AIMS: Dairy cattle shed pathogenic Escherichia coli O157 (O157) in faeces, playing a role in human exposure. We aimed to measure faecal microbial communities in early lactation dairy cattle, and model outcomes with O157 shedding metrics. METHODS AND RESULTS: Daily faecal samples were collected from 40 cattle on two Colorado dairies for five consecutive days, and characterized for O157. 16S rRNA gene sequencing was used to measure sample-level microbial communities. Alpha-diversity metrics were associated with O157 outcomes via regression modelling, adjusting for confounders. Differential abundance of taxa were identified between O157(+) and O157(-) samples and between shedding days of individuals, using matched Wilcoxon rank-sum tests, zero-inflated Gaussian (ZIG) regression and negative binomial regression. After removing an outlier, multi-day and intermittently shedding cows had lower average richness compared to those that never shed. ZIG modelling revealed Bacillus coagulans to be more abundant in O157(-) samples, while Moryella were more abundant in O157(+) samples. Negative binomial models and Wilcoxon tests revealed no differentially abundant taxa between O157(+) vs O157(-) samples, or between shedding days of individuals. CONCLUSIONS: Microbial diversity and some taxa may be influenced by or affect O157 shedding by dairy cattle. SIGNIFICANCE AND IMPACT OF THE STUDY: If future work corroborates these findings, dairy cow microbial community changes may be used to guide on-farm strategies that mitigate O157 dissemination, protecting the human food chain.
AIMS: Dairy cattle shed pathogenic Escherichia coli O157 (O157) in faeces, playing a role in human exposure. We aimed to measure faecal microbial communities in early lactation dairy cattle, and model outcomes with O157 shedding metrics. METHODS AND RESULTS: Daily faecal samples were collected from 40 cattle on two Colorado dairies for five consecutive days, and characterized for O157. 16S rRNA gene sequencing was used to measure sample-level microbial communities. Alpha-diversity metrics were associated with O157 outcomes via regression modelling, adjusting for confounders. Differential abundance of taxa were identified between O157(+) and O157(-) samples and between shedding days of individuals, using matched Wilcoxon rank-sum tests, zero-inflated Gaussian (ZIG) regression and negative binomial regression. After removing an outlier, multi-day and intermittently shedding cows had lower average richness compared to those that never shed. ZIG modelling revealed Bacillus coagulans to be more abundant in O157(-) samples, while Moryella were more abundant in O157(+) samples. Negative binomial models and Wilcoxon tests revealed no differentially abundant taxa between O157(+) vs O157(-) samples, or between shedding days of individuals. CONCLUSIONS: Microbial diversity and some taxa may be influenced by or affect O157 shedding by dairy cattle. SIGNIFICANCE AND IMPACT OF THE STUDY: If future work corroborates these findings, dairy cow microbial community changes may be used to guide on-farm strategies that mitigate O157 dissemination, protecting the human food chain.
Authors: Panagiotis Sapountzis; Serafino Teseo; Saria Otani; Frank Møller Aarestrup; Evelyne Forano; Garett Suen; George Tsiamis; Bradd Haley; Jo Ann Van Kessel; Sharon A Huws Journal: Foodborne Pathog Dis Date: 2021-12-21 Impact factor: 3.788
Authors: Sharon A Huws; Christopher J Creevey; Linda B Oyama; Itzhak Mizrahi; Stuart E Denman; Milka Popova; Rafael Muñoz-Tamayo; Evelyne Forano; Sinead M Waters; Matthias Hess; Ilma Tapio; Hauke Smidt; Sophie J Krizsan; David R Yáñez-Ruiz; Alejandro Belanche; Leluo Guan; Robert J Gruninger; Tim A McAllister; C Jamie Newbold; Rainer Roehe; Richard J Dewhurst; Tim J Snelling; Mick Watson; Garret Suen; Elizabeth H Hart; Alison H Kingston-Smith; Nigel D Scollan; Rodolpho M do Prado; Eduardo J Pilau; Hilario C Mantovani; Graeme T Attwood; Joan E Edwards; Neil R McEwan; Steven Morrisson; Olga L Mayorga; Christopher Elliott; Diego P Morgavi Journal: Front Microbiol Date: 2018-09-25 Impact factor: 5.640