BMC genomic data最新文献

{"title":"Genome-wide identification and characterization of the RNAi gene families in Brassica rapa L. highlighting their regulatory components and underlying functions involving crop improvement.","authors":"Zobaer Akond, Sheikh Hasna Habib, Fee Faysal Ahmed, Md Nurul Haque Mollah","doi":"10.1186/s12863-026-01441-7","DOIUrl":"10.1186/s12863-026-01441-7","url":null,"abstract":"<p><strong>Background: </strong>Brassica rapa is an oilseed crop used for vegetable oil production, with applications in both human consumption and industrial purposes. RNAi-guided gene families play crucial roles in plant growth and development by regulating gene expression in response to various pathogens and abiotic stressors. However, these gene families in this species have not yet been studied in detail. Therefore, this research aims to explore the major RNAi genes, including their characterization and underlying functions for crop improvement.</p><p><strong>Results: </strong>Our analysis identified 4 BrDCL, 13 BrAGO, and 6 BrRDR genes from the Brassica rapa genome. Phylogenetic analysis revealed that the identified genes were evolutionarily related to the RNAi genes in Arabidopsis. The domain, exon-intron, and motif structures of genes and proteins were very similar to those of A. thaliana. Moreover, sequence logo and relative frequency analysis showed that lysine (K), serine(S), valine (V), leucine (L), and glutamic acid (E) were highly significant (p < 0.01) amino acids in motifs. The genes were distributed across the 10 chromosomes, and segmental duplication was observed in BrAGO1 and BrAGO4. GO analysis showed that genes were involved in important biological processes such as defense response to virus (p < 0.01), post-transcriptional gene silencing (p < 0.01), etc., and molecular pathways, for example, RNA polymerase activity (p < 0.01), siRNA binding(p < 0.01), etc. The largest number of genes was associated with the nucleus, chloroplast, and cytosol. Trans-regulatory analysis showed that the top-ranked TF families accounted for 393 (78%) of 502 regulators, including Dof 115 (23%), bZIP 58(11.55%), C2H2 49(9.76%), ERF 30(6%), BBR-BPC 29(5.77%), MICK-MADS 23(4.58%), MYB, TCP, and WRKY each 23 (4.58%), with AP2 regulating 21(4.18%) TFs. Gene-TF network analysis showed that eight key TF families were highly connected to RNAi genes. The associated cis-acting elements were classified as hormone, light, and various stress-responsive. 10 key RNAi genes interacted with most of the TFs, comprising 302 TFs (~61%), among which BrAGO1a (48 TFs~10%) and BrAGO1b (40 TFs~8%) were influential. Expression analysis demonstrated that most genes showed expression in the root, seeds, flowers, leaves of seedlings, silique, and seed coats.</p><p><strong>Conclusion: </strong>Overall results would provide valuable resources for improving stress-tolerant transgenic lines by initiating knockdown of negative regulators of stress responses, increasing defense-related gene expression, or generating host-induced gene-silencing molecules that target pathogens and pests. Also, by manipulating BrRNAi genes, one can significantly improve crop traits such as disease resistance, abiotic stress tolerance, and crop yield with quality in B. rapa.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13270820/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148229521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: AgroLD: a knowledge graph for the plant sciences.","authors":"Pierre Larmande, Bertrand Pittolat, Ndomassi Tando, Yann Pomie, Bill Gates Happi Happi, Valentin Guignon, Manuel Ruiz","doi":"10.1186/s12863-026-01448-0","DOIUrl":"10.1186/s12863-026-01448-0","url":null,"abstract":"","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"27 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13262414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148229548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complete genome sequence of Streptococcus lingualis isolated from subgingival biofilm.","authors":"Seok Bin Yang, Doyun Ku, Kyu Hwan Kwack, Eun-Young Jang, Soo-Kyung Jun, Ji-Hoi Moon, Jae-Hyung Lee","doi":"10.1186/s12863-026-01450-6","DOIUrl":"10.1186/s12863-026-01450-6","url":null,"abstract":"<p><strong>Objective: </strong>Streptococcus lingualis is a recently described oral streptococcal species; however, genomic information for this species remains limited, with only a single complete genome currently available for the type strain S5ᵀ. The objective of this study was to generate a high-quality complete genome sequence of a subgingival biofilm-derived S. lingualis isolate and expand the genomic resources available for this species.