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PubMed2026

Genomic epidemiology and antimicrobial resistance profile of Shigella isolated from diarrhoea diseases in under-five children in Blantyre, Malawi.

Antimicrobial resistance (AMR) in Shigella is rising globally, complicating shigellosis management. Whole-genome sequence analysis (WGSA) has advanced our understanding of AMR and transmission dynamics, yet contemporary whole-genome sequencing data from Shigella in sub-Saharan Africa remain scarce. In this study, we applied WGSA to 27 Shigella isolates collected from children presenting with diarrhoea at Ndirande Health Centre in Malawi (2022-2023), as part of the Enterics for Global Health Shigella surveillance study. Serotyping, AMR profiling and phylogenetic analysis revealed Shigella sonnei as the dominant serogroup, with distinct genetic clustering relative to global reference strains among S. sonnei, Shigella flexneri and Shigella boydii. We identified 16 AMR genes linked to ten antimicrobial classes with qnrS1 and qnrB19 genes conferring resistance to fluoroquinolone, alongside IncFIB(K) and IncFII plasmid replicon markers. Importantly, no azithromycin resistance determinants were detected both genotypically and phenotypically, providing baseline evidence that warrants continued surveillance of current first-line treatment. However, the detection of fluoroquinolone resistance genes with plasmid replicon markers in the absence of phenotypic resistance might indicate a silent reservoir with epidemic potential. This is the first contemporary Shigella data from a large-scale diarrhoea disease surveillance study in Malawi, providing essential baseline information for guiding antibiotic treatment and future vaccine development efforts, contributing to the efforts to combat shigellosis in Malawi and other similar regions.

Humans↗

PubMed2025

Genomic insights into Shigella species isolated from small ruminants and manure in the North West Province, South Africa.

This study investigated Shigella species' antibiotic resistance patterns and genomic characteristics from small ruminants and manure collected in Potchefstroom, North West, South Africa. Whole genome sequencing was used to determine resistome profiles of Shigella flexneri isolates from small ruminants' manure and Shigella boydii from sheep faeces. Comparative genomics was employed on the South African 261 S. flexneri strains available from GenBank, including the sequenced strains in this study, by investigating the serovars, antibiotic resistance genes (ARGs), and plasmid replicon types. The S. flexneri strains could not be assigned to known sequence types, suggesting novel or uncharacterized lineages. S. boydii R7-1A was assigned to sequence type 202 (ST202). Serovar 2A was the most common among South African S. flexneri strains, found in 96% of the 250 compared human-derived isolates. The shared mdf(A) was the most prevalent gene, identified in 99% of 261 S. flexneri genomes, including plasmid replicon types ColRNAI_1 (99%) and IncFII_1 (98%). Both species share a core set of resistance determinants mainly involving β-lactams (ampC1, ampC, ampH), macrolides (mphB), polymyxins (eptA, pmrF), multidrug efflux pumps (AcrAB-TolC, Mdt, Emr, Kpn families), and regulatory systems (marA, hns, crp, baeRS, evgAS, cpxA, gadX). However, S. boydii possesses additional resistance genes conferring resistance to tetracyclines (tet(A)), phenicols (floR), sulphonamides (sul2), and aminoglycosides (APH(3'')-Ib, APH(6)-Id), along with the acrEF efflux pump components (acrE, acrF). In contrast, S. flexneri harboured unique genes linked to polymyxin resistance (ugd) and regulatory functions (sdiA, gadW) that were absent in S. boydii. These findings highlight Shigella strains' genomic diversity and antimicrobial resistance potential in livestock-associated environments. Moreover, S. boydii highlights the potential risk of multidrug-resistant bacteria in farming and environmental routes. KEY POINTS: • First whole genome study of Shigella from manure and small ruminants in South Africa. • Shigella boydii strain carried multiple resistance genes to β-lactams and tetracycline. • Multidrug efflux pump gene mdf(A) was detected in 99% of South African Shigella flexneri strains.

Animals↗

PubMed2026

Escalation of CTX-M-producing extensively drug-resistant Shigella spp. in Kolkata, India, following the COVID-19 pandemic.

