Extracting phylogenetic information from whole-genome sequencing projects: the lactic acid bacteria as a test case

Author:

Coenye Tom1,Vandamme Peter1

Affiliation:

1. Laboratorium voor Microbiologie, Universiteit Gent, K.L. Ledeganckstraat 35, B-9000 Gent, Belgium

Abstract

The availability of an ever increasing number of complete genome sequences of diverse prokaryotic taxa has led to the introduction of novel approaches to infer phylogenetic relationships among bacteria. In the present study the sequences of the 16S rRNA gene and nine housekeeping genes were compared with the fraction of shared putative orthologous protein-encoding genes, conservation of gene order, dinucleotide relative abundance and codon usage among 11 genomes of species belonging to the lactic acid bacteria. In general there is a good correlation between the results obtained with various approaches, although it is clear that there is a stronger phylogenetic signal in some datasets than in others, and that different parameters have different taxonomic resolutions. It appears that trees based on different kinds of information derived from whole-genome sequencing projects do not provide much additional information about the phylogenetic relationships among bacterial taxa compared to more traditional alignment-based methods. Nevertheless, it is expected that the study of these novel forms of information will have its value in taxonomy, to determine which genes are shared, when genes or sets of genes were lost in evolutionary history, to detect the presence of horizontally transferred genes and/or confirm or enhance the phylogenetic signal derived from traditional methods. Although these conclusions are based on a relatively small dataset, they are largely in agreement with other studies and it is anticipated that similar trends will be observed when comparing other genomes.

Publisher

Microbiology Society

Subject

Microbiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3