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",isbn:"978-1-83962-547-3",printIsbn:"978-1-83962-546-6",pdfIsbn:"978-1-83962-548-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,hash:"e5ba02fedd7c87f0ab66414f3b07de0c",bookSignature:" John P. Tiefenbacher",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10765.jpg",keywords:"Managing Urbanization, Managing Development, Managing Resource Use, Drought Management, Flood Management, Water Quality Monitoring, Air Quality Monitoring, Ecological Monitoring, Modeling Extreme Natural Events, Ecological Restoration, Restoring Environmental Flows, Environmental Management Perspectives",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"January 12th 2021",dateEndSecondStepPublish:"February 9th 2021",dateEndThirdStepPublish:"April 10th 2021",dateEndFourthStepPublish:"June 29th 2021",dateEndFifthStepPublish:"August 28th 2021",remainingDaysToSecondStep:"23 days",secondStepPassed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"A geospatial scholar working at the interface of natural and human systems, collaborating internationally on innovative studies about hazards and environmental challenges. Dr. Tiefenbacher has published more than 200 papers on a diverse array of topics that examine perception and behaviors with regards to the application of pesticides, releases of toxic chemicals, environments of the U.S.-Mexico borderlands, wildlife hazards, and the geography of wine.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"73876",title:"Dr.",name:"John P.",middleName:null,surname:"Tiefenbacher",slug:"john-p.-tiefenbacher",fullName:"John P. Tiefenbacher",profilePictureURL:"https://mts.intechopen.com/storage/users/73876/images/system/73876.jfif",biography:"Dr. John P. Tiefenbacher (Ph.D., Rutgers, 1992) is a professor of Geography at Texas State University. His research has focused on various aspects of hazards and environmental management. Dr. Tiefenbacher has published on a diverse array of topics that examine perception and behaviors with regards to the application of pesticides, releases of toxic chemicals, environments of the U.S.-Mexico borderlands, wildlife hazards, and the geography of wine. More recently his work pertains to spatial adaptation to climate change, spatial responses in wine growing regions to climate change, the geographies of viticulture and wine, artificial intelligence and machine learning to predict patterns of natural processes and hazards, historical ethnic enclaves in American cities and regions, and environmental adaptations of 19th century European immigrants to North America's landscapes.",institutionString:"Texas State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"6",institution:{name:"Texas State University",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"12",title:"Environmental Sciences",slug:"environmental-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"194667",firstName:"Marijana",lastName:"Francetic",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/194667/images/4752_n.jpg",email:"marijana@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"878",title:"Phytochemicals",subtitle:"A Global Perspective of Their Role in Nutrition and Health",isOpenForSubmission:!1,hash:"ec77671f63975ef2d16192897deb6835",slug:"phytochemicals-a-global-perspective-of-their-role-in-nutrition-and-health",bookSignature:"Venketeshwer Rao",coverURL:"https://cdn.intechopen.com/books/images_new/878.jpg",editedByType:"Edited by",editors:[{id:"82663",title:"Dr.",name:"Venketeshwer",surname:"Rao",slug:"venketeshwer-rao",fullName:"Venketeshwer Rao"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"4816",title:"Face Recognition",subtitle:null,isOpenForSubmission:!1,hash:"146063b5359146b7718ea86bad47c8eb",slug:"face_recognition",bookSignature:"Kresimir Delac and Mislav Grgic",coverURL:"https://cdn.intechopen.com/books/images_new/4816.jpg",editedByType:"Edited by",editors:[{id:"528",title:"Dr.",name:"Kresimir",surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3621",title:"Silver Nanoparticles",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"silver-nanoparticles",bookSignature:"David Pozo Perez",coverURL:"https://cdn.intechopen.com/books/images_new/3621.jpg",editedByType:"Edited by",editors:[{id:"6667",title:"Dr.",name:"David",surname:"Pozo",slug:"david-pozo",fullName:"David Pozo"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"71135",title:"Herbicide Resistance in Brazil: Status, Impacts, and Future Challenges",doi:"10.5772/intechopen.91236",slug:"herbicide-resistance-in-brazil-status-impacts-and-future-challenges",body:'\nBrazil is one of the leading manufacturers and exporters of food, fibers and energy, being one of the largest producers of coffee, maize, grapes, oil plants, oranges (fruit and juice), soybeans, sugarcane and meat [1]. These agricultural commodities have a crucial role in the development and agribusiness of the country, being the focus of Brazilian production and exports [2]. Agricultural pests limit global food security by reducing crop yields [3, 4]. The crop losses caused by pest can be over 80% if they are not controlled. Even when pests are controlled, crop yield losses range from 23 to 38% [4]. To reduce these losses, synthetic pesticides have become the main pest management tool globally [5].
\nBrazil has the fourth largest cultivation area worldwide, after India, China, and the United States; however, to ensure its agricultural productivity, Brazil has become in the largest pesticide market since 2011 [6]. The pesticides consumption increased 300% from 1991 to 2010 in this country [5]. Although weeds are responsible for ~14% of crop losses, depending on the agricultural system and crop situation [4], herbicides represent ~58% of the Brazilian pesticide market, where only the herbicide glyphosate occupied 35% of pesticide sales [7]. This increase has been largely due to the cultivation of herbicide resistant (HR) crops, mainly those resistant to glyphosate (GR) [8]. In addition, the loss of the glyphosate patent by Monsanto in 2000, and consequently a reduction of its price, was decisive for its widespread use as the main tool to control weeds in GR crops as well as another agricultural systems [9]. The almost exclusive reliance of glyphosate to control weeds, but not only, selected for glyphosate resistant weeds forcing to test/use alternative herbicides to control them.
\nKnow the cause of the herbicide resistance, i.e., characterize the resistance mechanisms that govern it, is important for the proper choice of management methods [10]. However, of the 51 cases of herbicide resistance recorded for Brazil [11], only in few cases such resistance mechanisms have been studied [12, 13, 14, 15, 16]. Of the 17 cases of multiple or cross-resistance reported in Brazil, 14 occurred in the last 10 years. The most worrying case is Conyza sumatrensis, which was found as being resistant to the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPs) and photosystem I and II (PSI and PSII), protoporphyrinogen oxidase (PPO) inhibitors and synthetic auxins in a GR-soybean field from Assis Chateaubriand, Paraná [11]. Considering these data, the trend is that cases of herbicide resistance, mainly of the multiple resistance, continue increasing in the coming years in Brazil, if little effort is devoted to understanding the cause of herbicide resistance.
\nIn this chapter, we will describe the current overview of the situation of resistance to herbicides in Brazil, discuss the agronomic, scientific, technical and economic factors that have contributed, directly or indirectly, to increase cases of herbicide resistance, as well as the future trends of these agronomic issues according to the weed management measures that are currently being implemented in the country.
\nBrazil, with 77.8 million ha (8.9% of the national territory) in 2018 and with the goal of obtaining 85.7 million ha in 2029 [17], is one of the largest agricultural powers in the world. The area planted in Brazil represents only 3.4% of the global planted area, while countries like India, United States, China and Russia contribute with 9.68, 9,06, 8.96 and 8.38%, respectively [18]. However, Brazil is the main consumer of pesticides since 2011 (20% of the global market in 2017) [6, 7, 19].
\nPesticide consumption has almost doubled from 300.5 thousand tons of pesticide active ingredient in 2009 to 549.3 in 2018 in Brazil (Figure 1A). According to the pesticide trade reports of the Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA) [7], the use profile of pesticides has maintained a growth and similar trend in use in the last 10 years (2009–2018), where the sale of insecticides/acaricides and fungicides accounted for 28.9% of the national market, and the other classes of pesticides (nematicides, bactericides, adjuvants, growth regulators, etc.) occupied only 12.9%. However, the most striking is that herbicides are the products that dominate the national pesticide market with 58.2%, i.e., of every 10 kg of pesticides sold, 5.8 kg were herbicides. Additionally, the herbicide market has been dominated by five active ingredients (glyphosate, 2,4-D, atrazine, paraquat, and diuron), but glyphosate accounts for 36% of the national market (Figure 1B). Sales of glyphosate grew from 118.5 thousand tons of active ingredient in 2009 to 195.0 in 2018, i.e., increased 65% (Figure 1A).
\n(A) Commercialization of pesticides (tons of active ingredient × 1000) from 2009 to 2018 in Brazil. (B) Pesticide market share (%) according to their biological activity. Charts were constructed from the pesticide trade reports of the IBAMA [7].
As already noted, herbicides were the main pesticide class used in Brazil between 2009 and 2018, with oscillations from 52.4% (2011) to 62.5% (2012). The top 10 active ingredients used in this period were: 2,4-D, atrazine, paraquat, diuron, clomazone, tebuthiuron, picloram, trifluralin, MSMA, with some peaks in specific years of clethodim, hexazinone, and triclopyr, but the main herbicide has been glyphosate, consuming more than 50% of the herbicide market in the country (Figure 2A). In percentage terms, glyphosate consumption decreased 15% from 2009 (73%) to 2018 (58%) in favor of the use of other herbicide active ingredients that increased sales such as atrazine, 2,4-D and paraquat. The last active ingredient, with an average of 2.6% in the period 2009–2018, presented a regular increase in its sales going from occupying 1.2% of the herbicide market in 2009 to 3.9% in 2018. Already 2,4-D and atrazine have presented a variable preference on the part of the farmers. For example, 2,4-D (average of the period 12.7%) occupied 7.4% of the herbicide market in 2009, however, in 2017 it reached 18.2%, while atrazine (7.8%) represented the 4.7% in 2014 reached its highest peak in 2013 with 9.4% (Figure 2A). A large part of pesticides used in Brazil (81%) is destined to the production of four crops. Soybean is the main consumer being responsible for 52.2% of sales, followed by sugarcane (11.7%), maize (10.6%), and cotton (6.7%) (Figure 2B) [20].
\n(A) Percent evolution of the herbicide market in Brazil from 2009 to 2018. (B) Percentage of pesticides occupied in the main production systems of the country. Charts were constructed from the pesticide trade reports of the IBAMA [7].
The increase in the use of pesticides is related to the evolution of agricultural production, mainly to the increase of agricultural areas destined to monoculture of transgenic crops, i.e., crop varieties that carry traits of resistance to herbicides (HR), insects and diseases, mainly the events that stack glyphosate resistance (GR) traits [21]. According to the Instituto Brasileiro de Geografia e Estatística (IBGE) [22], more than 45% of Brazil’s cultivated area is occupied by soybean followed by maize (22%) and sugarcane (14%) (Figure 3A), which contributed 62% of the value of agricultural production in 2017 [1]. Between 2009 and 2018, soybean, maize, and cotton showed increases in cultivated area of 60, 17, and 41% [21]. However, the highest growth was observed in relation to the area destined for the cultivation of GR crops. For example, in 2008 there were 14.1 million hectares (64.8%) of GR soybean, but in 2018 the area destined for GR soybeans had more than doubled, occupying 33.4 million hectares (95.8%) (Figure 3B). The total area destined for the cultivation of maize showed a lower growth, but the area cultivated with GR varieties tripled in the same period from 4.4 million hectares (31.8%) in 2009 to 14.7 (89%) in 2018 (Figure 3C). The total cultivated area of cotton had highs and lows in this period, where the area devoted to the cultivation of GR varieties remained constant between 2012 and 2017 with ~0.75 million hectares. However, the area of conventional varieties was reduced from 50 to 16% in the same period. Today, 94% of the area devoted to cotton production is occupied by GR varieties (Figure 3D).