Shigella spp. is recognized by the World Health Organization as a high-priority pathogen due to its global prevalence, unique pathogenic mechanisms, and growing antimicrobial resistance (AMR). Nearly half of all Shigella strains worldwide are now multidrug-resistant (MDR), and the emergence of extensively drug-resistant (XDR) variants-resistant to ciprofloxacin, ceftriaxone, and azithromycin-has severely limited effective treatment options. The present study is based on prospective laboratory surveillance involving 323 Shigella isolates collected during 2021-2023, with pre-COVID-19 pandemic data included from a previously published study solely for historical comparison. The presence of antibiotic resistance genes (ARGs) was investigated, and whole-genome sequencing (WGS) was performed on representative isolates to assess phylogenetic relatedness with global isolates. Approximately 10% of isolates exhibited resistance to third-generation cephalosporins. While only 3% of Shigella isolates carried the blaCTX-M-15 gene from 2013 to 2019, its prevalence increased to 26% by 2022-2023. Among 38 ceftriaxone-resistant S. sonnei isolates, 33 were also resistant to azithromycin, categorizing them as XDR. These isolates showed 48% clonal similarity and high phylogenetic resemblance to the isolates reported from England. Hybrid genome assembly revealed a plasmid harboring both the blaCTX-M-15 and mphA ARGs. Conjugation experiments and plasmid profiling confirmed the plasmid's transferability. We report a rising trend in third-generation cephalosporin resistance among Shigella spp., primarily driven by the spread of extended-spectrum β-lactamase-producing S. flexneri and the emergence of XDR S. sonnei. These findings underscore the urgent need for strengthened national AMR containment strategies and enhanced international surveillance of cephalosporin-resistant Shigella to mitigate this growing public health threat.IMPORTANCEShigella is a leading cause of diarrheal disease globally and has been prioritized by the World Health Organization due to its rapid acquisition of antimicrobial resistance. Our prospective surveillance in Kolkata, India, reveals a worrisome escalation of third-generation cephalosporin resistance over the past decade, primarily associated with the spread of blaCTX-M-15 and the emergence of extensively drug-resistant (XDR) S. sonnei. The detection of plasmids carrying both blaCTX-M-15 and mphA, coupled with evidence of their transferability, highlights the potential for accelerated dissemination of multidrug resistance. When compared with a global data set of international genomes, the Kolkata XDR isolates were found to cluster closely with isolates reported from England. By linking local surveillance with global genomic context, our findings provide critical insights for treatment guidelines, antimicrobial stewardship, and the design of international containment strategies aimed at curbing the rise of cephalosporin- and azithromycin-resistant Shigella.

India↗

PubMed2026

Molecular characterization and antimicrobial resistance profiles of Shigella flexneri isolates from pediatric clinical cases in Ahvaz, Iran.

