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利用BSA法定位大豆全基因组株高QTL及候选基因分析.docx

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利用BSA法定位大豆全基因组株高QTL及候选基因分析 Title:IdentificationofHigh-QTLsandCandidateGenesforWholeGenomicSoybeanVariationusingBSAMethod Abstract: Soybean(Glycinemax)isoneofthemosteconomicallyimportantcropsworldwide.Understandingthegeneticbasisofimportanttraitsinsoybean,suchasyield,diseaseresistance,andabioticstresstolerance,iscrucialforitsimprovementthroughmolecularbreeding.Inthisstudy,weemployedthebulkedsegregantanalysis(BSA)methodtoidentifyhigh-QTLs(quantitativetraitloci)andcandidategenesassociatedwithwholegenomicvariationsinsoybean. Introduction: Soybeanisahighlyvaluablecropduetoitshighproteincontentandoilquality.However,soybeanproductionisoftenchallengedbyvariousbioticandabioticstresses,limitingitsproductivity.Traditionalbreedingmethodsforsoybeanimprovementaretime-consumingandlabor-intensive.Withtheadventofgenomicsandmolecularbiology,itisnowpossibletoemployadvancedtechniquestoidentifykeygeneticfactorsthatconferdesirabletraitsinsoybean.BSAisapowerfulstrategythatenablestheidentificationofgenomicregionsassociatedwithtraitsofinterest. Methods: 1.Plantmaterials:Adiversesetofsoybeanaccessionsrepresentingdifferentgenotypicbackgroundswasusedforwholegenomicvariations. 2.Phenotypicevaluation:Theselectedaccessionswereevaluatedforvariousimportantagronomictraits,includingyield,diseaseresistance,andabioticstresstolerance. 3.DNAextraction:GenomicDNAwasextractedusingastandardprotocolfromfreshleavesofeachselectedaccession. 4.BulkedSegregantAnalysis(BSA):TwoDNAbulkswerecreated,eachcontainingequalamountsofDNAfromextremephenotypicindividualsofatraitofinterest(e.g.,highyieldvs.lowyield).Thebulksweresubjectedtonext-generationsequencing(NGS)toobtaingenomicvariations. 5.SNPidentificationandfiltering:Singlenucleotidepolymorphisms(SNPs)betweenthetwobulkswereidentifiedandfilteredbasedonsequencingdepth,SNPquality,andallelefrequencydifferences. 6.High-QTLmapping:ThefilteredSNPswereusedtoperformQTLmappingusingappropriatestatisticalmethods. 7.Candidategeneanalysis:TheidentifiedQTLregionsweresearchedforpoten