Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes
Author(s) -
Elhanan Borenstein,
Tomer Shlomi,
Eytan Ruppin,
Roded Sharan
Publication year - 2006
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkl792
Subject(s) - biology , gene , genetics , measure (data warehouse) , computational biology , data mining , computer science
The rate of conservation of a gene in evolution is believed to be correlated with its biological impor- tance. Recent studies have devised various conser- vation measures for genes and have shown that they are correlated with several biological characteristics of functional importance. Specifically, the state-of- the-art propensity for gene loss (PGL) measure was shown to be strongly correlated with gene essential- ity and its number of protein-protein interactions (PPIs). The observed correlation between conser- vation and functional importance varies however between conservation measures, underscoring the need for accurate and general measures for the rate of gene conservation. Here we develop a novel maximum-likelihood approach to computing the rate in which a gene is lost in evolution, motivated by the same principles as those underlying PGL. However, in difference to PGL which considers only the most parsimonious ancestral states of the internal nodes of the phylogenetic tree relating the species, our approach weighs in a probabilistic manner all possible ancestral states, and includes the branch length information as part of the proba- bilistic model. In application to data of 16 eukaryotic genomes, our approach shows higher correlations with experimental data than PGL, including data on gene lethality, level of connectivity in a PPI network and coherence within functionally related genes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom