沙门氏菌sRNA相关的基因组岛。

Q2 Medicine In Silico Biology Pub Date : 2010-02-15 DOI:10.1145/1722024.1722058
J. Sridhar, K. Kavitha
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引用次数: 0

摘要

基因组岛是基因组的一部分,它有水平起源的证据。目前的工作是我们早期工作的延续,通过分析三株大肠杆菌和一株志贺氏菌的基因组,确定了小rna下游的25个区域作为基因组岛整合的热点。在此之前,基因组岛仅在肠杆菌基因组中的tRNA/tmRNA基因上被确定。目前的工作报告了11种不同的小rna作为12种沙门氏菌菌株基因组岛的有效整合位点。tRNAcc 1.0软件包已被用于鉴定与小rna相关的基因组岛,如证监会、rprA、ryeB、sraD、sroB、ssrS、rydB、micF、rnpB、rtT和spf。给出了36个这样的小RNA相关基因组岛的坐标。此外,利用毒力因子数据库、GenBank注释特征、非典型序列组成和基因组块重排分析和验证了鉴定出的基因组岛内编码的基因组序列的性质。
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sRNA associated genomic islands in Salmonella spp.
Genomic Islands are parts of a genome that has evidence of horizontal origins. The present work is a continuation of our earlier work that identified 25 regions downstream of the small RNAs as hotspots of genomic island integration by analyzing three strains of E. coli and one strain of Shigella spp genomes. Till that work, genomic islands have been identified only at tRNA/tmRNA genes in the enterobacterial genomes. Current work reports 11 distinct small RNAs as potent integration sites for genomic islands in 12 Salmonella spp strains. The tRNAcc 1.0 software package has been used to identify genomic islands associated with small RNAs csrC, rprA, ryeB, sraD, sroB, ssrS, rydB, micF, rnpB rtT, and spf. The coordinates of 36 such small RNA associated genomic islands are presented. Also, the nature of genomic sequences encoded within the identified genomic islands were analyzed and validated using virulence factors database, GenBank annotation features, atypical sequence compositions and the genomic block rearrangements.
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来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
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