Antibacterial activity and genomic characterisation of a novel Brevibacillus laterosporus XJ-24-3 isolated from Xinjiang, China
Data publikacji: 17 wrz 2025
Otrzymano: 10 sty 2025
Przyjęty: 12 wrz 2025
DOI: https://doi.org/10.2478/jvetres-2025-0039
Słowa kluczowe
© 2025 Ming Wu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Antibiotics play a crucial role in preventing and controlling bacterial infections. However, the widespread and irrational misuse of antimicrobial drugs in the treatment of human and veterinary medicine diseases has led to alarming consequences. This misuse not only undermines the effectiveness of clinical treatments for bacterial infections but also contributes to the rise of multidrug-resistant (MDR) bacteria and exacerbates the already severe threat to global public health (1, 15). In livestock production, the prophylactic and growth-promoting use of antibiotics has strengthened the prevalence of MDR pathogens in farm environments, compromising animal welfare and increasing the risk of zoonotic transmission through the food chain (8). Food-borne pathogens such as
Existing studies have shown that various
To develop probiotic products with effective antimicrobial properties for livestock, a novel
The strain’s antimicrobial functionality may be exploitable as a sustainable alternative to conventional antibiotics in feed systems. Its application could reduce antimicrobial dependence, enhance food safety and mitigate zoonotic risks. Our findings reveal some of the underexplored potential of environmental microbiomes in combating antimicrobial resistance and represent preparatory work for veterinary medicinal preparation development.
The Gram-positive bacteria against which the XJ-24-3 strain of
Soil samples collected from pastoral areas in Xinjiang were carefully labelled. A 10 g portion of soil was added to 100 mL of 1% peptone culture solution and incubated at 37°C with shaking at 180 rpm for 1 h. Subsequently, the obtained culture solution was placed in a water bath at 80°C for 30 min. Finally, it was serially diluted and spread onto LB solid culture plates (4), which were incubated at 37°C for 24 h. Gram staining was performed on the wrinkled colonies growing on LB plates, followed by microscopic observation under an oil immersion lens to primarily observe the spore morphological characteristics of the isolated strains. Bacteria with lateral spores were labelled for subsequent processing. To screen for
The specific upstream primer 27F (5′-AGAGTTTGATCCTGGGCTCAG-3′) and downstream primer 1492R (5′-GGTTACCTTGTTACGACTT-3′), designed based on the 16S rRNA gene of bacteria, were employed for the molecular biological identification of the isolated strains. Genomic DNA was extracted from the isolates using a Bacterial Genomic DNA Extraction Kit (TaKaRa Bio, Kusatsu, Japan). The PCR reaction system included 21 μL of water, 1 μL each of the 27F and 1492R primers (0.2 μmol/L), 25 μL of 2× Premix Ex Taq (TaKaRa Bio) and 2 μL of DNA template. The reaction conditions were as follows: pre-denaturation: 95°C for 5 min; followed by 30 cycles, each cycle consisting of denaturation at 95°C for 40 s, annealing at 52°C for 40 s and extension at 72°C for 50 s; finally, a final extension at 72°C for 5 min. The PCR products were analysed using electrophoresis in 1% agarose gel. Subsequently, the amplified fragments were recovered using a DNA recovery kit (TaKaRa Bio) and sequenced. The sequencing results were compared to reference sequences
Briefly, the XJ-24-3 isolate was inoculated into fresh Landy’s medium at 1% inoculum and incubated at 37°C for 48 h. At different time points, 200 μL of the bacterial solution was transferred to 96-well plates and placed in an enzyme label reader at 37°C, and the 600 nm wavelength optical density (OD600) value was measured every 3 h for the strain’s growth curve to be plotted. Gram staining was performed on the culture fluids at 8, 16, 24, and 32 h of cultivation, respectively, and the morphological characteristics of XJ-24-3 at different stages were observed under an oil immersion lens. Simultaneously, in the logarithmic growth phase of the XJ-24-3 bacterium in solution, it was inoculated onto 5% sheep blood agar plates and incubated at 37°C for 24 h. The haemolytic activity of XJ-24-3 on the 5% sheep blood agar plates was observed and documented. The isolate was also inoculated into Landy’s basal medium and cultured overnight at 32°C. The OD600 value of the bacterial suspension was adjusted to 0.2, corresponding to approximately 108 CFU/mL of live bacteria. A 100 μL aliquot of the suspension was evenly spread onto the surface of LB solid medium, and drug-sensitive paper discs with drug concentrations detailed in Supplementary Table 2 were then placed onto the surface. After overnight incubation at a constant 37°C, the diameter of the inhibition zones was measured, and the strain’s antibiotic sensitivity was analysed.
Briefly, the preparation of the sterile supernatant referred to the previous description. For the preparation of the bacterial suspension, the bacterial pellet was washed four times with 1× phosphate-buffered saline (PBS, pH 7.4) with an equal volume of the supernatant. To evaluate the antimicrobial activity of XJ-24-3, an overnight culture of MRSA at logarithmic phase was diluted to an OD600 ≈ 0.2 and spread onto solid LB medium using a cotton swab. Three wells were made per Petri dish, into which 100 μL of XJ-24-3 bacterial suspension, cell-free supernatant, and PBS were added respectively. Plates were subsequently incubated at 37°C for 24 h. After incubation, inhibition zone diameters were measured. The antimicrobial spectrum of strain XJ-24-3 was assessed using various Gram-positive and Gram-negative bacteria as indicator strains. To further evaluate the antimicrobial activity, the cell-free supernatant of XJ-24-3 was added to an overnight-cultured MRSA suspension at logarithmic growth phase and incubated at 37°C with 180 rpm shaking. Samples were collected at 0, 1, and 2 h of incubation. The MRSA culture samples were centrifuged, and the harvested MRSA cells were washed and resuspended in PBS (pH 7.4). The cells were subsequently fixed with Glutaraldehyde, 2.5% (EM Grade; Solarbio, Beijing, China) and stored at 4°C overnight. Finally, samples were analysed by SEM to observe the effects of strain XJ-24-3 on MRSA.
The genomic DNA of the XJ-24-3 isolate was extracted following the protocol described in the Bacterial Genomic DNA Extraction Kit (TaKaRa Bio). Subsequently, whole-genome sequencing of the XJ-24-3 isolate was conducted. The raw sequencing data underwent initial quality control and filtration using FASTP software, ensuring that only high-quality data were retained for downstream analyses (12). Genome assembly and scaffolding were carried out with SPAdes software, utilising the filtered data (32). To enhance the quality of the assembled genome, gaps within the scaffolds were closed using GapFiller software (7). The assembled genome’s quality was then rigorously assessed using QUAST (16) and CheckM (30) software. Additionally, the structural features of the genome were examined by mapping the genome loops of the XJ-24-3 isolate with the IPGA v1.09 online tool (23). Further processing of the whole-genome sequencing results included Gene Ontology (GO) knowledgebase functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) signalling pathway enrichment, Carbohydrate Active Enzyme (CAZy), Cluster of Orthologous Group (COG) and Transporter Classification Database (TCDB) analyses.
The secondary metabolites of the
Five strains of bacteria with lateral spores (XJ-24-1–5) (Fig. 1A) were successfully isolated from soil samples collected in pastoral areas of Xinjiang. The colony morphology of the five lateral spore-forming bacteria on LB-agar plates was identical, featuring irregular edges, opaque texture, and light yellow colour (Supplementary Fig. 1A). Detection by the agar well diffusion method showed that three strains exhibited antibacterial activity, among which the isolate XJ-24-3 had the strongest antibacterial activity (Fig. 1B). The biochemical identification results of these five lateral spore-forming bacteria were consistent with those of

