Applications of induced mutagenesis for improved features in plant breeding [6, 17].
\r\n\tFood insecurity results in fear of hunger and starvation that ultimately affects one’s ability to work for sustainability and economic growth of the country. In addition to this, food insecurity results in various chronic diseases due to reduce immunity that ultimately, a burned on the county economy. Therefore, this book will intend to discuss in detail about the food insecurity challenges and their effect on the quality of life. This book will also aim to provide an overview about the new trends and future prospective that help to resolve the food security issues.
",isbn:"978-1-80356-942-0",printIsbn:"978-1-80356-941-3",pdfIsbn:"978-1-80356-943-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"090302a30e461cee643ec49675c811ec",bookSignature:"Dr. Muhammad Haseeb Ahmad, Dr. Muhammad Imran and Dr. Muhammad Kamran Khan",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11475.jpg",keywords:"Nutrition, Poverty, Hunger, Food Waste Utilization, Innovative Technologies, Food Processing, Genetically Modified Food, Policy Making, Trade Reforms, Climate Change, Agriculture Productivity, Disease Resistant Crops",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 7th 2022",dateEndSecondStepPublish:"May 5th 2022",dateEndThirdStepPublish:"July 4th 2022",dateEndFourthStepPublish:"September 22nd 2022",dateEndFifthStepPublish:"November 21st 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"An emerging scientist in the field of food science and technology with special expertise in development of rapid and nondestructive technologies, chemometrics and data mining.",coeditorOneBiosketch:"Muhammad Imran has expertise in extrusion technology, microencapsulation, lipids chemistry, sensory evaluation and food process engineering.",coeditorTwoBiosketch:"A renowned scientist with expertise in Novel food processing technologies.",coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"292145",title:"Dr.",name:"Muhammad",middleName:null,surname:"Haseeb Ahmad",slug:"muhammad-haseeb-ahmad",fullName:"Muhammad Haseeb Ahmad",profilePictureURL:"https://mts.intechopen.com/storage/users/292145/images/system/292145.png",biography:"Dr. Muhammad Haseeb Ahmad is currently an assistant professor in the Department of Food Science, Government College University Faisalabad, Pakistan. He also served as an assistant professor for one year at the National Institute of Food Science and Technology, University of Agriculture Faisalabad, Pakistan. He received his doctoral degree from Hohenheim University, Stuttgart, Germany, in 2016. During his stay there, he also worked as a research associate for research projects relevant to various food disciplines. Dr. Ahmad is the author of about thirty five research publications and twelve book chapters. He has also presented his research work at various national and international conferences (25). 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He won the Indigenous and IRSIP (Department of Food Science and Human Nutrition, Michigan State University, East Lansing, USA) Fellowships for completion of doctorate research funded by HEC, Islamabad, Pakistan. Dr. Muhammad Imran has expertise in extrusion technology, microencapsulation, lipids chemistry, sensory evaluation, and food process engineering. Until today, Dr. Muhammad Imran has authored 80 publications (International & National) in various Impact Journals of Scientific repute and written 15 Book Chapters as principal author and co-author. 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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:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"53504",title:"Applications of Ionizing Radiation in Mutation Breeding",doi:"10.5772/66925",slug:"applications-of-ionizing-radiation-in-mutation-breeding",body:'\nThe worldwide population is expected to be nine billion at 2050. Conventional agricultural crops are inadequate to meet the current need to provide sustainable yield production. Therefore, crop improvement is getting an important need when we are not able to meet the demands of growing world population. For this reason, humans have begun to develop new plant varieties for cultivation, and it is called as plant breeding. Numerous food, feed, and ornamental and industrial crops were improved via hybridization methods to meet the needs of human beings since many years. Over the last 15 years, development of new techniques became useful in breeding strategies to facilitate the improvement of new crop varieties.
\nPlant breeding methods and recent progress in biotechnology contribute greatly to friendly agriculture. The main point is to establish productive breeding strategies to improve crops.
\nVariation is the main point of the breeding that the plant breeders are focused. Genetic variation is a natural phenomenon. This variation is a natural result of genotypes, which have interactions with the environmental facts, get together. The recombination and independent assortment of the alleles are responsible to obtain new individuals from the population. Domestication of the crops is affected by several conditions such as ecological and agricultural. Selection of the adaptive genotypes is getting important in breeding of the cultivars. The main point is to achieve the production of higher-yielding crops [1], useful traits such as size of the fruits, and quality of the crops. The aim of the breeding is to combine various features of many plants in one plant. This method is general for breeding of the plants via sexual reproduction. During recombination of the alleles, offsprings carrying selectable variations for the several traits exist. Recombination is not responsible to produce new traits itself. Although genetic changes have provided the natural variation for species evolution, changes in species have not only been important for adaptation to natural environment. Mutations are the main reasons of genetic variabilities and cause new species eventually. Therefore, they have also been exploited by man in the agricultural processes of species domestication and crop improvement. As a new approach, manipulation of the cultivars through alternative techniques such as mutation breeding and Biotechnology are useful for especially some fully sterile plants [2].
\nMutations have been shown as a way of procreating variations in a variety. They spontaneously occur in nature. Several mistakes can cause mutations during replication process. On the other hand, radiation is an efficient mutagen that the plants are exposed. The important point is the origin of the mutated cell. Somatic cell mutations are not easily traceable and cannot pass to the future generations; otherwise, embryonic cell mutations directly pass to the next springs. Spontaneous mutations occur without any human intervention and happen randomly with a low frequency. However, some mutagenic agents are known to induce mutations as an alternative to low incidences of spontaneous mutations to increase genetic variability by increasing the frequency of mutations. Using of mutagens propose the possibility of inducing desired characters that cannot be found in nature, in a variety or lost during the evolution [2].
\nA mutation is defined as any change within the genome of an organism, and it is not brought on by normal recombination and segregation [3]. The direct use of mutation is a very valuable supplementary approach to plant breeding. The main advantage of this technique is the shorter time required to breed a crop with improved character(s) than the hybridization process to obtain the same results.
\nInduced mutations consequently have a high potential for bringing about further genetic improvements. Induced mutations have played a significant role in meeting challenges related to world food and nutritional security by way of mutant germplasm enhancement and their utilization for the development of new mutant varieties. A wide range of genetic variability has been induced by mutagenic treatments for use in plant breeding and crop improvement programs [1]. Physical mutagens are generally preferred by reason of being convenient, easily reproducibility, and user-/environment-friendly method. Ionizing radiation is used as a physical mutagen in breeding applications.
\nIonizing radiation (IR) is categorized by the nature of the particles or electromagnetic waves that create the ionizing effect. These have different ionization mechanisms and may be grouped as directly or indirectly ionizing. The physical properties of ionizing radiation types, namely gamma rays X-rays, UV light, alpha-particles, beta-particles, and neutrons, are different; therefore, their potential usage and bioapplicability to the breeding programs are different.
\nIn the beginning of the twentieth century, ionizing radiation has been begun to induce the mutations. They can be particulate or electromagnetic (EM). Their specific feature is the localized release of large amounts of energy. These have different ionization mechanisms, and they can group as directly or indirectly ionizing. The physical and chemical reactions initiate the biological effects of ionizing radiations [4].
