{"title":"Data of annotated draft genome assemblies of three bacterial isolates from the ‘Panchabrihi’ rice, soybean, and bean-associated niches in Bangladesh","authors":"Nusrat Sultana, Abed Chaudhury, Saria Farheen","doi":"10.1016/j.dib.2026.113081","DOIUrl":null,"url":null,"abstract":"<div><div>We have collected the bacterial communities inhabiting the rhizosphere and seed-surface of selected crop plants (‘Panchabrihi’ rice, soybean, and bean) in Bangladesh and created a draft genome assembly database of the isolated bacterial strains. Three bacterial isolates were : A1 from the rhizosphere of Panchabrihi rice, A7 and A10 from the surface of soybean and bean seeds. Whole-genome sequencing, draft genome assembly, BLAST comparison with reference genomes, Nucleotide Identity (ANI), digital DNA-DNA hybridization (dDDH), Average Amino Acid Identity (AAI), phylogenomic analyses, and annotations using Bakta revealed that the isolates are <em>Bacillus cereus</em> A1, <em>Bacillus subtilis</em> A7, and <em>Acinetobacter soli</em> A10. Paired-end Illumina sequencing data, draft genome assembly, and annotations generated were deposited in the NCBI database under BioProject PRJNA1366070. Afterwards, we have analysed the potential of plant growth–promoting (PGP) capacities using the eggNOG-mapper analysis, COG functional classification, secondary metabolite biosynthetic gene cluster analysis using antiSMASH, and KEGG Orthology (KO) completeness analysis. After manual curation of the functional properties of the predicted genes, we found that all three genomes were associated with PGP functions, including nutrient solubilization, phytohormone production, stress tolerance, and root colonization. Additionally, we have also analysed the antibiotic resistance genes (ARGs), mobile genetic elements, virulence-associated genes, toxin genes, and pathogenicity genes of the isolated strains, and generated the respective database. The draft genomes were also found to have several antibiotic resistance determinant genes, mobile genetic elements, virulence-associated genes, and human pathogenic genes. Therefore, we have performed a comparative biosafety risk assessment on all three genomes and concluded that <em>Bacillus subtilis</em> A7 (rather than the A1 and A10) will be a safer option for possible sustainable agricultural practices. We have generated a comprehensive metadata table and submitted all relevant databases to Zenodo. Our databases will be useful for future identification of the potential PGP bacterial strains and for assessing the biosafety traits before agricultural application.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"Article 113081"},"PeriodicalIF":1.9000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340926006293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
We have collected the bacterial communities inhabiting the rhizosphere and seed-surface of selected crop plants (‘Panchabrihi’ rice, soybean, and bean) in Bangladesh and created a draft genome assembly database of the isolated bacterial strains. Three bacterial isolates were : A1 from the rhizosphere of Panchabrihi rice, A7 and A10 from the surface of soybean and bean seeds. Whole-genome sequencing, draft genome assembly, BLAST comparison with reference genomes, Nucleotide Identity (ANI), digital DNA-DNA hybridization (dDDH), Average Amino Acid Identity (AAI), phylogenomic analyses, and annotations using Bakta revealed that the isolates are Bacillus cereus A1, Bacillus subtilis A7, and Acinetobacter soli A10. Paired-end Illumina sequencing data, draft genome assembly, and annotations generated were deposited in the NCBI database under BioProject PRJNA1366070. Afterwards, we have analysed the potential of plant growth–promoting (PGP) capacities using the eggNOG-mapper analysis, COG functional classification, secondary metabolite biosynthetic gene cluster analysis using antiSMASH, and KEGG Orthology (KO) completeness analysis. After manual curation of the functional properties of the predicted genes, we found that all three genomes were associated with PGP functions, including nutrient solubilization, phytohormone production, stress tolerance, and root colonization. Additionally, we have also analysed the antibiotic resistance genes (ARGs), mobile genetic elements, virulence-associated genes, toxin genes, and pathogenicity genes of the isolated strains, and generated the respective database. The draft genomes were also found to have several antibiotic resistance determinant genes, mobile genetic elements, virulence-associated genes, and human pathogenic genes. Therefore, we have performed a comparative biosafety risk assessment on all three genomes and concluded that Bacillus subtilis A7 (rather than the A1 and A10) will be a safer option for possible sustainable agricultural practices. We have generated a comprehensive metadata table and submitted all relevant databases to Zenodo. Our databases will be useful for future identification of the potential PGP bacterial strains and for assessing the biosafety traits before agricultural application.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.