Abstract
This study described the occurrence of clinical and subclinical forms of mastitis in 250 cattle from 5 dairy farms around the cities of Santa Rosa and Machala, El Oro Province, Ecuador. Clinical mastitis (CM) was determined based on obvious changes in milk (mild), signs of inflammation in the udder (moderate), and/or generalized clinical symptoms (severe). Subclinical mastitis (SCM) was assessed using the California mastitis test. CM and SCM were detected in 30 (12.0%) and 150 (60%) of the 250 tested cattle, respectively. Prevalence at the udder quarter level was 57.7% (577/1,000), which was higher among forequarters (369/577; 63.9%) than hindquarters. Of the 577 mastitic milk samples subjected to microbiological analysis, 35 were excluded due to contamination and 20 tested negative. Identification of bacterial isolates revealed that 33.3% of the 93 CM samples contained coliforms, 25.8% coagulase-positive staphylococci, 20.4% coagulase-negative staphylococci (CNS), 9.7% streptococci, 7.5% Bacillus spp., and 3.2% Klebsiella spp. Bacterial profiling of the 429 SCM milk samples showed that 55.4% contained CNS, 22.1% Bacillus spp., 9.3% streptococci, and 6.1% coagulase-positive staphylococci. In vitro antibiotic susceptibility testing of the obtained isolates indicated that all were susceptible to amoxicillin, ampicillin, cefotaxime, enrofloxacin, sulfamethoxazole-trimethoprim, gentamicin, and neomycin. No multidrug-resistant strains were observed.
Keywords: Bacillus spp., Ecuador, mastitis, staphylococci, streptococci
Mastitis in livestock originates as a reaction of udder tissues to microbial infection or chemical, thermal, or mechanical injury. This disease negatively affects the animal’s condition and decreases productivity and milk quality [49], in addition to potential public health challenge. Mastitis results in substantial economic losses, either directly due to low production and early culling of affected animals, or indirectly owing to the cost of treatment and/or veterinary consultations [20, 21]. Furthermore, clinical mastitis (CM) is a serious animal welfare issue, since it is associated with pain and reduced well-being [30]. Subclinical mastitis (SCM) is the main form of this disease in dairy herds worldwide [1, 29, 38, 43, 47], and results in increased numbers of somatic cells in the produced milk and changes in its physical and chemical qualities [32].
A vast range of microorganisms can cause mastitis in cattle, with the major pathogens historically responsible for the majority of cases being Staphylococcus (Sta.) aureus, Streptococcus (Str.) agalactiae, Str. uberis, Str. dysgalactiae and Escherichia (E.) coli [45]. However, the ‘minor’ pathogens, including coagulase-negative staphylococci (CNS) and various bacilli have attracted increasing attention [41]. It is well established that CNS and a great variety of Bacillus spp. are present in different environmental compartments [40], resulting in the coining of the term ‘environmental’ mastitis, opposing the ‘contagious’ form, mainly caused by the major mastitis pathogens, particularly Sta. aureus and Str. agalactiae. A change in mastitis etiology, from contagious to environmental, is apparent in many countries, accompanied by reductions in the efficiency of traditional mastitis control programs [42]. The distribution of mastitis pathogen strains differs within individual animals in a herd, and between herds, countries, and host species.
Antimicrobial therapy is the most reliable approach to the treatment of mastitis in dairy cattle and the maintenance of animal health and welfare. Effective treatment of bovine mastitis depends on the antimicrobial susceptibility of the causative agent, the disease’s clinical manifestation, the cattle breed, and the treatment regimen [3]. The emergence of drug resistance is a serious challenge for mastitis control. As resistance profiles are often herd specific [51], the choice of treatment protocol should be based on knowledge of the antimicrobial sensitivity of the strain(s) implicated. Combining more than one of synergistic antimicrobial agents may be more effective than using a single drug, and can achieve a high cure rate [27]. Immunotherapy using beads carrying antibodies directed against the causative agent(s), facilitating microbial clearance via phagocytosis, is a newly developed and increasingly adopted approach [28].
Ecuador is an upper middle-income country that promotes animal farming, especially that involving small to medium herds. Importantly, small and medium dairy herds can sustain the development process in low- and middle-income countries [18]. However, very little is known on the incidence and etiology of bovine mastitis in Ecuador. Therefore, the present study was designed to determine prevalence of mastitis in dairy cattle in El Oro Province, Ecuador, and the identity and antimicrobial susceptibility of the causative bacteria.
MATERIALS AND METHODS
Ethical statement
This study was approved by the Institutional Committee of Research of the Universidad Tecnica de Machala (UTMACH), Ecuador. In addition, prior written consent was given by the farm owners before sampling. No experiments were conducted on the animals tested.
Study farms
A total of 250 dairy cattle from 5 farms located around the cities of Santa Rosa and Machala, El Oro Province, Ecuador, were included in the present study (Table 1). The animals were a mixed breed (Holstein Friesian and Brown Swiss). All lactating cows, except those having received antibiotics in the 3 days before sampling, were included in the study. The cows in the farms under investigation differed greatly in age, number of milking days, number of calves, and milk yield.
Table 1. Distribution of farms and animals sampled in the present study.
