Objectives The urgent need for novel antibiotics cannot be overemphasized. Hafnia alvei A23BA was isolated from plant rhizosphere as part of an effort to recover novel antibiotic-producing bacterial strains from soil samples. The genome of the isolate was sequenced to facilitate mining for potential antibiotic-encoding biosynthetic gene clusters and to gain insights into how these gene clusters could be activated. Data description Here, we report the complete genome sequence of H. alvei A23BA obtained from the hybrid assembly of Illumina HiSeq and GridION reads. The genome, consisting of a circular chromosome and a circular plasmid, is 4.77 Mb in size with a GC content of 48.77%. The assembly is 99.5% complete with genomic features including 4,217 CDSs, 125 RNAs, and 30 pseudogenes. Thiopeptide, beta-lactone, siderophore, and homoserine lactone biosynthetic gene clusters were also identified. Other gene clusters of interest include those associated with bioremediation, biocontrol, and plant growth promotion- all of which are reported for H. alvei for the first time. This dataset serves to expedite the exploration of the biosynthetic and metabolic potentials of the species. Furthermore, being the first published genome sequence of a soil isolate, this dataset enriches the comparative genomics study of H. alvei strains.

Objectives The role of rhizosphere microbiome in supporting plant growth under biotic stress is well documented. Rhizobacteria ward off phytopathogens through various mechanisms including antibiosis. We sought to recover novel antibiotic-producing bacterial strains from soil samples collected from the rhizosphere. Pseudomonas fragi A13BB was recovered as part of this effort, and the whole genome was sequenced to facilitate mining for potential antibiotic-encoding biosynthetic gene clusters. Data description Here, we report the complete genome sequence of P. fragi A13BB obtained from de novo assembly of Illumina MiSeq and GridION reads. The 4.94 Mb genome consists of a single chromosome with a GC content of 59.40%. Genomic features include 4410 CDSs, 102 RNAs, 3 CRISPR arrays, 3 prophage regions, and 37 predicted genomic islands. Two β-lactone biosynthetic gene clusters were identified; besides, metabolic products of these are known to show antibiotic and/or anticancer properties. A siderophore biosynthetic gene cluster was also identified even though P. fragi is considered a non-siderophore producing pseudomonad. Other gene clusters of broad interest identified include those associated with bioremediation, biocontrol, plant growth promotion, or environmental adaptation. This dataset unveils various un−/underexplored metabolic or biosynthetic potential of P. fragi and provides insight into molecular mechanisms underpinning these attributes.

The urgent need for new antibiotics cannot be overemphasized. Bacterial secondary metabolites remain a relatively untapped source of new therapies. The ability to produce these bioactive compounds is however not universal to all bacterial species. Two key indicators are bacterial genome size (>3 Mb), and the presence of antibiotic-encoding biosynthetic gene cluster (BGCs) within the genomes. BGC distribution is largely determined by phylogeny. Another attribute of some antibiotic producers is the ability to withstand nutritional stress. We exploited these attributes to isolate and identify potential antibiotic producers. A minimal substrate medium was used to isolate nutritionally versatile bacterial strains from topsoil collected from the rhizosphere. The genera of isolates were identified by 16S rRNA gene sequence comparison as Pseudomonas, Hafnia and Obesumbacterium. The typical genome size of species in these genera are 6.2 Mb, 4.7 Mb and 5.0 Mb respectively. The antiSMASH database was browsed by phylogeny to determine the distribution pattern of BGCs in these genera. Pseudomonas strains have an average of 7 BGCs within their genomes that may encode antibiotics, whilst Hafnia and Obesumbacterium strains have 2 and 0 respectively. Therefore, the isolated Pseudomonas strain has the greatest potential to biosynthesis antibiotics. However, the biosynthetic potential of other isolates may be understated given the typical genome size of species in their genera, and their ecological origin. Consequently, all isolates are prime candidates for the next stage of the project which involves genome mining for cryptic or silent genes that may encode novel compounds with antibiotic properties. More isolates are also being recovered.