Vigneron Adrien, Cruaud Perrine, Guyoneaud Rémy, Goñi-Urriza Marisol
IBEAS, Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France.
Independent Researcher, Lourenties, France.
Front Microbiol. 2023 Jan 9;13:1073483. doi: 10.3389/fmicb.2022.1073483. eCollection 2022.
form a highly diverse and widespread superphylum of uncultured microorganisms representing a third of the global microbial diversity. Most of our knowledge on putative physiology relies on metagenomic mining and metagenome-assembled genomes, but the activities and the ecophysiology of these microorganisms have been rarely explored, leaving the role of in ecosystems elusive. Using a genome-centric metatranscriptomic approach, we analyzed the diel and seasonal gene transcription profiles of 18 populations in brackish microbial mats to test whether our understanding of metabolism allows the extrapolation of their activities. Although our results revealed a circadian cycle in activities, a strong streamlined genetic expression characterized the populations. This result has a major consequence for the extrapolation of their physiology and environmental function since most transcribed genes were uncharacterized, indicating that the ecophysiology of cannot be yet reliably predicted from genomic data.
形成了一个高度多样且广泛分布的未培养微生物超门,占全球微生物多样性的三分之一。我们对假定生理学的大部分了解依赖于宏基因组挖掘和宏基因组组装基因组,但这些微生物的活动和生态生理学很少被探索,其在生态系统中的作用仍然难以捉摸。我们采用以基因组为中心的宏转录组学方法,分析了咸淡水微生物垫中18个种群的昼夜和季节性基因转录谱,以测试我们对其代谢的理解是否能推断出它们的活动。虽然我们的结果揭示了其活动中的昼夜节律,但这些种群具有强烈的精简基因表达特征。这一结果对推断它们的生理学和环境功能具有重大影响,因为大多数转录基因尚未得到表征,这表明目前还无法从基因组数据可靠地预测其生态生理学。