Farm | Location | Breed | Herd size | No. of sampled animals | CMc) (%) | SCMd) (%) |
---|---|---|---|---|---|---|
1 | Santa Ines | BS/HFa) | 50 | 27 | 2 (7.4) | 8 (29.6) |
2 | Santa Ines | BS/HF | 50 | 31 | 7 (22.6) | 20 (64.5) |
3 | Santa Rosa | BS/HF, J/Bb) | 165 | 105 | 14 (13.3) | 60 (57.1) |
4 | Santa Rosa | BS/HF | 100 | 58 | 5 (8.6) | 45 (77.6) |
5 | Santa Rosa | BS/HF | 50 | 29 | 2 (6.9) | 17 (58.6) |
a) BS/HF=Brown Swiss × Holstein, b) J/B=Jersey × Brahman, c) CM=Clinical mastitis, d) SCM=Subclinical mastitis.
Collection of samples
Cases of CM were determined based on obvious changes in milk (mild), signs of inflammation in the udder (moderate), and/or generalized clinical symptoms (severe). Signs of udder inflammation included hotness, redness, hardness of one or more quarters, and a strong pain reaction upon palpation. Generalized clinical symptoms comprised severe udder inflammation accompanied by high temperature and loss of appetite. SCM cases were defined as those without obvious clinical signs and with a high somatic cell count, as determined using the California mastitis test (CMT) [4]. CMT reagent (Milktest, Arthur Schopf Hygiene GmbH & Co. KG, Neubeuern, Germany) was mixed with an equal volume (2 ml) of milk in a four-well paddle for 10 sec, and the results were recorded within 20 sec. CMT results were interpreted using a scoring system ranging from 0 to 4:0 for no reaction, 1 for trace, 2 for weakly positive, 3 for distinctly positive, and 4 for strongly positive. Milk samples from individual mastitic quarters were aseptically collected for bacteriological assays from CM and SCM (CMT score of 3 or 4) cases, as described previously [22, 23]. Briefly, the udder was washed clean and dried using disposable tissue. After discarding the first 5 to 7 streams of milk, the teat ends were disinfected with cotton swabs soaked in 70% alcohol, allowed to dry and 5–10 ml of milk were collected in sterile numbered screw-cap tubes. The milk samples were transported in an ice box at 4°C to the microbiology laboratory at UTMACH.
Culture and isolation of bacteria
Milk samples from CM and SCM cases were analyzed microbiologically using standard laboratory methods [22]. A loopful of milk was inoculated onto blood agar (agar-based medium enriched with 5% sterile sheep blood) and MacConkey agar plates (Difco, Detroit, MI, U.S.A.), and incubated aerobically at 37°C for 24 to 48 hr. Culture plates on which 3 or more colony types grew were considered contaminated and excluded. Subcultures were made to obtain pure isolates for morphological, biochemical, and molecular identification [48]. Gram-positive cocci were identified by tests of α- and β-hemolysis, growth on mannitol salt agar (Difco), catalase activity, and coagulase production (positive or negative) using rabbit plasma [6]. Identification of Bacillus spp. was confirmed by Gram staining [39]. Gram-negative bacteria were identified based on growth on MacConkey agar, motility, and indole and oxidase tests.
For molecular identification, subcultures of a number of representatives of each bacterial type were grown in lysogeny broth at 37°C for 24 hr, centrifuged at 3,000 rpm for 5 min, washed three times with cold sterile phosphate-buffered saline (PBS) (pH 7.2), and fixed in 95% ethanol.
DNA extraction and polymerase chain reaction (PCR) analysis
Individual bacterial pellets fixed in ethanol were washed thoroughly with PBS, and genomic DNA was extracted using a NucleoSpin® Tissue kit (MACHEREY-NAGEL GmbH & Co. KG, Düren, Germany). The 16S rRNA gene was amplified as described by Lane [26], using the primer set BACT8f (5′-AGAGTTTGATCCTGGCTCAG-3′) and BACT1492r (5′-ACGGTTACCTTGTTACGACTT-3′). The volume of each PCR was 25 µl, including 12.5 µl of EmeraldAmp® PCR Master Mix (2× premix) [Takara Biotechnology (Dalian) Co., Ltd., Dalian, China], 1 µl of genomic DNA, 0.75 µl (0.3 µM final concentration) of each primer, and 10 µl of sterile molecular biology-grade H2O. PCR conditions consisted of an initial denaturation step at 94°C for 5 min, followed by 30 cycles of denaturation at 94°C for 30 sec, annealing at 55°C for 30 sec, and extension at 72°C for 2 min, before a final extension step at 72°C for 7 min. Aliquots (5 µl) of the PCR products were electrophoresed on 1% agarose gels and stained with ethidium bromide for visualization.
DNA sequence analyses
PCR products were directly sequenced using BigDye® Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, U.S.A.) and an ABI 3130xl Genetic Analyzer (Applied Biosystems). Sequences were assembled using ChromasPro software (version 1.5) (http://www.technelysium.com.au/ChromasPro.html), before being aligned with each other and reference sequences from database (NCBI) using ClustalX (http://www.clustal.org/). The phylogenetic tree was constructed using the maximum likelihood method, as implemented in MEGA6.06 (http://www.megasoftware.net). The robustness of the tree was assessed with 1,000 bootstrap replicates. Unique sequences were submitted to GenBank/the DNA Data Bank of Japan under accession numbers LC317286-LC317315.
