Evidence map›Paper›PMID 23733787›Full record

ArticleGenetics2013

Testing for the footprint of sexually antagonistic polymorphisms in the pseudoautosomal region of a plant sex chromosome pair.

Suo Qiu, Roberta Bergero, Deborah Charlesworth

Open access · bronzeAbstract read
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Article in Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 57 citations in OpenAlex.

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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 at 1 institution in 1 country.

Suo QiuInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom.
Roberta Bergero
Deborah Charlesworth
University of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/E020909/1Medical Research Council MR/K001744/1
6 · The paper itself

Abstract

The existence of sexually antagonistic (SA) polymorphism is widely considered the most likely explanation for the evolution of suppressed recombination of sex chromosome pairs. This explanation is largely untested empirically, and no such polymorphisms have been identified, other than in fish, where no evidence directly implicates these genes in events causing loss of recombination. We tested for the presence of loci with SA polymorphism in the plant Silene latifolia, which is dioecious (with separate male and female individuals) and has a pair of highly heteromorphic sex chromosomes, with XY males. Suppressed recombination between much of the Y and X sex chromosomes evolved in several steps, and the results in Bergero et al. (2013) show that it is still ongoing in the recombining or pseudoautosomal, regions (PARs) of these chromosomes. We used molecular evolutionary approaches to test for the footprints of SA polymorphisms, based on sequence diversity levels in S. latifolia PAR genes identified by genetic mapping. Nucleotide diversity is high for at least four of six PAR genes identified, and our data suggest the existence of polymorphisms maintained by balancing selection in this genome region, since molecular evolutionary (HKA) tests exclude an elevated mutation rate, and other tests also suggest balancing selection. The presence of sexually antagonistic alleles at a locus or loci in the PAR is suggested by the very different X and Y chromosome allele frequencies for at least one PAR gene.

Indexed as

Polymorphism, GeneticBiological EvolutionChromosome MappingChromosomes, PlantRecombination, GeneticSequence Analysis, DNASex ChromosomesSex Determination ProcessesSilenenucleotide diversitypseudoautosomal regionsex chromosomessexual antagonismSilene latifolia

Identifiers

PMID23733787
PMCPMC3697971
OpenAlexW2115565628

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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.