Sample size measured in this study.
\r\n\tThis project will include chapters covering the main aspects of angiographic techniques; coronary angiography, fluorescein and microangiography, peripheral angiography, miscellaneous angiography, and new concepts and advances. It will provide an insight into significant updates including hybrid imaging, new devices, contrast medium, and techniques. As the endovascular approaches have evolved over the last several years with the rapid influx of minimally invasive techniques, it is important to point out that there are many aspects which require complex medical workups and substantial preoperative decision algorithms, which have not been covered in the literature yet. The book will be a collection of chapters from world class experts contributing to this new endeavor in medical sciences.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"d6e5b06750aa89961fd7e81c3740c6bd",bookSignature:"Dr. Patricia Bozzetto Ambrosi",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/9061.jpg",keywords:"Coronary Angiography, Fluorescein, Microangiography, Neurovascular Angiography, Peripheral Angiography, Leg Claudication, Renal Stenosis, Atherosclerosis, Medicolegal, New Advances, Hybrid Imaging",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"July 9th 2019",dateEndSecondStepPublish:"September 26th 2019",dateEndThirdStepPublish:"November 25th 2019",dateEndFourthStepPublish:"February 13th 2020",dateEndFifthStepPublish:"April 13th 2020",remainingDaysToSecondStep:"a year",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"221787",title:"Dr.",name:"Patricia",middleName:null,surname:"Bozzetto Ambrosi",slug:"patricia-bozzetto-ambrosi",fullName:"Patricia Bozzetto Ambrosi",profilePictureURL:"https://mts.intechopen.com/storage/users/221787/images/system/221787.jfif",biography:"Dr. Patricia Bozzetto Ambrosi graduated in medicine from The University of Caxias do Sul, Brazil, and the University of Rome Tor\nVergata, Italy. She is a former researcher in morphophysiology at the University of Córdoba/Reina Sofia Hospital, Córdoba, Spain.\nShe graduated in Neurology/ Neurosurgery at the Hospital of Restauração, SES, in Brazil and Neuroradiology/Radiodiagnostics at Paris Marie Curie University. She holds a master’s degree in Medicine from the University of Nova Lisboa in Portugal and in Behavioral Sciences and Neuropsychiatry from the University of Pernambuco. She also has a Ph.D. in Biological Sciences from the University of Pernambuco/Paris Diderot University. She is a former Fellow in Interventional Neuroradiology in France at the Ophthalmological Foundation Adolphe de Rothschild, Beaujon Hospital, and Hospices Civils de Strasbourg. She was Praticien Associé in Interventional Neuroradiology at Neurologique Hospital Pierre Wertheimer, University of Lyon Claude Bernard in Lyon, France, and Visiting Professor of the University of Paris Diderot-Neuri Beaujon. She is actually an independent consultant/supervisor in neuroradiology, neuroendovascular, and imaging. She has been also an academic collaborator researcher in the Cardiovascular Department at the University of Leicester. 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This requires extensive analysis of developing trends in scientific research in order to offer our readers relevant content. Creating the book catalogue is also based on keeping track of the most read, downloaded and highly cited chapters and books and relaunching similar topics. I am also responsible for consulting with our Scientific Advisors on which book topics to add to our catalogue and sending possible book proposal topics to them for evaluation. Once the catalogue is complete, I contact leading researchers in their respective fields and ask them to become possible Academic Editors for each book project. Once an editor is appointed, I prepare all necessary information required for them to begin their work, as well as guide them through the editorship process. I also assist editors in inviting suitable authors to contribute to a specific book project and each year, I identify and invite exceptional editors to join IntechOpen as Scientific Advisors. I am responsible for developing and maintaining strong relationships with all collaborators to ensure an effective and efficient publishing process and support other departments in developing and maintaining such relationships."}},relatedBooks:[{type:"book",id:"9364",title:"New Insight into Cerebrovascular Diseases",subtitle:"An Updated Comprehensive Review",isOpenForSubmission:!1,hash:"bb9cf94a9674571e55f6e01a20ec372a",slug:"new-insight-into-cerebrovascular-diseases-an-updated-comprehensive-review",bookSignature:"Patricia Bozzetto Ambrosi, Rufai Ahmad, Auwal Abdullahi and Amit Agrawal",coverURL:"https://cdn.intechopen.com/books/images_new/9364.jpg",editedByType:"Edited by",editors:[{id:"221787",title:"Dr.",name:"Patricia",surname:"Bozzetto Ambrosi",slug:"patricia-bozzetto-ambrosi",fullName:"Patricia Bozzetto Ambrosi"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7147",title:"Demystifying Polyneuropathy",subtitle:"Recent Advances and New Directions",isOpenForSubmission:!1,hash:"884b3c36ad0b0856066a901d2f910ef5",slug:"demystifying-polyneuropathy-recent-advances-and-new-directions",bookSignature:"Patricia Bozzetto Ambrosi",coverURL:"https://cdn.intechopen.com/books/images_new/7147.jpg",editedByType:"Edited by",editors:[{id:"221787",title:"Dr.",name:"Patricia",surname:"Bozzetto Ambrosi",slug:"patricia-bozzetto-ambrosi",fullName:"Patricia Bozzetto Ambrosi"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. 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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"}}]},chapter:{item:{type:"chapter",id:"70017",title:"Mainland versus Island Adaptation: Paleobiogeography of Sunda Shelf Primates Revisited",doi:"10.5772/intechopen.90051",slug:"mainland-versus-island-adaptation-paleobiogeography-of-sunda-shelf-primates-revisited",body:'\nMainland and island are two unique bodies of landmasses that hold not only the obvious different area dimension but also a timeline that portrayed dynamic changes on their geographical and ecological features. Southeast Asia that comprises mainland and the patches of island is a home for the primate species diversity with high rate of endemism and provinciality [1]. Since the emergence of primates in the region during Quaternary to recent, 13 genera have been taxonomically recognized: Homo, Pongo, Hylobates, Symphalangus, Nomascus, Hoolock, Macaca, Trachypithecus, Presbytis, Simias, Nasalis, Nycticebus, and Tarsius [2]. With the high variability on body mass and body size, Southeast Asian primates, both the mainland and island populations, remain enigmatic when confronted toward ecogeographical “rules,” resulting positive [3], contradictive [4, 5], and inconsistent results [6]. However, given their peculiarity in adaptive functional characters among other mammal taxa and their close evolutionary trajectory to human [7], primates share similarities showing their capability in grasping object [2] for faster food procurement and high occasional flexibility in locomotion (e.g., arboreal quadrupedalism, terrestrial quadrupedalism, and bipedalism) [2, 8]. These functional characters support their high adaptability in predator avoidance and alternate dietary shifts when resources are limited [9].
\nLying over a wide range of latitude and various sizes of islands, the Southeast Asian region is frequently subjected for the studies of primate insularity that involved spatial factors (e.g., island size, latitude, and island-mainland distance) [3, 4, 5, 10] and temporal factors (e.g., isolation duration and geological chronology) [5]. Insularity on primates is an interesting phenomenon that invites many reports, linking to their ecomorphological complex (body size and body shape) [6] and biodiversity changes [11].
\nIn many ecological aspects, mainland environment differs from island environment. In addition, large-sized island provides different ecological scenarios from small-sized island. Certain duration of isolation on a relatively small island may lead to limited resources, fewer predators, and reduced interspecific competition [12]. Although it is not impacted universally, the combinative geographical effects on island size and island isolation can promote gigantism in smaller insular mammal species and dwarfism in larger mammal species. It is widely known as island rule (=Foster’s rule) [6, 13, 14, 15, 16, 17, 18]. With the wide span of latitudinal range, primates inhabiting the Sunda Shelf region are also assumed to follow Bergmann’s rule, by testing the effect of latitudinal position to body size [3, 4, 5]. This study aims to elicit the validity of ecogeographical rules affected body size and biodiversity changes of primates around Sunda Shelf throughout the geological chronology, since their appearance in Quaternary until recent.
\nAmong mammal taxa, the record of body size shift has not been found spectacular in all primate species [19]. Before the Quaternary, the primate fossil records adapted to island rule are found in Madagascar and Caribbean islands. Strepsirrhine primates found in Madagascar (e.g., Archaeoindris fontoynontii and Megaladapis edwardsi) are known to have become gigantic [20], while an extinct dwarf lemur, Cheirogaleus spp., is known to occupy Nosy Hara Island, a small islet off the northwest coast of Madagascar [21]. The specific examples of island gigantism are also found in platyrrhine monkeys, such as Paralouatta mariane from Cuba [22] and Xenothrix mcgregori from Jamaica [23].
\nHominine taxa represented by the Homo floresiensis [24] and Homo luzonensis (judging from the small-sized molar [25]) have become the object of comparison to their predicted common ancestor, Homo erectus, who inhabited a large-sized island (Java) and Asian continent (Zhoukoudian, China) [24, 25, 26]. Until recent, there is no evidence of gigantism found on Southeast Asian insular primates. Looking upon their localities, it shows that the island rule on primates likely occurs in a warmer area within the latitudinal span approaching equator. Throughout several reports [6] island rule on insular primates causing body size change is more evident in oceanic islands due to the deep bathymetric barrier from the mainland regardless of their short island-mainland distance (e.g., Madagascar Island and Mentawai Island) [12].
\nGained with the fact that three primate genera (Macaca, Presbytis, and Hylobates) stand as the most widely distributed taxa over Sunda Shelf islands, an attempt is conducted to compare the body size profile between living populations in mainland and island, addressing that an island, regardless of their various sizes, bathymetric barrier, and distance to mainland, is assumed to generate body size changes or body shape variation. Three-dimensional measurements were employed on 20 landmark points on lateral crania (Figure 1, Table 1, Table 2) of five species that strictly inhabit mainland and island (Hylobates lar, Hylobates agilis, Macaca fascicularis, Macaca nemestrina, Presbytis femoralis). The landmark points were obtained using 3D digitizer (MicroScribe MX; Immersion Corp., San Jose, CA) and translated into centroid size that stands as alternative check to compensate spatial size over two-dimensional size (Figure 2).
