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Integrating unconditional and conditional QTLs to dissect the genetic basis of stem mechanical strength in Brassica napus L

文献类型: 外文期刊

作者: Yu, Kunjiang 1 ; Zhang, Wei 2 ; Guo, Yue 2 ; Zheng, Ming 3 ; Chen, Feng 2 ; Sun, Chengming 2 ; Hu, Maolong 2 ; Tian, Enta 1 ;

作者机构: 1.Guizhou Univ, Coll Agr, Guiyang 550025, Peoples R China

2.Jiangsu Acad Agr Sci, Minist Agr & Rural Affairs, Inst Ind Crops, Key Lab Cotton & Rapeseed, Nanjing 210014, Peoples R China

3.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Oil Crops Res Inst, Key Lab Biol & Genet Improvement Oil Crops, Wuhan 430062, Peoples R China

关键词: Brassica napus l; Unconditional QTL; Conditional QTL; Stem mechanical strength; Genetic mechanism

期刊名称:EUPHYTICA ( 影响因子:1.895; 五年影响因子:2.181 )

ISSN: 0014-2336

年卷期: 2021 年 217 卷 3 期

页码:

收录情况: SCI

摘要: Stem mechanical strength (SMS) plays an important role in resisting stem dislodging. However, the genetic regulatory mechanisms underlying SMS in rapeseed remain unclear. In this study, a recombinant inbred line population containing 189 lines was used to investigate four SMS-related traits, namely stem breaking force (SBF), stem diameter (SD), stem weight (SW) and stem breaking strength (SBS). Accordingly, four conditional traits were also generated, namely SBF|SD, SBF|SW, SW|SD and SBS|SW. Quantitative trait locus (QTL) mapping for four unconditional SMS-related traits detected seven major QTLs, four of which were novel loci, with phenotypic contributions ranging from 10.41 to 27.22%. QTL mapping of conditional traits detected five major QTLs (including four novel loci), which explained 11.57 to 38.73% of the phenotypic variation. Comparative analyses between unconditional and conditional QTLs revealed that all 63 QTLs potentially govern biological processes (BPs) or unknown traits (UTs), which then influence SMS-related traits via 12 pathways. SBF was regulated by 13 unconditional QTLs via the QTL-BP-SD-SBF, QTL-BP-UTSD-SW-SBF, QTL-BP-SD-SW-SBF, and QTL-BP-UTSD&SW-SBF pathways, and by six conditional QTLs via the QTL-BP-SBF|SD-SBF and QTL-BP-SBF|SW-SBF pathways. SD was regulated by 18 unconditional QTLs via the QTL-BP-SD pathway, and SW by three regulatory pathways including QTL-BP-SD-SW, QTL-BP-UTSD-SW and QTL-BP-SW|SD-SW pathways. Finally, SBF potentially influences SMS via the SBF-SMS and SBF-SBS-SMS pathways. There were two additional regulatory pathways for SBS, namely QTL-BP-UTSW-SBS and QTL-BP-SBS|SW-SBS. In addition, 12 promising candidate genes were identified through multiple methods. These results contribute to our knowledge about the genetic regulatory mechanisms underlying SMS in Brassica napus.

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