通过支持深度学习的元基因组挖掘,探索核糖体肽在原核生物与噬菌体相互作用中的作用。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY Microbiome Pub Date : 2024-05-24 DOI:10.1186/s40168-024-01807-y
Ying Gao, Zheng Zhong, Dengwei Zhang, Jian Zhang, Yong-Xin Li
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引用次数: 0

摘要

背景:微生物次级代谢物在自然环境中错综复杂的相互作用中发挥着至关重要的作用。在这些代谢物中,核糖体合成和翻译后修饰肽(RiPPs)因其结构多样性和功能多样性,正成为一种有前景的治疗药物来源。然而,它们的生物合成能力和生态功能在很大程度上仍未得到充分探索:在此,我们旨在探索 RiPPs 的生物合成概况及其在海洋微生物和病毒之间相互作用中的潜在作用。我们首先开发了 TrRiPP 来识别海洋元基因组中的 RiPPs,这是一种深度学习方法,它以一种与标志基因无关的方式检测 RiPP 前体,克服了传统方法在处理高度碎片化元基因组数据时的局限性。将这种方法应用于全球海洋微生物组元基因组,我们发现了一系列以前未表征的推定 RiPP 家族,它们具有极大的新颖性和多样性。通过基于元转录组数据的相关性分析,我们观察到抗噬菌体防御相关蛋白家族和噬菌体相关蛋白家族与 RiPP 家族共同表达的高发生率。基于 RiPP 与噬菌体感染之间的这种假定关联,我们构建了一个海洋病毒数据库(OVD),并通过宿主预测和共表达分析建立了一个涉及 RiPP 的宿主-噬菌体相互作用网络,揭示了 RiPP 编码原核生物、RiPP 家族、病毒蛋白家族和噬菌体之间复杂的联系。这些发现凸显了RiPP家族参与原核生物-噬菌体相互作用和协同进化的潜力,为了解它们在海洋微生物组中的生态功能提供了见解:本研究在全球范围内对海洋微生物组中的 RiPPs 的生物合成潜力进行了系统研究,通过整合深度学习方法、元转录组数据和宿主-噬菌体连接性,揭示了 RiPPs 在原核生物-噬菌体相互作用中的生态功能。这项研究是探索细菌次生代谢物生态功能的一个宝贵实例,尤其是它们与尚未探索的微生物相互作用之间的关联。视频摘要。
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Exploring the roles of ribosomal peptides in prokaryote-phage interactions through deep learning-enabled metagenome mining.

Background: Microbial secondary metabolites play a crucial role in the intricate interactions within the natural environment. Among these metabolites, ribosomally synthesized and post-translationally modified peptides (RiPPs) are becoming a promising source of therapeutic agents due to their structural diversity and functional versatility. However, their biosynthetic capacity and ecological functions remain largely underexplored.

Results: Here, we aim to explore the biosynthetic profile of RiPPs and their potential roles in the interactions between microbes and viruses in the ocean, which encompasses a vast diversity of unique biomes that are rich in interactions and remains chemically underexplored. We first developed TrRiPP to identify RiPPs from ocean metagenomes, a deep learning method that detects RiPP precursors in a hallmark gene-independent manner to overcome the limitations of classic methods in processing highly fragmented metagenomic data. Applying this method to metagenomes from the global ocean microbiome, we uncover a diverse array of previously uncharacterized putative RiPP families with great novelty and diversity. Through correlation analysis based on metatranscriptomic data, we observed a high prevalence of antiphage defense-related and phage-related protein families that were co-expressed with RiPP families. Based on this putative association between RiPPs and phage infection, we constructed an Ocean Virus Database (OVD) and established a RiPP-involving host-phage interaction network through host prediction and co-expression analysis, revealing complex connectivities linking RiPP-encoding prokaryotes, RiPP families, viral protein families, and phages. These findings highlight the potential of RiPP families involved in prokaryote-phage interactions and coevolution, providing insights into their ecological functions in the ocean microbiome.

Conclusions: This study provides a systematic investigation of the biosynthetic potential of RiPPs from the ocean microbiome at a global scale, shedding light on the essential insights into the ecological functions of RiPPs in prokaryote-phage interactions through the integration of deep learning approaches, metatranscriptomic data, and host-phage connectivity. This study serves as a valuable example of exploring the ecological functions of bacterial secondary metabolites, particularly their associations with unexplored microbial interactions. Video Abstract.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
期刊最新文献
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