Genetic architecture underpinning yield component traits in wheat
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REVIEW
Genetic architecture underpinning yield component traits in wheat Shuanghe Cao1 · Dengan Xu1 · Mamoona Hanif1 · Xianchun Xia1 · Zhonghu He1,2 Received: 21 September 2019 / Accepted: 6 February 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Key message Genetic atlas, reliable QTL and candidate genes of yield component traits in wheat were figured out, laying concrete foundations for map-based gene cloning and dissection of regulatory mechanisms underlying yield. Abstract Mining genetic loci for yield is challenging due to the polygenic nature, large influence of environment and complex relationship among yield component traits (YCT). Many genetic loci related to wheat yield have been identified, but its genetic architecture and key genetic loci for selection are largely unknown. Wheat yield potential can be determined by three YCT, thousand kernel weight, kernel number per spike and spike number. Here, we summarized the genetic loci underpinning YCT from QTL mapping, association analysis and homology-based gene cloning. The major loci determining yield-associated agronomic traits, such as flowering time and plant height, were also included in comparative analyses with those for YCT. We integrated yield-related genetic loci onto chromosomes based on their physical locations. To identify the major stable loci for YCT, 58 QTL-rich clusters (QRC) were defined based on their distribution on chromosomes. Candidate genes in each QRC were predicted according to gene annotation of the wheat reference genome and previous information on validation of those genes in other species. Finally, a technological route was proposed to take full advantage of the resultant resources for gene cloning, molecular marker-assisted breeding and dissection of molecular regulatory mechanisms underlying wheat yield. Abbreviations ChIP Chromatin immunoprecipitation FT Flowering time KNS Kernel number per spike LD Linkage disequilibrium PH Plant height QTL Quantitative trait locus Communicated by Albrecht E. Melchinger. Shuanghe Cao and Dengan Xu have contributed equally to this work. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00122-020-03562-8) contains supplementary material, which is available to authorized users. * Shuanghe Cao [email protected] * Zhonghu He [email protected] 1
Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing 100081, China
International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, 12 Zhongguancun South Street, Beijing 100081, China
2
QRC QTL-rich cluster SN Spike number per square meter SNP Single-nucleotide polymorphism SSR Simple sequence repeat TKW Thousand kernel weight YCT Yield component trait
Introduction Wheat (Triticum aestivum L.), the most widely planted food crop, provides approximately one-fifth of the dietary calories in food consumption worldwide. The demand of wheat for ever expanding glo
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