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Published on: December 23, 2018
Associations among Milk Microbiota, Milk Fatty Acids, Milk Glycans, and Inflammation from Lactating Holstein Cows
Laurynne C Coates1, Sierra D Durham2, David H Storms1
1U.S. Department of Agriculture-Agricultural Research Service, Western Human Nutrition Research Center, Davis, California, USA.
Abstract:
Milk oligosaccharides (MOs) can be prebiotic and antiadhesive, while fatty acids (MFAs) can be antimicrobial. Both have been associated with milk microbes or mammary gland inflammation in humans. Relationships between these milk components and milk microbes or inflammation have not been determined for cows and could help elucidate a novel approach for the dairy industry to promote desired milk microbial composition for improvement of milk quality and reduction of milk waste. We aimed to determine relationships among milk microbiota, MFAs, MOs, lactose, and somatic cell counts (SCC) from Holstein cows, using our previously published data. Raw milk samples were collected at three time points, ranging from early to late lactation. Data were analyzed using linear mixed-effects modeling and repeated-measures correlation. Unsaturated MFA and short-chain MFA had mostly negative relationships with potentially pathogenic genera, including Corynebacterium, Pseudomonas, and an unknown Enterobacteriaceae genus but numerous positive relationships with symbionts Bifidobacterium and Bacteroides. Conversely, many MOs were positively correlated with potentially pathogenic genera (e.g., Corynebacterium, Enterococcus, and Pseudomonas), and numerous MOs were negatively correlated with the symbiont Bifidobacterium. The neutral, nonfucosylated MO composed of eight hexoses had a positive relationship with SCC, while lactose had a negative relationship with SCC. One interpretation of these trends might be that in milk, MFAs disrupt primarily pathogenic bacterial cells, causing a relative increase in abundance of beneficial microbial taxa, while MOs respond to and act on pathogenic taxa primarily through antiadhesive methods. Further research is needed to confirm the potential mechanisms driving these correlations. IMPORTANCE Bovine milk can harbor microbes that cause mastitis, milk spoilage, and foodborne illness. Fatty acids found in milk can be antimicrobial and milk oligosaccharides can have antiadhesive, prebiotic, and immune-modulatory effects. Relationships among milk microbes, fatty acids, oligosaccharides, and inflammation have been reported for humans. To our knowledge, associations among the milk microbial composition, fatty acids, oligosaccharides, and lactose have not been reported for healthy lactating cows. Identifying these potential relationships in bovine milk will inform future efforts to characterize direct and indirect interactions of the milk components with the milk microbiota. Since many milk components are associated with herd management practices, determining if these milk components impact milk microbes may provide valuable information for dairy cow management and breeding practices aimed at minimizing harmful and spoilage-causing microbes in raw milk.
Insights
Milk fatty acids (MFAs) show antimicrobial effects, reducing pathogenic bacteria in cow milk. Milk oligosaccharides (MOs) correlate with both beneficial and harmful bacteria, influencing milk quality and microbial composition.
Area of Science:
- Dairy Science
- Microbiology
- Animal Science
Background:
- Milk oligosaccharides (MOs) possess prebiotic and antiadhesive properties, while milk fatty acids (MFAs) exhibit antimicrobial activity.
- Associations between milk components and milk microbes or inflammation are established in humans but not fully understood in cows.
- Understanding these relationships in bovine milk could optimize dairy industry practices for improved milk quality and reduced waste.
Purpose of the Study:
- To investigate the relationships among milk microbiota, MFAs, MOs, lactose, and somatic cell counts (SCC) in Holstein cows.
- To determine how milk components influence the abundance of beneficial and pathogenic bacteria in raw milk.
- To provide insights for dairy management and breeding strategies targeting milk microbial composition.
Main Methods:
- Analysis of raw milk samples collected at three lactation time points.
- Application of linear mixed-effects modeling and repeated-measures correlation.
- Examination of correlations between specific MFA types, MOs, lactose, and bacterial genera.
Main Results:
- Unsaturated and short-chain MFAs were negatively correlated with pathogenic bacteria (e.g., Corynebacterium, Pseudomonas) and positively with symbionts (Bifidobacterium, Bacteroides).
- Many MOs showed positive correlations with pathogenic genera and negative correlations with Bifidobacterium.
- A neutral MO correlated positively with SCC, while lactose correlated negatively with SCC.
Conclusions:
- MFAs may disrupt pathogenic bacteria, promoting beneficial microbes, while MOs might primarily act via antiadhesive mechanisms against pathogens.
- These findings suggest potential mechanisms for modulating bovine milk microbiota through milk component manipulation.
- Further research is needed to confirm the functional roles and mechanisms underlying these observed correlations in bovine milk.
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