2013
DOI: 10.1186/1471-2148-13-245
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Evolutionary rate patterns of genes involved in the Drosophila Toll and Imd signaling pathway

Abstract: BackgroundTo survive in a hostile environment, insects have evolved an innate immune system to defend against infection. Studies have shown that natural selection may drive the evolution of immune system-related proteins. Yet, how network architecture influences protein sequence evolution remains unclear. Here, we analyzed the molecular evolutionary patterns of genes in the Toll and Imd innate immune signaling pathways across six Drosophila genomes within the context of a functional network.ResultsBased on pub… Show more

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Cited by 26 publications
(30 citation statements)
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References 67 publications
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“…28 and supply further support that extracellular components are among the fastest evolving genes in the IIS/TOR network (22), as is likely true in other networks. Overall, our data are in agreement with reports that receptors and other extracellular components of signal transduction pathways appear to be under less purifying selection than intracellular components (51)(52)(53). Indeed, our data indicate that one potential driver of differences in evolutionary rates among genes in the network may be the number of interactions that a gene has with other genes or proteins (i.e., connectivity; SI Results) similar to what has been seen in other systems (54-56, but see refs.…”
Section: Members Of Iis/tor Network Are Outliers In Evolutionary Ratesupporting
confidence: 83%
“…28 and supply further support that extracellular components are among the fastest evolving genes in the IIS/TOR network (22), as is likely true in other networks. Overall, our data are in agreement with reports that receptors and other extracellular components of signal transduction pathways appear to be under less purifying selection than intracellular components (51)(52)(53). Indeed, our data indicate that one potential driver of differences in evolutionary rates among genes in the network may be the number of interactions that a gene has with other genes or proteins (i.e., connectivity; SI Results) similar to what has been seen in other systems (54-56, but see refs.…”
Section: Members Of Iis/tor Network Are Outliers In Evolutionary Ratesupporting
confidence: 83%
“…Finally, it is well-known that immune related genes evolve faster than non-immune genes due to constant evolutionarily pressures on hosts to neutralize pathogen novelties. Interestingly, when analysing 50 genes involved in the Drosophila Toll and Imd signalling pathways, Han et al realized a strong negative correlation between the rate of evolution of the immune proteins and the number of their regulatory miRNAs, suggesting that genes regulated by more miRNAs evolve slower due to stronger functional constraints (Han et al, 2013). This suggests the role of miRNAs in the evolution of immune related genes in insects.…”
Section: Role Of Mirnas In Regulation Of Insect Immunitymentioning
confidence: 99%
“…Thus, one possible explanation is that the more downstream components may be under stronger purifying selection because of this dual function in the OXPHOS pathway. As inferred here, several other studies conducted on various biological pathways have also reported a negative correlation between selective constraints and gene position within a pathway, such as the yeast HOG signal transduction pathway (Wu et al ., ), the primate N‐glycosylation metabolic pathway (Montanucci et al ., ), the vertebrate insulin and TOR signal transduction pathway (Alvarez‐Ponce et al ., ), the Drosophila Toll and Imd signalling pathways (Han et al ., ) and the plant isoprene biosynthetic pathway (Sharkey et al ., ). Furthermore, in the Suidae Toll‐like receptor (TLR) signalling pathway, downstream genes also evolved under higher levels of selective constraint than did upstream genes (Darfour‐Oduro et al ., ).…”
Section: Discussionmentioning
confidence: 99%
“…In other cases, genes occupying central positions tended to be more constrained than peripheral genes (Lavagnino et al ., ; Invergo et al ., ). Additionally, network parameters including protein length (Darfour‐Oduro et al ., ), the number of PPIs (Lemos et al ., ), codon bias (Montanucci et al ., ), microRNAs (miRNAs) (Han et al ., ) and the length of the 3â€Č‐untranslated region (Darfour‐Oduro et al ., ) were also found to affect the evolutionary rate of genes within gene pathways and networks.…”
Section: Introductionmentioning
confidence: 99%