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Home > Archive>Volume 25, Issue 9, 2024 >1540-1551. DOI:10.13430/j.cnki.jpgr.20231227001
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Exploration of Elite Genetic Loci for Grain Nitrogen Content and Prediction of Candidate Genes in Maize
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Affiliation:

1.Crop Germplasm Research Institute， Henan Academy of Agricultural Sciences， Zhengzhou 450002;2.School of Life Sciences， Henan University， Kaifeng 475001

Fund Project:

Foundation projects： National Key Research and Development Program of China（2021YFD1200703）； Henan Province Science and Technology Research Program Project（222102110471，232102111103）； Technology Innovation Team Project of Henan Academy of Agricultural Sciences （2024TD19）； Independent Innovation Project of Henan Academy of Agricultural Sciences （2023ZC009）

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    Abstract:

    Nitrogen content in maize grains is closely related to maize quality， and the analysis of its genetic mechanism is great significance for maize quality breeding. In this study， we used 252 maize inbred lines as an association population， and used bayesian-information and linkage-disequilibrium iteratively nested keyway （BLINK）， fixed and random model circulating probability unification （FarmCPU）， general linear model （GLM）， mixed linear model （MLM）， multiple loci mixed model （MLMM）， and settlement of MLMs under progressively exclusive relationship （SUPER） to conduct genome-wide association analysis for grain nitrogen content. A total of thirteen SNPS （P<3.64E-07） were identified. Six， three， seven， four， two and four SNPs were detected by BLINK， FarmCPU， GLM， MLM， MLMM and SUPER methods， respectively. S3_ 8879213 can be detected in five methods， S9_146173702 can be detected in four methods， S5_114774030 and S7_ 182217338 can be detected in three methods， S1_10906326， and S1_177528813 can be detected in two methods. A total of twenty-five candidate genes were identified， among which Zm00001eb275080 and Zm00001eb330700 may be the important candidate genes affecting maize grain nitrogen content.

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History
  • Received:December 27,2023
  • Online: September 02,2024
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