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Consideration of the properties of the sources of selection potentially helps biologists account for variation in selection. Here we explore how the variability of natural selection is affected by organisms that regulate the experienced environment through their activities (whether by constructing components of their local environments, such as nests, burrows, or pupal cases, or by choosing suitable resources). Specifically, we test the predictions that organism-constructed sources of selection that buffer environmental variation will result in (i) reduced variation in selection gradients, including reduced variation between () years (temporal variation) and () locations (spatial variation), and (ii) weaker directional selection relative to nonconstructed sources. Using compiled data sets of 1,045 temporally replicated selection gradients, 257 spatially replicated selection gradients, and a pooled data set of 1,230 selection gradients, we find compelling evidence for reduced temporal variation and weaker selection in response to constructed compared to nonconstructed sources of selection and some evidence for reduced spatial variation in selection. These findings, which remained robust to alternative data sets, taxa, analytical methods, definitions of constructed/nonconstructed, and other tests of reliability, suggest that organism-manufactured or chosen components of environments may have qualitatively different properties from other environmental features.
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http://dx.doi.org/10.1086/706196 | DOI Listing |
Contact Dermatitis
September 2025
Department of Chemical Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway, Selangor Darul Ehsan, Malaysia.
Extended glove usage is crucial in various occupational settings to safeguard workers and maintain hygiene standards. However, prolonged wear creates an occlusive environment that disrupts normal skin evaporation, leading to temporary overhydration. This reversal of the diffusion gradient facilitates the penetration of residual soaps and alcohol from hand hygiene practices, which can deplete skin moisture and cause irritation.
View Article and Find Full Text PDFPlant Dis
September 2025
Universita degli Studi di Milano, DISAA, Via Celoria 2, Milano, Italy, 20133;
, a hemibiotrophic ascomycete, is the causal agent of apple scab, a major disease affecting apple production worldwide. The widespread use of fungicides in orchard management has led to the selection of resistant strains. To limit the spread of these resistant strains, it is essential to understand their competitive fitness within the population.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Accurate imputation of missing data is crucial in the Industrial Internet-of-Things (IIoT), where operations are often compromised by noisy samples from harsh environments. Traditional imputation methods struggle with such noise due to their black-box nature or lack of adaptability. To address this issue, we recast data imputation as a distribution alignment challenge, utilizing the flexibility of optimal transport (OT) to handle noisy samples.
View Article and Find Full Text PDFEpigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
View Article and Find Full Text PDFMol Nutr Food Res
September 2025
The Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, China Three Gorges University, Yichang, China.
This study investigates the relationship between dietary antioxidants and heart failure (HF) risk using nationally representative National Health and Nutrition Examination Survey data (2005-2018). It aims to identify key dietary antioxidants and develop a machine-learning-based predictive model for HF. Among 9279 participants (434 HF cases), 44 dietary antioxidant variables were extracted from two 24-h dietary recalls.
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