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通过QTL连锁图谱和荟萃分析揭示的小麦粒重主要基因组区域

Major Genomic Regions for Wheat Grain Weight as Revealed by QTL Linkage Mapping and Meta-Analysis.

作者信息

Miao Yongping, Jing Fanli, Ma Jingfu, Liu Yuan, Zhang Peipei, Chen Tao, Che Zhuo, Yang Delong

机构信息

State Key Laboratory of Aridland Crop Science, Gansu, China.

College of Life Science and Technology, Gansu Agricultural University, Gansu, China.

出版信息

Front Plant Sci. 2022 Feb 10;13:802310. doi: 10.3389/fpls.2022.802310. eCollection 2022.

Abstract

Grain weight is a key determinant for grain yield potential in wheat, which is highly governed by a type of quantitative genetic basis. The identification of major quantitative trait locus (QTL) and functional genes are urgently required for molecular improvements in wheat grain yield. In this study, major genomic regions and putative candidate genes for thousand grain weight (TGW) were revealed by integrative approaches with QTL linkage mapping, meta-analysis and transcriptome evaluation. Forty-five TGW QTLs were detected using a set of recombinant inbred lines, explaining 1.76-12.87% of the phenotypic variation. Of these, ten stable QTLs were identified across more than four environments. Meta-QTL (MQTL) analysis were performed on 394 initial TGW QTLs available from previous studies and the present study, where 274 loci were finally refined into 67 MQTLs. The average confidence interval of these MQTLs was 3.73-fold less than that of initial QTLs. A total of 134 putative candidate genes were mined within MQTL regions by combined analysis of transcriptomic and omics data. Some key putative candidate genes similar to those reported early for grain development and grain weight formation were further discussed. This finding will provide a better understanding of the genetic determinants of TGW and will be useful for marker-assisted selection of high yield in wheat breeding.

摘要

粒重是小麦产量潜力的关键决定因素,其受一种数量遗传基础的高度控制。为了对小麦产量进行分子改良,迫切需要鉴定主要的数量性状位点(QTL)和功能基因。在本研究中,通过QTL连锁图谱构建、荟萃分析和转录组评估等综合方法,揭示了千粒重(TGW)的主要基因组区域和推定的候选基因。利用一组重组自交系检测到45个TGW QTL,解释了1.76%-12.87%的表型变异。其中,在四个以上环境中鉴定出10个稳定的QTL。对先前研究和本研究中可用的394个初始TGW QTL进行了元QTL(MQTL)分析,最终将274个位点精炼为67个MQTL。这些MQTL的平均置信区间比初始QTL小3.73倍。通过转录组和组学数据的联合分析,在MQTL区域共挖掘出134个推定的候选基因。进一步讨论了一些与早期报道的籽粒发育和粒重形成相关的关键推定候选基因。这一发现将有助于更好地理解TGW的遗传决定因素,并将有助于小麦育种中高产的标记辅助选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f0/8866663/13fe1a9bfac7/fpls-13-802310-g001.jpg

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