AUTHOR=Liu Jindong , Zhan Junhui , Chen Jingguang , Lu Xiang , Zhi Shuai , Ye Guoyou TITLE=Validation of Genes Affecting Rice Grain Zinc Content Through Candidate Gene-Based Association Analysis JOURNAL=Frontiers in Genetics VOLUME=Volume 12 - 2021 YEAR=2021 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.701658 DOI=10.3389/fgene.2021.701658 ISSN=1664-8021 ABSTRACT=Several key genes governing Zn homeostasis and grain Zn content (GZC) have been functionally characterized. However, the effects of these genes in diverse breeding populations have not been evaluated, thus their availability in breeding is unclear. In this study, the effects of 65 genes related to rice zinc responses on grain zinc content (GZC) were evaluated using two panels of breeding lines and the superior haplotypes were identified. One panel consisted of mega varieties from International Rice Research Institute (IRRI), South Asia and Southeast Asia (SEA) and the other panel is breeding lines/varieties from South China (SC). In addition, a multi-parent advanced generation intercross (MAGIC) population, named as DC1, was also employed. Three analytical methods, single-locus mixed linear model (SL-MLM), multi-locus random-SNP-effect mixed linear model (mrMLM) and haplotype-based association analysis (Hap-AA) were applied. OsIDEF1 (explained 12.3% of the phenotypic variance) and OsZIFL7 (8.3-9.1%%), OsZIP7 (18.9%) and OsIRT1 (17.9%) were identified by SL-MLM in SEA and SC, respectively, whereas no gene was significantly associated with GZC in DC1. Totally, five (OsNRAMP6, OsYSL15, OsIRT1, OsIDEF1 and OsZIFL7, 7.70-15.39%), three (OsFRDL1, OsIRT1 and OsZIP7, 11.87-17.99%) and two (OsYSL7 and OsZIP7, 9.85-10.57%) genes were detected significantly associated with GZC in SEA, SC and DC1 by mrMLM, respectively. Hap-AA indicated that Hap1-OsNRAMP5, Hap5-OsZIP4, Hap1-OsIRT1, Hap3-OsNRAMP6, Hap6-OsMTP1, Hap6-OsYSL15 had the largest effects for GZC in SEA, whereas the Hap3-OsOPT7, Hap4-OsIRT2, Hap4-OsZIP7, Hap5-OsIRT1 and Hap5-OsSAMS1 were the most significant in the SC population. Besides, superior alleles were also identified for the significant genes. The genes significantly associated with GZC and their superior haplotypes identified in different panels could be used in enhancing GZC through molecular breeding, which could further address the problem of Zn malnutrition among rice consumers.