Transcriptome sequencing reveals the roles of transcription factors in modulating genotype by nitrogen interaction in maize.
Transcriptome sequencing reveals the roles of transcription factors in modulating genotype by nitrogen interaction in maize.
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转录组测序揭示了转录因子在玉米中通过氮相互作用调节基因型的作用
DOI：
10.1007/s00299-015-1822-9
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发表时间：
2015-10
影响因子：
6.2
通讯作者：
Tian F
中科院分区：
文献类型：
--
作者：
Chen Q;Liu Z;Wang B;Wang X;Lai J;Tian F
关键信息玉米的全球转录组分析揭示了基因型之间的氮响应差异，并暗示转录因子通过基因表达水平上的氮相互作用驱动基因型的关键作用。摘要开发氮高效品种对于可持续和高产农业至关重要。植物的氮利用效率高度依赖于环境和遗传变异的相互作用并导致适应性表型。本研究利用转录组测序对在田间条件下正常和低氮水平下生长的两个优秀中国玉米自交系进行氮 (G × N) 相互作用分析的综合基因型。我们证明，两种玉米自交系对氮素有效性变化表现出截然不同的农艺学和转录组学反应。总共检测到 96 个具有显着 G × N 相互作用的基因。在表征了 G × N 相互作用基因的表达模式后，我们发现 G × N 相互作用基因倾向于表现出条件特异性差异表达。 G×N互作基因的功能注释表明，许多不同种类的基因参与G×N互作，但检测到转录因子显着富集，特别是AP2/EREBP和WRKY家族，表明转录因子可能在玉米氮响应基因表达水平上驱动G×N互作中发挥重要作用。总而言之，这些结果不仅为玉米氮响应机制提供了新的见解，为进一步表征奠定了重要基础，而且通过胁迫相互作用对其他基因型也具有重要意义。
Key messageGlobal transcriptome analysis in maize revealed differential nitrogen response between genotypes and implicate a crucial role of transcription factors in driving genotype by nitrogen interactions at gene expression level.AbstractDeveloping nitrogen-efficient cultivars are essential for sustainable and productive agriculture. Nitrogen use efficiency of plants is highly dependent on the interaction of environmental and genetic variation and results in adaptive phenotypes. This study used transcriptome sequencing to perform a comprehensive genotype by nitrogen (G × N) interaction analysis for two elite Chinese maize inbreds grown at normal and low nitrogen levels in field conditions. We demonstrated that the two maize inbreds showed contrasting agronomic and transcriptomic responses to changes in nitrogen availability. A total of 96 genes with a significant G × N interaction were detected. After characterizing the expression patterns of G × N interaction genes, we found that the G × N interaction genes tended to show condition-specific differential expression. The functional annotations of G × N interaction genes revealed that many different kinds of genes were involved in G × N interactions, but a significant enrichment for transcription factors was detected, particularly the AP2/EREBP and WRKY family, suggesting that transcription factors might play important roles in driving G × N interaction at gene expression level for nitrogen response in maize. Taken together, these results not only provide novel insights into the mechanism of nitrogen response in maize and set important basis for further characterization but also have important implications for other genotype by stress interaction.