\nMostly, X-rays had been used, and later gamma rays and neutrons have been preferred. Two forms of electromagnetic radiation, X-rays or gamma (γ) rays, are widely used in biological systems and most clinical applications. Cobalt-60 and cesium-137 (Cs-137) are the main sources of gamma rays used in biological studies. Cesium-137 is more preferred since its half-life is much longer than cobalt-60. Gamma rays are produced spontaneously, whereas X-rays are produced in an X-ray tube (accelerated electrons hit a tungsten target, and then they are decelerated. The Bremsstrahlung radiation is part of the kinetic energy, belongs to the electrons, and is converted to X-rays). Energy transfer is caused by the interaction, it cannot completely displace an electron, and it produces an excited molecule/atom; whenever the energy of a particle or photon exceeds the ionization grade of a molecule, ionization occurs. Ten electronvolt binding energy for the electrons is determined for biological materials, and higher energetic photons are considered as ionizing radiation, whereas the energies between 2 and 10 eV, which cause excitation, are called as nonionizing. Electrons, protons, α-particles, neutrons, and heavy charged ions are clinically used natural radiation types [4–6].
\nIonizing radiation (IR) is known to effect on plants. Their effects are classified as direct and indirect. Stimulatory, intermediate, and detrimental effects on plant growth and development are based on dose of ionizing radiation applied to the plant tissues. The main point is to evaluate the impacts of ionizing radiation at genetic level. The severity of the impacts of radiation is in relation with the species, cultivars, plant age, physiology, and morphology of the plants besides their genetic organizations.
\nIonizing radiation causes structural and functional changes in DNA molecule, which have roles in cellular and systemic levels. The nature of DNA modifications includes base alterations, base substitutions, base deletions, and chromosomal aberrations. These modifications are the reasons of macroscopic phenotyping variations [5, 6].
\nInteraction between atoms or molecules and ionizing radiations causes free radical production that damages the cells. Free radical is defined as an atom or group of atoms including an unpaired electron. Water in the cell accumulates energy initially and facilitates the production of reactive radicals, which oxidize and reduce. They have a role in direct and indirect actions of ionizing radiations. In direct action, a secondary electron reacts directly with the target to produce an effect, while in indirect action, free radicals produced via radiolysis of water interact with the target to comprise target radicals [6, 7].
\nThere are substantial data indicating that the lethal effects of radioactive compounds accumulate in nucleus rather than other parts. Therefore, DNA is the main target as a result of ionizing radiation, and it targets DNA directly or indirectly and leads various alterations. Direct ionization of DNA, reactions with electrons or solvated electrons, reactions with OH or H2O+, and reactions with other radicals can damage cellular DNA. There are some possibilities of DNA damages caused by ionizing radiation. IR and secondarily produced reactive oxygen species can cause changes in deoxyribose ring and structures of bases, DNA-DNA cross-links, and DNA-protein cross-links. Hydroxyl radicals react with bases. The reactive intermediates are produced as a result of this interaction [7, 8].
\nHydroxyl radicals separate hydrogen atoms from the sugar-phosphate backbone of DNA to form 2-deoxyribose radical, which cause strong damages via attacking to oxygen or thiol groups [8]. Researchers have shown that purine and pyrimidine rings, single-strand breaks (SSBs), and base loss regions are damaged by DNA radiolysis products induced by free radicals. The amount of the yield of the individual products is important and reported to be different than produced during oxidative metabolism. Although free radicals attack on DNA and cause several DNA damages, they have not been thought to lead lethal and mutagenic results. Ionizing radiation-induced base damages are widely studied by in vitro studies. It is also reported by several studies that direct and indirect radiation effects may produce identical reactive intermediates. Oxygen is another key molecule that determines the biological effectiveness of the ionizing radiation. Oxygen can easily react with many free radicals. The amount of the radicals presents in deoxyribose or bases; harmful DNA damages occur [9–11].
\nIf the damage site is deoxyribose, a strand brake directly forms. DNA base damages like ring saturation destabilize the N-glycosidic bonds, and abasic deoxyribose residues form. These regions can be converted into strand breaks. Double-strand breaks (DSBs) happen as a result of a localized attack by two or more OH radicals on DNA. Another potential reason can be defined as a hybrid attack that OH damages one of the strands, whereas the other strand exposes to a direct damage within 10 base pairs of the hydroxyl radical [12]. IR leads chromosomal aberrations during cell division. Chromosome malsegregation and defects in chromatid separation, bridge formation, chromosome exchange, chromosome breakage, and loss of chromosome fragments can be observed after IR treatment [13].
\nWe can classify IR as an abiotic stress factor; therefore, the plants represent different levels of adaptive responses. DNA repair mechanisms and adaptive responses against radiation could protect the plant genome from excessive modifications. Natural ionizing radiation is supposed to play a significant role in the evolution of the plants. Homolog recombinations between the chromosomes would result in formation of new altered generations that show specific adaptive capabilities [13].
\nIn nature, mutations acquired new survival traits to the crops against environmental stresses both biotic and abiotic. Many of these survival traits could be weakened or totally lost in time. Mutations are sudden changes at the genotype level and cause small and exquisite changes in phenotype, which cannot be detected by advanced molecular techniques. Identification of naturally mutated gene is inconvenient. When the breeders pinpoint the mutated gene, wild-type features have to be reestablished. This task is becoming increasingly infeasible due to long time, more human source, and increase in cost. That’s why new breeding strategies were needed to be improved to fortify the crops. To achieve this mission, plant breeders should rebuild in crop plants several specific traits, which have role in survival of the plants under extreme conditions providing the other crop-specific traits such as quality, yield, etc. Phenotyping-based processes of conventional breeding strategies should have moved from base to a high level of genotype-based breeding methods [1, 14]. New technologies should be legal, economic, and ethical for the breeders and the consumers.
\nUnder such circumstances, inducing mutations are potential applications to produce crops with desired traits and easily selected from the germplasm pool. As described above, radiation can cause several effects on genetic material due to the exposure dose. These effects can be classified in both positive and negative approaches. Beside the detrimental effects of radiation, plant breeders are focused on the effective usage of gamma radiation in breeding programs. Changes in agronomic characters can be transmitted to the next generations. Nuclear techniques are begun to be used in plant breeding mostly for inducing mutations. During the past 60 years, we observed a significant increase in the major crops. Ionizing radiations such as X-rays and gamma rays have been used for improvement of several crops such as wheat, rice, barley, cotton, tobacco, beans, etc. [15]. Plant breeders are also combined with this resource with different techniques to increase the efficiency and shorten the time. Induced mutagenesis and combined breeding strategies are effective to improve quantitative and qualitative traits in crops in a much shorter time than the conventional breeding procedure [6].
\nGamma radiation is widely used to induce mutations in breeding studies than chemical mutagens. Ionizing radiation could cause several DNA damages randomly; therefore, several mutations (from point mutation to chromosome aberrations) could be induced. Over 3000 mutant varieties of major crops have been reported to be developed by ionizing radiation [2, 16].
\nMutation rate/mutation frequency is defined as the ratio of mutation per locus and also termed as the number of mutant plant per M2 generation [16]. It changes due to per dose and mutagen. The main point is to determine the best dose for inducing mutants rather than its type. From past to present, it is concluded that the doses between LD50 and LD30 (doses lead to 50% and 30% lethality) are generally useful in mutation breeding programs. The importance of convenient dose that depends on the radiation intensity and exposure time is gestured by the researchers [6].
