摘要：
水稻是最重要的粮食作物之一, 培育高产稳产的水稻品种对于维护粮食安全至关重要, 对产量相关性状的遗传解析是提高水稻产量的基础。本文从“3000份水稻核心种质重测序项目” (3K Rice Genome Project)中挑选生育期较为一致的226份核心种质资源材料考察生育期(rice growing period, RGP)、株高(plant height, PH)、有效穗数(effective panicle number, EPN)、穗长(panicle length, PL)、穗着粒密度(spikelet density, SD)、结实率(seed setting rate, SSR)、千粒重(thousand grains weight, TGW)、单株产量(yield per plant, YP)、每穗颖花数(spikelet per panicle, SP)、每穗实粒数(grains per panicle, GP) 10个主要农艺性状, 结合2429 kb的高密度基因型数据进行全基因组关联分析(genome-wide association study, GWAS)。共定位到显著相关位点43个, 除了qRGP7.2、qPH12、qPL6.2、qSD6.2、qTGW1.1、qGP1、qGP5.2 7个QTLs以外, 其余36个QTL为本研究中定位到的新位点。此外, 本研究利用单核苷酸位点功能评估的方式筛选到6个主要农艺性状相关候选基因。分别为株高相关基因LOC_Os12g18760、有效穗数相关基因LOC_Os03g33530、穗长相关基因LOC_Os06g30940、千粒重相关基因LOC_Os01g49810、单株产量相关基因LOC_Os09g25260、穗着粒密度和每穗颖花数相关基因LOC_Os09g32620。本研究结果将为水稻产量遗传改良提供理论参考与重要基因资源。
关键词:
水稻,
产量,
关联分析,
候选基因,
遗传改良
Abstract:
Rice is the most important food crop for more than half of the world’s population, and the cultivation of rice varieties with high and stable yield is crucial for solving the world’s food problems. In this study, 226 rice core materials with relatively consistent growth stage were selected from “3K Rice Genome Project” and 2429 kb of high density genotype and 10 agronomic traits including growth period, plant height, effective panicle number, panicle length, spikelet density, seed setting rate, thousand-grains weight, yield per plant, spikelet per panicle, and grains per panicle were investigated by genome-wide associate study combined with 2429 kb of high-density genotype data. A total of 43 loci significantly associated with main agronomic traits were identified, including seven known loci, such as qRGP7.2, qPH12, qPL6.2, qSD6.2, qTGW1.1, qGP1, and qGP5.2. Six candidate genes were screened out, including LOC_Os12g18760 related to plant height, LOC_Os03g33530 related to effective panicle number, LOC_Os06g30940 related to panicle length, LOC_Os01g49810 related to thousand grains weight, LOC_Os09g25260 related to yield per plant, and LOC_Os09g32620 related to spikelet density and spikelet per panicle. These results provide important gene resources and the theoretical reference for genetic improvement of rice yield.
Key words:
rice,
yield,
GWAS,
candidate genes,
genetic improvement
引用本文
杨飞, 张征锋, 南波, 肖本泽. 水稻产量相关性状的全基因组关联分析及候选基因筛选[J]. 作物学报, 2022, 48(7): 1813-1821.
YANG Fei, ZHANG Zheng-Feng, NAN Bo, XIAO Ben-Ze. Genome-wide association analysis and candidate gene selection of yield related traits in rice[J]. Acta Agronomica Sinica, 2022, 48(7): 1813-1821.
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链接本文:
https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2022.12047
https://zwxb.chinacrops.org/CN/Y2022/V48/I7/1813