\n(A) Percentage of planted area by type of crop in 2015, and total area (million ha) and percentage occupied by transgenic varieties resistant to herbicides of soybean (B), maize (C), and cotton (D). Charts were constructed from the municipality productivity reports of the IBGE [22] and the Conselho de Informações sobre Biotecnologia [21].
The increase in area cultivated with GR varieties has impacted the pesticide market, since more than 70% of pesticides are used in the cultivated area with these crops. However, pesticide statistics do not provide information on how defenses are used in individual crops; therefore, it is not possible to conclude how pesticide use has changed as a result of large-scale adoption of GR varieties [23]. However, this scenario, specifically the herbicide market, reflects the great concern of farmers about the interference of weeds in the agricultural production, but also, how the use and high dependence of these products have had a direct impact on the selection and emergence of weeds resistant to herbicides.
\nThe rapid acceptance of GR crops, but not only, the addition of new productive areas and the increasing difficulty in obtaining labor in the fields, has established herbicides as the main control tool, even in integrated systems of weed management. This almost exclusive dependence on herbicides for weed management has contributed to the selection of herbicide resistant weeds with higher frequency. Herbicide resistance is the inherited ability of a plant to survive following application of the commercially used dose of the herbicide recommended for its control [24]. Currently 262 weeds (152 dicots and 110 monocots) have presented 512 unique cases (species x site of action) of herbicide resistance worldwide in 93 crops in 70 countries [11]. In Brazil, there are 51 weed species resistant to herbicides confirmed.
\nThe Brazilian situation of weed resistant to herbicides, mainly to the acetoacetate synthase (ALS) and acetyl coenzyme A carboxylase (ACCase) inhibitors, in conventional soybean cultivation in the mid-2000s was already considered unsustainable due to control difficulties, high cost and low efficiency of the available herbicides to control weed resistant species. The solution to this problem was the introduction of GR soybean varieties [23, 25]. Therefore, to understand the current status of herbicide resistance, it is important to note that GR crops were officially approved in 2005 in Brazil, although GR soybean was irregularly introduced and cultivated in Rio Grande do Sul since 2000. Therefore, the chronological appearance of herbicide resistant weeds is divided into two periods: the pre-glyphosate era preceding 2005 when the use of herbicides was more diversified, and the post-glyphosate era, beginning after approval of GR crops involving an almost exclusive use of glyphosate. In the pre-glyphosate era, from 1993 to 2004, 16 cases were reported, of which only one case presented multiple resistance to two sites of action. In the post-glyphosate era, 35 cases have been reported, of which 16 are cases of multiple resistance. The weed genera with the most resistance cases are Amaranthus (7), Conyza (8), and Lolium (5) (Figure 4).
\nHistory of reports of herbicide-resistant weeds in Brazil. Vertical bar indicates the official introduction of transgenic crops resistant to glyphosate. Chart was constructed from the information available in the International Survey of Herbicide Resistant Weeds database [11].
The main groups of herbicides with resistance are the ALS, ACCase, EPSPs, and PSII inhibitors with 30, 9, 16, and 7 cases, respectively (Figure 5A). The crop systems with more frequency of herbicide resistance were soybean (30), maize (12), rice (10), wheat (9), and cotton (8) (Figure 5B). The Southern, comprising the states of Paraná, Santa Catarina and Rio Grande do Sul, and the Central-West (only in Mato Grosso and Mato Grosso do Sul) regions present 82% of the cases, being Paraná the state where more cases of herbicide resistance were reported (Figure 5C). Most of these cases were found in GR crop fields and occurred after 2005, i.e., in the post-glyphosate era, evidencing the drastic changes that GR crop technology caused in weed management.
\nHistory of reports of herbicide-resistant weeds in Brazil per mode of action of herbicide (A), crop situation (B), and state of first record (C). MT/MS are the abbreviation of the states Mato Grosso and Mato Grosso do Sul. Charts were constructed from the information available in the International Survey of Herbicide Resistant Weeds database [11].
The first cases of resistance to ALS inhibitors were Euphorbia heterophylla and Bidens pilosa reported in 1993 in soybean areas in the states of Mato Grosso do Sul and Rio Grande do Sul, which showed cross-resistance to sulfonylureas and imidazolinones [26]. After, resistant biotypes of B. subalternans (1996) [27], Parthenium hysterophorus (2004) [28], Conyza sumatrensis (2011) [29] and Ageratum conyzoides (2013) were found in Paraná. The latter species was also reported in cotton in Mato Grosso [11]. However, the greatest resistance challenges to ALS inhibitors are found in irrigated rice cultivation. The species reported with ALS resistance in this culture are: Sagittaria montevidensis (1999) [30], Echinochloa sp. (1999) [31], Cyperus difformis (2000) [32], Fimbristylis miliaceae (2001), Oryza sativa (2006), and Cyperus iria (2014) [33] in Rio Grande do Sul and Santa Catarina.
\nCases of resistance in rice cultivation are associated with the rapid adoption of Clearfield® technology (crops tolerant to imidazolinones, a chemical group of ALS inhibitors), which were introduced in 2002 in areas of southern Brazil [34]. Although the emergence of new resistant species after the adoption of Clearfield® cultivars did not increase significantly, the dispersion of weed populations resistant to ALS inhibitors, mainly of red rice, was favored by genetic flow of cultivated rice to red rice, representing a great agricultural, economic, and social restriction in the use of Clearfield® technology [35].
\nOther specific, but not least, cases of resistance to ALS inhibitors are Raphanus sativus (2001), Lolium multiflorum (2010), and R. raphanistrum (2013), found in wheat and barley in Rio Grande do Sul and Paraná; and Amaranthus retroflexus (2012) in cotton in the states of Mato Grosso, Mato Grosso do Sul and Goiás [11, 36, 37].
\nCurrently, nine weed species have been reported with glyphosate resistance in Brazil, some of these species have multiple resistance to other modes of action [11]. Lolium multiflorum (2003) was the first species identified with glyphosate resistance in orchards and vineyards from Rio Grande do Sul [38]. After, Conyza bonariensis (2005), C. canadensis (2005) [39], C. sumatrensis (2010) [40], Digitaria insularis (2008) [12], Chloris elata (2014) [13], Amaranthus palmeri (2015) [14], Eleusine indica [15], and A. hybridus (2018) [11] were identified with this resistance mainly in maize and soybean, and wheat fields, but also in citrus and coffee orchards in the states of Mato Grosso, Paraná, Rio Grande do Sul and São Paulo.
\nWith the exception of L. multiflorum, the selection of glyphosate resistance in these species is related to the use of GR cultivars, which has also influenced their dispersion throughout the country. Resistant populations of L. multiflorm have gone from infesting apple orchards and vineyards to invading GR-soybean fields in the southern states of Brazil [41]. The species of the genus Conyza, which have a high invasive potential due to the large seed production, the rapid and high germination capacity, cause great damage to agriculture, and due to their poor interspecific differentiation, it can be an exchange of resistant alleles between species [42]. However, D. insularis has been, among glyphosate resistant species, one of the main problems to be faced; therefore, greater efforts have been made to characterize the factors involved in its resistance, dispersal and management [12, 43, 44, 45, 46, 47, 48]. Molecular studies showed that the first glyphosate resistant D. insularis populations found in the country (Guairá—Paraná) came from Paraguay and were dispersed to other states of Brazil, partly due to their biology and perennial capacity, but mainly due to anthropogenic activities, such as the lack of cleanliness of agricultural implements, but also events of independent selection [47, 48].
\nOther weeds that pose a major challenge to Brazilian agriculture are species of the genus Amaranthus, as they are often reported with glyphosate resistance in GR fields in the United States and Argentina [49]. In addition, Amaranthus sp. can hybridize interspecifically facilitating dispersion of resistance alleles [50]. In Brazil, A. palmeri was reported to have glyphosate resistance in 2015 [11], when its multiple resistance to the ALS inhibitors was also corroborated [14]. However, the Instituto Mato-Grossense do Algodão had records of the occurrence of glyphosate resistant populations of this species since 2012 in the municipalities of Ipiranga do Norte and Tepurah, Mato Grosso, that was imported from Argentina in cotton harvesting machines in 2011 [51]. Recently, multiple resistance of A. hybridus to glyphosate and ALS inhibitors was also confirmed in Rio Grande do Sul in soybeans [11, 52]. With respect to the latter case, there is great concern because it is feared that it has also been introduced from Argentina, where populations of A. hybridus with this resistance profile carry mutations in the genes encoding the target enzymes [53]. In the case of glyphosate resistance, it is a triple mutation that confers high levels of resistance and that had not previously been observed in any other species [10, 54]. In addition, in Argentina there are also populations of the species with multiple resistance to 2,4-D and dicamba [55]. Therefore, if it is confirmed that the resistant populations of A. hybridus found in Brazil were introduced from Argentina, the scenario faced by Brazilian farmers in the coming years in relation to weed management will be very difficult.
\n\nUrochloa plantaginea (1997) [56], Digitaria ciliaris (2002) [57], Eleusine indica (2003) [58], Avena fatua (2010) [11], and D. insularis [16] were reported with resistance to ACCase inhibitors, mainly in non-transgenic soybean fields. These findings demonstrate the importance of these herbicides for the control of grasses in soybean fields, due to the low availability of selective herbicides that effectively control these weeds in pre-emergence conditions, allied to the difficulties of using graminicides, since these products have high retention in the organic matter [29].
\nThe majority of herbicide resistance cases reported in Brazil are included in the three groups of herbicides described above, following the global trend. However, cases of resistance to other modes of action have also been found. In 1999, Echinochloa crus-pavonis and E. crus-galli were reported with resistance to synthetic auxins, specifically quinclorac, in rice fields of Itajai, Santa Catarina [59]. Amaranthus retroflexus (2014) and C. sumatrensis (2017) were reported with resistance to PPO inhibitors [11]. The first showed fomesafen resistance and it was found in GR-soybean and -cotton fields of Mato Grosso; and C. sumatrensis presented resistance to saflufenacil in soybean fields in the western region of Paraná in the municipalities of Palotina and Assis Chateaubriand [11]. This last species had already been confirmed to be resistance to chlorimuron-ethyl (ALS inhibitor) in 2011 [60] and paraquat (PSI inhibitor) in 2016 [61] within the same region.
\nCross resistance is expressed when a weed resistant biotype shown resistance against two or more herbicides with the same mode of action, and multiple resistance occurs when a weed resistant to a given herbicide manifests resistance to two or more different modes of action. Most cases of resistance to ALS inhibitors have cross resistance, that is, weeds resistant to imidazolinones often have a degree of resistance to sulfunylureas and vice versa [29]. Eleusine indica resistant to sethoxydim (cyclohexanediones) showed resistance to the ariloxifenoxipropionatos (FOPs) [58], and quinclorac resistant E. crus-galli showed cross resistant to others synthetic auxins [11]. Weeds with cross resistance represent a great challenge for Brazilian agricultural sustainability; however, weeds with multiple resistance are more challenging by reducing chemical alternatives for their control.
