Abstract #375
Section: Animal Health (orals)
Session: Animal Health IV
Format: Oral
Day/Time: Tuesday 2:00 PM–2:15 PM
Location: Room 300 CD
Session: Animal Health IV
Format: Oral
Day/Time: Tuesday 2:00 PM–2:15 PM
Location: Room 300 CD
# 375
Spatial heterogeneity and interactions of microbiota in raw milk and teat skin of dairy cows.
Hui Yan1, Shoukun Ji1, Chunyan Guo1,2, Jiang Mao1, Yun Du1, Feiran Wang*1, Yajing Wang1, Zhijun Cao1, Wen Du1, Shengli Li1, 1State Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China, 2College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang, China.
Key Words: Source tracker, co-occurrence network, raw milk and teat skin microbiota
Spatial heterogeneity and interactions of microbiota in raw milk and teat skin of dairy cows.
Hui Yan1, Shoukun Ji1, Chunyan Guo1,2, Jiang Mao1, Yun Du1, Feiran Wang*1, Yajing Wang1, Zhijun Cao1, Wen Du1, Shengli Li1, 1State Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing, China, 2College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang, China.
Microbiota in raw milk and teat skin played critical roles in human food quality and health of cows, yet knowledge of microbiota profiles and interactions in raw milk and teat skin was still limited. Here, we investigated the composition, diversity and co-occurrence network of bacterial community in raw milk and teat skin, respectively, as well as the bacterial interactions in these 2 adjacent spatial locations with 469 samples. We observed that raw milk and teat skin harbored distinguishable bacterial communities; however, bacterial interactions in these 2 adjacent spatial locations were also detected. With Source tracker pipeline (version 1.0.1) based on Bayesian algorithm, we were able to demonstrate that 92.1% of bacteria in raw milk were transferred from teat skin, while 63.6% of bacteria in teat skin were transferred from raw milk. Moreover, bacterial community in teat skin trended to be more similar with that in raw milk during milking, which suggests that milking period might be the window of bacteria transfer between raw milk and teat skin. These findings may expand our understanding of bacterial community in raw milk and teat skin, and highlighted that bacterial community in teat skin played comprehensive roles on that in raw milk.
Key Words: Source tracker, co-occurrence network, raw milk and teat skin microbiota
