1
|
Juli MSB, Boe-Hansen GB, Raza A, Forutan M, Ong CT, Siddle HV, Tabor AE. A systematic review of predictive, diagnostic, and prognostic biomarkers for detecting reproductive diseases in cattle using traditional and omics approaches. J Reprod Immunol 2024; 165:104315. [PMID: 39154625 DOI: 10.1016/j.jri.2024.104315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 07/30/2024] [Accepted: 08/11/2024] [Indexed: 08/20/2024]
Abstract
Reproductive diseases and illnesses pose significant challenges in cattle farming, affecting fertility, milk production, and overall herd health. In recent years, the integration of various omics approaches, including transcriptomics, proteomics, metagenomics, miRNAomics, and metabolomics, has revolutionized the study of these conditions. This systematic review summarised the findings from studies that investigated reproductive disease biomarkers in both male and female cattle. After extracting 6137 studies according to exclusion and inclusion criteria, a total of 60 studies were included in this review. All studies identified were associated with female cattle and none were related to reproductive diseases in bulls. The analysis highlights specific biomarkers, metabolic pathways, and microbial compositions associated with bovine reproductive disease conditions, providing valuable insights into the underlying molecular mechanisms of disease. Pro-inflammatory cytokines such as IL-1β, IL-8, IL-4, IL-6, TNFα and acute-phase response proteins such as SAA and HP have been identified as promising biomarkers for bovine reproductive diseases. However, further research is needed to validate these markers clinically and to explore potential strategies for improving cow reproductive health. The role of bulls as carriers of venereal diseases has been underestimated in the current literature and therefore needs more attention to understand their impact on infectious reproductive diseases of female cattle.
Collapse
Affiliation(s)
- Mst Sogra Banu Juli
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia.
| | - Gry B Boe-Hansen
- The University of Queensland, School of Veterinary Science, Gatton, Queensland 4343, Australia.
| | - Ali Raza
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia.
| | - Mehrnush Forutan
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia.
| | - Chian Teng Ong
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia.
| | - Hannah V Siddle
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia.
| | - Ala E Tabor
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, Queensland 4067, Australia; The University of Queensland, School of Chemistry and Molecular Biosciences, St Lucia, Queensland 4072, Australia.
| |
Collapse
|
2
|
Medina JE, Castañeda S, Camargo M, Garcia-Corredor DJ, Muñoz M, Ramírez JD. Exploring viral diversity and metagenomics in livestock: insights into disease emergence and spillover risks in cattle. Vet Res Commun 2024; 48:2029-2049. [PMID: 38865041 DOI: 10.1007/s11259-024-10403-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/01/2024] [Indexed: 06/13/2024]
Abstract
Cattle have a significant impact on human societies in terms of both economics and health. Viral infections pose a relevant problem as they directly or indirectly disrupt the balance within cattle populations. This has negative consequences at the economic level for producers and territories, and also jeopardizes human health through the transmission of zoonotic diseases that can escalate into outbreaks or pandemics. To establish prevention strategies and control measures at various levels (animal, farm, region, or global), it is crucial to identify the viral agents present in animals. Various techniques, including virus isolation, serological tests, and molecular techniques like PCR, are typically employed for this purpose. However, these techniques have two major drawbacks: they are ineffective for non-culturable viruses, and they only detect a small fraction of the viruses present. In contrast, metagenomics offers a promising approach by providing a comprehensive and unbiased analysis for detecting all viruses in a given sample. It has the potential to identify rare or novel infectious agents promptly and establish a baseline of healthy animals. Nevertheless, the routine application of viral metagenomics for epidemiological surveillance and diagnostics faces challenges related to socioeconomic variables, such as resource availability and space dedicated to metagenomics, as well as the lack of standardized protocols and resulting heterogeneity in presenting results. This review aims to provide an overview of the current knowledge and prospects for using viral metagenomics to detect and identify viruses in cattle raised for livestock, while discussing the epidemiological and clinical implications.
