Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice

dc.contributor.authorBadoni, Saurabh
dc.contributor.authorDas, Sweta
dc.contributor.authorSayal, Yogesh K.
dc.contributor.authorGopalakrishnan, S.
dc.contributor.authorSingh, Ashok K.
dc.contributor.authorRao, Atmakuri R.
dc.contributor.authorAgarwal, Pinky
dc.contributor.authorParida, Swarup K.
dc.contributor.authorTyagi, Akhilesh K.
dc.date.accessioned2016-04-04T09:09:42Z
dc.date.available2016-04-04T09:09:42Z
dc.date.issued2016
dc.descriptionAccepted date: 11 March 2016en_US
dc.description.abstractWe developed genome-wide 84634 ISM (intron-spanning marker) and 16510 InDel-fragment length polymorphism-based ILP (intron-length polymorphism) markers from genes physically mapped on 12 rice chromosomes. These genic markers revealed much higher amplification-efficiency (80%) and polymorphic-potential (66%) among rice accessions even by a cost-effective agarose gel-based assay. A wider level of functional molecular diversity (17–79%) and well-defined precise admixed genetic structure was assayed by 3052 genome-wide markers in a structured population of indica, japonica, aromatic and wild rice. Six major grain weight QTLs (11.9–21.6% phenotypic variation explained) were mapped on five rice chromosomes of a high-density (inter-marker distance: 0.98 cM) genetic linkage map (IR 64 x Sonasal) anchored with 2785 known/candidate gene-derived ISM and ILP markers. The designing of multiple ISM and ILP markers (2 to 4 markers/gene) in an individual gene will broaden the user-preference to select suitable primer combination for efficient assaying of functional allelic variation/diversity and realistic estimation of differential gene expression profiles among rice accessions. The genomic information generated in our study is made publicly accessible through a user-friendly web-resource, “Oryza ISM-ILP marker” database. The known/candidate gene-derived ISM and ILP markers can be enormously deployed to identify functionally relevant trait-associated molecular tags by optimal-resource expenses, leading towards genomics-assisted crop improvement in rice.en_US
dc.description.sponsorshipThe authors gratefully acknowledge the financial support for this study provided by a research grant from the Department of Biotechnology (DBT), Government of India (102/IFD/SAN/2161/2013-14). Sweta Das acknowledges the University Grants Commission (UGC) for Senior Research Fellowship award.en_US
dc.identifier.citationScientific Reports, 6: 23765en_US
dc.identifier.doi10.1038/srep23765en_US
dc.identifier.issn2045-2322
dc.identifier.officialurlhttp://www.nature.com/articles/srep23765en_US
dc.identifier.urihttp://172.16.0.77:8080/jspui/handle/123456789/632
dc.language.isoen_USen_US
dc.publisherNature Publishing Groupen_US
dc.subjectGenetic markersen_US
dc.subjectAgricultural geneticsen_US
dc.subjectGenetic linkage studyen_US
dc.titleGenome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in riceen_US
dc.typeArticleen_US

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