Work

Author response: Rafting a waterfall: Artificial selection for collective composition can succeed or fail depending on the initial and target values

Year: 2025

Type: peer-review

Abstract: AssessmentThis important study of artificial selection in microbial communities shows that the possibility of selecting a desired fraction of slow and fast-growing types is impacted by their initial fractions.The evidence, which relies on mathematical analysis and simulations of a stochastic model, is compelling.It highlights the tension between selection at the strain and the community level.This study should be of interest to researchers interested in ecology, both theoretical and experimental.

Source: eLife

DOI: 10.7554/elife.97461.2.sa0

Authors: Juhee Lee, Wenying Shou, Hye Jin Park

Institutions: Inha University, University College London

Language: English

Topic: Evolution and Genetic Dynamics

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,500

Funders: National Research Foundation, Inha University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea