Genetic analysis of rice seedling traits related to machine transplanting under different seeding densities

文献类型： 外文期刊

第一作者： Zhu, Dan

作者： Zhu, Dan;Zhang, Yuping;Xiang, Jing;Wang, Yaliang;Zhu, Defeng;Zhang, Yikai;Chen, Huizhe

作者机构：

关键词： Rice seedling trait; Machine transplanting; Seeding density; QTL mapping; Additive and epistasis effect

期刊名称：BMC GENETICS （ 影响因子：2.797； 五年影响因子：3.263 ）

ISSN： 1471-2156

年卷期： 2020 年 21 卷 1 期

页码：

收录情况： SCI

摘要： Background Due to the diversity of rice varieties and cropping systems in China, the limitation of seeding density and seedling quality makes it hard to improve machine-transplanted efficiency. Previous studies have shown that indica and japonica varieties varied in machine transplanting efficiency and optimal seeding density. In this study, a RIL population derived from '9311' and 'Nipponbare' were performed to explore the seedling traits variations and the genetic mechanism under three seeding densities. Results The parents and RIL population exhibited similar trends as the seeding density increased, including seedling height and first leaf sheath length increases, shoot dry weight and root dry weight decreases. Among the 37 QTLs for six traits detected under the three seeding densities, 12 QTLs were detected in both three seeding densities. Five QTL hotspots identified clustered within genomic regions on chromosomes 1, 2, 4, 6 and 11. Specific QTLs such as qRDW(1.1) and qFLSL(5.1) were detected under low and high seeding densities, respectively. Detailed analysis the QTL regions identified under specific seeding densities revealed several candidate genes involved in phytohormones signals and abiotic stress responses. Whole-genome additive effects showed that '9311' contributed more loci enhancing trait performances than 'Nipponbare', indicating '9311' was more sensitive to the seeding density than 'Nipponbare'. The prevalence of negative epistasis effects indicated that the complementary two-locus homozygotes may not have marginal advantages over the means of the two parental genotypes. Conclusions Our results revealed the differences between indica rice and japonica rice seedling traits in response to seeding density. Several QTL hotspots involved in different traits and specific QTLs (such as qRDW(1.1) and qFLSL(5.1)) in diverse seeding densities had been detected. Genome-wide additive and two-locus epistasis suggested a dynamic of the genetic control underlying different seeding densities. It was concluded that novel QTLs, additive and epistasis effects under specific seeding density would provide adequate information for rice seedling improvement during machine transplanting.

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