The microbiome of common bedding materials before and after use on commercial dairy farms

Ray, Tui; Gaire, Tara; Dean, Christopher; Rowe, Sam; Godden, Sandra; Noyes, Noelle

doi:10.1186/s42523-022-00171-2

Cited by 13 publications

(7 citation statements)

References 70 publications

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“…Trueperella pyogenes is a common summer mastitis pathogen ( Ishiyama et al, 2017 ), and was present in a single sample at high abundance, indicating a potential subclinical IMI. Ornithinimicrobium has been detected previously in milk and bedding microbiome samples ( Dean et al, 2021 ; Li et al, 2021 ), and was linked to be significantly higher in sand bedding in comparison to other beddings ( Ray et al, 2022 ), which is the type of bedding used in the present study.…”

Section: Resultsmentioning

confidence: 50%

Characterization of rumen, fecal, and milk microbiota in lactating dairy cows

et al. 2022

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Targeting the gastrointestinal microbiome for improvement of feed efficiency and reduction of production costs is a potential promising strategy. However little progress has been made in manipulation of the gut microbiomes in dairy cattle to improve milk yield and milk quality. Even less understood is the milk microbiome. Understanding the milk microbiome may provide insight into how the microbiota correlate with milk yield and milk quality. The objective of this study was to characterize similarities between rumen, fecal, and milk microbiota simultaneously, and to investigate associations between microbiota, milk somatic cell count (SCC), and milk yield. A total of 51 mid-lactation, multiparous Holstein dairy cattle were chosen for sampling of ruminal, fecal, and milk contents that were processed for microbial DNA extraction and sequencing. Cows were categorized based on low, medium, and high SCC; as well as low, medium, and high milk yield. Beta diversity indicated that ruminal, fecal, and milk populations were distinct (p < 0.001). Additionally, the Shannon index demonstrated that ruminal microbial populations were more diverse (p < 0.05) than were fecal and milk populations, and milk microbiota was the least diverse of all sample types (p < 0.001). While diversity indices were not linked (p > 0.1) with milk yield, milk microbial populations from cows with low SCC demonstrated a more evenly distributed microbiome in comparison to cows with high SCC values (p = 0.053). These data demonstrate the complexity of host microbiomes both in the gut and mammary gland. Further, we conclude that there is a significant relationship between mammary health (i.e., SCC) and the milk microbiome. Whether this microbiome could be utilized in efforts to protect the mammary gland remains unclear, but should be explored in future studies.

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Section: Resultsmentioning

confidence: 50%

Characterization of rumen, fecal, and milk microbiota in lactating dairy cows

et al. 2022

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“…A comparative study of the microbiome of common bedding materials before and after use on commercial dairy farms has been previously published. 24 We piloted the TransnetYX Microbiome assay to capture differences in the microbiota of microenvironmental samples, including bedding, diet, and water, in each barrier facility before their use to correlate with the observed changes in the respective mouse FM data. However, the TransnetYX Microbiome assay has not been validated for such samples and therefore the results we obtained are not included in this study.…”

Section: Discussionmentioning

confidence: 99%

Effect of Husbandry Practices on the Fecal Microbiota of C57BL/6J Breeding Colonies Housed in 2 Different Barrier Facilities in the Same Institution

Roman

Snijders

Chang

et al. 2023

j am assoc lab anim sci

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Evidence showing a relationship between the mouse gut microbiome and properties such as phenotype and reaction to therapeutic agents and other treatments has increased significantly over the past 20 to 30 y. Recent concerns regarding the reproducibility of animal experiments have underscored the importance of understanding this relationship and how differences in husbandry practices can affect the gut microbiome. The current study focuses on effects of different barrier practices in 2 barrier facilities at the same institution on the fecal microbiome of breeding C57Bl/6J mice. Ten female and 10 male C57Bl/6J mice were obtained in one shipment from Jackson Laboratories and were housed under different barrier conditions upon arrival. Fecal samples were collected on arrival and periodically thereafter and were sent to TransnetYX for microbiome analysis. Mice used for collection of feces were housed as breeding pairs, with a total of 5 breeding pairs per barrier. An additional fecal sample was collected from these mice at 8 wk after arrival. One F1 female and one F1 male from each breeding cage were housed as brother-sister breeding pairs and a fecal sample was collected from them at 8 wk of age. Brother-sister breeding colonies were continued through F3, with fecal samples for microbiome analysis were collected from each generation at 8 wk of age. Breeding colonies in the 2 barriers showed differences in relative abundance, α-diversity, and β-diversity. Our data indicate that differences in barrier husbandry practices, including the use of autoclaved cages, the degree of restricted access, feed treatment practices, and water provision practices, can affect fecal microbiome divergence in both the parental and filial generations of different breeding colonies. To our knowledge, this is the first study to examine the effect of barrier husbandry practices on the microbiome of breeding colonies through the F3 generation.

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“…Mastitis in dairy cows can be influenced by various factors, including the type of bedding used. Studies have shown significant variations in bacterial counts not only between different bedding materials in dairy farming but also across seasons [42,34]. Correlations between pathogen populations in bedding and teat skin have been observed, emphasizing the potential for teats to pick up bacteria (Streptococcus,…”

Section: Effects Of Different Bedding Types On Mastitis Incidence In ...mentioning

confidence: 99%

Strategies for Preventing Environmental Mastitis in Dairy Farming: A Review

Chinmayee,

Kumar,

Kumar

et al. 2024

AJAAR

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The dairy industry must adhere to stringent international standards due to the growing demand for healthy, high-quality, and affordable dairy products worldwide. To ensure the quality of raw milk, key markers such as Bulk Milk Somatic Cell Count (BMSCC) and Total Bacterial Count (BMTBC) have become standard benchmarks. However, mastitis, the most common disease affecting dairy cows, poses a significant risk to both animal welfare and the long-term sustainability of the dairy sector. Mastitis leads to reduced milk production, increased treatment costs, milk withholding during treatment, higher labor requirements, and premature culling of affected cows. In India alone, mastitis costs the dairy industry 2.37 billion rupees annually, with subclinical mastitis accounting for approximately 70% of this loss. While contagious infections have been effectively controlled, environmental mastitis pathogens such as Streptococcus uberis, Escherichia coli, and Klebsiella spp now pose the primary concern for mastitis control. The management of cow bedding materials is crucial as they serve as a significant source of exposure to these environmental infections. This review study provides a detailed discussion of environmental mastitis pathogen control, emphasizing the critical role of bedding materials in reducing the risk of exposure to these pathogens.

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The microbiome of common bedding materials before and after use on commercial dairy farms

Cited by 13 publications

References 70 publications

Characterization of rumen, fecal, and milk microbiota in lactating dairy cows

Characterization of rumen, fecal, and milk microbiota in lactating dairy cows

Effect of Husbandry Practices on the Fecal Microbiota of C57BL/6J Breeding Colonies Housed in 2 Different Barrier Facilities in the Same Institution

Strategies for Preventing Environmental Mastitis in Dairy Farming: A Review

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