</p><p><strong>Data description: </strong>The S. lingualis strain KHUD_012 was isolated from subgingival biofilm of a healthy adult and sequenced using the PacBio Sequel IIe platform. A single SMRT cell produced 144,821 HiFi reads, which were assembled de novo using the IPA HiFi genome assembler v2.0. The complete genome consists of a single circular chromosome of 2,115,610 bp with a G + C content of 42.0%, encoding 1,956 protein-coding genes, four rRNA operons, and 62 tRNAs. BUSCO analysis indicated 99.5% completeness. Pairwise whole-genome comparisons with closely related type strains showed that KHUD_012 was most closely related to S. lingualis S5ᵀ, with an OrthoANI value of 96.44%, and Parsnp-based core-genome SNP analysis supported this phylogenetic placement. Comparative genomic analysis with S5ᵀ identified 1,717 shared core gene clusters and 198 unique gene clusters in KHUD_012, many of which were functionally uncharacterized.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13471454/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148206431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Draft genome sequence of Staphylococcus saprophyticus strain 3M isolated from milk of cows with subclinical mastitis in Uganda.","authors":"Reagan Muhwezi, G R Neel, Emmanuel Eilu, Vidya Sankarapandian, Ambrose Shabohurira, Musoba Abubakar, Theophilus Pius, Priscilla Peter Dilli, Naheem Adekilekun Tijani, Danladi Makeri","doi":"10.1186/s12863-026-01447-1","DOIUrl":"10.1186/s12863-026-01447-1","url":null,"abstract":"<p><strong>Objective: </strong>This study presents the draft genome sequence of Staphylococcus saprophyticus strain 3M isolated from a cow with subclinical mastitis (SCM) in Kiruhura district, Uganda and explores the isolates resistance and virulence potential.</p><p><strong>Data description: </strong>The assembled genome size was 2,791,445 bp with a 33% GC, 13 Contigs, Contig N50 2,589,240, Contig L50 1 and 2,791,440x Genome coverage. Check M analysis revealed 68.25% completeness. Average Nucleotide Identity (ANI) analysis revealed Staphylococcus saprophyticus subsp. saprophyticus ATCC 15,305 = NCTC 7292(GCA_006094355.1) as the closest type strain with an ANI of 99.52%, 87.49% assembly coverage, 93.95% type assembly coverage, confirming species-level identity and close relatedness. Screening with the Comprehensive Antibiotic Resistance Database (CARD) and the Virulence Factor Database (VFDB) revealed several genes conferring resistance to different classes of antibiotics: antibiotic tet (K)- Tetracyclines, norA, YkkCD, ANT (6)-I, str, and S12p- Aminoglycosides. And also, Virulence factors included: Agr- biofilm and toxins release, TcaR- Protein A, MprF- resist the host's innate immune system (specifically, antimicrobial peptides). Other genome characteristics are presented in Table 1 below. Table 1 Data availability, genome statistics and features of strain 3M Parameter Value Genes 2,885 CDSs 2,801 rRNAs 7, 6, 6 (5 S, 16 S, 23 S) tRNAs 61 ncRNAs 4.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459452/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148165804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Whole-genome sequence of Rahnella aceris HPDA25 isolated from mycorrhizosphere of Gastrodia elata.","authors":"Wenshu Zou, Kangchen Liu, Xiaoai Li, Shuyuan Cheng, Pengjie Han, Honghong Jiao, Zhongyi Hua, Tianrui Liu, Yuan Yuan","doi":"10.1186/s12863-026-01444-4","DOIUrl":"10.1186/s12863-026-01444-4","url":null,"abstract":"<p><strong>Objectives: </strong>The growth, development, and accumulation of active compounds in Gastrodia elata are influenced by its mycorrhizosphere bacteria, which indirectly enhances host nutrition by stimulating the growth of the orchid mycorrhizal fungus Armillaria gallica. However, data on the mycorrhizosphere bacterial community of G. elata, especially on key functional strains, remain limited, restricting their application in medicinal plant cultivation. Here, we report the complete genome sequence of the plant growth-promoting bacterium Rahnella aceris HPDA25, which was isolated from the mycorrhizosphere of G. elata and promotes the growth of A. gallica.</p><p><strong>Data description: </strong>The genome sequence of Rahnella aceris HPDA25, isolated from the mycorrhizosphere of Gastrodia elata, is presented in this paper. The genome of R. aceris HPDA25 was sequenced using the PacBio Sequel platform and assembled into a 5.63 Mb genome comprising one circular chromosome and two circular plasmids, with a contig N50 of 4.98 Mb. Genome completeness and contamination were estimated with CheckM v1.2.3 to be 100.00% and 5.46%, respectively. Gene prediction identified multiple genomic features, including tRNAs, rRNAs, CRISPR loci, genomic islands and prophages. Functional annotation against public databases revealed extensive representation of Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Clusters of Orthologous Groups (COG) categories, as well as genes related to antibiotic resistance, virulence and pathogen-host interactions. This dataset refines our understanding of bacterial assemblages in the G. elata mycorrhizosphere and provides a genomic resource for dissecting the mechanisms by which HPDA25 promotes fungal and plant growth.