Literature DB >> 11230160

Genome alignment, evolution of prokaryotic genome organization, and prediction of gene function using genomic context.

Y I Wolf1, I B Rogozin, A S Kondrashov, E V Koonin.   

Abstract

Gene order in prokaryotes is conserved to a much lesser extent than protein sequences. Only several operons, primarily those that code for physically interacting proteins, are conserved in all or most of the bacterial and archaeal genomes. Nevertheless, even the limited conservation of operon organization that is observed can provide valuable evolutionary and functional clues through multiple genome comparisons. A program for constructing gapped local alignments of conserved gene strings in two genomes was developed. The statistical significance of the local alignments was assessed using Monte Carlo simulations. Sets of local alignments were generated for all pairs of completely sequenced bacterial and archaeal genomes, and for each genome a template-anchored multiple alignment was constructed. In most pairwise genome comparisons, <10% of the genes in each genome belonged to conserved gene strings. When closely related pairs of species (i.e., two mycoplasmas) are excluded, the total coverage of genomes by conserved gene strings ranged from <5% for the cyanobacterium Synechocystis sp to 24% for the minimal genome of Mycoplasma genitalium, and 23% in Thermotoga maritima. The coverage of the archaeal genomes was only slightly lower than that of bacterial genomes. The majority of the conserved gene strings are known operons, with the ribosomal superoperon being the top-scoring string in most genome comparisons. However, in some of the bacterial-archaeal pairs, the superoperon is rearranged to the extent that other operons, primarily those subject to horizontal transfer, show the greatest level of conservation, such as the archaeal-type H+-ATPase operon or ABC-type transport cassettes. The level of gene order conservation among prokaryotic genomes was compared to the cooccurrence of genomes in clusters of orthologous genes (COGs) and to the conservation of protein sequences themselves. Only limited correlation was observed between these evolutionary variables. Gene order conservation shows a much lower variance than the cooccurrence of genomes in COGs, which indicates that intragenome homogenization via recombination occurs in evolution much faster than intergenome homogenization via horizontal gene transfer and lineage-specific gene loss. The potential of using template-anchored multiple-genome alignments for predicting functions of uncharacterized genes was quantitatively assessed. Functions were predicted or significantly clarified for approximately 90 COGs (approximately 4% of the total of 2414 analyzed COGs). The most significant predictions were obtained for the poorly characterized archaeal genomes; these include a previously uncharacterized restriction-modification system, a nuclease-helicase combination implicated in DNA repair, and the probable archaeal counterpart of the eukaryotic exosome. Multiple genome alignments are a resource for studies on operon rearrangement and disruption, which is central to our understanding of the evolution of prokaryotic genomes. Because of the rapid evolution of the gene order, the potential of genome alignment for prediction of gene functions is limited, but nevertheless, such predictions information significantly complements the results obtained through protein sequence and structure analysis.

Entities:  

Mesh:

Year:  2001        PMID: 11230160     DOI: 10.1101/gr.gr-1619r

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


  157 in total

1.  A DNA repair system specific for thermophilic Archaea and bacteria predicted by genomic context analysis.

Authors:  Kira S Makarova; L Aravind; Nick V Grishin; Igor B Rogozin; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2002-01-15       Impact factor: 16.971

2.  The identification of functional modules from the genomic association of genes.

Authors:  Berend Snel; Peer Bork; Martijn A Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

3.  Connected gene neighborhoods in prokaryotic genomes.

Authors:  Igor B Rogozin; Kira S Makarova; Janos Murvai; Eva Czabarka; Yuri I Wolf; Roman L Tatusov; Laszlo A Szekely; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2002-05-15       Impact factor: 16.971

4.  Evolutionary analyses of the small subunit of glutamate synthase: gene order conservation, gene fusions, and prokaryote-to-eukaryote lateral gene transfers.

Authors:  Jan O Andersson; Andrew J Roger
Journal:  Eukaryot Cell       Date:  2002-04

5.  Predicting genetic modifier loci using functional gene networks.

Authors:  Insuk Lee; Ben Lehner; Tanya Vavouri; Junha Shin; Andrew G Fraser; Edward M Marcotte
Journal:  Genome Res       Date:  2010-06-09       Impact factor: 9.043

6.  Congruent evolution of different classes of non-coding DNA in prokaryotic genomes.

Authors:  Igor B Rogozin; Kira S Makarova; Darren A Natale; Alexey N Spiridonov; Roman L Tatusov; Yuri I Wolf; Jodie Yin; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

7.  Associations between inverted repeats and the structural evolution of bacterial genomes.

Authors:  Guillaume Achaz; Eric Coissac; Pierre Netter; Eduardo P C Rocha
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

8.  Comparative analysis of ribosomal proteins in complete genomes: an example of reductive evolution at the domain scale.

Authors:  Odile Lecompte; Raymond Ripp; Jean-Claude Thierry; Dino Moras; Olivier Poch
Journal:  Nucleic Acids Res       Date:  2002-12-15       Impact factor: 16.971

Review 9.  'Conserved hypothetical' proteins: prioritization of targets for experimental study.

Authors:  Michael Y Galperin; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2004-10-12       Impact factor: 16.971

10.  Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages.

Authors:  Jason Li; Saman K Halgamuge; Christopher I Kells; Sen-Lin Tang
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.