Evidence map›Paper›PMID 18555739›Full record

ReviewCurrent opinion in microbiology2008

Natural selection on the Drosophila antimicrobial immune system.

Brian P Lazzaro

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

59 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
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  4. MicroRNA Targets PAP1 to Mediate Melanization inInternational journal of molecular sciences · 2024
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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

1 author at 1 institution in 1 country.

Brian P LazzaroDepartment of Entomology, Cornell University, Ithaca, NY 14853, USA. bplazzaro@cornell.edu
Cornell University · US

Funding

Functional /Comparative Genomic of Drosophila immunityR01AI064950 · NIAID · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G, LAZZARO, BRIAN · 2005 to 2016
$3.7M
Evolutionary Genomics of Anti-Malaria Genes in MosquitoR01AI062995 · NIAID · CORNELL UNIVERSITY · PI LAZZARO, BRIAN · 2006 to 2010
$1.8M
NIAID NIH HHS R01 AI062995NIAID NIH HHS R01 AI064950
6 · The paper itself

Abstract

The evolutionary dynamics of immune defenses have long attracted interest because of the special role the immune system plays in mediating the antagonistic interaction between hosts and pathogens. The antimicrobial immune system of the fruit fly Drosophila melanogaster is genetically well characterized and serves as a valuable model for studying insect and human innate immune defenses. I review here evolutionary and comparative genomic analyses of insect antimicrobial immune genes, with an emphasis on Drosophila. Core signal transduction pathways in the immune system are orthologously conserved across long evolutionary distances, but genes in these pathways evolve rapidly and adaptively at the amino acid sequence level. By contrast, families of genes encoding antimicrobial peptides are remarkably dynamic in genomic duplication and deletion, yet individual genes show little indication of adaptive sequence evolution. Pattern recognition receptors that trigger humoral immunity are evolutionarily rather static, but receptors required for phagocytosis show considerable genomic rearrangement and adaptive sequence divergence. The distinct evolutionary patterns exhibited by these various classes of immune system genes can be logically connected to the functions of the proteins they encode.

Indexed as

Anti-Bacterial AgentsDrosophila ProteinsEvolution, MolecularHost-Pathogen InteractionsAnimalsBacteriaDrosophila melanogasterGenes, InsectImmunity, InnateAnti-Bacterial AgentsDrosophila Proteins

Identifiers

PMID18555739
PMCPMC2527063
OpenAlexW2110270701

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.