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.
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http://dx.doi.org/10.1101/2024.05.08.593194 | DOI Listing |
Pac Symp Biocomput
December 2024
Department of Genetics, University of Pennsylvania, 3700 Hamilton Walk Philadelphia, PA 19104, USA,
Gene-environment interaction (GxE) studies provide insights into the interplay between genetics and the environment but often overlook multiple environmental factors' synergistic effects. This study encompasses the use of environment by environment interaction (ExE) studies to explore interactions among environmental factors affecting lipid phenotypes (e.g.
View Article and Find Full Text PDFBehav Sci (Basel)
November 2024
DEU Exe-Physio Lab, Department of Physical Education, Dong-Eui University, 176, Eomgwangno, Busanjin-gu, Busan 47340, Republic of Korea.
Currently, amateur tennis events are developing rapidly, and the trust system has become a common rule, integrating considerations of entertainment, fitness, and cost control. However, human-centered trust system rules still face some controversy, and there is limited specialized research on the topic. This study explores amateur tennis players' perceptions of the trust system rules.
View Article and Find Full Text PDFNature
October 2024
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Phys Chem Chem Phys
September 2024
Physics and Chemistry of Materials (T-1), Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Several low-lying electronic states of TaB and WB molecules were studied using multireference configuration interaction (MRCI), Davidson corrected MRCI (MRCI+Q), and coupled cluster singles doubles and perturbative triples [CCSD(T)] methods. Their full potential energy curves (PECs), equilibrium electron configurations, equilibrium bond distances (s), dissociation energies (s), excitation energies (s), harmonic vibrational frequencies (s), and anharmonicities (s) are reported. The MRCI dipole moment curves (DMCs) of the first 5 electronic states of both TaB and WB are also reported and the equilibrium dipole moment () values are compared with the CCSD(T) values.
View Article and Find Full Text PDFbioRxiv
October 2024
Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ, 85287.
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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!