In vitro antibiotic susceptibility test
Antimicrobial susceptibility was evaluated using the Kirby-Bauer method. Briefly, representative strains (75 CNS, 75 Bacillus spp., 25 coagulase-positive staphylococci, 25 streptococci and 25 coliforms) of the isolated bacteria were spread on Mueller-Hinton agar plates (Difco), and their susceptibility to the following antibiotics (Oxoid, Basingstoke, U.K.) was tested: amoxicillin (10 µg/disc), amoxicillin/clavulanic acid (2:1) (AMC; 30 µg/disc), ampicillin (AMP; 10 µg/disc), cefotaxime (CTX; 30 µg/disc), enrofloxacin (ENR; 5 µg/disc), gentamicin (GEN; 30 µg/disc), neomycin (NEO; 30 µg/disc), penicillin G (PEN; 10 units/disc), streptomycin (STR; 10 µg/disc), sulfamethoxazole/trimethoprim (SXT; 25 µg/disc) and tetracycline (TET; 30 µg/disc). Zones of inhibition (in mm) were measured after approximately 18 hr of incubation at 37°C, and the results were interpreted following Clinical and Laboratory Standards Institute [13] tables. The results are expressed in terms of susceptibility and resistance, with the number of susceptible isolates out of the total number tested being given.
RESULTS
Prevalence of mastitis
Cattle with CM and SCM were observed at all of the farms included in this study. The prevalence of moderate CM was found to be 11.6% (29/250). The milk samples taken from the affected udder quarters of these animals consisted of serous fluid or contained blood. Severe CM was seen in one animal (0.4%), which had a gangrenous form and died within one week of detection. SCM was detected in 150/250 (60%) cattle. Prevalence at the level of udder quarters was 57.7% (577/1,000), and was higher among forequarters (369/577; 63.9%) than hindquarters.
Microbiological results
A total of 577 milk samples from mastitic quarters were subjected to microbiological analysis. Of these samples, 35 were excluded due to contamination and 20 resulted in no growth. Identification of bacteria isolated from the 93 CM samples indicated the presence of coliforms (33.3%, 31/93), coagulase-positive staphylococci (25.8%, 24/93), CNS (20.4%, 19/93), streptococci (9.7%, 9/93), Bacillus spp. (7.5%, 7/93) and Klebsiella spp. (3.2%, 3/93).
Bacteria in SCM samples were identified as CNS (55.4%, 238/429), Bacillus spp. (22.1%, 95/429), streptococci (9.3%, 40/429) and coagulase-positive staphylococci (6.1%, 26/429). Micrococcus spp., coliforms, and Nocardia nova were detected in a small number of cases (14/429, 3.3%; 11/429, 2.6%; and 5/429, 1.2%, respectively).
Genotyping
Analysis of the PCR-amplified 16S rRNA gene sequences from representative CM samples identified the coliform bacteria present as E. coli, the coagulase-positive staphylococci as Sta. aureus, the CNS as Sta. epidermidis, Sta. haemolyticus, and Sta. chromogenes, the streptococci as Str. uberis and Str. dysgalactiae, and the Bacillus isolates as B. cereus. Analysis of bacteria from the SCM samples indicated that the CNS species present included Sta. epidermidis, Sta. haemolyticus, Sta. sciuri, Sta. arlettae, Sta. hominis, Sta. agnetis, and Sta. chromogenes. Moreover, the Bacillus species were identified as B. cereus, B. licheniformis, and B. subtilis, the coagulase-positive staphylococci as Sta. aureus, and the coliforms as E. coli. In addition, the streptococci were found to include Str. uberis, Str. agalactiae, and Str. dysgalactiae. The Micrococcus isolates were classified as M. luteus. In the phylogeny generated, the sequences of the isolated bacteria clustered with those of corresponding taxa from the database (Fig. 1).
Antimicrobial susceptibility assay
In vitro antibiotic susceptibility tests of the isolated strains indicated that they were susceptible to AMC, AMP, CTX, ENR, SXT, GEN and NEO. However, PEN was ineffective against all Bacillus spp. and coliform isolates, and effective against 23/75 CNS and 8/25 coagulase-positive staphylococci. Concerning STR, 53/75 CNS, 22/75 Bacillus spp., 16/25 coagulase-positive staphylococci, 25/25 streptococci, and 8/25 coliforms were susceptible. TET susceptibility was noted in 68/75 CNS, 52/75 Bacillus spp., 17/25 coagulase-positive staphylococci, and 25/25 streptococci and coliforms. All the bacterial isolates were susceptible to one or more antibiotics; thus, no multidrug-resistant strains were isolated in this study. In addition, no difference was evident between CM and SCM cases in terms of the antimicrobial susceptibility patterns of the isolated bacteria.
