To clarify the relationship between beef genetic selection for growth and precocity with muscle metabolism and metabolites, we performed metabolomic analysis using (LL) muscle from Nellore cattle with divergent selection for these traits (high growth, HG; low growth, LG; high precocity, HP; low precocity, LP). Genetic potential for growth affected muscle protein and energetic metabolism. HG animals had a high concentration of arginine, carnosine, and leucine compared to LG animals. HP animals presented a high concentration of glutamine, betaine, creatinine, isoleucine, carnitine, acetyl carnitine, and lower levels of glucose compared to LP animals, affecting protein and fatty acid metabolism. Intensity of selection (high or low) was correlated with changes in protein metabolism, and the type of selection (growth or precocity) affected fat metabolism. In conclusion, both HG and HP appear to be correlated with a high concentration of protein metabolites and changes in protein metabolic pathways, while selection for precocity is more correlated with changes in fat metabolism compared to animals selected for growth.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073857PMC
http://dx.doi.org/10.3390/metabo10020058DOI Listing

Publication Analysis

Top Keywords

selection growth
12
growth precocity
12
high concentration
12
compared animals
12
muscle metabolism
8
nellore cattle
8
correlated changes
8
changes protein
8
fat metabolism
8
metabolism
7

Similar Publications

Gut microbial communities and transcriptional profiles of black soldier fly (Hermitia illucens) larvae fed on fermented sericulture waste.

Waste Manag

January 2025

Guangdong Provincial Key Lab of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangxi Key Laboratory of Sericulture Ecology and Applied Intelligent Technology/ Guangxi Collaborative Innovation Center of Modern Sericulture and Silk, Hechi University, Hechi 546300, China. Electronic address:

Sericulture waste poses significant challenges to industrial and environmental safety. Black soldier fly larvae (BSFL) offer a promising solution for organic waste management by converting it into insect protein. This study aimed to develop a microbial fermented method for utilizing sericulture waste to feed BSFL and explore the underlying mechanisms.

View Article and Find Full Text PDF

Relative fire-proneness of land cover types in the Brazilian Atlantic forest.

J Environ Manage

January 2025

CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, C2, Piso 5, 1749-016, Lisboa, Portugal. Electronic address:

Fires are increasingly affecting tropical biomes, where landscape-fire interactions remain understudied. We investigate the fire-proneness-the likelihood of a land use or land cover (LULC) type burning more or less than expected based on availability-in the Brazilian Atlantic Forest (AF). This biodiversity hotspot is increasingly affected by fires due to human activities and climate change.

View Article and Find Full Text PDF

Codon bias, nucleotide selection, and genome size predict in situ bacterial growth rate and transcription in rewetted soil.

Proc Natl Acad Sci U S A

January 2025

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550.

In soils, the first rain after a prolonged dry period represents a major pulse event impacting soil microbial community function, yet we lack a full understanding of the genomic traits associated with the microbial response to rewetting. Genomic traits such as codon usage bias and genome size have been linked to bacterial growth in soils-however, often through measurements in culture. Here, we used metagenome-assembled genomes (MAGs) with O-water stable isotope probing and metatranscriptomics to track genomic traits associated with growth and transcription of soil microorganisms over one week following rewetting of a grassland soil.

View Article and Find Full Text PDF

Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy.

Microsc Microanal

January 2025

Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin 14195, Germany.

In catalysis research, the amount of microscopy data acquired when imaging dynamic processes is often too much for nonautomated quantitative analysis. Developing machine learned segmentation models is challenged by the requirement of high-quality annotated training data. We thus substitute expert-annotated data with a physics-based sequential synthetic data model.

View Article and Find Full Text PDF

Abies pindrow, a vital conifer in the Kashmir Himalayan forests, faces threats from low regeneration rates, deforestation, grazing, and climate change, highlighting the urgency for restoration efforts. In this context, we investigated the diversity of potential culturable seed endophytes in A. pindrow, assessed their plant growth-promoting (PGP) activities, and their impact on seed germination and seedling growth.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!