Collapse
Affiliation(s)
- Julián Esteban Medina
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Sergio Castañeda
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Milena Camargo
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
- Centro de Tecnología en Salud (CETESA), Innovaseq SAS, Mosquera, Cundinamarca, Colombia
| | - Diego J Garcia-Corredor
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
- Grupo de Investigación en Medicina Veterinaria y Zootecnia, Facultad de Ciencias Agropecuarias, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia
| | - Marina Muñoz
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Juan David Ramírez
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
- Molecular Microbiology Laboratory, Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
3
|
Neujahr AC, Loy DS, Loy JD, Brodersen BW, Fernando SC. Rapid detection of high consequence and emerging viral pathogens in pigs. Front Vet Sci 2024; 11:1341783. [PMID: 38384961 PMCID: PMC10879307 DOI: 10.3389/fvets.2024.1341783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/15/2024] [Indexed: 02/23/2024] Open
Abstract
Introduction An increasing emergence of novel animal pathogens has been observed over the last decade. Viruses are a major contributor to the increased emergence and therefore, veterinary surveillance and testing procedures are greatly needed to rapidly and accurately detect high-consequence animal diseases such as Foot and Mouth Disease, Highly Pathogenic Avian Influenza, Classical Swine Fever, and African Swine Fever. The major detection methods for such diseases include real-time PCR assays and pathogen-specific antibodies among others. However, due to genetic drift or -shift in virus genomes, failure to detect such pathogens is a risk with devastating consequences. Additionally, the emergence of novel pathogens with no prior knowledge requires non-biased detection methods for discovery. Methods Utilizing enrichment techniques coupled with Oxford Nanopore Technologies MinION™ sequencing platform, we developed a sample processing and analysis pipeline to identify DNA and RNA viruses and bacterial pathogens from clinical samples. Results and discussion The sample processing and analysis pipeline developed allows the identification of both DNA and RNA viruses and bacterial pathogens simultaneously from a single tissue sample and provides results in less than 12 h. Preliminary evaluation of this method using surrogate viruses in different matrices and using clinical samples from animals with unknown disease causality, we demonstrate that this method can be used to simultaneously detect pathogens from multiple domains of life simultaneously with high confidence.
Collapse
Affiliation(s)
- Alison C. Neujahr
- Department of Complex Biosystems, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Duan S. Loy
- Nebraska Veterinary Diagnostic Center, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - John Dustin Loy
- Nebraska Veterinary Diagnostic Center, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Bruce W. Brodersen
- Nebraska Veterinary Diagnostic Center, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Samodha C. Fernando
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States
- Department of Food Science, University of Nebraska-Lincoln, Lincoln, NE, United States
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE, United States
| |
Collapse
|
4
|
Lin Y, Dai Y, Zhang S, Guo H, Yang L, Li J, Wang K, Ni M, Hu Z, Jia L, Liu H, Li P, Song H. Application of nanopore adaptive sequencing in pathogen detection of a patient with Chlamydia psittaci infection. Front Cell Infect Microbiol 2023; 13:1064317. [PMID: 36756615 PMCID: PMC9900021 DOI: 10.3389/fcimb.2023.1064317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/11/2023] [Indexed: 01/24/2023] Open
Abstract
Introduction Nanopore sequencing has been widely used in clinical metagenomic sequencing for pathogen detection with high portability and real-time sequencing. Oxford Nanopore Technologies has recently launched an adaptive sequencing function, which can enrich on-target reads through real-time alignment and eject uninteresting reads by reversing the voltage across the nanopore. Here we evaluated the utility of adaptive sequencing in clinical pathogen detection. Methods Nanopore adaptive sequencing and standard sequencing was performed on a same flow cell with a bronchoalveolar lavage fluid sample from a patient with Chlamydia psittacosis infection, and was compared with the previous mNGS results. Results Nanopore adaptive sequencing identified 648 on-target stop receiving reads with the longest median read length(688bp), which account for 72.4% of all Chlamydia psittaci reads and 0.03% of total reads in enriched group. The read proportion matched to C. psittaci in the stop receiving group was 99.85%, which was much higher than that of the unblock (<0.01%) and fail to adapt (0.02%) groups. Nanopore adaptive sequencing generated similar data yield of C. psittaci compared with standard nanopore sequencing. The proportion of C. psittaci reads in adaptive sequencing is close to that of standard nanopore sequencing and mNGS, but generated lower genome coverage than mNGS. Discussion Nanopore adaptive sequencing can effectively identify target C. psittaci reads in real-time, but how to increase the targeted data of pathogens still needs to be further evaluated.
