Evidence map›Paper›PMID 22434848›Full record

ArticlemBio2012

Genotype-phenotype associations in a nonmodel prokaryote.

Mark Enstrom, Kiara Held, Beth Ramage, Mitchell Brittnacher, Larry Gallagher, Colin Manoil

Abstract read
In one paragraph

Article in mBio, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genetic Determinants of Antibiotic Resistance inFrontiers in microbiology · 2021
    Review
  5. Frontiers in cellular and infection microbiology · 2020
    Article
  6. Differential Substrate Usage and Metabolic Fluxes inFrontiers in cellular and infection microbiology · 2017
    Article
  7. Importance of Metabolic Adaptations inFrontiers in cellular and infection microbiology · 2017
    Review
  8. Article
  9. Article
  10. 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

6 authors.

Mark EnstromDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Kiara Held
Beth Ramage
Mitchell Brittnacher
Larry Gallagher
Colin Manoil

Funding

Variation in Human Innate ImmunityU54AI057141 · NIAID · UNIVERSITY OF WASHINGTON · PI COOKSON, BRAD T · 2003 to 2013
$102.3M
NIAID NIH HHS U54 AI057141NIAID NIH HHS U54AI057141
6 · The paper itself

Abstract

unlabelledTo help define the biological functions of nonessential genes of Francisella novicida, we measured the growth of arrayed members of a comprehensive transposon mutant library under a variety of nutrition and stress conditions. Mutant phenotypes were identified for 37% of the genes, corresponding to ten carbon source utilization pathways, nine amino acid- and nucleotide-biosynthetic pathways, ten intrinsic antibiotic resistance traits, and six other stress resistance traits. The greatest surprise of the analysis was the large number of genotype-phenotype relationships that were not predictable from studies of Escherichia coli and other model species. The study identified candidate genes for a missing glycolysis function (phosphofructokinase), an unusual proline-biosynthetic pathway, parallel outer membrane lipid asymmetry maintenance systems, and novel antibiotic resistance functions. The analysis provides an evaluation of annotation predictions, identifies cases in which fundamental processes differ from those in model species, and helps create an empirical foundation for understanding virulence and other complex processes. IMPORTANCE: The value of genome sequences as foundations for analyzing complex traits in nonmodel organisms is limited by the need to rely almost exclusively on sequence similarities to predict gene functions in annotations. Many genes cannot be assigned functions, and some predictions are incorrect or incomplete. Due to these limitations, genome-scale experimental approaches that test and extend bioinformatics-based predictions are sorely needed. In this study, we describe such an approach based on phenotypic analysis of a comprehensive, sequence-defined transposon mutant library.

Indexed as

Genetic Association StudiesMutagenesis, InsertionalCulture MediaDNA Transposable ElementsEscherichia coliFrancisellaGenes, BacterialStress, PhysiologicalCulture MediaDNA Transposable Elements

Identifiers

PMID22434848
PMCPMC3312209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.