Dairy cows density and frequency of
Abstract
A total of 269 cows in small family herds in the central region of México from different municipalities of México State were studied. Composed milk samples were obtained to detect subclinical mastitis and S. aureus infection and for characterization of phenotypes as follows: biotypes, capsular exopolysaccharide 5 and 8, ORSA/MRSA and MRSA strains; and in vitro phagocytosis neutrophil activity and apoptosis by S. aureus serotype 5. Results were evaluated by estimating proportions and chi-square test (p < 0.05). The microbial isolation rate was 46%; S. aureus isolation rate was 23.4–21.0% among cow herds; 39% of microbial isolates were in 1500–2500 cells/mL, with Wisconsin test. The phenotypes of S. aureus were: biotypes A and C are identified frequently that produce alpha and beta-hemolysin toxins, and a smaller proportion other hemolysins types. S. aureus isolates capsular serotypes 5 and 8 show differences in the in vitro neutrophil phagocytosis activity and apoptosis. The ORSA/MRSA isolates show that MRSA strains? mec A gene was confirmed by PCR. The S. aureus infection level in the dairy cow herds shows a wide municipal distribution, identifying different S. aureus pathotypes enclosed to virulence factors and MRSA to establish a potential health risk in small dairy cow herds in México.
Keywords
- bovine mastitis
- Staphylococcus aureus
- neutrophil phagocytosis
- milk quality
- small dairy farms
1. Introduction
Bovine mastitis is a limiting disease of the production in dairy herd, commonly caused by
2. Materials and methods
The diagnosis of the situation of subclinical mastitis in small dairy herds’ family production was made under the causal model based on the clinical diagnosis of bovine mastitis and its association with the main infectious agents present in the herds and the
2.1 Determination of Staphylococcus aureus and frequency of subclinical mastitis
Milk samples obtained from 2749 cows of 182 dairy herds of family production in different municipal regions of the State of Mexico (Almoloya de Juarez, Zinacantepec, Chapultepec, Temoaya, Toluca, Tenango del Valle, and Lerma y Atlacomulco) were studied, to detect the mastitis frequency, the
The level of association between the reaction of the Wisconsin Test and the isolation frequency of
2.2 Staphylococcus aureus isolation and phenotypic characterization
The isolation of
The biotypes of
The identification of the different types of hemolysins α, β, γ, and δ of
The
2.2.1 Staphylococcus aureus capsular polysaccharides characterization
The capsular exopolysaccharide phenotypes were characterized from 90n
2.2.2 Staphylococcus aureus capsular genes
The identification of the cap5 and cap8 genes related to
2.3 In vitro induction of apoptosis in bovine neutrophils
The effect of the capsular serotyp. 5 of
2.4 Staphylococcus aureus methicillin-resistant strains identification
With the identified resistant oxacillin and methicillin antibiotypes (ORSA/MRSA), the
2.4.1 Identification of the mec A gene in Staphylococcus aureus by polymerase chain reaction (PCR) test
Isolation of chromosomal DNA was obtained from
3. Results
The
Density (cows/km2) | Municipalities | Number of cows | Isolations |
|
---|---|---|---|---|
% | ||||
High [5.6] | Almoloya de Juárez | 1021 | 268 | 46.2 |
Median [2.7] | Atlacomulco, Chapultepec, Lerma, Tenango del Valle, Temoaya, and y Zinacantepec | 1237 | 211 | 36.3 |
Low [1.12] | Toluca, Metepec | 491 | 101 | 17.4 |
Total | 2749 | 580 | 21.0 |
Table 1.
p < 0.01.
The bacterial isolation rate of reaction level in the Wisconsin Test obtained from 243 milk samples was 46%, the main agent isolated was
Agents | Isolation number | % |
---|---|---|
82a | 22.4 | |
45a | 12.29 | |
14 | 3.82 | |
6 | 1.63 | |
3 | 0.81 | |
5 | 1.36 | |
4 | 1.09 | |
1 | 0.2 | |
4 | 1.09 | |
2 | 0.54 | |
Negative isolations | 197 | 53.82 |
Total | 366 | 100 |
Table 2.
Bacterial isolation frequency in dairy cows with subclinical mastitis.
Significant differences (p < 0.05).
When evaluating the level of somatic cells in milk by the Wisconsin Test, a significant proportion of 39% of isolates were observed in the range 1700–2500 × 103 cells/mL of the Wisconsin Test reaction distribution and the proportion of the bacterial isolates in the population sample studied (Table 3).
Wisconsin test estimated somatic cells × 103 mL | Bacterial isolates (%) |
---|---|
<100 | 10.0 |
100–500 | 8.0 |
500–1000 | 20.0 |
1000–1700 | 14.0 |
1700–2500 | 39.0 |
>2500 | 8.5 |
Total | 100 |
Table 3.
