巴氏候鸟的环境多样性及其与原生生物的关系。

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-05-28 DOI:10.1128/msystems.00261-25
Louis Weisse, Lucile Martin, Bouziane Moumen, Yann Héchard, Vincent Delafont
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引用次数: 0

摘要

Babelota是一门严格意义上的胞内细菌,其代表通常通过宏基因组学在各种环境中检测到,尽管迄今为止它们的存在、生态学和生物学尚未得到解决。作为一组严格的细胞内生物,我们假设它们的存在、发生和丰度严重依赖于它们的宿主,这些宿主被称为异养原生生物,基于少数已描述的分离株。在这里,我们进行了采样活动,允许表征原生生物和相关的细菌群落,使用高通量测序。同时,从样品中系统地富集原生生物,试图在本地宿主中鉴定和分离新的Babelota。我们发现,在这些罕见的门中,Babelota是分布最广的门之一。在某些情况下,允许原生生物富集,也可以对Ca. Babelota进行富集,可以在体内观察到感染原生细胞的情况。虽然是世界性的,但加州巴伯洛塔的多样性具有高度的地点特异性。共生分析允许检索已知的以及新的假定的关联,涉及各种营养体制的众多原生生物。本研究中发展的各种方法的结合增强了我们对巴伯洛塔虎的生态学和生物学的理解,同时为未来分离这一难以捉摸的门的新成员铺平了道路,这可能对原生生物和生态系统的功能产生巨大影响。基于dna的分析技术的出现极大地影响了我们对周围微生物多样性和环境定植的理解。这一进展帮助人们对许多尚未被描述的微生物谱系有了新的认识,这些微生物的生态学和生物学基本上是未知的。在这些未被描述的分支中,有一个细菌门,寄生似乎是其祖先的特征。所有已知的巴巴洛塔虫都是通过感染吞噬性原生生物宿主来繁殖的,从而影响了这一营养链的基础环节。由于整个门范围内的保守寄生只在以前发生的一次细菌中被描述过,衣原体构成了一个突出的模式。因此,探索Babelota与其原生宿主之间错综复杂的相互作用将促进我们对细菌多样性、它们的生态学以及对生态系统功能的全球影响的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmental diversity of Candidatus Babelota and their relationships with protists.

Ca. Babelota is a phylum of strictly intracellular bacteria whose representatives are commonly detected in various environments through metagenomics, though their presence, ecology, and biology have never been addressed so far. As a group of strict intracellular, we hypothesize that their presence, occurrence, and abundance heavily depend on their hosts, which are known as heterotrophic protists, based on few described isolates. Here, we conducted a sampling campaign allowing to characterize protists and associated bacterial communities, using high-throughput sequencing. In parallel, a systematic enrichment of protists from samples was performed to attempt characterization and isolation of new Ca. Babelota within native hosts. We found that Ca. Babelota are among the most widespread phylum among the rare ones. Protist enrichments are allowed in certain cases to enrich as well for Ca. Babelota, which could be visualized in vivo infecting protist cells. Though cosmopolitan, Ca. Babelota diversity was highly site-specific. Cooccurrence analyses allowed to retrieve well-known as well as new putative associations involving numerous protists of various trophic regimes. The combination of approaches developed in this study enhances our understanding of Ca. Babelota ecology and biology, while paving the way for future isolation of new members of this elusive phylum, which could have huge impact on protists-and ecosystems-functioning.IMPORTANCEOur understanding of microbial diversity surrounding us and colonizing the environment has been dramatically impacted by the advent of DNA-based analyses. Such progress helped shine a new light on numerous lineages of yet-to-be-characterized microbes, whose ecology and biology are basically unknown. Among those uncharacterized clades is the Candidatus Babelota, a bacterial phylum for which parasitism seems to be an ancestral trait. All known Ca. Babelota thrive by infecting phagotrophic protist hosts, thereby impacting this basal link of the trophic chain. The Ca. Babelota constitutes a model that stands out, as phylum-wide conserved parasitism has only been described in one previous occurrence for Bacteria, with the Chlamydiota. Thus, exploring the intricate interplay between Ca. Babelota and their protist hosts will advance our knowledge of bacterial diversity, their ecology, and global impact on ecosystem functioning.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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