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Williamson JR, Callaway TR, Lourenco JM, Ryman VE. Characterization of rumen, fecal, and milk microbiota in lactating dairy cows. Front Microbiol 2022; 13:984119. [PMID: 36225385 PMCID: PMC9549371 DOI: 10.3389/fmicb.2022.984119] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
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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Liu K, Deng Z, Zhang L, Gu X, Liu G, Liu Y, Chen P, Gao J, Han B, Qu W. Biological Characteristics and Pathogenicity of Helcococcus ovis Isolated From Clinical Bovine Mastitis in a Chinese Dairy Herd. Front Vet Sci 2022; 8:756438. [PMID: 35224069 PMCID: PMC8874022 DOI: 10.3389/fvets.2021.756438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 12/29/2021] [Indexed: 12/28/2022] Open
Abstract
Helcococcus ovis (H. ovis) was first reported in ovine subclinical mastitis milk and post-mortem examination organs in Spain and the United Kingdom in 1999; subsequently, it appeared in cattle, horse, goat, and human. However, isolation and characterization of the pathogen from clinical bovine mastitis is unknown. The objective of this study was to identify the pathogen in clinical bovine mastitis. A total of four strains were isolated from bovine mastitis milk samples from a Chinese dairy farm, and they were identified as H. ovis by microscopic examination and 16S rRNA gene sequencing. Phylogenetic tree was constructed using 16S rRNA gene, and the isolates were closely related to other China strains and strains from Japan. The growth speed of the H. ovis isolated was relatively slower than Streptococcus agalactiae, and the phenotypic characteristics were similar to H. ovis CCUG37441 and CCUG39041 except to lactose. The isolates were sensitive to most of the common used antimicrobials. The H. ovis isolates could lead to mild murine mastitis alone and induce severe mastitis when co-infected with Trueperella pyogenes in the murine mammary infection model constructed.
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Affiliation(s)
- Kai Liu
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Zhaoju Deng
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Limei Zhang
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Xiaolong Gu
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Gang Liu
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yang Liu
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Peng Chen
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Jian Gao
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Bo Han
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Weijie Qu
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
- *Correspondence: Weijie Qu
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Ma T, Shen L, Wen Q, Lv R, Hou Q, Kwok LY, Sun Z, Zhang H. PacBio sequencing revealed variation in the microbiota diversity, species richness and composition between milk collected from healthy and mastitis cows. MICROBIOLOGY-SGM 2021; 167. [PMID: 34292863 DOI: 10.1099/mic.0.000968] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Mastitis is the economically most important disease of dairy cows. This study used PacBio single-molecule real-time sequencing technology to sequence the full-length 16S rRNAs from 27 milk samples (18 from mastitis and nine from healthy cows; the cows were at different stages of lactation). We observed that healthy or late stage milk microbiota had significantly higher microbial diversity and richness. The community composition of the microbiota of different groups also varied greatly. The healthy cow milk microbiota was predominantly comprised of Lactococcus lactis, Acinetobacter johnsonii, and Bacteroides dorei, while the milk from mastitis cows was predominantly comprised of Bacillus cereus. The prevalence of L. lactis and B. cereus in the milk samples was confirmed by digital droplets PCR. Differences in the milk microbiota diversity and composition could suggest an important role for some these microbes in protecting the host from mastitis while others associated with mastitis. The results of our research serve as useful references for designing strategies to prevent and treat mastitis.
