量化环境稳定性对海洋微生物转录因子库的影响。

Ivaylo Kostadinov, Renzo Kottmann, Alban Ramette, Jost Waldmann, Pier Luigi Buttigieg, Frank Oliver Glöckner
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引用次数: 3

摘要

背景:dna结合转录因子(TFs)在原核生物中调节细胞功能,通常是对环境刺激的反应。因此,环境对微生物群落的TF基因含量施加了持续的选择压力。最近一项对海洋聚球菌菌株的研究发现其基因组中与环境适应相关的TF含量存在差异,但到目前为止,环境参数对细菌群落中TF含量的影响尚未得到系统的研究。结果:我们利用插值的理化参数和多元统计量化了环境稳定性对全球海洋采样(GOS)宏基因组中海洋远洋微生物转录因子库的影响。样品之间相对TF丰度的35%的差异可以用环境稳定性来解释。6%归因于空间距离,但没有一个是空间距离和稳定性的结合。与总通量池相比,个别通量池与环境稳定性和空间的关系更强。结论:在GOS宏基因组描述的浮游细菌群落中,环境稳定性似乎对TF基因含量有明显的影响。内插的环境参数与原位测量结果比较好,对于量化环境对TF含量的影响至关重要。研究表明,全面和结构良好的上下文数据将大大提高我们从宏基因组数据中解释微生物功能潜力的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Quantifying the effect of environment stability on the transcription factor repertoire of marine microbes.

Background: DNA-binding transcription factors (TFs) regulate cellular functions in prokaryotes, often in response to environmental stimuli. Thus, the environment exerts constant selective pressure on the TF gene content of microbial communities. Recently a study on marine Synechococcus strains detected differences in their genomic TF content related to environmental adaptation, but so far the effect of environmental parameters on the content of TFs in bacterial communities has not been systematically investigated.

Results: We quantified the effect of environment stability on the transcription factor repertoire of marine pelagic microbes from the Global Ocean Sampling (GOS) metagenome using interpolated physico-chemical parameters and multivariate statistics. Thirty-five percent of the difference in relative TF abundances between samples could be explained by environment stability. Six percent was attributable to spatial distance but none to a combination of both spatial distance and stability. Some individual TFs showed a stronger relationship to environment stability and space than the total TF pool.

Conclusions: Environmental stability appears to have a clearly detectable effect on TF gene content in bacterioplanktonic communities described by the GOS metagenome. Interpolated environmental parameters were shown to compare well to in situ measurements and were essential for quantifying the effect of the environment on the TF content. It is demonstrated that comprehensive and well-structured contextual data will strongly enhance our ability to interpret the functional potential of microbes from metagenomic data.

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