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Unravelling the genetic diversity among cassava Bemisia tabaci whiteflies using NextRAD Sequencing

dc.contributor.authorWosula, Everlyne N.
dc.contributor.authorChen, W.
dc.contributor.authorFei, Z.
dc.contributor.authorLegg, J.P.
dc.date.accessioned2019-12-04T11:11:18Z
dc.date.available2019-12-04T11:11:18Z
dc.date.issued2017-11-01
dc.identifier.citationWosula, E.N., Chen, W., Fei, Z. & Legg, J.P. (2017). Unravelling the genetic diversity among cassava Bemisia tabaci whiteflies using NextRAD sequencing. Genome Biology and Evolution, 9(1), 2958–2973 .
dc.identifier.issn1759-6653
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2399
dc.descriptionArticle purchased; Published online: 31 Oct 2017
dc.description.abstractBemisia tabaci threatens production of cassava in Africa through vectoring viruses that cause cassava mosaic disease (CMD) and cassava brown streak disease (CBSD). B. tabaci sampled from cassava in eight countries in Africa were genotyped using NextRAD sequencing, and their phylogeny and population genetics were investigated using the resultant single nucleotide polymorphism (SNP) markers. SNP marker data and short sequences of mitochondrial DNA cytochrome oxidase I (mtCOI) obtained from the same insect were compared. Eight genetically distinct groups were identified based on mtCOI, whereas phylogenetic analysis using SNPs identified six major groups, which were further confirmed by PCA and multidimensional analyses. STRUCTURE analysis identified four ancestral B. tabaci populations that have contributed alleles to the six SNP-based groups. Significant gene flows were detected between several of the six SNP-based groups. Evidence of gene flow was strongest for SNP-based groups occurring in central Africa. Comparison of the mtCOI and SNP identities of sampled insects provided a strong indication that hybrid populations are emerging in parts of Africa recently affected by the severe CMD pandemic. This study reveals that mtCOI is not an effective marker at distinguishing cassava-colonizing B. tabaci haplogroups, and that more robust SNP-based multilocus markers should be developed. Significant gene flows between populations could lead to the emergence of haplogroups that might alter the dynamics of cassava virus spread and disease severity in Africa. Continuous monitoring of genetic compositions of whitefly populations should be an essential component in efforts to combat cassava viruses in Africa.
dc.description.sponsorshipUnited States Agency for International Development
dc.format.extent2958-2973
dc.language.isoen
dc.subjectDna
dc.subjectPolymorphism
dc.subjectNucleotide
dc.subjectGene Banks
dc.subjectCassava
dc.subjectPlant Diseases
dc.subjectMitochondrial Dna Cytochrome Oxidase I
dc.subjectPopulation Genetic Structure
dc.subjectAfrican Cassava Mosaic Virus
dc.subjectCassava Brown Streak Disease
dc.subjectBemisia Tabaci
dc.subjectNextrad Sequencing
dc.titleUnravelling the genetic diversity among cassava Bemisia tabaci whiteflies using NextRAD Sequencing
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.crpGenebanks
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBoyce Thompson Institute for Plant Research
cg.contributor.affiliationUnited States Department of Agriculture
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.regionEast Africa
cg.coverage.regionSouthern Africa
cg.coverage.regionWest Africa
cg.coverage.countryBurundi
cg.coverage.countryCameroon
cg.coverage.countryCentral African Republic
cg.coverage.countryCongo, Dr
cg.coverage.countryMadagascar
cg.coverage.countryNigeria
cg.coverage.countryRwanda
cg.coverage.countryTanzania
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectCassava
cg.iitasubjectGenetic Improvement
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Genetic Resources
cg.journalGenome Biology and Evolution
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid92357
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.1093/gbe/evx219


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