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Affiliation(s)
- Teng Ma
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Lingling Shen
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Qiannan Wen
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Ruirui Lv
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Qiangchuan Hou
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Lai Yu Kwok
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Zhihong Sun
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Heping Zhang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Huhhot, PR China.,Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Huhhot, PR China
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Patel R, Kunjadia P, Koringa P, Joshi C, Kunjadiya A. Microbiological profiles in clinical and subclinical cases of mastitis in milking Jafarabadi buffalo. Res Vet Sci 2019; 125:94-99. [PMID: 31176264 DOI: 10.1016/j.rvsc.2019.05.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 04/16/2019] [Accepted: 05/21/2019] [Indexed: 11/17/2022]
Abstract
Mastitis is one of the important diseases affecting the dairy industry across the globe. Identification of bacterial pathogens associated with mastitis becomes essential in order to understand the etiology of disease which in turn will help to new strategies to control it. Microbial diversity analysis using pyrosequencing is widely studied for mastitis pathogens in dairy cows. However it is unexplored in case of buffalo. In the present study 16SrDNA gene pyrosequencing was used to characterize microbiota associated with clinical and subclinical mastitis in 28 Jafarabadi buffalo. The obtained sequencing data were analyzed by Quantitative Insights into Microbial Ecology (QIIME) and statistical analysis was done using Paleontological Statistics (PAST). Pyrosequencing produced 47.3 million base pairs reads. Phylogenetic profiles using ribosomal database revealed differences in abundance of Staphylococcus (25.95%, 10.09% and 0.03%), Enterococcus (10.80%, 8.72% and 0.36%), Escherichia (8.88%, 0.38% and 0.00%), Streptococcus (3.97%, 0.42% and 0.00%), Lactococcus (3.73%, 23.96% and 0.01%), and Ralstonia (0.54%, 12.72% and 0.00%), genera in clinical, subclinical and healthy samples, respectively. Different microbial profiles in clinical and subclinical mastitis in buffalo suggest the composition of bacteria in the milk is more diverse and complex hence single therapeutic regimes cannot be applied.
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Affiliation(s)
- Reena Patel
- Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology and Allied Sciences, New V. V. Nagar, 388121, Gujarat, India
| | - Prashant Kunjadia
- R & D Unit, Sat Kaival Hospital Pvt Ltd, Lambhvel, Anand, Gujarat, India
| | - Prakash Koringa
- Department of Animal Biotechnology, College of Veterinary Science and A. H., Anand Agricultural University, Anand 388001, Gujarat, India
| | - Chaitanya Joshi
- Department of Animal Biotechnology, College of Veterinary Science and A. H., Anand Agricultural University, Anand 388001, Gujarat, India
| | - Anju Kunjadiya
- Center for Interdisciplinary Studies in Science and Technology (CISST), Sardar Patel University, V. V. Nagar, Anand, Gujarat, India.
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Mao L, Chen Z, Lu Y, Yu J, Zhou Y, Lin Q, Luo Y, Sun Z. Helcococcus ovis in a patient with an artificial eye: a case report and literature review. BMC Infect Dis 2018; 18:401. [PMID: 30107836 PMCID: PMC6092862 DOI: 10.1186/s12879-018-3310-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 08/03/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Helcococcus ovis, belonging to the genus of Helcococcu in Peptostreptococcaceae, is one kind of facultative anaerobic and gram-positive cocci, which was first isolated from a mixed infection in sheep in 1999. To our knowledge, it's known as an invasive pathogen in animals, and never been reported as a human pathogen in published literature. The aims of this work are to describe the first report of H. ovis which was recovered from the artificial eye of human case and perform a literature review. CASE PRESENTATION A 26 year-old man reporting pyogenic infection with an artificial eye attended ophthalmic ward in Tongji hospital. After physical examination, clinical and laboratory investigations, the diagnosis of eye infection caused by Helcococcus ovis and Staphylococcus aureus was established. Receiving a medico-surgical approach, the patient was successfully treated. The treatment consisted in intravenous cefotaxime and ornidazole, levofloxacin eye drops during two weeks and removing of right artificial eye with debridement. CONCLUSIONS We describe here the first known case of H. ovis which was recovered from human artificial eye. This report different from previous data found in the literature emphasizes the invasive potential of this bacterial species as a pathogen in human. Prospectively, the application of next generation sequencing tools would contribute to a more accurate classification of clinical strains.
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Affiliation(s)
- Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhongju Chen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yanfang Lu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jing Yu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yu Zhou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Addis MF, Tanca A, Uzzau S, Oikonomou G, Bicalho RC, Moroni P. The bovine milk microbiota: insights and perspectives from -omics studies. MOLECULAR BIOSYSTEMS 2016; 12:2359-72. [DOI: 10.1039/c6mb00217j] [Citation(s) in RCA: 134] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Recent findings and future perspectives of -omics studies on the bovine milk microbiota, focusing on its impact on animal health.