\nMap showing two different generalized bathymetric levels from 40 and 120 m throughout Sunda shelf. Closed dash lines present the group of islands with relatively equal range of sea depth.
Sex group | \n\nHylobates\n | \n\nMacaca\n | \n\nPresbytis\n | \n||
---|---|---|---|---|---|
\nH. lar\n | \n\nH. agilis\n | \n\nM. fascicularis\n | \n\nM. nemestrina\n | \n\nP. femoralis\n | \n|
M | \n31 | \n9 | \n60 | \n20 | \n38 | \n
F | \n22 | \n12 | \n39 | \n8 | \n43 | \n
Sample size measured in this study.
All specimens are housed in Lee Kong Chian Natural History Museum and museum Zoologicum Bogoriense Indonesia.
Abbreviation | \nDefinition | \n
---|---|
PRS | \nProsthion: anteroinferior point on projection of premaxilla between central incisors | \n
PRS2 | \nProsthion2: anteroinferiormost point on premaxilla, equivalent to prosthion but between central and lateral incisors | \n
PMS | \nThe point where premaxillary suture crosses alveolar margin | \n
MP3 | \nMesial P3: most mesial point on P3 alveolus, projected labially onto alveolar margin | \n
MM1 | \nMesial M1: contact points between P4 and M1, projected labially onto alveolar margin | \n
MM3 | \nMesial M3: contact point between M2 and M3, projected labially onto alveolar margin | \n
DM3 | \nDistal M3: posterior midpoint onto alveolar margin of M3 | \n
PMA | \nMost posterior point of maxillary alveolus on the maxilla palatine | \n
NSP | \nNasospinale: inferiormost midline point of piriform aperture | \n
WPA | \nPoint corresponding lo largest width of piriform aperture | \n
NPM | \nMeeting point of nasal and premaxilla on margin of piriform aperture | \n
RHI | \nRhinion: most anterior midline point on nasals | \n
PMN | \nPremaxillary maximum superior PMS where premaxillo-maxillary suture meets nasal bone or aperture | \n
NAS | \nNasion: midline point on fronto-nasal suture | \n
GLA | \nGlabella: most forward projecting midline point of frontals at the level of the supraorbital ridges | \n
BRG | \nBregma: junction of coronal and sagittal sutures, on sagittal crest if necessary | \n
INI | \nInion: most posterior point of cranium, when viewed in the Frankfurt horizontal, be it on sagittal/nuchal crest or not | \n
OPS | \nOpisthion: posterior most point of foramen magnum | \n
LOC | \nMost anterior point on the occipital condyle along the margin of the foramen magnum | \n
AOC | \nOccipital condyle along the margin of the foramen magnum between POC and AOC | \n
Abbreviation and definition used in this study [27].
Frontal (left) and lateral (right) views of the generalized M. fascicularis skull, showing 20 landmark positions used in the analysis. Number and position of landmark points are applied with the same procedure in all species measured.
The box and whisker plot diagrams (Figure 3) exhibit two distinction profiles between Hylobatidae and Cercopithecidae. Island populations of H. lar and H. agilis show smaller craniolateral size to the mainland population. Noting that most island Hylobatidae population inhabits large-sized islands (Sumatra, Borneo, and Java); their comparatively smaller craniolateral size is seemingly hard to be explained by island rule, knowing that they occupy large-sized islands with shallow bathymetric barrier to the mainland. The presence of much higher-canopy rain forest in mainland may contribute to large-sized body proportion of Hylobates in mainland. The reversed results profiled in Cercopithecidae (M. fascicularis, M. nemestrina, and P. femoralis) (Figure 3). Given that Southeast Asian islands are geographically characterized with various sizes, latitudinal and longitudinal positions, maximum sea depth, and island-mainland distance, this condition arises to a consequence on more diverse insular adaptation that contributes to numerous variations in body size.
\nBox and whisker diagram showing the variation of craniolateral centroid size (CS) among five non-human primate species in mainland and island group.
For the last 30 years, benefited by the advanced methodology of molecular biology, the expansion of studies on primates of Southeast Asia have resulted in the increased number of taxonomic diversification [28, 29, 30], which was previously mostly explained by the superficial character (e.g., pelage color, tail length, and behavior) on the living taxa [2, 5]. Mainland and large islands have been claimed to correspond to the higher taxonomic diversity than islands [31]. With the wide span of area, mainland and large islands have a great advantage to develop more topographic diversity, formed as geographic barriers (e.g., peak, valley, river), linking to high possibility to allopatric speciation [32].
\nPrincipal component analyses (PCA) on the craniolateral shape of the five species share similarities in the wider shape variance of all three insular species (Figure 4). The mixed category between large-sized island and small-sized island in this study (Table 3) may strongly correspond to the higher craniolateral morphology, by considering (i) each isolated small island with unique geographical-ecological condition and different degrees of isolation may contribute to the shape modification, furthermore to endemism [12]; (ii) large islands may lead to various shape modifications, generated by various topographic-diversity-derived habitat variations [32]. Reflecting the wide variance morphology on three insular genera of this study, insularity does not gain merely on taxonomic diversity; furthermore strong individual differentiation within population or intraspecific variation could also possibly generated.
\nPlots of principal component PC1–PC2 displaying the variance between mainland and island population among five species observed.
Genera | \nSpecies/subspecies | \nIsland | \nLatitude | \nIsland size (km2) | \nIsland size category [33] | \nmax. elevation (m) | \n
---|---|---|---|---|---|---|
CONTINENTAL ISLAND | \n||||||
Ponginae | \n\nPongo pygmaeus [2] | \nBorneo | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nPongo abelii [2] | \nSumatra (north) | \n2°–4°N | \n473,481 | \nLarge | \n3805 | \n
\n | \nPongo tapanuliensis [34] | \nSumatra (north) | \n2°–4°N | \n473,481 | \nLarge | \n3805 | \n
Hylobatidae | \n\nHylobates moloch\n | \nJava (west) | \n8°–10°N | \n128,300 | \nLarge | \n3676 | \n
\n | \nH. albibarbis [2] | \nBorneo (south) | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nH. muelleri [2] | \nBorneo (north) | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
Cercopithecinae | \n\nM. f. atriceps [5] | \nKhram Yai | \n12.70°N | \n20,28 | \nSmall | \n219 | \n
\n | \nM. f. condorensis [5] | \nCon Son | \n8.71°N | \n51,52 | \nSmall | \n560.8 | \n
\n | \nM. f. mandibularis [5] | \nRiau Islands | \n2.50°–3.13°N | \n106 | \nSmall | \n959 | \n
\n | \nM. f. baweana [5] | \nBawean | \n5.80°S | \n196,27 | \nSmall | \n655 | \n
\n | \nM. f. karimoendjawae [5] | \nKarimun Jawa | \n5.85°S | \n71,2 | \nSmall | \n506 | \n
Colobinae | \n\nPresbytis natunae [2] | \nNatuna Besar | \n4°N | \n1720 | \nSmall | \n187 | \n
\n | \nPresbytis thomasi [2] | \nSumatra (north) | \n2°–4°N | \n473,481 | \nLarge | \n3805 | \n
\n | \nPresbytis frontata [2] | \nBorneo | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nPresbytis chrysomelas [2] | \nBorneo (north) | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nPresbytis hosei [2] | \nBorneo (northeast) | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nPresbytis rubicunda [2] | \nBorneo (east) | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
\n | \nTrachypithecus auratus [2] | \nJava | \n8°–10°N | \n128,300 | \nLarge | \n3676 | \n
\n | \nNasalis larvatus [2] | \nBorneo | \n8°N–2°S | \n743,330 | \nLarge | \n4095 | \n
OCEANIC ISLAND | \n||||||
Hylobatidae | \n\nHylobates klossii [2] | \nMentawai Islands | \n1.2°–3°S | \n268–4030 | \nSmall | \n384 | \n
Cercopithecinae | \n\nMacaca maura [2] | \nSulawesi (southwest) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca ochreata [2] | \nSulawesi (southeast) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca tonkeana [2] | \nSulawesi (central) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca hecki [2] | \nSulawesi (northwest) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca nigrescens [2] | \nSulawesi (north) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca nigra [2] | \nSulawesi (northeast) | \n0.3°N–5.3°S | \n174,600 | \nLarge | \n3478 | \n
\n | \nMacaca siberu [2] | \nMentawai Islands | \n1.2°–3°S | \n268–4030 | \nSmall | \n384 | \n
\n | \nMacaca pagensis [2] | \nMentawai Islands | \n1.2–3S | \n268–4030 | \nSmall | \n384 | \n
\n | \nM. f. umbrosa [5] | \nLittle Nicobar | \n7.32°N | \n140 | \nSmall | \n435 | \n
\n | \nM. f. tua [5] | \nMaratua | \n2.25°N | \n22,8 | \nSmall | \n94.18 | \n
\n | \nM. f. philippinensis [5] | \nPalawan | \n9.70°N | \n14,650 | \nLarge | \n2086 | \n
\n | \nM. f. philippinensis [5] | \nLuzon | \n16.9°N | \n110,000 | \nLarge | \n2922 | \n
\n | \nM. f. lasiae [5] | \nLasia | \n2.17°N | \n15,12 | \nSmall | \n69 | \n
\n | \nM. f. fusca [5] | \nSimeulue | \n2.65°N | \n2310 | \nSmall | \n567 | \n
Colobinae | \n\nPresbytis pagensis [2] | \nMentawai Islands | \n1.2–3°S | \n268–4030 | \nSmall | \n384 | \n
\n | \nPresbytis potenziani [2] | \nMentawai Islands | \n1.2–3°S | \n268–4030 | \nSmall | \n384 | \n
\n | \nSimias concolor [2] | \nMentawai Islands | \n1.2–3°S | \n268–4030 | \nSmall | \n384 | \n
List of modern non-human primate species/subspecies native to islands with the latitudinal position.
The category of island refers to the indicator of small island category (<12,000 km2) [34].
