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狗尾草重组自交系群体中株高动态数量性状位点的定位

Mapping of dynamic quantitative trait loci for plant height in a RIL population of foxtail millet ( L.).

作者信息

Han Kangni, Wang Zhilan, Shen Lin, Du Xiaofen, Lian Shichao, Li Yuxin, Li Yanfang, Tang Chuchu, Li Huixia, Zhang Linyi, Wang Jun

机构信息

Hou Ji Laboratory in Shanxi Province, Millet Research Institute, Shanxi Agricultural University, Changzhi, China.

College of Agriculture, Shanxi Agricultural University, Taigu, China.

出版信息

Front Plant Sci. 2024 Jul 24;15:1418328. doi: 10.3389/fpls.2024.1418328. eCollection 2024.

Abstract

Plant height (PH) is a crucial trait for strengthening lodging resistance and boosting yield in foxtail millet. To identify quantitative trait loci (QTL) and candidate genes associated with PH, we first developed a genetic map using a recombinant inbred line (RIL) population derived from a cross between Aininghuang and Jingu 21. Then, PH phenotyping data and four variations of best linear unbiased prediction (BLUP) were collected from nine environments and three development stages. Next, QTL mapping was conducted using both unconditional and conditional QTL methods. Subsequently, candidate genes were predicted via transcriptome analysis of parental samples at three developmental stages. The results revealed that the genetic map, based on re-sequencing, consisted of 4,360 bin markers spanning 1,016.06 cM with an average genetic distance of 0.23 cM. A total of 19 unconditional QTL, accounting for 5.23%-35.36% of the phenotypic variation explained (PVE), which included 7 major and 4 stable QTL, were identified. Meanwhile, 13 conditional QTL, explaining 5.88%-40.35% of PVE, including 5 major and 3 stable QTL, were discovered. Furthermore, four consistent and stable QTL were identified. Finally, eight candidate genes were predicted through RNA-seq and weighted gene co-expression network analysis (WGCNA). Those findings provide a crucial foundation for understanding the genetic mechanisms underlying PH development and facilitate molecular marker-assisted breeding of ideal plant types in foxtail millet.

摘要

株高是增强谷子抗倒伏能力和提高产量的关键性状。为了鉴定与株高相关的数量性状位点(QTL)和候选基因,我们首先利用艾宁黄和晋谷21杂交产生的重组自交系(RIL)群体构建了遗传图谱。然后,从9个环境和3个发育阶段收集了株高表型数据和最佳线性无偏预测(BLUP)的4种变异数据。接下来,使用无条件和条件QTL方法进行QTL定位。随后,通过对亲本样本在三个发育阶段的转录组分析预测候选基因。结果表明,基于重测序的遗传图谱由4360个bin标记组成,跨度为1016.06 cM,平均遗传距离为0.23 cM。共鉴定出19个无条件QTL,解释的表型变异(PVE)为5.23%-35.36%,其中包括7个主效QTL和4个稳定QTL。同时,发现了13个条件QTL,解释PVE的5.88%-40.35%,包括5个主效QTL和3个稳定QTL。此外,还鉴定出4个一致且稳定的QTL。最后,通过RNA测序和加权基因共表达网络分析(WGCNA)预测了8个候选基因。这些发现为理解株高发育的遗传机制提供了关键基础,并有助于谷子理想株型的分子标记辅助育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de68/11303304/a591494d9db6/fpls-15-1418328-g001.jpg

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