Evidence map›Paper›PMID 28704372›Full record

ArticlePLoS genetics2017

The ancestral levels of transcription and the evolution of sexual phenotypes in filamentous fungi.

Frances Trail, Zheng Wang, Kayla Stefanko, Caitlyn Cubba, Jeffrey P Townsend

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
11.7field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

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  17. Fungal evolution: cellular, genomic and metabolic complexity.Biological reviews of the Cambridge Philosophical Society · 2020
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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

5 authors at 2 institutions in 1 country.

Frances TrailDepartment of Plant Biology, Michigan State University, East Lansing, MI, United States of America.
Zheng WangDepartment of Biostatistics, Yale University, New Haven, CT, United States of America.
Kayla StefankoDepartment of Plant Biology, Michigan State University, East Lansing, MI, United States of America.
Caitlyn CubbaDepartment of Plant Biology, Michigan State University, East Lansing, MI, United States of America.
Jeffrey P TownsendDepartment of Biostatistics, Yale University, New Haven, CT, United States of America.ORCID http://orcid.org/0000-0002-9890-3907
Michigan State University · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene expression have been hypothesized to play an important role in the evolution of divergent morphologies. To test this hypothesis in a model system, we examined differences in fruiting body morphology of five filamentous fungi in the Sordariomycetes, culturing them in a common garden environment and profiling genome-wide gene expression at five developmental stages. We reconstructed ancestral gene expression phenotypes, identifying genes with the largest evolved increases in gene expression across development. Conducting knockouts and performing phenotypic analysis in two divergent species typically demonstrated altered fruiting body development in the species that had evolved increased expression. Our evolutionary approach to finding relevant genes proved far more efficient than other gene deletion studies targeting whole genomes or gene families. Combining gene expression measurements with knockout phenotypes facilitated the refinement of Bayesian networks of the genes underlying fruiting body development, regulation of which is one of the least understood processes of multicellular development.

Indexed as

Biological EvolutionBayes TheoremFruiting Bodies, FungalFungiGene Expression Regulation, FungalGene Knockout TechniquesGenome, FungalNeurospora crassaPhenotypePhylogenySex DifferentiationSordarialesTranscriptome

Identifiers

PMID28704372
PMCPMC5509106
OpenAlexW2736077513

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.