The isolation process on an island may lead to enforce the possibility of extinction in certain species [30]. For example, in Java Island, with area span 138,000 km2, three primate species (Homo erectus, Pongo pygmaeus, and M. nemestrina) occurred during Middle-Late Pleistocene, but finally disappeared [33] (Table 4). Harsh ecological condition (e.g., low carnivore-herbivore ratio and habitat change) on island will contribute to the adaptability of particular species. M. nemestrina, which is more terrestrial species than the survived species, M. fascicularis [27] (Table 4), is assumed to be less adaptive to avoid terrestrial and predators. Pongo, which is recently absent in Java Island and mainland, became extinct probably due to the deterioration of the habitat from tropical forest to more open environment [33] during Late Pleistocene to Holocene.
\nGenera | \nSpecimen | \nLocality | \nPleistocene | \nHolocene | \n||
---|---|---|---|---|---|---|
\n | \n | \n | Early | \nMiddle | \nLate | \n\n |
MAINLAND | \n||||||
Hominidae | \n\nHomo erectus all Zkd (but 5) [25] | \nZhoukoudian Caves, China | \n\n | 0.6–0.4 | \n\n | \n |
\n | \nHomo erectus Zkd 5 [36] | \nZhoukoudian Caves, China | \n\n | 0.4–0.5 | \n\n | \n |
\n | \nHomo erectus [37] | \nHad Pu Dai, Thailand | \n\n | ● | \n\n | \n |
\n | \nHomo erectus [37] | \nTham Khuyen, Vietnam | \n\n | ● | \n\n | \n |
\n | \nHomo erectus [37] | \nLang Trang, Vietnam | \n\n | ● | \n\n | \n |
\n | \nHomo sp. [37] | \nMa U’Oi, Vietnam | \n\n | ● | \n\n | \n |
\n | \nHomo sp. [37] | \nThum Wiman Nakin, Thailand | \n\n | ● | \n\n | \n |
Ponginae | \n\nGigantopithecus blacki [37] | \nGigantopithecus Cave, China | \n● | \n\n | \n | \n |
\n | \nGigantopithecus blacki [37] | \nJianshi, China | \n● | \n\n | \n | \n |
\n | \nGigantopithecus sp. [38] | \nBaikong, China | \n2.2 | \n\n | \n | \n |
\n | \nGigantopithecus sp. [21] | \nJuyuan, China | \n1.8 | \n\n | \n | \n |
\n | \nGigantopithecus sp. [38] | \nSanhe, China | \n1.2–1.6 | \n\n | \n | \n |
\n | \nGigantopithecus sp. [38] | \nQueque, China | \n<0.7–1 | \n≤0.7–0.8 | \n\n | \n |
\n | \nGigantopithecus sp. [38] | \nYangliang, China | \n● | \n\n | \n | \n |
\n | \nGigantopithecus sp. [37] | \nHad Pu Dai, Thailand | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus blacki [37] | \nDaxin, China | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus blacki [37] | \nWuming, China | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus blacki [37] | \nBama, China | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus blacki [37] | \nTham Khuyen, Vietnam | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus blacki [37] | \nTham Hai, Vietnam | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus sp. [37] | \nHeijang, China | \n\n | ● | \n\n | \n |
\n | \nGigantopithecus sp. [37] | \nShuangtan, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [37] | \nGigantopithecus Cave, China | \n● | \n\n | \n | \n |
\n | \nPongo sp. [38] | \nBaikong, China | \n>2.2 | \n\n | \n | \n |
\n | \nPongo sp. [38] | \nJuyuan, China | \n>1.8 | \n\n | \n | \n |
\n | \nPongo sp. [38] | \nSanhe, China | \n1.2–1.6 | \n\n | \n | \n |
\n | \nPongo sp. [38] | \nQueque, China | \n<0.7–1 | \n≤0.7–0.8 | \n\n | \n |
\n | \nPongo sp. [38] | \nYangliang, China | \n● | \n\n | \n | \n |
\n | \nPongo sp. [37] | \nHad Pu Dai, Thailand | \n\n | ● | \n\n | \n |
\n | \nPongo sp. [37] | \nTham Khuyen, Vietnam | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nThum Wiman Nakin, Thailand | \n\n | ● | \n\n | \n |
\n | \nPongo sp. [37] | \nDaxin, China | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nHoshantung, China | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nKoloshan, China | \n\n | ● | \n\n | \n |
\n | \nPongo sp. [37] | \nBama, China | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nTam Hang, Laos | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nTham Khuyen, Vietnam | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nTham Hai, Vietnam | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nPhnom Loang, Cambodia | \n\n | ● | \n\n | \n |
\n | \nPongo pygmaeus [37] | \nThum Wiman Nakin, Thailand | \n\n | ● | \n\n | \n |
\n | \nPongo sp.? [37] | \nKao Pah Nam | \n\n | ● | \n\n | \n |
\n | \nPongo cf. pygmaeus [37] | \nThum Wiman Nakin, Thailand | \n\n | ● | \n\n | \n |
\n | \nPongo sp. [38] | \nHei, China | \n\n | 0.3–0.38 | \n\n | \n |
\n | \nPongo sp. [38] | \nHeijang, China | \n\n | ● | \n\n | \n |
\n | \nPongo sp. [38] | \nTongzi, China | \n\n | \n | ● | \n\n |
\n | \nPongo pygmaeus\n | \nKeo Leng, Vietnam | \n\n | \n | ● | \n\n |
\n | \nPongo pygmaeus\n | \nHang Hum II, Vietnam | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nShuangtan, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nYixiantian, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nGonglishan, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nZhiren, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nNongbashankou, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nBaxian, China | \n\n | \n | ● | \n\n |
\n | \nPongo sp. [38] | \nLoushan, China | \n\n | \n | ● | \n\n |
Hylobatidae | \n\nHylobates sp. [38] | \nBaikong, China | \n2.2 | \n\n | \n | \n |
\n | \nHylobates sp. [38] | \nJuyuan, China | \n1.8 | \n\n | \n | \n |
\n | \nHylobates sp. [38] | \nSanhe, China | \n1.2–1.6 | \n\n | \n | \n |
\n | \nHylobates sp. [38] | \nQueque, China | \n0.7–1 | \n≤0.7–0.8 | \n\n | \n |
\n | \nHylobates sp. [38] | \nHei, China | \n\n | 0.3–0.38 | \n\n | \n |
\n | \nHylobates sp. [38] | \nHeijang, China | \n\n | 0.4–0.32 | \n\n | \n |
\n | \nHylobates sp. [38] | \nYenchinkou, China, China | \n● | \n● | \n● | \n\n |
\n | \nHylobates sp. [38] | \nSzechwan, China | \n● | \n● | \n● | \n\n |
\n | \nHylobates sp. [38] | \nNiah Cave, Borneo, China | \n\n | \n | ● | \n\n |
\n | \nHylobates sp. [38] | \nShuangtan, China | \n\n | \n | ● | \n\n |
\n | \nHylobates sp. [38] | \nYixiantian, China | \n\n | \n | 0.1 | \n\n |
\n | \nHylobates sp. [38] | \nGonglishan, China | \n\n | \n | ● | \n\n |
\n | \nHylobates sp. [38] | \nZhiren, China | \n\n | \n | 0.11 | \n\n |
\n | \nHylobates sp. [38] | \nBaxian, China | \n\n | \n | ● | \n\n |
\n | \nHylobates sp. [38] | \nLoushan, China | \n\n | \n | \n | ● | \n
Cercopithecinae | \n\nMacaca sp. [38] | \nBaikong, China | \n2.2 | \n\n | \n | \n |
\n | \nMacaca sp. [38] | \nJuyuan, China | \n1.8 | \n\n | \n | \n |
\n | \nMacaca sp. [38] | \nSanhe, China | \n1.2–1.6 | \n\n | \n | \n |
\n | \nMacaca sp. [38] | \nQueque, China | \n<0.7–1 | \n≤0.7–0.8 | \n\n | \n |
\n | \nMacaca sp. [38] | \nYangliang, China | \n● | \n\n | \n | \n |
\n | \nMacaca sp. [38] | \nHei, China | \n\n | 0.3–0.38 | \n\n | \n |
\n | \nMacaca sp. [38] | \nHeijang, China | \n\n | 0.4–0.32 | \n\n | \n |
\n | \nMacaca sp. [38] | \nShuangtan, China | \n\n | \n | ● | \n\n |
\n | \nMacaca sp. [38] | \nYixiantian, China | \n\n | \n | 0.1 | \n\n |
\n | \nMacaca sp. [38] | \nGonglishan, China | \n\n | \n | ● | \n\n |
\n | \nMacaca sp. [38] | \nZhiren, China | \n\n | \n | 0.11 | \n\n |
\n | \nMacaca sp. [38] | \nNongbashankou, China | \n\n | \n | ● | \n\n |
\n | \nMacaca sp. [38] | \nBaxian, China | \n\n | \n | ● | \n\n |
\n | \nMacaca sp. [38] | \nLoushan, China | \n\n | \n | \n | ● | \n
Colobinae | \n\nTrachypithecus sp. [38] | \nBaikong, China | \n2.2 | \n\n | \n | \n |
\n | \nTrachypithecus sp. [38] | \nJuyuan, China | \n1.8 | \n\n | \n | \n |
\n | \nTrachypithecus sp. [38] | \nSanhe, China | \n1.2–1.6 | \n\n | \n | \n |
\n | \nTrachypithecus sp. [38] | \nQueque, China | \n<0.7–1 | \n≤0.7–0.8 | \n\n | \n |
\n | \nTrachypithecus sp. [38] | \nHei, China | \n\n | 0.3–0.38 | \n\n | \n |
\n | \nTrachypithecus sp. [38] | \nHeijang, China | \n\n | 0.4–0.32 | \n\n | \n |
\n | \nTrachypithecus sp. [38] | \nShuangtan, China | \n\n | \n | ● | \n\n |
\n | \nTrachypithecus sp. [38] | \nYixiantian, China | \n\n | \n | 0.1 | \n\n |
\n | \nTrachypithecus sp. [38] | \nGonglishan, China | \n\n | \n | ● | \n\n |
\n | \nTrachypithecus sp. [38] | \nZhiren, China | \n\n | \n | 0.11 | \n\n |
\n | \nTrachypithecus sp. [38] | \nNongbashankou, China | \n\n | \n | ● | \n\n |
\n | \nTrachypithecus sp. [38] | \nBaxian, China | \n\n | \n | ● | \n\n |
\n | \nTrachypithecus sp. [38] | \nLoushan, China | \n\n | \n | \n | ● | \n
CONTINENTAL ISLAND | \n||||||
Hominidae | \n\nHomo erectus S4 [25] | \nSangiran, Java | \n0.99–1.5 | \n\n | \n | \n |
\n | \nHomo erectus S17 [25] | \nSangiran, Java | \n0.78–1.3 | \n\n | \n | \n |
\n | \nHomo erectus S12 [25] | \nSangiran, Java | \n1.2–0.98 | \n\n | \n | \n |
\n | \nHomo erectus S2 [25] | \nSangiran, Java | \n1.2–0.99 | \n\n | \n | \n |
\n | \nHomo erectus Smb [25] | \nSambungmacan, Java | \n≤0.78 | \n\n | \n | \n |
\n | \nHomo erectus Ng [25] | \nNgawi, Java | \n\n | ● | \n● | \n\n |
\n | \nHomo erectus Nd [25] | \nNgandong, Java | \n\n | ● | \n0.05–0.032 or 0.1 | \n\n |