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148165832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"16S rRNA gene amplicon data of midgut microbial diversity in German cockroach, Blattella germanica.","authors":"Kok Yean Von, Abdul Hafiz Ab Majid","doi":"10.1186/s12863-026-01449-z","DOIUrl":"10.1186/s12863-026-01449-z","url":null,"abstract":"<p><strong>Objectives: </strong>Blattella germanica, commonly known as German cockroach, is a globally prevalent household pest. The gut microbiota of B. germanica is influenced by multiple factors, yet their interactive effects remain poorly understood compared with other insect taxa. Midgut-specific microbial communities also remain understudied relative to whole gut or hindgut microbiota. In this study, 16S rRNA gene sequencing datasets were generated from midgut samples collected across varying life stages (adult and nymph), sexes (male and female), environmental origins (laboratory-reared and field-collected), and physiological states (fed and starved).</p><p><strong>Data description: </strong>Genomic DNA was extracted using the HiYield Genomic DNA isolation kit and amplified targeting the V3-V4 hypervariable regions of the 16S rRNA gene using primer pair 338 F/806R. Raw sequences reads were subsequently analyzed using QIIME2 pipeline following quality control and host decontamination. Taxonomic classification consistently identified the bacterial families Lactobacillaceae, Desulfovibrionaceae, Lachnospiraceae, Dysgonomonadaceae, Christensenellaceae, and Rikenellaceae across all treatment groups. Diversity indices (Shannon, Simpson, and Chao1) showed similar trends across samples, indicating stable patterns of microbial diversity and richness. These datasets support the exploration of specific midgut-associated taxa as potential targets for biological control strategies against B. germanica.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13449682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148159051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic polymorphism of SNPs rs9399137 and rs4895441in HBS1L-MYB and SNP rs766432 in BCL11A among β-thalassemia Egyptian patients.","authors":"Abdelrahman A Abdelrahman, Randa M Talaat, Ibrahim Abdo El-Halfawy, Mohamed Ramzy Alalwi, Dina Malak Yousef Rizk","doi":"10.1186/s12863-026-01436-4","DOIUrl":"10.1186/s12863-026-01436-4","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to evaluate the role of two genetic polymorphisms (rs9399137 and rs4895441) in the HBS1L-MYB and rs766432 of BCL11A genes as determinant HbF level and disease severity in Egyptian β-thalassemia patients.</p><p><strong>Methods: </strong>Blood samples were obtained from 100 participants, comprising 50 individuals with β-thalassemia and 50 healthy controls. Hematological assessment was conducted through complete blood count (CBC), ferritin measurement, and hemoglobin electrophoresis. After genomic DNA extraction was done, HBS1L-MYB (rs9399137 and rs4895441) SNPs and rs766432 of BCL11A were all assessed by ARMS-PCR .The HBS1L-MYB rs4895441 assessed by RFLP-PCR with the restriction enzyme (RSA1).</p><p><strong>Results: </strong>The genotypic frequencies of the rs766432 SNP of BCL11A and rs9399137 indicated that the genotype frequencies of these SNPs were significantly associated with severity of β thalassemia but there was no significant association between β-thalassemia severity and rs895441 SNP of HSB1L-MYB.</p><p><strong>Conclusions: </strong>In Egyptian β-thalassemia patients, rs766432 in BCL11A and rs9399137 in HBSIL-MYB were found to significantly increase HbF levels, but rs4895441 was not. New tailored management techniques to decrease transfusion needs can be developed based on these findings, which show how genetic and clinical factors affect the severity of β-thalassemia. Further research involving a larger sample size and additional modifier genes is needed.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"27 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13235190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148158996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Draft genome of novel Streptomyces sp. strain JW3 selected for its inhibition of other Streptomyces spp.","authors":"Jaouad Anissi","doi":"10.1186/s12863-026-01445-3","DOIUrl":"10.1186/s12863-026-01445-3","url":null,"abstract":"<p><strong>Objectives: </strong>Despite decades of extensive investigation, Streptomyces species continue to represent a vast and rich reservoir of novel bioactive compounds. Accordingly, genome mining remains a powerful and strategic approach for the discovery of new candidate drugs. The objective of the present study is to generate a high-quality, assembled, and functionally annotated draft genome of a novel Streptomyces species, providing a robust genomic framework for downstream comparative and biosynthetic analyses.