DISCUSSION
Small and medium dairy herds predominate in the livestock industries of low- and middle-income countries [18], representing an important contribution to their economies. In the present investigation of cattle in El Oro Province, Ecuador, both CM and SCM were observed at each of the 5 dairy farms involved. The overall prevalence of CM was found to be 12.0% (30/250). Similar figures have been reported for CM among dairy cattle in India (11.5%) [7] and Ethiopia (12.5%) [60], although its prevalence among dairy cattle in China is estimated to be lower (3.3%) [19]. The frequency of bacterial species isolated from the CM cases indicated the occurrence of environmental (E. coli, CNS species including Sta. epidermidis, Sta. haemolyticus, and Sta. chromogenes, streptococci including Str. uberis and Str. dysgalactiae, and B. cereus) and contagious (Sta. aureus) forms. However, pathogens associated with environmental mastitis were more dominant. Consistent with this, the most common pathogens detected in a survey of CM cases in China were E. coli, Klebsiella spp., CNS, Str. dysgalactiae, and Sta. aureus [19], and environmental bacteria including CNS, Str. uberis, and Str. agalactiae have been found to be common pathogens in dairy cattle in Brazil [36]. Moreover, CNS species such as Sta. chromogenes, Sta. epidermidis, and Sta. haemolyticus were frequently isolated in a study of CM among Canadian cows [15]. In partial agreement with the present results, E. coli was identified as the most prevalent pathogen associated with CM in Wisconsin, U.S.A., followed by environmental streptococci, Klebsiella spp. and CNS [37]. Furthermore, a survey of dairy farms in England and Wales revealed strains of Str. uberis and E. coli to be the most common bacteria encountered in cases of CM [5]. However, it has been reported that Sta. aureus predominates in clinical cases in India and Ethiopia [7, 50].
In the present investigation, 60% (150/250) of the cattle tested had SCM. In general agreement with this finding, the prevalence of SCM has been estimated to be 36.7% in Poland [54], 46.4% in Brazil [12], 48.8% in Tanzania [53] and 50.4% in Rwanda [34]. The prevalence of intramammary infection tends to differ greatly from farm to farm and country to country [10, 11, 14, 29, 56]. Discrepancies in the incidence of mastitis may be attributed to differences in animal breeds, management systems, and/or husbandry. Identification of the bacteria isolated from SCM cases indicated that the main pathogenic species were CNS (55.4%). This group of versatile bacteria included Sta. epidermidis, Sta. haemolyticus, Sta. sciuri, Sta. arlettae, Sta. hominis, Sta. agnetis, and Sta. chromogenes. In keeping with these findings, CNS have been implicated in the majority of subclinical udder infections in dairy cattle in various geographical regions, including Mexico [29], Finland [41, 57], Poland [54], Uganda [9], Ethiopia [60], Rwanda [34] and China [19, 59]. Similar CNS species profiles have been documented in intramammary infections in Canadian dairy cattle [15]. In contrast, Bjork et al. [9] reported Sta. epidermidis and Sta. haemolyticus to be the only CNS species recovered from mastitic cows in Uganda.
Bacillus spp., identified as B. cereus, B. licheniformis, and B. subtilis, were present in 22.1% of cases in the current work. Bacillus spp. has also been identified as important pathogens in both CM and SCM in previous investigations [33, 35]. Nonetheless, these results contradict other studies showing that mastitis caused by Bacillus spp. is rare in dairy cows [2, 52]. Here, streptococci including Str. uberis, Str. agalactiae, and Str. dysgalactiae were responsible for 9.3% of the SCM cases detected, whereas Sta. aureus was relatively infrequently isolated (6.1%). Similarly, it has been reported that contagious mastitis caused by the pathogens Str. agalactiae and Sta. aureus remains a problem in Canada, Rwanda and Poland [31, 34, 54], despite the predominance of CNS. In addition, mastitis is commonly associated with Str. uberis, Str. dysgalactiae and Sta. aureus in Finland [55]. In contrast to the results of the present investigation, Sta. aureus was found to be the most common of the bacteria isolated from cases of SCM in Uruguay and Tanzania and CNS the rarest [20, 53].
An event common to all the farms under investigation was the lying down of animals after milking, which might promote the colonization of the opened teat canals by environmental pathogens. Notably, CNS, streptococci such as Str. agalactiae, and Bacillus spp. are known to be prevalent throughout the dairy environment, including on teat skin, milkers’ skin and gloves, and farm floors, which represent reservoirs of bacteria associated with intramammary infections [16, 24, 40]. However, the persistence and virulence of the different CNS species that cause such infections is subject of much debate [58].
In vitro testing of the isolated strains against various antibiotics revealed that they were susceptible to AMC, AMP, CTX, ENR, SXT, GEN and NEO. However, PEN was only moderately effective against CNS (23/75) and coagulase-positive staphylococci (8/25), and ineffective against all Bacillus spp. and coliform isolates. STR was active against streptococci, but varied in effectiveness with respect to other bacteria. The streptococci and coliform strains tested were highly sensitive to TET, high susceptibility to which was also noted among other bacterial species. The results obtained are comparable to those reported previously for bacteria isolated from mastitis cases involving different animal species in a number of regions [8, 17, 44, 46]. However, considering the low number of isolates tested, it is very difficult to reach a firm conclusion concerning antibiotic susceptibility patterns, especially those of coliforms, coagulase-positive staphylococci, and streptococci. Contrary to the results outlined here, Kaczorek et al. [25] reported that Streptococcus spp. are more resistant to GEN, kanamycin, and TET, but highly susceptible to PEN, ENR and marbofloxacin. Interestingly, no multidrug-resistant strains were isolated during the course of this study.
