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CladeOScope: functional interactions through the prism of clade-wise co-evolution
- Source :
- NAR Genomics and Bioinformatics
- Publication Year :
- 2020
-
Abstract
- Mapping co-evolved genes via phylogenetic profiling (PP) is a powerful approach to uncover functional interactions between genes and to associate them with pathways. Despite many successful endeavors, the understanding of co-evolutionary signals in eukaryotes remains partial. Our hypothesis is that ‘Clades’, branches of the tree of life (e.g. primates and mammals), encompass signals that cannot be detected by PP using all eukaryotes. As such, integrating information from different clades should reveal local co-evolution signals and improve function prediction. Accordingly, we analyzed 1028 genomes in 66 clades and demonstrated that the co-evolutionary signal was scattered across clades. We showed that functionally related genes are frequently co-evolved in only parts of the eukaryotic tree and that clades are complementary in detecting functional interactions within pathways. We examined the non-homologous end joining pathway and the UFM1 ubiquitin-like protein pathway and showed that both demonstrated distinguished co-evolution patterns in specific clades. Our research offers a different way to look at co-evolution across eukaryotes and points to the importance of modular co-evolution analysis. We developed the ‘CladeOScope’ PP method to integrate information from 16 clades across over 1000 eukaryotic genomes and is accessible via an easy to use web server at http://cladeoscope.cs.huji.ac.il.
- Subjects :
- AcademicSubjects/SCI01140
0303 health sciences
AcademicSubjects/SCI01060
AcademicSubjects/SCI00030
Tree of life
Standard Article
Biology
AcademicSubjects/SCI01180
Genome
03 medical and health sciences
0302 clinical medicine
Evolutionary biology
Phylogenetic profiling
AcademicSubjects/SCI00980
Clade
Gene
030217 neurology & neurosurgery
Function (biology)
030304 developmental biology
Subjects
Details
- ISSN :
- 26319268
- Volume :
- 3
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- NAR genomics and bioinformatics
- Accession number :
- edsair.doi.dedup.....4c360dd9af7e883cff0cc68d59320830