Collapse
Affiliation(s)
- Yanfeng Lin
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China,Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Yan Dai
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Shuang Zhang
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China,Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Hao Guo
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Lang Yang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Jinhui Li
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Kaiying Wang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Ming Ni
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China,Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Zongqian Hu
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China,Beijing Institute of Radiation Medicine, Beijing, China
| | - Leili Jia
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Huiying Liu
- College of Pulmonary & Critical Care Medicine, 8th Medical Center, Chinese PLA General Hospital, Beijing, China,*Correspondence: Huiying Liu, ; Peng Li, ; Hongbin Song,
| | - Peng Li
- Chinese PLA Center for Disease Control and Prevention, Beijing, China,*Correspondence: Huiying Liu, ; Peng Li, ; Hongbin Song,
| | - Hongbin Song
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China,Chinese PLA Center for Disease Control and Prevention, Beijing, China,*Correspondence: Huiying Liu, ; Peng Li, ; Hongbin Song,
| |
Collapse
|
5
|
Huggins LG, Colella V, Atapattu U, Koehler AV, Traub RJ. Nanopore Sequencing Using the Full-Length 16S rRNA Gene for Detection of Blood-Borne Bacteria in Dogs Reveals a Novel Species of Hemotropic Mycoplasma. Microbiol Spectr 2022; 10:e0308822. [PMID: 36250862 PMCID: PMC9769565 DOI: 10.1128/spectrum.03088-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/26/2022] [Indexed: 01/09/2023] Open
Abstract
Dogs across the globe are afflicted by diverse blood- and vector-borne bacteria (VBB), many of which cause severe disease and can be fatal. Diagnosis of VBB infections can be challenging due to the low concentration of bacteria in the blood, the frequent occurrence of coinfections, and the wide range of known, emerging, and potentially novel VBB species encounterable. Therefore, there is a need for diagnostics that address these challenges by being both sensitive and capable of detecting all VBB simultaneously. We detail the first employment of a nanopore-based sequencing methodology conducted on the Oxford Nanopore Technologies (ONT) MinION device to accurately elucidate the "hemobacteriome" from canine blood through sequencing of the full-length 16S rRNA gene. We detected a diverse range of important canine VBB, including Ehrlichia canis, Anaplasma platys, Mycoplasma haemocanis, Bartonella clarridgeiae, "Candidatus Mycoplasma haematoparvum", a novel species of hemotropic mycoplasma, and Wolbachia endosymbionts of filarial worms, indicative of filariasis. Our nanopore-based protocol was equivalent in sensitivity to both quantitative PCR (qPCR) and Illumina sequencing when benchmarked against these methods, achieving high agreement as defined by the kappa statistics (k > 0.81) for three key VBB. Utilizing the ability of the ONT' MinION device to sequence long read lengths provides an excellent alternative diagnostic method by which the hemobacteriome can be accurately characterized to the species level in a way previously unachievable using short reads. We envision our method to be translatable to multiple contexts, such as the detection of VBB in other vertebrate hosts, including humans, while the small size of the MinION device is highly amenable to field use. IMPORTANCE Blood- and vector-borne bacteria (VBB) can cause severe pathology and even be lethal for dogs in many regions across the globe. Accurate characterization of all the bacterial pathogens infecting a canine host is critical, as coinfections are common and emerging and novel pathogens that may go undetected by traditional diagnostics frequently arise. Deep sequencing using devices from Oxford Nanopore Technologies (ONT) provides a solution, as the long read lengths achievable provide species-level taxonomic identification of pathogens that previous short-read technologies could not accomplish. We developed a protocol using ONT' MinION sequencer to accurately detect and classify a wide spectrum of VBB from canine blood at a sensitivity comparable to that of regularly used diagnostics, such as qPCR. This protocol demonstrates great potential for use in biosurveillance and biosecurity operations for the detection of VBB in a range of vertebrate hosts, while the MinION sequencer's portability allows this method to be used easily in the field.
