Evidence map›Paper›PMID 24474169›Full record

ArticleG3 (Bethesda, Md.)2014

Yeast growth plasticity is regulated by environment-specific multi-QTL interactions.

Aatish Bhatia, Anupama Yadav, Chenchen Zhu, Julien Gagneur, Aparna Radhakrishnan, Lars M Steinmetz, Gyan Bhanot, Himanshu Sinha

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  20. Spurious transcription factor binding: non-functional or genetically redundant?BioEssays : news and reviews in molecular, cellular and developmental biology · 2014
    Article
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

8 authors.

Aatish BhatiaDepartment of Physics and Astronomy, Rutgers University, Piscataway, New Jersey 08854.
Anupama YadavDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai 400005, India.
Chenchen ZhuEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
Julien GagneurGene Center, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
Aparna Radhakrishnan
Lars M SteinmetzEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany Department of Genetics, Stanford University School of Medicine, Stanford, California 94305 Stanford Genome Technology Center, Stanford University, Palo Alto, California 94304.
Gyan BhanotDepartment of Physics and Astronomy, Rutgers University, Piscataway, New Jersey 08854 Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai 400005, India BioMaPS Institute for Quantitative Biology, Rutgers University, Piscataway, New Jersey 08854 Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854 Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey 08903 Simons Center for Systems Biology, Institute for Advanced Study, Princeton, New Jersey 08540.
Himanshu SinhaDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai 400005, India hsinha@tifr.res.in.

Funding

Quantitative Trait Dissection by Reciprocal HemizygosityR01GM068717 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2003 to 2014
$6.5M
NIGMS NIH HHS R01 GM068717
6 · The paper itself

Abstract

For a unicellular, nonmotile organism like Saccharomyces cerevisiae, carbon sources act as nutrients and as signaling molecules; consequently, these sources affect various fitness parameters, including growth. It is therefore advantageous for yeast strains to adapt their growth to carbon source variation. The ability of a given genotype to manifest different phenotypes in varying environments is known as phenotypic plasticity. To identify quantitative trait loci (QTL) that drive plasticity in growth, two growth parameters (growth rate and biomass) were measured for a set of meiotic recombinants of two genetically divergent yeast strains grown in different carbon sources. To identify QTL contributing to plasticity across pairs of environments, gene-environment interaction mapping was performed, which identified several QTL that have a differential effect across environments, some of which act antagonistically across pairs of environments. Multi-QTL analysis identified loci interacting with previously known growth affecting QTL as well as novel two-QTL interactions that affect growth. A QTL that had no significant independent effect was found to alter growth rate and biomass for several carbon sources through two-QTL interactions. Our study demonstrates that environment-specific epistatic interactions contribute to the growth plasticity in yeast. We propose that a targeted scan for epistatic interactions, such as the one described here, can help unravel mechanisms regulating phenotypic plasticity.

Indexed as

EnvironmentGene-Environment InteractionQuantitative Trait LociCarbonChromosome MappingEpistasis, GeneticSaccharomyces cerevisiaeYeastsCarboncarbon source variationgene-environment interactiongene–gene interactiongrowth plasticityquantitative trait locus

Identifiers

PMID24474169
PMCPMC4025475

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.