Evidence map›Paper›PMID 28107392›Full record

ArticlePloS one2017

Upon Accounting for the Impact of Isoenzyme Loss, Gene Deletion Costs Anticorrelate with Their Evolutionary Rates.

Christopher Jacobs, Luke Lambourne, Yu Xia, Daniel Segrè

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. In Silico Knockout Screening ofBioMed research international · 2018
    Article
  7. 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 at 1 institution in 2 countries.

Christopher JacobsBioinformatics Program, Boston University, Boston, Massachusetts, United States of America.ORCID http://orcid.org/0000-0002-6034-1873
Luke LambourneBioinformatics Program, Boston University, Boston, Massachusetts, United States of America.
Yu XiaBioinformatics Program, Boston University, Boston, Massachusetts, United States of America.
Daniel SegrèBioinformatics Program, Boston University, Boston, Massachusetts, United States of America.
Boston University · US

Funding

Visant-Predictome: A System for Integration, Mining, Visualization and AnalysisR01GM103502 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2012 to 2015
$3.0M
Computation and functional significance of multi-phenotype genetic interaction maR01GM089978 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DUDLEY, AIMEE M, SEGRE, DANIEL · 2010 to 2014
$2.3M
NIGMS NIH HHS R01 GM089978NIGMS NIH HHS R01 GM103502
6 · The paper itself

Abstract

System-level metabolic network models enable the computation of growth and metabolic phenotypes from an organism's genome. In particular, flux balance approaches have been used to estimate the contribution of individual metabolic genes to organismal fitness, offering the opportunity to test whether such contributions carry information about the evolutionary pressure on the corresponding genes. Previous failure to identify the expected negative correlation between such computed gene-loss cost and sequence-derived evolutionary rates in Saccharomyces cerevisiae has been ascribed to a real biological gap between a gene's fitness contribution to an organism "here and now" and the same gene's historical importance as evidenced by its accumulated mutations over millions of years of evolution. Here we show that this negative correlation does exist, and can be exposed by revisiting a broadly employed assumption of flux balance models. In particular, we introduce a new metric that we call "function-loss cost", which estimates the cost of a gene loss event as the total potential functional impairment caused by that loss. This new metric displays significant negative correlation with evolutionary rate, across several thousand minimal environments. We demonstrate that the improvement gained using function-loss cost over gene-loss cost is explained by replacing the base assumption that isoenzymes provide unlimited capacity for backup with the assumption that isoenzymes are completely non-redundant. We further show that this change of the assumption regarding isoenzymes increases the recall of epistatic interactions predicted by the flux balance model at the cost of a reduction in the precision of the predictions. In addition to suggesting that the gene-to-reaction mapping in genome-scale flux balance models should be used with caution, our analysis provides new evidence that evolutionary gene importance captures much more than strict essentiality.

Indexed as

Evolution, MolecularGene DeletionEpistasis, GeneticGenes, FungalIsoenzymesSaccharomyces cerevisiaeIsoenzymes

Identifiers

PMID28107392
PMCPMC5249160
OpenAlexW2572544426

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.