Distribution of mastitis Wisconsin Test reactions and bacterial isolates.
Significant differences (p < 0.05).
The isolation frequency of
Hemolysin types | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
Biotype | Total | α | β | γ | δ | α β | α δ | γ | α | α β δ |
A | 48 | 9 | 11 | 0 | 2 | 19 | 2 | 0 | 3 | 1 |
C | 36 | 23 | 4 | 1 | 1 | 5 | 3 | 1 | 2 | 0 |
B | 6 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 90 | 32 | 15 | 4 | 3 | 24 | 5 | 1 | 5 | 1 |
% | 100 | 35.5 | 17.0 | 4.4 | 3.3 | 26.6 | 5.5 | 1.1 | 5.5 | 1.1 |
Table 4.
Hemolysin types associated with biotypes of
p < 0.01; total isolates of
The relationship among the
The
Antimicrobial | Isolations of |
||
---|---|---|---|
Sensitive (%) | Intermediate (%) | Resistant (%) | |
Penicillin | 8.2 | 26.1 | 65.7 |
Ampicillin | 8.2 | 1.5 | 90.3 |
Novobiocin | 69.4 91.8 |
5.2 0.0 |
25.4 8.2 |
Dicloxacillin | 90.3 | 1.5 | 8.2 |
Cephalosporin | 8.2 | 40.3 | 5.5 |
Cefotaxime | 91.8 | 2.2 | 6.0 |
Erythromycin | 94.8 | 1.5 | 3.7 |
Spiramycin | 69.4 | 5.2 | 25.4 |
Lincomycin | 65.0 | 8.9 | 26.1 |
Table 5.
p < 0.05.
The distribution of
The
Antimicrobial | Halo inhibition (mm) Halo growth inhibition |
Strains resistant (%) | Production strains, β-lactamase (%) | |||
---|---|---|---|---|---|---|
Maximum | Minimum | Average | SD± | |||
Penicillin | 30 | 8 | 18.4 | 6.7 | 93.0 | 93.0 |
Ampicillin | 29 | 10 | 17.3 | 5.7 | 93.0 | 93.0 |
Cefotaxime | 30 | 0 | 19.1 | 10.2 | 7.0 | 59.0 |
Oxacicline | 16 | 0 | 9.7 | 6.9 | 21.0 | 20.0 |
Table 6.
β-lactam
The

Figure 1.
Agarose gel showing the 173 bp amplicons obtained by PCR related to the cap 8 gene. Lanes 1: Molecular weight marker, 2: positive control
The
The
On the other hand, the

Figure 2.
Evaluation of the induction of apoptosis
The

Figure 3.
PCR agarose gel electrophoresis, amplification products of the nuc gene of

Figure 4.
Agarose gel electrophoresis shows the amplification products of the chromosomal DNA of the working strains of
The MRSA strains were confirmed from ORSA/MRSA phenotypes detected previously; in the polymerase chain reaction (PCR) reactions, the
4. Discussion
The wide municipal distribution of
Actually the importance of support of the sustainability of small cattle herds has an effect that can moderate the methane production and the adverse effects in the phenomenon of global climate change [46] because it will have a greater impact in agricultural production in geographic regions with less socioeconomic development affecting quality of life by increasing demand for food, deterioration of natural resources, water sources, and biodiversity [47]. One of the main expected effects of climate change is associated with changes in temperature and extreme weather disturbances that seriously affect the ecosystem, biodiversity, and agro-food production [48, 49]; there is a direct ecological and socioeconomic impact on human activities, the health of the human and animal population [50], and animal acclimation response in their adaptation processes [51]. Adaptive process in dairy cattle develops metabolic and behavioral physiological compensatory mechanisms to reduce the adverse effects of climate related to the region’s racial genotype [52, 53]. The risk of suffering thermal stress is increased in the animal population in certain regions with negative effects on livestock production and animal welfare [54, 55]. In extreme weather, events with a high ambient temperature, solar radiation, relative humidity and air velocity increase. Under these climatic conditions, cattle are susceptible to developing heat stress [56, 57, 58, 59]. Thermotolerant animals expressed certain genes related to cellular stress induced by a high environmental temperature, increasing the secretion of growth hormone (b-GH), milk proteins β-casein (CSN3), and lactalbumin (LAA) [60, 61, 62, 63, 64].