\n | \nHomo sapiens [25] | \nPunung, Java | \n\n | \n | 0.0118 | \n● | \n
Pongidae | \n\nGigantopithecus sp. [39] | \nSemedo, Java | \n? | \n? | \n\n | \n |
\n | \nPongo pygmaeus [33] | \nPunung, Java | \n\n | \n | 0.125 | \n\n |
\n | \nPongo sp. [40] | \nLida Ayer, Sumatra | \n\n | \n | \n | ● | \n
Hylobatidae | \nHylobatidae [41] | \nTrinil, Java | \n\n | ● | \n● | \n\n |
\n | \nHylobates syndactylus [33] | \nPunung, Java | \n\n | \n | 0.0118 | \n● | \n
\n | \nHylobates sp. [40] | \nLida Ayer, Sumatra | \n\n | \n | \n | ● | \n
\n | \nHylobates sp. [40] | \nNiah Cave, Borneo | \n\n | \n | 0.04 | \n\n |
Cercopithecinae | \n\nMacaca sp. [38] | \nSangiran, Java | \n\n | \n | \n | \n |
\n | \nMacaca sp. [38] | \nPunung, Java | \n\n | \n | 0.0118 | \n0.008 | \n
\n | \nMacaca nemestrina [38] | \nSangiran, Java | \n1 | \n\n | \n | \n |
\n | \nMacaca fascicularis [38] | \nSangiran, Java | \n1 | \n\n | \n | \n |
\n | \nMacaca fascicularis [38] | \nCallao Cave, Luzon | \n\n | \n | 0.065 | \n\n |
\n | \nM. f. philippinensis [38] | \nIlle Cave, Palawan | \n\n | \n | ● | \n● | \n
Colobinae | \n\nPresbytis comata\n | \nSangiran, Java | \n\n | ● | \n\n | \n |
\n | \nPresbytis sp. | \nPunung, Java | \n\n | \n | \n | 0.01 | \n
\n | \nTrachypithecus auratus\n | \nSangiran, Java | \n1.9 | \n\n | \n | \n |
OCEANIC ISLAND | \n||||||
Hominidae | \n\nHomo cf. floresiensis [42] | \nMata Menge, Flores | \n\n | 0.7 | \n\n | \n |
\n | \nHomo floresiensis [24] | \nLiang Bua, Flores | \n\n | ● | \n0.06–0.1 | \n\n |
\n | \nHomo luzonensis [25] | \nCallao Cave, Luzon | \n\n | \n | 0.06 | \n\n |
Cercopithecidae | \n\nM. f. philippinensis [25] | \nCallao Cave, Luzon | \n\n | \n | 0.065 | \n\n |
\n | \nM. f. philippinensis [43] | \nIlle Cave, Palawan | \n\n | \n | ● | \n● | \n
\n | \nMacaca fascicularis [28] | \nTimor Island | \n\n | \n | \n | 0.007 | \n
List of fossil/subfossils of primate species/subspecies discovered in archeological sites throughout Southeast Asia.
Southeast Asia with wide span of latitude ranging from 6°N to 14°S is split by the equator line, demanding at least two comprehensive separations that require thermoregulation connection from the equator to southern and northern latitudes. Mammals of mainland Southeast Asia have been subjected to describe body size variation following thermoregulation effect, widely termed as Bergmann’s rule [6]. Concluding that Bergmann’s rule may occur within a species, it predicts that population in warmer climates (commonly referred to lower latitudes) have smaller mean body size than conspecifics in colder climates (generally marked with higher latitude) [6]. Published accounts applying this ecogeographical rule on non-human primates has been intensively investigated in the widely distributed species in Southeast Asia: M. fascicularis [4, 5, 10] and M. nemestrina [3]. The Bergmann’s rule was positively performed on northern pig-tailed macaques (M. leonina) [3, 6] and crab-eating macaques (M. fascicularis) [4, 5, 10] in the mainland, demonstrated by the increasing body size toward higher latitude.
\nInterestingly, anti-Bergmann’s rule appears north side of Kra Isthmus (the narrowest area differing Indochinese mainland and Malay Peninsula at 12.2°N) [4, 5]. Explanatory cause for this inversed Bergmann’s rule has not been uncovered. In response to this matter, M. fascicularis population from the northeastern localities that is bound by the geographic barrier of north–south oriented high topographic range of Tenasserim Hills most likely underwent different and unique ecomorphological adaptations to the rest of the western low land area of Indochinese mainland population. Due to the limitation number on available samples, to date, there is no further study testing this ecogeographical rule in this species or in other non-human primate taxa.
\nAlthough serious attempts to test Bergmann’s rule on insular non-human primates have increased, the result of the statistical analysis on the cranial size of southern pig-tailed macaque (M. nemestrina) surprisingly demonstrates anti-Bergmann’s rule [3]. However, insular M. fascicularis tested in western Southeast Asian archipelago [4, 5, 10] and large-sized islands of Sunda Shelf still shows constant Bergmann’s rule [27]. Taken together from observed results correlating non-human primate body size to thermoregulation mechanism in Southeast Asian archipelago, they frequently came as debatable subjects [6] because (i) most islands are situated in short range of latitudinal position referring to low temperature variation; (ii) the equator line that passes over or nearby most of the islands, both northward and southward, directs to similar typical tropical habitat; and (iii) each island is addressed to various unique insular geographical properties (e.g., island area, max. Depth separating to mainland, and island-island distance), which likely gives the stronger island effect than the latitude effect to the population. This aspect needs a more complicated operation when we apply Bergmann’s rule in islands than in mainland.
\nIn the context of conservative classification on island area, primate insularity has been investigated into categorization of area size, e.g., small and large island, which was directly calculated by metric size of island [31]. This ecogeographical rule implemented exclusively on island, commonly known as Foster’s rule, proposes that population of large-bodied mammals on island tend to have a smaller mean body size than mainland population (dwarfism), while small-bodied mammals become larger (gigantism) [6]. One suggested that, in the scope of insularity on Southeast Asian mammals, the small island criterion is defined by the island size <12.000 km2 [34] (Table 3). Without providing the specific primate species group, one suggested that primates follow island rule [19]. However, a study tested in body length of Macaca fascicularis found that island area and body length shows no significant relationship [10].
\nThe most spectacular evidences of dwarfism on extinct Homininae taxa are Homo floresiensis aged 60,000–100,000 years ago in oceanic island of Flores, Indonesia [11, 24], and Homo luzonensis (judging from the small molar) aged 66.700 ± 1000 years ago discovered in Callao Cave, Luzon Island, Philippines [25]. The consideration of island rule causing diminutive character on Homo luzonensis remains enigmatic, since Luzon Island is a large island (Table 3). However, the coexisted fossil macaque, M. f. philippinensis, which still occurs in modern western, eastern, and northern islands of the Philippines, suggests that it occupied the island since 160,000 years ago [5]. It permits the long duration of isolation that impacted not necessarily on body size reduction, but the possibility of endemism. Furthermore, insular dwarfisms that were reported on M. fascicularis in Bintan Island and Singapore are possibly caused by ecological effects, such as food limitation and high population density [6], not geographical effect such as island size.
\nAmong gibbons, diminutive body size has been presented by Hylobates klossii, an endemic species of four Mentawai islands (Siberut, Sipora, North Pagai, and South Pagai). There are few gibbons occupying small-sized island in continental Sunda Shelf (only found in Paku Island, collection of Lee Kong Chian Natural History Museum), because the small island usually tends to do not support the development of dense rain forest habitat with high canopy cover where gibbon is dependable to live [34].
\nResearchers have long endeavored to uncover the Foster’s rule in Southeast Asian archipelago [4, 5, 10], but most outcomes show no statistically significant results [11]. On exclusively M. fascicularis inhabiting shallow-water fringing islands over Sunda Shelf, small-sized island was found to contribute more to the variation of subspecies [4, 5] (Table 3). The implementation only using island size or the distance between island and mainland as a proxy is unlikely relevant to the test of Foster’s rule in Southeast Asian archipelago, neither. Deep bathymetric barrier possessed by oceanic islands (Table 3) convincingly appears as the main factor of island rule, followed by the unique island ecological condition in the duration of island isolation.
\nMainland Southeast Asia contains the high variation of non-human primate species. Recent molecular biological studies revealed critical systematics of non-human primates (i.e., Macaca [28, 29] and Hylobates [30]), showing the high intra- and interspecific variation. Topographic diversity in mainland Asia is likely correlated to the speciation process of animals [11, 35], and islands are not exception for this correlation. Historical change of paleobiogeography in large-sized islands (Sumatra, Java, and Borneo) over Sunda Shelf can be explained by Pleistocene volcanic activities caused by the geologic subduction between Sunda and Australian Plates.
