Evolutionary history of bacteriophages with double-stranded DNA genomes

被引:36
作者
Glazko, Galina [1 ,2 ]
Makarenkov, Vladimir [3 ]
Liu, Jing [1 ,4 ]
Mushegian, Arcady [1 ,5 ]
机构
[1] Stowers Inst Med Res, Kansas City, MO 64110 USA
[2] Univ Rochester, Med Ctr, Dept Biostat & Computat Biol, Rochester, NY 14642 USA
[3] Univ Quebec, Dept Informat, Montreal, PQ H3C 3P8, Canada
[4] Univ Kansas, Med Ctr, Interdisciplinary Grad Program Biomed Sci, Kansas City, KS 66160 USA
[5] Univ Kansas, Med Ctr, Dept Microbiol Mol Genet & Immunol, Kansas City, KS 66160 USA
关键词
D O I
10.1186/1745-6150-2-36
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Reconstruction of evolutionary history of bacteriophages is a difficult problem because of fast sequence drift and lack of omnipresent genes in phage genomes. Moreover, losses and recombinational exchanges of genes are so pervasive in phages that the plausibility of phylogenetic inference in phage kingdom has been questioned. Results: We compiled the profiles of presence and absence of 803 orthologous genes in 158 completely sequenced phages with double-stranded DNA genomes and used these gene content vectors to infer the evolutionary history of phages. There were 18 well-supported clades, mostly corresponding to accepted genera, but in some cases appearing to define new taxonomic groups. Conflicts between this phylogeny and trees constructed from sequence alignments of phage proteins were exploited to infer 294 specific acts of intergenome gene transfer. Conclusion: A notoriously reticulate evolutionary history of fast-evolving phages can be reconstructed in considerable detail by quantitative comparative genomics. Open peer review: This article was reviewed by Eugene Koonin, Nicholas Galtier and Martijn Huynen.
引用
收藏
页数:14
相关论文
共 44 条
[1]   Gapped BLAST and PSI-BLAST: a new generation of protein database search programs [J].
Altschul, SF ;
Madden, TL ;
Schaffer, AA ;
Zhang, JH ;
Zhang, Z ;
Miller, W ;
Lipman, DJ .
NUCLEIC ACIDS RESEARCH, 1997, 25 (17) :3389-3402
[2]  
[Anonymous], BIOINFORMATICS
[3]   Heuristic approach to deriving models for gene finding [J].
Besemer, J ;
Borodovsky, M .
NUCLEIC ACIDS RESEARCH, 1999, 27 (19) :3911-3920
[4]   GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions [J].
Besemer, J ;
Lomsadze, A ;
Borodovsky, M .
NUCLEIC ACIDS RESEARCH, 2001, 29 (12) :2607-2618
[5]  
Botstein D, 1980, Ann N Y Acad Sci, V354, P484, DOI 10.1111/j.1749-6632.1980.tb27987.x
[6]   Phage genomics:: Small is beautiful [J].
Brüssow, H ;
Hendrix, RW .
CELL, 2002, 108 (01) :13-16
[7]   Comparative genomics and evolution of the tailed-bacteriophages [J].
Casjens, SR .
CURRENT OPINION IN MICROBIOLOGY, 2005, 8 (04) :451-458
[8]   Multiple sequence alignment with the Clustal series of programs [J].
Chenna, R ;
Sugawara, H ;
Koike, T ;
Lopez, R ;
Gibson, TJ ;
Higgins, DG ;
Thompson, JD .
NUCLEIC ACIDS RESEARCH, 2003, 31 (13) :3497-3500
[9]   Toward automatic reconstruction of a highly resolved tree of life [J].
Ciccarelli, FD ;
Doerks, T ;
von Mering, C ;
Creevey, CJ ;
Snel, B ;
Bork, P .
SCIENCE, 2006, 311 (5765) :1283-1287
[10]   The tree of one percent [J].
Dagan, Tal ;
Martin, William .
GENOME BIOLOGY, 2006, 7 (10)