Evidence map›Paper›PMID 38766025›Full record

ArticlebioRxiv : the preprint server for biology2024

Environment by environment interactions (ExE) differ across genetic backgrounds (ExExG).

Kara Schmidlin, C Brandon Ogbunugafor, Sastokas Alexander, Kerry Geiler-Samerotte

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kara SchmidlinBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ, 85287.ORCID 0000-0001-6892-0928
C Brandon OgbunugaforDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT,06511.ORCID 0000-0002-1581-8345
Sastokas AlexanderBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ, 85287.
Kerry Geiler-SamerotteBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ, 85287.ORCID 0000-0003-4666-2192

Funding

A quantitative examination of cellular mechanisms that modulate the impacts of genetic variation - Renewal - 1R35GM133674 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Kerry A Geiler-Samerotte · 2019 to 2026
$2.8M
NIGMS NIH HHS R35 GM133674
6 · The paper itself

Abstract

While the terms "gene-by-gene interaction" (GxG) and "gene-by-environment interaction" (GxE) are widely recognized in the fields of quantitative and evolutionary genetics, "environment-byenvironment interaction" (ExE) is a term used less often. In this study, we find that environmentby-environment interactions are a meaningful driver of phenotypes, and moreover, that they differ across different genotypes (suggestive of ExExG). To support this conclusion, we analyzed a large dataset of roughly 1,000 mutant yeast strains with varying degrees of resistance to different antifungal drugs. Our findings reveal that the effectiveness of a drug combination, relative to single drugs, often differs across drug resistant mutants. Remarkably, even mutants that differ by only a single nucleotide change can have dramatically different drug × drug (ExE) interactions. We also introduce a new framework that more accurately predicts the direction and magnitude of ExE interactions for some mutants. Understanding how ExE interactions change across genotypes (ExExG) is crucial not only for modeling the evolution of pathogenic microbes, but also for enhancing our knowledge of the underlying cell biology and the sources of phenotypic variance within populations. While the significance of ExExG interactions has been overlooked in evolutionary and population genetics, these fields and others stand to benefit from understanding how these interactions shape the complex behavior of living systems.

Identifiers

PMID38766025
PMCPMC11100745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.