\nIn Java, a chain of 38 mountains forming east–west spine with various slopes, illustrated by jagged highlands by alternating peaks and valleys, leads to classes of topographic diversity [35]. This phenomenon led the geographically separated populations to undergo allopatric speciation. According to the modern Javanese mammal fauna, the low topographic diversity in East Java resulted in less variation in endemic mammals than in the West and Central Java. This topographic profile is supported by the presence of two endemic non-human primate species/subspecies strictly occupying western Java forests; Hylobates moloch and Trachypithecus auratus auratus. This endemism also shows the high correlation with the number of natural parks in West and Central Java [32], which probably corresponds to the high soil fertility rates gained from the high-contained mineral of the eruption sediments.
\nConversely, a higher endemic mammal species diversity was more visible in East Java during the Middle Pleistocene, in the stage of Stegodon-Homo erectus [32]. Two Hominoidae taxa, Gigantopithecus sp. [39] and Homo erectus, co-existed in the eastern part of the island during the Middle Pleistocene (Table 4). It is also followed by the known primate fossils, including Trachypithecus auratus, Presbytis comata, M. nemestrina, M. fascicularis, Hylobates sp., and later Pongo pygmaeus in the Late Pleistocene [33, 44]. All cercopithecid species are comparable to extant species inhabiting Java Island, while Hominoidae taxa are all extinct. Gigantopithecus sp., Homo erectus, Pongo pygmaeus, and M. nemestrina, which have disappeared in recent Java Island, are assumed to indicate the incapability to adapt toward paleoclimatic changes resulting in habitat loss or ecological replacement from rain forest to open woodland and possible human intervention such as hunting. Although this result is likely related to excavation bias where most of the archeological localities are located in East Java [32, 37], the possible intraspecific variation is reported in Homo erectus, which is commonly discovered in eastern Java localities, specifically as craniodental specimens [25].
\nWith the numerous Homo erectus findings in Java Islands, it leads to the high morphological diversity [25] exclusively on cranial morphology. A comprehensive study on comparison of Homo erectus cranial morphology between island and mainland population has been investigated showing the peculiar distinction on mainland vs. island population. Zhoukoudian Homo erectus represents mainland population (Table 4), and the common ancestor of Javan Homo erectus demonstrates a less morphological variability to the Early Pleistocene Java Homo erectus (that mostly unearthed in Sangiran Dome), while Late-Middle Pleistocene Javan Homo erectus are reported to share similarities in cranial shape [25]. It is suggestive that the lower habitat vicariance in mainland during Middle Pleistocene and Java Island during Middle-Late Pleistocene indicates less genetic isolation. Taking this into account, geographic barriers such as volcanic mountains, added with the isolation of Java, might enforce high intraspecific variation during Early-Middle Pleistocene, supported by the extensive paleoclimatic change. Out of Sunda Shelf, the obvious record of this mechanism appears in Wallacea non-human primates inhabiting Sulawesi. High bathymetric boundaries to Sunda Shelf and the islands surrounding, and diversed topographic barrier of Sulawesi contributes to six endemic macaque species; Macaca nigra, Macaca tonkeana, Macaca maura, Macaca nigrescens, Macaca ochreata, and Macaca hecki that some of the species were found in the archeological cave Leang Burung 2 that occupied with the early human occupation on the island in Late Pleistocene.
\nTime by duration and particular period falls to the temporal scope of inhabitation of certain population on island is pronounced to impact body size evolution [12]. Higher duration of island isolation increases the chance for ecological release to influence functional characters (e.g., diet, locomotion, and bauplan) among species. The report on paleoinsular mammals has claimed that body size shift on island mammal species occurred when residence time reached more than 10,000 years [12]. While the evidences are prominently strong on terrestrial herbivores, including terrestrial primates (e.g., Homo floresiensis, 60,000–100,000 years ago [26]), it also evidently impacts the arboreal non-human primate species or subspecies (e.g., Macaca fascicularis and endemic primate species on Simeulue, Lasia, Nicobar, Mentawai Islands).
\nTypically expressed by the estimated dispersal chronology in Southeast Asian Archipelago, duration of island isolation shows the function of maximum sea depth separating island from mainland or neighboring large island, mainly in small-sized island. Some oceanic islands in the region (Simeulue, Lasia, Siberut, Sipora, North Pagai, South Pagai) remarked with bathymetric barrier more than 120 m (Figure 1) display clear effect of isolation than the shallow-water fringing island over Sunda Shelf. The shallow depth of Sunda Shelf sea floor (0–40 m) allows the emergence of exposed dry land that permits colonization, reversed colonization, or recolonization of the island which most commonly occur during the sea level drop during the Last Glacial Maximum (LGM), which reduces the optimum genetic isolation.
\nOn the level of subspecies, the long duration of island isolation appears to indicate the development of new intraspecific features in Macaca fascicularis inhabiting oceanic islands. Estimated from the last connection with the progenitor mainland species ca. 160 ka (gained from recent bathymetric barrier), some oceanic islands mostly located in western archipelago are interpreted to develop unique M. fascicularis subspecies, such as M. f. umbrosa in Nicobar Islands, M. f. fusca in Simeulue Island, M. f. lasiae in Lasia Island, M. f. tua in Maratua Island, and M. f. philippinensis in western, northern, and eastern islands of the Philippines. The subspecies variation also took place later in continental islands, with shorter island isolation duration started ca. <18 ka such as M. f. karimoendjawae in Karimun Jawa Island, M. f. atriceps in Khram Yai Island, and M. f. condorensis in Con Son Island, marking weak differentiation based on superficial characters [5].
\nAccording to the previous paleontological works on mammal evolution of Southeast Asia, there is no fossil evidence of primates before ca. 0.9 Ma in Java Island. The first colonization of primates to Java is estimated to occur at the end of Early Pleistocene, when Sunda Shelf fully emerged and then periodically entered Java via Siva-Malayan corridor route during Middle Pleistocene [33]. Along with the balanced mammal association, including Homo erectus, this period seemingly shows the suitable ecological condition for arboreal high-adapted non-human primates (Macaca, Trachypithecus, and Presbytis) to adapt to mainly open woodlands in relatively dry climate condition [33]. The long duration allowing the dry landmass that connected recent mainland and island during this period possibly permits the occupation access for a hominine species (elaborated as Homo cf. floresiensis [42]) to inhabit the oceanic island of Flores.
\nTo date, there is no chronological and geographical comparative study demonstrating body size of non-human primates between fossils and recent on Java Island. It rather revealed the similarities on morphological characters in accordance with the attempt in determining species. So, it was difficult to answer whether Middle Pleistocene non-human primates of Java are the continuously highly adapted species until recent or the extinct species that disappeared in the Middle Pleistocene like other mammals (including Homo erectus).
\nLate Pleistocene displays the rise of tropical rain forest non-human primates (Hylobates and Pongo) to develop in Sunda Shelf where the Chinese origin fauna enter to exhibit similar association to recent fauna [33]. Primate species/subspecies that became native to some oceanic islands (e.g., M. siberu, M. pagensis, H. klossii, P. potenziani, P. pagensis, and Simias concolor in Mentawai islands, M. f. condorensis in Nicobar Islands, M. f. fusca in Simeulue Island, M. f. lasiae in Lasia Island, and M. f. tua in Maratua Island). Considering the limitation of swimming ability (max. Swimming distance limit 100 m in M. fascicularis [5]) and large island-mainland distance, dispersal route to the oceanic island is most likely through corridor route over dry landmass, furthermore by passive dispersal, such as natural rafting [5]. The dispersal scenario passing deep sea barrier to reach oceanic islands of Lesser Sunda presumably occurred by human transport during <4.5 ka [5], because swimming is not possible due to the strong sea current in Lombok Strait. This data is supported by the presence of M. fascicularis remains in archeological cave aged ca. 7 ka in Timor Island [5, 27].
\nWith limited connection to the diverse mainland fauna, isolated island promotes the poor taxonomic diversity and the imbalanced rate between herbivores and carnivores. Small island has been claimed to reduce the sympatric speciation than large island [31]. This condition drove a disharmonic inter- and intraspecific variation [12]. For instance, in severe ecological condition when food resources are limited in long duration, the large-bodied species tends to expand their territory where small-bodied species fails to compete and being enforced to undergo stronger dietary adaptation. This response to ecological condition led to a radiation into different size classes and morphotypes, which arrives to appear in the form such as anatomical modification (e.g., dental pattern, size, and shape of limb bone) causing genetic radiation [12].
\nIn most case, this disharmonic taxonomic diversity condition dropped the survivability. The heavily impoverished condition leads to some species to extinction, for example, in all Late Pliocene-Early Pleistocene (Sinomastodon-Megalochelys stage) species in Java and large- to intermediate-bodied fauna in Flores Island in Late Pleistocene. It is followed by imbalanced condition where the normal ratio between carnivores and herbivores is high. Predator avoidance is suggested to cause the limb bone modification. A species that is not threatened by the carnivores might not often walk and run leading to the less development of limb bones.
\nThe vegetation type of an area derives from mean temperature caused from latitudinal position, geographical topography, seasonality by monsoon, and geological sediments. During Quaternary, the fluctuating temperature prominently contributes to habitat changes. The ecological shift from tropical rainforest to more open environment in Early-Mid Holocene resulted in biodiversity loss in non-human primates; for example, it is shown by the disappearance of Presbytis comata (Javan langur) in eastern Java that was previously found in Braholo Cave, East Java (Late Pleistocene to Mid Holocene) [45], and the extinction of Pongo in Java that was formerly discovered in Punung rockshelter, East Java (Late Pleistocene) [46, 47, 48]. This open environment niches created the mosaic ecological niche in eastern Java [45, 49] that enforced the early Homo sapiens inhabiting Java to hunt the remaining arboreal fauna including non-human primates as food resources. Archeological evidence depicting Homo sapiens that consumed monkeys (Macaca, Presbytis, and Trachypithecus) are also discovered in Song Terus cave in the period from 9000 to 5000 years ago [50] and Niah Cave, Borneo [51]. Further ethnographic account resembling this phenomenon is found as butchery marks and burnt bone fragments on cercopithecids assemblage in Punan Vuhang, Sarawak, Borneo [52].
