4.8 Article

Diversity, evolution, and classification of virophages uncovered through global metagenomics

期刊

MICROBIOME
卷 7, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s40168-019-0768-5

关键词

Metagenomics; Virophage; Major capsid protein (MCP); Virophage classification; Virophage-NCLDV interactions; Global distribution

资金

  1. US Department of Energy Joint Genome Institute, a DOE Office of Science User Facility [DE-AC02-05CH11231]
  2. Office of Science of the US Department of Energy

向作者/读者索取更多资源

Background: Virophages are small viruses with double-stranded DNA genomes that replicate along with giant viruses and co-infect eukaryotic cells. Due to the paucity of virophage reference genomes, a collective understanding of the global virophage diversity, distribution, and evolution is lacking. Results: Here we screened a public collection of over 14,000 metagenomes using the virophage-specific major capsid protein (MCP) as bait. We identified 44,221 assembled virophage sequences, of which 328 represent high-quality (complete or near-complete) genomes from diverse habitats including the human gut, plant rhizosphere, and terrestrial subsurface. Comparative genomic analysis confirmed the presence of four core genes in a conserved block. We used these genes to establish a revised virophage classification including 27 clades with consistent genome length, gene content, and habitat distribution. Moreover, for eight high-quality virophage genomes, we computationally predicted putative eukaryotic virus hosts. Conclusion: Overall, our approach has increased the number of known virophage genomes by 10-fold and revealed patterns of genome evolution and global virophage distribution. We anticipate that the expanded diversity presented here will provide the backbone for further virophage studies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemical Research Methods

MIDAS2: Metagenomic Intra-species Diversity Analysis System

Chunyu Zhao, Boris Dimitrov, Miriam Goldman, Stephen Nayfach, Katherine S. Pollard

Summary: The Metagenomic Intra-Species Diversity Analysis System (MIDAS) is a scalable metagenomic pipeline that identifies single nucleotide variants (SNVs) and gene copy number variants in microbial populations. MIDAS2 addresses computational challenges of large reference genome databases and allows custom database building and improved SNV accuracy with paired-end reads. This fast and scalable improvement of the MIDAS pipeline enables efficient genotyping of thousands of metagenomic samples.

BIOINFORMATICS (2023)

Article Biochemistry & Molecular Biology

Mining metatranscriptomes reveals a vast world of viroid-like circular RNAs

Benjamin D. Lee, Uri Neri, Simon Roux, Yuri I. Wolf, Antonio Pedro Camargo, Mart Krupovic, Peter Simmonds, Nikos Kyrpides, Uri Gophna, Valerian V. Dolja, Eugene V. Koonin

Summary: We developed a computational pipeline to identify viroid-like cccRNAs and found a 5-fold increase in the number of identified elements compared to previous studies. The presence of viroid-like cccRNAs in diverse transcriptomes and ecosystems suggests that their host range is broader than currently known.
Article Geriatrics & Gerontology

Ageotypes revisited: The brain and central nervous system dysfunction as a major nutritional and lifestyle target for healthy aging

Maria G. Grammatikopoulou, Efstathios Skoufas, Spyridon Kanellakis, Despina Sanoudou, Georgios A. Pavlopoulos, Aristides G. Eliopoulos, Kalliopi K. Gkouskou

Summary: Undeniably, there is a significant variation in biological age among individuals with similar chronological age. Through deep multi-omic profiling, researchers have identified distinct aging phenotypes known as 'ageotypes'. This research has provided valuable insights into the molecular mechanisms underlying aging and has led to potential opportunities for nutritional interventions to slow down the aging process.

MATURITAS (2023)

Article Biochemistry & Molecular Biology

IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata

Antonio Pedro Camargo, Stephen Nayfach, I-Min A. Chen, Krishnaveni Palaniappan, Anna Ratner, Ken Chu, Stephan J. Ritter, T. B. K. Reddy, Supratim Mukherjee, Frederik Schulz, Lee Call, Russell Y. Neches, Tanja Woyke, Natalia N. Ivanova, Emiley A. Eloe-Fadrosh, Nikos C. Kyrpides, Simon Roux

Summary: Viruses play critical roles in all microbiomes and their genomic diversity and impacts on biological processes are extensively explored through metagenomics. IMG/VR is a platform providing access to a large collection of viral sequences along with functional annotation and metadata. The latest version, IMG/VR v4, contains over 15 million virus genomes and genome fragments.

NUCLEIC ACIDS RESEARCH (2023)

Article Biochemistry & Molecular Biology

The IMG/M data management and analysis system v.7: content updates and new features

I-Min A. Chen, Ken Chu, Krishnaveni Palaniappan, Anna Ratner, Jinghua Huang, Marcel Huntemann, Patrick Hajek, Stephan J. Ritter, Cody Webb, Dongying Wu, Neha J. Varghese, T. B. K. Reddy, Supratim Mukherjee, Galina Ovchinnikova, Matt Nolan, Rekha Seshadri, Simon Roux, Axel Visel, Tanja Woyke, Emiley A. Eloe-Fadrosh, Nikos C. Kyrpides, Natalia N. Ivanova

Summary: The Integrated Microbial Genomes & Microbiomes system (IMG/M) at the Department of Energy Joint Genome Institute (JGI) provides support for comparative analysis of various genomes, metagenomes, and metatranscriptomes. It includes datasets from JGI, as well as imported datasets from public sources and user-submitted datasets. In recent years, efforts have been made to improve annotation pipeline, upgrade reference database versions, and add new analysis functionalities.