Collapse
Affiliation(s)
- Lucas G. Huggins
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Vito Colella
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Ushani Atapattu
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Anson V. Koehler
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Rebecca J. Traub
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
6
|
Luecke SM, Webb EM, Dahlen CR, Reynolds LP, Amat S. Seminal and vagino-uterine microbiome and their individual and interactive effects on cattle fertility. Front Microbiol 2022; 13:1029128. [PMID: 36425035 PMCID: PMC9679222 DOI: 10.3389/fmicb.2022.1029128] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/19/2022] [Indexed: 09/13/2023] Open
Abstract
Reproductive failure is a major economical drain on cow-calf operations across the globe. It can occur in both males and females and stem from prenatal and postnatal influences. Therefore, the cattle industry has been making efforts to improve fertility and the pregnancy rate in cattle herds as an attempt to maintain sustainability and profitability of cattle production. Despite the advancements made in genetic selection, nutrition, and the implementation of various reproductive technologies, fertility rates have not significantly improved in the past 50 years. This signifies a missing factor or factors in current reproductive management practices that influence successful fertilization and pregnancy. Emerging lines of evidence derived from human and other animals including cattle suggest that the microbial continuum along the male and female reproductive tracts are associated with male and female fertility-that is, fertilization, implantation, and pregnancy success-highlighting the potential for harnessing the male and female reproductive microbiome to improve fertility in cattle. The objective of this narrative review is to provide an overview of the recent studies on the bovine seminal and vagino-uterine microbiome and discuss individual and interactive roles of these microbial communities in defining cattle fertility.
Collapse
Affiliation(s)
- Sarah M. Luecke
- Department of Microbiological Sciences, North Dakota State University, Fargo, ND, United States
| | - Emily M. Webb
- Department of Microbiological Sciences, North Dakota State University, Fargo, ND, United States
| | - Carl R. Dahlen
- Department of Animal Sciences, and Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND, United States
| | - Lawrence P. Reynolds
- Department of Animal Sciences, and Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND, United States
| | - Samat Amat
- Department of Microbiological Sciences, North Dakota State University, Fargo, ND, United States
| |
Collapse
|
7
|
Ong CT, Ross EM, Boe-Hansen G, Turni C, Hayes BJ, Fordyce G, Tabor AE. Adaptive sampling during sequencing reveals the origins of the bovine reproductive tract microbiome across reproductive stages and sexes. Sci Rep 2022; 12:15075. [PMID: 36065055 PMCID: PMC9445037 DOI: 10.1038/s41598-022-19022-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/23/2022] [Indexed: 11/30/2022] Open
Abstract
Cattle enterprises are one of the major livestock production systems globally and are forecasted to have stable growth in the next decade. To facilitate sustainable live weight production, optimal reproductive performance is essential. Microbial colonisation in the reproductive tract has been demonstrated as one of the factors contributing to bovine reproductive performance. Studies also implied that reproductive metagenomes are different at each stage of the estrous cycle. This study applied Oxford Nanopore Technologies’ adaptive long-read sequencing to profile the bovine reproductive microbiome collected from tropical cattle in northern Queensland, Australia. The microbiome samples were collected from cattle of different sexes, reproductive status and locations to provide a comprehensive view of the bovine reproductive microbiome in northern Australian cattle. Ascomycota, Firmicutes and Proteobacteria were abundant phyla identified in the bovine reproductive metagenomes of Australian cattle regardless of sexes, reproductive status and location. The species level taxonomical investigation suggested that gastrointestinal metagenome and the surrounding environment were potentially the origins of the bovine reproductive metagenome. Functional profiles further affirmed this implication, revealing that the reproductive metagenomes of the prepubertal and postpartum animals were dominated by microorganisms that catabolise dietary polysaccharides as an energy substrate while that of the pregnant animals had the function of harvesting energy from aromatic compounds. Bovine reproductive metagenome investigations can be employed to trace the origins of abnormal metagenomes, which is beneficial for disease prevention and control. Additionally, our results demonstrated different reproductive metagenome diversities between cattle from two different locations. The variation in diversity within one location can serve as the indicator of abnormal reproductive metagenome, but between locations inferences cannot be made. We suggest establishing localised metagenomic indices that can be used to infer abnormal reproductive metagenomes which contribute to abortion or sub-fertility.