\n\n
Prefigured by many geographic properties, bathymetric barrier presents to appear as the strongest casual effect in enforcing island isolation in Southeast Asian Archipelago, expressed by the high degree of endemism in level of species in oceanic islands (i.e., Homo floresiensis in Flores Island and six non-human primates in Mentawai Islands). Vicariance geography in any form of barriers (e.g., mountain and river) could create allopatric speciation or endemism; however bathymetric barrier on island extraordinarily emerged in different process. The higher sea depth caused the higher chance for island population to disconnect more to the original continental population.
The duration of island isolation widens to promote the evolutionary results that yield the island ecological mechanism becoming intensified. The higher time cost on ecological factors such as selective pressures and predator avoidance could escalate the chance for anatomical feature to be modified. Although it is hard to know the absolute duration of island isolation, the relative isolation can be seen from the present bathymetry showing the predicted terminal time for body of water to cover the maximum depth that stop the connection from mainland to surrounding islands. Constituted by this concept, oceanic islands with high bathymetric barrier will definitely prolong the disconnection signal from mainland than continental islands.
When we control geographical and chronological isolation factors, the two main island ecosystem factors, faunal association and vegetation type, strongly contribute to the change of body size and shape, resulting in a higher island effect. Patterns impacted by this ecosystem factors are not the same in all islands. The imbalanced condition on fauna between the number of herbivores and carnivores and less interspecific faunal diversity could lead to the body size shift and anatomical modification. On primates, oceanic islands located near the equator covered with the densely tropical rain forest gave less likely island effect (e.g., Mentawai Island and Simeulue Island) than in oceanic island with drier and more open environment where resource is less abundantly available (e.g., Flores Island).
Latitudinal factor is clear to be seen in the mainland. While each island holds unique geographical properties directing to isolation (e.g., bathymetric barrier and island size), most Southeast Asian islands that are located around the equator with tropical weather resulting in major rain forest cover and short latitudinal range rather rise to contribute to more diverse body size and body shape longitudinally. Thus, Bergmann’s rule is seemingly irrelevant to be evaluated in such condition.
The primates of Sunda Shelf occupying the great number of islands scattered in large scale area did not perform any pattern in regard to correlation between body size and island size. Potential causal relation to island size is more manifested in the increasing taxonomic diversity. Large-sized islands throughout Sunda Shelf hold higher diversity in anatomical variation than in small-sized island. It is supposedly due to the combination of possible isolation-derived process by geographic or ecological barrier and the resiliency of relict species along many stages of period. This circumstance is conceivably reassured from the Quaternary through recent, for example, the high diversity of calvarium morphology seen in Homo erectus of Java Island and the occurrence of four varied living Presbytis species in Borneo Island.
Endemism featured on non-human primates in continental islands of Sunda Shelf mostly direct to the resilience of relict groups occupying the island, not necessarily in response to a long-term island isolation process. In the level of species, this premise is endorsed by the existence of a single taxon occupying large islands (e.g., P. abelii in Sumatra, P. pygmaeus in Borneo, H. moloch in Java). Smaller continental islands bordered by relatively higher bathymetric barrier could possibly produce the isolation-derived endemism process in the level of subspecies (e.g., M. f. baweanus in Bawean Island and M. f. karimoendjawae in Karimun Jawa Island).
The author is indebted to Maharadatun Kamsi, the curator of vertebrate collection of the Museum Zoologicum Bogoriense, Indonesian Academy of Sciences (LIPI), as well as Kelvin Lim, the collection manager of Lee Kong Chian of Natural History Museum, National University of Singapore. I also wish to thank Dr. Tsuyoshi Ito for helpful suggestion in biostatistics work and data analysis and Thomas Priyo Ertanto, who drew the map in this publication. This research was financially supported by The Asahi Glass Foundation to HI (ID: 2017-F-06). We further thank Mao Asami, Indra Sutisna, Akhmad Herdiyanto, Nanang Supriatna, and Kurnianingsih for support during sample collection and laboratory work.
\nThe authors declare no conflict of interest.
Fungal spores and fragments usually in the sub-micrometer size range can be released from contaminated materials into air, and if inhaled, may cause adverse health effects for people and animals [1, 2, 3]. There is increased interest in the role of aerosolized fungal spores and their submicrometer fragments in adverse effects considering the strong association between the numbers of fine particles and adverse health effects [4, 5, 6, 7]. Furthermore, fungal exposures are receiving increasing attention as an occupational and public health problem; this is due to the high prevalence of fungal contamination in buildings. Dampness and moisture-related problems are the main sources of fungal contaminations [8, 9] in homes and other domestic dwellings [10] as well as schools [11].
Fungal spores and fragments are one of the most common classes of airborne biological aerosols in many indoor environments and they form part of the complex community of indoor biological agents [12, 13, 14, 15, 16, 17]. Most of these particles are encountered in indoor environments where we spend about 90% of our time [18]. Because of this, it is important to determine the sources of these fungal spores and their fragments in such environments. Fungi from damp indoor environments are known to be one of the main causes of degradation of indoor air quality and can pose a serious health hazard to occupants [19, 20]. The submicrometer fragments are of utmost importance, because they tend to stay longer in air, and are easily inhaled. The smallest fragments (>0.1 μm) can deposit deep in the respiratory tract having the potential for causing adverse health effects [21, 22, 23]. Furthermore, the large surface area of the fragments relative to their mass may evoke high biological activity [22].
The high number of released fungal fragments in combination with their potential to deliver harmful antigens and mycotoxins to the alveolar region of the lung suggests the need for their characterization. Furthermore, the properties of spores and fragments released from fungal growth are dependent on the type of materials, the species of fungi, the cultivation time as well as the air volume passing over the growth. The characterization of fungal particles is important to help us understand the potential health effects associated with the exposure [21, 24]. Fungal spores are considered the most abundant fraction of these particles; they have an aerodynamic diameter (da) in the size range of 1–10 μm [25].
Indoor air, like outdoor air, has many sources of contaminants that affect health adversely. However, it is not clear which source is associated with the adverse health effects. As earlier explained, because we spend most of our time indoors, it is important to characterize fungal fragments based on their origin since this knowledge can improve our understanding of the potential adverse health effects associated with exposure to these particles.
It has been estimated that dampness and mold growth can be detected in most home as reviewed by Mudarri and Fisk [26] and have been associated with increases of 30–50% in several respiratory and asthma-related health outcomes [27]. Furthermore, approximately 8–18% of cases of acute bronchitis and 9–20% of respiratory infections are estimated to occur in environments contaminated with fungi [28].
The review of Samson et al. [29] claimed that floods, wet seasons, thermal modernization of residential buildings, air-conditioning systems, construction or material faults, and poor and improper ventilation are the major reasons for increase in the relative humidity and dampness of materials in the indoor environment. When moist conditions are prolonged in indoor environments, for example, when building materials stay damp for a long time, then the growth of microbes is promoted and there is an increased risk of microbial contamination [29, 30, 31]. In addition, certain characteristics of the home [32] as well as personal activities of its occupants [33] influence the microbial profile in indoor environments.
Generally, a wide range of fungal species may be encountered in the indoor air. For example, Zyska [34] surveyed the available literature and compiled a list of more than 200 fungal species present in air or growing on structural materials in indoor environments and therefore likely to contribute to the airborne fungal burden. Fungi in indoor environments can be inhaled and exposure via the airways is especially problematic. Furthermore, the presence of fungal particles has been linked to many diseases and symptoms among the occupants of moisture damage buildings [9, 19].
There are several sources of fungal particles in the indoor environment. This includes fungal particles exclusively generated from indoor sources and those that infiltrate from the outdoor environment as shown in Figure 1.
Schematic diagram showing the sources of fungal particles in the indoor environment [3]. Reproduced with permission from Yamamoto et al.
Fungi found indoors may be from different sources. However, the majority (70–80%) of indoor fungal aerosol and fugal allergens (80%) are generated in the indoor environment [3]. In a study by Adams et al. [35], they observed that fungal composition indoor was related to dispersal from the outdoor environment and are passively collected by indoor surfaces, although they rarely grow on the surfaces.
In addition to the above, the basic characteristics and parts of a building can also affect the emergence of fungi. Different researches including Despot and Klarić [36] and Toyinbo et al. [37] have associated buildings with basements with the emergence of indoor mold. This may be due to the high humidity and cold temperature in the building basement. The high humidity and/moisture content may occur from leaky pipes or cracks in the basement walls that allow ground water to penetrate the basement. Another source of moisture in the basement is flooding which makes water to move down to the basement and usually dry at a slow rate due to lack of adequate ventilation. This creates a favorable condition for fungal growth. The kitchen and bathroom sections of a building may also encourage the growth of fungi since these places have a high moisture content and substrates [38].
Outdoor generated indoor fungi enter a building through the ventilation system. This can be a mechanical ventilation system without adequate air filter for pollutants or through a naturally ventilated building with open windows and doors where outdoor to indoor ratio of pollutants can be close to unity. A ventilation system can also be a reservoir for indoor fungi especially when the ducts and filters are dirty with dust that serves as a substrate for fungi growth [39]. A DNA-based analysis of air handling unit filters by Luhung et al. [40] shows diverse genera of fungi, which includes Cladosporium, Aspergillus and Lentinus. Oil residues in ventilation ducts can also trap dusts and serves as a source of nutrients for fungal growth that can be transferred indoor through the ventilation system [39].
The health effects associated with fungal exposures may be caused by the fungi themselves, fungal mycotoxins, and fungal cell wall components or metabolically produced volatile compounds. The health effects can be categorized into three groups: (1) infections, which are caused mostly by the viable cells; (2) allergic reactions, which are usually caused by both viable and non-viable cells and components of the cell wall of the fungi if they carry antigens and (3) toxic responses, usually in response to the mycotoxins produced by the fungi.
Exposure to fungal particles has been linked to a range of adverse health effects [41]. For example, exposure to fungi has been associated with the onset of asthma in both infants and adults [42, 43, 44, 45, 46, 47].
