Evidence map›Paper›PMID 24209511›Full record

ArticleBMC evolutionary biology2013

Evolutionary rate patterns of genes involved in the Drosophila Toll and Imd signaling pathway.

Ming Han, Sheng Qin, Xiaojun Song, Yafang Li, Ping Jin, Liming Chen, Fei Ma

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Innate Immune Response ofInternational journal of molecular sciences · 2023
    Article
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  12. Review
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  15. Article
  16. Evolutionary genetics of insect innate immunity.Briefings in functional genomics · 2015
    Review
  17. Rapid molecular evolution across amniotes of the IIS/TOR network.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ming Han
Sheng Qin
Xiaojun Song
Yafang Li
Ping Jin
Liming Chen
Fei MaLaboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210023, P, R China. mafei01@tsinghua.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 published literature, we identified 50 genes that are directly involved in the Drosophila Toll and Imd signaling pathways. Of those genes, only two (Sphinx1 and Dnr1) exhibited signals of positive selection. There existed a negative correlation between the strength of purifying selection and gene position within the pathway; the downstream genes were more conserved, indicating that they were subjected to stronger evolutionary constraints. Interestingly, there was also a significantly negative correlation between the rate of protein evolution and the number of regulatory microRNAs, implying that genes regulated by more miRNAs experience stronger functional constraints and therefore evolve more slowly.

conclusionTaken together, our results suggested that both network architecture and miRNA regulation affect protein sequence evolution. These findings improve our understanding of the evolutionary patterns of genes involved in Drosophila innate immune pathways.

Indexed as

Evolution, MolecularSignal TransductionAnimalsDrosophilaDrosophila ProteinsImmunity, InnateMultivariate AnalysisSelection, GeneticToll-Like ReceptorsDrosophila Proteinsimd protein, DrosophilaTl protein, DrosophilaToll-Like Receptors

Identifiers

PMID24209511
PMCPMC3826850

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.