Evidence map›Paper›PMID 28753661›Full record

ArticlePLoS neglected tropical diseases2017

Amino acid metabolic signaling influences Aedes aegypti midgut microbiome variability.

Sarah M Short, Emmanuel F Mongodin, Hannah J MacLeod, Octavio A C Talyuli, George Dimopoulos

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
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

44 citing papers in PubMed.

  1. Article
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  17. Article
  18. Recovery of metagenomic data from theWellcome open research · 2023
    Article
  19. The buzz in the field: the interaction between viruses, mosquitoes, and metabolism.Frontiers in cellular and infection microbiology · 2023
    Review
  20. Article
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

5 authors.

Sarah M ShortW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Emmanuel F MongodinInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Hannah J MacLeodW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Octavio A C TalyuliW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
George DimopoulosW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0001-6755-8111

Funding

Targeting dengue in the mosquito with small moleculesR01AI101431 · NIAID · JOHNS HOPKINS UNIVERSITY · PI DIMOPOULOS, GEORGE, ENGEL, DANIEL A · 2012 to 2016
$4.3M
Dscam function in innate immunityR01AI081877 · NIAID · JOHNS HOPKINS UNIVERSITY · PI DIMOPOULOS, GEORGE · 2010 to 2014
$1.6M
Analysis of molecular factors influencing variability of mosquito gut microbiotaF32AI112208 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SHORT, SARAH M · 2015 to 2017
$173k
NIAID NIH HHS F32 AI112208NIAID NIH HHS R01 AI081877NIAID NIH HHS R01 AI101431
6 · The paper itself

Abstract

The mosquito midgut microbiota has been shown to influence vector competence for multiple human pathogens. The microbiota is highly variable in the field, and the sources of this variability are not well understood, which limits our ability to understand or predict its effects on pathogen transmission. In this work, we report significant variation in female adult midgut bacterial load between strains of A. aegypti which vary in their susceptibility to dengue virus. Composition of the midgut microbiome was similar overall between the strains, with 81-92% of reads coming from the same five bacterial families, though we did detect differences in the presence of some bacterial families including Flavobacteriaceae and Entobacteriaceae. We conducted transcriptomic analysis on the two mosquito strains that showed the greatest difference in bacterial load, and found that they differ in transcript abundance of many genes implicated in amino acid metabolism, in particular the branched chain amino acid degradation pathway. We then silenced this pathway by targeting multiple genes using RNA interference, which resulted in strain-specific bacterial proliferation, thereby eliminating the difference in midgut bacterial load between the strains. This suggests that the branched chain amino acid (BCAA) degradation pathway controls midgut bacterial load, though the mechanism underlying this remains unclear. Overall, our results indicate that amino acid metabolism can act to influence the midgut microbiota. Moreover, they suggest that genetic or physiological variation in BCAA degradation pathway activity may in part explain midgut microbiota variation in the field.

Indexed as

MicrobiotaAedesAmino AcidsAnimalsBacterial LoadDengueDengue VirusFemaleGastrointestinal TractGenes, InsectHumansInsect VectorsRNA InterferenceSignal TransductionTranscriptomeAmino Acids

Identifiers

PMID28753661
PMCPMC5549995

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Registered trials

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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.