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Cattle traits like average daily weight gain (ADG) greatly impact profitability. Selecting based on ADG considering genetic variability can lead to economic and genetic advancements in cattle breeding. This study aimed to unravel genetic influences on ADG variation in Hanwoo cattle at the skeletal muscle transcriptomic level. RNA sequencing was conducted on longissimus dorsi (LD), semimembranosus (SB), and psoas major (PM) muscles of 14 steers assigned to same feed, grouped by low (≤ 0.71 kg) and high (≥ 0.77 kg) ADG. At P ≤ 0.05 and log2fold > 1.5, the distinct pattern of gene expression was identified with 184, 172, and 210 differentially expressed genes in LD, SB, and PM muscles, respectively. Tissue-specific responses to ADG variation were evident, with myogenesis and differentiation associated JAK-STAT signaling pathway and prolactin signaling pathways enriched in LD and SB muscles, while adipogenesis-related PPAR signaling pathways were enriched in PM muscle. Key hub genes (AXIN2, CDKN1A, MYC, PTGS2, FZD5, SPP1) were upregulated and functionally significant in muscle growth and differentiation. Notably, DPP6, CDKN1A, and FZD5 emerged as possible candidate genes linked to ADG variation. These findings enhance our understanding of genetic factors behind ADG variation in Hanwoo cattle, illuminating skeletal muscle mechanisms influencing ADG.
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http://dx.doi.org/10.1038/s41598-023-51037-9 | DOI Listing |
Anim Nutr
September 2025
College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
This review aimed to summarize the relationship between rumen bacteria and production performance in dairy cows. The composition and metabolic functions of rumen bacteria significantly influenced production performance. However, previous studies lacked a systematic review of how variations in rumen bacterial composition correlate with production performance.
View Article and Find Full Text PDFMed Image Anal
December 2025
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom.
Fetal echocardiography offers non-invasive and real-time imaging acquisition of fetal heart images to identify congenital heart conditions. Manual acquisition of standard heart views is time-consuming, whereas automated detection remains challenging due to high spatial similarity across anatomical views with subtle local image appearance variations. To address these challenges, we introduce a very lightweight frequency-guided deep learning-based model named HarmonicEchoNet that can automatically detect heart standard views in a transverse sweep or freehand ultrasound scan of the fetal heart.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Animal Science, Faculty of Animal and Aquatic Science, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
Although dominance effects play a major role in quantitative genetics, most studies on quantitative traits have often neglected dominance effects, assuming alleles act additively. Therefore, the aim followed here was to quantify the proportion of variation in the early growth of Baluchi sheep that was attributed to dominance effects. Data collected over a 28-year period at the Baluchi sheep breeding station was used in this study.
View Article and Find Full Text PDFGenet Sel Evol
August 2025
Agroscope, Animal GenoPhenomics, Tioleyre 4, 1725, Posieux, Switzerland.
Background: Improvement of protein efficiency (PE) is a key factor for a sustainable pig production, as nitrogen excretion contributes substantially to environmental pollution. Protein efficiency has been shown to be heritable and genetically correlated with performance traits such as feed conversion ratio (FCR) and average daily feed intake (ADFI). This study aimed to identify genomic regions associated with these traits through single-variant genome-wide association studies (GWAS) and regional heritability mapping (RHM) using whole-genome sequence variants from low-pass sequencing of more than 1000 Swiss Large White pigs.
View Article and Find Full Text PDFSmall Methods
August 2025
Australian Centre for Microscopy & Microanalysis, and School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Camperdown, 2006, Australia.
Bulk metallic glasses (BMGs) exhibit excellent mechanical properties due to their lack of long-range atomic ordering. However, understanding their structure-property relationships remains an unresolved challenge since traditional characterization methods have been unable to reveal the 3D nanostructures that control mechanical properties. In this study, a novel approach is developed that uses atom probe tomography (APT) cluster analysis to identify and visualize 3D nanoscale solute-rich clusters in Zr-based BMGs and quantify their size, composition, spatial distribution, and volume fraction.
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