Evidence map›Paper›PMID 25609648›Full record

ArticleMolecular systems biology2015

Essential gene disruptions reveal complex relationships between phenotypic robustness, pleiotropy, and fitness.

Christopher R Bauer, Shuang Li, Mark L Siegal

Abstract read
In one paragraph

Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Loss of U11/U12 spliceosome geneLife science alliance · 2026
    Article
  2. Review
  3. Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Phenotypic Robustness of Epidermal Stem Cell Number inFrontiers in cell and developmental biology · 2021
    Article
  14. Article
  15. Genetic buffering and potentiation in metabolism.PLoS computational biology · 2020
    Article
  16. Article
  17. SNPeffect: identifying functional roles of SNPs using metabolic networks.The Plant journal : for cell and molecular biology · 2020
    Article
  18. Article
  19. Large-effect flowering time mutations reveal conditionally adaptive paths through fitness landscapes inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. Review
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.

Christopher R BauerDepartment of Biology, NYU Center for Genomics and Systems Biology, New York, NY, USA.
Shuang LiDepartment of Biology, NYU Center for Genomics and Systems Biology, New York, NY, USA.
Mark L SiegalDepartment of Biology, NYU Center for Genomics and Systems Biology, New York, NY, USA mark.siegal@nyu.edu.

Funding

Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Sources and consequences of phenotypic variation in complex regulatory networksR01GM086673 · NIGMS · NEW YORK UNIVERSITY · PI SIEGAL, MARK L · 2010 to 2013
$929k
The Role of Gene Expression Noise in Phenotypic HeterogeneityF32GM099373 · NIGMS · NEW YORK UNIVERSITY · PI BAUER, CHRISTOPHER R · 2012 to 2013
$106k
NIGMS NIH HHS 1F32GM099373‐01A1NIGMS NIH HHS F32 GM099373NIGMS NIH HHS NIH R01GM097415NIGMS NIH HHS R01 GM086673NIGMS NIH HHS R01GM086673NIGMS NIH HHS R01 GM097415
6 · The paper itself

Abstract

The concept of robustness in biology has gained much attention recently, but a mechanistic understanding of how genetic networks regulate phenotypic variation has remained elusive. One approach to understand the genetic architecture of variability has been to analyze dispensable gene deletions in model organisms; however, the most important genes cannot be deleted. Here, we have utilized two systems in yeast whereby essential genes have been altered to reduce expression. Using high-throughput microscopy and image analysis, we have characterized a large number of morphological phenotypes, and their associated variation, for the majority of essential genes in yeast. Our results indicate that phenotypic robustness is more highly dependent upon the expression of essential genes than on the presence of dispensable genes. Morphological robustness appears to be a general property of a genotype that is closely related to pleiotropy. While the fitness profile across a range of expression levels is idiosyncratic to each gene, the global pattern indicates that there is a window in which phenotypic variation can be released before fitness effects are observable.

Indexed as

Gene Expression Regulation, FungalGenes, EssentialGenetic FitnessGenetic PleiotropyAllelesDatabases, GeneticEvolution, MolecularGene DeletionGenotypeImage Processing, Computer-AssistedPhenotypeRNA, MessengerSaccharomyces cerevisiaeRNA, Messengerheterogeneitypleiotropyrobustnessvariation

Identifiers

PMID25609648
PMCPMC4332149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.