Shigella is a highly invasive pathogen that causes dysentery and is associated with significant morbidity and mortality in children under five years of age. This agent is a major public health problem in developing countries. Multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA) is a reliable, cost-effective typing method with high discriminatory power and reproducible results. The rise of drug resistance in Shigella strains is a growing global health threat. Despite the significance of Shigella in Iran, there is limited knowledge about genetic diversity and drug resistance profiles of local strains. Therefore, the purpose of this study was to characterize the genetic diversity and drug resistance profiles of Shigella strains isolated in Ahvaz, Iran. A total of 49 Shigella flexneri isolates were recovered from 500 stool samples of pediatric patients. Routine biochemical tests were used to identify all isolates. Antimicrobial susceptibility testing was performed, and resistance genes were detected by polymerase chain reaction (PCR). Extended-spectrum β-lactamases (ESBL), carbapenemase, and Metallo-β-lactamase (MBL) production were detected phenotypically using combination disk assays and confirmed by the CLSI-recommended modified Carbapenem inactivation method (mCIM) and EDTA-modified carbapenem inactivation method (eCIM). MLVA based on seven VNTR loci was performed to characterize the genetic diversity of the isolates. All 49 isolates were resistant to ceftazidime, trimethoprim/sulfamethoxazole, ampicillin, and ceftriaxone (100% each). High resistance rates were also observed for imipenem 36/49 (73.5%), meropenem 36/49 (73.5%), azithromycin 21/49 (42.9%), and ciprofloxacin 16/49 (32.7%). Furthermore, phenotypic testing revealed ESBL production in 46/49 (93.9%) isolates and carbapenemase activity in 36/49 (73.5%), of which 22/49 (44.9%) were MBL. PCR analysis identified blaCTX-M 38/49 (77.6%) and blaSHV 35/49 (71.4%) as the most prevalent ESBL genes, whereas blaNDM 14/49 (28.6%), and blaOXA-48 14/49 (28.6%) were the most common carbapenemase genes. MLVA typing divided the isolates into 22 different MLVA types, including 10 clusters and 12 singletons, and locus ms21 showed the highest discriminatory power. The isolates exhibited high genetic diversity with a non-clonal distribution of resistance, which indicates dissemination through horizontal gene transfer. Our results demonstrated that mCIM/eCIM and MLVA are viable methods for investigating Shigella species as they are cost-effective, provide quick results, and allow for easy sharing of numerical data between laboratories.

Humans↗

PubMed2025

The emergence of sexually transmissible Shigella flexneri serotype 1b between 2019 and 2024 in England: a descriptive epidemiological study.

Background. Shigella species are pathogenic bacteria that cause gastrointestinal symptoms ranging from mild watery diarrhoea to bacillary dysentery. Transmission is faecal-oral and historically associated with international travel. Recently, sexual transmission has been documented among gay, bisexual and other men who have sex with men (GBMSM). Through routine surveillance, we observed an increase in notifications of S. flexneri serotype 1b. We investigated the emergence of this serotype and examined possible drivers of transmission.Methods. We used historical data and whole-genome sequencing data from S. flexneri 1b isolates submitted to the United Kingdom Health Security Agency (UKHSA) to determine the relatedness of isolates and describe the population structure using phylogenetics. We tested for associations with possible epidemiological, biological and genetic drivers.Results. Between 1 January 2004 and 30 June 2024, 1,672 isolates of S. flexneri 1b were identified. Prior to 2019, there was a median of 12.5 [interquartile range (IQR) 10-17] notifications per quarter, rising to a median of 39.5 (IQR 23-58) notifications from 2019 to 2024. The rise was predominantly among adult males, consistent with patterns seen in prior sexually transmitted shigellosis epidemics among GBMSM. Unlike previous outbreaks of shigellosis among GBMSM, the emergence of S. flexneri 1b showed no evidence of an association with the acquisition of antimicrobial resistance determinants.Conclusions. Shigellosis can have severe clinical outcomes, and the repeated emergence of Shigella variants among GBMSM highlights the significance of the sexual transmission pathway. Continued surveillance of Shigella subtypes is necessary to inform public health interventions aimed at preventing sexual transmission of enteric pathogens in the GBMSM community.

Humans↗

PubMed2024

An integrated in-silico approach for drug target identification in human pathogen Shigella dysenteriae.

Shigella dysenteriae, is a Gram-negative bacterium that emerged as the second most significant cause of bacillary dysentery. Antibiotic treatment is vital in lowering Shigella infection rates, yet the growing global resistance to broad-spectrum antibiotics poses a significant challenge. The persistent multidrug resistance of S. dysenteriae complicates its management and control. Hence, there is an urgent requirement to discover novel therapeutic targets and potent medications to prevent and treat this disease. Therefore, the integration of bioinformatics methods such as subtractive and comparative analysis provides a pathway to compute the pan-genome of S. dysenteriae. In our study, we analysed a dataset comprising 27 whole genomes. The S. dysenteriae strain SD197 was used as the reference for determining the core genome. Initially, our focus was directed towards the identification of the proteome of the core genome. Moreover, several filters were applied to the core genome, including assessments for non-host homology, protein essentiality, and virulence, in order to prioritize potential drug targets. Among these targets were Integration host factor subunit alpha and Tyrosine recombinase XerC. Furthermore, four drug-like compounds showing potential inhibitory effects against both target proteins were identified. Subsequently, molecular docking analysis was conducted involving these targets and the compounds. This initial study provides the list of novel targets against S. dysenteriae. Conclusively, future in vitro investigations could validate our in-silico findings and uncover potential therapeutic drugs for combating bacillary dysentery infection.

