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Subclinical mastitis in dairy cows in south-Asian countries: a review of risk factors and etiology to prioritize control measures. Vet Res Commun 2022; 46:621-640. [PMID: 35701569 DOI: 10.1007/s11259-022-09948-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/30/2022] [Indexed: 10/18/2022]
Abstract
Mastitis is a major production disease, causing significant economic losses for dairy farmers in South-Asian countries, as well as other parts of the world. Udder health control programs (UHCP) have been established in developed countries as an effective strategy for mastitis control but have not yet been introduced in South-Asian low-income countries like Bangladesh, India, Pakistan, and Sri Lanka. To launch UHCP successfully in dairy herds in South-Asia, it is important to know the current prevalence and risk factors for subclinical mastitis (SCM). Therefore, a narrative literature review was conducted with the aim to describe the dairy sector, the prevalence of SCM and its causal agents, risk factors for mastitis occurrence and the control measures suggested by different studies conducted in the selected countries. The literature revealed that India had the highest cattle population. Milking was mainly done by hand in all of the studied countries. Stall feeding was done in Bangladesh and Sri Lanka and limited access to grazing was also reported in some farms in India and Pakistan. There was substantial variation in the prevalence of SCM between studies in all 4 countries, ranging from about 20% to about 80%, but the average prevalence across all studies was high (50%). The most common causal agents for SCM were non-aureus staphylococci (NAS), Staphylococcus (S.) aureus, Streptococcus spp. and Escherichia (E.) coli. The management related risk factors reported for SCM were stall feeding of cows, a higher stock density, cracked floors, open drains, the presence of flies, poor drainage, peri-parturient diseases, infrequent dung removal and earth floors. The control measures suggested in these studies were to improve the hygiene and sanitation of cows, to improve the cleanliness of farms and milker's hands, to apply dry cow therapy, supplementing micronutrients and routine screening for SCM combined with taking intervention measures like isolation of cows or milking infected cows last, and proper treatment. Also, full hand milking, complete milking, machine milking, and providing feed and water immediately after milking have been recommended. Finally, we show that current literature often studies the same set of (non-manageable) risk factors, so more research is needed to obtain a comprehensive picture of the determinants of SCM. Randomized controlled trials are needed to truly quantify the effect of intervention under field conditions. Altogether, our work gives an overview of the udder health situation in South-Asia and provides the basis for the design of UHCP in this region.
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Jaiswal S, Jagannadham J, Kumari J, Iquebal MA, Gurjar AKS, Nayan V, Angadi UB, Kumar S, Kumar R, Datta TK, Rai A, Kumar D. Genome Wide Prediction, Mapping and Development of Genomic Resources of Mastitis Associated Genes in Water Buffalo. Front Vet Sci 2021; 8:593871. [PMID: 34222390 PMCID: PMC8253262 DOI: 10.3389/fvets.2021.593871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 04/30/2021] [Indexed: 12/16/2022] Open
Abstract
Water buffalo (Bubalus bubalis) are an important animal resource that contributes milk, meat, leather, dairy products, and power for plowing and transport. However, mastitis, a bacterial disease affecting milk production and reproduction efficiency, is most prevalent in populations having intensive selection for higher milk yield, especially where the inbreeding level is also high. Climate change and poor hygiene management practices further complicate the issue. The management of this disease faces major challenges, like antibiotic resistance, maximum residue level, horizontal gene transfer, and limited success in resistance breeding. Bovine mastitis genome wide association studies have had limited success due to breed differences, sample sizes, and minor allele frequency, lowering the power to detect the diseases associated with SNPs. In this work, we focused on the application of targeted gene panels (TGPs) in screening for candidate gene association analysis, and how this approach overcomes the limitation of genome wide association studies. This work will facilitate the targeted sequencing of buffalo genomic regions with high depth coverage required to mine the extremely rare variants potentially associated with buffalo mastitis. Although the whole genome assembly of water buffalo is available, neither mastitis genes are predicted nor TGP in the form of web-genomic resources are available for future variant mining and association studies. Out of the 129 mastitis associated genes of cattle, 101 were completely mapped on the buffalo genome to make TGP. This further helped in identifying rare variants in water buffalo. Eighty-five genes were validated in the buffalo gene expression atlas, with the RNA-Seq data of 50 tissues. The functions of 97 genes were predicted, revealing 225 pathways. The mastitis proteins were used for protein-protein interaction network analysis to obtain additional cross-talking proteins. A total of 1,306 SNPs and 152 indels were identified from 101 genes. Water Buffalo-MSTdb was developed with 3-tier architecture to retrieve mastitis associated genes having genomic coordinates with chromosomal details for TGP sequencing for mining of minor alleles for further association studies. Lastly, a web-genomic resource was made available to mine variants of targeted gene panels in buffalo for mastitis resistance breeding in an endeavor to ensure improved productivity and the reproductive efficiency of water buffalo.
