First report on the molecular detection and genetic diversity of Anaplasma marginale in healthy dairy cattle in Khon Kaen province, Thailand.

Background and Aim: Bovine anaplasmosis (BA) is one of the most important diseases of ruminants worldwide, causing significant economic losses in the livestock industry due to the high morbidity and mortality in susceptible cattle herds. Anaplasma marginale is the main causative agent of BA occurring worldwide in tropical and subtropical regions. This study aimed to investigate the first molecular detection and genetic diversity of A. marginale in dairy cattle in Khon Kaen Province, Thailand. Materials and Methods: Blood samples were collected from 385 lactating cows from 40 dairy farms in five districts of Khon Kaen, regardless of age and health status. To detect A. marginale, all DNA preparations were used for molecular diagnosis using a single polymerase chain reaction with the msp4 gene target. A phylogenetic tree was constructed from the msp4 gene sequences using molecular genetic characterization. Genetic diversity was calculated as haplotype diversity, haplotype number, number of nucleotide differences, nucleotide diversity, and average number of nucleotide differences. Results: The overall prevalence of A. marginale was 12.72% (49/385). The highest prevalence (17.19%) was found in Ubolratana district, followed by Muang, Kranuan, Khao Suan Kwang, and Nam Phong districts (14.94%, 14.74%, 13.79%, and 3.70%, respectively). Phylogenetic analysis showed that A. marginale was closely related to isolates from Australia (98.96%), China (99.68%), Spain (99.74%), and the USA (99.63%). Conclusion: The molecular prevalence of BA in dairy cattle is the first to be observed in this area, and the genetic variability with separated clusters shown in the msp4 gene of A. marginale revealed species variation in dairy cattle. This significant genetic diversity contributes to the understanding of the diversity of A. marginale and will be important for the control and prevention of A. marginale in dairy cattle.

Global prevalence of subclinical ketosis in dairy cows: A systematic review and meta-analysis.

The objectives of this study were to estimate the global prevalence of SCK in dairy cows, to identify optimum thresholds for BHB determining, to explore heterogeneity for some particular characteristics (continents, diagnosis techniques, cut-off, sample type, parity, breed, and housing), and to determine the SCK prevalence trend. SCK prevalence levels in dairy cows from various countries were calculated using bibliographic databases up until May 17, 2021 to screen titles and abstracts for possible eligibility. Thirty-eight studies from six continents were then included using a random-effects model to calculate the pooled SCK prevalence. Subgroup meta-analyses were performed to assess the heterogeneity of the prevalence for the above characteristics. Meta-regression and cumulative meta-analysis were used to assess the SCK prevalence trends. The results showed that the global prevalence of SCK in dairy cows was 22.7% [95% CI 21.2-24.3%]. No significant differences in SCK prevalence were observed among continents, diagnostic techniques, cut-off values-≥1.0, ≥1.2 and ≥1.4 mmol/L, sample types-milk and blood, and parities. However, the prevalence in Holsteins (19.8%) was significantly lower than other mixed breeds (23.7%). The SCK prevalence was significantly higher in indoor barns (27.8%) than in pasture and unspecified housing. In meta-regression, the SCK prevalence was not associated with study years or days in milk. The cumulative evidence suggested that the prevalence of SCK in dairy cows was associated with a wide range of risk factors. This study illustrates that the global prevalence of SCK in dairy cows is quite high; therefore, there is an urgent need to globally reduce the SCK prevalence in dairy farms.

Milk protein profiles in response to Streptococcus agalactiae subclinical mastitis in dairy cows.

The objective of this study was to investigate the milk protein profiles of normal milk and those of milk during the course of subclinical mastitis, caused by natural Streptococcus agalactiae infection. Two-dimensional gel electrophoresis and liquid chromatography mass spectrometry were used to assess protein profiles and to identify the proteins. The results showed that S. agalactiae subclinical mastitis altered the protein profiles of milk. Following Mascot database matching, 11 and 12 protein types were identified in the milk collected from healthy and S. agalactiae subclinical mastitic udders, respectively. The distinct presence of the antibacterial protein cathelicidin-1 was detected in infected milk samples, which in turn was highly correlated to the severity of subclinical mastitis as represented by the milk somatic cell count (r = 0.616), but not the bacterial count. The protein profile of milk reveals changes in the host response to S. agalactiae intramammary infection; cathelicidin-1 could therefore serve as a biomarker for the detection of subclinical mastitis in dairy cows.