Interactions among individuals are universal, both in animals and in plants and in natural as well as domestic populations. Understanding the consequences of these interactions for the evolution of populations by either natural or artificial selection requires knowledge of the heritable components underlying them. Here we present statistical methodology to estimate the genetic parameters determining response to multilevel selection of traits affected by interactions among individuals in general populations. We apply these methods to obtain estimates of genetic parameters for survival days in a population of layer chickens with high mortality due to pecking behavior. We find that heritable variation is threefold greater than that obtained from classical analyses, meaning that two-thirds of the full heritable variation is hidden to classical analysis due to social interactions. As a consequence, predicted responses to multilevel selection applied to this population are threefold greater than classical predictions. This work, combined with the quantitative genetic theory for response to multilevel selection presented in an accompanying article in this issue, enables the design of selection programs to effectively reduce competitive interactions in livestock and plants and the prediction of the effects of social interactions on evolution in natural populations undergoing multilevel selection.
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http://dx.doi.org/10.1534/genetics.106.062729 | DOI Listing |
Rheumatology (Oxford)
January 2025
Department of Rheumatology, Rheumazentrum Ruhrgebiet, Herne, Germany.
Objectives: To compare the utility values of Spondyloarthritis (SpA)-specific ASAS Health Index (U-ASAS-HI) to generic utilities and to understand the contribution of health outcomes, personal- and country-level factors to the U-ASAS-HI.
Methods: Ancillary analysis of the ASAS-HI international validation study. SpA patients who completed the ASAS-HI, 5-level EuroQol-5D (EQ-5D-5L) and Short Form-36 (SF-36) questionnaires were selected, and utilities calculated.
Int J Behav Nutr Phys Act
January 2025
MRC Epidemiology Unit, University of Cambridge Level 3 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0SL, UK.
Background: The workplace is an important determinant of health that people are exposed to for the first-time during adolescence or early adulthood. This study investigates how diet, physical activity, and sleep change as people aged 16-30 years transition into work and whether this varies for different individuals and job types.
Methods: Multilevel linear regression models assessed changes in fruit and vegetable intake, sleep duration, and physical activity among 3,302 UK Household Longitudinal Study (UKHLS) participants aged 16-30 years, who started work for the first time between 2015 and 2023.
Int J Mol Sci
January 2025
Key Laboratory of Chemical Biology (Ministry of Education), Department of Medicinal Chemistry, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 West Culture Road, Jinan 250012, China.
With the aim of developing novel anti-SARS-CoV-2 drugs to address the ongoing evolution and emergence of drug-resistant strains, the reported SARS-CoV-2 M inhibitor was selected as a lead to find novel, highly potent, and broad-spectrum inhibitors. Using a fragment-based multilevel virtual screening strategy, 15 hit compounds were identified and subsequently synthesized. Among them, (IC = 1.
View Article and Find Full Text PDFFoods
January 2025
Nature Research Centre, Akademijos str. 2, 08412 Vilnius, Lithuania.
Yeasts produce numerous antimicrobial agents such as killer toxins, volatile organic compounds (VOCs), and other secondary metabolites, establishing themselves in developing natural and sustainable biocontrol strategies for agriculture and food preservation. This study addressed the biocontrol potential of yeasts, isolated from spontaneous fermentations of rosehips ( L.) and rowanberries ( L.
View Article and Find Full Text PDFMol Biol Evol
January 2025
Center for Genomics and Systems Biology, Department of Biology, New York University.
Copy-number variants (CNVs) are an important class of genetic variation that can mediate rapid adaptive evolution. Whereas CNVs can increase the relative fitness of the organism, they can also incur a cost due to the associated increased gene expression and repetitive DNA. We previously evolved populations of Saccharomyces cerevisiae over hundreds of generations in glutamine-limited (Gln-) chemostats and observed the recurrent evolution of CNVs at the GAP1 locus.
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