\nThe occurrence of multiple resistance has increased significantly in recent years, and most of the reported cases occurred in the post-glyphosate era. The first case of multiple resistance was E. heterophylla, which was found in fields of maize and soybeans in 2004 and showed resistant to triclopyr and fomesafen (ALS + PPO) [62]. In 2009, E. crus-galli was found with resistance to synthetic auxins and ALS inhibitors in rice fields in Rio Grande do Sul [34]. Biotypes of B. subalternans (2006) and B. pilosa (2016) were found to be resistant to atrazine (PSII inhibitors) and ALS inhibitors in soybean and maize fields from Paraná [63]. Among the cases that involves glyphosate resistance are C. sumatrensis (2014), A. palmeri (2015) and A. hybridus (2018) as dicots, that also shown resistance to the ALS inhibitors and were found in soybean fields [11, 14, 60], and L. multiflorum (2010), D. insularis (2016), and E. indica (2016) as monocots with resistance to the ACCase inhibitors. However, the most worrying case is Conyza sumatrensis reported in 2017, which was found as being resistant to EPSPs, PSI, PSII, PPO and synthetic auxins in a GR-soybean field from Assis Chateaubriand-PR [11].
\nThis brief account shows the global scenario of the current situation of herbicide resistance in Brazil; however, it is far from reality, because only the first occurrence of a unique case (species x site of action) is reported, while in countries like the United States and Australia, there are multiple reports for the same unique case of herbicide resistant occurring in different regions. For example, the case of A. palmeri resistant to glyphosate have more than 30 reports along of the United States [11]. To have an idea of the real problem in Brazil, we have as an example the study conducted by Lopez-Ovejero et al. [45], who determined the frequency and dispersion patterns of glyphosate resistant D. insularis revealing the existence of 1299 (of 2596) populations with different resistance levels to this herbicide distributed only in the areas of soybean production. In the scientific-academic environment it is commonly said that it is more difficult to find a population susceptible to the glyphosate of C. sumatrensis or D. insularis than a resistant one. In addition, from the botanical point of view, more species of the Amaranthaceae, Asteraceae, Cyperaceae, and Poaceae families have high potential to select for resistant to the inhibitors of ALS, ACCase, EPSPs, PPO, and synthetic auxin herbicides in the coming years [64].
\nGenetic factors such as genetic variability (mutations localized in a single locus), heredity patterns (dominance of genes enable rapid dispersion), type of pollination (cross-pollination allows for greater genetic recombination and recessive alleles are more easily established in autogenous species), flow gene (transfer resistance characteristics to a susceptible population) and number of resistance genes involved; and bioecological factors such as short life cycle, high seed yield, low dormancy, multiple generations per year, mechanism of propagule dispersion, extreme susceptibility to herbicides, population size, and low biodiversity are key factors in the selection of herbicide resistant weed populations [65]. However, in this section only the agronomic, economic, and even scientific-technical factors that may have contributed to the increase in herbicide resistance in Brazil will be discussed.
\nAmong the agronomic factors that favored the rapid selection of resistance are the characteristics of the herbicide used and the cultural practices. Some herbicide chemical groups have a higher risk of selecting for resistance, especially those with a single mechanism of action or detoxification way (high specificity). High dose applications provide greater selection pressure for resistant weed individuals. The greater persistence of a herbicide also favors the selection for resistance, since the period of exposure is longer, therefore, the ideal is that the herbicide only has effect in the critical period of competence. Reduced crop rotation (monoculture), lack of alternative herbicides, nonuse of herbicide mixtures or sequential applications, nonremoval of weeds from field that escaped herbicide control, and poor inclusion of nonchemical methods are major cultural practices that can lead to emergence of herbicide resistance [66].
\nIn Brazil, a large part of crop production systems is intensive, and today effective weed management without herbicides is inconceivable in the short term in these systems [67]. In addition, a large part of the agricultural areas is occupied with HR crops, resistant to glyphosate or imidazolines, as described in Section 2. The adoption and the use of these technologies caused great changes in weed management, which in most cases, implied the substitution of different herbicidal molecules, that were traditionally used before the insertion of HR crops, by the almost exclusive herbicide associated with said technology in question, at least in the first years after its adoption [23, 68]. For example, in the United States, glyphosate applications replaced a large part of previously used herbicides in GR crops [69].
\nIn Brazil, during the first years after the adoption of GR crops, glyphosate was used in various steps of the production process (chemical fallow (pre-planting), weed management (single or sequential), and desiccation) in doses ranging from 2 to 8 L ha−1, and in some cases, those doses exceeded 10 L ha−1 per application [69]. In other cases, many GR soybean farmers delayed the management of weeds that germinated before planting in order to control them with post-emergent applications of glyphosate made on the crop when the competition between the soybean and weeds had already begun [23, 69].
\nThe almost exclusive use of glyphosate quickly showed deficiencies in weed control [23]. Species such as A. palmeri, Conyza sp., C. elata, D. insularis, and E. indica selected for resistance to this herbicide, forcing farmers to use other herbicides in areas cultivated with GR crops [70]. Herbicides such as 2,4-D, ACCase inhibitors, and ALS were retaken for weed control during pre-sowing (chemical fallow) and crop development, and glufosinate, diuron, and paraquat for desiccation. Currently, glyphosate is applied in isolation only 14% of the time [71]. At the same time, the relative amount of glyphosate used per hectare decreased. For example, 118.5 tons of glyphosate were sold in 2009 and there were 18.6 million ha of GR crops (14.1 soybean +4.4 maize +0.13 cotton), and by 2018, there were 49.2 million ha of GR crops (33.4 soybean +14.7 maize +1.15 cotton) and 195.1 tons of glyphosate were sold. Considering that only these three crops consume 70% of pesticides market of Brazil, in 2009, 4.46 kg of glyphosate ha−1 year−1 were used, while in 2018, that amount was 2.78 kg of glyphosate ha−1 year−1, i.e., there was a reduction of at least 26% (Figure 1A and 2A). On the other hand, sales of herbicides such as 2,4-D, paraquat, atrazine, increased between 2009 and 2018 (Figure 2A). However, the increase in the use of herbicides with different mode of action, applied in mixture or in sequence with glyphosate, has contributed to the emergence of weeds with multiple resistance.
\nParaquat and diuron are considered as bodyguard of glyphosate and are essential tools for Brazilian farmers to hamper the spread of glyphosate resistant weeds [72]. However, the use of paraquat is only authorized until 2020 by the Agência Nacional de Vigilância Sanitaria (ANVISA) after several studies demonstrated that this herbicide can cause Parkinson’s and irreversible damage to the genome [73]. Therefore, this legal determination will represent a new challenge in relation to the management of glyphosate resistant weeds, not only in GR fields.
\nCurrently, soybean farmers are anxious and have high expectations with the introduction of new varieties of transgenic soybeans of the technologies Enlist E3™ (2,4-D + glyphosate + glufosinate) and Intacta 2 Xtend® (dicamba + glyphosate) that, have stacked traits of resistance to lepidoptera and up to three herbicides and, will be available in the Brazilian market for commercial use as of the 2020/2021 and 2021/2022 cycles, respectively [74, 75]. On the other hand, the use of synthetic auxins has also been questioned. According to the Instituto Brasileiro do Vinho (Ibravin), the 2,4-D drift used to control weeds in pre-planting of GR soybeans caused damage estimated in R$ 100 million only in 2018 in vineyards of Rio Grande do Sul [76]. Moreover, the use of auxinic herbicides needs to be done with caution, especially in periods with lower temperatures, since any problems related to the application technology, which allows the contact of Digitaria sp. plants with low doses of these herbicides, will promote the re-growth of these weeds, which will hinder its control and favor the dispersion of this species [77].
\nCrop rotation is a consolidated weed management strategy in most of the grain-producing agricultural regions of Brazil. However, it often involves the use of the same technology, i.e., GR soybean is replaced by GR maize and vice versa. This situation is due to the high competitiveness of global commodity markets, which have led farmers to specialize in the production of one or few closely related crops, avoiding the implementation of more complex crop rotations (grain by vegetables). The efficiency obtained by the specialization, which allows the use of the same seeder, combine and marketing infrastructure, has led to the widespread adoption of monocultures [67]. This limited crop rotation (grains by grains), has impacted on the use of herbicides because the number of applications is doubled per agricultural year (3–5 applications per agricultural summer or winter cycle), since second crop requires similar agricultural tasks to the first crop. This practice has increased the herbicide selection pressure on weed populations, but also have provoked the occurrence of voluntary plants from the previous crop, which are difficult to control because they have a similar herbicide resistance profile as the current crop, reducing the crop yield [78, 79].
\nDirect sowing systems in conjunction with other cultural weed control practices such as cover crops and crop rotations reduce weed population densities [67]. Brazil is one of the few countries that have widely adopted the direct sowing system. This production system reduce the annual weed density compared to conventional agricultural systems [67]; however, the appearance of biannual (Conyza sp.) or perennial (C. elata, D. insularis, and E. indica) weeds have been favored [29, 40, 66], which under continuous selection pressure of glyphosate selected for resistance; therefore, weed management strategies more complex are required.
\nThe Brazilian technical and scientific community specialized on weed science is very large, and their efforts to prevent, monitor, identify, and establish management programs of herbicide resistant weeds, as well as to alert farmers about the occurrence of new cases in order to reduce their dispersion are also very large. Symposiums, congresses, and multiple regional, national, and even international extension activities are frequently held to improve the sustainability of the main production systems, bringing together farmers, researchers, agricultural companies (machinery, pesticides, seeds, etc.), politicians, and agronomy students. In this way we can affirm that the Brazilian agricultural community knows in depth the negative impacts of herbicide resistance. The main efforts of the scientific community are addressed in combating the “problem,” as evidenced by the greater amount of research papers proposing alternative management strategies of herbicide resistant weeds. For example, in 2019, of the 150 articles published in Planta Daninha (scientific journal published by the Brazilian Society of Weed Science), 22 papers addressed issues related to alternative methods of weed management (chemical, nonchemical, or combined measures), four articles reported the occurrence of new herbicide resistant cases, and only two articles fully or partially characterized the mechanisms of resistance involved (Material S1), i.e., studied the “cause” of herbicide resistance. Planta Daninha is not the only scientific journal where Brazilian researchers publish their results, but if it is the main one; therefore, these data reflect the trend in which they invest their main efforts to combat herbicide resistance.
\nKnowing the “problem” is one thing, but knowing the “cause” is another. Herbicide resistance would be equivalent to referring to a headache. In both cases, the “problem” is known, but the “cause” is unknown. We often underestimate headaches (which can be caused by muscle tension, stress, anxiety, head trauma, etc.) by resorting to self-medication or requesting medication from the pharmacist on duty, who asks a series of questions and recommends some type of analgesic. The pharmacist has not identified the “cause” of the problem, but his recommendation could totally or temporarily relieve the headache and, at the same time, we avoid the consultation with a specialist doctor. Similarly, agricultural field technicians have a deep understanding of the negative impact of herbicide resistant weeds and often recommend different management alternatives; however, they do not know the “cause” of herbicide resistance. Implementing herbicide resistance management measures without knowing the cause of it, by characterizing the resistance mechanisms that govern it would be equivalent to self-medicating. In many cases, herbicide resistant weeds are satisfactory controlled initially, but often the problem worsens over time, resulting in cases of cross and/or multiple resistance. This analogy allows us to infer, that in many cases, Brazilian technicians, and even weed scientist, have acted more as pharmacists than as doctors. This scenario can be added that many field professionals (agronomists and sales agents of pesticides) act without professional ethics prescribing pesticides in a superhuman rhythm [80]. In Brazil, farmers need of prescriptions to purchase these products; however, a professional is often an employer of cooperatives or reseller pesticide offices, so he needs to sell supplies to guarantee his employment [80]. A study carried out by the Agência de Defesa Agropecuária do Paraná (ADAPAR) showed that at least 30% (600 of 2000) of the field professionals signed daily between 7 and 17 prescriptions between 2015 and 2017, i.e., they signed 1–2 prescription for every hour of work. According to ADAPAR, this fact is technically inviable due to the long distance between properties, because to sing a prescription, the field professional must visit the crop fields [80].
