Genome Sequence and Characterization of Bacillus cereus Endophytes Isolated from the Alectra sessiliflora and Their Biotechnological Potential

Bacillus cereus AS_3 and Bacillus cereus AS_5 are bacterial endophytes isolated from sterilized leaves of the medical plant Alectra sessiliflora, which were previously identified using 16S rRNA sequencing. Here, we present the whole-genome sequencing and annotation of strains AS_3 and AS_5, the first genome report of Bacillus cereus strains from A. sessiliflora. The genome of strain AS_3 has 59 contigs, 5 503 542 bp draft circular chromosome, an N50 of 211,274 bp, and an average G+C content of 35.2%; whereas strain AS_5 has 38 contigs, 5,510,121 bp draft circular chromosome, an N50 of 536,033 bp, and an average G+C content of 35.2%. A total of 5679 protein-coding genes, 62 genes coding for RNAs, and 122 pseudogenes in the strain AS_3 genome were identified by the National Center for Biotechnology Information Prokaryotic Annotation pipeline, whereas a total of 5688 gene protein-coding genes were identified in AS_5, with 60 genes coding for RNAs and 120 pseudogenes. Phenotypic analysis and whole-genome sequencing analysis showed that AS_3 and AS_5 share similar characteristics, including Gram-positive, motile, rod-shaped, and endospore-forming have shown a high sequence similarity with Bacillus cereus, type strain ATCC 14579T. Strains AS_3 and AS_5 had genomic digital DNA–DNA hybridization (dDDH) with the type strain Bacillus cereus ATCC 14579T of 85.8% and 86%, respectively, and average nucleotide identities (ANIs) of 98% and 98.01%, respectively. Phylogenomic analysis confirmed that strains AS_3 and AS_5 share very similar genomic and phenotypic characteristics, and are closely related to the type strain Bacillus cereus type strain ATCC 14579T, supporting their classification within the Bacillus cereus species. A total of 10 secondary metabolite gene clusters, including siderophore type petrobactin, terpene type molybdenum cofactor, non-ribosomal peptide synthetase (NRPS) type bacillibactin, and β-lactone type fengycin, were predicted using AntiSMASH software (version 5.0). Putative genes potentially involved in bioremediation and endophytic lifestyle were identified in the genome analysis. Genome sequencing of Bacillus cereus AS_3 and Bacillus cereus AS_5 has provided genomic information and demonstrated potential biotechnological applications.

Authors

Institutions

Publication Details

Journal
Microbiology Research
Published
2025-09-01
DOI
https://doi.org/10.3390/microbiolres16090198
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome Sequence and Characterization of Bacillus cereus Endophytes Isolated from the Alectra sessiliflora and Their Biotechnological Potential

Mahloro Hope Serepa‐Dlamini, Khuthadzo Tshishonga
Microbiology Research
Plant-Microbe Interactions and Immunity
article

Genome Sequence and Characterization of Bacillus cereus Endophytes Isolated from the Alectra sessiliflora and Their Biotechnological Potential

Mahloro Hope Serepa‐Dlamini, Khuthadzo Tshishonga
article en

Abstract

Bacillus cereus AS_3 and Bacillus cereus AS_5 are bacterial endophytes isolated from sterilized leaves of the medical plant Alectra sessiliflora, which were previously identified using 16S rRNA sequencing. Here, we present the whole-genome sequencing and annotation of strains AS_3 and AS_5, the first genome report of Bacillus cereus strains from A. sessiliflora. The genome of strain AS_3 has 59 contigs, 5 503 542 bp draft circular chromosome, an N50 of 211,274 bp, and an average G+C content of 35.2%; whereas strain AS_5 has 38 contigs, 5,510,121 bp draft circular chromosome, an N50 of 536,033 bp, and an average G+C content of 35.2%. A total of 5679 protein-coding genes, 62 genes coding for RNAs, and 122 pseudogenes in the strain AS_3 genome were identified by the National Center for Biotechnology Information Prokaryotic Annotation pipeline, whereas a total of 5688 gene protein-coding genes were identified in AS_5, with 60 genes coding for RNAs and 120 pseudogenes. Phenotypic analysis and whole-genome sequencing analysis showed that AS_3 and AS_5 share similar characteristics, including Gram-positive, motile, rod-shaped, and endospore-forming have shown a high sequence similarity with Bacillus cereus, type strain ATCC 14579T. Strains AS_3 and AS_5 had genomic digital DNA–DNA hybridization (dDDH) with the type strain Bacillus cereus ATCC 14579T of 85.8% and 86%, respectively, and average nucleotide identities (ANIs) of 98% and 98.01%, respectively. Phylogenomic analysis confirmed that strains AS_3 and AS_5 share very similar genomic and phenotypic characteristics, and are closely related to the type strain Bacillus cereus type strain ATCC 14579T, supporting their classification within the Bacillus cereus species. A total of 10 secondary metabolite gene clusters, including siderophore type petrobactin, terpene type molybdenum cofactor, non-ribosomal peptide synthetase (NRPS) type bacillibactin, and β-lactone type fengycin, were predicted using AntiSMASH software (version 5.0). Putative genes potentially involved in bioremediation and endophytic lifestyle were identified in the genome analysis. Genome sequencing of Bacillus cereus AS_3 and Bacillus cereus AS_5 has provided genomic information and demonstrated potential biotechnological applications.

Microbiology ResearchVol. 16(9)
University of Johannesburg (ZA)
National Research Foundation, University of Johannesburg
Openalex Percentile: Top 83%
Plant-Microbe Interactions and Immunity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.