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dc.contributor.authorYang, Tao
dc.contributor.authorBao, Shi-Ying
dc.contributor.authorFord, Rebecca
dc.contributor.authorJia, Teng-Jiao
dc.contributor.authorGuan, Jian-Ping
dc.contributor.authorHe, Yu-Hua
dc.contributor.authorSun, Xue-Lian
dc.contributor.authorJiang, Jun-Ye
dc.contributor.authorHao, Jun-Jie
dc.contributor.authorZhang, Xiao-Yan
dc.contributor.authorZong, Xu-Xiao
dc.date.accessioned2018-01-19T03:42:35Z
dc.date.available2018-01-19T03:42:35Z
dc.date.issued2012
dc.identifier.issn1471-2164
dc.identifier.doi10.1186/1471-2164-13-602
dc.identifier.urihttp://hdl.handle.net/10072/172828
dc.description.abstractBackground: Faba bean (Vicia faba L.) is an important food legume crop, grown for human consumption globally including in China, Turkey, Egypt and Ethiopia. Although genetic gain has been made through conventional selection and breeding efforts, this could be substantially improved through the application of molecular methods. For this, a set of reliable molecular markers representative of the entire genome is required. Results: A library with 125,559 putative SSR sequences was constructed and characterized for repeat type and length from a mixed genome of 247 spring and winter sown faba bean genotypes using 454 sequencing. A suit of 28,503 primer pair sequences were designed and 150 were randomly selected for validation. Of these, 94 produced reproducible amplicons that were polymorphic among 32 faba bean genotypes selected from diverse geographical locations. The number of alleles per locus ranged from 2 to 8, the expected heterozygocities ranged from 0.0000 to 1.0000, and the observed heterozygosities ranged from 0.0908 to 0.8410. The validation by UPGMA cluster analysis of 32 genotypes based on Nei's genetic distance, showed high quality and effectiveness of those novel SSR markers developed via next generation sequencing technology. Conclusions: Large scale SSR marker development was successfully achieved using next generation sequencing of the V. faba genome. These novel markers are valuable for constructing genetic linkage maps, future QTL mapping, and marker-assisted trait selection in faba bean breeding efforts.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central
dc.relation.ispartofpagefrom602-1
dc.relation.ispartofpageto602-11
dc.relation.ispartofissue1
dc.relation.ispartofjournalBMC Genomics
dc.relation.ispartofvolume13
dc.subject.fieldofresearchGenomics
dc.subject.fieldofresearchBiological Sciences
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchcode060408
dc.subject.fieldofresearchcode06
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode11
dc.titleHigh-throughput novel microsatellite marker of faba bean via next generation sequencing
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/2.0
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2012 Yang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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gro.griffith.authorFord, Rebecca


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