TY - JOUR
T1 - Gene loss rate
T2 - A probabilistic measure for the conservation of eukaryotic genes
AU - Borenstein, Elhanan
AU - Shlomi, Tomer
AU - Ruppin, Eytan
AU - Sharan, Roded
N1 - Funding Information:
We thank Alon Keinan for critical reading of the manuscript. We thank Yuri I. Wolf from the Koonin Evolutionary Genomics Research Group for providing us with the original PGL calculated values. E.B. is supported by the Yeshaya Horowitz Association through the Center for Complexity Science. T.S. is supported by the Tauber Fund. E.R.’s research is supported by the Tauber Fund, the Center for Complexity Science, and the Israeli Science Foundation (ISF). R.S. was supported by an Eshkol Fellowship and by a Sackler Career Development Chair. Funding to pay the Open Access publication charges for this article was provided by School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University.
PY - 2007/1
Y1 - 2007/1
N2 - The rate of conservation of a gene in evolution is believed to be correlated with its biological importance. Recent studies have devised various conservation 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 essentiality and its number of protein-protein interactions (PPIs). The observed correlation between conservation 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 probabilistic 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.
AB - The rate of conservation of a gene in evolution is believed to be correlated with its biological importance. Recent studies have devised various conservation 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 essentiality and its number of protein-protein interactions (PPIs). The observed correlation between conservation 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 probabilistic 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.
UR - http://www.scopus.com/inward/record.url?scp=33846685946&partnerID=8YFLogxK
U2 - 10.1093/nar/gkl792
DO - 10.1093/nar/gkl792
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AN - SCOPUS:33846685946
SN - 0305-1048
VL - 35
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - 1
M1 - e7
ER -