Evidence map›Paper›PMID 39419354›Full record

ArticleVirus research2024

Signature of viral fossils: a comparative genomics approach to understand the diversity of endogenous retroviruses in bats.

Vinita Lamba, Ipsita Herlekar, Durbadal Chatterjee, Kirnalee Patel, Kritika M Garg, Balaji Chattopadhyay

Abstract read
In one paragraph

Article in Virus research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vinita LambaTrivedi School of Biosciences, Ashoka University, Sonipat, Haryana, 131029, India; J. William Fulbright College of Arts and Sciences, Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Ipsita HerlekarCentre for Creative writing and communication, Ashoka University, Sonipat, Haryana, 131029, India.
Durbadal ChatterjeeDepartment of Biology, Ashoka University, Sonipat, Haryana, 131029, India.
Kirnalee PatelDepartment of Biology, Ashoka University, Sonipat, Haryana, 131029, India.
Kritika M GargDepartment of Biology, Ashoka University, Sonipat, Haryana, 131029, India; Centre for Interdisciplinary Archaeological Research, Ashoka University, Sonipat, Haryana, 131029, India.
Balaji ChattopadhyayTrivedi School of Biosciences, Ashoka University, Sonipat, Haryana, 131029, India. Electronic address: balaji.chattopadhyay@ashoka.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endogenous retroviruses (ERVs) are traces of past viral infections commonly found in vertebrate genomes. Many ERVs are tightly regulated by the host genomes and co-opted for various functions within the hosts. Bats are the only true volant mammals, with the smallest mammalian genomes and a high fraction of ERVs within the genomes. They are important hosts for various zoonotic viral pathogens and can effectively modulate their immune response to tolerate viral infections. Integrations of retroviruses have been implicated as one of the mechanisms by which bats have co-evolved strategies to combat viral infections. In this study, we investigated the diversity of ERVs in over 40 publicly available bat genomes to understand the distribution and the evolution of ERVs within bats. We observed all classes of ERVs within bat genomes including even the complex lenti retroviruses. Alpha and spuma retroviruses which are generally considered rare in mammals, were common within bats. We observed a positive correlation between bat genome size and length of ERV elements. Interestingly, nearly 30 % of the ERVs within bats are intact suggesting a recent origin or co-option by the host genome. Future studies focusing on comparative genomic and experimental data will be critical to understand the role of these ERVs in host genome evolution.

Indexed as

ChiropteraEndogenous RetrovirusesEvolution, MolecularGenomicsPhylogenyAnimalsFossilsGenetic VariationGenomeGenome SizeGenome, ViralChiropteraCo-evolutionComparative genomicsPathogensRetroviruses

Identifiers

PMID39419354
PMCPMC11546543

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.