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Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice

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dc.contributor.authorLim, Jung-Hyun-
dc.contributor.authorYang, Hyun-Jung-
dc.contributor.authorJung, Ki-Hong-
dc.contributor.authorYoo, Soo-Cheul-
dc.contributor.authorPaek, Nam-Chon-
dc.creator백남천-
dc.date.accessioned2014-07-24T02:44:26Z-
dc.date.available2014-07-24T02:44:26Z-
dc.date.issued2014-02-
dc.identifier.citationMolecules and Cells, Vol.32 No.2, pp. 149-160-
dc.identifier.issn1016-8478-
dc.identifier.urihttps://hdl.handle.net/10371/92616-
dc.description.abstractPlant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits: plant height, tiller number, panicle diameter, panicle length, flag leaf length, and flag leaf width. We performed QTL analysis with 178 F7 recombinant in-bred lines (RILs) from a cross of japonica rice line 'SNUSG1' and indica rice line 'Milyang23'. Using 131 molecular markers, including 28 insertion/deletion markers, we identified 11 main- and 16 minor-effect QTLs for the six traits with a threshold LOD value > 2.8. Our sequence analysis identified fifty-four candidate genes for the main-effect QTLs. By further comparison of coding sequences and meta-expression profiles between japonica and indica rice varieties, we finally chose 15 strong candidate genes for the 11 main-effect QTLs. Our study shows that the whole-genome sequence data substantially enhanced the efficiency of polymorphic marker development for QTL fine-mapping and the identification of possible candidate genes. This yields useful genetic resources for breeding high-yielding rice cultivars with improved plant architecture.en
dc.language.isoenen
dc.publisherSpringeren
dc.subject농수해양en
dc.titleQuantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Riceen
dc.typeArticle-
dc.contributor.AlternativeAuthor임정현-
dc.contributor.AlternativeAuthor양현정-
dc.contributor.AlternativeAuthor정기홍-
dc.contributor.AlternativeAuthor유수철-
dc.contributor.AlternativeAuthor백남천-
dc.identifier.doi10.14348/molcells.2014.2336-
dc.description.srndOAIID:oai:osos.snu.ac.kr:snu2014-01/102/0000003606/3-
dc.description.srndSEQ:3-
dc.description.srndPERF_CD:SNU2014-01-
dc.description.srndEVAL_ITEM_CD:102-
dc.description.srndUSER_ID:0000003606-
dc.description.srndADJUST_YN:N-
dc.description.srndEMP_ID:A002118-
dc.description.srndDEPT_CD:517-
dc.description.srndCITE_RATE:2.21-
dc.description.srndFILENAME:2014 qtl (mol cells-lim jh).pdf-
dc.description.srndDEPT_NM:식물생산과학부-
dc.description.srndSCOPUS_YN:Y-
dc.description.srndCONFIRM:Y-
dc.identifier.rimsid12101-
dc.identifier.srnd2014-01/102/0000003606/3-
dc.type.rimsART-
Appears in Collections:
College of Agriculture and Life Sciences (농업생명과학대학)Dept. of Plant Science (식물생산과학부)Journal Papers (저널논문_식물생산과학부)
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