Li Qiao, Pan Zhifen, Gao Yuan, Li Tao, Liang Junjun, Zhang Zijin, Zhang Haili, Deng Guangbing, Long Hai, Yu Maoqun
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
University of Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2020 Dec 10;11:600788. doi: 10.3389/fpls.2020.600788. eCollection 2020.
Numerous quantitative trait loci (QTLs) have been identified for wheat quality; however, most are confined to low-density genetic maps. In this study, based on specific-locus amplified fragment sequencing (SLAF-seq), a high-density genetic map was constructed with 193 recombinant inbred lines derived from Chuanmai 42 and Chuanmai 39. In total, 30 QTLs with phenotypic variance explained (PVE) up to 47.99% were identified for falling number (FN), grain protein content (GPC), grain hardness (GH), and starch pasting properties across three environments. Five genes closely adjacent to probably have effects on GPC. was the only one detected for GH with high PVE of 33.31-47.99% across the three environments and was assumed to be related to the nearest and genes. Three QTLs were identified for FN in at least two environments, of which had relatively higher PVE of 16.58-25.74%. The positive effect of for high FN was verified in a double-haploid population derived from Chuanmai 42 Kechengmai 4. The combination of these QTLs has a considerable effect on increasing FN. The transcript levels of and in were significantly different between low FN and high FN bulks, as observed through bulk segregant RNA-seq (BSR). These QTLs and candidate genes based on the high-density genetic map would be beneficial for further understanding of the genetic mechanism of quality traits and molecular breeding of wheat.
已鉴定出许多与小麦品质相关的数量性状位点(QTL);然而,大多数局限于低密度遗传图谱。在本研究中,基于特异位点扩增片段测序(SLAF-seq),利用川麦42和川麦39衍生的193个重组自交系构建了高密度遗传图谱。总共在三个环境中鉴定出30个QTL,其表型变异解释率(PVE)高达47.99%,涉及降落数值(FN)、籽粒蛋白质含量(GPC)、籽粒硬度(GH)和淀粉糊化特性。五个与 紧密相邻的基因可能对GPC有影响。 是在三个环境中检测到的唯一与GH相关的QTL,其PVE高达33.31%-47.99%,并假定与最接近的 和 基因有关。在至少两个环境中鉴定出三个与FN相关的QTL,其中 具有相对较高的PVE,为16.58%-25.74%。在川麦42×科成麦4衍生的双单倍体群体中验证了 对高FN的正向作用。这些QTL的组合对提高FN有显著作用。通过混合分离群体RNA测序(BSR)观察到,低FN和高FN混合群体中 和 在 中的转录水平存在显著差异。基于高密度遗传图谱的这些QTL和候选基因将有助于进一步了解品质性状的遗传机制和小麦的分子育种。