Mining for low-nitrogen tolerance genes by integrating meta-analysis and large-scale gene expression data from maize

文献类型： 外文期刊

第一作者： Liu, Hailan

作者： Liu, Hailan;Su Shunzong;Zhang, Suzhi;Wu, Ling;Liu, Dan;Gao, Shibin;Luo, Bowen;Liu, Hailan;Su Shunzong;Zhang, Suzhi;Wu, Ling;Liu, Dan;Gao, Shibin;Tang, Haitao

作者机构：

关键词： Low-N tolerance;Maize;Quantitative trait loci;Consensus QTL;Candidate genes

期刊名称：EUPHYTICA （ 影响因子：1.895； 五年影响因子：2.181 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Nitrogen (N) is the most important macronutrient for plant growth and development. Hence, understanding genetic architectures and functional genes involved in the response to N deficiency can greatly facilitate the development of low-N-tolerant cultivars. In this study, we collected 212 quantitative trait loci (QTL) of agronomically important traits under low-N stress conditions in maize. We then identified 21 consensus QTL (cQTL) strongly induced for low-N tolerance after excluding overlapping cQTL containing QTL simultaneously identified in meta-analyses of studies performed under other environmental conditions. Among the 21 cQTL, 30 candidate maize genes were identified from maize large-scale differential expression data derived from analyses of low-N stress, and the 12 most important maize orthologs were identified using homologous BLAST analyses of genes with known functions in N use efficiency in model plants. Furthermore, maize orthologs associated with low-N tolerance and metabolism were also predicted using large-scale expression data from other model plants. The present genetic loci and candidate genes indicate the molecular mechanisms of low-N tolerance in maize and may provide information for QTL fine mapping and molecular marker-assisted selection.

分类号： S3

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