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首页> 外文期刊>Applied and Environmental Microbiology >Large-Scale Comparative Phenotypic and Genomic Analyses Reveal Ecological Preferences of Shewanella Species and Identify Metabolic Pathways Conserved at the Genus Level
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Large-Scale Comparative Phenotypic and Genomic Analyses Reveal Ecological Preferences of Shewanella Species and Identify Metabolic Pathways Conserved at the Genus Level

机译:大规模的比较表型和基因组分析揭示了希瓦氏菌物种的生态偏好,并确定了属水平保守的代谢途径。

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The use of comparative genomics for the study of different microbiological species has increased substantially as sequence technologies become more affordable. However, efforts to fully link a genotype to its phenotype remain limited to the development of one mutant at a time. In this study, we provided a high-throughput alternative to this limiting step by coupling comparative genomics to the use of phenotype arrays for five sequenced Shewanella strains. Positive phenotypes were obtained for 441 nutrients (C, N, P, and S sources), with N-based compounds being the most utilized for all strains. Many genes and pathways predicted by genome analyses were confirmed with the comparative phenotype assay, and three degradation pathways believed to be missing in Shewanella were confirmed as missing. A number of previously unknown gene products were predicted to be parts of pathways or to have a function, expanding the number of gene targets for future genetic analyses. Ecologically, the comparative high-throughput phenotype analysis provided insights into niche specialization among the five different strains. For example, Shewanella amazonensis strain SB2B, isolated from the Amazon River delta, was capable of utilizing 60 C compounds, whereas Shewanella sp. strain W3-18-1, isolated from deep marine sediment, utilized only 25 of them. In spite of the large number of nutrient sources yielding positive results, our study indicated that except for the N sources, they were not sufficiently informative to predict growth phenotypes from increasing evolutionary distances. Our results indicate the importance of phenotypic evaluation for confirming genome predictions. This strategy will accelerate the functional discovery of genes and provide an ecological framework for microbial genome sequencing projects.
机译:随着序列技术的价格越来越便宜,比较基因组学在不同微生物物种研究中的应用已大大增加。然而,将基因型与其表型完全连接的努力仍然限于一次开发一个突变体。在这项研究中,我们通过将比较基因组学与五种测序希瓦氏菌菌株的表型阵列结合使用,为这一限制性步骤提供了高通量替代方法。获得了441种养分(C,N,P和S来源)的阳性表型,其中所有菌株中N系化合物的利用率最高。通过比较表型测定法证实了通过基因组分析预测的许多基因和途径,并且证实了被认为在希瓦氏菌中缺失的三个降解途径。预测许多先前未知的基因产物将成为途径的一部分或具有某种功能,从而扩大了用于未来遗传分析的基因靶标的数量。从生态学上讲,高通量比较表型分析为五种不同菌株之间的生态位专业化提供了见识。例如,从亚马逊河三角洲分离的亚马逊希瓦氏菌菌株SB2B能够利用60 C化合物,而希瓦氏菌却能利用60 C化合物。从深海沉积物中分离出的W3-18-1菌株仅利用了其中的25种。尽管有大量的营养源产生了积极的结果,但我们的研究表明,除了氮源外,它们还不足以根据进化距离的增加来预测生长表型。我们的结果表明,表型评估对于确认基因组预测的重要性。该策略将加速基因的功能发现,并为微生物基因组测序项目提供生态框架。

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