Evidence map›Paper›PMID 24603560›Full record

ArticlePLoS genetics2014

Genetic basis of metabolome variation in yeast.

Jeffrey S Breunig, Sean R Hackett, Joshua D Rabinowitz, Leonid Kruglyak

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. The metabolic domestication syndrome of budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Plant and microbial sciences as key drivers in the development of metabolomics research.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Systems genetics of theGenome research · 2020
    Article
  12. Article
  13. Identification of bioactive metabolites using activity metabolomics.Nature reviews. Molecular cell biology · 2019
    Review
  14. Article
  15. Article
  16. Natural genetic variation inGenome research · 2018
    Article
  17. Article
  18. Genetics ofeLife · 2018
    Article
  19. Article
  20. Natural variation of chronological aging in theNPJ aging and mechanisms of disease · 2018
    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

4 authors.

Jeffrey S BreunigLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America; Department of Molecular Biology, Princeton University, Princeton, New Jersey, United States of America.
Sean R HackettLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America; Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, New Jersey, United States of America.
Joshua D RabinowitzLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America; Department of Chemistry, Princeton University, Princeton, New Jersey, United States of America.
Leonid KruglyakDepartments of Human Genetics and Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California, United States of America; Howard Hughes Medical Institute, UCLA, Los Angeles, California, United States of America.

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI POWELL, SUSAN M · 2004 to 2013
$30.6M
Quantitative Methods for Linkage and Associated StudiesR37MH059520 · NIMH · PRINCETON UNIVERSITY · PI KRUGLYAK, LEONID · 2002 to 2011
$3.6M
Toward comprehensive genetic dissection of complex traits in yeastR01GM102308 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEONID KRUGLYAK · 2012 to 2026
$3.3M
Howard Hughes Medical InstituteNIGMS NIH HHS GM071508NIGMS NIH HHS P50 GM071508NIGMS NIH HHS R01 GM102308NIMH NIH HHS R37 MH059520
6 · The paper itself

Abstract

Metabolism, the conversion of nutrients into usable energy and biochemical building blocks, is an essential feature of all cells. The genetic factors responsible for inter-individual metabolic variability remain poorly understood. To investigate genetic causes of metabolome variation, we measured the concentrations of 74 metabolites across ~ 100 segregants from a Saccharomyces cerevisiae cross by liquid chromatography-tandem mass spectrometry. We found 52 quantitative trait loci for 34 metabolites. These included linkages due to overt changes in metabolic genes, e.g., linking pyrimidine intermediates to the deletion of ura3. They also included linkages not directly related to metabolic enzymes, such as those for five central carbon metabolites to ira2, a Ras/PKA pathway regulator, and for the metabolites, S-adenosyl-methionine and S-adenosyl-homocysteine to slt2, a MAP kinase involved in cell wall integrity. The variant of ira2 that elevates metabolite levels also increases glucose uptake and ethanol secretion. These results highlight specific examples of genetic variability, including in genes without prior known metabolic regulatory function, that impact yeast metabolism.

Indexed as

MetabolomicsCarbohydrate MetabolismChromatography, LiquidGenetic LinkageMetabolomeQuantitative Trait LociSaccharomyces cerevisiaeTandem Mass Spectrometry

Identifiers

PMID24603560
PMCPMC3945093

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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.