Most phenotypic traits are controlled by many genes, but a global picture of the genotype-phenotype map (GPM) is lacking. For example, in no species do we know generally how many genes affect a trait and how large these effects are. It is also unclear to what extent GPMs are shaped by natural selection. Here we address these fundamental questions using the reverse genetic data of 220 morphological traits in 4,718 budding yeast strains, each of which lacks a nonessential gene. We show that 1) the proportion of genes affecting a trait varies from <1% to >30%, averaging 6%, 2) most traits are impacted by many more small-effect genes than large-effect genes, and 3) the mean effect of all nonessential genes on a trait decreases precipitously as the estimated importance of the trait to fitness increases. An analysis of 3,116 yeast gene expression traits in 754 gene-deletion strains reveals a similar pattern. These findings illustrate the power of genome-wide reverse genetics in genotype-phenotype mapping, uncover an enormous range of genetic complexity of phenotypic traits, and suggest that the GPM of cellular organisms has been shaped by natural selection for mutational robustness.
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http://dx.doi.org/10.1093/molbev/msu131 | DOI Listing |
Eur J Pharmacol
January 2025
Department of Pharmacodynamics, Medical University of Bialystok, Mickiewicza 2C, 15-222 Białystok, Poland. Electronic address:
The variability in translational models profoundly impacts the outcomes and predictive value of preclinical studies for gastrointestinal (GI) cancer treatments. Preclinical models, including 2D cell cultures, 3D organoids, patient-derived xenografts (PDXs), and animal models, provide distinct advantages and limitations in replicating the complex tumor microenvironment (TME) of human cancers. Each model's unique biological and structural differences contribute to discrepancies in treatment responses, challenging the direct translation of experimental results to clinical settings.
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January 2025
Director, ICAR-Indian Institute of Wheat and Barley Research, Karnal 132001, Haryana, India.
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View Article and Find Full Text PDFComput Biol Med
January 2025
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China. Electronic address:
Breast cancer poses a significant health threat worldwide. Contrastive learning has emerged as an effective method to extract critical lesion features from mammograms, thereby offering a potent tool for breast cancer screening and analysis. A crucial aspect of contrastive learning is negative sampling, where the selection of hard negative samples is essential for driving representations to retain detailed lesion information.
View Article and Find Full Text PDFSci Rep
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Harbin Normal University, Harbin, 150025, China.
The health status of aerospace equipment directly affects the operational capability of the entire system. Belief rule base (BRB) is an effective method for assessing health status that combines expert knowledge and historical data. However, in the actual assessment, the data provided by experts only form the basic framework of the model.
View Article and Find Full Text PDFPlant Dis
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The University of Melbourne, Faculty of Science, School of Agriculture, Food and Ecosystem Sciences, Parkville, Victoria, Australia;
In Australia, pyrethrum (Tanacetum cinerariifolium) cultivation provides a significant portion of the global supply of natural insecticidal pyrethrins. However, crown and root rots, along with stunted plant growth and plant loss during winter, are significant issues affecting certain sites. Several isolates of the Fusarium oxysporum species complex (FOSC) have been identified as causal agents of crown and root rot in pyrethrum, highlighting these as key pathogens contributing to this decline.
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