A classification of raw bovine’s milk samples according to theirgeographical origin in Peninsular Malaysia by Makmal Kesihatan Awam Veterinar, Department of Veterinary Services Malaysia (DVS). Six hundred bovine milk samples were collected from Perlis, Kedah, Perak, Selangor, Pahang, Negeri Sembilan, Melaka and Johor states by 26 milkcollecting centres under DVS. This study was carried out directly using attenuated total reflectance Fourier transform infrared(ATR-FTIR) spectroscopy method coupled with a multivariate principal component analysis (PCA). The spectra generated by ATR-FTIR were analysed and regions of interest were found in between 3851.651cm-1 until 2700.819 cm-1 and 2419.173 cm-1 until 977.368 cm-1. The absorbance and wavenumber data of the regions were then analysed using PCA and the results show presence of clustering towards theirgeographical origin. ATR-FTIR coupled with multivariate PCA has potential for classifying the geographical origin of raw milk produced within Peninsular Malaysia. This method provides a rapid and nondestructive secondary methodology in milk classification without further sample preparation.

Bovine haemoparasites are cosmopolitan in distribution and are known to cause substantial losses to the cattle industry. In spite of their economic importance, there remains a dearth of information on their molecular epidemiology in many parts of the world including Malaysia. To ascertain the molecular prevalence and species co-infection of bovine haemoparasites in the country, blood samples were collected from 1,045 heads of beef and dairy cattle on 43 farms from six geographical zones throughout Peninsular Malaysia. Samples subjected to PCR amplification of parasite species-specific genetic fragments revealed that Anaplasma marginale was the most prevalent haemoparasite (72.6%),followed by Theileria orientalis(49.8%),Candidatus Mycoplasma haemobos ( 47. 0 % ),Babesia bovis(32. 5%), Babesia bigemina (30.5%) and Trypanosomaevansi(17.9%). A high percentage (92.1%) of cattle was infected with either one or more haemoparasites. Triple haemoparasite species co-infection was the most prevalent (25.6%), followed closely by double species co-infection (25.1%). The most common (8.8%) and significantly correlated(rs= 0.250; p<0.01) combination was A. marginale+ T.orientalis. The present study constitutes the first attempt in the country to document the molecular prevalence and species co-infection of bovine haemoparasites over a wide spatial distribution. The data obtained will facilitate treatment, control and prevention measures to improve the local cattle industry.

A study was carried out to report the phylogenetic analysis of Brucella abortus and Brucella melitensisby using molecular techniques from samples submitted to the Regional Veterinary Laboratory, Bukit Tengah.In this study, identification and genetic characterization of Brucella isolated samples using molecular analysis based on IS711 sequence between localisolates and foreign countries accesses in GenBank was done successfully. A total of 31 samples were isolated for Brucella species and then were amplified byPCR, directly sequenced and compared genetically to published sequences which were obtained from GenBank. The most common Brucella species that was found in both bovine (76.5%) and caprine (85.7%) through diagnostic samples in Regional Veterinary Laboratory, Bukit Tengah, was Brucella melitensis. PCR and sequencing were confirmed positive with 76.5% for Brucella melitensis, 23.5% for Brucella abortus and 23.5% for mixed infectionfrom the total of 17 bovine samples. In caprine, the detection of Brucella melintesis and Brucella abortus showed 85.7% and 21.4% respectively meanwhile total mixedinfection showed 21.4%. These clustering between local isolates of Brucella melitensis were phylogenetically related to other Asian countries such as Singapore,Yemen and Saudi Arabia. The Neighbour Joining Analysis clustered the Brucella abortus local isolates for both bovine and caprine were most closely related to India,Iran, Italy and USA. Interestingly, all the isolates within Malaysia have a close relationship (>95%) with the low level of genetic diversity. When local isolates arecompared to GenBank data, it gives an indication on the possible sources of these infections. Eventually, it will improve the import and export policies to controlbrucellosis in Malaysia.