Mining maize flowering traits related candidate genes based on GWAS and WGCNA data

The flowering time is one of the important traits in maize.It is of great significance to analyze the genetic basis and to mine the key core genes in flowering for maize varieties with wide adaptability.A natural population consisting of 580 maize inbred lines were planted for three years,to determi...

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Bibliographic Details
Published inZuo wu xue bao Vol. 49; no. 12; p. 3261
Main Authors Qian, Fu, Zhang, Zhan-Qin, Chen, Shu-Bin, Ding, Yong-Fu, Sang, Zhi-Qin, Li, Wei-Hua
Format Journal Article
LanguageChinese
Published Beijing Chinese Academy of Agricultural Sciences (CAAS) 01.01.2023
Subjects
Adaptability
Association analysis
Corn
Developmental stages
Flowering
Gene expression
Genes
Genomes
Inbreeding
Molecular modelling
Network analysis
Single-nucleotide polymorphism
Transcription factors
Transcriptomes
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Summary:The flowering time is one of the important traits in maize.It is of great significance to analyze the genetic basis and to mine the key core genes in flowering for maize varieties with wide adaptability.A natural population consisting of 580 maize inbred lines were planted for three years,to determine the three flowering traits（including days to anthesis,days to silking,and anthesis silking interval）.Genome-wide association analysis was conducted using 31,826 SNPs distributed throughout the whole genome.Combined with transcriptome data of 14 different developmental stages of inbred line B73,weighted gene co-expression network analysis was performed to select tissue specific modules and key genes related to maize flowering time.A total of 14SNPs for four flower traits under multiple environments and 10 potential candidate genes were mined by GWAS,WGCNA was used to mine 17 potential candidate genes in flowering time,three candidate genes were jointly mined by both approaches.Zm00001d052180 encodes a MADS box tr
ISSN:0496-3490