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通过比较基因组学鉴定豆科植物共生菌苜蓿中华根瘤菌中差异表达的小非编码RNA

Identification of differentially expressed small non-coding RNAs in the legume endosymbiont Sinorhizobium meliloti by comparative genomics.

作者信息

del Val Coral, Rivas Elena, Torres-Quesada Omar, Toro Nicolás, Jiménez-Zurdo José I

机构信息

Department of Computer Science and Artificial Intelligence, E.T.S.I. Informatics, Universidad de Granada, Daniel Saucedo s/n, 18071 Granada, Spain.

出版信息

Mol Microbiol. 2007 Dec;66(5):1080-91. doi: 10.1111/j.1365-2958.2007.05978.x. Epub 2007 Oct 25.

DOI:10.1111/j.1365-2958.2007.05978.x
PMID:17971083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2780559/
Abstract

Bacterial small non-coding RNAs (sRNAs) are being recognized as novel widespread regulators of gene expression in response to environmental signals. Here, we present the first search for sRNA-encoding genes in the nitrogen-fixing endosymbiont Sinorhizobium meliloti, performed by a genome-wide computational analysis of its intergenic regions. Comparative sequence data from eight related alpha-proteobacteria were obtained, and the interspecies pairwise alignments were scored with the programs eQRNA and RNAz as complementary predictive tools to identify conserved and stable secondary structures corresponding to putative non-coding RNAs. Northern experiments confirmed that eight of the predicted loci, selected among the original 32 candidates as most probable sRNA genes, expressed small transcripts. This result supports the combined use of eQRNA and RNAz as a robust strategy to identify novel sRNAs in bacteria. Furthermore, seven of the transcripts accumulated differentially in free-living and symbiotic conditions. Experimental mapping of the 5'-ends of the detected transcripts revealed that their encoding genes are organized in autonomous transcription units with recognizable promoter and, in most cases, termination signatures. These findings suggest novel regulatory functions for sRNAs related to the interactions of alpha-proteobacteria with their eukaryotic hosts.

摘要

细菌小非编码RNA(sRNA)正被视为响应环境信号的新型广泛基因表达调节因子。在此,我们首次在固氮内共生菌苜蓿中华根瘤菌中搜索编码sRNA的基因,通过对其基因间区域进行全基因组计算分析来完成。获取了来自八个相关α-变形菌的比较序列数据,并用eQRNA和RNAz程序对种间两两比对进行评分,作为互补的预测工具,以识别与假定非编码RNA相对应的保守且稳定的二级结构。Northern实验证实,在最初的32个候选基因中作为最有可能的sRNA基因选出的8个预测位点表达小转录本。这一结果支持将eQRNA和RNAz结合使用作为在细菌中鉴定新型sRNA的可靠策略。此外,7种转录本在自由生活和共生条件下差异积累。对检测到的转录本5'端进行实验定位表明,它们的编码基因组织成具有可识别启动子且在大多数情况下具有终止特征的自主转录单元。这些发现提示了与α-变形菌与其真核宿主相互作用相关的sRNA的新型调节功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/b420f868e429/mmi0066-1080-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/fc4d6b8483c1/mmi0066-1080-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/778ed5037719/mmi0066-1080-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/b420f868e429/mmi0066-1080-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/fc4d6b8483c1/mmi0066-1080-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/778ed5037719/mmi0066-1080-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/2780559/b420f868e429/mmi0066-1080-f3.jpg

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