There is convincing data in the literature suggesting an association between moisture damage in a building and the incidence of diseases such as new asthma cases, current asthma, respiratory infections, cough, allergic rhinitis, eczema and bronchitis [2, 42, 43, 46, 47, 48, 49]. In contrast, quantitative assessments have not detected any consistent associations between fungal measurements and adverse health effects. Nevertheless, limited or sufficient associations have been documented between the fungal concentration in dust by qPCR, cultured airborne fungi sampled from indoor air as well as several microbial compounds such as ergosterol, endotoxins and beta-glucans in dust and adverse health effects [50, 51, 52, 53]. There is credible scientific evidence to support the association between moisture damage, visible fungal growth measured indoors and adverse health effects. The World Health Organization (WHO) has stated that approximately 25% of residents in social housing stocks are prone to experience elevated health risks associated with their exposure to indoor molds.
Fungi are eukaryotic organisms that lack chlorophyll and obtain their nutrients from the growth media by the use of enzymes that they secrete. On the other hand, molds are filamentous fungi that grow with branched multi-cellular filamentous structures called mycelium [54]. In general, fungi are characterized by a visible vegetative body or a colony composed of a network of threadlike filaments which infiltrate the materials on which they feed. Fungi are usually saprophytic in nature; thus, they obtain nutrients from dead organic matter provided there is sufficient moisture. They can live off many of the materials present in the indoor environment such as wood, cellulose, insulations, wallpapers, glue and everyday dust and dirt [55, 56, 57]. Thus, fungi have the remarkable capability to degrade almost all natural and man-made materials [15, 58, 59] especially if they are hygroscopic [10, 60]. Fungi obtain nutrients by releasing extracellular enzymes and acids that break down the materials prior to their absorption. In the process, particles, including microbial degraded materials as well as gases, especially microbial volatile organic compounds (MVOCs), are released into the environment [61].
The MVOCs may form sub-micrometer particles through a process of secondary aerosol formation [61, 62]. These sub-micrometer particles have been shown to be aerosolized into the indoor environment following exposure to the effects of airflows and vibration [62, 63] Figure 2.
Schematic diagram showing the growth of fungi on a material surface with the subsequent release of particles of the fungal growth [64]. Reproduced with permission from Morse and acker.
Distinct characteristics of the growth material can play an important role in the creation and accumulation of moisture which eventually lead to mold growth on their surfaces [65, 66]. For example, when building are constructed with very good insulations in order to reduce heat loss and improve thermal performance, the several layers of insulation prevent easy movement of air in and through the building materials leading to accumulation of moisture within the building materials as well as the building. Consequently, the building becomes a microbiological reservoir and a contributor to the microbial exposure due to their ability to absorb and accumulate moisture [67].
Due to the heterogeneous nature of new buildings, there are varieties of materials that serve as micro-niches, that is, they have a favorable temperature, water activity (aw) and relative humidity (RH). For example, the surfaces of affected building materials (such as concrete and ceramic tiles in moist walls, ceiling tiles, dust laden wooden furniture) create specific niches suitable for the growth of microorganisms including bacteria and fungi. As expected, the climate within the building varies from one part of the indoor environment to the next. Thus, fungal growth would also be predicted to vary with the microclimate created. Moisture damage and dampness in buildings often affect a variety of structural components of building materials, leading to a deterioration of the indoor air quality.
Water-damaged building materials, particularly those rich in organic matter, can support microbial growth if they remain wet for a prolonged period of time [55, 59]. Under certain required conditions such as temperature, nutrient and pH conditions, microbial growth can occur within an hour [24]. Nonetheless, the principal limiting factor is the availability of moisture [55, 68]. It has been established that the lowest RH of a material at which fungi can grow is in a range around 75–80%, which corresponds to a water activity (aw) of 0.75–80 [55, 69, 70]. The moisture of the substrate that is available to the fungi for growth is the so-called free water and this amount is influenced by the relative humidity of the surrounding air. This does not include bound water that is a component of the chemistry of the substrate [24]. Moisture sources for fungal growth on materials indoors may be internal or external with moisture movement into and through building cavities by convection, gravity or capillary action.
Pasanen et al. [71] found that relative humidity values of 70–90% are required if there is to be fungal growth on building materials. Furthermore, the relative humidity required for growth depends on the particular material and the fungal species involved. Since most materials are porous in nature, adsorption of water into the materials first occurs via the pores before the material surface and become available to the microbes. Thus, porous materials support fungal growth when their RH is higher than 80% [68]. These conditions influence the extent of colonization and the types of fungi that will be present, since any changes in moisture availability will change also the composition of the microbial species present in that environment. For example, certain species of Penicillium, Erotium and Aspergillus grow in relatively dry environments with RH between 75 and 85% (e.g., in settled house dust on material surfaces with a relatively low RH). As RH increases, different species such as Basidiomycetes and Eratonium begin to grow, requiring continuously wet substrates such as soaked wallboard with RH range of 80–90%, while others like Fusarium, Cladosporium and Stachybotrys only grow at RH exceeding 90% [29, 70, 71, 72, 73].
In addition to humidity and water, fungi need adequate nutrition and temperatures to grow. The availability of nutrients depends on the composition of the building material. Building materials like wood and ceiling tiles are organic in nature; they contain complex polymers like starch, cellulose and lignin. These components are broken down by the extracellular enzymes of the fungi into simple sugars, amino acids and other simple nutrients [74, 75]. As fungi can utilize many complex polymers, a wide range of materials can act as nutrient sources.
Fungi can grow over a wide temperature range (5–39°C), [76]. However, at low temperatures (0–5°C), the fungal metabolic activities necessary for growth are slowed down, rendering the fungi dormant until an optimum temperature is reached [77]. At a higher temperature (34–36°C) the metabolic reaction rates increase and at temperatures above 46°C, the fungi become stressed and die [78]. This is because most of the activities of the fungi are dependent on DNA and enzymes. Due to the above, the concentration of fungi is usually high during the summer season as compared to winter season [79].
Fungal growth on building materials is dependent on the chemical composition of the materials [58]. The most susceptible materials to microbial growth and biodegradation are those with a natural organic composition, for example, wood and paper. These materials contain starch, cellulose and hemicellulose, pectin and lignin [74, 80, 81]. Based on these components, a wide variety of materials are potentially suitable for supporting fungal growth [15, 58, 59].
Buildings contain a wide variety of materials that affect the germination and growth rate of fungi [82]. Thus, each material serves as a niche for a specific microorganism, depending on the composition of the material, water activity and nutrient content [58, 83]. These properties of the building materials determine the diversity and extent of growth of the microbes [84, 85].
Wood remains the most extensively used material in buildings [81, 86]. Wood is able to absorb and retain water and moisture from both standing water and the environment [81, 87]. This characteristic in addition to the high nitrogen-bound compounds and low molecular carbohydrates that are transferred to the wood surface during processing mean that wood is very susceptible to fungal growth [87]. For example, a study by Meklin et al. [88] found school constructed with wood to have a higher concentration of fungi (5–950 cfu/m3) than those constructed with concrete (<2–5 to 500 cfu/m3). Although concrete is also hygroscopic, it has a low moisture permeability which reduces its rate of degradation and it contains very little or no nutrient for fungi growth [89]. Fungal species commonly found on moisture-damaged wood include Aspergillus versicolor, Penicillium brevicompactum, [81, 84, 85].
Gypsum board, on the other hand, is mostly used as the inner wall liners in buildings [90]. The paper liners used to reinforce the gypsum core makes gypsum board susceptible to fungal growth. Since the inner core (gypsum) is able to retain water and make it available to the surface paper lining, there can be a prolonged presence of water and moisture required to sustain fungal growth [10]. While the inner core (gypsum) may not be susceptible to fungal growth, the glue and paper serve as good media due to their organic nature [91]. The fungal species routinely found on gypsum board are the cellulolytic Stachybotrys chartarum [70] and Cladosporium cladosporioides [91].
Plastic materials are also becoming a common material used in buildings, as either sheets or pipes. As sheets, they are used as material envelopes, which insulate the building. Though plastics are known to be resistant to microbial attack because microbes do not possess any enzymes capable of degrading synthetic polymers [92], the addition of plasticizers can make the plastics susceptible to microbial growth [93]. These plasticizers are commonly organic acid esters such as dioctylphthalates (DOP) and dioctyladipate (DOA) which are added to the polyvinyl chloride (PVC) to modify the polymer’s physical or mechanical properties [93].
Glass fibers used in insulation materials do not support fungal growth. However, the glue used as binders does contain nutrients that may promote fungal growth [90] since these glues can be synthetic or plant-based. For example, the urea-based derivatives, polyurethanes, which are used as binders, are known to support fungal growth [94]. Plant-based binders are also used in binding certain building materials such as plywood, and ceiling tiles and may contain nutrients suitable to allow fungal growth.
All materials, both organic and inorganic, are able to sustain fungal life especially when the materials have dust, dirt or other deposits on their surface which represent sources of carbon and nitrogen [56, 57]. Dust is known to contain microorganisms, debris and other animal or insect parts that serve as nutrients for fungal growth [95]. Thus, more growth is observed on materials with dust on their surfaces compared to those without dust [56, 96]. Furthermore, settled dust or soil alters the water absorbing and retentive characteristics of the material surface, making the material surface continually moist, conditions in which fungi thrive [10]. Dust absorbs water from the atmosphere. It has been shown that dust competes with the material surface for moisture, with the dust holding more water due to its more hygroscopic nature. Therefore, dust may promote fungal growth even on materials that naturally would not support microbial growth [56, 57]. It is therefore important for indoor surfaces to be continually cleaned to avoid fungal growth and any health effect associated with it.
Forces such as turbulence, temperature, air velocity, vibration and zone of convection are usually associated with the release of fungal spores and hyphae from fungal colonies. In addition, factors such as the maturity of the colony, changes in temperature, relative humidity over the culture surface, light periods, nutritional composition of the substrate and the specific fungal species will determine the frequency and the number of spores that will be liberated and transported into the air at any given time. Furthermore, the dispersal of the fungal particles depends upon their size, shape, roughness, density, electrostatic charge, air movement and activities that influence the circulation of the air [24].