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Affiliation(s)
- M. F. Addis
- Porto Conte Ricerche
- SP 55 Porto Conte/Capo Caccia
- 07041 Alghero
- Italy
| | - A. Tanca
- Porto Conte Ricerche
- SP 55 Porto Conte/Capo Caccia
- 07041 Alghero
- Italy
| | - S. Uzzau
- Porto Conte Ricerche
- SP 55 Porto Conte/Capo Caccia
- 07041 Alghero
- Italy
- Università degli Studi di Sassari
| | - G. Oikonomou
- Epidemiology and Population Health
- Institute of Infection and Global Health
- University of Liverpool
- Liverpool
- UK
| | - R. C. Bicalho
- Cornell University
- Department of Population Medicine and Diagnostic Sciences
- College of Veterinary Medicine
- Ithaca
- USA
| | - P. Moroni
- Cornell University
- Department of Population Medicine and Diagnostic Sciences
- College of Veterinary Medicine
- Ithaca
- USA
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Paterna A, Contreras A, Gómez-Martín A, Amores J, Tatay-Dualde J, Prats-van der Ham M, Corrales J, Sánchez A, De la Fe C. The diagnosis of mastitis and contagious agalactia in dairy goats. Small Rumin Res 2014. [DOI: 10.1016/j.smallrumres.2013.12.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Locatelli C, Scaccabarozzi L, Pisoni G, Bronzo V, Casula A, Testa F, Allodi S, Pollera C, Toni F, Moroni P. Helcococcus kunzii and Helcococcus ovis isolated in dairy cows with puerperal metritis. J GEN APPL MICROBIOL 2014; 59:371-4. [PMID: 24201149 DOI: 10.2323/jgam.59.371] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Clara Locatelli
- Università degli Studi di Milano, Department of Health, Animal Science and Food Safety
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9
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Pyörälä S. Letter to the editor: Comments on Schwaiger et al. (2012). J Dairy Sci 2012; 95:4185; author reply 4186-7. [PMID: 22818430 DOI: 10.3168/jds.2012-5516] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2012] [Accepted: 04/22/2012] [Indexed: 11/19/2022]
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10
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Oikonomou G, Machado VS, Santisteban C, Schukken YH, Bicalho RC. Microbial diversity of bovine mastitic milk as described by pyrosequencing of metagenomic 16s rDNA. PLoS One 2012; 7:e47671. [PMID: 23082192 PMCID: PMC3474744 DOI: 10.1371/journal.pone.0047671] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2012] [Accepted: 09/18/2012] [Indexed: 11/20/2022] Open
Abstract
Dairy cow mastitis is an important disease in the dairy industry. Different microbial species have been identified as causative agents in mastitis, and are traditionally diagnosed by bacterial culture. The objective of this study was to use metagenomic pyrosequencing of bacterial 16S rRNA genes to investigate bacterial DNA diversity in milk samples of mastitic and healthy dairy cows and compare the results with those obtained by classical bacterial culture. One hundred and thirty-six milk samples were collected from cows showing signs of mastitis and used for microbiological culture. Additionally, 20 milk samples were collected from healthy quarters. Bacterial DNA was isolated from the same milk samples and the 16S rRNA genes were individually amplified and pyrosequenced. Discriminant analysis showed that the groups of samples that were most clearly different from the rest and thus easily discriminated were the normal milk samples from healthy cows and those characterised by culture as Trueperella pyogenes and Streptococcus spp. The mastitis pathogens identified by culture were generally among the most frequent organisms detected by pyrosequencing, and in some cases (Escherichia coli, Klebsiella spp. and Streptococcus uberis mastitis) the single most prevalent microorganism. Trueperella pyogenes sequences were the second most prevalent sequences in mastitis cases diagnosed as Trueperella pyogenes by culture, Streptococcus dysgalactiae sequences were the second most prevalent sequences in mastitis cases diagnosed as Streptococcus dysgalactiae by culture, and Staphyloccocus aureus sequences were the third most prevalent in mastitis cases diagnosed as Staphylococcus aureus by culture. In samples that were aerobic culture negative, pyrosequencing identified DNA of bacteria that are known to cause mastitis, DNA of bacteria that are known pathogens but have so far not been associated with mastitis, and DNA of bacteria that are currently not known to be pathogens. A possible role of anaerobic pathogens in bovine mastitis is also suggested.
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Affiliation(s)
- Georgios Oikonomou
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Vinicius Silva Machado
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Carlos Santisteban
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Ynte Hein Schukken
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Rodrigo Carvalho Bicalho
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
- * E-mail:
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Schwaiger K, Wimmer M, Huber-Schlenstedt R, Fehlings K, Hölzel C, Bauer J. Letter to the editor: A response to the comments of. J Dairy Sci 2012. [DOI: 10.3168/jds.2012-5725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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