\nThe final target is to select the desired mutants in the second and third generations (M2 and M3). It is effective to select the mutants treated by the mutagens with a high mutation frequency from the M1 population. M1 population consists of heterozygous plants. That means during the treatment one allele is affected by the mutation, and it is impossible to discriminate the recessive mutation in this generation. Therefore, the breeders should sift out the next generations to identify the homozygotes for both dominant and recessive alleles [6]. M2 population is the first generation that the selection begins. Physical, mechanical, phenotypic, and other methods are used for the selection of the mutants. When the plant breeder finds a mutant line, the next step is the multiplication of the seeds for further field and other studies. The main theme is to develop a mutant, which has a potential to be commercial variety surpassing the mother cultivar or a new genetic stock having improved properties.
\nAccording the 2015 data of Food and Agriculture Organization/International Atomic Energy Agency (FAO/IAEA), over 232 different crops including wheat, rice, sunflower, soybean, tomato, and tobacco were subjected to mutation breeding programs and over 3000 mutant varieties with improved properties in over 70 countries [6]. The mutant plant production distribution worldwide is given in Figure 1.
\nThe number and the rate of the mutant cultivar production rate worldwide [
Sixty-one percent of these varieties was improved by using gamma radiation. Figure 2 represents the maximum plant species improved via mutation breeding.
\nThe maximum plant species improved via mutation breeding [
Mutation breeding studies are widely preferred to improve cultivars tolerant or resistant to various abiotic stresses and biotic stresses such as bacteria, viruses, and pathogens and to improve the quality and the agricultural traits of the crops such as oil, protein, and yield [6]. The most improved features in some plant species by gamma radiation were given in Table 1.
\nInstead of waiting for natural mutations to generate a desired trait, creating a mutation with different tools may promote to the breeding studies. The simplicity and low cost of mutation treatments and gamma radiation became an effective tool to improve new agronomic traits in various crops. It may be evaluated as an alternative to genetically modified plants. The released mutation breeding-derived varieties showed the potential usage of mutation breeding as a flexible and available accession to any crop supplied for desired purposes, and discriminating techniques are successfully combined.
\nAs mentioned above, mutation breeding studies are provided to numerous researches in terms of developing applications for plant biotechnology, plant tissue culture, and mutation treatments to improve new cultivars. Therefore, research and developmental studies are widely associated to combined techniques including in vitro culture and molecular techniques through mutation breeding. In vitro mutagenesis applications are becoming important at this point.
\nInduced mutagenesis is a widely used method to identify and isolate the plant genes in combination with molecular accessions. These kinds of studies supply a clear prehension into the relation of genes and functions of the genes that have role in growth and development under several conditions [12].
\nIn vitro culture methods appear to have opportunities to display the useful variants. The recent improvements on in vitro technology acquired an importance to enlarge the aim of mutation breeding applications. The use in conjunction of in vitro tissue culture and mutation breeding methods makes a significant contribution to improve new crops and new varieties. Jain [18] reported the importance of this technique for ornamental plants beside the crops.
\nIt is known that genetic variabilities may occur during in vitro culture conditions without any application of mutagens, spontaneously. The frequency of the variants still indeterminable, and there are many parameters to depend on. Application of the mutagens can increase the rate of genetic variability via inducing the frequency of the mutations.
\nThe progress in recombinant DNA technologies and genes can be easily cloned from a genome into a genome of an organism. Genes can be purified in vitro in small amounts, and therefore the potential of inducing mutations has significantly broadened. In a controlled experimental environment, it is available to change the sequence of the nucleotides of DNA. In vitro mutagenesis studies systemically and efficiently focus on the potential ways of inducing mutagenesis. Some applications of mutagenesis depend on using isolated DNA molecule. In contrast to conventional mutagenesis, in vitro mutation breeding can be thought as a practicable and achievable technique to improve new genetic variabilities. Only few traits can be modified, and the remaining is not altered by the treatment.
\nIn vitro mutagenesis have some properties such as increased mutation rate, uniform mutagen treatment, needs of less space and time for large populations, and opportunity to keep the plant material disease-free. On the other hand, one of the main restrictions of mutation breeding application is the formation of chimeras as a result of the treatment. At this point, mutant selection process is becoming important.
\nIn vitro culture methods are more useful in mutation studies. Totipotency is a natural feature of the plant cells. By using one plant cell, it is possible to produce a whole plant, induce regeneration of the tissues and micropropagation of the plants in large volumes, and give opportunity to use different parts of the plants (stem, leaves, cuttings, apical and axillary buds, and tubers) to induce mutagenesis easily. Another advantage of in vitro culture is to screen the populations after mutagenesis to select the variant/mutants before giving a whole plant. Different plant tissues can be propagated to produce different tissues by using several combinations of plant growth regulators. Callus is an important cell organization. Cell suspension culture technique is started by using callus tissue to separate the single totipotent cells. Every plant cell can be differentiated into somatic embryos which is a useful tool for mutagenesis [4, 9].
\nThe target of the studies is to isolate the non-chimeric mutants from the irradiated explants to obtain desired mutants via repetitive selection processes. Meanwhile, duration of the culture and the selective traits that mutated are the main factors effect these processes [4]. M2 generation of the culture is the earliest step that the predominantly recessive mutants could be determined. Mutagen treatment can be applied at different stages of the cultures.
\nCorrect choice of the plant species due to economic, commercial production capacity and agricultural importance is the first step of an in vitro mutagenesis study. The selection of the plant material is related to the success of the in vitro culture. Seed, callus, node, shoot, and root tip cultures are the most commonly preferred plant material for in vitro mutagenesis applications. The genotype of a plant has a role in in vitro culture studies. The studies showed that different explants of same plant had different responses to the same radiation dose [19, 20]. Therefore, it is necessary to design an in vitro mutagenesis experiment in a proper combination of dose and explant type.
\nThe most important subject of in vitro mutagenesis is to select the suitable radiation dose to obtain the maximum viability. In the beginning, assessment of the LD50 value is needed to optimize the exact mutation dose. The sensitivity of the plants changes due to the species, cultivars, and current physiological environment. A preliminary dose experiment should be performed to define the appropriate dose. Reduced growth and seedling damages may be seen as traces of the genetically damaged plants after irradiation [21]. IAEA/FAO reported the average doses for crop species and summarized in Table 2.
\nCrops | \nImproved traits |
---|---|
Apple | \nEarly maturing, red fruit skin color, variegated leaf, dwarf, compact tree, resistance to powdery mildew and apple scab |
Apricot | \nEarliness |
Banana | \nEarliness, bunch size, reduced height, tolerance to |
Barley | \nPhytate (antinutrient) |
Canola | \nOil quality improvement |
Chickpea | \nResistant to Ascochyta blight and Fusarium wilt |
Citrus | \nSeedless, red color fruit, |
Cotton | \nResistant to bacterial blight, cotton leaf curl virus, high fiber |
Indian jujube | \nFruit morphology, earliness |
Loquat | \nFruit size |
Maize | \nResistant to pathogen |
Mung bean | \nResistant to yellow mosaic virus |
Pineapple | \nSpineless, drought tolerance |
Tomato | \nResistant to bacterial wilt ( |
Rapeseed | \nResistant to powdery mild |
Rice | \nResistant to blast, yellow mottle virus, bacterial leaf blight and bacterial leaf stripe, semidwarf/dwarf cultivar, lodging resistance, acid sulfate soil tolerance; tolerant to cold and high altitudes, salinity tolerance, early maturity, high-resistant starch in rice for diabetes patients, giant embryos of eight more plant oil, low amylose, low protein) |
Soybean | \nResistant to Myrothecium leaf spot and yellow mosaic virus, oil quality improvement, oilseed meals that are low in phytic acid desirability, poultry and swine feed |
Strawberry | \nThick and small leaf, light leaf color, white flesh and long fruit, |
Salinity tolerance | |
Sunflower | \nOil quality improvement, semidwarf/dwarf cultivars |
Wheat | \nResistant to stripe rust |
Species | \nUseful mutation breeding dose (gray) |
---|---|
120–250 | |
150–250 | |
40–70 | |
30–60 | |
100–200 | |
80–150 | |
200–350 | |
400–600 |
Gamma radiation radiosensitivity of some crop species [22].
