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Copy Number Variants (CNVs) are structural variants affecting genetic diversity and phenotypic variability of populations. Different authors underlined the relevance of CNV in relation to the adaptation to environmental conditions (e.g., altitude, harsh farming environment). Aosta cattle (Aosta Red Pied - ARP; Aosta Black Pied/Chestnut - ABC and Mixed Chestnut-Héren - ACH) farmed in the Aosta Valley, and the Oropa Red Pied (ORO), farmed in the Piedmont region, are autochthonous dual-purpose breeds well adapted to the natural Alpine environment. In contrast, the Holstein (HOL) breed is a specialized dairy breed raised in intensive farming systems, representing an artificial environment. The aim of this study is to use CNVs to characterize these breeds and explore the relationship between structural genomic variability and adaptation to mountain farming systems (natural environment) vs. intensive farming systems (artificial environment). Using the GeneSeek Genomic Profiler Bovine 100K data, a total of 160,798 CNVs were identified across 5,610 individuals. Principal Component Analysis (PCA) using CNV Regions (CNVRs) revealed that Aosta breeds clustered into two separate groups, with one smaller cluster including part of ORO cows, while the Holstein formed a distinct cluster. These results suggest that CNVs may act as markers of adaptive selection, influencing both Aosta and ORO breeds, though to a different extent compared to the intensively farmed HOL breed. A total of 526 CNVRs were identified in at least 2% of the samples. Annotated genes and overlapping QTL were functionally associated with production, functional traits, and health-related characteristics. V analysis revealed candidate genes linked to environmental adaptation, reproduction, and metabolic efficiency in Aosta, ORO, and HOL cattle. Key findings include TCF12 and SRGAP1 deletions in Aosta, suggesting trade-offs between muscle growth and endurance, while ELF2 and ARID5B gains in Holstein indicate aptitude for milk protein synthesis and feed efficiency. Additionally, reproductive genes (RGS3, GSE1, MARCH10) showed distinct selection pressures between Dual-purpose and Holstein breeds, reflecting adaptation to different production systems.
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http://dx.doi.org/10.1038/s41598-025-07165-5 | DOI Listing |
Theor Appl Genet
September 2025
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hybrid breeding based on male sterility requires the removal of male parents, which is time- and labor-intensive; however, the use of female sterile male parent can solve this problem. In the offspring of distant hybridization between Brassica oleracea and Brassica napus, we obtained a mutant, 5GH12-279, which not only fails to generate gynoecium (thereby causing female sterility) but also has serrated leaves that could be used as a phenotypic marker in seedling screening. Genetic analysis revealed that this trait was controlled by a single dominant gene.
View Article and Find Full Text PDFNat Food
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Department of Food System Sciences, Research Institute of Organic Agriculture (FiBL), Frick, Switzerland.
Med Eng Phys
October 2025
Centre for Simulation in Bioengineering, Biomechanics and Biomaterials (CS3B), Department of Mechanical Engineering, School of Engineering of Bauru, São Paulo State University (UNESP), Bauru, São Paulo, Brazil. Electronic address:
This study aimed to evaluate the near-cortical over-drilling technique on the mechanical behaviour of bone-plate constructs in a rabbit transverse femoral fracture. In vitro biomechanical testing and finite element (FE) models were used for analyses. Rabbits' bones (n = 14) were divided into two groups: G1 - without near-cortical over-drilling, and G2 - with near-cortical over-drilling.
View Article and Find Full Text PDFJMIR Res Protoc
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Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
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View Article and Find Full Text PDFJ Med Internet Res
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Artificial Intelligence and Mathematical Modeling Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Background: The H5N1 avian influenza A virus represents a serious threat to both animal and human health, with the potential to escalate into a global pandemic. Effective monitoring of social media during H5N1 avian influenza outbreaks could potentially offer critical insights to guide public health strategies. Social media platforms like Reddit, with their diverse and region-specific communities, provide a rich source of data that can reveal collective attitudes, concerns, and behavioral trends in real time.
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