Meta-analysis of QTL and Prediction of Candidate Genes for Water-Soluble Carbohydrate Content in Wheat (Triticum aestivum) Stem
TIAN Tian1,2, LIU Yuan2, ZHANG Pei-Pei1, CHEN Tao2, WANG Cai-Xiang2, CHENG Hong-Bo2, LI Meng-Fei1,2, YANG De-Long1,2,*
1 Gansu Provincial Key Laboratory of Aridland Crop Science, Lanzhou 730070, China; 2 College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
Abstract：Water-soluble carbohydrate (WSC) reserved in wheat stems is one of the important carbon sources for grain filling, and its inheritance is controlled by polygenes. It is an effective way for wheat molecular genetic improvement to explore the major QTL underlying WSC content through meta-analysis. In this study the bioinformatics strategy was used to integrate, and meta-analyze the previously reported 239 QTLs that involved in stem WSC content from different genetic populations in wheat, based on a high-density genetic map as a reference map. A consensus genetic map for stem WSC QTL was established, and a total of 39 meta QTLs (MQTL) which has the minimum confidence interval of 0.50 cM.These MQTLs were mainly distributed on chromosomes 1A, 2B, 2D, 3A, 3B, 4A, 4B, 6A, 6B, 7B and 7D, each of which carried 1 to 2 QTL clusters. In the marker interval of Eps-1Am~Xgwm99 on chromosome 1A, seven candidate genes related to stem WSC content were predicted. This study provides a reference for further shortening the confidence interval QTL wheat stem WSC content and QTL molecular marker-assisted selection breeding.
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