Collapse
Affiliation(s)
- Chian Teng Ong
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia.
| | - Elizabeth M Ross
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Gry Boe-Hansen
- Faculty of Science, School of Veterinary Science, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Conny Turni
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Geoffry Fordyce
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Ala E Tabor
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, Brisbane, QLD, 4072, Australia. .,Faculty of Science, School of Chemistry and Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
| |
Collapse
|
8
|
Hoque MN, Rahman MS, Islam T, Sultana M, Crandall KA, Hossain MA. Induction of mastitis by cow-to-mouse fecal and milk microbiota transplantation causes microbiome dysbiosis and genomic functional perturbation in mice. Anim Microbiome 2022; 4:43. [PMID: 35794639 PMCID: PMC9258091 DOI: 10.1186/s42523-022-00193-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 06/28/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mastitis pathogenesis involves a wide range of opportunistic and apparently resident microorganims including bacteria, viruses and archaea. In dairy animals, microbes reside in the host, interact with environment and evade the host immune system, providing a potential for host-tropism to favor mastitis pathogenesis. To understand the host-tropism phenomena of bovine-tropic mastitis microbiomes, we developed a cow-to-mouse mastitis model. METHODS A cow-to-mouse mastitis model was established by fecal microbiota transplantation (FMT) and milk microbiota transplantation (MMT) to pregnant mice to assess microbiome dysbiosis and genomic functional perturbations through shotgun whole metagenome sequencing (WMS) along with histopathological changes in mice mammary gland and colon tissues. RESULTS The cow-to-mouse FMT and MMT from clinical mastitis (CM) cows induced mastitis syndromes in mice as evidenced by histopathological changes in mammary gland and colon tissues. The WMS of 24 samples including six milk (CM = 3, healthy; H = 3), six fecal (CM = 4, H = 2) samples from cows, and six fecal (CM = 4, H = 2) and six mammary tissue (CM = 3, H = 3) samples from mice generating 517.14 million reads (average: 21.55 million reads/sample) mapped to 2191 bacterial, 94 viral and 54 archaeal genomes. The Kruskal-Wallis test revealed significant differences (p = 0.009) in diversity, composition, and relative abundances in microbiomes between CM- and H-metagenomes. These differences in microbiome composition were mostly represented by Pseudomonas aeruginosa, Lactobacillus crispatus, Klebsiella oxytoca, Enterococcus faecalis, Pantoea dispersa in CM-cows (feces and milk), and Muribaculum spp., Duncaniella spp., Muribaculum intestinale, Bifidobacterium animalis, Escherichia coli, Staphylococcus aureus, Massilia oculi, Ralstonia pickettii in CM-mice (feces and mammary tissues). Different species of Clostridia, Bacteroida, Actinobacteria, Flavobacteriia and Betaproteobacteria had a strong co-occurrence and positive correlation as the indicator species of murine mastitis. However, both CM cows and mice shared few mastitis-associated microbial taxa (1.14%) and functional pathways regardless of conservation of mastitis syndromes, indicating the higher discrepancy in mastitis-associated microbiomes among lactating mammals. CONCLUSIONS We successfully induced mastitis by FMT and MMT that resulted in microbiome dysbiosis and genomic functional perturbations in mice. This study induced mastitis in a mouse model through FMT and MMT, which might be useful for further studies- focused on pathogen(s) involved in mastitis, their cross-talk among themselves and the host.
Collapse
Affiliation(s)
- M Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, 1706, Bangladesh
| | - M Shaminur Rahman
- Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), BSMRAU, Gazipur, 1706, Bangladesh
| | - Munawar Sultana
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Keith A Crandall
- Computational Biology Institute and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - M Anwar Hossain
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
- Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
| |
Collapse
|