Genetic exchange shapes ultra-small Patescibacteria metabolic capacities in the terrestrial subsurface.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-23 Epub Date: 2025-08-15 DOI:10.1128/msystems.00046-25
Emilie Gios, Olivia E Mosley, Nobuto Takeuchi, Kim M Handley
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引用次数: 0

Abstract

Bacterial genomes are highly dynamic entities, mostly due to horizontal gene transfer (HGT). HGT is thought to be the main driver of genetic variation and adaptation to the local environment in bacteria. However, little is known about the modalities of HGT within natural microbial communities, especially the implications of genetic exchange for streamlined microorganisms such as Patescibacteria (Candidate Phyla Radiation). We searched for evidence of genetic exchange in 125 Patescibacteria genomes recovered from aquifer environments and detected the presence of hundreds of genomic islands, individually transferred genes, and prophages combined, with up to 13% of genome length attributed to HGT. Results show that most individual gene transfer events occurred between Patescibacteria, although putative donors included phylogenetically diverse groundwater microorganisms. For example, results indicate exchange of a lysR transcriptional regulator gene between Omnitrophota and Patescibacteria taxa with highly similar relative abundance patterns across 16 groundwater samples. Overall, results indicate a wide variety of metabolic functions were introduced into Patescibacteria genomes by HGT, including transcription, translation, and DNA replication, recombination and repair. This study illustrates the evolutionarily dynamic nature of Patescibacteria genomes despite the constraints of streamlining and that HGT in these organisms is also mediated via viral infection.

Importance: Genomic fluidity and diversity in bacteria are mainly governed by horizontal gene transfer (HGT), leading to a variety of genome structures and physiological diversity. The predominantly uncultivated Patescibacteria comprise highly diverse bacteria that consistently exhibit small cell and genome sizes. Despite strong pressures to reduce genetic content, we predict that these ultra-small bacteria use HGT to the same extent as other bacteria and that HGT may help facilitate recovery and maintenance of critical metabolic functions, niche exploitation, and putative symbiont-host interactions. Here, we determine the contribution of gene exchange to the evolution and diversification of Patescibacteria, despite the constraints of streamlining. We provide evidence of gene gains in Patescibacteria genomes recovered from aquifer environments and describe the large extent to which ultra-small bacterial genomes are subjected to HGT. Results suggest distinct metabolic functions acquired by Patescibacteria compared to general groundwater communities, suggesting specific evolutionary pressures on gene transfer dynamics occurring in ultra-small prokaryotes.

遗传交换塑造了陆地地下超小型Patescibacteria的代谢能力。
细菌基因组是高度动态的实体,主要是由于水平基因转移(HGT)。HGT被认为是细菌遗传变异和适应当地环境的主要驱动力。然而,人们对自然微生物群落中HGT的模式知之甚少,特别是对流线型微生物(如Patescibacteria)的遗传交换的影响。我们在从含水层环境中恢复的125个Patescibacteria基因组中寻找遗传交换的证据,并检测到数百个基因组岛,单个转移基因和噬菌体组合的存在,高达13%的基因组长度归因于HGT。结果表明,大多数个体基因转移事件发生在Patescibacteria之间,尽管假定的供体包括系统发育不同的地下水微生物。例如,结果表明,在16个地下水样品中,Omnitrophota和Patescibacteria类群之间的lysR转录调节基因交换具有高度相似的相对丰度模式。总体而言,研究结果表明,HGT在Patescibacteria基因组中引入了多种代谢功能,包括转录、翻译、DNA复制、重组和修复。这项研究说明了尽管受到流线型的限制,但帕特西细菌基因组的进化动态性质,以及这些生物中的HGT也通过病毒感染介导。重要性:细菌基因组的流动性和多样性主要受水平基因转移(HGT)的控制,从而导致基因组结构的多样性和生理多样性。主要未培养的Patescibacteria包括高度多样化的细菌,始终表现出小细胞和基因组大小。尽管存在减少遗传含量的强大压力,但我们预测这些超小型细菌与其他细菌一样使用HGT,并且HGT可能有助于促进关键代谢功能的恢复和维持,生态位开发和假定的共生-宿主相互作用。在这里,我们确定了基因交换对Patescibacteria进化和多样化的贡献,尽管有流线型的限制。我们提供了从含水层环境中恢复的Patescibacteria基因组基因增益的证据,并描述了超小型细菌基因组在很大程度上受到HGT的影响。结果表明,与一般地下水群落相比,Patescibacteria获得了不同的代谢功能,这表明在超小型原核生物中发生了特定的基因转移动力学进化压力。
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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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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