Neutrophils phagocytosis activity in bovine mammary gland is the first line of cellular defense; its phagocytosis activity is reduced affecting its microbicidal capacity, by the presence of fat, casein [65, 66]. The bovine neutrophils are different in their capacity of phagocytosis on
Other physiological factors of the cow modify the activity of phagocytosis in the mammary gland; during the first week of the dry period, the activity of phagocytosis increases, decreasing at the end of the dry period [69]. In other studies, one reveals a difference in the phagocytosis activity of neutrophils obtained from the glandular secretion of nulliparous and multiparous cows, when evaluating chemilumincence and peroxidase activity [70]. In lactating cows and heifers, peroxidase activation was associated with fat globules, casein, similar to that shown by zymosan phagosomes in the control group explained by the low activity of leukocyte xanthine oxidase. Other studies show differences in alkaline phosphatase of neutrophils from cows with mastitis and healthy cows. In the same way, another condition that can influence the resistance of the mammary gland is the ontogeny of the myeloid cells and their differentiation, by identifying the absence of the transferrin receptor and the expression of the antigens [43, 67, 68], BOCD11 A and BOWC5 [71]. The different surface receptors in the cell membrane of neutrophils are involved in chemotaxis, phagocytosis, and the activation of the respiratory explosion in neutrophils, evidencing the polymorphism of the functional sites of phagocytes and their modulation in phagocytosis [72]. Low neutrophils functional activity is shown at parturition, assuming an increase in susceptibility to infection at the beginning of lactation [73]. When evaluating the parameters of phagocytosis activity and milk production, a negative correlation was obtained. However, at present, there is a tendency to genetic selection of dairy cows to look for natural resistance to bovine mastitis, when choosing the progeny for the estimated data of the somatic cell count and the heritability index, evaluating the neutrophils phagocytosis activity and capacity [74].
During the
The mammary gland infection and their relationship between the average somatic cell in some cases to reflect observing persistent somatic cell counts in milk >1000,000 cells an infection with minor pathogens. The risk of intramammary infection increases when the somatic cell count of milk is >1500,000 cells/mL. When evaluating the dairy herds with high somatic cell counts in milk, the generated information is a useful collection by evolution to prevent the herd infection level [79]. Infection with
The phagocytosis activity intervenes in cellular resistance and the modulation of glandular inflammation limiting the development of intraglandular mammary infection in the different stages of production of dairy cows [84].
The infection by
The occurrence of
The MRSA strains identified in the study may be of the epidemic type (EMRSA), when related to the production of the α-toxin, which is considered a predictive marker of the virulence of
The case of bovine mastitis is a multifactorial disease in which several predisposing factors are identified, such as the stage of lactation, the number of births, the time of year, milking hygiene, the size, and technological level of the herd [94]. In the production environment, the presentation of subclinical mastitis is accentuated in the larger dairy herds compared with those of smaller size [95, 96, 97]. The monitory of the somatic cells in milk is an indicator of the inflammatory response of the mammary gland, and under stress, it suggests a condition of immunosuppression in cows [98, 99]. In the presence of mastitis, milk production and quality are affected by the disease presenting physicochemical and cellular alterations. When the somatic cells of total bacteria in milk increases and at the same time as it deteriorates the sanitary quality of the milk [100, 101], the poor milk quality contributes to the deterioration of the dairy products in the industrialization and increases the risk to the health of the consumers [102]. The physical-chemical alterations of milk are associated with the inflammatory reaction of the mammary gland, due to the increase in the number of leukocytes and the presence of enzymes and bacterial inhibitors that are incorporated into milk, as well as some components of blood plasma [103, 104]. The components of blood plasma contain proteases and lipases, which accelerate the decomposition of milk fat and proteins [105, 106, 107]. The increase in the number of somatic cells is related to the increase of proteins and nitrogenous substances in milk [108, 109]. The concentration of α-lactalbumin and β-lactoglobulin in milk serum decreases substantially [110]. The concentration of lactose decreases to maintain the ionic balance and the osmotic pressure of the milk, thereby producing a variation of the mineral profile of the milk [111]. When this changes occurred, the thermotolerance of milk is reduced [112]. The glandular inflammation decreases the synthesis of casein, consequently decreasing the content of Zn, Ca, and P bound to the casein; the presence of blood serum in milk provokes an increase of the Cu, Fe, and Mn being united to serum albumin and ceruloplasmin, lactoferrin and transferrin [113, 114].
The milk pH increases from 6.6 to 7.0, due to the presence of bicarbonate, without affecting the titratable acidity and its buffer capacity and electrical conductivity, and increasing the freezing point of milk [110]. When the riboflavin and ascorbic acid concentration decreases in milk, it affects the fermentation and acidification capacity in dairy production [115]. There are many intrinsic and extrinsic factors that affect the quality of milk in the presence of mastitis, which is why a health problem is currently considered.
5. Conclusion
The
Acknowledgments
To the members collaborating in the project, “Red de Cuerpos Académicos en Salud Animal e Inocuidad Alimentaria: México-Uruguay”.
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