Conclusion: The results of the present study indicated that clinical (12.0%) and subclinical (60%) forms of mastitis are highly prevalent among dairy cattle in El Oro Province, Ecuador. Bacteria associated with environmental mastitis were most often implicated in the CM (E. coli, Sta. epidermidis, Sta. haemolyticus, Sta. chromogenes, Str. uberis, Str. dysgalactiae and B. cereus) and SCM (Sta. epidermidis, Sta. haemolyticus, Sta. sciuri, Sta. arlettae, Sta. hominis, Sta. agnetis, Sta. chromogenes, B. cereus, B. licheniformis, B. subtilis and Str. dysgalactiae) cases examined. However, contagious mastitis pathogens, including Sta. aureus, Str. uberis, and Str. agalactiae, were also responsible for a considerable proportion of cases. All of the bacterial isolates tested were susceptible to one or more antibiotics; therefore, no multidrug-resistant strains were detected in the present study.
Acknowledgments
This study was supported by the Secretaría Nacional de Educacion Superior, Ciencia, Tecnología e Innovación, Ecuador, “PROMETEO Program”. The authors are grateful to the Universidad Tecnica de Machala (UTMACH), Ecuador and Tohoku University, Japan, for providing the kits and reagents necessary for this study.
REFERENCES
- 1.Abebe R., Hatiya H., Abera M., Megersa B., Asmare K.2016. Bovine mastitis: prevalence, risk factors and isolation of Staphylococcus aureus in dairy herds at Hawassa milk shed, South Ethiopia. BMC Vet. Res. 12: 270. doi: 10.1186/s12917-016-0905-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Abera M., Habte T., Aragaw K., Asmare K., Sheferaw D.2012. Major causes of mastitis and associated risk factors in smallholder dairy farms in and around Hawassa, Southern Ethiopia. Trop. Anim. Health Prod. 44: 1175–1179. doi: 10.1007/s11250-011-0055-3 [DOI] [PubMed] [Google Scholar]
- 3.Barkema H. W., Schukken Y. H., Zadoks R. N.2006. Invited Review: The role of cow, pathogen, and treatment regimen in the therapeutic success of bovine Staphylococcus aureus mastitis. J. Dairy Sci. 89: 1877–1895. doi: 10.3168/jds.S0022-0302(06)72256-1 [DOI] [PubMed] [Google Scholar]
- 4.Barnum D. A., Newbould F. H.1961. The Use of the California Mastitis Test for the detection of bovine mastitis. Can. Vet. J. 2: 83–90. [PMC free article] [PubMed] [Google Scholar]
- 5.Bradley A. J., Leach K. A., Breen J. E., Green L. E., Green M. J.2007. Survey of the incidence and aetiology of mastitis on dairy farms in England and Wales. Vet. Rec. 160: 253–257. doi: 10.1136/vr.160.8.253 [DOI] [PubMed] [Google Scholar]
- 6.Bautista-Trujillo G. U., Solorio-Rivera J. L., Rentería-Solórzano I., Carranza-Germán S. I., Bustos-Martínez J. A., Arteaga-Garibay R. I., Baizabal-Aguirre V. M., Cajero-Juárez M., Bravo-Patiño A., Valdez-Alarcón J. J.2013. Performance of culture media for the isolation and identification of Staphylococcus aureus from bovine mastitis. J. Med. Microbiol. 62: 369–376. doi: 10.1099/jmm.0.046284-0 [DOI] [PubMed] [Google Scholar]
- 7.Bhat A. M., Soodan J. S., Singh R., Dhobi I. A., Hussain T., Dar M. Y., Mir M.2017. Incidence of bovine clinical mastitis in Jammu region and antibiogram of isolated pathogens. Vet. World 10: 984–989. doi: 10.14202/vetworld.2017.984-989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bhatt V. D., Patel M. S., Joshi C. G., Kunjadia A.2011. Identification and antibiogram of microbes associated with bovine mastitis. Anim. Biotechnol. 22: 163–169. doi: 10.1080/10495398.2011.570132 [DOI] [PubMed] [Google Scholar]
- 9.Björk S., Båge R., Kanyima B. M., André S., Nassuna-Musoke M. G., Owiny D. O., Persson Y.2014. Characterization of coagulase negative staphylococci from cases of subclinical mastitis in dairy cattle in Kampala, Uganda. Ir. Vet. J. 67: 12. doi: 10.1186/2046-0481-67-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bludau M. J., Maeschli A., Leiber F., Steiner A., Klocke P.2014. Mastitis in dairy heifers: prevalence and risk factors. Vet. J. 202: 566–572. doi: 10.1016/j.tvjl.2014.09.021 [DOI] [PubMed] [Google Scholar]
- 11.Boujenane I., El Aimani J., By K.2015. Effects of clinical mastitis on reproductive and milk performance of Holstein cows in Morocco. Trop. Anim. Health Prod. 47: 207–211. doi: 10.1007/s11250-014-0711-5 [DOI] [PubMed] [Google Scholar]
- 12.Busanello M., Rossi R. S., Cassoli L. D., Pantoja J. C. F., Machado P. F.2017. Estimation of prevalence and incidence of subclinical mastitis in a large population of Brazilian dairy herds. J. Dairy Sci. 100: 6545–6553. doi: 10.3168/jds.2016-12042 [DOI] [PubMed] [Google Scholar]
- 13.Clinical and Laboratory Standards Institute (CLSI) 2008. Document M31-A3. Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals, approved standard, 3rd ed. CLSI, Wayne.