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Affiliation(s)
- Sarika Jaiswal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Jaisri Jagannadham
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Juli Kumari
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anoop Kishor Singh Gurjar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Varij Nayan
- Indian Council of Agricultural Research (ICAR)-Central Institute for Research on Buffaloes, Hisar, India
| | - Ulavappa B Angadi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sunil Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rakesh Kumar
- Animal Biotechnology Centre, Indian Council of Agricultural Research (ICAR)-National Dairy research Institute, Karnal, India
| | - Tirtha Kumar Datta
- Animal Biotechnology Centre, Indian Council of Agricultural Research (ICAR)-National Dairy research Institute, Karnal, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
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Dawod B, Haidl ID, Azad MB, Marshall JS. Toll-like receptor 2 impacts the development of oral tolerance in mouse pups via a milk-dependent mechanism. J Allergy Clin Immunol 2020; 146:631-641.e8. [DOI: 10.1016/j.jaci.2020.01.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/05/2020] [Accepted: 01/30/2020] [Indexed: 12/31/2022]
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Ruiz-Rodriguez CT, Brandt JR, Oliverio R, Ishida Y, Guedj N, Garrett EF, Kahila Bar-Gal G, Nikolaidis N, Cardoso FC, Roca AL. Polymorphisms of the Toll-Like Receptor 2 of Goats (Capra hircus) may be Associated with Somatic Cell Count in Milk. Anim Biotechnol 2016; 28:112-119. [PMID: 27791476 DOI: 10.1080/10495398.2016.1232267] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Toll-like receptor 2 (TLR2) plays an important role in recognition by the innate immune system of Gram-positive bacteria. As Gram-positive bacteria cause mastitis, we examined variations in the region of the TLR2 gene that codes for the extracellular domain. Samples of forty goats from a single dairy herd were collected, half with low SCC (≤200,000 cells/mL), and half with higher SCC. Two synonymous single nucleotide polymorphisms (SNPs) were identified: 840G > A and 1083A > G. One nonsynonymous SNP 739G > A was identified. This coded for valine or isoleucine, which have similar physiochemical properties, and was not in a region coding for a known functional domain. Surprisingly, the least square mean SCC of the heterozygous goats (146,220) was significantly lower than the SCC of homozygous GG goats (537,700; p = 0.004), although these two groups were similar in days in milk (p = 0.984), and there was no significant difference by breed (p = 0.941). Because factors other than mastitis can affect SCC and our sample sizes were limited, additional studies are needed to corroborate an association between TLR2 genotype and SCC or mastitis in goats.
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Affiliation(s)
| | - Jessica R Brandt
- a Department of Animal Sciences , University of Illinois at Urbana-Champaign , Urbana , Illinois , USA
| | - Ryan Oliverio
- b Department of Biological Science, Center for Applied Biotechnology Studies , California State University , Fullerton , California , USA.,c Center for Computational and Applied Mathematics, California State University , Fullerton , California , USA
| | - Yasuko Ishida
- a Department of Animal Sciences , University of Illinois at Urbana-Champaign , Urbana , Illinois , USA
| | - Noa Guedj
- d Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem , Rehovot , Israel
| | - Edgar F Garrett
- e Department of Veterinary Clinical Medicine , University of Illinois at Urbana-Champaign , Urbana , Illinois , USA
| | - Gila Kahila Bar-Gal
- d Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem , Rehovot , Israel
| | - Nikolas Nikolaidis
- b Department of Biological Science, Center for Applied Biotechnology Studies , California State University , Fullerton , California , USA.,c Center for Computational and Applied Mathematics, California State University , Fullerton , California , USA
| | - Felipe C Cardoso
- a Department of Animal Sciences , University of Illinois at Urbana-Champaign , Urbana , Illinois , USA
| | - Alfred L Roca
- a Department of Animal Sciences , University of Illinois at Urbana-Champaign , Urbana , Illinois , USA.,f Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign , Urbana , Illinois , USA
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