Abstract

Background C. elegans is an important model for genetic studies relevant to human biology and disease. We sought to assess the orthology between C. elegans and human genes to understand better the relationship between their genomes and to generate a compelling list of candidates to streamline RNAi-based screens in this model.ResultsWe performed a meta-analysis of results from four orthology prediction programs and generated a compendium, “OrthoList”, containing 7,663 C. elegans protein-coding genes. Various assessments indicate that OrthoList has extensive coverage with low false-positive and false-negative rates. Part of this evaluation examined the conservation of components of the receptor tyrosine kinase, Notch, Wnt, TGF-ß and insulin signaling pathways, and led us to update compendia of conserved C. elegans kinases, nuclear hormone receptors, F-box proteins, and transcription factors. Comparison with two published genome-wide RNAi screens indicated that virtually all of the conserved hits would have been obtained had just the OrthoList set (∼38% of the genome) been targeted. We compiled Ortholist by InterPro domains and Gene Ontology annotation, making it easy to identify C. elegans orthologs of human disease genes for potential functional analysis.ConclusionsWe anticipate that OrthoList will be of considerable utility to C. elegans researchers for streamlining RNAi screens, by focusing on genes with apparent human orthologs, thus reducing screening effort by ∼60%. Moreover, we find that OrthoList provides a useful basis for annotating orthology and reveals more C. elegans orthologs of human genes in various functional groups, such as transcription factors, than previously described.

Highlights

  • C. elegans has been an important model for elucidating conserved pathways and processes relevant to human biology and disease

  • We found that the reciprocally-best hits (RBHs) criterion failed to identify several validated human-C. elegans orthologs

  • We found that OrthoList predicts many more: 195 of the 199 (,98%) transcription factors (TFs) predicted in wTF2.0 to have human orthologs are found in OrthoList, and an additional 182 not annotated by wTF2.0 as having orthologs were found

Read more

Summary

Introduction

C. elegans has been an important model for elucidating conserved pathways and processes relevant to human biology and disease. The prediction of genes that most likely share a function between species generally makes use of evolutionary relationships inferred from sequence analysis. Genes in two species that directly evolved from the same gene in their last common ancestor are more likely to have a conserved function Such genes are called ‘‘orthologs’’ [2] and they are typically identified, using a basic local alignment search tool (BLAST) [3] search, as the reciprocally-best hits (RBHs) in both genomes. We sought to assess the orthology between C. elegans and human genes to understand better the relationship between their genomes and to generate a compelling list of candidates to streamline RNAi-based screens in this model

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call