Evidence map›Paper›PMID 26560339›Full record

ArticleGenome biology and evolution2015

Patterns of Gene Conversion in Duplicated Yeast Histones Suggest Strong Selection on a Coadapted Macromolecular Complex.

Kathy Scienski, Justin C Fay, Gavin C Conant

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

12 citing papers in PubMed.

  1. POInTBMC bioinformatics · 2023
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  10. SMORE: Synteny Modulator of Repetitive Elements.Life (Basel, Switzerland) · 2017
    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

3 authors.

Kathy ScienskiDivision of Animal Sciences, University of Missouri, Columbia Present address: Genetics Graduate Program, Texas A&M University, College Station, TX.
Justin C FayDepartment of Genetics, Washington University Center for Genome Sciences and Systems Biology, Washington University conantg@missouri.edu jfay@genetics.wustl.edu.
Gavin C ConantDivision of Animal Sciences, University of Missouri, Columbia Informatics Institute, University of Missouri, Columbia conantg@missouri.edu jfay@genetics.wustl.edu.

Funding

Genetic basis and evolution of thermotolerance in the Saccharomyces yeast speciesR01GM080669 · NIGMS · WASHINGTON UNIVERSITY · PI FAY, JUSTIN C · 2007 to 2025
$5.3M
NIGMS NIH HHS R01 GM080669
6 · The paper itself

Abstract

We find evidence for interlocus gene conversion in five duplicated histone genes from six yeast species. The sequences of these duplicated genes, surviving from the ancient genome duplication, show phylogenetic patterns inconsistent with the well-resolved orthology relationships inferred from a likelihood model of gene loss after the genome duplication. Instead, these paralogous genes are more closely related to each other than any is to its nearest ortholog. In addition to simulations supporting gene conversion, we also present evidence for elevated rates of radical amino acid substitutions along the branches implicated in the conversion events. As these patterns are similar to those seen in ribosomal proteins that have undergone gene conversion, we speculate that in cases where duplicated genes code for proteins that are a part of tightly interacting complexes, selection may favor the fixation of gene conversion events in order to maintain high protein identities between duplicated copies.

Indexed as

Gene ConversionGene DuplicationSelection, GeneticEvolution, MolecularHistonesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsHistonesSaccharomyces cerevisiae Proteinsgene conversiongenome duplicationhistones

Identifiers

PMID26560339
PMCPMC4700949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.