\nIn theory, Brazilian weed scientists know the cause of herbicide resistance, i.e., they are familiar with the possible physiological, biochemical, and molecular mechanisms that can confer it. However, studies aimed at characterizing these mechanisms are scarce, often conducted only with the first population(s) that confirmed the occurrence of a given case of herbicide resistance. In addition, the resistance mechanisms characterized in a herbicide resistant population have been adopted in a generalized manner by technicians and other weed researchers, assuming that new occurrences of a case of herbicide resistance already reported (species x herbicide) will have the same mechanisms observed in the first resistant populations. This conclusion may be partially correct when a new occurrence is found in agricultural areas near where the first occurrence was found (dispersion) [48]. However, resistance within the same area and between geographically distant areas may be due to independent herbicide resistance selection events [81], so the resistance mechanisms involved may be different. When multiple studies on the characterization of resistance mechanisms have been carried out on the same weed, the results have been interpreted in a controversial way by the scientific community. For example, in the case of glyphosate resistant D. insularis there is no consensus of the mechanism that governs such resistance [82]. In the first populations of glyphosate-resistant D. insularis, collected in the state of São Paulo in 2009, the reduced absorption, translocation and metabolism of the herbicide, and a gene mutation (at the Pro-106 EPSPs gene position referred to as Pro-182) were the mechanisms conferring that resistance [12]. After, differences in absorption, but not in the translocation of glyphosate and the occurrence of mutations were observed in other populations [83, 84], while collected populations in different regions of the State of São Paulo presented mutations and enhanced activity of the EPSPs [85]. In the most recent study, including glyphosate resistant D. insularis populations collected in different states, it was not possible to characterize the mechanism (s) involved in the resistance [86]. These results show that resistance to a given herbicide can be governed by different mechanisms, acting in isolation or together, in the same species. In addition, these divergent results observed in the different studies show that each new occurrence must be evaluated individually, therefore, this information should not be used to generate a consensus on the mechanisms involved in the resistance of a given case (herbicide x species).
\nKnowing the mechanisms that govern herbicide resistance is fundamental to plan a proper management strategy, since in some cases, a specific mutation (target site mechanism) does not represent that a herbicide with the same mode of action to which resistance was observed can be used. For example, the Ala-122-Thr mutation in the ALS gene confers high resistance to imidazolinones, but does not confer resistance to sulfonylureas [87]. In the case of herbicide metabolism (non-target-site mechanism) regulated by the cytochrome P-450 enzyme complex, which can confer multiple resistance up to six or possibly more groups of herbicides [88], the use of the same herbicide to which resistance was reported it may be possible using a cytochrome P-450 inhibitor such as malathion or phorate before applying the herbicide in question [89, 90]. Paraquat is an alternative for the management of glyphosate resistant weeds only if resistance is not governed by vacuolar sequestration, since although they have different mechanisms of action, this non-target-site mechanism confers resistance to both herbicides [91]. It is important to note that the management of herbicide resistance is not as simple as described here, since it often involves the participation of different resistance mechanisms, but the timely and appropriate characterization of them could reduce the use of complex mixtures of herbicides in high doses, reducing the impact environmental [92].
\nSome Brazilian weed research groups have partnerships with weed scientists from the United States and Spain and other countries, who collaborate actively in studies that characterize the mechanisms of the most important cases of herbicide resistance of the country [12, 13, 14, 15, 16, 93]. However, these efforts are still insufficient and the previous information allows us to infer that in most cases, the management of herbicide resistance in Brazil has been faced in an inverse way, i.e., first, efforts are made to test and propose different alternatives to solve the “problem” and, in some cases, then try to characterize the “cause.” This would be equivalent to placing the shoes first and then the socks. Therefore, to face the problem of herbicide resistance, more efforts must be made to characterize the resistance mechanisms involved in each case, and only later, evaluate different alternative management strategies that are technical and economically viable.
\nIn this aspect there are two great scenarios. On the one hand, there are the pesticide manufacturers that are valued according to the volume of sales of their products; therefore, they invest their efforts in “conquering” more farmers every day so that they use their products and thus have greater presence in the market and consequently greater prestige. On the other hand, there are farmers who in turn want to obtain the highest profit margin with the least investment, often, in the short term.
\nAs highlighted in the previous section, Brazilian scientists focus their efforts on developing herbicide-resistant weed management strategies, mainly through the applications of herbicides with different modes of action applied in tank mix or in sequence [71]. These investigations are often funded by pesticide manufacturers. Although the conclusions are not biased, objectively reflecting which treatments are the best alternative to control certain weed resistant herbicide(s) in a particular production system, and the researchers also do not recommend the use of commercial formulations of a specific manufacturer, obviously the intention of the financing pesticide manufacturer is to increase the sales of its products and technologies.
\nWeed researchers evaluating alternative management programs often find at least one efficient control option, both for the level of control achieved (> 80%) and for the period that a treatment maintains the level of control, i.e., there are solutions to the “problem,” and Brazilian weed scientists never have stopped looking for new herbicide management alternatives. However, if research is abundant in this regard in the country, why do cases of herbicide resistance continue to increase? The answer to this question is possibly related to the fact that in most of these studies the costs (herbicides + cost of operations + worker’s payment) of the resistance management programs evaluated are not considered. In addition, the yield (kg ha−1) that a given management program can guarantee to the farmer is rarely determined. A specific case that addresses these two aspects (cost vs. yield) is the study developed by Piasecki et al. [94], who evaluated 16 treatments, of which 11 did not show differences in soybean yield (3600–3750 kg ha−1), but there were differences in the costs of each treatment, since they were composed by 3 or 4 herbicides. In that study, the highest yield of soybean (3888 kg ha−1) was achieved with the treatment consisting of glyphosate + chlorimuron-ethyl +2,4-D + saflufenacil (T13: 1080 + 25 + 670 + 50 g ia ha−1), which had a cost of R$ 180.00 ha−1. However, the best relative economic return was obtained with the treatment of glyphosate + chlorimuron-ethyl +2,4-D (T12: 1080 + 22.5 + 670 g ia ha−1), which presented a yield of 3749 kg ha−1 and cost only R$ 85.00 ha−1. This study did not include the costs related to the application operations, but contrasting the cost of a management program with the crop yield can be an additional tool for the farmer, so that he can estimate his profit margin and decide whether or not to adopt given weed management program.
\nThis situation is also reflected in the type of HR crop technology used by farmers. For example, Liberty Link® technology (glufosinate resistant crops) is available in Brazil since 2016/2017 cycle [95]; however, its use is low compared to GR crops, since glufosinate is, in average, three times more expensive than glyphosate. Total glufosinate sales exceeded 1000 tons year−1 in 2017 (1137 tons) and 2018 (1450 tons), but they are still very far from glyphosate sales (173,150 and 195,056 tons in 2017 and 2018, respectively) [7]. This shown that farmers often prefer to continue living with glyphosate resistance than to adopt a new but more expensive technologies, i.e., the adoption of an HR technology is motivated by the cost–benefit ratio by saving costs devoted to pest control guaranteeing high yields [2]. Therefore, the success of Enlist E3™ and Intacta 2 Xtend® technologies, which will be available in the Brazilian market from 2020/2021 and 2021/2022 crop cycles, respectively, will depend on their final cost; meanwhile, farmers will continue to be reluctant to adopt integrated management measures for herbicide-resistant weed control or new HR technologies [96, 97]. The Brazilian scientific community has the task of demonstrating to the farmers that, although the implementation of an integrated weed management program is complex and expensive initially, in the long term it is profitable and environmentally sustainable [98].
\nThe economic impact of herbicide resistance management is related to the need to use alternative herbicides with different modes of action, yield losses caused by competition, but mainly to the weed species resistant to being controlled [25]. The cost of alternative herbicides varies according to the choice of farmer, as there is often more than one herbicide option available. Yield losses caused by competition vary according to weed and crop competitive ability, number of plants per area, vegetative stage of crops and weeds, soil fertility, and water availability, among other factors. Therefore, estimating the real economic impact of herbicide resistance on Brazilian agricultural activity is difficult.
\nEmbrapa’s Herbology Research Group (GherbE) has been continuously monitoring herbicide-resistant weeds in grain production systems in Brazil since 2010, through questionnaires and consultations with technical assistance, farmers, and other researchers; seed collection from areas suspected of resistance with subsequent tests for resistance in a greenhouse; field experiments; and visits to areas with suspected resistance. Resistance monitoring by GherbE researchers was made possible through the joint implementation of the projects “Identification and characterization of glyphosate resistant weeds in Brazil” and “Integrated management of herbicide resistant weeds in soybean production systems” [99]. Relevant information is now available showing the potential economic impact of glyphosate resistant weeds on soybean production and the most representative results are summarized here [25, 99, 100].
\nThe average cost of nonresistant weed control in 2017, restricted to two post-emergence glyphosate applications and one for desiccation, was estimated in R$ 120.00 ha−1. In a scenario of glyphosate resistant L. multiflorum infestation, in addition to glyphosate, it is necessary to add a graminicide (ACCase inhibitor), increasing the average cost to R$ 177.65 ha−1. If the infestation is of Conyza sp., the use of a latifolicide such as 2,4-D increases the average cost to R$ 170.50 ha−1. In areas infested with D. insularis, a weed more difficult to control than L. multiflorum, requires the use of graminicides in both postemergence and desiccation, and may be interspersed with contact herbicides such as paraquat and glufosinate, increasing the average management cost of this species up to R$ 318.35 ha−1. However, in mixed infestation scenarios, herbicide resistance management is complicated because herbicide options are reduced. For example, infestations of Conyza sp. and L. multiflorum require selective herbicides for cultivation during soybean vegetative phase, with flumioxazin and trifluralin being the main options, while for desiccation 2,4-D and paraquat are required for control of Conyza sp. and L. multiflorum, respectively. The average control cost in this scenario may reach R$ 197.55 ha−1. If the infestation is of Conyza sp. and D. insularis, the control cost can be up to R$ 386.65 ha−1, i.e., R$ 266.65 ha−1 more expensive compared to one scenario without resistance. These estimates do not consider the possible occurrence of multiple resistance of L. multiflorum and D. insularis to graminicides or Conyza sp. to latifolicides, scenarios in which the cost of management is more expensive and restricted in relation to the alternative herbicide options available [25].