Isolation and identification of
The growth curve results revealed that XJ-24-3 entered the logarithmic growth phase after 3 h of incubation, during which it reproduced rapidly, leading to a significant increase in bacterial density. Following 15 h of incubation, the strain transitioned into the plateau phase (Supplementary Fig. 2). The morphology of XJ-24-3 varied at different culture stages: it appeared as long rod-shaped during the logarithmic phase, short rod-shaped during the stationary phase, gradually formed lateral spores in the decline phase, and eventually developed into complete spores (Supplementary Fig. 1C–F). The haemolytic test results indicated that all three strains of
The supernatant from XJ-24-3 culture supernatant demonstrated strong antibacterial activity against both Gram-positive bacteria such as MRSA,

Determination of antibacterial activity of the
The whole genome sequence of the XJ-24-3 isolate was 5,326,056 base pairs (bp) in length, with an N50 length (the sequence length at which 50% of the genome assembly is contained in contigs of this length or longer) of 122,366 bp and a guanine and cytosine content of 40.3%. The number of coding genes was predicted to be 5,039, with a total coding region length of 4,522,398 bp, resulting in an average gene length of 897 bp. This coding region accounted for 84.91% of the total genome sequence. Additionally, 13 genomic islands and 29 prophages were identified. Among the predicted non-coding RNAs, 106 tRNAs and 8 annotated sRNAs were annotated, which are shown in the XJ-24-3 circular genome map (Fig. 3). The genome contained 261 dispersed repetitive sequences.