Shigella dysenteriae↗

PubMed2025

Multilevel regulation of c-di-GMP biosynthesis by cAMP signaling increases Shigella sonnei fitness and pathogenicity in response to bile salts.

It was previously demonstrated that intestinal pathogens have evolved different mechanisms to enhance their infection and colonization in the intestines of hosts. However, it is unclear how Shigella effectively survives in the presence of bile salts. Here, we report that the biofilm formation and pathogenicity of S. sonnei are induced by primary bile salts through the two-component system EvgS/EvgA. The response regulator EvgA controls the transcription of the cyclic AMP synthase-encoding gene. Furthermore, the effector protein CRP of the cyclic AMP (cAMP) signal not only positively controls the transcription of ydeH, a gene encoding cyclic di-GMP (c-di-GMP) synthase, but also forms a complex with YdeH to improve its catalytic production of c-di-GMP. Additionally, interacting with YdeH enhances the ability of CRP to bind to the promoter of ydeH. Our work provides insights into how S. sonnei utilizes cascade amplification of c-di-GMP to promote fitness and pathogenicity in response to primary bile salts.

Cyclic GMP↗

PubMed2025

Remote Regulation by VirB, the Transcriptional Anti-Silencer of Shigella Virulence Genes, Provides Mechanistic Information.

Classical models of bacterial transcription show regulators binding close to promoter elements to exert their effect. However, the scope for long-range regulation exists, especially by nucleoid structuring proteins, like H-NS. Here, long-range regulation by VirB, a transcriptional regulator that alleviates H-NS-mediated silencing of key virulence genes in Shigella species, is explored in vivo to test the limits of long-range regulation and provide further mechanistic insight. VirB-dependent regulation of the well-characterized icsP promoter persists if its cognate site is repositioned 1 kb, 3.3 kb, and even 4.7 kb further upstream than its native position in a plasmid reporter. VirB-dependent regulation diminishes with binding site distance. While increasing cellular VirB pools elevated promoter activity in all constructs with wild-type VirB binding sites, it did not generate a disproportionate increase in promoter activity from remote sites relative to the native site. Since VirB occludes a constitutively active promoter (PT5) when docked adjacent to its -35 element, we next moved the VirB binding site far outside the promoter region. We discovered that VirB still interfered with promoter activity. These findings and those generated from molecular roadblocks engineered around a distally located VirB-binding site are reconciled with the various models of transcriptional regulation by VirB.

Gene Expression Regulation, Bacterial↗

PubMed2025

Host clustering of Campylobacter species and enteric pathogens in a longitudinal cohort of infants, family members and livestock in rural Eastern Ethiopia.