\nAccording to GherbE monitoring, 59% of soybean area (20.1 out of 34.0 million ha) had infestations of glyphosate-resistant populations of Conyza sp., D. insularis and/or L. multiflorum in 2017. Lolium multiflorum affected 4.2 million ha in the southern states, and this weed occurred simultaneously with Conyza sp. in 3.4 million ha. The areas infested by Conyza sp. and D. insularis were estimated at 7.7 and 8.2 million ha, respectively, of which 2.7 million ha correspond to mixed infestations of these two species [100]. On the GherbE website it can visualize distribution maps of these weeds in the different agricultural regions of Brazil [99]. Analyzing the infested area and the control cost according to the infesting weed species, the average cost of resistance management was R$ 4,918,820,000.00 in 2017 [25]. If a conservative 5% yield loss by weed competition is added, the total cost of herbicide resistance in Brazil exceeds R$ 9 billion annually in soybean cultivation alone [25].
\nBrazil is a consolidated agricultural power; however, the large size of its agricultural activity, especially the intensive production, makes it highly dependent on pesticides for the management of phytosanitary issues, which has led to the emergence of pests resistant to these products.
\nMuch of the Brazilian agricultural activity (68.4%) is focused on the production of grains (52.5% soybean, 10.6% maize, and 5.3% other grains) by cultivating herbicide-resistant crop varieties. The introduction, rapid adoption, and high dependence on these technologies and their associated herbicides (58% of the national pesticide market) caused major changes in weed management practices, contributing to the selection of herbicide resistance weeds.
\nToday, herbicide resistance is a fait accompli in Brazil; however, the problem is not rooted in the cultivation of herbicide resistant crops but in the inappropriate use of these technologies as a whole, mainly related to off-season applications and herbicide overdose. Clearly, weed management practices must be constantly changed to prevent or delay the emergence of resistant plants in an area. However, the high specialization of farmers to grow, manage and market one or few crops with similar agricultural tasks limits the implementation of alternatives weed management measures as well as reduce more complex crop rotations (i.e., grains by vegetables instead of grains by grains), since transferring their production system to other crops requires investments in professional training, infrastructure, new agricultural implements as well as in the creation of new marketing networks; otherwise, farmers have no guaranteed economic return. In addition, farmers prefer to continue living with the herbicide resistance, and they are reluctant to adopt integrated weed management measures or new herbicide resistant crop technologies for herbicide resistance control if their profit margins are not severely compromised.
\nThe management of the herbicide resistance may represent an increase ranging from 100 to 350% ha−1 of the costs devoted for weed control in relation to fields with no resistance. However, the dimensions of this phytosanitary issue is incalculable, as five glyphosate resistant weeds (C. bonariensis, C. canadensis, C. sumatrensis, D. insularis, and L. multiflorum), occurring only in soybean, infested ≥25% of the total planted area (20.1 out of 77.8 million ha) of Brazil, and caused R$ 9 billion of losses in 2017. To know the true economic impact of herbicide resistance, the areas of other crops infested by these glyphosate resistant weeds, as well as areas affected by the other 46 cases of herbicide resistance (species x herbicide x crop situation) reported in Brazil should also be considered.
\nBrazilian technical and scientific community specialized on weed science continually made great efforts to prevent, monitor, identify as well as discuss and establish new weed-resistant weed management strategies. However, in most cases, herbicide resistance has been fought in an inverted way, i.e., it has been tested/implemented for solutions to the problem without determining the cause; therefore, if little effort continues to be devoted to characterize the resistance mechanism involved in each case of herbicide resistance before implementing weed management strategies, new occurrences of herbicide resistance weeds, mainly with cross- and multiple-resistance, will continue to appear in the coming years in Brazil.
\nBesides inherent biological factors of weeds to select herbicide resistance, agronomic, economic and scientific-technical factors have, directly or indirectly, contributed to increasing cases of herbicide resistance. These factors are generally linked to each other but they often are analyzed separately. Therefore, in order to achieve sustainable weed management, future studies aimed at addressing herbicide resistance problems by evaluating different weed management programs should consider these factors, as well as practical and economic aspects for their large-scale implementation.
\nThe Brazilian weed science community have the great challenge of demonstrate to farmers that the implementation of integrated weed management programs may be expensive initially, but in the long term it is profitable and environmentally sustainable.
\nRAC, GMO, and MFGFS thank the “Fundação de Amparo à Pesquisa do Estado de São Paulo—FAPESP” for the financial support (main-grant: 2014/50918-7, sub-grants: 2018/15910-6 and 2019/15527-0).
\nMutations in the FLT3 gene represent the most common genetic aberrations among patients with acute myeloid leukemia (AML) [1, 2]. Internal tandem duplication mutations in the FLT3 gene (FLT3/ITD), which are expressed in human acute myeloid leukemia (AML) stem cells, are found in ~30% of patients with AML [3]. FLT3/ITD+ AML is one of the most intractable hematological malignancies because of the emergence of resistant clones to FLT3/ITD inhibitors or chemotherapies [3, 4]. FLT3/ITD allows ligand-independent activation and phosphorylation of the FLT3 receptor. Ectopic FLT3/ITD expression in IL-3–dependent mouse Ba/F3 or 32D hematopoietic cells results in growth factor–independent proliferation and produces acute leukemia in mice [5, 6]. Studies have indicated that FLT3/ITD transforms mouse hematopoietic cell lines via the activation of the STAT5, RAS-MAPK, and PI3-kinase/AKT pathways [5, 7, 8] and blocks differentiation by suppressing C/EBPα, PU1, and RUNX1 [9, 10, 11]. Other studies have reported that JAK2 and STAT3 are tyrosine phosphorylated by constitutively active FLT3 [12]. ROCK1 [13], CDKN1a [14], SURVIVIN [15, 16], RUNX1 [9, 17], CXCR4 [18, 19], SOCS1 [20], PIM1 kinase [21, 22], FLT3-ligand [23, 24], SHP-2 [25], and micro-RNA-155 [26], and other molecules are reported to be involved in FLT3/ITD signaling. Although FLT3/ITD has been associated with extremely poor patient prognoses, FLT3 inhibitors fail to show significant efficacy in anti-AML therapies. For instance, AC220 (quizartinib), a second-generation class III tyrosine kinase inhibitor (TKI) used in phase II clinical trials, is a very potent and specific inhibitor of FLT3/ITD compared with other TKIs; however, FLT3/ITD+ cells can become refractory to AC220 [9, 27]. The mechanism responsible for the resistance of FLT3/ITD+ AML cells against FLT3/ITD inhibitors can be classified into FLT3/ITD-dependent and FLT3/ITD-independent mechanisms [4, 28]. The former is generally acknowledged as the acquisition of mutations in the FLT3 gene in addition to preexisting FLT3/ITD mutations. The emergence of additional mutations in the kinase domain makes FLT3/ITD no longer sensitive to FLT3/ITD inhibitors by altering the three-dimensional structure of FLT3 kinase, making FLT3 inhibitors difficult to physically interact with FLT3 protein. This mechanism is detailed in the excellent reviews [4, 28]. Although the development of further mutations in the FLT3 gene is associated with being refractory to the FLT3 inhibitor, most patients who became refractory to the FLT 3/ITD inhibitors lacked additional mutation in the FLT3 gene. Therefore, the resistant mechanism of these cases was likely to be attributed to alteration of the activity or levels in the molecules or pathways independent of FLT3/ITD [29], which includes microenvironment-mediated resistance.
Human AML stem cells residing in the endosteal niche of the bone marrow are relatively chemoresistant [30, 31]. This resistance results from survival cues in the form of various cytokines and adhesion molecules provided by niche cells [32]. Studies using the FLT3/ITD inhibitors have demonstrated that FLT3/ITD+ AML blasts circulating in the peripheral circulation were very sensitive to these inhibitors, whereas those residing in the marrow endosteal region remained resistant to the FLT3/ITD inhibitor [33]. Reports have demonstrated that stromal cells protect FLT3/ITD AML cells from apoptosis induced by FLT3/ITD inhibitors [34, 35, 36]. These studies suggest that leukemia niches provide survival cues that protect FLT3/ITD+ AML blasts from being eradicated by the FLT3/ITD inhibitors. In agreement with these observations, early study demonstrated that releasing leukemia cells from the marrow niche into the peripheral circulation by blocking the CXCL12/CXCR4 interaction is effective in increasing their sensitivity to cytoreductive treatment [37]. These findings indicate that targeting cells via a cell-autonomous mechanism alone may not be sufficient for treating FLT3/ITD+ AML and that antagonizing these protective interactions between FLT3/ITD+ AML blasts and leukemia niches represents a novel therapeutic strategy to eradicate resistant FLT3/ITD+ AML cells.
One of the machineries that holds AML cells in the bone marrow microenvironment is the interaction between CXCL12 and CXCR4 (Figure 1). CXCL12, a chemokine known as stromal cell–derived factor-1 (SDF1) that is expressed by the bone marrow microenvironment, is responsible for retaining hematopoietic stem cells in the marrow niche through its receptor CXCR4 that is expressed on HSCs [38, 39, 40, 41]. Similar to normal hematopoietic cells, CXCR4 is expressed in most AML cells that express CXCR4 and migrate in response to CXCL12 [42]. Antagonizing CXCR4 inhibits the engraftment and development of AML in a human xenograft human AML model, suggesting that CXCR4 is required for human AML to home to the marrow niche [43]. High expression of CXCR4 is associated with the poor prognosis of patients with AML [44, 45]. An early study indicated that FLT3/ITD enhanced chemotaxis to CXCL12 that is expressed in the niche [42]. The data suggest that FLT3/ITD facilitates the interaction between AML cells and the microenvironment via the enhancement of CXCL12/CXCR4 signaling. The expression of CXCR4 is upregulated by various cytokines, including stem cell factor [46], VEGF, bFGF, EGF, IL2, IL4, IL6, IL7, IL10, and IL15 [47]. The induction of CXCR4 expression by the cytokines derived from the niche suggests that these cytokines promote the migration of AML cells to the microenvironment, thereby increasing the interaction between AML cells and the microenvironment. Indeed, stem cell factor enhances the migration of human AML cells to CXCL12 [48] and enhances their homing to the bone marrow [49]. By contrast, FLT3 ligand [50], TNFα, and INFγ downregulate CXCR4 expression [47]. Adrenergic inputs downregulate CXCL12 in the marrow environment during the daytime [51] but upregulate CXCR4 on HSCs at night [52]. Hypoxia induces the expression of CXCL12 [53] and CXCR4 [54] by inducing HIF-1α expression. Hypoxic conditions in the bone marrow niche that induces the expression of CXCL12 and CXCR4 can increase the lodging of AML cells in the bone marrow microenvironment. A recent study suggested that the mobilization of FLT3/ITD+AML cells into the peripheral circulation using the CXCR4 antagonist AMD3465 enhanced the antileukemia effect of chemotherapy and FLT3 inhibitor sorafenib, resulting in a reduced burden of AML and prolonged survival of mice [19]. A combination of AMD3100 (Plerixafor), Sorafenib, and G-CSF in FLT3-mutated patients yielded an overall response rate of 77% [55]. These data indicate that disrupting the interaction between FLT3/ITD+AML cells and the bone marrow microenvironment by antagonizing CXCR4 is beneficial to overcome the resistance of leukemia cells against the FLT3 inhibitor or chemotherapy.
