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

机译:从全基因组测序项目中提取系统发育信息:乳酸菌作为测试用例

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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.
机译:越来越多的各种原核分类群完全基因组序列的可用性导致引入新型方法来推断细菌之间的系统发育关系。在本研究中,将16S rRNA基因和九个内脏基因的序列与共同推定的令推定的原言蛋白质编码基因,基因阶,二核苷酸相对丰度和密码子使用的分数进行比较,其中11种属于乳酸的物种的11个基因组细菌。通常,在各种方法获得的结果之间存在良好的相关性,尽管很明显,在某些数据集中存在较强的系统发育信号,而不是其他方法,并且不同的参数具有不同的分类分辨率。它似乎基于来自全基因组测序项目的不同类型信息的树木不提供与更传统的基于对准的方法相比的细菌分类群之间的系统发育关系的许多其他信息。然而,预计这些新颖的信息形式的研究将具有其在分类法中的价值,以确定共享哪种基因,当进化历史中的基因或基因组丢失时,以检测水平转移基因的存在和/或确认或增强来自传统方法的系统发育信号。虽然这些结论是基于相对较小的数据集,但它们在很大程度上与其他研究一致,并且预计在比较其他基因组时将观察到类似的趋势。

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