Genome map of the
A total of 11,911 genes were annotated through GO enrichment analysis (Fig. 4A). Of these, 6,320 genes (53.1%) were associated with biological processes, primarily involving metabolic activities, cellular functions and localisation. Additionally, 1,196 genes (10.0%) were classified under cellular components, predominantly related to cells and their structural components. In the category of molecular function, 4,395 genes (36.9%) were annotated, with the majority associated with catalytic activity and binding functions. Analysis in the KEGG system revealed 2,012 coding genes involved in various pathways (Fig. 4B). Of these, 1,126 genes enriched metabolic in pathways, with significant enrichment in those related to carbohydrate metabolism (208 genes), amino acid metabolism (205 genes) and cofactor and vitamin metabolism (174 genes). Furthermore, 318 genes were found to operate in environmental sensing pathways, primarily concentrated in membrane transport (174 genes) and signal transduction (143 genes) pathways. An additional 59 genes were involved in pathways such as cellular processes (201 genes), genetic information processing (194 genes) and organismal systems.

Functional annotation of the genome of the
One-hundred and seventy-one genes associated with carbohydrate-active enzyme families were predicted using the CAZy database (Fig. 4C). Among these, 70 were classified as glycoside hydrolase genes (40.9% of the total), 44 as glycosyl transferase genes (25.7%) and 43 as carbohydrate binding module genes (25.1%). Additionally, 17 carbohydrate esterase genes and 2 oxidoreductase genes were detected, while no polysaccharide lyase genes were found in XJ-24-3. These findings suggest that XJ-24-3 possesses the enzymatic capacity for carbohydrate metabolism through the expression of key enzymes, such as glycoside hydrolases and glycosyltransferases. A total of 3,182 functional genes were annotated through COG analysis (Fig. 4D). Among these, 323 genes (10.2%) were associated with transcriptional regulation, and 362 genes (11.4%) were linked to amino acid transport and metabolism. Additionally, 201 genes (6.3%) were involved in carbohydrate transport and metabolism. The proportions of other functional annotations were as follows: translation, ribosome structure and biosynthesis accounted for 7.29%; the annotation that they were cell wall, membrane and envelope biosynthesis genes was ascribed to 5.75%; signal transduction mechanisms represented 6.69%; coenzyme transport and metabolism made up 6.60%; and inorganic ion transport and metabolism contributed 6.88%. These findings indicate the bacterium’s carbohydrate metabolism, aligning with the results of both the KEGG and CAZy annotations. The TCDB analysis annotated a total of 455 functional genes associated with a primary classification (Fig. 4E). Active transporter protein genes constituted 52.3% of the annotated genes, which is consistent with the membrane transport mechanism’s predominantly relying on active transport processes (39).

Statistical analysis of secondary metabolic gene clusters in the genome of the
The AntiSMASH-7.0 prediction results show that there are 12 different secondary metabolism gene clusters in the genome of strain XJ-24-3. Among them, the non-ribosomal peptide synthetase (NRPS) gene cluster and the complex hybrid gene cluster with the coexistence of three biosynthesis systems of "NRPS, T1PKS and T3PKS" are the main types. Specifically, the genome mainly contains 17 NRPS gene clusters and 11 gene clusters of other types. It is noteworthy that the results include complex hybrid gene clusters with the coexistence of multiple biosynthesis systems, which have enormous potential in the field of new drug discovery. Among all the predicted genes, the highest number encoded NRPS (324), followed by those encoding the complex hybrid gene clusters with three coexisting biosynthesis systems ('NRPS, T1PKS, and T3PKS') (72) (Fig. 5, Supplementary Fig. 4, and Supplementary Table 5). These 13 distinct biosynthetic pathway types together contained 37 predicted gene clusters associated with secondary metabolite synthesis, including 18 clusters for which no homologous metabolites were identified and 19 clusters associated with known secondary metabolites, such as obafluorin, zwittermicin A, and dipeptide aldehydes, which are synthesised

