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大规模比较表型和基因组分析揭示了希瓦氏菌属物种的生态偏好,并确定了在属水平上保守的代谢途径。

Large-scale comparative phenotypic and genomic analyses reveal ecological preferences of shewanella species and identify metabolic pathways conserved at the genus level.

机构信息

University of Texas, Arlington, Department of Biology, 501 S. Nedderman Drive, Arlington, TX 76019, USA.

出版信息

Appl Environ Microbiol. 2011 Aug;77(15):5352-60. doi: 10.1128/AEM.00097-11. Epub 2011 Jun 3.

Abstract

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.

摘要

随着测序技术变得更加经济实惠,比较基因组学在研究不同微生物物种方面的应用大大增加。然而,将基因型与其表型完全联系起来的努力仍然受到每次只能开发一个突变体的限制。在这项研究中,我们通过将比较基因组学与表型阵列的使用相结合,为五个已测序的希瓦氏菌菌株提供了一种高通量的替代方法。我们获得了 441 种营养素(C、N、P 和 S 源)的阳性表型,所有菌株中最常用的是基于 N 的化合物。通过基因组分析预测的许多基因和途径都通过比较表型测定得到了证实,并且证实了三个据信在希瓦氏菌中缺失的降解途径确实缺失。一些以前未知的基因产物被预测为途径的一部分或具有功能,这增加了未来遗传分析的基因靶标数量。从生态学角度来看,比较高通量表型分析为五种不同菌株之间的生态位特化提供了深入了解。例如,从亚马逊河三角洲分离的希瓦氏菌 SB2B 菌株能够利用 60 种 C 化合物,而从深海沉积物中分离的希瓦氏菌 sp. W3-18-1 菌株仅能利用其中的 25 种。尽管有大量的营养源产生阳性结果,但我们的研究表明,除了 N 源外,它们的信息量不足以根据不断增加的进化距离预测生长表型。我们的研究结果表明表型评估对于证实基因组预测的重要性。这种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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