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首页> 外文期刊>Russian Journal of Plant Physiology >Comparative transcriptome analysis of Triticum aestivum in response to nitrogen stress
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Comparative transcriptome analysis of Triticum aestivum in response to nitrogen stress

机译:小麦对氮胁迫的转录组比较分析

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Nitrogen (N) is an essential macronutrient for plant growth and development. Insufficient supply of N leads to extensive physiological and biochemical changes in plant. However, the molecular mechanisms of response to N are still unknown. In this study, global transcriptome profiles of wheat (Triticum aestivum L.) leaf and root under limited and sufficient N conditions were generated using Illumina RNA-sequencing. Then SeqPrep and Sickle were used to filter the raw reads and genes were assembled and predicted using Trinity. The Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) for wheat transcripts were obtained from GO and KEGG databases, respectively. Clusters of orthologous group terms were obtained using Blastx 2.2.24+ in STRING 9.0. Differentially expressed genes (DEGs) were then screened using edgeR software with false discovery rate 0.05 and |log(2)FC| a parts per thousand yen 1, followed by the protein-protein interaction (PPI) network construction for DEGs using Cytoscape. As a result, 126956 transcripts were obtained. Among them, 47590 transcripts were categorized into 56 GO terms, such as metabolic process; 25607 transcripts were assigned to 42 KEGG pathways, such as metabolic pathways; and 27194 unique sequences were classified into 25 COG categories, such as transcription. Moreover, 1267 (179 up-regulated and 1088 down-regulated) and 1996 DEGs (868 up-regulated and 1128 down-regulated) were obtained in leaf and root, respectively. In the PPI networks, BRADI1G77050.1, BRADI2G40600.1 and rpl2 were found to be the hub nodes. Thus, these screened DEGs might be associated with N metabolism and stress response in wheat, especially BRADI1G77050.1, BRADI2G40600.1 and rpl2.
机译:氮(N)是植物生长和发育必不可少的大量营养素。氮供应不足会导致植物发生大量生理和生化变化。然而,对氮的响应的分子机制仍是未知的。在这项研究中,使用Illumina RNA测序技术在有限和充足的氮条件下生成了小麦(Triticum aestivum L.)叶片和根的全局转录组图谱。然后使用SeqPrep和Sickle过滤原始读数,并使用Trinity组装和预测基因。小麦转录本的基因本体论(GO)术语和《京都基因与基因组百科全书》(KEGG)分别从GO和KEGG数据库获得。在STRING 9.0中使用Blastx 2.2.24+获得了直系同源词组。然后使用edgeR软件以错误发现率<0.05和| log(2)FC |筛选差异表达基因(DEG)。每千日元1个零件,然后使用Cytoscape构建DEG的蛋白质-蛋白质相互作用(PPI)网络。结果,获得了126956个转录物。其中,将47590个转录本分为56个GO术语,如代谢过程;将25607个转录本分配给42条KEGG途径,例如代谢途径; 27194个独特序列被分为25个COG类别,例如转录。此外,在叶和根中分别获得了1267个(上调179个和1088个下调)和1996个DEG(868个上调和1128个下调)。在PPI网络中,发现BRADI1G77050.1,BRADI2G40600.1和rpl2是集线器节点。因此,这些筛选的DEGs可能与小麦的N代谢和胁迫反应有关,尤其是BRADI1G77050.1,BRADI2G40600.1和rpl2。

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