Evidence map›Paper›PMID 32170949›Full record

ArticleMolecular biology and evolution2020

Runaway GC Evolution in Gerbil Genomes.

Rodrigo Pracana, Adam D Hargreaves, John F Mulley, Peter W H Holland

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 16 citations in OpenAlex.

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  5. Human follicular mites: Ectoparasites becoming symbionts.Molecular biology and evolution · 2022
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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

4 authors at 2 institutions in 1 country.

Rodrigo PracanaDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Adam D HargreavesDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
John F MulleySchool of Natural Sciences, Bangor University, Bangor, Gwynedd, United Kingdom.
Peter W H HollandDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBBangor University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombination increases the local GC-content in genomic regions through GC-biased gene conversion (gBGC). The recent discovery of a large genomic region with extreme GC-content in the fat sand rat Psammomys obesus provides a model to study the effects of gBGC on chromosome evolution. Here, we compare the GC-content and GC-to-AT substitution patterns across protein-coding genes of four gerbil species and two murine rodents (mouse and rat). We find that the known high-GC region is present in all the gerbils, and is characterized by high substitution rates for all mutational categories (AT-to-GC, GC-to-AT, and GC-conservative) both at synonymous and nonsynonymous sites. A higher AT-to-GC than GC-to-AT rate is consistent with the high GC-content. Additionally, we find more than 300 genes outside the known region with outlying values of AT-to-GC synonymous substitution rates in gerbils. Of these, over 30% are organized into at least 17 large clusters observable at the megabase-scale. The unusual GC-skewed substitution pattern suggests the evolution of genomic regions with very high recombination rates in the gerbil lineage, which can lead to a runaway increase in GC-content. Our results imply that rapid evolution of GC-content is possible in mammals, with gerbil species providing a powerful model to study the mechanisms of gBGC.

Indexed as

Base CompositionEvolution, MolecularGene ConversionGenomeAnimalsGerbillinaeMultigene FamilyMutationbiased substitution, fixation biasgBGCGC-biased gene conversionGC-contentgenome evolutionrecombination

Identifiers

PMID32170949
PMCPMC7403616
OpenAlexW3012521282

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Registered trials

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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.