Release of fungal particles usually occurs by two mechanisms; active and passive release [68]. Active release refers to an adaptive type of particle aerosolization, via forces arising inside the fungi attributable to a burst of energy by a mechanism known as osmotic pressure and surface tension discharge [97]. Passive release occurs by energy originating from outside the fungi, such as mechanical disturbances of the fungal colonies by mechanical handling, vibration or air currents. The latter forces can also cause secondary release of settled spores from surfaces. Activities that have been shown to increase fungal spore concentrations in indoor air include daily activities such as vacuuming, sweeping, walking etc. [98, 99, 100, 101, 102, 103].
During fungal growth and sporulation, as well as when the culture is in a dormant phase, spores and bioactive agent containing fragments are released into the indoor environment [21, 61, 104, 105, 106, 107]. As mentioned earlier, hyphal fragments are of high importance since they make up about 6–56% of the total fungal particles based on microscopic sample analysis [108, 109]. Aerosolized fungal particles in chamber studies have shown that fungal fragments are released at levels up to 514 times higher than spores [21, 61, 106, 107, 110]. In other studies, Li and Kendrick [111] used microscopic counting and found that hyphal fragments accounted for only 6.3% of the total number of fungal particles in indoor environments. In addition, by applying a biomass determination, Adhikari et al. [112] detected lower amounts of β-N-acetylhexosaminidase (NAHA) enzyme in fungal fragments <1 μm compared to spores >1.8 μm.
Though both types of particles (spores and fragments) released from the fungal cultures during aerosolization are potentially harmful, the fragments are of greater importance since they tend to suspend longer in air than the spores [61, 62, 106, 107, 113]. They also have a tendency to penetrate deep into alveolar regions of the respiratory tract when inhaled [21, 114]. Cho et al. [21] have used a computer-based model to assess the deposition of spores and fragments of A. versicolor and S. chartarum in the respiratory tract. For both fungi, they found that the vast majority, 65–90%, of inhaled fungal spores deposited in the nasal and extra thoracic regions while only 3–15 and 2–5% of the spores deposited in the alveoli-interstitial and bronchial-bronchiolar regions, respectively. They also demonstrated that about 60% of fungal fragments deposited in the alveoli-interstitial region with 14–15% being trapped in the nasal and extrathoracic regions. It can therefore be deduced from the above modeling analysis that the different deposition efficiencies could have consequences on the potential adverse health effects induced by inhaled fungal particles of different sizes.
Fungal fragments have been shown to contain antigens [61, 62], allergens [5, 115, 116], mycotoxins [23, 117], and (1 → 3)-β-D-glucans [23, 52]. Their size in relation to their numbers and their biological properties all contribute to their potential to evoke adverse health effects. It is known from atmospheric studies investigating the adverse health effects of ultrafine particles that it is the number concentration rather than mass concentration which is important [118, 119].
Different fungal species have characteristic structures and thus behave differently when they become airborne. In addition, the growth substrate providing the nutrients for the fungi may also affect the properties of the spores and fragments and could contribute to fragments released from the biodegradation of the substrate itself during fungal metabolism. The amount of fungal particles released may also depend on the type of substrate and the conditions under which the fungi were grown. It is very important to evaluate spore properties under a variety of conditions in order to gain insights into the contribution these factors have on the adverse health effects produced by these particles.
One of the ways fungal particles are characterized is by their properties when they are released from contaminated materials. The particles released are affected by the growth substrate, fungal species, age of the culture and air velocity to which the cultures had been exposed [120]. The same factors affected the fragment/spore (F/S) ratios [121].
Biological particles are usually distinguished from non-biological particles by their ability to fluoresce when excited with photons at a certain wavelength. The fluorescence property is based on molecules such as tryptophan, tyrosine, or phenylalanine, reduced nicotinamide adenine dinucleotide (NADH), and nicotinamide adenine dinucleotide phosphate (NADPH) as well as riboflavins, flavin adenine dinucleotide (FADH) and flavin mononucleotide (FMN). Depending on the conditions under which the fungi grow, differences in fluorescence properties are observed. For example, spores obtained from cultures on building materials, such as, gypsum board, have been shown to have lower fluorescent properties than spores from agar. This indicates that cultures growing on nutrient poor substrates contain less compounds capable of fluorescence. Studies by Agranovski et al. [121] and Kanaani et al. [122] measuring fungal amounts from agar using fluorescence measuring devices in laboratory settings resulted in good detection efficiency of the instruments. However, the use of fluorescence properties may underestimate the concentration of fungal particles due to influences of nutrient availability on the growth of the fungi.
The type of species also affects the fluorescence properties. For example, lower fluorescent particle fraction (FPF) values have been observed for C. cladosporioides compared to A. versicolor and P. brevicompactum [120, 123]. The structure of the spore plays a major role in allowing devices to measure fluorescence properties. C. cladosporioides has a dark-skinned coating preventing impinging photons from penetrating to reach the exterior pigments to excite fluorescence from internal fluorescence. It can be deduced that C. cladosporioides concentrations may be underestimated in field measurements.
In recent study by Mensah-Attipoe et al. [121] and Afanou et al. [104], they observed that A. versicolor produced a higher F/S-ratio compared to C. cladosporioides and P. brevicompactum. The increased sub-micrometer fragments from A. versicolor can be attributed to the outer-wall spines, which are easily sheared away during sampling.
Studies have shown that the type of material and nutrient affects how much particles are released [120, 121]. For example, the fragment/spore ratio (F/S) for agar was higher compared to wood and gypsum board. Seo et al. [124] observed a higher F/S ratio for A. versicolor cultivated on agar than on gypsum board and ceiling tiles. Generally, higher concentrations of fungal particles are aerosolized from dry surfaces with low moisture contents than wet surfaces with high humidity [62]. Agar may have a different moisture content and moisture dynamics during the fungal growth than wood and gypsum board. During growth, the moisture content becomes reduced [23] and it is possible that agar loses more moisture than wood and gypsum. Therefore, fungal growth on agar undergoes desiccation stress and releases more fragment particles than when it grows on wood and gypsum board.
It has been observed that fragment/spore ratio (F/S) increases with increasing age of the culture. Moisture content of wood and gypsum increases with incubation time. Therefore, before aerosolization can yield enough particles, the material must be dried. With differences in the absorption and retention of moisture by the various materials, fungal biomass is also affected and hence affects the release dynamics of fungal particles from the material surfaces. Seo et al. [124] demonstrated that F/S increased with age. They attributed the increase in particle release from older cultures to changes in fungal biomass and moisture content. Dryness on the surface of the culture increases the aerosolization of fungal particles by reducing the adhesion forces between the fungal structures and making these structures more brittle [124]. Therefore, it has been concluded that with time, fungal growth in buildings may increase the contribution of sub-micrometer-sized fungal fragments to the overall mold exposure [124]. Spores aerosolized from older cultures displayed lower fluorescence than younger cultures. Kanaani et al. [125] reported a decrease in fluorescence emitted by Penicillium and Aspergillus from 2 days to 21 days. They suggested that fluorescent intensity of biomolecules such as nicotinamide-adenine dinucleotide phosphate NAD(P)H and surrogates of metabolic function such as riboflavin found in fungal spores may vary according to the environmental conditions under which the fungal colonies are growing and also on their concentration at a particular point in time. The decrease in fluorescence with age could also be due to changes in the fluorescent compounds as the culture ages.
Concentration of fungal spores and fragments has been shown to increase with increasing air velocity, but the F/S ratios decreased with increase in air velocity. A decrease in fluorescence per spore was observed when the air velocity was increased. It is also possible that as larger particles are carried along with the increased air currents in the sampling lines, they impact on the sides of the walls resulting in the breakage; as posited by Afanou et al. [104, 105].
Fragments have been proposed to be secondary organic aerosols formed from MVOCs released from fungal growths (secondary formation of aerosol particles) [61]. If fragment particles are formed by this mechanism in the presence of ozone, the concentration of fragments should decrease with higher flow rates due to their increased dilution. However, the opposite was observed by Mensah-Attipoe et al. [121], meaning that secondary aerosol formation may not be a relevant process for origin of fungal fragments. Instead, fragments are mainly formed through mechanical processes. It has been shown that fungal fragments are aerosolized at low air velocity [61]. Studies by Mensah-Attipoe et al. [121] show that fragments and spore concentrations increased with greater air velocities, however, the spore concentration increased more than the fragment concentration. This explains the decrease in F/S ratio when the air velocity is increased. A decrease in fluorescence in response to the increase in air velocity has been postulated to be due to a decrease in relative humidity of the culture causing desiccation stress to the fungal spores [125]. In addition, due to the increased air velocity, larger fungal hyphae are aerosolized together with spores due to increased stress and desiccation of the colony. The desiccation stress and decrease in fluorescence induced by increased air velocity has been attributed to a loss of spore viability [125].
The type of building material and fungal species affect the amount of growth measured on the contaminated surfaces. In addition, these factors together with air velocity and age of the culture affect the properties of the fungal particles aerosolized from fungal contaminated surfaces. The nutritional value, chemical composition and moisture requirements as well as sources of external nutrients potentially affect fungal growth.
Fluorescence property of the particles which is sometimes attributed to their viability decreases when fungi are grown on poor nutrient substrates, released from older cultures and released in the presence of high air velocities. Since a building has many different materials in its structure and varying airflows passing over different ages of the growths at any point in time, it is concluded that fungal viability and their ability to cause infections may vary under different conditions.
F/S ratios decrease with increasing air velocity while spore concentration increase. This suggests that the conditions under which individuals are exposed to fungal particles may be different. A fraction of the fragments could be derived from building materials due to biodegradation of substrates when they are subjected to fungal metabolism. Fragments aerosolized from building materials could represent a potential health hazard depending on the composition of the material.
Supporting women in scientific research and encouraging more women to pursue careers in STEM fields has been an issue on the global agenda for many years. But there is still much to be done. And IntechOpen wants to help.
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