BACKGROUND: Livestock are recognized as major reservoirs for Campylobacter species and other enteric pathogens, posing infection risks to humans. High prevalence of Campylobacter during early childhood has been linked to environmental enteric dysfunction and stunting, particularly in low-resource settings. METHODS: A total of 280 samples from Campylobacter positive households with complete metadata were analyzed by shotgun metagenomic sequencing followed by bioinformatic analysis via the CZ-ID metagenomic pipeline (Illumina mNGS Pipeline v7.1). Further statistical analyses in JMP PRO 16 explored the microbiome, emphasizing Campylobacter and other enteric pathogens. Two-way hierarchical clustering and split k-mer analysis examined host structuring, patterns of co-infections and genetic relationships. Principal component analysis was used to characterize microbiome composition across the seven sample types. RESULTS: The study identified that microbiome composition was strongly host-driven, with more than 3844 genera detected, and two principal components explaining 62% of the total variation. Twenty-one dominant (based on relative abundance) Campylobacter species showed distinct clustering patterns for humans, ruminants, and broad hosts. The broad-host cluster included the most prevalent species, C. jejuni, C. concisus, and C. coli, present across sample types and a sub-cluster within C. jejuni involving humans, chickens, and ruminants. Campylobacter species from chickens showed strong positive correlations with mothers (r = 0.76), siblings (r = 0.61) and infants (r = 0.54), while co-occurrence analysis found a higher likelihood (Pr > 0.5) of pairs such as C. jejuni with C. coli, C. concisus, and C. showae. Analysis of the top 50 most abundant microbial taxa showed a distinct cluster uniquely present in human stool and absent in all livestock. The study also found frequent co-occurrence of C. jejuni with other enteric pathogens such as Salmonella, and Shigella, particularly in human and chicken. Additionally, instances of Candidatus Campylobacter infans (C. infans) were identified co-occurring with Salmonella and Shigella species in stool samples from infants, mothers, and siblings. CONCLUSIONS: A comprehensive analysis of Campylobacter diversity in humans and livestock in a low-resource setting revealed that infants can be exposed to multiple Campylobacter species early in life. C. jejuni is the dominant species with a propensity for co-occurrence with other notable enteric bacterial pathogens, including Salmonella, and Shigella, especially among infants. Video Abstract.

Animals↗

PubMed2025

Metagenomic characterization of oral microbiome signatures to predict upper gastrointestinal and pancreaticobiliary cancers: a case-control study.

BACKGROUND: This study investigated the oral microbiome signatures associated with upper gastrointestinal (GI) and pancreaticobiliary cancers. METHODS: Saliva samples from cancer patients and age- and sex-matched healthy controls were analyzed using 16S rRNA-targeted sequencing, followed by comprehensive bioinformatics analysis. RESULTS: Significant dissimilarities in microbial composition were observed between cancer patients and controls across esophageal cancer (EC), gastric cancer (GC), biliary tract cancer (BC), and pancreatic cancer (PC) groups (R2 = 0.067, = 0.075, = 0.068, and = 0.044; p = 0.001, = 0.001, = 0.002, and = 0.004, respectively). Additionally, the oral microbiome composition significantly differed by the four cancer sites (p = 0.001 for EC vs. GC, EC vs. BC, EC vs. PC, GC vs. BC, and GC vs. PC; p = 0.013 for BC vs. PC). We built oral metagenomic classifiers to predict cancer and selected specific microbial taxa with diagnostic properties. For EC, the classifier differentiated cancer patients and controls with good accuracy (area under the curve [AUC] = 0.791) and included three genera: Akkermansia, Escherichia-Shigella, and Subdoligranulum. For GC, the classifier exhibited high discriminative power (AUC = 0.961); it included five genera (Escherichia-Shigella, Gemella, Holdemanella, Actinomyces, and Stomatobaculum) and three species (Eubacterium sp. oral clone EI074, Ruminococcus sp. Marseille-P328, and Leptotrichia wadei F0279). However, microbial taxa with diagnostic features for BC and PC were not identified. CONCLUSIONS: These findings suggested that the oral microbiome composition may serve as an indicator of tumorigenesis in upper GI and pancreaticobiliary cancers. The development of oral metagenomic classifiers for EC and GC demonstrates the potential value of microbial biomarkers in cancer screening.

Humans↗

PubMed2003

A role for VASP in RhoA-Diaphanous signalling to actin dynamics and SRF activity.

Vasodilator-stimulated phosphoprotein (VASP) is involved in multiple actin-mediated processes, including regulation of serum response factor (SRF) activity. We used the SRF transcriptional assay to define functional domains in VASP and to show that they coincide with those required for F-actin accumulation, as determined by a quantitative FACS assay. We identified inactive VASP mutants that can interfere both with F-actin assembly and with SRF activation by wild-type VASP. These VASP mutants also inhibit actin-based motility of Vaccinia virus and Shigella flexneri. VASP-induced F-actin accumulation and SRF activation require both functional Rho and its effector mDia, and conversely, mDia-mediated SRF activation is critically dependent on functional VASP. VASP and mDia also associate physically in vivo. These findings show that VASP and mDia function cooperatively downstream of Rho to control F-actin assembly and SRF activity.

