Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/632
Title: Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice
Authors: Badoni, Saurabh
Das, Sweta
Sayal, Yogesh K.
Gopalakrishnan, S.
Singh, Ashok K.
Rao, Atmakuri R.
Agarwal, Pinky
Parida, Swarup K.
Tyagi, Akhilesh K.
Keywords: Genetic markers
Agricultural genetics
Genetic linkage study
Issue Date: 2016
Publisher: Nature Publishing Group
Citation: Scientific Reports, 6: 23765
Abstract: We 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.
Description: Accepted date: 11 March 2016
URI: http://172.16.0.77:8080/jspui/handle/123456789/632
ISSN: 2045-2322
Appears in Collections:Institutional Publications

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