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利用测序基因型对玉米(Zea mays L.)3 个穗轴性状进行数量性状位点的分子图谱定位。

Molecular mapping of quantitative trait loci for 3 husk traits using genotyping by sequencing in maize (Zea mays L.).

机构信息

Cereal Crops Research Institute, Henan Academy of Agricultural Sciences, Henan Provincial Key Laboratory of Maize Biology, Zhengzhou 450003, China.

Henan Institute of Science and Technology for Development, Zhengzhou 450003, China.

出版信息

G3 (Bethesda). 2022 Sep 30;12(10). doi: 10.1093/g3journal/jkac198.

Abstract

The maize (Zea mays L.) husk consists of multiple leaf layers and plays an important role in grain growth and development. Despite significant achievements in physiological and morphological research, few studies have focused on the detection of genetic loci underlying husk-related traits due to the lack of efficient tools. In this study, we constructed an ultra-high-density linkage map using genotyping by sequencing based on a recombinant inbred line population to estimate the genetic variance and heritability of 3 husk traits, i.e. husk length, husk width, and husk layer number in 3 field environments and the combined environment. The 3 husk traits showed broad phenotypic variation and high heritability; the broad-sense heritability (H2) was 0.92, 0.84, and 0.86. Twenty quantitative trait loci were consistently detected more than 1 environment, including 9 for husk length, 6 for husk width, and 5 for husk layer number. These loci were considered as stable quantitative trait loci. Based on the quantitative trait loci mapping in the recombinant inbred line population, qHL6 and qHN4 were detected across all environments and inferred to be reliable and major-effect quantitative trait loci for husk length and husk layer number, respectively. In addition, several predicted candidate genes were identified in the region of qHL6 and qHN4, of which 17 candidate genes potentially play a role in biological processes related to development process and energy metabolism. These results will be as a useful resource for performing functional studies aimed at understanding the molecular pathways involved in husk growth and development.

摘要

玉米(Zea mays L.)苞叶由多层叶片组成,在籽粒生长和发育中起着重要作用。尽管在生理和形态学研究方面取得了重大进展,但由于缺乏有效的工具,很少有研究关注与苞叶相关性状相关的遗传基因座的检测。本研究利用基于重组自交系群体的测序基因型构建了超高密度连锁图谱,以估计 3 个苞叶性状(苞叶长度、苞叶宽度和苞叶层数)在 3 个田间环境和综合环境中的遗传方差和遗传率。3 个苞叶性状表现出广泛的表型变异和高遗传率;广义遗传率(H2)分别为 0.92、0.84 和 0.86。20 个数量性状基因座在超过 1 个环境中被一致检测到,其中 9 个与苞叶长度有关,6 个与苞叶宽度有关,5 个与苞叶层数有关。这些基因座被认为是稳定的数量基因座。基于重组自交系群体中的数量基因座定位,在所有环境中检测到 qHL6 和 qHN4,并推断它们分别是苞叶长度和苞叶层数的可靠和主要效应数量基因座。此外,在 qHL6 和 qHN4 区域鉴定出了几个预测的候选基因,其中 17 个候选基因可能在与发育过程和能量代谢相关的生物学过程中发挥作用。这些结果将为进行功能研究提供有用的资源,以了解与苞叶生长和发育相关的分子途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fe6/9526056/d201d60f8205/jkac198f1.jpg

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