NUCLEIC ACIDS RESEARCH (2023)

Article Biochemistry & Molecular Biology

Updated Virophage Taxonomy and Distinction from Polinton-like Viruses

Simon Roux, Matthias G. Fischer, Thomas Hackl, Laura A. Katz, Frederik Schulz, Natalya Yutin

Summary: Virophages are small dsDNA viruses that hijack the machinery of giant viruses during co-infection and play a unique role in the viral world. However, the lack of clarity in nomenclature and taxonomy has hindered further studies on virophages and related viruses. In this study, we propose delineation criteria and classification methods for virophages based on comparative genomics and phylogenetic analysis, establishing a taxonomic framework for this group of viruses. This classification provides a necessary first step for future research in this field.

BIOMOLECULES (2023)

Article Biochemistry & Molecular Biology

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

Simon E. Roux, Antonio Pedro Camargo, Felipe H. Coutinho, Shareef M. Dabdoub, Bas E. Dutilh, Stephen Nayfach, Andrew Tritt

Summary: The extraordinary diversity of viruses infecting bacteria and archaea can be studied through metagenomics. However, metagenome-derived viral sequences lack key information about host association. We introduce iPHoP, a framework that integrates multiple methods to predict host taxonomy for a range of uncultivated viruses, while maintaining a low false discovery rate. Using a large dataset from the IMG/VR database, iPHoP shows promise in providing extensive host prediction for uncultivated viruses.

PLOS BIOLOGY (2023)

Article Biochemical Research Methods

Identifying species-specific k-mers for fast and accurate metagenotyping with Maast and GT-Pro

Zhou Jason Shi, Stephen Nayfach, Katherine S. Pollard

Summary: This protocol describes a computational pipeline for fast and accurate SNP genotyping using metagenomic data, which includes generating a SNP catalog, extracting unique SNP-covering k-mer sequences, and performing metagenotyping to achieve strain-level quantification.

STAR PROTOCOLS (2023)

Editorial Material Ecology

Counting dots or counting reads? Complementary approaches to estimate virus-to-microbe ratios

Simon Roux, Jennifer R. Brum

ISME JOURNAL (2023)

Article Biochemistry & Molecular Biology

NMPFamsDB: a database of novel protein families from microbial metagenomes and metatranscriptomes

Fotis A. Baltoumas, Evangelos Karatzas, Sirui Liu, Sergey Ovchinnikov, Yorgos Sofianatos, I-Min Chen, Nikos C. Kyrpides, Georgios A. Pavlopoulos

Summary: NMPFamsDB is a database of metagenome- and metatranscriptome-derived protein families that do not have hits to proteins of reference genomes or Pfam domains. It provides useful information such as sequence alignments, taxonomic information, structure predictions, and 3D structure models, and significantly expands the understanding of known protein sequence clusters.

NUCLEIC ACIDS RESEARCH (2023)

Article Biochemistry & Molecular Biology

IMG/PR: a database of plasmids from genomes and metagenomes with rich annotations and metadata

Antonio Pedro Camargo, Lee Call, Simon Roux, Stephen Nayfach, Marcel Huntemann, Krishnaveni Palaniappan, Anna Ratner, Ken Chu, Supratim Mukherjeep, T. B. K. Reddy, I-Min A. Chen, Natalia N. Ivanova, Emiley A. Eloe-Fadrosh, Tanja Woyke, David A. Baltrus, Salvador Castaneda-Barba, Fernando de la Cruz, Barbara E. Funnell, James P. J. Hall, Aindrila Mukhopadhyay, Eduardo P. C. Rocha, Thibault Stalder, Eva Top, Nikos C. Kyrpides

Summary: This study introduces the IMG/PR database, which collects a large number of plasmid sequences from various microbiome samples and provides rich metadata and multiple browsing methods.

NUCLEIC ACIDS RESEARCH (2023)

Article Mathematical & Computational Biology

Standardized naming of microbiome samples in Genomes OnLine Database

Supratim Mukherjee, Galina Ovchinnikova, Dimitri Stamatis, Cindy Tianqing Li, I-Min A. Chen, Nikos C. Kyrpides, T. B. K. Reddy

Summary: The power of next-generation sequencing has led to a massive increase in projects aiming to understand the diversity of complex microbial environments. However, the lack of standardized reporting standards for microbiome data and samples poses a challenge for follow-up studies. The Genomes OnLine Database (GOLD) has developed a standardized naming system for microbiome samples to address this issue and has continued to enrich the research community with well-curated and understandable names for metagenomes and metatranscriptomes. This naming system should be adopted as a best practice to improve the interoperability and reusability of microbiome data.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2023)

暂无数据