According to the findings of the preliminary studies done with gamma radiation, it has been reported that there is no linearity between the radiation dose and the variance. The experimental gamma radiation treatments were summarized in Table 3.
\nSpecies | \nPlant material | \nGamma ray source | \nGamma radiation dose (Gy) | \nReference |
---|---|---|---|---|
Seeds | \n137Cs | \n100–400 | \n[23] | |
Seeds | \n137Cs | \n100–500 | \n[24] | |
Shoot tip | \n137Cs | \n5–50 | \n[25] | |
Shoot tip | \n137Cs | \n10–50 | \n[26] | |
Node | \n137Cs | \n5–50 | \n[27] | |
Leaf primordia | \n137Cs | \n10–50 | \n[28] | |
Seed | \n60Co | \n10–100 | \n[29] | |
PLBs, shoot buds, in vitro plantlets | \n60Co | \n10–80 | \n[30] | |
Embryogenic callus | \n60Co | \n50–400 | \n[31] | |
Embryonic callus culture | \n60Co | \n10–80 | \n[32] | |
Seed | \n60Co | \n80–240 | \n[21] | |
Shoot tips and lateral buds | \n60Co | \n0.25–1 | \n[33] | |
Axenic culture | \n60Co | \n10–140 | \n[34] | |
Shoot tips | \n135Co | \n0–60 | \n[35] | |
Shoots | \n60Co | \n5–30 | \n[36] | |
Ray florets | \n60Co | \n0.5–1 | \n[37] | |
Bulblets | \n60Co | \n0.5–2.5 | \n[38] | |
Single-node cuttings | \n60Co | \n5–80 | \n[39] |
In vitro mutagenesis protocols for some crop species.
Seed, callus, shoot tips, node cultures, and bulblets were frequently used for irradiation of different species. 137Cs and 60Co gamma sources were used to induce mutagenesis at different doses depending on the radiosensitivity of the explants. Atak et al. [24] used 100–500 Gy radiation doses produced by 137Cs gamma source for soybean seeds, while Singh and Datta [29] used 60Co gamma source at different doses ranging between 10 and 100 Gy for
Seetohul et al. [35] used 0–60 Gy gamma doses of 60Co gamma source to induce mutations for shoot tip explants of Taro plant. Jain [26] irradiated shoot tip explants of
In tissue culture treatments, different synthetic chemicals show similar effects as plant growth regulators which have abilities to induce growth of the tissues as desired. In mutation-based selection of the plants with desired characters using in vitro cultivation methods for vegetative plants, clonally reproduction of the plant parts is needed in order to detect the mutant generations via using easy stability tests [27]. The schematic diagram representing the usage of gamma radiation for in vitro mutagenesis applications is given in Figure 3.
\nThe representative schematic diagram of an in vitro mutagenesis application.
The selection of the desired mutants is an essential and important part in a mutation breeding program. In vitro mutagenesis applications give opportunity to the breeders to select the mutants in a controlled environment. The plant breeders can work with a large population of plant material. Different culture techniques such as suspension cultures and protoplast cultures can be widely preferred to have a genetic uniformity in the selection studies.
\nIn vitro selection studies have some advantages. These can be classified as follows:
Easiness of the application
Reduced time of the selection
Availability to use some selective agents in culture conditions
In vitro selection studies can be performed in two types: single step and multistep [4]. In single-step selection procedure, the inhibitor agent is added to the culture environment and the subcultures used for the selection studies. In multistep method, the dose of the selective agent below lethal dose is added to the culture, and the concentration of the inhibitor is gradually increased in subcultures. The selected mutant by this method has been defined as more stable than selected via other methods [4].
\nFood and ornamental plants are widely assessed for nutritional quality, early ripening, better flower, and biotic/abiotic stress tolerance capacities [4]. For abiotic stress treatments, it is more convenient to control the culture conditions than in the field environment [20, 40]. Salt, drought, cold, and heavy metal tolerance have been successfully performed in many plants. Callus, suspension cultures, or protoplast cultures were used for in vitro selection analysis by adding the selective agents reducing the growth such as mannitol and polyethylene glycol for drought tolerance; NaCl for salt tolerance; boron, aluminum, and nickel for metal tolerance; or changing the temperature of the cultures to select cold/high-temperature-tolerant plants [4, 41]. Both selection strategies, single step and multistep, can be used. The main point is to inhibit the false-positive selection responses due to epigenetic alterations in long-term culture conditions. When the plants are subject to long-term stress treatments with gradual increase of the selective agent, non-tolerant cells can experience stable epigenetic alterations, which can be inherited by mitosis. In order to avoid this period, preference of single-step selection procedure is suggested to be efficient during mutation breeding programs [41].
\nIn selection studies, the main criterion is to define the exact selective agent. This means that the molecular mechanism of the desired trait should be clearly understood by the plant breeders. Morphological and physiological changes should be used in combination to discriminate the mutants. All the parameters such as leaf injury, slower growth, average number of shoots per explant, survival percentage of the plants, fresh weight of the explants, leaf photosynthetic capacity, antioxidant defense system, and accumulation of osmolytes should be investigated in detail especially for stress tolerance studies [40, 41].
\nMutational genomics is becoming a valuable tool to differentiate the mutants improved via mutation breeding programs. It is also an important tool to understand the molecular basis of the plant stress response based on the data gathered from mutants of model plants and an easy way to determine the genetic similarities and characterize the variations between the mutants at the DNA level.
\nThe mutants were identified based on morphological characters, traditionally. The new developments in DNA technologies give opportunity to the plant breeders to make it quick and definite.
\nMolecular markers are widely used to differentiate the genetic differences between the mutant and the mother plants through characterizing the variations at DNA level. High-throughput genomic platforms such as random amplified DNA polymorphism (RAPD), cDNA-amplified fragment length polymorphism (AFLP), single-strand conformational polymorphism (SSCP), microarray, differential display, targeting induced local lesions in genome (TILLING) and high-resolution melt (HRM) analysis allow rapid and in-depth global analysis of mutational variations [4].
\nAmong these methods RAPD, inter simple sequence repeat (ISSR), and AFLP have been frequently used in genomic classification of the mutants [15, 42]. RAPD is an inexpressive and a rapid method to use in many fields of biotechnology. There is no need for genome information. It has been widely used to determine the genetic diversity in mutation breeding programs of many plants. RAPD is an efficient method to detect DNA alteration via using random primers. It has been started to use in earlier studies of genetic variabilities obtained by radiation treatments in
Xi et al. [38] reported an in vitro mutagenesis protocol for
Sianipar et al. [49] used RAPD method to detect the genetic variability between the mutant plantlets improved from gamma-irradiated rodent tuber calli. They obtained 69 fragments from 11 mutant plantlets by using 10 RAPD primers.