- 14.Condas L. A. Z., De Buck J., Nobrega D. B., Carson D. A., Naushad S., De Vliegher S., Zadoks R. N., Middleton J. R., Dufour S., Kastelic J. P., Barkema H. W.2017. Prevalence of non-aureus staphylococci species causing intramammary infections in Canadian dairy herds. J. Dairy Sci. 100: 5592–5612. doi: 10.3168/jds.2016-12478 [DOI] [PubMed] [Google Scholar]
- 15.Condas L. A. Z., De Buck J., Nobrega D. B., Carson D. A., Roy J. P., Keefe G. P., DeVries T. J., Middleton J. R., Dufour S., Barkema H. W.2017. Distribution of non-aureus staphylococci species in udder quarters with low and high somatic cell count, and clinical mastitis. J. Dairy Sci. 100: 5613–5627. doi: 10.3168/jds.2016-12479 [DOI] [PubMed] [Google Scholar]
- 16.De Visscher A., Supré K., Haesebrouck F., Zadoks R. N., Piessens V., Van Coillie E., Piepers S., De Vliegher S.2014. Further evidence for the existence of environmental and host-associated species of coagulase-negative staphylococci in dairy cattle. Vet. Microbiol. 172: 466–474. doi: 10.1016/j.vetmic.2014.06.011 [DOI] [PubMed] [Google Scholar]
- 17.Dhakal I. P., Dhakal P., Koshihara T., Nagahata H.2007. Epidemiological and bacteriological survey of buffalo mastitis in Nepal. J. Vet. Med. Sci. 69: 1241–1245. doi: 10.1292/jvms.69.1241 [DOI] [PubMed] [Google Scholar]
- 18.Food Agriculture Organization (FAO) 2010. Status of and prospects for smallholder milk production −a global perspective. In: Pro-Poor Livestock Policy Initiative (Hemme, T. and Otte, J. eds), Rome. [Google Scholar]
- 19.Gao J., Barkema H. W., Zhang L., Liu G., Deng Z., Cai L., Shan R., Zhang S., Zou J., Kastelic J. P., Han B.2017. Incidence of clinical mastitis and distribution of pathogens on large Chinese dairy farms. J. Dairy Sci. 100: 4797–4806. doi: 10.3168/jds.2016-12334 [DOI] [PubMed] [Google Scholar]
- 20.Gianneechini R., Concha C., Rivero R., Delucci I., Moreno López J.2002. Occurrence of clinical and sub-clinical mastitis in dairy herds in the West Littoral Region in Uruguay. Acta Vet. Scand. 43: 221–230. doi: 10.1186/1751-0147-43-221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Guimarães J. L. B., Brito M. A. V. P., Lange C. C., Silva M. R., Ribeiro J. B., Mendonça L. C., Mendonça J. F. M., Souza G. N.2017. Estimate of the economic impact of mastitis: A case study in a Holstein dairy herd under tropical conditions. Prev. Vet. Med. 142: 46–50. doi: 10.1016/j.prevetmed.2017.04.011 [DOI] [PubMed] [Google Scholar]
- 22.Hogan J., González R., Harmon R., Nickerson S., Oliver S., Pankey J., Smith K.1999. Laboratory Handbook on Bovine Mastitis. Madison, WI: National Mastitis Council. [Google Scholar]
- 23.Honkanen-Buzalski T.1995. Sampling technique, transportation and history. pp. 111–114. In: The Bovine Udder and Mastitis (Sandholm, M., Honkanen-Buzalski, T., Kaartinen, L. and Pyorala, S. ed.), Gummerus Press, Jyvaskyla. [Google Scholar]
- 24.Jørgensen H. J., Nordstoga A. B., Sviland S., Zadoks R. N., Sølverød L., Kvitle B., Mørk T.2016. Streptococcus agalactiae in the environment of bovine dairy herds--rewriting the textbooks? Vet. Microbiol. 184: 64–72. doi: 10.1016/j.vetmic.2015.12.014 [DOI] [PubMed] [Google Scholar]
- 25.Kaczorek E., Małaczewska J., Wójcik R., Rękawek W., Siwicki A.2017. Phenotypic and genotypic antimicrobial susceptibility pattern of Streptococcus spp. isolated from cases of clinical mastitis in dairy cattle in Poland. J. Dairy Sci. 100: 6442–6453 . [DOI] [PubMed] [Google Scholar]
- 26.Lane D.1991. 16S/23S rRNA sequencing. In: Nucleic Acid Techniques in Bacterial Systematics (Stackebrandt, E. and Goodfellow, M. eds.), John Wiley and Sons, New York. [Google Scholar]
- 27.Laven R. A., Balcomb C. C., Tulley W. T., Lawrence K. E.2014. Effect of dry period length on the effect of an intramammary teat sealant on the risk of mastitis in cattle treated with antibiotics at drying off. N. Z. Vet. J. 62: 214–220. doi: 10.1080/00480169.2013.879689 [DOI] [PubMed] [Google Scholar]
- 28.Leitner G., Pinchasov Y., Morag E., Spanier Y., Jacoby S., Eliau D., Pitcovski J.2013. Immunotherapy of mastitis. Vet. Immunol. Immunopathol. 153: 209–216. doi: 10.1016/j.vetimm.2013.02.017 [DOI] [PubMed] [Google Scholar]