FLT3/ITD+ AML cells in protective microenvironment. Suggested model for the resistance mechanism mediated by the environmental factors is shown. Retention of FLT3/ITD+ cells in the bone marrow microenvironment increases the risk of resistant phenotype of FLT3/ITD+ AML cells. This is mediated by adhesion molecules as well as the interaction between CXCL12 that is provided by the microenvironment and the CXCR4 on the AML cells. FLT3/ITD increases cell migration to CXCL12, thereby enhancing the interaction between AML cells and the microenvironment. Hypoxia and adrenergic inputs in the marrow environment that can enhance expression of CXCL12 and/or CXCR4 likely increase this interaction even further. FLT3/ITD itself activates or modulates several intracellular molecules, such as ROCK1, RUNX1, PIM1, ERK, STAT3, SURVIVN, CDKN1A, miR-155, and SOCS1, through which FLT3/ITD increases cell proliferation. In addition to FLT3/ITD, growth factors, such as FLT3 ligand, stem cell factor (SCF), and GM-CSF, can also enhance activity and/or expression of these molecules, events providing survival signaling to the cells independent of FLT3/ITD. Therefore, cells will be able to survive even if FLT3/ITD activity is abrogated by the inhibitors.
Although reports have indicated that CXCL12/CXCR4 signaling can induce apoptosis in human AML cells by regulating BCL-XL, NOXA, and BAK [56, 57], stromal cells generally protect FLT3/ITD+ AML cells from apoptosis induced by FLT3/ITD inhibitors [34, 35, 36], and CXCL12 increases the number of FLT3/ITD+ mouse hematopoietic progenitor cells cultured in the absence of hematopoietic growth factors. These data indicate that CXCL12 can provide a survival effect on the hematopoietic progenitor cells expressing FLT3/ITD [58]. Consistent with CXCL12 as a survival factor for FLT/ITD+ cells, targeting the microenvironment by the CXCR4 antagonist overcomes the resistance of FLT3/ITD+ AML cells to the FLT3/ITD inhibitors [18, 19, 34, 59, 60, 61]. Antagonizing CXCR4 by BL-8040 and FLT3/ITD inhibition demonstrates synergistic effects in inducing the apoptosis of FLT3/ITD+AML cells. The mechanism by which CXCL12 and CXCR4 provide resistance to FLT3/ITD+ AML cells includes the expression of ERK, BCL2, MCL1, and CYCLIN D1 via the downregulation of miR-15a/16-1 expression [18]. Microenvironment-mediated resistance of FLT3/ITD+ AML cells to FLT3 inhibitors through CXCL12 was partially abrogated by activating p53 in the stromal cells using an HDM2 inhibitor, suggesting that the combination of HDM2 antagonists and the FLT3 inhibitor may provide therapeutic efficacy [34]. These data demonstrate that, while antagonizing CXCR4 induces the mobilization of FLT3/ITD+AML cells into the peripheral circulation, which, in turn, sensitizes cells to FLT3 inhibitors, antagonizing CXCL12/CXCR4 signaling itself can abrogate resistance to FLT3 inhibitors [18, 19, 34, 59, 60, 61]. The data clearly indicate that the resistance of FLT3/ITD+ AML cells to FLT3/ITD inhibitors depends on the stromal cells and is at least partially mediated through CXCL12/CXCR4.
CXCL12 is not the only cytokine that confers the resistance of FLT3/ITD+AML cells to the FLT3 inhibitor. Stromal cells secrete various cytokines and growth factors, such as angiopoietins, TNF-α, G-CSF, GM-CSF, and VEGF [36]. FLT3 ligand, stem cell factor, IL-3, GM-CSF, or G-CSF existing in the marrow environment can provide a protective effect on the FLT3/ITD+ AML cells against FLT3/ITD inhibitors [23, 24]. For instance, the culture of FLT3/ITD+ 32D cells with the FLT3-inhibitor AC220 in the absence of growth factors induces the rapid decline in the viable cell number, whereas the addition of IL-3 significantly inhibits the cytotoxic effect of AC220 (Fukuda & Hirade, unpublished observation). Similarly, FLT3 ligand that is expressed in the marrow microenvironment increases the resistance of FLT3/ITD+ AML cells to the FLT3 inhibitor [23]. These cytokines subsequently enhance the expression or activity of SURVIVIN, CDKN1a, ERK, N-RAS, and PIM1, all of which are known to be involved in the resistant phenotype against FLT3/ITD antagonists. The data indicate that cytokines in the marrow environment provide resistant activity to the FLT3/ITD+AML cells against FLT3 inhibitors (Figure 1).
SURVIVIN, an antiapoptotic protein that is upregulated by FLT3/ITD, regulates the proliferation of FLT3/ITD+ hematopoietic progenitor cells [16, 62] and mediates the resistance of FLT3/ITD+ AML cells against the FLT/ITD inhibitor ABT-869 [15]. Zhou et al. reported that SURVIVIN expression was upregulated by FLT3/ITD, and its expression was even higher in the resistant FLT3/ITD+ AML cells compared with cells sensitive to ABT-869. On the other hand, antagonizing SURVIVIN recovered the sensitivity of resistant FLT3/ITD+ AML cells to ABT-869, indicating that SURVIVIN expression is one of the mechanisms responsible for the resistance to ABT-869. SURVIVIN expression was mediated by the activation of STAT protein, and antagonizing STAT3 using SRC-STAT3 inhibitor IDR E804 abrogated the expression of SURVIVIN, coincident with a significant reduction of ABT-869–resistant FLT3/ITD+AML cell proliferation in vivo. The combination of ABT-869 with IDR E804 further decreased the burden of ABT-869–resistant FLT3/ITD+AML in a xenograft model in mice compared with the administration of ABT-869 or IDR E804 alone [15], suggesting that STAT3 is also involved in the resistance to ABT-869. Consistent with this finding, recent data have demonstrated that the stroma-based activation of STAT3Y705 confers resistance to AC220 in FLT3/ITD+AML [63]. The culture of FLT3/ITD+ AML cells in direct contact with stromal cells or in the conditioned medium harvested from the stromal cells increased the IC50 of AC220 in FLT3/ITD+AML cells, with a concomitant increase in the phosphorylation of STAT3Y705 in the AML cells, compared with control medium without stromal cells. Pharmacologic inhibition of STAT3 using BP-5-087 [64] decreased the IC50 of AC220 in the FLT3/ITD+ AML cells cultured in direct contact with stromal cells or in the conditioned medium derived from stromal cells, indicating that STAT3 confers FLT3/ITD+ AML resistance to AC220 that is induced by stromal cells. This finding is consistent with SURVIVIN being a direct transcriptional target of STAT3 in FLT3/ITD+AML and lymphoma cells [15, 65], suggesting that the STAT3/ SURVIVIN axis protects FLT3/ITD+AML cells from the antileukemia effect by the FLT3 inhibitors. SURVIVIN expression is also upregulated by exogenous factors such as FLT3-ligand [15, 16], which hampers the efficacy of the FLT3 inhibitor and is involved in the resistant phenotype of FLT3/ITD+ AML cells [23]. Likewise, stem cell factor [66] and GM-CSF [67], all of which are provided by the marrow microenvironment, increase the expression of SURVIVIN (Figure 1). These data suggest that the marrow niche protects FLT3/ITD+ AML cells from FLT3/ITD antagonists through the upregulation of SURVIVIN by the hematopoietic growth factors secreted by the marrow environmental cells (Figure 1). Therefore, antagonizing SURVIVIN and/or STAT3 would overcome the resistance of FLT3/ITD+ AML to FLT3 inhibitors.
An additional mechanism responsible for the resistance to the FLT3 inhibitor by the niche is the activation of ERK/MAPK signaling pathways. FLT3 inhibitors induce apoptosis in FLT3/ITD+ AML cells, whereas direct contact and proximity to stromal cells were protective toward FLT3/ITD+ AML cells against FLT3 inhibition. Coculture of FLT3/ITD+ AML cells with bone marrow stroma cells was associated with cell cycle arrest and persistent activation of ERK, even in the presence of the FLT3 antagonist [36]. On the other hand, inhibition of MEK significantly abrogated the protective effect of stromal cells or FLT3 ligand in FLT3/ITD+ AML cells, indicating that ERK activation provided by the stromal cells is responsible for the resistance to FLT3 inhibition in FLT3/ITD+ AML cells. It was also reported that direct cell contact is more essential for the persistent activation of ERK compared with exposure to soluble factors [36]. Consistently, a recent report demonstrated that the treatment of FLT3/ITD+ AML cells with FLT3 inhibitors for over 48 hours induced rebound in ERK phosphorylation [68], suggesting an adaptive feedback mechanism capable of reactivating ERK signaling in response to upstream target inhibition in the FLT3/ITD+ AML. These data suggest that antagonizing ERK/MAPK signaling pathways can overcome the resistance of FLT3/ITD+AML to the FLT3 inhibitors (Figure 1).
The report by Yang et al. also noted the cell cycle arrest of FLT3/ITD+ AML cells cocultured by stromal cells [36], indicating that stromal cells provide factors that induce cell cycle quiescence. CDKN1a is one of the cyclin-dependent kinase inhibitors that is known to block G1/S and G2/M transition [69, 70, 71]. It is reported that cell cycle quiescence of leukemia stem cells is one of the mechanisms that leads to refractoriness to anticancer drugs that normally eliminate cells in S-phase [30]. In human AML cells, CDKN1a is upregulated by growth factors, such as stem cell factor, FLT3-ligand, and GM-CSF [14, 70, 72], all of which are present in the marrow microenvironment. Consistent with FLT3 ligand–induced upregulation of CDKN1a, FLT3/ITD also upregulates CDKN1a via Stat5 [73]. Abe et al. reported that knocking down CDKN1a significantly decreases proliferation and cell cycle progression in FLT3/ITD+ cells concomitant with an increase in Pbx1 mRNA expression [14], indicating that CDKN1a that is upregulated by FLT3/ITD negatively regulates proliferation and cell cycle progression of FLT3/ITD+ cells. Knocking down Pbx1 expression using shRNAs abrogated the enhanced proliferation that was induced by CDKN1a deletion. The data demonstrate that FLT3/ITD not only contains stimulating activity but also harbors inhibitory activity on cell proliferation, which is mediated by upregulating CDKN1a and downregulating PBX1 expression. More importantly, FLT3/ITD confers resistance to the FLT3 inhibitor by inducing the expression of CDKN1a [14]. When FLT3/ITD was antagonized with AC220, a selective inhibitor of FLT3/ITD, CDKN1a expression was decreased coincident with PBX1 mRNA upregulation and a rapid decline in the number of viable FLT3/ITD + Ba/F3 cells; however, the cells eventually became refractory to AC220. Overexpressing CDKN1a in FLT3/ITD + Ba/F3 cells delayed the emergence of cells that were refractory to AC220, whereas silencing CDKN1a accelerated their development. These data indicate that FLT3/ITD can inhibit FLT3/ITD+ cell proliferation through the CDKN1a /PBX1 axis and that antagonizing FLT3/ITD contributes to the subsequent development of cells that are refractory to the FLT3/ITD inhibitor by disrupting CDKN1a expression because of FLT3/ITD inhibition. Similarly, the upregulation of CDKN1a may represent one mechanism responsible for the FLT3 ligand–induced resistance of FLT3/ITD+ AML cells against the FLT3 inhibitor [23] because CDKN1a expression is induced by FLT3 ligand [14]. The data also suggest that CDKN1a, which is upregulated by hematopoietic growth factors, such as SCF and GM-CSF, which are secreted by stromal cells, is also responsible for the refractory phenotype of FLT3/ITD+ AML cells (Figure 1).
