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

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 bet...

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Bibliographic Details
Published in:Frontiers in plant science 2024-07, Vol.15, p.1418328
Main Authors: Han, Kangni, Wang, Zhilan, Shen, Lin, Du, Xiaofen, Lian, Shichao, Li, Yuxin, Li, Yanfang, Tang, Chuchu, Li, Huixia, Zhang, Linyi, Wang, Jun
Format: Article
Language:English
Subjects:
BLUP
candidate gene
dynamic QTL mapping
foxtail millet
plant height
Plant Science
RNA-Seq
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Summary: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.
ISSN:1664-462X
1664-462X
DOI:10.3389/fpls.2024.1418328