Evidence map›Paper›PMID 30670539›Full record

ArticleGenetics2019

Adaptation Through Lifestyle Switching Sculpts the Fitness Landscape of Evolving Populations: Implications for the Selection of Drug-Resistant Bacteria at Low Drug Pressures.

Nishad Matange, Sushmitha Hegde, Swapnil Bodkhe

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Biophysical principles predict fitness of SARS-CoV-2 variants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Biophysical principles predict fitness of SARS-CoV-2 variants.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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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

3 authors at 1 institution in 1 country.

Nishad MatangeDepartment of Biology, Indian Institute of Science Education and Research, Pune, India nishad@iiserpune.ac.in.ORCID 0000-0002-2947-3931
Sushmitha HegdeDepartment of Biology, Indian Institute of Science Education and Research, Pune, India.ORCID 0000-0003-0777-962X
Swapnil BodkheDepartment of Biology, Indian Institute of Science Education and Research, Pune, India.ORCID 0000-0002-2250-5953
Indian Institute of Science Education and Research Pune · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel genotypes evolve under selection through mutations in pre-existing genes. However, mutations have pleiotropic phenotypic effects that influence the fitness of emerging genotypes in complex ways. The evolution of antimicrobial resistance is mediated by selection of mutations in genes coding for antibiotic-target proteins. Drug-resistance is commonly associated with a fitness cost due to the impact of resistance-conferring mutations on protein function and/or stability. These costs are expected to prohibit the selection of drug-resistant mutations at low drug pressures. Using laboratory evolution of rifampicin resistance in

Indexed as

Adaptation, PhysiologicalEvolution, MolecularGenetic FitnessSelection, GeneticDNA-Directed RNA PolymerasesDrug Resistance, BacterialEpistasis, GeneticEscherichia coliEscherichia coli ProteinsMutationDNA-Directed RNA PolymerasesEscherichia coli ProteinsrpoB protein, E coliantimicrobial resistancefitnesslifestyle adaptationmutationsrifampicinselection

Identifiers

PMID30670539
PMCPMC6404241
OpenAlexW2914097858

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.