Evidence map›Paper›PMID 31986136›Full record

ArticlePLoS genetics2020

Sex biased expression and co-expression networks in development, using the hymenopteran Nasonia vitripennis.

Alfredo Rago, John H Werren, John K Colbourne

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Alfredo RagoSchool of Biosciences, The University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-7925-4331
John H WerrenDepartment of Biology, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0001-9353-2070
John K ColbourneSchool of Biosciences, The University of Birmingham, Birmingham, United Kingdom.

Funding

Genetic and genomic tools for the emerging model organsism, NasoniaR24GM084917 · NIGMS · UNIVERSITY OF ROCHESTER · PI WERREN, JOHN HAYNES · 2008 to 2011
$1.5M
NIGMS NIH HHS R24 GM084917
6 · The paper itself

Abstract

Sexual dimorphism requires regulation of gene expression in developing organisms. These developmental differences are caused by differential expression of genes and isoforms. The effect of expressing a gene is also influenced by which other genes are simultaneously expressed (functional interactions). However, few studies have described how these processes change across development. We compare the dynamics of differential expression, isoform switching and functional interactions in the sexual development of the model parasitoid wasp Nasonia vitripennis, a system that permits genome wide analysis of sex bias from early embryos to adults. We find relatively little sex-bias in embryos and larvae at the gene level, but several sub-networks show sex-biased functional interactions in early developmental stages. These networks provide new candidates for hymenopteran sex determination, including histone modification. In contrast, sex-bias in pupae and adults is driven by the differential expression of genes. We observe sex-biased isoform switching consistently across development, but mostly in genes that are already differentially expressed. Finally, we discover that sex-biased networks are enriched by genes specific to the Nasonia clade, and that those genes possess the topological properties of key regulators. These findings suggest that regulators in sex-biased networks evolve more rapidly than regulators of other developmental networks.

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksAnimalsFemaleHistone CodeHymenopteraInsect ProteinsLarvaMaleSex FactorsInsect Proteins

Identifiers

PMID31986136
PMCPMC7004391

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LicenceCC BY
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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.