3T3 Cells↗

PubMed2025

Uncovering potential biomarkers and metabolic pathways in systemic lupus erythematosus and lupus nephritis through integrated microbiome and metabolome analysis.

OBJECTIVE: This study aims to explore the relationship between gut microbiota and fecal metabolomic profiles in patients with systemic lupus erythematosus (SLE), with and without lupus nephritis (LN), in order to identify potentially relevant biomarkers and better understand their association with disease progression. METHODS: Fecal samples from 15 healthy controls (HC) and 36 SLE patients (18 SLE-nonLN and 18 SLE-LN) were analyzed using 16S rRNA gene sequencing and untargeted metabolomics. Differential microbial taxa and metabolites were identified using Linear Discriminant Analysis Effect Size (LEfSe) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Receiver Operating Characteristic (ROC) curve analyses were used to assess the potential clinical relevance of selected metabolites. RESULTS: Beta diversity analysis demonstrated distinct microbial clustering between groups (p < 0.05). SLE-LN samples showed an increased relative abundance of Proteobacteria and decreased Firmicutes compared to SLE-nonLN. Metabolomic profiling identified multiple differentially abundant metabolites, with notable enrichment in primary bile acid biosynthesis pathways (e.g., Glycocholic acid, AUC = 0.951). In the SLE-nonLN group, increased Glycoursodeoxycholic acid levels (AUC = 0.922) were observed in pathways related to taurine and hypotaurine metabolism. Correlation analysis indicated a negative association between Escherichia-Shigella and bile acid levels (p < 0.01). CONCLUSION: This integrative analysis suggests that patients with SLE and LN harbor distinct gut microbiota and metabolomic profiles. The identified microbial taxa and metabolites may have potential as non-invasive biomarkers and could contribute to a better understanding of SLE pathogenesis and progression.

Humans↗

PubMed2025

Gut microbiota: a hidden player in polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is an endocrine disorder that affects reproductive-aged women worldwide, causing hormonal imbalances and ovarian dysfunction. PCOS affects metabolic health and increases the risk of obesity, insulin resistance, and cardiovascular disease, in addition to infertility. This review delves deeper into the connections of gut microbiota with PCOS pathophysiology, particularly into its impact on hormone metabolism, obesity, inflammation, and insulin resistance by way of short-chain fatty acids, lipopolysaccharides, and gut-brain axis. Studies also show that changes in the metabolic processes and immune responses are seen in changes in the gut microbiota in PCOS subjects, such as changes in the Bacteroidetes and Firmicutes groups. Some bacteria, like Escherichia and Shigella, have been associated with dysbiosis in patients with PCOS, leading to systemic inflammation and changed hormone levels, which further worsen the clinical symptoms. Therapeutic interventions targeting the gut microbiota comprise probiotics, prebiotics, and fecal microbiota transplantation; these have potential to alleviate the symptoms of PCOS. Other precision microbiome-based therapies include postbiotics, and CRISPR-Cas9 genome editing, which are relatively new avenues toward precision treatment. This complex interlink of gut microbiota and PCOS pathophysiology will open the avenues for possible treatments for hormonal imbalances and metabolic problems that characterize these complex disorders. The review here focuses on the requirement of further studies to be able to elucidate the specific pathways relating gut microbiota dysregulation to PCOS and, thus, improve microbiome-based therapies for better clinical outcomes in affected individuals.

Humans↗

PubMed2026

Coral color morphs exhibit distinct microbial and proteomic profiles linked to stress and immune mechanisms in a changing ocean.

