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

Journal Article · · PLoS ONE

Here, 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"º 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.

Research Organization:
Boston Univ., MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0012627
OSTI ID:
1340026
Alternate ID(s):
OSTI ID: 1347524
Journal Information:
PLoS ONE, Journal Name: PLoS ONE Vol. 12 Journal Issue: 1; ISSN 1932-6203
Publisher:
Public Library of Science (PLoS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 8 works
Citation information provided by
Web of Science

References (37)

Systematic condition-dependent annotation of metabolic genes journal November 2007
Environments that Induce Synthetic Microbial Ecosystems journal November 2010
Statistical methods for detecting molecular adaptation journal December 2000
Metabolic network analysis of the causes and evolution of enzyme dispensability in yeast journal June 2004
Connecting extracellular metabolomic measurements to intracellular flux states in yeast journal January 2009
Rapid Subfunctionalization Accompanied by Prolonged and Substantial Neofunctionalization in Duplicate Gene Evolution journal January 2005
An integrated approach to characterize genetic interaction networks in yeast metabolism journal May 2011
Estimating Synonymous and Nonsynonymous Substitution Rates Under Realistic Evolutionary Models journal January 2000
Analysis of optimality in natural and perturbed metabolic networks journal November 2002
Need-Based Up-Regulation of Protein Levels in Response to Deletion of Their Duplicate Genes journal March 2010
The Ka/Ks ratio: diagnosing the form of sequence evolution journal September 2002
Why Is the Correlation between Gene Importance and Gene Evolutionary Rate So Weak? journal January 2009
Plasticity of genetic interactions in metabolic networks of yeast journal February 2007
Integrated Assessment of Genomic Correlates of Protein Evolutionary Rate journal June 2009
Principles of transcriptional control in the metabolic network of Saccharomyces cerevisiae journal November 2003
Protein dispensability and rate of evolution journal June 2001
Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae journal March 2004
Adjusting for Selection on Synonymous Sites in Estimates of Evolutionary Distance journal September 2004
Phylogenetic circumscription of , and other members of the Saccharomycetaceae, and the proposal of the new genera , , , and journal December 2003
Fitness and its role in evolutionary genetics journal August 2009
The Genetic Landscape of a Cell journal January 2010
Regulation of Gene Expression in Flux Balance Models of Metabolism journal November 2001
Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems journal November 2008
Functional profiling of the Saccharomyces cerevisiae genome journal July 2002
What is flux balance analysis? journal March 2010
The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes journal April 2008
Modular epistasis in yeast metabolism journal December 2004
Revising the Representation of Fatty Acid, Glycerolipid, and Glycerophospholipid Metabolism in the Consensus Model of Yeast Metabolism journal August 2013
Transcription control reprogramming in genetic backup circuits journal February 2005
Systematic screen for human disease genes in yeast journal July 2002
Flux balance analysis of biological systems: applications and challenges journal March 2009
Backup without redundancy: genetic interactions reveal the cost of duplicate gene loss journal January 2007
Metabolic functions of duplicate genes in Saccharomyces cerevisiae journal September 2005
Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes journal March 2011
Flux Coupling Analysis of Genome-Scale Metabolic Network Reconstructions journal February 2004
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis journal August 1999
Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance journal January 2013

Figures / Tables (4)