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整合 QTL 作图、荟萃分析和 RNA 测序揭示玉米耐深播的候选基因

Integrated QTL Mapping, Meta-Analysis, and RNA-Sequencing Reveal Candidate Genes for Maize Deep-Sowing Tolerance.

机构信息

State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China.

Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK S9H 3X2, Canada.

出版信息

Int J Mol Sci. 2023 Apr 5;24(7):6770. doi: 10.3390/ijms24076770.

Abstract

Synergetic elongation of mesocotyl and coleoptile are crucial in governing maize seedlings emergence, especially for the maize sown in deep soil. Studying the genomic regions controlling maize deep-sowing tolerance would aid the development of new varieties that are resistant to harsh conditions, such as drought and low temperature during seed germination. Using 346 F maize population families from W64A × K12 cross at three sowing depths, we identified 33 quantitative trait loci (QTLs) for the emergence rate, mesocotyl, coleoptile, and seedling lengths via composite interval mapping (CIM). These loci explained 2.89% to 14.17% of phenotypic variation in a single environment, while 12 of 13 major QTLs were identified at two or more sowing environments. Among those, four major QTLs in Bin 1.09, Bin 4.08, Bin 6.01, and Bin 7.02 supported pleiotropy for multiple deep-sowing tolerant traits. Meta-analysis identified 17 meta-QTLs (MQTLs) based on 130 original QTLs from present and previous studies. RNA-Sequencing of mesocotyl and coleoptile in both parents (W64A and K12) at 3 cm and 20 cm sowing environments identified 50 candidate genes expressed differentially in all major QTLs and MQTLs regions: six involved in the circadian clock, 27 associated with phytohormones biosynthesis and signal transduction, seven controlled lignin biosynthesis, five regulated cell wall organization formation and stabilization, three were responsible for sucrose and starch metabolism, and two in the antioxidant enzyme system. These genes with highly interconnected networks may form a complex molecular mechanism of maize deep-sowing tolerance. Findings of this study will facilitate the construction of molecular modules for deep-sowing tolerance in maize. The major QTLs and MQTLs identified could be used in marker-assisted breeding to develop elite maize varieties.

摘要

协同伸长中胚轴和胚芽鞘对控制玉米幼苗的出土至关重要,特别是对于播种在深层土壤中的玉米。研究控制玉米耐深播的基因组区域将有助于开发新的品种,这些品种能够抵抗恶劣条件,如干旱和低温对种子萌发的影响。利用 W64A×K12 杂交的 346 个 F2 家系在 3 个播种深度下,通过复合区间作图(CIM)鉴定出 33 个与发芽率、中胚轴、胚芽鞘和幼苗长度有关的数量性状位点(QTLs)。这些位点在单个环境中解释了 2.89%到 14.17%的表型变异,而 13 个主要 QTL 中的 12 个在两个或更多播种环境中被鉴定出来。其中,Bin 1.09、Bin 4.08、Bin 6.01 和 Bin 7.02 中的 4 个主要 QTL 对多个耐深播性状具有多效性。基于当前和以前研究中的 130 个原始 QTL,元分析确定了 17 个元数量性状位点(MQTLs)。在 3 cm 和 20 cm 播种环境下,对中胚轴和胚芽鞘在两个亲本(W64A 和 K12)中的 RNA 测序,确定了在所有主要 QTL 和 MQTL 区域中差异表达的 50 个候选基因:6 个涉及生物钟,27 个与植物激素生物合成和信号转导有关,7 个控制木质素生物合成,5 个调节细胞壁组织形成和稳定,3 个参与蔗糖和淀粉代谢,2 个在抗氧化酶系统中。这些具有高度相互关联网络的基因可能形成了玉米耐深播的复杂分子机制。本研究的结果将有助于构建玉米耐深播的分子模块。鉴定出的主要 QTL 和 MQTL 可用于标记辅助育种,以开发优良的玉米品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81ff/10094843/d5e9634caa4d/ijms-24-06770-g001.jpg

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