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地中海海藻全生物 Taonia atomaria 中体表细菌群落与表面代谢组的时间共变关系。

Temporal covariation of epibacterial community and surface metabolome in the Mediterranean seaweed holobiont Taonia atomaria.

作者信息

Paix Benoît, Othmani Ahlem, Debroas Didier, Culioli Gérald, Briand Jean-François

机构信息

Université de Toulon, Laboratoire MAPIEM, EA 4323, Toulon, France.

Université Clermont Auvergne, CNRS, Laboratoire Microorganismes: Génome et Environnement, UMR 6023, Clermont-Ferrand, France.

出版信息

Environ Microbiol. 2019 Sep;21(9):3346-3363. doi: 10.1111/1462-2920.14617. Epub 2019 May 1.

Abstract

An integrative multi-omics approach allowed monthly variations for a year of the surface metabolome and the epibacterial community of the Mediterranean Phaeophyceae Taonia atomaria to be investigated. The LC-MS-based metabolomics and 16S rDNA metabarcoding data sets were integrated in a multivariate meta-omics analysis (multi-block PLS-DA from the MixOmic DIABLO analysis) showing a strong seasonal covariation (Mantel test: p < 0.01). A network based on positive and negative correlations between the two data sets revealed two clusters of variables, one relative to the 'spring period' and a second to the 'summer period'. The 'spring period' cluster was mainly characterized by dipeptides positively correlated with a single bacterial taxon of the Alteromonadaceae family (BD1-7 clade). Moreover, 'summer' dominant epibacterial taxa from the second cluster (including Erythrobacteraceae, Rhodospirillaceae, Oceanospirillaceae and Flammeovirgaceae) showed positive correlations with few metabolites known as macroalgal antifouling defences [e.g. dimethylsulphoniopropionate (DMSP) and proline] which exhibited a key role within the correlation network. Despite a core community that represents a significant part of the total epibacteria, changes in the microbiota structure associated with surface metabolome variations suggested that both environment and algal host shape the bacterial surface microbiota.

摘要

一种综合多组学方法使得对地中海褐藻Taonia atomaria的表面代谢组和表皮细菌群落进行为期一年的月度变化研究成为可能。基于液相色谱-质谱联用的代谢组学和16S rDNA宏条形码数据集被整合到一个多变量元组学分析中(来自MixOmic DIABLO分析的多块偏最小二乘判别分析),结果显示出强烈的季节性共变关系(Mantel检验:p < 0.01)。基于两个数据集之间正负相关性的网络揭示了两组变量,一组与“春季”相关,另一组与“夏季”相关。“春季”组主要特征是二肽与交替单胞菌科的一个单一细菌分类单元(BD1-7进化枝)呈正相关。此外,第二组“夏季”占主导地位的表皮细菌分类群(包括红杆菌科、红螺菌科、海洋螺菌科和噬纤维菌科)与少数已知为大型海藻防污防御物质的代谢物呈正相关[例如二甲基磺基丙酸(DMSP)和脯氨酸],这些代谢物在相关网络中发挥着关键作用。尽管核心群落占表皮细菌总数的很大一部分,但与表面代谢组变化相关的微生物群结构变化表明,环境和藻类宿主都对细菌表面微生物群有塑造作用。

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