Antibiotic-mediated microbial community restructuring is dictated by variability in antibiotic-induced lysis rates and population interactions
Year: 2025
Type: article
Abstract: It is widely known that faster-growing bacterial cells are more susceptible to many antibiotics. Given this notion, it appears intuitive that antibiotic treatment would enrich slower-growing cells in a clonal population or slower-growing populations in a microbial community, which has been commonly observed. However, experimental observations also show the enrichment of faster-growing subpopulations under certain conditions. Does this apparent discrepancy suggest the uniqueness about different growth environments or the role of additional confounding factors? If so, what could be the major determinant in antibiotic-mediated community restructuring? Combining modeling and quantitative measurements using a barcoded heterogeneous E. coli library, we show that the outcome of antibiotic-mediated community restructuring can be driven by two major factors. One is the variability among the clonal responses of different subpopulations to the antibiotic; the other is their interactions. Our results suggest the importance of quantitative measurements of antibiotic responses in individual clones in predicting community responses to antibiotics and addressing subpopulation interactions. Antibiotic treatment usually selects for fast-growing bacterial cells, but that is not always the case. Here, Kim et al. show that antibiotic-induced changes in bacterial communities depend on variability in lysis kinetics and inter-population interactions, which can lead to different outcomes.
Source: Nature Communications
Authors: Kyeri Kim, Andrea Weiss, Helena R. Ma, Hye-In Son, Zhengqing Zhou, Lingchong You
Institutions: Duke University, Duke Medical Center
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
OpenAlex ID: W4408241013