Article

High-throughput sequencing reveals bacterial diversity in raw milk production environment and production chain in Tangshan city of China

Huihui Cao1,2,3,, Yanhua Yan1,2,3,, Lei Wang1,2, Lixue Dong1,2,3, Xueliang Pang1,2,3, Sining Tang2,3, Aijun Li1,2, Aili Xiang2,3, Litian Zhang1,2,3,*, Baiqin Zheng1,2,3,*
Author Information & Copyright
1Tangshan Food and Drug Comprehensive Testing Center, Tangshan (063000), China, Tangshan 063000, China.
2Hebei Agricultural Products Quality and Safety Testing Innovation Center, Tangshan 063000, China.
3Tangshan Institute of Industrial Technology for functional agricultural products, Tangshan 063000, China.

† These authors contributed equally to this work.

*Corresponding Author: Litian Zhang, Tangshan Food and Drug Comprehensive Testing Center, Tangshan (063000), China, Tangshan 063000, China. Hebei Agricultural Products Quality and Safety Testing Innovation Center, Tangshan 063000, China. Tangshan Institute of Industrial Technology for functional agricultural products, Tangshan 063000, China.
*Corresponding Author: Baiqin Zheng, Tangshan Food and Drug Comprehensive Testing Center, Tangshan (063000), China, Tangshan 063000, China. Hebei Agricultural Products Quality and Safety Testing Innovation Center, Tangshan 063000, China. Tangshan Institute of Industrial Technology for functional agricultural products, Tangshan 063000, China. E-mail: lihua_cahp@sina.com.

© Copyright 2021 Korean Society for Food Science of Animal Resources. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Nov 17, 2020 ; Revised: Feb 27, 2021 ; Accepted: Mar 05, 2021

Published Online: Mar 17, 2021

Abstract

Raw milk is a nature media of microbiota that access milk from various sources, which constitutes a challenge in dairy production. This study characterizes the relationship between the raw milk quality and the bacteria diversity at different sampling sites in dairy farms, aiming to provide a strong scientific basis for good hygienic practices and optimized procedure in milk production. High-throughput sequencing of 16S rRNA V3-V4 region was used to analyze the components, abundance and diversity of 48 bacterial population sampled from 8 different sites in dairy farm: pre-sterilized cow’s teats (C1), post-sterilized cow’s teats (C2), milking cluster (E), milk in storage tank (M1), transport vehicle (M2), storage equipment (E2), Cow’s dung samples (F) and drinking water (W). Firmicutes account for predominantly 32.36% (C1), 44.62% (C2), 44.71% (E), 41.10% (M1), 45.08% (M2), 53.38% (F) of all annotated phyla. Proteobacteria accounts for 81.79% in W group and Actinobacteria 56.43% in E2 group. At the genus level, Acinetobacter was the most abundant genus that causes bovine mastitis, Acinetobacter and Arthrobacter were dominant in C1, C2 and E groups, Kocuria in E2 group and Arcobacter in W group. E, C1 and C2 group have very similar bacterial composition, and M1 and M2 demonstrated similar composition, indicating that the milking cluster was polluted by the environment or contact with cow udders. Bacterial population composition in different sampling sites identified by NGS reveals a correlation between the bacteria communities of raw milk production chain and the quality of raw milk.

Keywords: High-Throughput Nucleotide Sequencing; Microbial Community Composition; Environmental Microbiology; Hygienic Practice


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