Evidence map›Paper›PMID 22983030›Full record

ReviewThe Biological bulletin2012

Making the most of "omics" for symbiosis research.

J Chaston, A E Douglas

Abstract readReview
In one paragraph

Review in The Biological bulletin, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. UnveilingFrontiers in cellular and infection microbiology · 2025
    Article
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  3. Review
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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

2 authors at 1 institution in 1 country.

J ChastonDepartment of Entomology, Comstock Hall, Cornell University, Ithaca, New York 14853, USA.
A E Douglas
Cornell University · US

Funding

The protein nutrition of the symbiotic system between /Drosophila/and its gut micR01GM095372 · NIGMS · CORNELL UNIVERSITY · PI SEARLE, ANGELA E · 2011 to 2019
$2.8M
NIGMS NIH HHS 1R01GM095372-01NIGMS NIH HHS R01 GM095372
6 · The paper itself

Abstract

Omics, including genomics, proteomics, and metabolomics, enable us to explain symbioses in terms of the underlying molecules and their interactions. The central task is to transform molecular catalogs of genes, metabolites, etc., into a dynamic understanding of symbiosis function. We review four exemplars of omics studies that achieve this goal, through defined biological questions relating to metabolic integration and regulation of animal-microbial symbioses, the genetic autonomy of bacterial symbionts, and symbiotic protection of animal hosts from pathogens. As omic datasets become increasingly complex, computationally sophisticated downstream analyses are essential to reveal interactions not evident from visual inspection of the data. We discuss two approaches, phylogenomics and transcriptional clustering, that can divide the primary output of omics studies-long lists of factors-into manageable subsets, and we describe how they have been applied to analyze large datasets and generate testable hypotheses.

Indexed as

Bacterial Physiological PhenomenaSymbiosisAnimalsBacteriaGenomicsMetabolomicsProteomics

Identifiers

PMID22983030
PMCPMC3491573
OpenAlexW1943912681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.