\nBarakat and El-Sammak [33] irradiated shoot tips and lateral buds of
Evaluation of salt-tolerant tobacco mutants improved via in vitro mutagenesis application. A and B represent the RAPD profiles of the mutants. C shows the callus growth of control plants under in vitro salt stress. D shows the callus growth profiles of the mutants under salt stress [
Sen and Alikamanoğlu [44] used ISSR method to differentiate the drought-tolerant sugar beet mutant improved via irradiation of shoot tip explants by gamma radiation. They obtained 91 polymorphic bands of 106 PCR fragments with 19 inter simple sequence repeat (ISSR) primers.
\nPerera et al. [40] applied in vitro mutagenesis treatment to an important energy crop giant miscanthus (
The representative results of evaluation of 8 salt-tolerant mutant soybean plants improved by in vitro mutagenesis treatment. A.The callus gowth of Ataem-7 and S04-05 soybean cultivars. B. The callus gowth of Ataem-7 and S04-05 soybean cultivars under 90 mM NaCl. C. Callus growth of M5 under 90 mM NaCl D. The whole plant M5.
Single-strand conformational polymorphism (SSCP) is another strength method to identify the variations between the mutant and mother plants in amplified DNA samples. It is widely used to determine the genetic mutations in several organisms. It is also an effective method to find a potential genetic marker which is in relation with a desired trait to use in selection studies of agricultural populations [52]. Irradiation of the plant tissues can cause mutation between the allelic gene copies [single-nucleotide polymorphism (SNP)]. SSCP is an efficient method to detect these polymorphisms. It is possible to detect relations between SSCP polymorphisms and quantitative traits [53].
\nThese methods can only be able to detect the genetic variations of the mutants in accordance with the mother plants. There are a number of methods to screen the causal mutation at a desirable phenotype. Molecular markers that are in relation with the mutation are known to be able to segregate in the next progenies. The main point is to make the functional analysis of the mutant genes that have role in acquiring the new desired characters. To identify a mutant, the number of the genes controlling that specific phenotypic character is deterministic [54].
\nIn a mutation breeding program, identification of differentially expressed genes, the biological processes they have role in, or the metabolic pathways of interest should be carried out through modern genomics and system biology. To achieve this, there are specific tools to discriminate with the use of next-generation molecular techniques. In microarray systems, it is available to detect the gene expressional differences between the mutants and control plants. Thousands of spots on a microarray chip containing a few million copies of identical DNA molecules buried on each spot are related to each gene of a plant genome. If it is a targeted mutation, it is possible to show the expressional differences between them by microarray technique. In general, spontaneous mutations cannot be detected at microarray systems. Sequencing methods are more efficient in the meanwhile. Mutant plants can now easily sequence by next-generation sequencing (NGS) techniques to define the mutations [55]. To apply these methods, there is no need for a reference genome. These analyses can be classified as forward genetic screening methods that give opportunity to improve the knowledge about the genes that control specific biological roles in mutant plants. In contrast to forward genetic, reverse genetic is more popular to detect the function of a gene. In mutation breeding programs, the plant breeders are focused to identify the individuals from a population that have an allelic variation of a gene. As mentioned previously, these individuals are improved by mutagenic treatments. TILLING method is available to determine the mutants with specific phenotypes. In tomato, approximately 3000 mutant lines that were improved by chemical mutagens on fruit ripening trait were identified by this method. This method is used for barley to screen the homeodomain-leucine zipper protein mutants. Recent progresses in NGS technologies and TILLING which is in relation with these technologies make it possible to screen the potential genes [54, 56].
\nThe increasing importance of plant breeding studies in correlation with biotechnology and molecular genetics is attempted to meet the requirements of increasing population for food and crop plants. Therefore, mutation breeding treatments have become more frequent and alternative to classical breeding and genetically modified plants. The main aim is to combine several features of many plants in one super plant. In vitro mutagenesis has become an efficient tool for this purpose. Plant breeders are focused to crop improvement techniques to improve genetic variations of useful traits by using next-generation molecular methods.
\nUsing these advanced genomic techniques, new molecular mechanisms and new genes can be potentially identified by the plant breeders as a result of in vitro mutagenesis treatments. To gain more data, additional needs of various comparative and descriptive experiments can be upgraded to acquire more specific points to build the relations between the regulatory mechanisms. Therefore, the recent progress in mutation breeding studies in relation with new technologies is quite important to contribute new advancement to plant breeding programs.
\nDuchenne muscular dystrophy (DMD) was primarily described in 1834–1836 by Neapolitan physicians Giovanni Semmola and Gaetano Conte. Dr. Guillaume Duchenne de Boulogne made a significant contribution to the description of the disease in 1860s [1]. DMD is considered a rare, or orphan, disease but it is definitely one of the most frequent among muscular dystrophies. About one male in 3500 is diagnosed with DMD. DMD is an X-linked recessive disease so women are affected with a frequency of 1 case per 50 million [2, 3, 4]. Many attempts of various groups and organizations are set towards the search for the cure. Different strategies such as genome editing, replacement therapy, anti-inflammatory and antioxidative drug treatment are developed [5]. These therapies target different components of an extremely complex scheme of DMD pathogenesis. So animal models are important for study of the disease, research and development of the therapies. Many animal models were created or, in some cases, adapted from natural sources.
It is important to understand the mechanism of DMD pathogenesis and progression in order to discuss origins, purposes and potential uses of animal disease models. DMD develops when the organism lacks dystrophin expression. Dystrophin is encoded by the largest gene in the genome (
Muscle dystrophin is a very complicated molecular machine. The function of muscle dystrophin is formation of dystrophin-associated protein complex (DAPC) and absorption of mechanical tensions which occur due to muscle constriction [9]. Muscle dystrophin is 427 kDa protein that consists of 3685 amino acids [10]. The protein is usually divided in four functional and structural superdomains. The N-terminal superdomain consists of two calpain-homology domains and provides binding of the protein to actin. The second superdomain is called rod domain. It is the largest domain that includes 24 spectrin-like repeats and 4 unstructured hinge domains. It acts as a spring that adsorbs mechanical tensions. The third superdomain (referred to as cysteine-rich domain, or CR) includes WW-motif, two EF motifs and ZZ-motif. This domain binds dystrophin to the sarcolemmal proteins being the central driver of DAPC formation. C-terminal domain binds to several proteins performing mostly signal functions [10].
DAPC is located in sarcolemma and provides the linkage between dystrophin and external proteins such as laminin and collagen. The complex includes ɑ- and β-dystroglycans, ɑ-,β-, 𝛾-,δ-,ε-sarcoglycans which interact with CR domain of dystrophin; and dystrobrevin, α1, β1, and β2-syntrophins, neuronal nitric oxide synthase (nNOS) and several other proteins which interact with C-terminal domain. The deficiency of these proteins also induces several pathologies such as limb-girdle muscular dystrophy, myotonia and some others [9].
