Genome-scale metabolic models and machine learning reveal genetic determinants of antibiotic resistance in Escherichia coli and unravel the underlying metabolic …

N Pearcy, Y Hu, M Baker, A Maciel-Guerra, N Xue… - Msystems, 2021 - Am Soc Microbiol
Antimicrobial resistance (AMR) is becoming one of the largest threats to public health
worldwide, with the opportunistic pathogen Escherichia coli playing a major role in the AMR …

Reflections on the predictability of evolution: toward a conceptual framework

A Mas, Y Lagadeuc, P Vandenkoornhuyse - Iscience, 2020 - cell.com
Evolution is generally considered to be unpredictable because genetic variations are known
to occur randomly. However, remarkable patterns of repeated convergent evolution are …

[HTML][HTML] Laboratory evolution reveals general and specific tolerance mechanisms for commodity chemicals

RM Lennen, HG Lim, K Jensen, ET Mohammed… - Metabolic …, 2023 - Elsevier
Although strain tolerance to high product concentrations is a barrier to the economically
viable biomanufacturing of industrial chemicals, chemical tolerance mechanisms are often …

Repeatability and predictability in experimental evolution

PA Lind - Evolution, origin of life, concepts and methods, 2019 - Springer
Independent populations often use the same phenotypic and genetic solutions to adapt to a
selective challenge, suggesting that evolution is surprisingly repeatable. This observation …

Transcriptional potential determines the adaptability of Escherichia coli strains with different fitness backgrounds

K Kim, SK Kwon, P Kim, JF Kim - Microbiology spectrum, 2022 - Am Soc Microbiol
Adaptation through the fitness landscape may be influenced by the gene pool or expression
network. However, genetic factors that determine the contribution of beneficial mutations …