Leptospirosis is an emerging zoonotic disease endemic in Kerala and close monitoring
of emerging serovars is essential to adopt appropriate control strategies. Multi-Locus Sequence
Typing (MLST) was reported to be less expensive compared to other cumbersome methods like
whole genome sequencing. The present study was conducted to obtain isolates of Leptospira from
infected animals and rats and for the identification of serovars using MLST. A total of 205 blood
samples (dog, cat, cattle, goat), 43 urine samples (dog, cattle) and post-mortem kidney samples
from various animals such as dog (n=12), cattle (n=2) and rat (n=25) were collected and subjected
to polymerase chain reaction (PCR) using G1/G2 primers to identify the pathogenic Leptospira.
Fifteen samples were found to be positive, these samples when inoculated in the Ellinghausen-
McCullough-Johnson-Harris (EMJH) semi-solid medium to obtain ten isolates. These ten isolates
were further subjected to secY, icdA and GyraseB PCR and sequenced. The obtained sequences
were analysed using BLAST and were fed into specified MLST database of Leptospira scheme-3,
the allelic profile and sequence type were generated. The MLST results obtained in the study
indicated that the isolates S24 and S33 belonged to serovar Canicola, S40 and 47 were Sejroe
and S19, S27, S55, S69 and S71 were Bataviae, Autumnalis, Pomona, Icterohaemorraghiae and
Australis, respectively. It was concluded that MLST is a convenient method for identifying leptospiral
serovars.