The loss of dystrophin leads to several consequences. The initial one is the loss of membrane integrity and toughness. This causes membrane damage during muscle contractions and consequent membrane leakage. The homeostasis of extra- and intracellular components (calcium ions being the most important of all) is disrupted. This leads to calcium signaling imbalance, mitochondrial dysfunction (as mitochondria acts as calcium depo), proinflammatory and apoptotic signaling activation and other damaging consequences [11]. Finally, this results in muscle cell death and its replacement by new muscle cells originating from satellite predecessor cells that finally leads to depletion of the pool of satellite cells. Damaged and regenerating muscle tissue is characterized by central nuclei. The fraction of central nucleated myofibers is a quantitative marker of DMD progression and therapeutic treatment [12]. Normal muscular tissue is also replaced by connective tissue (fibrosis) and adipose tissue in addition to regeneration. Neutrophil and macrophage infiltration also accompanies the disease progression [13].
The first symptoms of DMD usually arise at the age of 16–18 months. The children may experience issues with walking, running or rising, toe walking or Gower’s sign. At the age of 2–3 years old the muscles of lower limbs begin to degrade. The children suffer from extensive weakness and obtain specific gait patterns. Scoliosis and flexion contractures of the limbs also develop in DMD patients. At the age of 10–12 years old children begin to use a wheelchair. Later, at 14 y.o., some patients develop dilated cardiomyopathy and arrhythmia. Patients usually die at 20 years due to heart failure or respiratory distress in absence of proper treatment. Female carriers do not suffer from severe symptoms; they usually have cardiomyopathy, mild respiratory issues, creatine kinase (CK) level enhancement and pseudo hypertrophy of the backside of the shin [14].
If any suspicious symptoms are observed CK level estimation is the first diagnostic procedure. This is a cheap and fast but not selective test as CK growth is a symptom of various muscle and nonmuscle (i.e. liver) diseases. So further diagnostics is required. If the CK is elevated the screening for exon deletion or duplication should be performed. About 30% of mutations may not be identified by these techniques (multiplex ligation-dependent probe amplification or comparative genomic hybridisation array) and full sequencing of the gene is required. The mutation location and character may help to predict the type and severity of the disease. If the mutation is still unidentified the muscle biopsy sample should be tested for dystrophin protein presence by immunohistochemistry or western blot [14].
In some cases, mutations in
Currently no ultimate cure for DMD exists. Several treatment strategies are currently applied and many approaches are waiting for approval or being developed [5]. Most of the approved treatments target the farther consequences of dystrophin loss [5, 11]. Glucocorticosteroids suppress fibrosis and inflammation and mechanical ventilation helps patients with respiratory deficits. Anti-inflammatory and antioxidant drugs are also used or being tested [11]. But these approaches do not target the primary issue and are capable of lengthening the lifespan for about a decade. Several more complex approaches are now being developed. One of the most promising candidate therapies is the gene replacement therapy [17]. The idea is the delivery of a shortened but still functional gene copy to the muscles lacking its natural variant. The delivery may be provided via various types of vectors such as viral vectors, nanoparticles or even plasmids [18]. Several difficulties complicate the path to success. These are extremely high research and production costs, immune response and comparatively large size of the protein and corresponding genetic construct. Another class of therapies being developed is restoration of the reading frame [19]. This may be achieved by introduction of antisense oligonucleotide, genome editing or some other techniques. The next class of therapies is utrophin modulation. Utrophin is an autosomal paralog of dystrophin which shares almost similar domain organization and high sequence correlation with dystrophin. In embryonic muscles utrophin localizes similarly to dystrophin and performs the same functions. In muscles utrophin is replaced by dystrophin in early childhood and in adults it is present in such non-muscle tissues as renal epithelia. In the adult organism utrophin expression is extremely low. In the case of dystrophin deficiency the expression of utrophin starts to increase but its level is still insufficient for dystrophin replacement in humans. Several approaches such as transcription modulators may potentially increase utrophin expression and slow down the disease progression [20]. Interestingly, several species such as mice are able to increase utrophin expression to sufficient level without any modulators [21]. This may provide fundamental data about dystrophy compensation mechanisms. However, it questions the adequacy of the DMD model based on these species. Other strategies include cell-based therapies which are being developed for a long time and interesting exosome-based approach which originated from cell-based one [22].
As can be seen from the above, the existing and potent strategies for DMD therapy include genome editing, pre-mRNA splicing and cell modification, gene or cell delivery, and others [5]. All of them require animal models to be tested. In most cases these models are not interchangeable. For example, if one develops an exon-skipping strategy for a rare mutation, they will need an animal model with a corresponding mutation. So ideally a unique model is essential for every single mutation (at least for most common of them). The type and location of mutation is also important as, despite almost all mutations lead to absence of three major isoforms, the presence or absence of short isoforms depends on mutation location and type. So different mutations on similar backgrounds may have different phenotypes and may be valuable both for research and drug development. Many animal (mostly mouse) models with different specific mutations were developed both for fundamental studies of the gene and protein function and role of short isoforms and for proof-of-concept and preclinical studies of potential therapies.
Despite mouse models of DMD being the most common due to their relative cheapness they possess a significant disadvantage. All dystrophin-deficient animals have dystrophic symptoms but the severity of them does not often correlate with the disease severity in DMD patients. For example the lifespan of classic mouse model
Here we describe animal models starting from classic
The most widely used and well described animal model for Duchenne muscular dystrophy (DMD) research is the
Similar to DMD patients,
Since the pathogenesis of DMD in the
Although
Four new mdx murine models (
There are several models of mice obtained by crossing
The most phenotypically relevant to the human DMD murine model was created on the DBA2 background. The DBA2 inbred mouse strain carries a naturally occuring in-frame deletion within the latent TGFβ-Binding Protein 4 (LTBP4) gene. This promotes enhanced inflammation and loss of ambulation in DMD patients [41]. The DBA2-
Another explanation for the less pronounced dystrophic phenotype in
Humanization makes phenotype of
Dystrophin function, as well as pathogenesis and treatment strategies for DMD have been well studied in different murine models (
Murine models are the most convenient and widely used for studying protein function, pathogenesis and treatment options for the disease. Many preclinical trials of drugs that are currently used or tested in clinical trials have been performed on DMD murine models. However, many laboratories use not only mice for their studies, but also other species of animals, including non-mammalian models, other rodents or large mammals. Non-mammalian DMD models were generated in zebrafish
In addition to mice, larger animal models are now available. All DMD canine and feline models have been identified in natural populations. Porcine, rat, monkey and rabbit models were created with CRISPR/Cas9 technology [24, 31]. The most popular DMD models in large animals are canine models. Spontaneous mutations in the dystrophin gene causing the development of dystrophic phenotype have been identified in 14 dog breeds [60]. Some of them are currently bred in nurseries as a DMD canine model, others were discovered in natural populations as individual cases and described in the literature. The first group includes the well known golden retriever muscular dystrophy dog model (GRMD), Cavalier King Charles spaniel model [61], Welsh corgi model Australian Labradoodle model, German short-haired pointer and new labrador retriever model with inversion in dystrophin gene [60]. The most widely used and well described canine model of DMD is the GRMD model. The GRMD mutation was first reported in four animals in the early 1980s [62]. It was established that GRMD dogs had a splice site mutation (transition A > G) in intron 6 causing abnormal mRNA splicing and loss of exon 7 of dystrophin gene. GRMD dogs had severe dystrophic phenotype including elevated CK level, skeletal muscle atrophy with contractures, dyspnoea, dysphagia, dilated cardiomyopathy, large fibrosis and fat tissue areas. The GRMD dog population also showed heterogeneity of dystrophic features between different individuals, what also makes this model similar to DMD in humans [60]. A clinical course of GRMD dogs is more similar to DMD patients in contrast to
In addition to dystrophic dog colonies maintained in nurseries several cases of spontaneous mutations in dogs of different breeds have also been described. The interesting case is 7 base pair deletion in exon 42 in Cavalier King Charles spaniel, the second CKCS model with mutation in the
Unequivocally, canine models have a significant advantage over murine models due to their more pronounced dystrophic phenotype and possible immune response to treatment. However, as well as
The first case of hypertrophic feline muscular dystrophy (HFMD) in domestic cats was described in 1989 [69]. Spontaneous mutation causing dystrophic phenotype was established as a deletion of the dystrophin promoter and first exons corresponding to dystrophin from muscle and Purkinje cells. Dystrophic cats showed pronounced appendicular and axial muscle hypertrophy, involving of tongue and diaphragm, histopathological lesions in skeletal muscles, diaphragm and heart, including different fiber diameter and acute necrosis and cardiomyopathy [70]. The HFMD model is rarely used in DMD preclinical research because tongue hypertrophy and diaphragm defects lead to difficulties in feeding, animal welfare and early death.
