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干旱胁迫下玉米雄穗结构性状的GWAS及全基因组选择OA

Genome-wide association and genomic selection for tassel structural traits in maize under drought stress

中文摘要英文摘要

干旱是影响玉米生长发育并导致减产的主要非生物胁迫.雄穗主轴长(TL)和雄穗一级分枝数(TBN)是影响玉米花粉散布及产量形成的关键结构性状.解析干旱胁迫下TL和TBN的遗传基础,可为玉米抗旱稳产育种提供理论依据.本研究以 395 份玉米自交系构建的关联群体为材料,在正常供水(WW)和干旱胁迫(DS)处理下开展多环境表型鉴定.基于重测序获得的高密度SNP标记,采用FarmCPU模型开展全基因组关联分析(GWAS)和全基因组选择(GS).TL、TBN及其抗旱指数均受环境、基因型及基因型×环境互作的显著影响.干旱胁迫显著降低TL和TBN的表型值(P<0.0001).TL和TBN在WW与DS处理下均有较高的遗传力,范围为 72.12%~90.19%.TL和TBN抗旱指数遗传力分别为 57.43%和 86.22%.GWAS分析检测到多个与TL、TBN及其抗旱指数显著关联的SNP,其中WW和DS处理下与TL相关的SNP分别有 71 个和 51 个,与TBN相关的SNP分别有 70 个和 81 个.部分显著关联SNP在不同水分处理或抗旱指数中重复检测到,表现出一定的环境稳定性.其中,TL在WW、DS及抗旱指数中检测到 3 个共定位SNP,在DS与抗旱指数中检测到 10 个共定位SNP;TBN在WW、DS及抗旱指数中检测到 6 个共定位SNP,在DS与抗旱指数中共检测到 13 个共定位SNP.这些共定位位点可能与玉米干旱响应调控相关.GS分析表明,训练群体比例为 60%~70%、标记数量为 20,000 时,预测精度趋于稳定,TL为 0.347~0.483,TBN为 0.587~0.609,且在干旱处理下 TBN 的预测效果优于 TL.本研究系统揭示了干旱胁迫下玉米雄穗结构性状的遗传特征,为改良玉米雄穗结构及提高抗旱性提供了重要理论依据.

Drought is a major abiotic stress that affects maize growth and development,leading to reduced yield.Tassel length(TL)and tassel primary branch number(TBN)are key structural traits influencing pollen dispersal and yield formation in maize.Elucidating the genetic basis of TL and TBN under drought stress provides theoretical support for breeding drought-tolerant and stable-yielding maize varieties.In this study,an association panel consisting of 395 maize inbred lines was subjected to multi-environment phenotyping under well-watered(WW)and drought-stressed(DS)conditions.High-density SNP markers ob-tained from resequencing were used to perform genome-wide association studies(GWAS)and genomic selection(GS)with the FarmCPU model.TL,TBN,and their drought resistance indices were significantly affected by environment,genotype,and geno-type×environment interaction.Drought stress significantly reduced the phenotypic values of TL and TBN(P<0.0001).Both TL and TBN exhibited high heritability under WW and DS,ranging from 72.12%to 90.19%.The heritability of the drought resis-tance index was 57.43%for TL and 86.22%for TBN.GWAS identified multiple SNPs significantly associated with TL,TBN,and their drought resistance indices.Specifically,71 and 51 SNPs were associated with TL under WW and DS,respectively,while 70 and 81 SNPs were associated with TBN under WW and DS conditions,respectively.Some significant SNPs were repeatedly de-tected under different water regimes or in the drought resistance index analysis,indicating certain environmental stability.Among them,three co-localized SNPs were detected across WW,DS,and drought resistance index analyses,and ten co-localized SNPs were found between DS and the drought resistance index.For TBN,six co-localized SNPs were identified across WW,DS,and the drought resistance index,and thirteen co-localized SNPs between DS and the drought resistance index.These co-localized loci may be involved in the regulation of drought response in maize.GS analysis showed that when the training population proportion was 60%-70%with 20,000 markers,prediction accuracy stabilized,ranging from 0.347 to 0.483 for TL and from 0.587 to 0.609 for TBN.The prediction performance for TBN under drought stress was superior to that for TL.This study systematically eluci-dated the genetic characteristics of maize tassel structural traits under drought stress,providing an important theoretical basis for improving tassel architecture and drought tolerance in maize.

张为为;任姣姣;魏略;吴若彤;陶庭余;吴传鹏;阿布力克木·阿布力米提;徐晓明;吴鹏昊

新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052新疆农业大学农学院,新疆 乌鲁木齐 830052

玉米雄穗主轴长雄穗一级分枝数干旱胁迫全基因组关联分析全基因组选择

maizetassel lengthtassel primary branch numberdrought stressgenome-wide association studygenomic selection

《作物学报》 2026 (9)

2641-2659,19

本研究由国家自然科学基金项目(32360491),新疆维吾尔自治区自然科学基金重点项目(2022D01D34)和新疆维吾尔自治区重大专项(2022A02003-1)资助.This study was supported by the National Natural Science Foundation of China(32360491),the Key Project of the Natural Science Founda-tion of Xinjiang Uygur Autonomous Region(2022D01D34),and the Major Project of Xinjiang Uygur Autonomous Region(2022A02003-1).

10.3724/SP.J.1006.2026.63022

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