uantities of secondary metabolic gene clusters in the genome of the

Prediction of bacteriocin-related genes in seven regions (A–G) of the genome of
Prediction of molecular sequences with antimicrobial activity in the
Antimicrobial molecule | Detected by | Amino acid sequence |
---|---|---|
Laterosporulin | BAGEL4 | MACVNECPDAVDDWAYGDWKCHPVEGKYYRHVFAVCMNGANLYCKTEWSKGC |
223.2 (UviB) | BAGEL4 | MEESVMNALLQQGPFAALFVWLLFSTKKEGRDRETRLVKQAQAREAKLMEHNERMVIQLERNTSTLQQIERSLSGLEMELQELKEKVE |
224.2 (UviB) | BAGEL4 | MGSFGSLLYLPQGGDKERKSMEEPLFNALLSQGPFAGLFVWLLFSTKKEGRDRETRLVEQAQQREAKLMEHSERMVIQLERNTTTLQQIERSLNGLENELEELKE KVG |
Linear azol(in)e-containing peptide | BAGEL4 | MDDFQNELKKLRVDKFQGGDVSPWENESQQDAMLVQRRCGRCHHCSCSCSCSCSCSCSCSCSCSCVCLFINCFRCSRCSRCF |
Sactipeptide | BAGEL4 | MKNYTTPKVKVVNPGVIDVIDSCQCGSKNGAGA |
Class I lanthipeptide | BAGEL4 | MKKEDLFDLDVQVKEASQAQGDSVVSDLICTTFCSATFCQSNCC |
Bottromycin | BAGEL4 | MGPVVVFDCMTADFLNDDPNNAELSALELEELESWGVWSEDNQSV |
BM1122 | antiSMASH | MNKTELIAKVAETSELTKKDATKAVDAVLDAISDALKEGDKVQLIGFGNFEVRERAARKGRNPQTGEEIEIASSKIPAFKPGKQLKDSIK |
Lactococcin 972-like | antiSMASH | MDKSQKFPDSPLSKEEWRQLDETIVEMARRQLVGRRFIDIYGPLGEGIQTITN DIYDESRFGNMSLRGESLELTQPSKRVSLTIPIVYKDFMLYWRDMAQARTLG MPIDLSPAANAASSCALMEDDLIFNGNPEFDLPGIMNVKGRLTHIKSDWMES GNAFADIVEARNKLLKMGHSGPYALVVSPELYSLLHRVHKGTNVLEIDHIRN LVTDGVFQSPVIKGGALVATGRHNLDLAIAEDFDSAFLGDEQMNSLMRVYEC AVLRIKRPSAICTLETTEE |
Holin | antiSMASH | MKVLFLLHKMRQGGKNGMEESVMNALLQQGPFAALFVWLLFSTKKEGRDR ETRLVKQAQAREAKLMEHNERMVIQLERNTSTLQQIERSLSGLEMELQELKE KVE |
The misuse of antibiotics has led to a growing number of bacteria developing resistance to many of these drugs in common use (25). Of particular concern is the rapid proliferation of MDR strains (3), not least because it has caused significant economic losses in the livestock industry. Consequently, identifying effective strategies to prevent and control MDR infections is essential for ensuring the sustainable growth of the livestock sector; these strategies are also equally important for protecting global public health. Among the potential solutions,
Various studies have demonstrated that
The
The genome sequence of the XJ-24-3 isolate was analysed using various approaches, including GO functional annotation, KEGG signalling pathway enrichment, CAZy, COG and TCDB analyses. Gene Ontology analysis revealed that genes associated with catalytic activity and binding functions were the most prevalent. Kyoto Encyclopedia analysis indicated that the strain demonstrated varied energy metabolism capabilities and strong adaptability to environmental changes. Carbohydrate-Active Enzyme and COG analyses highlighted an abundance of carbohydrate enzyme family–related functional genes, suggesting that the XJ-24-3 isolate possessed a significant capacity for carbohydrate metabolism. Transporter Classification Database analysis further revealed that the primary membrane transport mechanism of strain XJ-24-3 likely relied on active transport processes, reflecting the organism’s investment of cellular energy in membrane transport functions.
Summarising, genome-wide analysis revealed that XJ-24-3 was capable of producing a range of broad-spectrum antimicrobial substances, including bogorol A, laterosporulin and LAPs. This genetic characterisation may inform future development of antimicrobial compounds derived from this strain.