A recent report demonstrated that FLT3/ITD signaling is associated with a common expression signature as well as a common chromatin signature. The study identified that FLT3/ITD induces the chronic activation of MAPK-inducible transcriptional factor AP-1 and that AP-1 cooperates with RUNX1 to shape the epigenome of FLT3/ITD+ AML [74]. RUNX1 is a core-binding transcription factor that plays an important role in hematopoietic homeostasis, particularly in differentiation and proliferation [75, 76]. RUNX1-deficient cells showed increased susceptibility to AML development in collaboration with MLL-ENL, N-RAS, and EVI5 [77, 78, 79], suggesting that RUNX1 can function as a tumor suppressor in myeloid malignancies. By contrast, RUNX1 also promotes the survival of AML cells and lymphoma development and can function as an oncogene [80, 81]. These data suggest that the RUNX1 has a dual function that promotes and attenuates the proliferation of hematological malignant cells. Hirade et al. identified that RUNX1expression is upregulated by FLT3/ITD and functions as an oncogene in FLT3/ITD+ cells [9]. Another group demonstrated that RUNX1 cooperates with FLT3/ITD to induce acute leukemia, validating RUNX1 as an oncogene in FLT3/ITD signaling [17]. With respect to the function of RUNX1 in the resistance to the FLT3 inhibitor AC220, antagonizing RUNX1 significantly accentuated the antiproliferative effect of AC220 in FLT3/ITD+ 32D cells. RUNX1 expression was elevated in the FLT3/ITD+ 32D cells, which became refractory to AC220, whereas knocking down RUNX1 significantly inhibited the emergence and proliferation of FLT3/ITD+ cells refractory to AC220, demonstrating that RUNX1 mediates the development of FLT3/ITD+ AML cells resistant to AC220 in FLT3/ITD+ cells. RUNX1 upregulation by AC220-resistant cells was not due to the additional mutation in the FLT3 gene because the upregulation of RUNX1 by AC220 was no longer observed when resistant cells were incubated without AC220. The data indicate that the epigenetic mechanism is likely involved in the upregulation of RUNX1 by AC220 refractory cells [9]. Because RUNX1 cooperated with MAPK-inducible transcription factor AP1 [74] and MAPK is regulated by various growth factors existing in the marrow microenvironment, it is highly likely that RUNX1 function is indirectly modulated by the microenvironmental factors. On the other hand, RUNX1 directly binds to the CXCR4 promoter region, and RUNX1 transactivates CXCR4 in a DNA binding–dependent manner, indicating that RUNX1 transcriptionally upregulates CXCR4 expression [78]. These findings strongly suggest that the upregulation of RUNX1 by FLT3/ITD increases the expression of CXCR4, which, in turn, enhances the chemotaxis of FLT3/ITD+ AML cells to stromal niche cells, thereby increasing the likelihood of the cells being protected from the insult by the FLT3 inhibitor in the niche. On the other hand, RUNX1 downregulates the expression of cell adhesion factors that promote the residency of stem cells and megakaryocytes in their bone marrow niche [82], suggesting that RUNX1 expression that is induced by FLT3/ITD likely alters the interaction between the FLT3/ITD+ AML cells and niche cells and is involved in the resistance to the FLT3 inhibitor (Figure 1).
While it has been unclear how leukemia cells escape from normal cytokine control that is indispensable to maintain normal hematopoiesis, a recent study demonstrated that FLT3/ITD facilitates the development of myeloproliferative disease by inhibiting the interferon response [20, 26]. Interferon exhibits an anti-proliferative effect on primitive hematopoietic cells [83, 84, 85, 86], including FLT3/ITD+ cells [20]. In FLT3/ITD+ cells, activated STAT5 up-regulates SOCS1 expression, which inhibits the antiproliferative effect induced by interferon-α or interferon-γ [20]. SOCS1 protects FLT3/ITD+AML cells from external interferon control, thereby promoting myeloproliferative disease. Another report also uncovered a novel mechanism responsible for the escape of FLT3/ITD+ AML cells from interferon signaling. Micro-RNA 155 (miR-155) is significantly overexpressed in FLT3/ITD AML [87, 88, 89, 90, 91, 92] and promotes myeloproliferative disease induced by FLT3/ITD. This was coincided with repression of the interferon response compared with that with wild-type FLT3. Inhibition of miR-155 resulted in the elevation of the interferon response and reduction in the proliferation of human FLT3/ITD+ AML cells. The data indicate that miR-155 promotes FLT3/ITD+ AML cell proliferation by blocking interferon signaling [26]. Taken together, FLT3/ITD stimulates AML cell proliferation by evading external antiproliferative cytokine control that is normally provided by the microenvironment (Figure 1). It remains to be determined if these mechanisms are involved in the resistance against FLT3 inhibitors.
FLT3/ITD+ AML is also found in patients with acute promyelocytic leukemia who harbor the PML-RARα fusion gene resulting from chromosomal translocation. Recent data have demonstrated that the combination of the FLT3/ITD inhibitor and ATRA, which targets PML-RARα, displays a synergistic effect of reducing the burden of FLT3/ITD+ AML both in vitro and in a xenotransplantation model [93, 94, 95]. This is a promising strategy to facilitate the differentiation of FLT3/ITD + AML in the patients; however, recent data have also indicated the inactivation of retinoids in the marrow niche, thereby inhibiting the differentiation of AML cells [96, 97, 98]. In this regard, the effect of ATRA with the FLT3/ITD inhibitor may be more complicated than anticipated because the marrow niche may impede the long-term effect of ATRA.
The interaction between AML cells and the microenvironment is mediated by various factors, such as CXCL12, and adhesion molecules. CXCL12 can activate adhesion molecules, particularly very late antigen-4 (VLA-4) and lymphocyte function–associated antigen-1 (LFA-1) on hematopoietic stem and progenitor cells, which also regulate the homing process [99]. FLT3/ITD decreases the expression of VLA4 expression, coincident with a significant reduction in cell adhesion to VCAM1 [58]. While the data indicate that FLT3/ITD negatively regulates the expression of VLA4 and adhesion to its ligand VCAM1, the inhibition of FLT3/ITD by Fl-700 decreases the affinity of VLA4 to soluble VCAM1 [100], indicating that FLT3/ITD modulates the interaction between VLA4 and VCAM1. The interaction of leukemia cells with the microenvironment is also mediated via E-selection [101]. A recent report has demonstrated that a dual inhibitor for E-selectin and CXCR4 (GMI-1359) exerts efficient antileukemia effects in an FLT3/ITD+ AML xenograft model by mobilizing AML cells into the peripheral circulation from the bone marrow [102, 103]. The data suggest that antagonizing adhesion molecules that retain FLT3/ITD+ AML cells in the bone marrow microenvironment is beneficial to abate the resistance of AML cells to the FLT3 inhibitor by mobilizing AML cells into the blood circulation.
Taken together, these data provide evidence that stromal cells, or other cells comprising the microenvironment, support FLT3/ITD+AML cells via soluble factors and adhesion molecules, which, in turn, activate survival or proliferative signaling in the AML cells (Figure 1). However, the machinery provided by the microenvironment is not confined to these factors described above. A recent report has indicated that bone marrow mesenchymal stromal cells transfer their mitochondria to AML cells to support their proliferation [104, 105], possibly representing an additional mechanism that can enhance the resistance to the FLT3 inhibitor in FLT3/ITD+ AML. Likewise, it is highly possible that microsomes containing micro-RNAs secreted from the microenvironment modulate the function of FLT3/ITD+ AML cells, although this hypothesis remains yet to be proven.
Because CXCL12/CXCR4 provides a survival signal to FLT3/ITD+ AML cells, it suggests that CXCL12/CXCR4 signaling accentuates FLT3/ITD signaling activity. By contrast, FLT3/ITD regulates cell migration to CXCL12 [50], indicating that FLT3/ITD modulates CXCR4 signaling. Therefore, FLT3/ITD and CXCL12/CXCR4 signaling mutually interacts. While an earlier study demonstrated that patients with FLT3/ITD+ AML have higher CXCR4 expression than those with FLT3 wild-type AML [45], subsequent studies have demonstrated controversial findings. We and other groups have demonstrated that overexpressing FLT3/ITD in mouse Ba/F3 cells or human CD34+ cells significantly downregulated CXCR4 expression [50, 59]. Incubating human CD34+ cells with FLT3 ligand also decreased the expression of CXCR4 [50]. Moreover, the mRNA expression of CXCR4 was significantly lower in patients with FLT3/ITD+ AML than in those with wild-type FLT3 [9, 106]. These data indicate that FLT3/ITD can reduce the expression of CXCR4 in contrast to the data of the earlier report. The mechanism responsible for the modulation of CXCR4 expression by FLT3/ITD remains subject to investigation. PIM1, which is activated by FLT3/ITD, upregulates CXCR4 [107]. Similarly, RUNX1, which is elevated in FLT3/ITD+ AML, upregulates CXCR4 transcription [78]. On the other hand, CEBPα, a transcriptional factor that increases CXCR4 expression [108], is inactivated by FLT3/ITD [11, 109]. Therefore, the inactivation of CEBPα by FLT3/ITD can decrease CXCR4 expression. Because FLT3/ITD inhibits CEBPα but enhances PIM1 and/or RUNX1 expression, the balance between the inactivation of CEBPα and activation of PIM1 and/or RUNX1 may determine the expression of CXCR4 in FLT3/ITD+ AML.