- 29.León-Galván M. F., Barboza-Corona J. E., Lechuga-Arana A. A., Valencia-Posadas M., Aguayo D. D., Cedillo-Pelaez C., Martínez-Ortega E. A., Gutierrez-Chavez A. J.2015. Molecular detection and sensitivity to antibiotics and bacteriocins of pathogens isolated from bovine mastitis in family dairy herds of central Mexico. BioMed Res. Int. 2015: 615153. doi: 10.1155/2015/615153 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Leslie K. E., Petersson-Wolfe C. S.2012. Assessment and management of pain in dairy cows with clinical mastitis. Vet. Clin. North Am. Food Anim. Pract. 28: 289–305. doi: 10.1016/j.cvfa.2012.04.002 [DOI] [PubMed] [Google Scholar]
- 31.Levison L. J., Miller-Cushon E. K., Tucker A. L., Bergeron R., Leslie K. E., Barkema H. W., DeVries T. J.2016. Incidence rate of pathogen-specific clinical mastitis on conventional and organic Canadian dairy farms. J. Dairy Sci. 99: 1341–1350. doi: 10.3168/jds.2015-9809 [DOI] [PubMed] [Google Scholar]
- 32.Malek dos Reis C. B., Barreiro J. R., Mestieri L., Porcionato M. A., dos Santos M. V.2013. Effect of somatic cell count and mastitis pathogens on milk composition in Gyr cows. BMC Vet. Res. 9: 67. doi: 10.1186/1746-6148-9-67 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Mavangira V., Angelos J. A., Samitz E. M., Rowe J. D., Byrne B. A.2013. Gangrenous mastitis caused by Bacillus species in six goats. J. Am. Vet. Med. Assoc. 242: 836–843. doi: 10.2460/javma.242.6.836 [DOI] [PubMed] [Google Scholar]
- 34.Mpatswenumugabo J. P., Bebora L. C., Gitao G. C., Mobegi V. A., Iraguha B., Kamana O., Shumbusho B.2017. Prevalence of subclinical mastitis and distribution of pathogens in dairy farms of Rubavu and Nyabihu Districts, Rwanda. J. Vet. Med. 2017: 8456713. doi: 10.1155/2017/8456713 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Nieminen T., Rintaluoma N., Andersson M., Taimisto A. M., Ali-Vehmas T., Seppälä A., Priha O., Salkinoja-Salonen M.2007. Toxinogenic Bacillus pumilus and Bacillus licheniformis from mastitic milk. Vet. Microbiol. 124: 329–339. doi: 10.1016/j.vetmic.2007.05.015 [DOI] [PubMed] [Google Scholar]
- 36.Oliveira C. S., Hogeveen H., Botelho A. M., Maia P. V., Coelho S. G., Haddad J. P.2015. Cow-specific risk factors for clinical mastitis in Brazilian dairy cattle. Prev. Vet. Med. 121: 297–305. doi: 10.1016/j.prevetmed.2015.08.001 [DOI] [PubMed] [Google Scholar]
- 37.Oliveira L., Hulland C., Ruegg P. L.2013. Characterization of clinical mastitis occurring in cows on 50 large dairy herds in Wisconsin. J. Dairy Sci. 96: 7538–7549. doi: 10.3168/jds.2012-6078 [DOI] [PubMed] [Google Scholar]
- 38.Östensson K., Lam V., Sjögren N., Wredle E.2013. Prevalence of subclinical mastitis and isolated udder pathogens in dairy cows in Southern Vietnam. Trop. Anim. Health Prod. 45: 979–986. doi: 10.1007/s11250-012-0320-0 [DOI] [PubMed] [Google Scholar]
- 39.Persson Y., Nyman A. K., Grönlund-Andersson U.2011. Etiology and antimicrobial susceptibility of udder pathogens from cases of subclinical mastitis in dairy cows in Sweden. Acta Vet. Scand. 53: 36. doi: 10.1186/1751-0147-53-36 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Piessens V., Van Coillie E., Verbist B., Supré K., Braem G., Van Nuffel A., De Vuyst L., Heyndrickx M., De Vliegher S.2011. Distribution of coagulase-negative Staphylococcus species from milk and environment of dairy cows differs between herds. J. Dairy Sci. 94: 2933–2944. doi: 10.3168/jds.2010-3956 [DOI] [PubMed] [Google Scholar]
- 41.Pitkälä A., Haveri M., Pyörälä S., Myllys V., Honkanen-Buzalski T.2004. Bovine mastitis in Finland 2001--prevalence, distribution of bacteria, and antimicrobial resistance. J. Dairy Sci. 87: 2433–2441. doi: 10.3168/jds.S0022-0302(04)73366-4 [DOI] [PubMed] [Google Scholar]
- 42.Pyörälä S.2002. New strategies to prevent mastitis. Reprod. Domest. Anim. 37: 211–216. doi: 10.1046/j.1439-0531.2002.00378.x [DOI] [PubMed] [Google Scholar]
- 43.Ramírez N. F., Keefe G., Dohoo I., Sánchez J., Arroyave O., Cerón J., Jaramillo M., Palacio L. G.2014. Herd- and cow-level risk factors associated with subclinical mastitis in dairy farms from the High Plains of the northern Antioquia, Colombia. J. Dairy Sci. 97: 4141–4150. doi: 10.3168/jds.2013-6815 [DOI] [PubMed] [Google Scholar]
- 44.Ranjan R., Gupta M. K., Singh S., Kumar S.2010. Current trend of drug sensitivity in bovine mastitis. Vet. World 3: 17–20. [Google Scholar]
