Development and validation of multiplex PCR based molecular serotyping of Salmonella serovars associated with poultry in India.

Salmonella species are Gram-negative bacteria with more than 2600 serovars. Among these serovars, many are associated with various diseases in livestock and humans. White Kauffman Le-Minor (WKL) serotyping scheme applies specific serum to determine the serovars of Salmonella. Recent studies have applied molecular methods for serovar predictions. These methods include PCR, hybridization and sequence data to detect/predict serovar-specific genetic elements. Among these, PCR is a robust method if the unique genetic element is already known. Within this context, also involving novel primers, two multiplex PCR assays were standardized to detect six important Salmonella serovars viz. Typhimurium, Enteritidis, Kentucky, Infantis, Virchow and Gallinarum associated with poultry in India. The developed PCR assays showed targeted serovar specificity. Serial dilution experiments of both kit-based and crude lysate DNA preparations indicated similar applicability of both methods for testing from pure cultures. Further the developed assays were validated with 25 recent field isolates to confirm the applicability in routine diagnosis. The PCR assay could predict all the targeted serovars (17/25) with 100% specificity (CI-95%; 0.63-1). Molecular serotyping can reduce the number of serum used in comparison to the conventional serotyping which involves more random application of serum.

Pathotyping and antimicrobial susceptibility testing of Escherichia coli isolates from neonatal calves.

Neonatal calf mortality is a major concern to livestock sector worldwide. Neonatal calf diarrhoea (NCD), an acute severe condition causes morbidity and mortality in calves. Amongst various pathogens involved in NCD, E. coli is considered as one of the major causes. The study was targeted to characterize E. coli isolates from neonatal calves for diarrhoeagenic Escherichia coli (DEC) types (pathotyping), antimicrobial resistance (AMR) profiling and to correlate with epidemiological parameters. From neonates, a total of 113 faecal samples were collected, out of that 308, lactose fermenting colonies were confirmed as E. coli. Pathotypable isolates (12.3%) were represented by STEC (6.1%), EPEC (2.9%), ETEC (1.9%), EAEC (0.9%) and EHEC (0.3%). Occurrence of STEC was more in non-diarrhoeic calves, whereas ETEC was observed more in diarrhoeic calves. EPEC occurrence was observed in both diarrhoeic and non-diarrhoeic calves. Fishers extract test showed no significant association for occurrence of DEC types to type of dairies, health status, species, breed, age and sex of neonatal calves. Two hundred and eighty isolates were tested for antimicrobial susceptibility. The isolates showed maximum resistance towards ampicillin (55.4%) followed by tetracycline (54.3%), while minimum resistance was observed towards meropenem (2.5%). Multidrug resistant E. coli isolates were found to be 139 (49.6%), and Extended-spectrum beta-lactamase (ESBL) producers were 120 (42.9%). DEC pathotypes like STEC, ETEC, EHEC and EAEC that are also multidrug resistant present in neonatal calves have zoonotic potential and hence are of public health significance.

A comparative genomics approach for identifying genetic factors in Escherichia coli isolates associated with bovine diseases.

AIMS: E. coli are ubiquitously present bacterial pathogens that cause septicaemia, diarrhoea and other clinical illness in farm animals. Many pathogen factors can be associated with disease conditions. Currently, studies inferring E. coli genetic factors associated with infection in bovines are limited. Hence, the present study envisaged to determine the pathogen genetic factors associated with bovine disease conditions. METHOD AND RESULTS: The comparative genomic analysis involved genome sequence data of 135 diseased and 145 healthy bovine origin E. coli strains. Phylogroups A and C, as well as pathotypes ExPEC and EPEC, were found to have a strong connection with bovine disease strains. STEC strains, including EHEC, seem to play a less important role in bovine disease. Sequence types (STs) predominant among strains from diarrhoeal origin were ST 301 (CC 165) and ST 342. Correlation of core genome phylogeny with accessory gene-based clustering, phylogroups and pathotypes indicated lineage-specific virulence factors mostly associated with disease conditions. CONCLUSIONS: Comparative genomic analysis was applied to infer genetic factors significant in bovine disease origin E. coli strains. Isolates from bovine disease origin were enriched for the phylogroups A and C, and for the pathotypes ExPEC and EPEC. However, there was minimal evidence of STEC involvement. The study also indicated predominant genetic lineages and virulence genes (pap, sfa and afa) associated with disease origin strains. SIGNIFICANCE AND IMPACT OF STUDY: The study revealed significant pathotypes, phylogroups, serotypes and sequence types associated with bovine disease conditions. These identified genetic factors can be applied for disease diagnosis, implementing vaccines and therapeutic measures. In addition, E. coli isolates from the bovine species revealed a complex pattern of disease epidemiology.