ArticleGenome biology and evolution2011
Expression level drives the pattern of selective constraints along the insulin/Tor signal transduction pathway in Caenorhabditis.
Article in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Transcription Factors Evolve Faster Than Their Structural Gene Targets in the Flavonoid Pigment Pathway.Molecular biology and evolution · 2022Article
- Distinct Expression and Methylation Patterns for Genes with Different Fates following a Single Whole-Genome Duplication in Flowering Plants.Molecular biology and evolution · 2020Article
- Gene expression predictions and networks in natural populations supports the omnigenic theory.BMC genomics · 2020Article
- Evolutionary patterns of Toll-like receptor signaling pathway genes in the Suidae.BMC evolutionary biology · 2016Article
- Rapid molecular evolution across amniotes of the IIS/TOR network.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Genome-wide analysis reveals diverged patterns of codon bias, gene expression, and rates of sequence evolution in picea gene families.Genome biology and evolution · 2015Article
- Differential regulation of antagonistic pleiotropy in synthetic and natural populations suggests its role in adaptation.G3 (Bethesda, Md.) · 2015Article
- A recent global selective sweep on the age-1 phosphatidylinositol 3-OH kinase regulator of the insulin-like signaling pathway within Caenorhabditis remanei.G3 (Bethesda, Md.) · 2014Article
- Differential evolutionary constraints in the evolution of chemoreceptors: a murine and human case study.TheScientificWorldJournal · 2014Article
- Pleiotropic constraints, expression level, and the evolution of miRNA sequences.Journal of molecular evolution · 2013Article
- Evolutionary rate patterns of genes involved in the Drosophila Toll and Imd signaling pathway.BMC evolutionary biology · 2013Article
- Comment on "The Molecular Evolutionary Patterns of the Insulin/FOXO Signaling Pathway".Evolutionary bioinformatics online · 2013Article
- Adaptive evolution: evaluating empirical support for theoretical predictions.Nature reviews. Genetics · 2012Review
- The relationship between the hierarchical position of proteins in the human signal transduction network and their rate of evolution.BMC evolutionary biology · 2012Article
- The evolution and origin of animal Toll-like receptor signaling pathway revealed by network-level molecular evolutionary analyses.PloS one · 2012Article
- MicroRNA sequence variation potentially contributes to within-species functional divergence in the nematode Caenorhabditis briggsae.Genetics · 2011Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Genes do not act in isolation but perform their biological functions within genetic pathways that are connected in larger networks. Investigation of nucleotide variation within genetic pathways and networks has shown that topology can affect the rate of protein evolution; however, it remains unclear whether a same pattern of nucleotide variation is expected within functionally similar networks and whether it may be due to similar or different biological mechanisms. We address these questions by investigating nucleotide variation in the context of the structure of the insulin/Tor-signaling pathway in Caenorhabditis, which is well characterized and is functionally conserved across phylogeny. In Drosophila and vertebrates, the rate of protein evolution is negatively correlated with the position of a gene within the insulin/Tor pathway. Similarly, we find that in Caenorhabditis, the rate of amino acid replacement is lower for downstream genes. However, in Caenorhabditis, the rate of synonymous substitution is also strongly affected by the position of a gene in the pathway, and we show that the distribution of selective pressure along the pathway is driven by differential expression level. A full understanding of the effect of pathway structure on selective constraints is therefore likely to require inclusion of specific biological function into more general network models.
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