The CRISPR/Cas9 technology has made it possible to create several more models of DMD in such animals as pigs, rats, rabbits and monkeys. Rats are the most convenient animals for biomedical research, therefore several rat models have been created. The first rat model was created using CRISPR/Cas9 gene editing [71] and had exon 3–6 deleted in dystrophin gene. Dystrophin deficient rats showed reduced muscle strength and specific dystrophic phenotype of skeletal muscles, diaphragm and heart. Also these rats showed age-dependent decline of cardiac functions similar to DMD patients [72]. Later, based on this model, another rat model with an in-frame mutation in the dystrophin gene was generated [73]. New mutant rats had reduced expression of truncated dystrophin and mild phenotype similar to BMD patients. These rats can be useful to study BMD pathogenesis and efficiency of dystrophin recovery. The third rat model was created using TALEN (Transcription activator-like effector nucleases) technology. Its mutation was a frame shifting 11 base pairs deletion in exon 23 generating premature stop codon [74]. Animals exhibited reduced muscle strength, cardiomyopathy, large muscle necrosis and fibrosis. This model can be used for preclinical research as a small DMD animal model.
Several mice models were created that may be suitable mostly for scientific use. One of them is the Dmdmdx−bgeo model [75]. It contains the beta-Geo marker inserted after exon 63. The protein product translated from the resulting allele lacks cysteine-rich and C-terminal domains and is not functional. The Dmdmdx−bgeo model mostly resembles the
DmdEGFP reporter mouse [76] lacks the disadvantage of Dmdmdx−bgeo model. The eGFP (enhanced green fluorescent protein) coding sequence was introduced behind the exon 79 and the chimeric protein remains functional. The transgenic mice did not show any signs of pathology. This approach allows us to observe almost all major dystrophin isoforms except for those having alternative C-terminal domain. The studies with this model may provide valuable data on dystrophin expression and localization in muscle and non-muscle tissues and shed the light on its functions.
In 1999 the Dp71-null mouse model was described [77]. The first and unique exon of Dp71 is located between exons 62 and 63 of the
Genetic testing revealed the incredible diversity of mutations in
Deletions of one or more exons are the most common mutations in the DMD gene. They account for 68% of all mutations. Among them, deletions of single exon 44 (3%), 45 (4%), 50 (2%), 51 (3%), 52 (3%) are represented with approximately the same frequency [81]. Directed mutations in the dystrophin gene in laboratory animals were obtained for the purpose of selecting drugs for exon-skipping. Exon structures of popular models with deletions in mutation hotspot are shown on Figure 1. The first models were obtained by homologous recombination using embryonic stem cells. In 1997 a mouse model
Animal models representing DMD exon deletions in mutation hotspot. Gene fragment structures around exon with frameshift mutation are shown on the left. Currently tested therapeutic approaches and resulting exon structures are shown on the right.
Reframing in exon 51 was also tested in mouse models with deletion of exon 50
One of the most frequent deletions, the deletion of exon 44, was reproduced in mice
CRISPR/Cas9 genome edited
Models with single exon deletions
Deletions of several exons are quite common in patients, but to date only one mouse model with an extended mutation in the hotspot is known. Deletion of exons 52–54 was simulated in
Duplications of one or several exons are also highly widespread mutations, affecting 5–10% of all DMD patients [102]. The most common duplication in the patient population
Nonsense mutations are also very common in the human population affecting approximately 25% of the patients [102]. The most popular
Rare mutations found in patients were repeated in models to test precision gene editing methods. Those contain big deletion of exons 8–34 in
Large mammalian models have more pronounced DMD symptoms in comparison to murine models. But limited availability and less extensive experience in their genome modification led to reduced use in precision medicine approaches testing. Pig model with deletion of exon 52
Identified in natural population
Naturally occurring intron splice site mutation that leads to the loss of exon 7 was identified in Golden retriever dogs leading to generation of
The next model stands out and its value is more in demonstrating the possibility of creating new models than in itself. The new mice obtained by transgenesis carry randomly embedded copies of the EGFP under the CAG promoter (strong synthetic promoter that consists of regulatory elements from
Here we described several dozens of Duchenne muscular dystrophy models. The list of species used to create these models includes worms, fruit flies, fishes, dogs, cats, mice, pigs, rats and monkeys. Some of them were found in natural populations, while the others were artificially created. The spectrum of genetic interventions spans from point mutations to complete deletion of the largest gene -
The correspondence of the model phenotype to human DMD phenotype is extremely important for drug testing. Some of the models, especially based on small animal species, could not represent DMD features correctly. The same goes for many mice models. The mouse model which has mutation identical to a certain DMD case may not correctly represent the DMD phenotype. Vice versa, several double knockout mice models reproduce the DMD phenotype much closer while being an inadequate genetic model. The models based on larger species are more useful as their phenotype is usually closer to DMD. But the creation, maintenance and cost of these animals complicates their use and restricts diversity. Indeed, no ideal DMD model is still created. However, the development of novel promising DMD treatment strategies requires both genetically similar models for precision drugs testing and phenotypically appropriate models for disease study and design of therapies. We should expect the expansion of the DMD-related animal models list in the nearest future.
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\n\nIntechOpen chapters and articles are distributed under CC BY 3.0 licences allowing users to “copy, use, distribute, transmit and display the work publicly and to make and distribute derivative works, in any digital medium for any responsible purpose, subject to proper attribution of authorship...” and there is no non-commercial restriction.
