Evidence map›Paper›PMID 39707169›Full record

ArticleBMC genomics2024

Identification of diversity-generating retroelements in host-associated and environmental genomes: prevalence, diversity, and roles.

Mariela Carrasco-Villanueva, Chaoxian Wang, Chaochun Wei

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mariela Carrasco-Villanueva *School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Chaoxian Wang *School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Chaochun WeiSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China. ccwei@sjtu.edu.cn.

Funding

National Key Research and Development Program of China 2023YFF1001600National Natural Science Foundation of China 32170643Natural Science Foundation of Shanghai Municipality 20ZR1428200, 22ZR1433600
6 · The paper itself

Abstract

backgroundThe diversity-generating retroelements (DGRs) are a family of genetic elements that can produce mutations in target genes often related to ligand-binding functions, which possess a C-type lectin (CLec) domain that tolerates massive variations. They were first identified in viruses, then in bacteria and archaea from human-associated and environmental genomes. This DGR mechanism represents a fast adaptation of organisms to ever- changing environments. However, their existence, phylogenetic and structural diversity, and functions in a wide range of environments are largely unknown.

resultsHere we present a study of DGR systems based on metagenome-assembled genomes (MAGs) from host-associated, aquatic, terrestrial and engineered environments. In total, we identified 861 non-redundant DGR-RTs and ~ 5.7% are new. We found that microbes associated with human hosts harbor the highest number of DGRs and also exhibit a higher prevalence of DGRs. After normalizing with genome size and including more genome data, we found that DGRs occur more frequently in organisms with smaller genomes. Overall, we identified nine main clades in the phylogenetic tree of reverse transcriptases (RTs), some comprising specific phyla and cassette architectures. We identified 38 different cassette patterns and 6 of them were shown in at least 10 DGRs, showing differences in terms of the numbers, arrangements, and orientations of their components. Finally, most of the target genes were related to ligand-binding and signaling functions, but we discovered a few cases in which the VRs were situated in domains different from the CLec.

conclusionsOur research sheds light on the widespread prevalence of DGRs within environments and taxa, and supports the DGR phylogenetic divergence in different organisms. These variations might also occur in their structures since some cassette architectures were common in specific underrepresented phyla. In addition, we suggest that VRs could be found in domains different to the CLec, which should be further explored for organisms in scarcely studied environments.

Indexed as

Genetic VariationPhylogenyRetroelementsArchaeaBacteriaHumansMetagenomeRNA-Directed DNA PolymeraseRetroelementsRNA-Directed DNA PolymeraseCassette structureC-type lectin (CLec) foldDiversity-generating retroelement (DGR)Domain annotationMetagenome assembled genome (MAG)Target gene

Identifiers

PMID39707169
PMCPMC11661182

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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.