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The distribution of allelic effects on traits, along with their gene-by-gene and gene-by-environment interactions, contributes to the phenotypes available for selection and the trajectories of adaptive variants. Nonetheless, uncertainty persists regarding the effect sizes underlying adaptations and the importance of genetic interactions. Herein, we aimed to investigate the genetic architecture and the epistatic and environmental interactions involving loci that contribute to multiple adaptive traits using two new panels of recombinant inbred lines (RILs). To better fit our data, we re-implemented functions from R/qtl (Broman et al. 2003) using additive genetic models. We found 14 quantitative trait loci (QTL) underlying melanism, wing size, song pattern, and ethanol resistance. By combining our mapping results with population genetic statistics, we identified potential new genes related to these traits. None of the detected QTLs showed clear evidence of epistasis, and our power analysis indicated that we should have seen at least one significant interaction if sign epistasis or strong positive epistasis played a pervasive role in trait evolution. In contrast, we did find roles for gene-by-environment interactions involving pigmentation traits. Overall, our data suggest that the genetic architecture of adaptive traits often involves alleles of detectable effect, that strong epistasis does not always play a role in adaptation, and that environmental interactions can modulate the effect size of adaptive alleles.
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http://dx.doi.org/10.1101/2024.05.14.594228 | DOI Listing |
Invest Ophthalmol Vis Sci
September 2025
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry.
Plant Cell Environ
September 2025
State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Bamboo Research Institute, Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, School of Life Sciences, Nanjing Forestry
CRISPR ribonucleoprotein (RNP)-mediated genome editing offers a transgene-free platform for precise genetic modification in diverse herbaceous and tree species, including rice, wheat, apple, poplar, oil palm, rubber tree and grapevine. However, its application in woody plants faces distinct challenges, notably inefficient delivery and regeneration difficulties, particularly in species such as bamboo. While some of these issues also occur in herbaceous plants, they are often significantly more complex in woody species due to factors such as intricate cell wall architecture, widespread recalcitrant genotypes and inherent limitations of current delivery platforms.
View Article and Find Full Text PDFZool Res
September 2025
MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, Shandong 266003, China.
Bivalve mollusks represent a taxonomically and economically significant clade within Mollusca. However, the regulatory mechanisms governing their embryonic development remain poorly characterized. The dwarf surf clam ( ), characterized by a short generation time and high fecundity, has recently gained recognition as an ideal model system for bivalve embryological research.
View Article and Find Full Text PDFVasc Health Risk Manag
September 2025
Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Purpose: Hypertension (HTN) is a complex disorder regulated by multiple physiological systems. Each individual's underlying genetic architecture strongly influences inter-individual variability in therapeutic responses to HTN. Consequently, identifying candidate genes that contribute to the genetic basis of HTN remains a significant challenge.
View Article and Find Full Text PDFBackground: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.
Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).