Liu Xiaofeng, Xu Zhibin, Feng Bo, Zhou Qiang, Ji Guangsi, Guo Shaodan, Liao Simin, Lin Dian, Fan Xiaoli, Wang Tao
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
University of Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2022 Aug 30;13:967432. doi: 10.3389/fpls.2022.967432. eCollection 2022.
Mining novel and less utilized thousand grain weight (TGW) related genes are useful for improving wheat yield. In this study, a recombinant inbred line population from a cross between Zhongkemai 138 (ZKM138, high TGW) and Chuanmai 44 (CM44, low TGW) was used to construct a new Wheat 50K SNP array-derived genetic map that spanned 1,936.59 cM and contained 4, 139 markers. Based on this map, ninety-one quantitative trait loci (QTL) were detected for eight grain-related traits in six environments. Among 58 QTLs, whose superior alleles were contributed by ZKM138, was a noticeable major stable QTL and was also highlighted by bulked segregant analysis with RNA sequencing (BSR-Seq). It had a pyramiding effect on TGW enhancement but no significant trade-off effect on grain number per spike or tiller number, with two other QTLs ( and ), possibly explaining the excellent grain performance of ZKM138. After comparison with known loci, was deduced to be a novel locus that differed from nearby and . Seven simple sequence repeat (SSR) and thirty-nine kompetitive allele-specific PCR (KASP) markers were finally developed to narrow the candidate interval of to 4.1 Mb. Only six genes in this interval were regarded as the most likely candidate genes. was further validated in different genetic backgrounds and presented 88.6% transmissibility of the ZKM138-genotype and a 16.4% increase of TGW in ZKM138 derivatives. And the geographic pattern of this locus revealed that its superior allele is present in only 6.47% of 433 Chinese modern wheat varieties, indicating its potential contribution to further high-yield breeding.
挖掘新的且较少被利用的千粒重(TGW)相关基因有助于提高小麦产量。本研究利用中垦麦138(ZKM138,高TGW)和川麦44(CM44,低TGW)杂交构建的重组自交系群体,构建了一张新的基于小麦50K SNP芯片的遗传图谱,该图谱跨度为1,936.59 cM,包含4,139个标记。基于此图谱,在六个环境中检测到了与八个籽粒相关性状的91个数量性状位点(QTL)。在由ZKM138贡献优异等位基因的58个QTL中,有一个显著的主要稳定QTL,通过RNA测序的混合分离分析(BSR-Seq)也得到了突出显示。它对提高TGW有累加效应,对每穗粒数或分蘖数没有显著的权衡效应,与另外两个QTL(和)共同作用,可能解释了ZKM138优异的籽粒表现。与已知位点比较后,推断该位点是一个不同于附近和的新位点。最终开发了7个简单序列重复(SSR)标记和39个竞争性等位基因特异性PCR(KASP)标记,将该位点的候选区间缩小到4.1 Mb。该区间内只有6个基因被认为是最有可能的候选基因。该位点在不同遗传背景下进一步得到验证,在ZKM138衍生物中呈现出88.6%的ZKM138基因型传递率和16.4%的TGW增加。该位点的地理分布模式表明,其优异等位基因仅存在于433个中国现代小麦品种的6.47%中,表明其对进一步高产育种的潜在贡献。