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利用高通量基因组平铺芯片鉴定肺炎链球菌 TIGR4 中的新型非编码小 RNA。

Identification of novel non-coding small RNAs from Streptococcus pneumoniae TIGR4 using high-resolution genome tiling arrays.

机构信息

Department of Basic sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.

出版信息

BMC Genomics. 2010 Jun 3;11:350. doi: 10.1186/1471-2164-11-350.

Abstract

BACKGROUND

The identification of non-coding transcripts in human, mouse, and Escherichia coli has revealed their widespread occurrence and functional importance in both eukaryotic and prokaryotic life. In prokaryotes, studies have shown that non-coding transcripts participate in a broad range of cellular functions like gene regulation, stress and virulence. However, very little is known about non-coding transcripts in Streptococcus pneumoniae (pneumococcus), an obligate human respiratory pathogen responsible for significant worldwide morbidity and mortality. Tiling microarrays enable genome wide mRNA profiling as well as identification of novel transcripts at a high-resolution.

RESULTS

Here, we describe a high-resolution transcription map of the S. pneumoniae clinical isolate TIGR4 using genomic tiling arrays. Our results indicate that approximately 66% of the genome is expressed under our experimental conditions. We identified a total of 50 non-coding small RNAs (sRNAs) from the intergenic regions, of which 36 had no predicted function. Half of the identified sRNA sequences were found to be unique to S. pneumoniae genome. We identified eight overrepresented sequence motifs among sRNA sequences that correspond to sRNAs in different functional categories. Tiling arrays also identified approximately 202 operon structures in the genome.

CONCLUSIONS

In summary, the pneumococcal operon structures and novel sRNAs identified in this study enhance our understanding of the complexity and extent of the pneumococcal 'expressed' genome. Furthermore, the results of this study open up new avenues of research for understanding the complex RNA regulatory network governing S. pneumoniae physiology and virulence.

摘要

背景

人类、小鼠和大肠杆菌中非编码转录本的鉴定揭示了它们在真核生物和原核生物中广泛存在和重要的功能。在原核生物中,研究表明非编码转录本参与了广泛的细胞功能,如基因调控、应激和毒力。然而,对于肺炎链球菌(肺炎球菌)中的非编码转录本知之甚少,肺炎球菌是一种专性人类呼吸道病原体,可导致严重的全球发病率和死亡率。平铺微阵列能够进行全基因组 mRNA 分析,并以高分辨率鉴定新的转录本。

结果

在这里,我们使用基因组平铺阵列描述了 S. pneumoniae 临床分离株 TIGR4 的高分辨率转录图谱。我们的结果表明,大约 66%的基因组在我们的实验条件下表达。我们总共从基因间区鉴定了 50 个非编码小 RNA(sRNA),其中 36 个没有预测功能。鉴定的 sRNA 序列中有一半是肺炎球菌基因组所特有的。我们在 sRNA 序列中发现了八个代表性序列基序,它们对应于不同功能类别的 sRNA。平铺阵列还在基因组中鉴定了大约 202 个操纵子结构。

结论

总之,本研究中鉴定的肺炎球菌操纵子结构和新的 sRNA 增强了我们对肺炎球菌“表达”基因组的复杂性和广泛性的理解。此外,这项研究的结果为了解肺炎球菌生理和毒力的复杂 RNA 调控网络开辟了新的研究途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d1/2887815/fa089940151b/1471-2164-11-350-1.jpg

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