2026-10-14T04:18:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/30948284 2026-09-23T14:28:45Z category_24256 item_type_3 month_year_09_2026

Data for "Phenotypic robustness in growth performance peaks at mildly cold, not optimal-for-growth, temperatures" Ya-Nan Zhen (15341023) Xiao-Lin Chu (5730263) Quan-Guo Zhang (14800927) Evolutionary ecology experimental evolution rate-limiting trait thermal optimum thermal performance curve <p dir="ltr">Temperature may have opposing effects on phenotypic variability: warmer temperatures may mitigate fitness effects of mutations relating to rate-limiting processes, and may also unmask genetic variation relevant to protein stability. Therefore, relative benign thermal conditions may allow for greater phenotypic robustness. Here we tested this hypothesis and investigated whether temperature maximizing phenotypic robustness coincides with that optimizing growth rate. In our study of experimental evolution lines of two model bacteria (<i>Escherichia coli</i> and <i>Pseudomonas fluorescens</i>), independent genotypes exhibited the lowest variability in maximum growth rate at temperatures colder than optimal-for-growth conditions (approximately 2-13℃ lower). We further analyzed previously published datasets involving diverse taxa and found that among-species phenotypic variability in several vital biological processes also consistently peaked at certain temperatures lower than that optimizing the rates of those processes. These results suggest that the temperature minimizing fitness effects of mutations is lower than that maximize growth performance, which may help understand biological responses to climate warming.</p> 2025-12-25T06:18:12Z Dataset Dataset 10.6084/m9.figshare.30948284.v5 https://figshare.com/articles/dataset/Data_for_Phenotypic_robustness_peaks_at_mildly_cold_not_optimal-for-growth_temperatures_/30948284 CC BY 4.0