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Updated: May 20, 2025

Genetic Screen for Identification of Multicopy Suppressors in Schizosaccharomyces pombe
Published on: September 13, 2022
Resource presentation dictates genetic and phenotypic adaptation in yeast
Neetika Ahlawat1, Anjali Mahilkar2,3, Supreet Saini2
1Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, 400 076, India. neetika.ahlawat@gmail.com.
Subtle environmental changes significantly impact population adaptation, leading to distinct phenotypic and genetic responses in Saccharomyces cerevisiae. Ancestor fitness can predict pleiotropic effects, underscoring the need for more research on environmental influences.
Area of Science:
- Evolutionary Biology
- Microbial Ecology
- Genetics
Background:
- Environmental conditions drive population adaptation, potentially causing parallelism or divergence.
- The impact of minor environmental shifts on adaptive trajectories is not well understood.
Purpose of the Study:
- To investigate how subtle environmental variations influence phenotypic and genetic adaptation in Saccharomyces cerevisiae.
- To determine if pleiotropic effects of adaptation are predictable and if genomic targets are convergent.
Main Methods:
- Evolving Saccharomyces cerevisiae populations in two distinct but 'synonymous' environments differing in sugar source presentation (glucose-galactose mixture vs. melibiose).
- Analyzing phenotypic and genomic responses to adaptation in each environment.
Main Results:
- Even minor environmental differences led to divergent phenotypic responses between yeast populations.
- Pleiotropic effects of adaptation were largely predictable despite differing adaptive pathways.
- Distinct genomic targets of adaptation were found to be functionally convergent.
Conclusions:
- Subtle environmental variations critically shape phenotypic and genetic adaptation in populations.
- Ancestor's fitness may predict pleiotropic responses, aiding in understanding adaptive outcomes.
- Further studies on diverse environments are crucial to generalize adaptive response patterns.
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