The construction of a maize-teosinte introgression population and quantitative trait loci analysis of their 21 agronomic traits
Year: 2024
Type: article
Abstract: Teosinte is a progenitor species of maize ( Zea mays ssp . mays ) that retains a significant reservoir of genetic resources unaltered via the domestication process. To harness and explore the genetic reservoirs inherent in teosinte, we used the cultivated publicly inbred line H95 and wild species PI566673 ( Zea mays ssp . mexicana ) to develop a set of introgression lines (ILs), including 366 BC 2 F 5 lines. Using these lines, 12481 high-quality polymorphic homozygous single nucleotide polymorphisms were converted into 2358 bin markers based on Genotyping by Target Sequencing technology. The homozygous introgression ratio in the ILs was approximately 12.1 % and the heterozygous introgression ratio was approximately 5.7 %. Based on the population phenotypic data across 21 important agronomic traits collected in Sanya and Beijing, 185 and 156 quantitative trait loci (QTLs) were detected in Sanya and Beijing, respectively, with 64 stable QTLs detected in both locations. We detected 12 QTL clusters spanning 10 chromosomes consisting of diverse QTLs related to yield traits such as grain size and weight. In addition, we identified useful materials in the ILs for further gene cloning of related variations. For example, some heterogeneous inbred families with superior genetic purity , shorter target heterozygotes, and some ILs exhibit clear morphological variation associated with plant growth, development, and domestication, manifesting traits such as white stalks, sharp seeds, and cob shattering. In conclusion, our results provide a robust foundation for delving into the genetic reservoirs of teosinte, presenting a wealth of genetic resources and offering insight into the genetic architecture underlying maize agronomic traits .
Source: Plant Science
Authors: Yiping Cui, Xin Xiao, Mumu Wang, Mengjiao Zhu, Nana Yuyama, Jingru Zheng, Candong Xiong, Jiangjiang Liu, Sumeng Wang, Yuru Yang, Jun Chen, Hongwei Cai
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $3,650
OpenAlex ID: W4401612168
