Literature DB >> 17943314

Comparative analysis of essential genes and nonessential genes in Escherichia coli K12.

Xiaodong Gong1, Shaohua Fan, Amy Bilderbeck, Mingkun Li, Hongxia Pang, Shiheng Tao.   

Abstract

Genes can be classified as essential or nonessential based on their indispensability for a living organism. Previous researches have suggested that essential genes evolve more slowly than nonessential genes and the impact of gene dispensability on a gene's evolutionary rate is not as strong as expected. However, findings have not been consistent and evidence is controversial regarding the relationship between the gene indispensability and the rate of gene evolution. Understanding how different classes of genes evolve is essential for a full understanding of evolutionary biology, and may have medical relevance in the design of new antibacterial agents. We therefore performed an investigation into the properties of essential and nonessential genes. Analysis of evolutionary conservation, protein length distribution and amino acid usage between essential and nonessential genes in Escherichia coli K12 demonstrated that essential genes are relatively preserved throughout the bacterial kingdom when compared to nonessential genes. Furthermore, results show that essential genes, compared to nonessential genes, have a significantly higher proportion of large (>534 amino acids) and small proteins (<139 amino acids) relative to medium-sized proteins. The pattern of amino acids usage shows a similar trend for essential and nonessential genes, although some notable exceptions are observed. These findings help to clarify our understanding of the evolutionary mechanisms of essential and nonessential genes, relevant to the study of mutagenesis and possibly allowing prediction of gene properties in other poorly understood organisms.

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Year:  2007        PMID: 17943314     DOI: 10.1007/s00438-007-0298-x

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  27 in total

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Authors:  J Zhang
Journal:  Trends Genet       Date:  2000-03       Impact factor: 11.639

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Authors:  A E Hirsh; H B Fraser
Journal:  Nature       Date:  2001-06-28       Impact factor: 49.962

3.  How essential are nonessential genes?

Authors:  Gang Fang; Eduardo Rocha; Antoine Danchin
Journal:  Mol Biol Evol       Date:  2005-07-13       Impact factor: 16.240

4.  Selection costs of amino acid substitutions in ColE1 and ColIa gene clusters harbored by Escherichia coli.

Authors:  C L Craig; R S Weber
Journal:  Mol Biol Evol       Date:  1998-06       Impact factor: 16.240

5.  The complete genome sequence of Escherichia coli K-12.

Authors:  F R Blattner; G Plunkett; C A Bloch; N T Perna; V Burland; M Riley; J Collado-Vides; J D Glasner; C K Rode; G F Mayhew; J Gregor; N W Davis; H A Kirkpatrick; M A Goeden; D J Rose; B Mau; Y Shao
Journal:  Science       Date:  1997-09-05       Impact factor: 47.728

6.  Metabolic efficiency and amino acid composition in the proteomes of Escherichia coli and Bacillus subtilis.

Authors:  Hiroshi Akashi; Takashi Gojobori
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

7.  A strong effect of AT mutational bias on amino acid usage in Buchnera is mitigated at high-expression genes.

Authors:  Carmen Palacios; Jennifer J Wernegreen
Journal:  Mol Biol Evol       Date:  2002-09       Impact factor: 16.240

8.  CoSMoS: Conserved Sequence Motif Search in the proteome.

Authors:  Xiao I Liu; Neeraj Korde; Ursula Jakob; Lars I Leichert
Journal:  BMC Bioinformatics       Date:  2006-01-24       Impact factor: 3.169

9.  Evolutionary constraints on yeast protein size.

Authors:  Jonas Warringer; Anders Blomberg
Journal:  BMC Evol Biol       Date:  2006-08-15       Impact factor: 3.260

10.  Highly accurate genome sequences of Escherichia coli K-12 strains MG1655 and W3110.

Authors:  Koji Hayashi; Naoki Morooka; Yoshihiro Yamamoto; Katsutoshi Fujita; Katsumi Isono; Sunju Choi; Eiichi Ohtsubo; Tomoya Baba; Barry L Wanner; Hirotada Mori; Takashi Horiuchi
Journal:  Mol Syst Biol       Date:  2006-02-21       Impact factor: 11.429

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  13 in total

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Authors:  Sun Shim Choi; Sridhar Hannenhalli
Journal:  J Mol Evol       Date:  2013-02-12       Impact factor: 2.395

2.  Relationship between operon preference and functional properties of persistent genes in bacterial genomes.

Authors:  Marit S Bratlie; Jostein Johansen; Finn Drabløs
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3.  Loss of genetic redundancy in reductive genome evolution.

Authors:  André G Mendonça; Renato J Alves; José B Pereira-Leal
Journal:  PLoS Comput Biol       Date:  2011-02-17       Impact factor: 4.475

4.  Evolutionary Conservation of Bacterial Essential Metabolic Genes across All Bacterial Culture Media.

Authors:  Oren Ish-Am; David M Kristensen; Eytan Ruppin
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

5.  Essential Genes Embody Increased Mutational Robustness to Compensate for the Lack of Backup Genetic Redundancy.

Authors:  Osher Cohen; Matthew Oberhardt; Keren Yizhak; Eytan Ruppin
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

Review 6.  A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes.

Authors:  Chong Peng; Yan Lin; Hao Luo; Feng Gao
Journal:  Front Microbiol       Date:  2017-11-27       Impact factor: 5.640

7.  Signal Recognition Particle Suppressor Screening Reveals the Regulation of Membrane Protein Targeting by the Translation Rate.

Authors:  Liuqun Zhao; Yanyan Cui; Gang Fu; Zixiang Xu; Xiaoping Liao; Dawei Zhang
Journal:  mBio       Date:  2021-01-12       Impact factor: 7.867

8.  BING, a novel antimicrobial peptide isolated from Japanese medaka plasma, targets bacterial envelope stress response by suppressing cpxR expression.

Authors:  Miao Dong; Shu Hin Kwok; Joseph L Humble; Yimin Liang; Sze Wing Tang; Kin Hung Tang; Man Kit Tse; Josh Haipeng Lei; Rajkumar Ramalingam; Mohamad Koohi-Moghadam; Doris Wai Ting Au; Hongyan Sun; Yun Wah Lam
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

9.  Geptop: a gene essentiality prediction tool for sequenced bacterial genomes based on orthology and phylogeny.

Authors:  Wen Wei; Lu-Wen Ning; Yuan-Nong Ye; Feng-Biao Guo
Journal:  PLoS One       Date:  2013-08-15       Impact factor: 3.240

10.  Ultraviolet-induced RNA:DNA hybrids interfere with chromosomal DNA synthesis.

Authors:  Elena A Kouzminova; Andrei Kuzminov
Journal:  Nucleic Acids Res       Date:  2021-04-19       Impact factor: 16.971

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