Evidence map›Paper›PMID 23720455›Full record

ArticleGenome research2013

Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast.

Daniel A Skelly, Gennifer E Merrihew, Michael Riffle, Caitlin F Connelly, Emily O Kerr, Marnie Johansson, Daniel Jaschob, Beth Graczyk, Nicholas J Shulman, Jon Wakefield and 8 more

Abstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  9. Article
  10. The metabolic domestication syndrome of budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Characterization of Cold-TolerantMicroorganisms · 2021
    Article
  17. Article
  18. Transcriptome Signatures Predict Phenotypic Variations ofFrontiers in cellular and infection microbiology · 2021
    Article
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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

18 authors.

Daniel A SkellyDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
Gennifer E Merrihew
Michael Riffle
Caitlin F Connelly
Emily O Kerr
Marnie Johansson
Daniel Jaschob
Beth Graczyk
Nicholas J Shulman
Jon Wakefield
Sara J Cooper
Stanley Fields
William S Noble
Eric G D Muller
Trisha N Davis
Maitreya J Dunham
Michael J Maccoss
Joshua M Akey

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Heritable variation of mRNA decay rates: An unappreciated source of gene expressR01GM094810 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2010 to 2013
$1.2M
The functional significance of non-coding variationR01GM098360 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2011 to 2014
$1.2M
Assessing Effects of Genetics and Environment on Metabolism in S cerevisiaeF32DK080608 · NIDDK · UNIVERSITY OF WASHINGTON · PI COOPER, SARA J · 2008 to 2009
$96k
Howard Hughes Medical InstituteNIDDK NIH HHS 1F32DK080608NIDDK NIH HHS F32 DK080608NIGMS NIH HHS P41 GM103533NIGMS NIH HHS P41GM103533NIGMS NIH HHS R01 GM094810NIGMS NIH HHS R01GM094810NIGMS NIH HHS R01 GM098360NIGMS NIH HHS R01GM098360
6 · The paper itself

Abstract

To better understand the quantitative characteristics and structure of phenotypic diversity, we measured over 14,000 transcript, protein, metabolite, and morphological traits in 22 genetically diverse strains of Saccharomyces cerevisiae. More than 50% of all measured traits varied significantly across strains [false discovery rate (FDR) = 5%]. The structure of phenotypic correlations is complex, with 85% of all traits significantly correlated with at least one other phenotype (median = 6, maximum = 328). We show how high-dimensional molecular phenomics data sets can be leveraged to accurately predict phenotypic variation between strains, often with greater precision than afforded by DNA sequence information alone. These results provide new insights into the spectrum and structure of phenotypic diversity and the characteristics influencing the ability to accurately predict phenotypes.

Indexed as

Genome, FungalPhenotypeGenetic VariationQuantitative Trait LociSaccharomyces cerevisiaeTranscriptome

Identifiers

PMID23720455
PMCPMC3759725

What OpenQuestion holds

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LicenceCC BY-NC
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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.