Although the frequency of sub-clinical mastitis in dairy herds is far higher than that of clinical mastitis, this form of the disease continues to go undiagnosed and unreported and it represents a more serious financial threat to the dairy livestock business
(Shaheen et al., 2016).
Even though it is very difficult to assess the cost of SCM, most experts agree that it is more expensive for the average dairy farmer than clinical mastitis. Because DNA-based recognition assays are more accurate and produce results with less variability, they can help solve some of the problems with traditional microbiological methods. As a result, in addition to the conventional approaches like CMT, SCC, isolation and biochemical characterization, this expertise was applied in the current inquiry. Use of more expedient, timely methods of detection, the accuracy and sensitivity of multiplex PCR and polymerase chain reaction were evaluated.
Screening of the milk samples by CMT
A total of 200 milk samples collected from cows and buffaloes from Sirohi district of Southern Rajasthan were subjected to California Mastitis Test (CMT) for screening for subclinical bovine mastitis. Among the 200-milk sample, CMT was found to be positive in 45% (n=90/200) samples.
Screening of milk samples by SCC and incidence of sub clinical mastitis
The collected milk samples were subjected to measurement of SCC for evaluation of subclinical mastitis. According to the result of SCC, milk samples were grouped into six different groups
viz., 0-1 lakh, 1-2 lakh, 2-3 lakh, 3-4 lakh, 4-5 lakh and >5 lakh cells/mL Overall 20 milk samples showed SCC value of <1 lakh cells/mL, 22 showed 1-2 lakhs cells/mL, 35 showed 2-3 lakhs cells/mL, 28 showed 3-4 lakhs cells/mL, 21 showed 4-5 lakhs cells/mL and 74 milks samples showed SCC >5 lakhs cells/mL SCC values of cows and buffaloes milks samples given separately. A result of the SCC of 200 milk samples indicated SCM at 37% since, 74 out of 200 samples were positive for SCM.
Isolation and characterization of most prevalent microorganism in sub clinical mastitis
In the present study out of 200 milk samples 74 milk samples which showed SCC value >5 lakh cells/mL were cultured for primary isolation of predominant
Staphylococcus aureus, Streptococci and
E.
coli found positive for presence of bacteria. Out of these 74 positive samples for SCC, 72 samples had bacterial growth and while in 02 samples there was absence of bacterial growth. Out of the 72 samples that showed bacterial colonies, only 40 had single bacterial growth whereas rest of the 32 samples had mixed growth. A total of 97 isolates were recovered from these milk samples. The prevalence of mastitis caused by
Staphylococcus aureus, (54/200, 27%),
Streptococcus spp. (30/200, 15%) and
E.
coli (13/200, 6.5%) respectively either as single and or as mixed infections.
S.
aureus (54 isolates), Streptococci spp. (30 isolates, including 21
S.
agalactiae isolates and 9 additional streptococcal spp.) and
E.
coli (13 isolates) were phenotypically identified as the 97 recovered isolates from these samples. Although a clear diagnosis of an intra mammary infection can be made by finding a bacterial pathogen in milk from a cow with mastitis using standard microbiological techniques, the procedure is substantially more time-consuming. Usually, it takes longer than 48 hours or more to finish. To get around this, tactful and Sensitive multiplex PCR was used to precisely and quickly identify the primary bacterial pathogens that cause SCM.
Development of multiplex PCR
Multiplex PCR was used to assess the microorganism species using all the genus- and species-specific primers (Table 1). Amplification products and the size of each gene were displayed in (Fig 1 a,b,c,d). The simultaneous identification of Staphylococcus 65 (32.5%), Streptococcus 37 (18.5%) and
E.
coli 16 (8%) was made possible by multiplexing. However,
Choudhary, (2017). evaluated nine different microorganism species using multiplex PCR and found that
S.
aureus,
S.
hyicus,
S.
agalactiae,
S.
uberis,
E.
coli,
Klebsiella pneumoniae,
Listeria monocytogenus,
Mycoplasma bovis and
Pseudomonas aeruginosa were all currently detectable.
S.
aureus was found to be present in 62. Similar to this,
Shome et al., (2011) concurrently identified 10 bacterial strains using multiplex PCR.
Major mastitis pathogens found in several nations were consequently, the standardisation of multiplex polymerase chain reaction assay for side-by-side identification of these pathogens overcomes the cost-effectiveness of conventional uniplex PCR. These pathogens include
S.
agalactiae,
S.
aureus (contagious pathogens),
S.
dysgalactiae,
S.
uberis and
E.
coli (environmental pathogen). For each reaction diagnosis, it uses fewer chemicals, such as DNA polymerase. It also requires less setup and research time than other techniques that employ a large number of simplex PCR tubes. By detecting the isolates obtained from the Sub Clinical Mastitis cases in the current experiment, the methodology was approved after standardising the multiplex-polymerase chain reaction utilising reference strains.
Because 21 other bacteria (Table 3) were likely missed by more conventional approaches due to their independent non-viability, multiplex PCR most likely found them. Additionally, the difference in the types of bacteria found in milk could encourage the growth of the dominant species while squelching the lesser ones. In addition, colonies were selected in isolation from other cultures based on phenotypic characteristics like size, colour and form.
Out of the 200 milk samples utilised in the investigation, 117 isolates for the targeted bacteria were found using multiplex polymerase chain reaction, whereas 97 isolates were found and validated using conventional microbiological methods. The result suggests that the multiplex polymerase reaction is more sensitive than tried-and-true traditional methods. A summary comparison of multiplex PCR and traditional methods is produced and presented in Table 3. Similar multiplex PCR-based detection investigations to the current study have been described and verified by other researchers
(Koskinen et al., 2010).
The findings showed that for all target species, Comparing the multiplex polymerase reaction methodology to bacterial culture and biochemical test methods, we find that the latter is less sensitive. It has been said that a polymerase chain reaction assay may successfully detect DNAs from both viable and non-viable bacteria, in contrast to a bacterial culture technique, which can only detect and identify viable bacteria. Bacterial DNA can frequently be detected in the udder even after the infection has been treated, which can produce false-positive PCR assay findings
(Koskinen et al., 2010). The ability to detect
S.
uberis at concentrations below those connected to clinical mastitis highlighted the potential use of this technique for early infection detection or confirmation of effective therapeutic therapy for speedy results. Staphylococcus and other bacteria were identified at the genus level for the current investigation using PCR. Streptococcus. The
Tuf gene encodes the elongation factor Tu (EF-Tu)
(Martineau et al., 2001; Picard et al., 2004). Elongation factor-Tu is a GTP-binding protein required for protein synthesis. The tuf gene-based PCR was utilised to identify the Staphylococcus isolates at the genus level and all of the Staphylococcus isolates yielded a 235 bp product that was amplified.
The tuf-based PCR assay for staphylococcal species identification has previously shown to have excellent sensitivity and specificity and it can be modified for the direct detection of staphylococci from contaminated blood or from clinical specimens that are typically sterile, like blood or urine
(Martineau et al., 2001) The results of the current analysis confirm earlier findings that Staphylococcus may be recognised using
tuf gene-based PCR at the genus level.
By boosting a 110 The tuf gene-based Polymerase chain reaction has been standardised for the identification of Streptococcus isolates at the level of the genus in the current experiment. bp product from each of the 30 Streptococcal isolates.
(Picard et al., 2004). drew the phylogenetic tree using the same gene.