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The applications can be divided into the following two main categories: applications in the network performance and those in the energy efficiency. The game theory is widely used to regulate the behavior of the users; therefore, the cooperation among the nodes can be achieved and the network performance can be improved when the game theory is utilized. On the other hand, the game theory is also adopted to control the media access control protocol or routing protocol; therefore, the energy exhaust owing to the data collision and long route can be reduced and the energy efficiency can be improved greatly. In this chapter, the applications in the network performance and the energy efficiency are reviewed. The state of the art in the applications of the game theory in wireless networks is pointed out. Finally, the future research direction of the game theory in the energy harvesting wireless sensor network is presented.",book:{id:"6756",slug:"game-theory-applications-in-logistics-and-economy",title:"Game Theory",fullTitle:"Game Theory - Applications in Logistics and Economy"},signatures:"Deyu Lin, Quan Wang and Pengfei Yang",authors:[{id:"258432",title:"Dr.",name:"Deyu",middleName:null,surname:"Lin",slug:"deyu-lin",fullName:"Deyu Lin"},{id:"259049",title:"Prof.",name:"Quan",middleName:null,surname:"Wang",slug:"quan-wang",fullName:"Quan Wang"},{id:"261098",title:"Dr.",name:"Pengfei",middleName:null,surname:"Yang",slug:"pengfei-yang",fullName:"Pengfei Yang"}]}],mostDownloadedChaptersLast30Days:[{id:"43920",title:"Models for Highway Cost Allocation",slug:"models-for-highway-cost-allocation",totalDownloads:3474,totalCrossrefCites:2,totalDimensionsCites:1,abstract:null,book:{id:"2169",slug:"game-theory-relaunched",title:"Game Theory Relaunched",fullTitle:"Game Theory Relaunched"},signatures:"Alberto Garcia-Diaz and Dong-Ju Lee",authors:[{id:"146465",title:"Dr.",name:"Alberto",middleName:null,surname:"Garcia-Diaz",slug:"alberto-garcia-diaz",fullName:"Alberto Garcia-Diaz"},{id:"147887",title:"Prof.",name:"DongJu",middleName:null,surname:"Lee",slug:"dongju-lee",fullName:"DongJu Lee"}]},{id:"60490",title:"Stochastic Leader-Follower Differential Game with Asymmetric Information",slug:"stochastic-leader-follower-differential-game-with-asymmetric-information",totalDownloads:869,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"In this chapter, we discuss a leader-follower (also called Stackelberg) stochastic differential game with asymmetric information. Here the word “asymmetric” means that the available information of the follower is some sub-\n\nσ\n\n-algebra of that available to the leader, though they play as different roles in the classical literatures. Stackelberg equilibrium is represented by the stochastic versions of Pontryagin’s maximum principle and verification theorem with partial information. A linear-quadratic (LQ) leader-follower stochastic differential game with asymmetric information is studied as applications. If some system of Riccati equations is solvable, the Stackelberg equilibrium admits a state feedback representation.",book:{id:"6756",slug:"game-theory-applications-in-logistics-and-economy",title:"Game Theory",fullTitle:"Game Theory - Applications in Logistics and Economy"},signatures:"Jingtao Shi",authors:[{id:"147959",title:"Dr.",name:"Jingtao",middleName:null,surname:"Shi",slug:"jingtao-shi",fullName:"Jingtao Shi"}]},{id:"62516",title:"The Game Theory: Applications in the Wireless Networks",slug:"the-game-theory-applications-in-the-wireless-networks",totalDownloads:1444,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Recent years have witnessed a lot of applications in the computer science, especially in the area of the wireless networks. The applications can be divided into the following two main categories: applications in the network performance and those in the energy efficiency. The game theory is widely used to regulate the behavior of the users; therefore, the cooperation among the nodes can be achieved and the network performance can be improved when the game theory is utilized. On the other hand, the game theory is also adopted to control the media access control protocol or routing protocol; therefore, the energy exhaust owing to the data collision and long route can be reduced and the energy efficiency can be improved greatly. In this chapter, the applications in the network performance and the energy efficiency are reviewed. The state of the art in the applications of the game theory in wireless networks is pointed out. Finally, the future research direction of the game theory in the energy harvesting wireless sensor network is presented.",book:{id:"6756",slug:"game-theory-applications-in-logistics-and-economy",title:"Game Theory",fullTitle:"Game Theory - Applications in Logistics and Economy"},signatures:"Deyu Lin, Quan Wang and Pengfei Yang",authors:[{id:"258432",title:"Dr.",name:"Deyu",middleName:null,surname:"Lin",slug:"deyu-lin",fullName:"Deyu Lin"},{id:"259049",title:"Prof.",name:"Quan",middleName:null,surname:"Wang",slug:"quan-wang",fullName:"Quan Wang"},{id:"261098",title:"Dr.",name:"Pengfei",middleName:null,surname:"Yang",slug:"pengfei-yang",fullName:"Pengfei Yang"}]},{id:"63373",title:"Infinite Supermodularity and Preferences",slug:"infinite-supermodularity-and-preferences",totalDownloads:967,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter studies the ordinal content of supermodularity on lattices. This chapter is a generalization of the famous study of binary relations over finite Boolean algebras obtained by Wong, Yao and Lingras. We study the implications of various types of supermodularity for preferences over finite lattices. We prove that preferences on a finite lattice merely respecting the lattice order cannot disentangle these usual economic assumptions of supermodularity and infinite supermodularity. More precisely, the existence of a supermodular representation is equivalent to the existence of an infinitely supermodular representation. In addition, the strict increasingness of a complete preorder on a finite lattice is equivalent to the existence of a strictly increasing and infinitely supermodular representation. For wide classes of binary relations, the ordinal contents of quasisupermodularity, supermodularity and infinite supermodularity are exactly the same. In the end, we extend our results from finite lattices to infinite lattices.",book:{id:"6756",slug:"game-theory-applications-in-logistics-and-economy",title:"Game Theory",fullTitle:"Game Theory - Applications in Logistics and Economy"},signatures:"Alain Chateauneuf, Vassili Vergopoulos and Jianbo Zhang",authors:[{id:"248905",title:"Prof.",name:"Jianbo",middleName:null,surname:"Zhang",slug:"jianbo-zhang",fullName:"Jianbo Zhang"},{id:"248908",title:"Prof.",name:"Alain",middleName:null,surname:"Chateauneuf",slug:"alain-chateauneuf",fullName:"Alain Chateauneuf"},{id:"248910",title:"Dr.",name:"Vassili",middleName:null,surname:"Vergopoulos",slug:"vassili-vergopoulos",fullName:"Vassili Vergopoulos"}]},{id:"60809",title:"Game Theory Application in Smart Energy Logistics and Economy",slug:"game-theory-application-in-smart-energy-logistics-and-economy",totalDownloads:1012,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"In many parts of the world, energy sectors are transformed from conventional to the smart deregulated market structures. In such smart deregulated market environment, cooperative game theory can play a vital role for analyzing various smart deregulated market problems. As an optimization tool, cooperative game theory is very useful in smart energy logistics and economy analysis problem. The economy associated with smart deregulated structure can be better optimized and allocated with the help of cooperative game theory. Initially, due to regulated structure, there is no cooperation between different entities of energy sector. But after new market structure, all the entities are free to take their own decisions as an independent entity. Transmission open access of energy logistics is also comes into the picture, as all the generators and demands have the same right to access the transmission system. In this market situation, multiple utilities are using the same energy logistic network. This situation can be formulated as a cooperative game in which generators and demands are represented by players. This chapter deals with energy logistic cost allocation problems for a smart deregulated energy market. It is cooperative in nature as all the agents are using the same energy logistic network.",book:{id:"6756",slug:"game-theory-applications-in-logistics-and-economy",title:"Game Theory",fullTitle:"Game Theory - Applications in Logistics and Economy"},signatures:"Baseem Khan",authors:[{id:"240063",title:"Dr.",name:"Baseem",middleName:null,surname:"Khan",slug:"baseem-khan",fullName:"Baseem Khan"}]}],onlineFirstChaptersFilter:{topicId:"468",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:18,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. 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He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,annualVolume:11419,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. 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His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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