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利用改良的遗传图谱鉴定小麦产量相关性状的主要数量性状基因座

Identification of major QTLs for yield-related traits with improved genetic map in wheat.

作者信息

Ma Feifei, Xu Yunfeng, Wang Ruifang, Tong Yiping, Zhang Aimin, Liu Dongcheng, An Diaoguo

机构信息

Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.

State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.

出版信息

Front Plant Sci. 2023 Mar 17;14:1138696. doi: 10.3389/fpls.2023.1138696. eCollection 2023.

DOI:10.3389/fpls.2023.1138696
PMID:37008504
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10063875/
Abstract

INTRODUCTION

Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding.

METHODS

In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a high-density genetic map. The genetic map showed high collinearity with the wheat genome assembly. Fourteen yield-related traits were evaluated in six environments for QTL analysis.

RESULTS AND DISCUSSION

A total of 12 environmentally stable QTLs were identified in at least three environments, explaining up to 34.7% of the phenotypic variation. Of these, for thousand kernel weight (TKW), () for plant height (PH), spike length (SL) and spikelet compactness (SCN), for PH, and for total spikelet number per spike (TSS) were detected in at least five environments. A set of Kompetitive Allele Specific PCR (KASP) markers were converted based on the above QTLs and used to genotype a diversity panel comprising of 190 wheat accessions across four growing seasons. (), and were successfully validated. Compared with previous studies, and should be novel QTLs. These results provided a solid foundation for further positional cloning and marker-assisted selection of the targeted QTLs in wheat breeding programs.

摘要

引言

鉴定与产量相关性状的稳定主效数量性状位点(QTL)对于提高小麦育种的产量潜力很重要。

方法

在本研究中,我们使用小麦660K SNP芯片对重组自交系(RIL)群体进行基因分型,并构建了高密度遗传图谱。该遗传图谱与小麦基因组组装显示出高度共线性。在六个环境中评估了14个与产量相关的性状以进行QTL分析。

结果与讨论

在至少三个环境中总共鉴定出12个环境稳定的QTL,解释了高达34.7%的表型变异。其中,千粒重(TKW)的 ,株高(PH)、穗长(SL)和小穗紧密度(SCN)的 ,PH的 ,以及每穗总小穗数(TSS)的 在至少五个环境中被检测到。基于上述QTL转化了一组竞争性等位基因特异性PCR(KASP)标记,并用于对包括190份小麦种质的多样性群体在四个生长季节进行基因分型。 、 和 被成功验证。与先前的研究相比, 和 应该是新的QTL。这些结果为小麦育种计划中进一步对目标QTL进行定位克隆和标记辅助选择提供了坚实的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/8f8a73d7500c/fpls-14-1138696-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/14864204439a/fpls-14-1138696-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/12e6335983c5/fpls-14-1138696-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/1f85165dcae6/fpls-14-1138696-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/db9a796fd83b/fpls-14-1138696-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/815d92f019bb/fpls-14-1138696-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/8f8a73d7500c/fpls-14-1138696-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/14864204439a/fpls-14-1138696-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/12e6335983c5/fpls-14-1138696-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/1f85165dcae6/fpls-14-1138696-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/db9a796fd83b/fpls-14-1138696-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/815d92f019bb/fpls-14-1138696-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d282/10063875/8f8a73d7500c/fpls-14-1138696-g006.jpg

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