Literature DB >> 16204195

Metabolic functions of duplicate genes in Saccharomyces cerevisiae.

Lars Kuepfer1, Uwe Sauer, Lars M Blank.   

Abstract

The roles of duplicate genes and their contribution to the phenomenon of enzyme dispensability are a central issue in molecular and genome evolution. A comprehensive classification of the mechanisms that may have led to their preservation, however, is currently lacking. In a systems biology approach, we classify here back-up, regulatory, and gene dosage functions for the 105 duplicate gene families of Saccharomyces cerevisiae metabolism. The key tool was the reconciled genome-scale metabolic model iLL672, which was based on the older iFF708. Computational predictions of all metabolic gene knockouts were validated with the experimentally determined phenotypes of the entire singleton yeast library of 4658 mutants under five environmental conditions. iLL672 correctly identified 96%-98% and 73%-80% of the viable and lethal singleton phenotypes, respectively. Functional roles for each duplicate family were identified by integrating the iLL672-predicted in silico duplicate knockout phenotypes, genome-scale carbon-flux distributions, singleton mutant phenotypes, and network topology analysis. The results provide no evidence for a particular dominant function that maintains duplicate genes in the genome. In particular, the back-up function is not favored by evolutionary selection because duplicates do not occur more frequently in essential reactions than singleton genes. Instead of a prevailing role, multigene-encoded enzymes cover different functions. Thus, at least for metabolism, persistence of the paralog fraction in the genome can be better explained with an array of different, often overlapping functional roles.

Entities:  

Mesh:

Year:  2005        PMID: 16204195      PMCID: PMC1240085          DOI: 10.1101/gr.3992505

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  69 in total

1.  Metabolic network analysis of the causes and evolution of enzyme dispensability in yeast.

Authors:  Balázs Papp; Csaba Pál; Laurence D Hurst
Journal:  Nature       Date:  2004-06-10       Impact factor: 49.962

Review 2.  High-throughput phenomics: experimental methods for mapping fluxomes.

Authors:  Uwe Sauer
Journal:  Curr Opin Biotechnol       Date:  2004-02       Impact factor: 9.740

Review 3.  Biological robustness.

Authors:  Hiroaki Kitano
Journal:  Nat Rev Genet       Date:  2004-11       Impact factor: 53.242

Review 4.  Evolutionary genomics: new genes for new jobs.

Authors:  Daven C Presgraves
Journal:  Curr Biol       Date:  2005-01-26       Impact factor: 10.834

5.  Transcription control reprogramming in genetic backup circuits.

Authors:  Ran Kafri; Arren Bar-Even; Yitzhak Pilpel
Journal:  Nat Genet       Date:  2005-02-20       Impact factor: 38.330

Review 6.  Yeast genome evolution in the post-genome era.

Authors:  C Seoighe; K H Wolfe
Journal:  Curr Opin Microbiol       Date:  1999-10       Impact factor: 7.934

7.  Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis.

Authors:  E A Winzeler; D D Shoemaker; A Astromoff; H Liang; K Anderson; B Andre; R Bangham; R Benito; J D Boeke; H Bussey; A M Chu; C Connelly; K Davis; F Dietrich; S W Dow; M El Bakkoury; F Foury; S H Friend; E Gentalen; G Giaever; J H Hegemann; T Jones; M Laub; H Liao; N Liebundguth; D J Lockhart; A Lucau-Danila; M Lussier; N M'Rabet; P Menard; M Mittmann; C Pai; C Rebischung; J L Revuelta; L Riles; C J Roberts; P Ross-MacDonald; B Scherens; M Snyder; S Sookhai-Mahadeo; R K Storms; S Véronneau; M Voet; G Volckaert; T R Ward; R Wysocki; G S Yen; K Yu; K Zimmermann; P Philippsen; M Johnston; R W Davis
Journal:  Science       Date:  1999-08-06       Impact factor: 47.728

8.  Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model.

Authors:  Natalie C Duarte; Markus J Herrgård; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2004-06-14       Impact factor: 9.043

Review 9.  Evolutionary genomics: yeasts accelerate beyond BLAST.

Authors:  Ken Wolfe
Journal:  Curr Biol       Date:  2004-05-25       Impact factor: 10.834

10.  Genomic background predicts the fate of duplicated genes: evidence from the yeast genome.

Authors:  Ze Zhang; Hirohisa Kishino
Journal:  Genetics       Date:  2004-04       Impact factor: 4.562

View more
  110 in total

1.  Efficient classification of complete parameter regions based on semidefinite programming.

Authors:  Lars Kuepfer; Uwe Sauer; Pablo A Parrilo
Journal:  BMC Bioinformatics       Date:  2007-01-15       Impact factor: 3.169

2.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

Authors:  Jan Schellenberger; Richard Que; Ronan M T Fleming; Ines Thiele; Jeffrey D Orth; Adam M Feist; Daniel C Zielinski; Aarash Bordbar; Nathan E Lewis; Sorena Rahmanian; Joseph Kang; Daniel R Hyduke; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2011-08-04       Impact factor: 13.491

Review 3.  Systems-biology approaches for predicting genomic evolution.

Authors:  Balázs Papp; Richard A Notebaart; Csaba Pál
Journal:  Nat Rev Genet       Date:  2011-08-02       Impact factor: 53.242

4.  Springing into Action: Reg2 Negatively Regulates Snf1 Protein Kinase and Facilitates Recovery from Prolonged Glucose Starvation in Saccharomyces cerevisiae.

Authors:  Marcin Maziarz; Aishwarya Shevade; LaKisha Barrett; Sergei Kuchin
Journal:  Appl Environ Microbiol       Date:  2016-06-13       Impact factor: 4.792

5.  Computational prediction and experimental verification of the gene encoding the NAD+/NADP+-dependent succinate semialdehyde dehydrogenase in Escherichia coli.

Authors:  Tobias Fuhrer; Lifeng Chen; Uwe Sauer; Dennis Vitkup
Journal:  J Bacteriol       Date:  2007-09-14       Impact factor: 3.490

6.  The degree of redundancy in metabolic genes is linked to mode of metabolism.

Authors:  R Mahadevan; D R Lovley
Journal:  Biophys J       Date:  2007-11-02       Impact factor: 4.033

7.  The pattern of evolution of smaller-scale gene duplicates in mammalian genomes is more consistent with neo- than subfunctionalisation.

Authors:  Timothy Hughes; David A Liberles
Journal:  J Mol Evol       Date:  2007-10-24       Impact factor: 2.395

8.  Asymmetric relationships between proteins shape genome evolution.

Authors:  Richard A Notebaart; Philip R Kensche; Martijn A Huynen; Bas E Dutilh
Journal:  Genome Biol       Date:  2009-02-12       Impact factor: 13.583

9.  Connecting extracellular metabolomic measurements to intracellular flux states in yeast.

Authors:  Monica L Mo; Bernhard O Palsson; Markus J Herrgård
Journal:  BMC Syst Biol       Date:  2009-03-25

10.  How to identify essential genes from molecular networks?

Authors:  Gabriel del Rio; Dirk Koschützki; Gerardo Coello
Journal:  BMC Syst Biol       Date:  2009-10-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.