Meta-analysis of QTL and Mining of Candidate Genes for Quality Traits in Wheat (Triticum aestivum)
LI Na1, WANG Peng1, KONG Bin-Xue1, MA Jing-Fu1, DOU Jia-Xin1, CHEN Tao1, ZHANG Pei-Pei2, LIU Yuan1, YANG De-Long1,2,*
1 College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; 2 State Key Laboratory of Aridland Crop Science, Lanzhou 730070, China
Abstract：Wheat (Triticum aestivum) quality trait is a complex quantitative trait controlled by multiple genes. It is of great significance to explore the important genomic regions and candidate genes of wheat quality for molecular genetic improvement. In this study, the mapping integration and meta-analysis were conducted of 293 initial QTLs for quality traits from 31 QTL mapping studies in wheat, and 40 meta quantitative trait loci (MQTLs) were predicted which included 35 MQTLs for grain hardness (GH), 23 MQTLs for sedimentation value (SV) and 16 MQTLs for starch content (SC). The average confidence interval of these MQTLs was 3.87 cM, which was 3.82 times smaller than the average confidence interval of the initial QTL (14.80 cM), The average confidence interval of the 5 core MQTLs was reduced to 0.80 cM. A total of 839 candidate genes were obtained from the 40 MQTLs intervals by homology alignment and Ensembl Plants sequence information. Based on transcriptome date, 113 candidate genes with high expression in grain endosperm and aleurone layer were screened. The important genomic regions and candidate genes obtained in this study will provide a theoretical basis for the molecular genetic improvement of quality traits in wheat.
李娜, 王鹏, 孔斌雪, 马靖福, 窦佳欣, 陈涛, 张沛沛, 刘媛, 杨德龙. 小麦品质性状QTL元分析及候选基因挖掘[J]. 农业生物技术学报, 2024, 32(1): 11-25.
LI Na, WANG Peng, KONG Bin-Xue, MA Jing-Fu, DOU Jia-Xin, CHEN Tao, ZHANG Pei-Pei, LIU Yuan, YANG De-Long. Meta-analysis of QTL and Mining of Candidate Genes for Quality Traits in Wheat (Triticum aestivum). 农业生物技术学报, 2024, 32(1): 11-25.
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