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Article: Wetlands explain most in the genetic divergence pattern of Oncomelania hupensis

TitleWetlands explain most in the genetic divergence pattern of Oncomelania hupensis
Authors
KeywordsOncomelania hupensis
Isolation by distance
Landscape genetics
Genetic divergence
Spatial autocorrelation
Schistosomiasis japonicum
Issue Date2014
Citation
Infection, Genetics and Evolution, 2014, v. 27, p. 436-444 How to Cite?
Abstract© 2014 Elsevier B.V. Understanding the divergence patterns of hosts could shed lights on the prediction of their parasite transmission. No effort has been devoted to understand the drivers of genetic divergence pattern of Oncomelania hupensis, the only intermediate host of Schistosoma japonicum. Based on a compilation of two O. hupensis gene datasets covering a wide geographic range in China and an array of geographical distance and environmental dissimilarity metrics built from earth observation data and ecological niche modeling, we conducted causal modeling analysis via simple, partial Mantel test and local polynomial fitting to understand the interactions among isolation-by-distance, isolation-by-environment, and genetic divergence. We found that geography contributes more to genetic divergence than environmental isolation, and among all variables involved, wetland showed the strongest correlation with the genetic pairwise distances. These results suggested that in China, O. hupensis dispersal is strongly linked to the distribution of wetlands, and the current divergence pattern of both O. hupensis and schistosomiasis might be altered due to the changed wetland pattern with the accomplishment of the Three Gorges Dam and the South-to-North water transfer project.
Persistent Identifierhttp://hdl.handle.net/10722/296738
ISSN
2021 Impact Factor: 4.393
2020 SCImago Journal Rankings: 1.085
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiang, Lu-
dc.contributor.authorLiu, Yang-
dc.contributor.authorLiao, Jishan-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:34Z-
dc.date.available2021-02-25T15:16:34Z-
dc.date.issued2014-
dc.identifier.citationInfection, Genetics and Evolution, 2014, v. 27, p. 436-444-
dc.identifier.issn1567-1348-
dc.identifier.urihttp://hdl.handle.net/10722/296738-
dc.description.abstract© 2014 Elsevier B.V. Understanding the divergence patterns of hosts could shed lights on the prediction of their parasite transmission. No effort has been devoted to understand the drivers of genetic divergence pattern of Oncomelania hupensis, the only intermediate host of Schistosoma japonicum. Based on a compilation of two O. hupensis gene datasets covering a wide geographic range in China and an array of geographical distance and environmental dissimilarity metrics built from earth observation data and ecological niche modeling, we conducted causal modeling analysis via simple, partial Mantel test and local polynomial fitting to understand the interactions among isolation-by-distance, isolation-by-environment, and genetic divergence. We found that geography contributes more to genetic divergence than environmental isolation, and among all variables involved, wetland showed the strongest correlation with the genetic pairwise distances. These results suggested that in China, O. hupensis dispersal is strongly linked to the distribution of wetlands, and the current divergence pattern of both O. hupensis and schistosomiasis might be altered due to the changed wetland pattern with the accomplishment of the Three Gorges Dam and the South-to-North water transfer project.-
dc.languageeng-
dc.relation.ispartofInfection, Genetics and Evolution-
dc.subjectOncomelania hupensis-
dc.subjectIsolation by distance-
dc.subjectLandscape genetics-
dc.subjectGenetic divergence-
dc.subjectSpatial autocorrelation-
dc.subjectSchistosomiasis japonicum-
dc.titleWetlands explain most in the genetic divergence pattern of Oncomelania hupensis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.meegid.2014.08.012-
dc.identifier.pmid25183028-
dc.identifier.scopuseid_2-s2.0-84909647226-
dc.identifier.volume27-
dc.identifier.spage436-
dc.identifier.epage444-
dc.identifier.eissn1567-7257-
dc.identifier.isiWOS:000343951900052-
dc.identifier.issnl1567-1348-

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