Evidence map›Paper›PMID 37991493›Full record

ArticleeLife2023

Linking genotypic and phenotypic changes in the

John S Favate, Kyle S Skalenko, Eric Chiles, Xiaoyang Su, Srujana Samhita Yadavalli, Premal Shah

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Genomic and metabolic characterization ofApplied and environmental microbiology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 3 countries.

John S FavateDepartment of Genetics, Rutgers University, Piscataway, United States.ORCID 0000-0001-6344-4854
Kyle S SkalenkoDepartment of Genetics, Rutgers University, Piscataway, United States.
Eric ChilesCancer Institute of New Jersey, New Brunswick, United States.
Xiaoyang SuCancer Institute of New Jersey, New Brunswick, United States.
Srujana Samhita YadavalliDepartment of Genetics, Rutgers University, Piscataway, United States.
Premal ShahDepartment of Genetics, Rutgers University, Piscataway, United States.ORCID 0000-0002-8424-4218
Rutgers, The State University of New Jersey · USCancer Institute of Florida · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Small Proteins and Epitranscriptomic Factors: Emerging Mechanisms in Bacterial Gene RegulationR35GM147566 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Srujana Samhita Yadavalli · 2022 to 2026
$2.0M
Dynamics and evolution of translational regulationR35GM124976 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SHAH, PREMAL R · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA072720NIGMS NIH HHS R35 GM124976NIGMS NIH HHS R35 GM147566NIH HHS CCSG P30CA072720-5923NIH HHS R35 GM124976NIH HHS R35 GM147566
6 · The paper itself

Abstract

Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the long-term evolution experiment (LTEE) with

Indexed as

Adaptation, PhysiologicalEscherichia coliEvolution, MolecularGenotypeMutationPhenotypeadaptationbacteriaE. colievolutionary biologyLTEEmetabolomics

Identifiers

PMID37991493
PMCPMC10665018
OpenAlexW4365146712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.