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Virome

From Wikipedia, the free encyclopedia

For the human virome, see Human virome.
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Virome refers to the assemblage of viruses[1][2] that is often investigated and described by metagenomic sequencing of viral nucleic acids[3] that are found associated with a particular ecosystem, organism or holobiont. The word is frequently used to describe environmental viral shotgun metagenomes. Viruses, including bacteriophages, are found in all environments, and studies of the virome have provided insights into nutrient cycling,[4][5] development of immunity,[6] and a major source of genes through lysogenic conversion.[7] Also, the human virome has been characterized in nine organs (colon, liver, lung, heart, brain, kidney, skin, blood, hair) of 31 Finnish individuals using qPCR and NGS methodologies.[8]

History

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The first comprehensive studies of viromes were by shotgun community sequencing,[9] which is frequently referred to as metagenomics. In the 2000s, the Rohwer lab sequenced viromes from seawater,[9][10] marine sediments,[11] adult human stool,[12] infant human stool,[13] soil,[14] and blood.[15] This group also performed the first RNA virome with collaborators from the Genomic Institute of Singapore.[16] From these early works, it was concluded that most of the genomic diversity is contained in the global virome and that most of this diversity remains uncharacterized.[17] This view was supported by individual genomic sequencing project, particularly the mycobacterium phage.[18]

By the late 2010s advances in sequencing technologies have allowed for a deep probing of viromes.[19] The virome of the human gut in particular has gained increased attention as a result of these advancements.[20][21]

Methods of study

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In order to study the virome, virus-like particles are separated from cellular components, usually using a combination of filtration, density centrifugation, and enzymatic treatments to get rid of free nucleic acids.[22] The nucleic acids are then sequenced and analyzed using metagenomic methods. Alternatively, there are recent computational methods that use directly metagenomic assembled sequences to discover viruses.[23]

The Global Ocean Viromes (GOV) is a dataset consisting of deep sequencing from over 150 samples collected across the world's oceans in two survey periods by an international team.[24]

Virus hosts

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We can determine the metagenome host from prophage identity sequence.

Viruses are the most abundant biological entities on Earth, but challenges in detecting, isolating, and classifying unknown viruses have prevented exhaustive surveys of the global virome.[25] Over 5 Tb of metagenomic sequence data were used from 3,042 geographically diverse samples to assess the global distribution, phylogenetic diversity, and host specificity of viruses.[25]

In August 2016, over 125,000 partial DNA viral genomes, including the largest phage yet identified, increased the number of known viral genes by 16-fold.[25] A suite of computational methods was used to identify putative host virus connections.[25] The isolate viral host information was projected onto a group, resulting in host assignments for 2.4% of viral groups.[25]

Then the CRISPR–Cas prokaryotic immune system which holds a "library" of genome fragments from phages (proto-spacers) that have previously infected the host.[25] Spacers from isolate microbial genomes with matches to metagenomic viral contigs (mVCs) were identified for 4.4% of the viral groups and 1.7% of singletons.[25] The hypothesis was explored that viral transfer RNA (tRNA) genes originate from their host.[25]

Viral tRNAs identified in 7.6% of the mVCs were matched to isolate genomes from a single species or genus.[25] The specificity of tRNA-based host viral assignment was confirmed by CRISPR–Cas spacer matches showing a 94% agreement at the genus level. These approaches identified 9,992 putative host–virus associations enabling host assignment to 7.7% of mVCs.[25] The majority of these connections were previously unknown, and include hosts from 16 prokaryotic phyla for which no viruses have previously been identified.[25]

Many viruses specialize in infecting related hosts.[25] Viral generalists that infect hosts across taxonomic orders may exist.[25] Most CRISPR spacer matches were from viral sequences to hosts within one species or genus.[25] Some mVCs were linked to multiple hosts from higher taxa. A viral group composed of macs from human oral samples contained three distinct photo-spacers with nearly exact matches to spacers in Actionbacteria and Bacillota.[25]

Three proto-spacers encoded on mVCs identified in human oral metagenomic samples that were linked to CRISPR spacers from hosts from distinct phyla, Actinomycetes sp. oral taxon 180 (Actinomycetota) and Streptococcus plurextorum DSM 22810 (Bacillota).
Proportion of 18,470 viral connected with predicted hosts at various taxonomic levels

In January 2017, the IMG/VR system [26] -the largest interactive public virus database contained 265,000 metagenomic viral sequences and isolate viruses. This number scaled up to over 760,000 in November 2018 (IMG/VR v.2.0).[27] The IMG/VR systems serve as a starting point for the sequence analysis of viral fragments derived from metagenomic samples.