- 45.Reyher K. K., Haine D., Dohoo I. R., Revie C. W.2012. Examining the effect of intramammary infections with minor mastitis pathogens on the acquisition of new intramammary infections with major mastitis pathogens--a systematic review and meta-analysis. J. Dairy Sci. 95: 6483–6502. doi: 10.3168/jds.2012-5594 [DOI] [PubMed] [Google Scholar]
- 46.Ruegg P. L., Oliveira L., Jin W., Okwumabua O.2015. Phenotypic antimicrobial susceptibility and occurrence of selected resistance genes in gram-positive mastitis pathogens isolated from Wisconsin dairy cows. J. Dairy Sci. 98: 4521–4534. doi: 10.3168/jds.2014-9137 [DOI] [PubMed] [Google Scholar]
- 47.Saidi R., Khelef D., Kaidi R.2013. Subclinical mastitis in cattle in Algeria: frequency of occurrence and bacteriological isolates. J. S. Afr. Vet. Assoc. 84: E1–E5. doi: 10.4102/jsava.v84i1.929 [DOI] [PubMed] [Google Scholar]
- 48.Sears P. M., González R. N., Wilson D. J., Han H. R.1993. Procedures for mastitis diagnosis and control. Vet. Clin. North Am. Food Anim. Pract. 9: 445–468. doi: 10.1016/S0749-0720(15)30613-7 [DOI] [PubMed] [Google Scholar]
- 49.Seegers H., Fourichon C., Beaudeau F.2003. Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet. Res. 34: 475–491. doi: 10.1051/vetres:2003027 [DOI] [PubMed] [Google Scholar]
- 50.Seyoum B., Kefyalew H., Abera B., Abdela N.2018. Prevalence, risk factors and antimicrobial susceptibility test of Staphylococcus aureus in Bovine cross breed mastitic milk in and around Asella town, Oromia regional state, southern Ethiopia. Acta Trop. 177: 32–36. doi: 10.1016/j.actatropica.2017.09.012 [DOI] [PubMed] [Google Scholar]
- 51.Silveira-Filho V. M., Luz I. S., Campos A. P., Silva W. M., Barros M. P., Medeiros E. S., Freitas M. F., Mota R. A., Sena M. J., Leal-Balbino T. C.2014. Antibiotic resistance and molecular analysis of Staphylococcus aureus isolated from cow’s milk and dairy products in northeast Brazil. J. Food Prot. 77: 583–591. doi: 10.4315/0362-028X.JFP-13-343 [DOI] [PubMed] [Google Scholar]
- 52.Sori H., Zerihun A., Abdicho S.2005. Dairy cattle mastitis in and around Sebeta Sebeta, Ethiopia. Int. J. Appl. Res. Vet. Med. 3: 332–338. [Google Scholar]
- 53.Suleiman T., Karimuribo E., Mdegela R.2017. Prevalence of bovine subclinical mastitis and antibiotic susceptibility patterns of major mastitis pathogens isolated in Unguja island of Zanzibar, Tanzania. Trop. Anim. Health Prod. (In Press). [DOI] [PubMed] [Google Scholar]
- 54.Sztachańska M., Barański W., Janowski T., Pogorzelska J., Zduńczyk S.2016. Prevalence and etiological agents of subclinical mastitis at the end of lactation in nine dairy herds in North-East Poland. Pol. J. Vet. Sci. 19: 119–124. doi: 10.1515/pjvs-2016-0015 [DOI] [PubMed] [Google Scholar]
- 55.Taponen S., Liski E., Heikkilä A. M., Pyörälä S.2017. Factors associated with intramammary infection in dairy cows caused by coagulase-negative staphylococci, Staphylococcus aureus, Streptococcus uberis, Streptococcus dysgalactiae, Corynebacterium bovis, or Escherichia coli. J. Dairy Sci. 100: 493–503. doi: 10.3168/jds.2016-11465 [DOI] [PubMed] [Google Scholar]
- 56.Thompson-Crispi K., Atalla H., Miglior F., Mallard B. A.2014. Bovine mastitis: frontiers in immunogenetics. Front. Immunol. 5: 493. doi: 10.3389/fimmu.2014.00493 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Vakkamäki J., Taponen S., Heikkilä A. M., Pyörälä S.2017. Bacteriological etiology and treatment of mastitis in Finnish dairy herds. Acta Vet. Scand. 59: 33. doi: 10.1186/s13028-017-0301-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vanderhaeghen W., Piepers S., Leroy F., Van Coillie E., Haesebrouck F., De Vliegher S.2014. Invited review: effect, persistence, and virulence of coagulase-negative Staphylococcus species associated with ruminant udder health. J. Dairy Sci. 97: 5275–5293. doi: 10.3168/jds.2013-7775 [DOI] [PubMed] [Google Scholar]
- 59.Yang F. L., Shen C., He B. X., Yang Y. Y., Gong D. C., Li X. S.2015. The prevalence of heifer mastitis and its associated risk factors in Huanggang, Central China. Trop. Anim. Health Prod. 47: 87–92. doi: 10.1007/s11250-014-0689-z [DOI] [PubMed] [Google Scholar]
- 60.Zeryehun T., Abera G.2017. Prevalence and bacterial isolates of mastitis in dairy farms in selected districts of Eastern Harrarghe Zone, Eastern Ethiopia. J. Vet. Med. 2017: 6498618. doi: 10.1155/2017/6498618 [DOI] [PMC free article] [PubMed] [Google Scholar]