Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize
Kernel row number (KRN) is a crucial trait in maize that has a high impact on yield. However, KRN is a typical quantitative trait with only a few genes being verified so far. Here, two maize inbred lines with contrasting KRN were used to perform transcriptome analysis at five early ear developmental...
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PeerJ Inc.
2025-03-01
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| author | Shukai Wang Yancui Wang Xitong Xu Dusheng Lu Baokun Li Yuxin Zhao Senan Cheng Zhenhong Li Cuixia Chen |
| author_facet | Shukai Wang Yancui Wang Xitong Xu Dusheng Lu Baokun Li Yuxin Zhao Senan Cheng Zhenhong Li Cuixia Chen |
| author_sort | Shukai Wang |
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| description | Kernel row number (KRN) is a crucial trait in maize that has a high impact on yield. However, KRN is a typical quantitative trait with only a few genes being verified so far. Here, two maize inbred lines with contrasting KRN were used to perform transcriptome analysis at five early ear developmental stages. Pairwise differential gene expression analyses were performed, and a total of 11,897 line-specific differentially expressed genes (DEGs) were detected between the two lines across the five development stages. Clustering analysis of line-specific DEGs revealed that the trends of gene expression changed significantly in the five stages, thus the five stages were further divided into two development phases: Phase I (V6-V8) and Phase II (V9-V10). Gene ontology enrichment analysis revealed that different transcriptional pathways were activated in the two phases. DEGs in Phase I were significantly enriched in morphogenesis and differentiation processes and hormone regulation. Of the 5,850 line-specific DEGs in Phase I, 2,132 genes were in known quantitative trait loci (QTLs) or flanking regions of quantitative trait nucleotides (QTNs), of which 92 were repeatedly detected in QTLs where QTNs also exist. The 92 high-probability candidate genes included development-related transcription factors (SBP-box and AP2/EREBP TFs) as well as genes involved in hormone homeostasis and signaling. Our study provides genetic resources for the elucidation of the molecular mechanisms of KRN development and reference for the cloning of candidate genes. |
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| spelling | doaj-art-e4c44262c6e9466e9d9a9b7106f4287a2025-08-20T01:55:48ZengPeerJ Inc.PeerJ2167-83592025-03-0113e1914310.7717/peerj.19143Comparative transcriptome analysis identified candidate genes associated with kernel row number in maizeShukai Wang0Yancui Wang1Xitong Xu2Dusheng Lu3Baokun Li4Yuxin Zhao5Senan Cheng6Zhenhong Li7Cuixia Chen8College of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaCollege of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaKernel row number (KRN) is a crucial trait in maize that has a high impact on yield. However, KRN is a typical quantitative trait with only a few genes being verified so far. Here, two maize inbred lines with contrasting KRN were used to perform transcriptome analysis at five early ear developmental stages. Pairwise differential gene expression analyses were performed, and a total of 11,897 line-specific differentially expressed genes (DEGs) were detected between the two lines across the five development stages. Clustering analysis of line-specific DEGs revealed that the trends of gene expression changed significantly in the five stages, thus the five stages were further divided into two development phases: Phase I (V6-V8) and Phase II (V9-V10). Gene ontology enrichment analysis revealed that different transcriptional pathways were activated in the two phases. DEGs in Phase I were significantly enriched in morphogenesis and differentiation processes and hormone regulation. Of the 5,850 line-specific DEGs in Phase I, 2,132 genes were in known quantitative trait loci (QTLs) or flanking regions of quantitative trait nucleotides (QTNs), of which 92 were repeatedly detected in QTLs where QTNs also exist. The 92 high-probability candidate genes included development-related transcription factors (SBP-box and AP2/EREBP TFs) as well as genes involved in hormone homeostasis and signaling. Our study provides genetic resources for the elucidation of the molecular mechanisms of KRN development and reference for the cloning of candidate genes.https://peerj.com/articles/19143.pdfKernel row numberQuantitative trait locusComparative transcriptomeMaize |
| spellingShingle | Shukai Wang Yancui Wang Xitong Xu Dusheng Lu Baokun Li Yuxin Zhao Senan Cheng Zhenhong Li Cuixia Chen Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize PeerJ Kernel row number Quantitative trait locus Comparative transcriptome Maize |
| title | Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| title_full | Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| title_fullStr | Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| title_full_unstemmed | Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| title_short | Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| title_sort | comparative transcriptome analysis identified candidate genes associated with kernel row number in maize |
| topic | Kernel row number Quantitative trait locus Comparative transcriptome Maize |
| url | https://peerj.com/articles/19143.pdf |
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