Human virome

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The human virome encompasses the diverse viral communities residing in the body. Prior advances in high-throughput sequencing (HTS) revealed insights into their diversity, evolutionary dynamics, and genome integrations. However, due to shallow sequencing in the past, the genetic composition and diversity of tissue-resident viruses remained poorly characterized, hindering understanding of their roles in pathogenesis and viral evolution. In 2024, a study of the virome examined persistent viruses in multiple organs from individuals who died of non-viral causes, revealing that viral sequences were highly conserved within each person, indicating persistence from single dominant strains. Increased viral diversity in two cases suggested that reactivation may influence variability. The study also identified selective pressures from the host and unexpected viral genome integrations, including MCPyV truncations and novel links between herpesvirus 6B and mitochondrial DNA, even in non-cancerous individuals, offering new insights into tissue-resident viruses and their potential health impacts.[28]

See also

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References

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  2. ^ Zárate S, Taboada B, Yocupicio-Monroy M, Arias CF (November 2017). "Human Virome". Archives of Medical Research. 48 (8): 701–716. doi:10.1016/j.arcmed.2018.01.005. PMID 29398104.
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  19. ^ Garmaeva S, Sinha T, Kurilshikov A, Fu J, Wijmenga C, Zhernakova A (October 2019). "Studying the gut virome in the metagenomic era: challenges and perspectives". BMC Biology. 17 (1): 84. doi:10.1186/s12915-019-0704-y. PMC 6819614. PMID 31660953.
  20. ^ Shkoporov AN, Clooney AG, Sutton TD, Ryan FJ, Daly KM, Nolan JA, et al. (October 2019). "The Human Gut Virome Is Highly Diverse, Stable, and Individual Specific". Cell Host & Microbe. 26 (4): 527–541.e5. doi:10.1016/j.chom.2019.09.009. PMID 31600503. S2CID 204242937.
  21. ^ Clooney AG, Sutton TD, Shkoporov AN, Holohan RK, Daly KM, O'Regan O, et al. (December 2019). "Whole-Virome Analysis Sheds Light on Viral Dark Matter in Inflammatory Bowel Disease". Cell Host & Microbe. 26 (6): 764–778.e5. doi:10.1016/j.chom.2019.10.009. PMID 31757768. S2CID 208234961.
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  23. ^ Paez-Espino D, Pavlopoulos GA, Ivanova NN, Kyrpides NC (August 2017). "Nontargeted virus sequence discovery pipeline and virus clustering for metagenomic data". Nature Protocols. 12 (8): 1673–1682. doi:10.1038/nprot.2017.063. PMID 28749930. S2CID 2127494.
  24. ^ Tang L (July 2019). "Pole-to-pole ocean viromes". Research highlights. Nature Methods (Paper). 16 (7): 575. doi:10.1038/s41592-019-0480-1. PMID 31249411. – via Springer Nature (subscription required)
  25. ^ a b c d e f g h i j k l m n o Paez-Espino D, Eloe-Fadrosh EA, Pavlopoulos GA, Thomas AD, Huntemann M, Mikhailova N, et al. (August 2016). "Uncovering Earth's virome". Nature. 536 (7617): 425–430. Bibcode:2016Natur.536..425P. doi:10.1038/nature19094. PMID 27533034. S2CID 4466854.
  26. ^ Paez-Espino D, Chen IA, Palaniappan K, Ratner A, Chu K, Szeto E, et al. (January 2017). "IMG/VR: a database of cultured and uncultured DNA Viruses and retroviruses". Nucleic Acids Research. 45 (D1): D457 – D465. doi:10.1093/nar/gkw1030. PMC 5210529. PMID 27799466.
  27. ^ Paez-Espino D, Roux S, Chen IA, Palaniappan K, Ratner A, Chu K, et al. (January 2019). "IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes". Nucleic Acids Research. 47 (D1): D678 – D686. doi:10.1093/nar/gky1127. PMC 6323928. PMID 30407573.
  28. ^ Pyöriä L, Pratas D, Toppinen M, Simmonds P, Hedman K, Sajantila A, Perdomo M (2024). "Intra-host genomic diversity and integration landscape of human tissue-resident DNA virome". Nucleic Acids Research. 52 (21): gkae871. doi:10.1093/nar/gkae871. PMC 11602146. PMID 39436041.
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