Whole-genome analysis and biosynthetic gene cluster profiling of Stenotrophomonas sp. ASucR1 isolated from Sof Umer Cave, Ethiopia

Sof Umer Cave is a unique habitat that hosts industrially significant microbes. In this study, Stenotrophomonas sp. ASucR1 was isolated from the cave rock and screened for antimicrobial activity. High-molecular-weight genomic DNA was extracted and subjected to whole-genome sequencing using the Illumina NovaSeq platform. Comprehensive genomic and biosynthetic gene cluster (BGC) profiling were conducted. In vitro tests revealed that Stenotrophomonas sp. ASucR1 exhibited a broad spectrum of antagonistic activity. Functional genome annotation identified diverse biosynthetic gene clusters (BGCs) and metabolic pathways, including genes involved in the synthesis of secondary metabolites. A total of 19 BGCs were identified, several of which showed no matches in the minimum information about a biosynthetic gene cluster (MiBIG) database, indicating the presence of previously uncharacterized bioactive compounds. Single nucleotide polymorphism (SNP) analysis showed that 91.5% of variants were identified within coding regions, with 85.84% being synonymous. Classification of SNPs and insertion-deletion mutations through clusters of orthologous groups (COG) analysis highlighted their association with key biological functions. This study highlights the metabolic versatility and biosynthetic potential of Stenotrophomonas sp. ASucR1, a promising candidate for antimicrobial development and biotechnological applications. The identification of various biosynthetic gene clusters paves the way for exploring bioactive compounds with pharmaceutical significance.

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Publication Details

Journal
Electronic Journal of Biotechnology
Published
2025-09-16
DOI
https://doi.org/10.1016/j.ejbt.2025.07.004
Primary Topic
Infections and bacterial resistance
Type
article
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article

Whole-genome analysis and biosynthetic gene cluster profiling of Stenotrophomonas sp. ASucR1 isolated from Sof Umer Cave, Ethiopia

Gessesse Kebede Bekele, Mesfin Tafesse Gemeda, Musin Kelel, Abu Feyisa Meka et al.
Electronic Journal of Biotechnology
Infections and bacterial resistance
article

Whole-genome analysis and biosynthetic gene cluster profiling of Stenotrophomonas sp. ASucR1 isolated from Sof Umer Cave, Ethiopia

Gessesse Kebede Bekele, Mesfin Tafesse Gemeda, Musin Kelel, Abu Feyisa Meka, Selfu Girma Gebre
article en

Abstract

Sof Umer Cave is a unique habitat that hosts industrially significant microbes. In this study, Stenotrophomonas sp. ASucR1 was isolated from the cave rock and screened for antimicrobial activity. High-molecular-weight genomic DNA was extracted and subjected to whole-genome sequencing using the Illumina NovaSeq platform. Comprehensive genomic and biosynthetic gene cluster (BGC) profiling were conducted. In vitro tests revealed that Stenotrophomonas sp. ASucR1 exhibited a broad spectrum of antagonistic activity. Functional genome annotation identified diverse biosynthetic gene clusters (BGCs) and metabolic pathways, including genes involved in the synthesis of secondary metabolites. A total of 19 BGCs were identified, several of which showed no matches in the minimum information about a biosynthetic gene cluster (MiBIG) database, indicating the presence of previously uncharacterized bioactive compounds. Single nucleotide polymorphism (SNP) analysis showed that 91.5% of variants were identified within coding regions, with 85.84% being synonymous. Classification of SNPs and insertion-deletion mutations through clusters of orthologous groups (COG) analysis highlighted their association with key biological functions. This study highlights the metabolic versatility and biosynthetic potential of Stenotrophomonas sp. ASucR1, a promising candidate for antimicrobial development and biotechnological applications. The identification of various biosynthetic gene clusters paves the way for exploring bioactive compounds with pharmaceutical significance.

Electronic Journal of BiotechnologyVol. 78
Bule Hora University (ET), Addis Ababa Science and Technology University (ET), Armauer Hansen Research Institute (ET)
Openalex Percentile: Top 79%
Infections and bacterial resistance
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