Dairy cow performance is associated with longitudinal microRNA profiles

Area of Science:

• Animal Science
• Genomics
• Biotechnology

Background:

• High-producing dairy cows face challenges with fertility and disease, impacting welfare and profitability.
• Genetic selection has improved traits, but additional biomarkers are needed for early problem detection.
• Plasma microRNAs (miRNAs) are investigated as potential early-life indicators of future dairy cow performance.

Purpose of the Study:

• To investigate plasma miRNA profiles in early life as potential biomarkers for dairy cow health and performance traits.
• To identify specific miRNAs and their ratios associated with survival, calving, milk production, udder health, and fertility.

Main Methods:

• Longitudinal plasma samples were collected from calves, heifers, and first-lactation cows.
• Quantitative PCR (qPCR) was used to measure levels and ratios of nine specific miRNAs.
• miRNA data were correlated with various performance and health traits, including milk yield, somatic cell count, and calving interval.

Main Results:

• Changes in miR-126-3p from calf to first lactation correlated with milk yield and somatic cell count.
• The miR-127 to miR-30c-5p ratio was associated with milk fat and protein yield.
• miR-142-5p levels and related ratios linked to the second calving interval, indicating fertility prediction potential.

Conclusions:

• Novel early-life plasma miRNA biomarkers were identified for dairy cattle performance.
• These miRNAs, including miR-126-3p, miR-127, and miR-142-5p, warrant further research for predictive applications.
• Early detection biomarkers could enhance dairy cow management, welfare, and economic outcomes.