Molecular characterization of B. anthracis isolates from the anthrax outbreak among cattle in Karnataka, India

Identification of the molecular characteristics of Bacillus anthracis (1982-2020) isolates in East Indonesia using multilocus variable-number tandem repeat analysis

Background and Aim:

Anthrax is one of the endemic strategic diseases in East Indonesia, particularly in the provinces of South Sulawesi, West Sulawesi, Gorontalo, East Nusa Tenggara, and West Nusa Tenggara. Anthrax is an important disease due to its zoonotic and economic impact on the livestock industry. This study aimed to identify the molecular characteristics of Bacillus anthracis in East Indonesia using multilocus variable-number tandem repeat (VNTR) analysis (MLVA).

Materials and Methods:

Isolates were obtained from an investigation of anthrax outbreaks in five provinces of East Indonesia from 1982 to 2020. Conventional polymerase chain reaction for B. anthracis was used to identify MLVA-8. Deoxyribonucleic acid sequencing analysis was based on MLVA-8 primers for VNTR identification of the phylogenetic relationship among 24 isolates of B. anthracis obtained from 17 distinct districts/cities in East Indonesia. Tandem Repeats Finder was used for VNTR identification, and Molecular Evolutionary Genetics Analysis X was used to construct phylogenetic analysis.

Results:

In this study, 24 isolates were classified as genotype or lineage A. There were four subgroups of B. anthracis circulating in East Indonesia based on eight molecular marker loci sequence results.

Conclusion:

The findings of this study show that MLVA-8 typing might be useful as a subtyping tool for the epidemiological investigation of identical genotypes and low genetic diversity of B. anthracis. No other lineage of B. anthracis was circulating in East Indonesia. Other molecular methods are needed, such as extended MLVA, whole-genome sequencing, and canonical single-nucleotide polymorphism, for a more precise study of B. anthracis genetic diversity.

Molecular Identification of Bacillus Isolated from Korean Water Deer (Hydropotes inermis argyropus) and Striped Field Mouse (Apodemus agrarius) Feces by Using an SNP-Based 16S Ribosomal Marker

Simple Summary

Wildlife is a great concern because of its free-ranging movements. They carry bacterial zoonoses in their feces, such as Bacillus species. In this study, we developed a 16S Bacillus species-specific 16S ribosomal RNA (rRNA) molecular marker for species identification. For discrimination of genetically similar members of Bacillus cereus group, including Bacillus cereus, B. anthrax, and B. thuringiensis, a single nucleotide polymorphism (SNP)-based marker was developed. We altered an artificial base at the 3′-end of SNP sites in each SNP-based 16S rRNA primer sequence to improve the ability of SNP-based primers to bind the PCR template sequence, thereby improving the allele-specific detection of target B. cereus strains. SNP analysis in high-quality DNA sequences could facilitate identification and discrimination of closely related bacterial species.

Abstract

Ambiguous, heterogeneous, endospore-forming Bacillus species, notably Bacillus cereus, often produce fatal toxins that threaten human health. We identified Bacillus from wild animal fecal samples (n = 80), including the Korean water deer (n = 25) and striped field mouse (n = 55). Using traditional culture-based methods, 25 animal fecal samples (31.25%; 25/80) were found to be positive for Bacillus species, whereas using molecular techniques, 19 samples (23.75%; 19/80) were found to be positive for the same. In addition, we designed a Bacillus species-specific 16S ribosomal RNA (rRNA) gene marker and utilized it to identify 19 samples by means of PCR amplification and sequencing, using at least one colony from the 19 Bacillus positive samples. The recovered sequences were matched to sequences of three Bacillus species (B. cereus, B. amyloliquefaciens, and B. megaterium) from the GenBank database. Moreover, the phylogenetic tree generated in this study established specific clades for the Bacillus group. In addition, to differentiate between B. cereus, B. anthracis, and B. thuringiensis, we designed a single nucleotide polymorphism (SNP)-based primer by identifying SNPs in the alignment of 16S rRNA gene sequences of B. cereus group strains. The SNPs were used to design primer sets for discrimination between highly similar species from the B. cereus group. The study could be used in surveillance of agricultural fresh-produce-associated Bacillus outbreaks, for accurate identification of each Bacillus species, and in the development of control measures.