Ciencia y tecnología veterinaria

High-Throughput Sequencing for the Detection of the Bacterial Diversity in Milking Procedure in China Dairy Farms

Abstract

Cao Huihui, Yan Yanhua, Wang Lei, Zhou Yu, Wang Yan, Tang Xueying, Pang Xueliang, Zhang Ning, Dong Lixue, Zheng Baiqin

The effect of proper milking procedure on improving raw milk of dairy farms was significantly. To explore the bacterial community along milking, 6 typical sites of milking before sending to the milk plant were selected in Hebei conventional dairy farm, including pre-sterilized cow’s teats (C1), post-sterilized cow’s teats (C2), milking cluster (E1), milk storage equipment (E2) and the different links of raw milk samples, milk in storage tank (M1) and milk in the transporters (M2). High-throughput sequencing technology has been used to study the characteristics of the bacterial diversity, richness and alpha diversity, beta diversity along milking. A total of 1 969 296 raw reads and 1 763 746 quality control sequences were obtained which were clustered into 3 546 OTUs. These OTUs were covered 33 phyla, 80 classes, 129 orders, 226 families, 457 genera and 213 species. The relative content of each milking sites is more than 5% dominant bacterium phyla: Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria; Dominant bacteria genera include Acinetobacter, Arthrobacter, Sphingobacterium, Macrococcus and Corynebacterium. Through analyzing bacterial OTUs and diversity, detected that composition of bacterial communities were clearly different at different milking sties, C1 has the highest bacterial richness and M1 has the best bacterial evenness. The diversity of bacteria was different and the richness and evenness were obviously different. The purpose of this study was to addresses the bacteria sources along milking, which can guide the raw milk utilization and production by consumers and dairy