Evidence map›Paper›PMID 28459980›Full record

ArticleGenome biology and evolution2017

Genome Mutational and Transcriptional Hotspots Are Traps for Duplicated Genes and Sources of Adaptations.

Mario A Fares, Beatriz Sabater-Muñoz, Christina Toft

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Distinct chromosomal "niches" in the genome ofNAR genomics and bioinformatics · 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

3 authors.

Mario A FaresInstituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas (CSIC), Universidad Politécnica de Valencia, Valencia, Spain.
Beatriz Sabater-MuñozInstituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas (CSIC), Universidad Politécnica de Valencia, Valencia, Spain.
Christina ToftInstitute for Integrative Systems Biology, Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Valencia, Paterna, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene duplication generates new genetic material, which has been shown to lead to major innovations in unicellular and multicellular organisms. A whole-genome duplication occurred in the ancestor of Saccharomyces yeast species but 92% of duplicates returned to single-copy genes shortly after duplication. The persisting duplicated genes in Saccharomyces led to the origin of major metabolic innovations, which have been the source of the unique biotechnological capabilities in the Baker's yeast Saccharomyces cerevisiae. What factors have determined the fate of duplicated genes remains unknown. Here, we report the first demonstration that the local genome mutation and transcription rates determine the fate of duplicates. We show, for the first time, a preferential location of duplicated genes in the mutational and transcriptional hotspots of S. cerevisiae genome. The mechanism of duplication matters, with whole-genome duplicates exhibiting different preservation trends compared to small-scale duplicates. Genome mutational and transcriptional hotspots are rich in duplicates with large repetitive promoter elements. Saccharomyces cerevisiae shows more tolerance to deleterious mutations in duplicates with repetitive promoter elements, which in turn exhibit higher transcriptional plasticity against environmental perturbations. Our data demonstrate that the genome traps duplicates through the accelerated regulatory and functional divergence of their gene copies providing a source of novel adaptations in yeast.

Indexed as

Gene DuplicationMutationTranscription, GeneticAdaptation, BiologicalMutation RatePromoter Regions, GeneticSaccharomyces cerevisiaeStress, Physiologicaladaptationsenvironmental stressexpression genome hotspotsgene duplicationgenetic redundancymutational genome hotspotsphenotypic plasticity

Identifiers

PMID28459980
PMCPMC5433386

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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.