Genome Research

Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
 QUICK SEARCH:   [advanced]


     


Genome Res. 15:1153-1160, 2005
©2005 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/05 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental Research Data
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hahn, M. W.
Right arrow Articles by Cristianini, N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hahn, M. W.
Right arrow Articles by Cristianini, N.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Methods

Estimating the tempo and mode of gene family evolution from comparative genomic data

Matthew W. Hahn1,6,7, Tijl De Bie4,6, Jason E. Stajich5, Chi Nguyen2 and Nello Cristianini3

1 Center for Population Biology, University of California, Davis, California 95616, USA 2 Department of Computer Science, University of California, Davis, California 95616, USA 3 Department of Statistics, University of California, Davis, California 95616, USA 4 ISIS Research Group, University of Southampton, Southampton, SO17 1BJ, United Kingdom 5 Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina 27708, USA

Comparison of whole genomes has revealed that changes in the size of gene families among organisms is quite common. However, there are as yet no models of gene family evolution that make it possible to estimate ancestral states or to infer upon which lineages gene families have contracted or expanded. In addition, large differences in family size have generally been attributed to the effects of natural selection, without a strong statistical basis for these conclusions. Here we use a model of stochastic birth and death for gene family evolution and show that it can be efficiently applied to multispecies genome comparisons. This model takes into account the lengths of branches on phylogenetic trees, as well as duplication and deletion rates, and hence provides expectations for divergence in gene family size among lineages. The model offers both the opportunity to identify large-scale patterns in genome evolution and the ability to make stronger inferences regarding the role of natural selection in gene family expansion or contraction. We apply our method to data from the genomes of five yeast species to show its applicability.


[Supplemental material is available online at www.genome.org.]

Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.3567505.

6 These authors contributed equally to this work.

7 Corresponding author.
E-mail mwh{at}Indiana.edu; fax (812) 855-6705.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Mol Biol EvolHome page
R. Zhang, Y.-Q. Wang, and B. Su
Molecular Evolution of a Primate-Specific microRNA Family
Mol. Biol. Evol., July 1, 2008; 25(7): 1493 - 1502.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
T. Matsuo
Rapid Evolution of Two Odorant-Binding Protein Genes, Obp57d and Obp57e, in the Drosophila melanogaster Species Group
Genetics, February 1, 2008; 178(2): 1061 - 1072.
[Abstract] [Full Text] [PDF]


Home page
Mol Biol EvolHome page
A. M. Andres, C. de Hemptinne, and J. Bertranpetit
Heterogeneous Rate of Protein Evolution in Serotonin Genes
Mol. Biol. Evol., December 1, 2007; 24(12): 2707 - 2715.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
C. S. McBride, J. R. Arguello, and B. C. O'Meara
Five Drosophila Genomes Reveal Nonneutral Evolution and the Signature of Host Specialization in the Chemoreceptor Superfamily
Genetics, November 1, 2007; 177(3): 1395 - 1416.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
W. Y. Low, H. L. Ng, C. J. Morton, M. W. Parker, P. Batterham, and C. Robin
Molecular Evolution of Glutathione S-Transferases in the Genus Drosophila
Genetics, November 1, 2007; 177(3): 1363 - 1375.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
M. W. Hahn, J. P. Demuth, and S.-G. Han
Accelerated Rate of Gene Gain and Loss in Primates
Genetics, November 1, 2007; 177(3): 1941 - 1949.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
W. Iwasaki and T. Takagi
Reconstruction of highly heterogeneous gene-content evolution across the three domains of life
Bioinformatics, July 1, 2007; 23(13): i230 - i239.
[Abstract] [Full Text] [PDF]


Home page
ScienceHome page
Rhesus Macaque Genome Sequencing and Analysis Cons, R. A. Gibbs, J. Rogers, M. G. Katze, R. Bumgarner, G. M. Weinstock, E. R. Mardis, K. A. Remington, R. L. Strausberg, J. C. Venter, et al.
Evolutionary and Biomedical Insights from the Rhesus Macaque Genome
Science, April 13, 2007; 316(5822): 222 - 234.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
E. Borenstein, T. Shlomi, E. Ruppin, and R. Sharan
Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes
Nucleic Acids Res., January 12, 2007; 35(1): e7 - e7.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
T. De Bie, N. Cristianini, J. P. Demuth, and M. W. Hahn
CAFE: a computational tool for the study of gene family evolution
Bioinformatics, May 15, 2006; 22(10): 1269 - 1271.
[Abstract] [Full Text] [PDF]




Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
Genes Dev. Learn. Mem.
Protein Science RNA Genome Res.
Copyright © 2005 by Cold Spring Harbor Laboratory Press.