Peribacillus sp. AS_2, a leaf endophytic bacterium isolated from the medicinal plant Alectra sessiliflora, was previously identified using the 16S rRNA gene sequence. The draft genome of AS_2 had a 5,482,853 bp draft circular chromosome, 43 contigs, N₅₀ of 360,633 bp and an average G + C% content of 40.5%. Whole genome sequencing and phenotypic analysis showed that AS_2 was Gram-positive, endospore-forming, motile, and rod-shaped and it showed a high sequence similarity with P. frigoritolerans DSM 8801^T. Genomic digital DNA–DNA hybridisation (dDDH) between strain AS_2 and Peribacillus frigoritolerans DSM 8801^T and P. castrilensis N3^T was 84.8% and 79.2%, respectively, and the average nucleotide identity (ANI) of strain AS_2 with P. frigoritolerans DSM 8801^T and P. castrilensis N3^T was 97.0% and 96.7%, respectively. The antiSMASH software predicted a total of eight secondary metabolite gene clusters comprising non-ribosomal peptide synthetase (NRPS) type koranimine, terpenes, and siderophore clusters. Strain AS_2 also displayed genes involved in endophytic lifestyle and antibiotic resistance gene clusters such as small multidrug resistance antibiotic efflux pumps (qacJs). Using the multilocus sequence analysis (MLSA), together with the phenotypic data and genomic analysis, we demonstrated that strain AS_2 is a subspecies of P. frigoritolerans DSM 8801^T. Genome sequencing of Peribacillus sp. AS_2 from medicinal plants provides valuable genomic information and allows us to further explore its biotechnological applications.

Plants harbor varied communities of bacterial endophytes which play a crucial role in plant health and growth. Dicoma anomala is a medicinal plant that is known for its excellent ethnomedicinal uses which include treatment of coughs, fever, ulcers, and dysentery. This data in Brief article provides information on the diversity of bacterial endophytes associated with a medicinal plant, Dicoma anomala targeting the 16S rRNA gene using Illumina sequencing technology during three different seasons. Plant samples were collected in Eisleben, Limpopo province, South Africa, in the months of April, June, August and October 2018. The dataset revealed that the leaf samples collected in August had the highest species diversity as indicated by the Shannon index (4.25), Chao1 (1456.01), abundance-based coverage estimator (ACE) (1492.07) and the Simpson indices of diversity (0.05) irrespective of the species. The order of the bacterial endophyte's richness in D. anomala was April> October> June> August, from lowest to highest. The taxonomic composition analysis showed that most endophytic bacteria were composed of Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes and Chloroflexi. Some endophytic bacteria were found to be tissue specific. Sequences of Cutibacterium, Acinetobacter and Methylobacterium were prevalent in the leaves, whereas Amycolatopsis and Bradyrhizobium were the dominant genera in the root samples.