</p><p><strong>Data description: </strong>Here, we report the first assembled and annotated draft genome of the novel soil-derived Streptomyces sp. strain JW3. High-throughput sequencing of Streptomyces sp. strain JW3 genome generated approximately 1.6 million reads, corresponding to a total of 465.4 million bases and an effective sequencing yield of 157.3 Mb. De novo assembly produced a draft genome of 8.3 Mb distributed across 341 contigs, with an N₅₀ contig length of 52.1 kb. This genome constitutes a valuable genomic resource that will facilitate comparative analyses with other Streptomyces species. Such analyses are expected to advance our understanding of the genetic diversity, metabolic capacity, and biosynthetic potential of this genus.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13450278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148152402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the functional role of palmitoylation genes in clear cell renal cell carcinoma and their impact on tumor microenvironment.","authors":"Junwu Li, Hai Chang, Haoyu Xu, Yuanyuan Bai, Wei Tang","doi":"10.1186/s12863-026-01443-5","DOIUrl":"10.1186/s12863-026-01443-5","url":null,"abstract":"<p><strong>Objective: </strong>The current work focused on elucidating the regulatory mechanisms of palmitoylation-related genes (PRGs) in influencing the occurrence and development of clear cell renal cell carcinoma (ccRCC), and identifying possible biomarkers and therapeutic targets.</p><p><strong>Methods: </strong>Integrative analyses were performed using multiple databases. Two-sample Mendelian randomization (MR) was first applied for identifying PRGs causally associated with ccRCC. Findings were then validated by summary-data-based Mendelian randomization (SMR), bioinformatics analyses, and experimental verification. Functional enrichment and molecular docking were used to predict target interactions, while single-cell transcriptomic analysis was performed for assessing the relations of key PRGs with the tumor microenvironment (TME). Mediation analysis further explored upstream and downstream regulatory mechanisms.</p><p><strong>Results: </strong>In total, 22 PRGs associated with ccRCC were identified. Among these, ZDHHC18 emerged as a significant risk factor based on both MR and SMR results. Bioinformatics, molecular docking, and laboratory assays revealed that ZDHHC18 was upregulated and validated LYPLA2 as its downstream palmitoylation target. Pathway enrichment and single-cell analyses indicated that ZDHHC18 might shape immune heterogeneity in ccRCC by influencing multiple immune cell populations within the TME. Mediation analysis suggested that mitochondrial DNA copy number (mtDNA-cn) regulated ZDHHC18 expression, which in turn promoted ccRCC progression through four specific immune cell traits.</p><p><strong>Conclusion: </strong>This study defines an mtDNA-cn-ZDHHC18-immune cell traits axis that mechanistically links mitochondrial function, palmitoylation, and immune modulation in ccRCC. These findings expand the current understanding of palmitoylation in renal cancer biology and identify ZDHHC18 as a potential metabolic-immune regulator and therapeutic target.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13435684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148102413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complete genome sequence of Bacillus pseudomycoides CHAES I 2_2, a PHA-producing bacterium isolated from benthal deposits of the chornobyl NPP water cooling pond.","authors":"Alina Kharchuk, Maksym Kharchuk, Maksym Kharkhota, Larysa Mozhaieva, Liliia Avdieieva","doi":"10.1186/s12863-026-01442-6","DOIUrl":"10.1186/s12863-026-01442-6","url":null,"abstract":"<p><strong>Objectives: </strong>Bacillus pseudomycoides, a member of the Bacillus cereus group, is widely distributed in soil and plant-associated environments, where it contributes to ecological interactions through the production of diverse bioactive compounds. Strains of this species are recognized for their capacity to synthesize compounds that enhance stress tolerance and promote overall environmental persistence. In this study, we evaluated the metabolic potential of B. pseudomycoides CHAES I_2_2, isolated from Chornobyl NPP water cooling pond sediments, using whole-genome analysis to characterize radiation resistance determinants and biotechnologically relevant secondary metabolite biosynthetic gene clusters.</p><p><strong>Data description: </strong>We isolated Bacillus pseudomycoides CHAES I_2_2 from benthic sediments of the Chornobyl NPP cooling pond and generated its draft genome sequence. The assembled genome comprises 5,154,520 bp with 35.5% GC content. Genome annotation identified 60 tRNAs, 5 rRNAs, and 4,955 protein-coding sequences. Genome analysis confirmed the presence of a complete polyhydroxyalkanoate biosynthesis gene cluster. The strain possessed genes involved in radiation stress adaptation, including DNA repair, oxidative stress response, sporulation, as well as a paeninodin-like lassopeptide biosynthetic gene cluster and a bacillibactin-type NRPS siderophore cluster. These genomic findings underscore the stress resilience and biotechnological potential of the studied strain.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13430744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148058519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}