Although the FLT3 ligand, as well as FLT3/ITD, increases the migration of mouse hematopoietic cells to CXCL12 [19, 50, 106], FLT3 signaling can decrease the migration of CD34+ cells and mouse Ba/F3 cells toward CXCL12 [50, 59]. Enhancing migration and decreasing migration in response to CXCL12 by FLT3/ITD appear to be controversial, but the reduction of migration toward CXCL12 is most likely a consequence of a decrease in CXCR4 expression, which, in turn, induces the quantitative reduction of CXCR4 signaling. Jacobi et al. reported that the transient expression of FLT3/ITD decreases CXCR4 expression in human CD34+ cells, coincident with their reduced migration toward CXCL12 [59]. This is consistent with the reduction in CXCR4 expression in CD34+ cells or Ba/F3 cells incubated with FLT3 ligand that is accompanied by a decrease in CXCL12-mediated migration [50]. These data indicate that FLT3/ITD, as well as normal FLT3 signaling, can inhibit CXCL12/CXCR4 signaling by downregulating CXCR4 expression. By contrast, the sustained expression of FLT3/ITD enhances migration in response to CXCL12, even with a significant downregulation of the CXCR4 level [50]. Augmentation in cell migration toward CXCL12 despite the reduction in CXCR4 expression suggests that the increase in migration was not due to the qualitative increase in CXCR4 signaling. A subsequent study by Onishi et al. confirmed that enhanced migration by FLT3/ITD was mediated through the qualitative change in CXCR4 signaling [106]. The data indicated that molecules and/or pathways downstream of CXCR4 that are regulated in the presence of FLT3/ITD were overlapped but distinct from those regulated in the absence of FLT3/ITD, suggesting that FLT3/ITD regulates CXCR4 signaling pathways functionally distinct from those of normal cells [106]. This implies that FLT3/ITD functionally alters CXCR4 signaling. These findings strongly suggest that FLT3/ITD can negatively regulate CXCR4 signaling by qualitatively decreasing CXCR4 signaling by downregulating CXCR4 expression, whereas it also increases CXCR4 signaling activity by changing the global gene expression downstream of CXCR4 (Figure 2). One of the molecules responsible for the activation of CXCR4 signaling by FLT3/ITD is Rho-associated kinase-1 (ROCK1). ROCK1 promotes the migration of CXCR4+ cells to CXCL12, whereas antagonizing ROCK1 displays the opposite effect. CXCL12 transiently upregulates ROCK1 expression but subsequently downregulates its expression in the absence of FLT3/ITD. This downregulation is associated with the attenuation in cell migration to CXCL12, suggesting the presence of negative feedback in CXCL12/CXCR4 signaling mediated by modulating ROCK1 expression to prevent excessive migration in normal cells. By contrast, FLT3/ITD or FLT3 ligand enhances the expression and prevents the subsequent downregulation of the ROCK1 level that is normally induced by CXCL12, thereby abrogating the negative feedback generated by CXCL12 and ROCK1. The loss of negative feedback on ROCK1 expression induced by FLT3 signaling resulted in the sustained activation of CXCL12/CXCR4 signaling, thereby enhancing the migration of FLT3/ITD+ cells toward CXCL12. Enhanced chemotaxis is also mediated through RAS [58].
Quantitative and/or qualitative regulation of CXCR4 signaling by FLT3/ITD. CXCL12/CXCR4 signaling augments FLT3/ITD activity, but in contrast, FLT3/ITD modulates CXCL12/CXCR4 signaling, indicating that CXCL12/CXCR4 and FLT3/ITD signaling mutually interacts. Regulation of CXCR4 signaling by FLT3/ITD is classified into two categories: one is quantitative regulation and the other is qualitative mechanism. FLT3/ITD regulates expression of CXCR4, depending on the transcriptional mediators or kinases. For instance, inactivation of CEBPα by FLT3/ITD can decrease CXCR4 expression, whereas activation of PIM1 and/or RUNX1 can increase CXCR4 expression. Downregulation of CXCR4 diminishes cell migration to CXCL12, whereas upregulation of CXCR4 expression leads to enhancement in cell migration to CXCL12. On the other hand, FLT3/ITD modulates global gene expression downstream of CXCR4, which leads to the enhancement of cell migration to CXCL12. Classification of genes that are regulated by CXCL12 in FLT3/ITD− cells and those in FLT3/ITD+ cells based on the molecular pathways or biological process demonstrated that they are functionally overlapped but distinct. The data suggest that FLT3/ITD functionally alters CXCL12/CXCR4 signaling. For instance, downregulation of ROCK1 expression by CXCL12 that is normally observed in control cells is abrogated by FLT3/ITD, which is responsible for the enhancement in cell migration to CXCL12 by FLT3/ITD.
An additional molecular machinery that specifically mediates the migration of FLT3/ITD+ cells is PIM1 kinase. The expression and kinase activity of PIM1 are upregulated in FLT3/ITD+ AML cells [110]. Enhanced PIM1 activity induced by FLT3/ITD is essential for the migration and homing of AML cells [107]. The effect of PIM1 on the migration and homing of FLT3/ITD cells is mediated by the increase in CXCR4 owing to its recycling by the phosphorylation of serine 339 on CXCR4. These data indicate that PIM1 activity is essential for the proper CXCR4 surface expression and migration of FLT3/ITD+ AML cells toward CXCL12. In addition to regulating migration and homing, PIM1 modulates the resistance of FLT3/ITD+ AML cells to FLT3 inhibitors [21, 22]. Targeting PIM1 synergizes with FLT3 inhibition [111] and restores the sensitivity of FLT3 inhibitors in FLT3/ITD+ AML cells [21]. A recent study in abstract form indicated that the microenvironment-induced expression of PIM kinase supports chronic leukemia (CLL) survival and promotes CXCR4-dependent migration [112]. Although this was investigated in CLL, the data suggest that microenvironmental factors increase the expression of PIM1 kinase, which promotes the resistance of FLT3/ITD+ AML. The upregulated PIM1 kinase, in turn, would facilitate the migration of FLT3/ITD+ AML toward CXCL12 by activating CXCR4 signaling, thereby increasing the interaction between FLT3/ITD+ AML cells and microenvironment cells. In this regard, antagonizing PIM1 represents an additional therapeutic strategy to abrogate the interaction between FLT3/ITD+ AML cells and marrow niches, particularly for those that have become resistant to FLT3/ITD inhibitors. Similarly, ROCK1 enhances not only CXCL12-induced migration [106] but also the proliferation of FLT3/ITD+ cells [13]. Therefore, antagonizing ROCK1 is likely to be beneficial to interfere with the communication of FLT3/ITD+ AML cells between the marrow niches and inhibit their proliferation. These data suggest that FLT3/ITD increases the communication with the bone marrow microenvironment by enhancing the chemotaxis toward CXCL12. Together with CXCL12 protecting FLT3/ITD+ AML cells from the insult of FLT3 inhibitors, the findings strongly indicate that reciprocal interaction between FLT3/ITD and CXCL12/CXCR4 signaling exists that accentuates the resistance to FLT3 inhibitors.
Normal hematopoietic stem cells drive hematopoiesis, but this process requires appropriate factors secreted by adjacent cells, adhesion molecules, neighboring cells such as mesenchymal stromal cells, osteolineage cells, and endothelial cells that exist in the microenvironment [113]. In agreement with the microenvironment mediating the tight control necessary for normal hematopoiesis, earlier studies have demonstrated that malfunction of microenvironmental cells can lead to the development of myeloproliferation, which represents one of the outcomes of aberrant hematopoiesis. Walkley et al. demonstrated that the loss of retinoic acid receptor gamma (PARγ) resulted in myeloproliferation in mice; however, the transplantation of the marrow cells into PARγ-deficient cells did not cause myeloproliferation in wild-type recipients, whereas the transplantation of wild-type marrow cells caused myeloproliferation in PARγ-deficient recipients, indicating that myeloproliferation caused by the loss of PARγ was microenvironmental [114]. The microenvironmental effect on aberrant myeloproliferation is also supported by experiments using Rb-deficient cells. Knocking out Rb resulted in myeloproliferation in mice; however, the genetic defect in both hematopoietic cells and the microenvironment was necessary for the development of myeloproliferation [115]. Furthermore, deletion of DICER1 in primitive osteolineage cells led to myelodysplastic syndrome and AML [116], indicating that malfunction of DICER1 in the niche component was sufficient to cause myeloid malignancy. These findings indicate that the genetic alteration and/or malfunction of the microenvironment can induce myeloid malignancies.
Reports have demonstrated that HSCs regulate their own niches by instructing neighboring stromal cells to produce supportive factors or alter the overall microenvironment [117, 118, 119]. While the marrow niche supports leukemia cell proliferation or protects cells from chemotherapeutic insult by providing various survival signals, recent evidence has demonstrated that leukemia cells modulate the marrow environment to create a supportive niche favoring survival for AML cells, just as healthy HSCs regulate their niche. Zhang et al. demonstrated that chronic myeloid leukemia (CML) cells modulate the microenvironment in favor of CML cells over healthy HCS by modulating CXCL12 expression and alter the localization of HSCs. CML cells modulate cytokine expression in the microenvironment, such that they support CML cells [120]. A study by Schepers et al. identified that myeloproliferative neoplasia (MPN) remodels endosteal bone marrow niches by stimulating mesenchymal stem cells to produce functionally altered osteoblastic lineage cells. This results in the creation of a self-reinforcing leukemic niche that impairs normal hematopoiesis and favors leukemic stem cell function [121]. Several cytokines, such as thrombopoietin and CCL3, that direct cell-cell interaction, alteration of TGF-β, and Notch and inflammatory signaling were involved in the expansion and/or remodeling in osteoblastic lineage cells. The osteoblastic lineage cells remodeled by myeloproliferation compromised normal HSCs but effectively support leukemia stem cells [121]. Similarly, the latest study by Mead et al. demonstrated that FLT3/ITD modulates the marrow microenvironment and impaired the number of HSCs. In the marrow of FLT3ITD/ITD mice, FLT3/ITD-induced myeloproliferation was associated with a progressive decline in the HSC compartment. Notably, when FLT3ITD/ITD marrow cells were transplanted with marrow competitor cells from wild-type mice into healthy recipients, the HSCs derived from the competitor cells were significantly reduced, demonstrating the presence of a cell extrinsic mechanism that diminishes the competitor HSC. Loss of competitor cells in the recipient mice that developed FLT3/ITD-induced myeloproliferation was coincided with the disruption of stromal cells in the recipient marrow, an activity that was associated with reduced numbers of endothelial and mesenchymal stromal cells showing increased inflammation-associated gene expression. The study finally discovered that tumor necrosis factor (TNF), a cell-extrinsic negative regulator of HSCs, was overexpressed in the marrow niche cells in FLT3ITD/ITD mice, and anti-TNF treatment partially rescued the loss of HSCs. These data clearly demonstrate that FLT3/ITD compromises HSCs through an extrinsically mediated mechanism of disrupting HSCs that support bone marrow stromal cells by generating an inflammatory environment [122]. The same study also demonstrated that the expression of FLT3 mRNA and protein is absent in HSCs, strongly suggesting that FLT3/ITD protein is not expressed in most primitive HSCs, even if FLT3/ITD mutation exists in the FLT3 gene in HSCs. Because these HSCs harboring the FLT3/ITD gene but lacking the expression of FLT3/ITD protein would not be targeted by the FLT3 inhibitors, they may represent a reservoir for the development of resistant clones, in which additional mutations can be accumulated. The lack of mutant FLT3/ITD protein in HSCs harboring FLT3/ITD mutation on the FLT3 gene implies that current strategies targeting FLT3/ITD protein or activity would be ineffective. In this regard, disrupting the FLT3 gene, for instance, by using a gene-editing strategy, would represent an additional approach to eliminate HSCs containing FLT3/ITD mutation. Moreover, because FLT3/ITD+ AML restructures the marrow environment in favor of AML cells over normal HSCs, factors provided by FLT3/ITD+ AML cells that influence the marrow environment would represent a novel therapeutic target.
FLT3/ITD+ AML can become refractory to FLT3 inhibitors. Factors derived from the marrow microenvironment represent one such mechanism responsible for the refractory phenotype to FLT3/ITD inhibitors. Understanding the molecular mechanism involved in microenvironment-mediated resistance will shed light on the development of innovative therapeutic strategies against FLT3/ITD+ AML, especially for FLT3/ITD+ AML that has become refractory to FLT3 inhibitors.
The authors declare that no potential conflicts of interest associated with this study exist. This work was supported by research support funds from the Grant-in-Aid for Scientific Research (17K10111 to S.F.) and a Grant-in-Aid for Young Investigators (15K19616 to T.H.) from the Japanese Society for the Promotion of Science.
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