In experimental evolution, scientists evolve organisms in the lab, typically by challenging them to new environmental conditions. How best to evolve a desired trait? Should the challenge be applied abruptly, gradually, periodically, sporadically? Should one apply chemical mutagenesis, and do strains with high innate mutation rate evolve faster? What are ideal population sizes of evolving populations? There are endless strategies, beyond those that can be exposed by individual labs. We therefore arranged a community challenge, Evolthon, in which students and scientists from different labs were asked to evolve Escherichia coli or Saccharomyces cerevisiae for an abiotic stress-low temperature. About 30 participants from around the world explored diverse environmental and genetic regimes of evolution. After a period of evolution in each lab, all strains of each species were competed with one another. In yeast, the most successful strategies were those that used mating, underscoring the importance of sex in evolution. In bacteria, the fittest strain used a strategy based on exploration of different mutation rates. Different strategies displayed variable levels of performance and stability across additional challenges and conditions. This study therefore uncovers principles of effective experimental evolutionary regimens and might prove useful also for biotechnological developments of new strains and for understanding natural strategies in evolutionary arms races between species. Evolthon constitutes a model for community-based scientific exploration that encourages creativity and cooperation.
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http://dx.doi.org/10.1371/journal.pbio.3000182 | DOI Listing |
J Environ Manage
December 2024
School of Business Administration, Chongqing Vocational College of Light Industry, Chongqing, 400065, China. Electronic address:
Green technology innovation (GTI) breaks the vicious cycle of "economic development-environmental pollution," mitigating the supply chain carbon emissions. Previous research focused on exploring supply chain GTI decision-making in the discrete strategy space and ignored the effect of stochastic factors. This paper, grounded in the classical evolutionary game theory, explores the interaction mechanism of supply chain GTI decision-making between suppliers and manufacturers under stochastic interferences and in the continuous strategy space.
View Article and Find Full Text PDFLiver Transpl
October 2024
Department of Internal Medicine, Mayo Clinic, Rochester MN.
Malignancy has a crucial impact on long-term survival after liver transplantation. There has been enhanced early detection rates with refined cancer screening and improved prognosis for many cancer diagnoses in the general population with the advent of targetted anti-cancer therapies. Similar advancements have not occurred in the transplant population over this same timeframe.
View Article and Find Full Text PDFCurr Rev Musculoskelet Med
December 2024
Department of Orthopaedics, The Ohio State University Wexner Medical Center, 2835 Fred Taylor Dr. Suite 2200, Columbus, OH, 43202, USA.
Purpose Of Review: The management of horizontal cleavage meniscus tears (HCT) has evolved in recent years. Historically, HCTs have been treated with partial meniscectomy, but multiple studies have shown the long-term risks of development of arthritic changes in the knee following meniscectomy. These findings have renewed interest in meniscal preservation whenever possible, even in older patients not previously considered for meniscus repair.
View Article and Find Full Text PDFJ Int AIDS Soc
January 2025
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
Introduction: WHO's Integrated Care for Older People (ICOPE) proposes we measure the functional construct of intrinsic capacity (IC) to monitor and identify individuals with age-associated vulnerabilities. Assessments of IC may be useful to address the evolving, non-HV care needs of ageing people with HIV (PWH). However, to date, its utility within the context of HIV has not been assessed.
View Article and Find Full Text PDFGenome Biol Evol
December 2024
Department of Biological Sciences, Dartmouth College, Hanover NH, USA.
Evolutionary events leading to organismal preference for a specific growth temperature, as well as genes whose products are needed for a proper function at that temperature, are poorly understood. Using 64 bacteria from phylum Thermotogota as a model system, we examined how optimal growth temperature changed throughout Thermotogota history. We inferred that Thermotogota's last common ancestor was a thermophile and that some Thermotogota evolved the mesophilic and hyperthermophilic lifestyles secondarily.
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