Integrated IBD Analysis, GWAS Analysis and Transcriptome Analysis to Identify the Candidate Genes for White Spot Disease in Maize
文献类型： 外文期刊
作者： Wang, Dong 1 ; He, Yue 1 ; Nie, Lei 1 ; Guo, Shuang 1 ; Tu, Liang 2 ; Guo, Xiangyang 2 ; Wang, Angui 2 ; Liu, Pengfei 2 ; Zhu, Yunfang 2 ; Wu, Xun 2 ; Chen, Zehui 2 ;
作者机构： 1.Guizhou Univ, Coll Agr, Guiyang 550006, Peoples R China
2.Guizhou Acad Agr Sci, Inst Upland Food Crops, Guiyang 550006, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Crop Genet Resources & Germplasm Innovat K, Guiyang 550006, Peoples R China
关键词： maize (Zea mays L; ); identity-by-descent segments; genome-wide association study; transcriptome analysis; white spot disease
期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：5.6； 五年影响因子：6.2 ）
ISSN： 1661-6596
年卷期： 2023 年 24 卷 12 期
页码：
收录情况： SCI
摘要： Foundation parents (FPs) play an irreplaceable role in maize breeding practices. Maize white spot (MWS) is an important disease in Southwest China that always seriously reduces production. However, knowledge about the genetic mechanism of MWS resistance is limited. In this paper, a panel of 143 elite lines were collected and genotyped by using the MaizeSNP50 chip with approximately 60,000 single nucleotide polymorphisms (SNPs) and evaluated for resistance to MWS among 3 environments, and a genome-wide association study (GWAS) and transcriptome analysis were integrated to reveal the function of the identity-by-descent (IBD) segments for MWS. The results showed that (1) 225 IBD segments were identified only in the FP QB512, 192 were found only in the FP QR273 and 197 were found only in the FP HCL645. (2) The GWAS results showed that 15 common quantitative trait nucleotides (QTNs) were associated with MWS. Interestingly, SYN10137 and PZA00131.14 were in the IBD segments of QB512, and the SYN10137-PZA00131.14 region existed in more than 58% of QR273 & PRIME;s descendants. (3) By integrating the GWAS and transcriptome analysis, Zm00001d031875 was found to located in the region of SYN10137-PZA00131.14. These results provide some new insights for the detection of MWS's genetic variation mechanisms.
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