当前位置: 首页 > 科学研究 > 最新论文 > 正文 >

Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments

时间: 2019-01-11 点击次数:


Journal:Plant Breeding

Author: Langlang Ma, Zhongrong Guan, Zhiteng Zhang, Xiaoxiang Zhang, Yanling Zhang, Chaoying Zou, Huanwei Peng, Guangtang Pan, Michael Lee, Yaou Shen*, Thomas Lubberstedt.

Abstract:

Leafrelated traits (leaf length, leaf width, leaf area and leaf angle) are very important for the yield of maize (Zea mays L) due to their influence on plant type. Therefore, it is necessary to identify quantitative trait loci (QTLs) for leafrelated traits. In this report, 221 doubled haploid lines (DHLs) of an IBM Syn10 DH population were provided for QTL mapping. In total, 54 QTLs were detected for leafrelated traits in single environments using a highdensity genetic linkage map. Among them, only eight common QTLs were identified across two or three environments, and the common QTLs for the four traits explained 4.38%–19.99% of the phenotypic variation. qLL21 (bin 2.09), qLW22 (bin 2.09), qLW63 (bin 6.07) and qLA52 (bin 2.09) were detected in previous studies, and qLL11, qLAr11, qLAr21 and qLA71 may be new QTLs. Notably, qLW63 and qLA52 were found to be major QTLs explaining 19.99% and 10.96% of the phenotypic variation, respectively. Interestingly, we found three pairs of QTLs (qLW22 and qLAr21, qLW81 and qLL82, qLL33 and qLAr33) that control different traits and that were located on the same chromosome or in a nearby location. Moreover, nine pairs of loci with epistatic effects were identified for the four traits. These results may provide the foundation for QTL fine mapping and for an understanding of the genetic basis of variation in leafrelated traits.



Link:https://onlinelibrary.wiley.com/doi/10.1111/pbr.12566

 

上一篇:Multi-locus genome-wide association study reveals the genetic architecture of stalk lodging resistance-related traits in maize

下一篇:Genetic dissection of maize embryonic callus regenerative capacity using multi-locus genome-wide association studies