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Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology.

作者信息

Kosmopoulos James C, Klier Katherine M, Langwig Marguerite V, Tran Patricia Q, Anantharaman Karthik

机构信息

Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

bioRxiv. 2023 Dec 12:2023.10.15.562385. doi: 10.1101/2023.10.15.562385.


DOI:10.1101/2023.10.15.562385
PMID:37904928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10614762/
Abstract

BACKGROUND: Viruses, the majority of which are uncultivated, are among the most abundant biological entities on Earth. From altering microbial physiology to driving community dynamics, viruses are fundamental members of microbiomes. While the number of studies leveraging viral metagenomics (viromics) for studying uncultivated viruses is growing, standards for viromics research are lacking. Viromics can utilize computational discovery of viruses from total metagenomes of all community members (hereafter metagenomes) or use physical separation of virus-specific fractions (hereafter viromes). However, differences in the recovery and interpretation of viruses from metagenomes and viromes obtained from the same samples remain understudied. RESULTS: Here, we compare viral communities from paired viromes and metagenomes obtained from 60 diverse samples across human gut, soil, freshwater, and marine ecosystems. Overall, viral communities obtained from viromes were more abundant and species rich than those obtained from metagenomes, although there were some exceptions. Despite this, metagenomes still contained many viral genomes not detected in viromes. We also found notable differences in the predicted lytic state of viruses detected in viromes vs metagenomes at the time of sequencing. Other forms of variation observed include genome presence/absence, genome quality, and encoded protein content between viromes and metagenomes, but the magnitude of these differences varied by environment. CONCLUSIONS: Overall, our results show that the choice of method can lead to differing interpretations of viral community ecology. We suggest that the choice of whether to target a metagenome or virome to study viral communities should be dependent on the environmental context and ecological questions being asked. However, our overall recommendation to researchers investigating viral ecology and evolution is to pair both approaches to maximize their respective benefits.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/7ff77854017c/nihpp-2023.10.15.562385v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/81162fbd88cf/nihpp-2023.10.15.562385v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/a37497cc4482/nihpp-2023.10.15.562385v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/205333c0b2f5/nihpp-2023.10.15.562385v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/debde22c9f3e/nihpp-2023.10.15.562385v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/7ff77854017c/nihpp-2023.10.15.562385v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/81162fbd88cf/nihpp-2023.10.15.562385v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/a37497cc4482/nihpp-2023.10.15.562385v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/205333c0b2f5/nihpp-2023.10.15.562385v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/debde22c9f3e/nihpp-2023.10.15.562385v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e884/10727759/7ff77854017c/nihpp-2023.10.15.562385v2-f0005.jpg

相似文献

[1]
Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology.

bioRxiv. 2023-12-12

[2]
Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology.

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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
ViWrap: A modular pipeline to identify, bin, classify, and predict viral-host relationships for viruses from metagenomes.

Imeta. 2023-8

[2]
Extracellular vesicles are the main contributor to the non-viral protected extracellular sequence space.

ISME Commun. 2023-10-17

[3]
Viral but not bacterial community successional patterns reflect extreme turnover shortly after rewetting dry soils.

Nat Ecol Evol. 2023-11

[4]
Horizontal Gene Transfer and CRISPR Targeting Drive Phage-Bacterial Host Interactions and Coevolution in "Pink Berry" Marine Microbial Aggregates.

Appl Environ Microbiol. 2023-7-26

[5]
Bacteriophage strategies for overcoming host antiviral immunity.

Front Microbiol. 2023-6-8

[6]
iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria.

PLoS Biol. 2023-4

[7]
Mirusviruses link herpesviruses to giant viruses.

Nature. 2023-4

[8]
Expanding known viral diversity in the healthy infant gut.

Nat Microbiol. 2023-5

[9]
Alterations of the gut virome in patients with systemic lupus erythematosus.

Front Immunol. 2022

[10]
Pharokka: a fast scalable bacteriophage annotation tool.

Bioinformatics. 2023-1-1

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