Common pregnancy detection methods in dairy cattle have limits in sensitivity and timing. Thus, we aimed at finding new early pregnancy biomarkers in milk. A previous study in milk cells and skim milk suggested the possible use of several miRNAs for this purpose. In order to make the sampling procedure more convenient for daily use and to include the milk fat into analysis, here, a similar study was repeated using whole fresh milk of days 4, 12, 18 and 21 of pregnancy and non-pregnant day-matched controls, respectively. The microRNAs (miRNAs) were extracted from milk samples and sequenced on a high throughput sequencer (RNAseq). Promising miRNAs were validated via RT-qPCR. Several miRNAs were significantly regulated and six miRNAs (bta-miR-221, bta-miR-223, bta-miR-93, bta-miR-200c, bta-miR-125b and the closely related bta-miR-15b) showed a continuous trend, similar as in the milk cells of the previous study. However, pregnant and cyclic animals could not be separated completely and RT-qPCR validation of the RNAseq data was unsuccessful. Thus, miRNA of bovine whole fresh milk samples failed to show suitability for early pregnancy diagnosis.
Keywords: Bos taurus; Cow; Dairy farm management; Next generation sequencing; Reproduction; miRNA, biomarker.
Copyright © 2019. Published by Elsevier B.V.