BACKGROUND: Coral phenotypic plasticity facilitates acclimation and adaptation to environmental variability. Coral species often display a variety of color morphs, yet key biological and ecological implications of such phenotypic variation remain underexplored. Here, we present the first proteomic and untargeted lipidomic and metabolomic survey to explore the biological characteristics and potential ecological significance of different color morphs (pink and brown) of healthy Pocillopora verrucosa sampled along a latitudinal gradient. RESULTS: Our multi-omic approach elucidated distinct mechanisms associated with these dominant color morphs. We discovered bacterial indicators specific to each morph: putative pathogens such as Salmonella, Escherichia-Shigella, and carotenoid-producing Gemmatimonas were notably associated with the pink morph, whereas the brown morph was associated with potentially beneficial bacteria, such as Lysobacter, Acinetobacter, and Endozoicomonas. Despite these microbiome differences, the lipidome and metabolome of P. verrucosa were surprisingly homogeneous across colors and locations, suggesting similar metabolic performances during summer conditions. Key polar and apolar lipid classes, such as fatty acids, glycerophosphocholines, and retinoids, were prevalent. Notably, our proteomic analysis revealed morph-specific expressions, with pink morphs exhibiting enhanced levels of GFP-like proteins, Ankyrin, and the enzyme pullulanase, suggesting novel putative protective roles. In contrast, the brown morphs showed a higher abundance of heat shock proteins, indicating putative differential stress response capabilities. CONCLUSION: This comprehensive study provides the first proteomic survey of P. verrucosa and identifies key physiological pathways and trade-offs linked to color morphs, which can further contribute to enhancing our understanding of coral resilience in the face of climate change. SIGNIFICANCE STATEMENT: Understanding the phenotypic plasticity of corals is crucial for uncovering mechanisms of resilience in warming oceans, yet the biological significance of coral color morphs still needs to be explored. Using an innovative multi-omic approach (proteomics, lipidomics, and metabolomics), we provide the first comprehensive analysis of differences between pink and brown morphs of Pocillopora verrucosa. Our data reveal key taxa, potentially pathogenic or beneficial, associated with each morph, and suggest different strategies for each color morph to cope with heat stress, either expressing proteins involved in UV protection and heterotrophic activity or enhanced levels of heat stress resilience and DNA repair. These findings offer insights into the phenotypic plasticity of coral color morphs and their differential responses to climate change. Video Abstract.

Anthozoa↗

PubMed2025

Examining the bacterial diversity including extracellular vesicles in air and soil: implications for human health.

As the significance of human health continues to rise, the microbiome has shifted its focus from microbial composition to the functional roles it plays. In parallel, interest in ultrafine particles associated with clinically important impact has been increasing. Bacterial extracellular vesicles (BEVs), involved in systemic microbiome activity, are nano-sized spherical vesicles (20 - 100 nm in diameter) containing DNA, RNA, proteins, and lipids. They are known to be absorbed into the body potentially through air and soil, circulate in the blood, and directly impact diseases by affecting organs. Therefore, the aim of this study is to examine the biodiversity of bacteria and BEVs and predicted functional pathways. We sampled air and soil samples in Seoul, Korea and analyzed metagenomics based on 16S rRNA sequencing. At the phylum levels, Firmicutes in BEVs from soil and air were significantly higher than in bacteria, and Acidobacteria in both bacteria and BEVs from soil were significantly higher than from air (p < 0.05). The most dominant genera were Pseudomonas in bacteria from air and soil; and Escherichia-Shigella in BEVs from air and soil. In addition, Two-component system (ko02020) and ATP-binding cassette transporters (ko02010) were dominant functional pathways in both air and soil. The most functional pathways and orthologous groups were significantly different between air and soil (p < 0.05). In conclusion, human health can be affected differently depending on type of environment. Future study is necessary to have a better understanding of human health effects from environmental microbiota.

Soil Microbiology↗

PubMed2025

Detection of the mgtC gene in multidrug-resistant Salmonella sp. based on isolation of chicken eggshell swabs from traditional Surabaya markets.

BACKGROUND: The virulence of Salmonella sp. is increased by the presence of the mgtC gene, which allows the bacteria to survive in environments with low magnesium levels, such as inside macrophages. Salmonella sp. found on eggshells when they show resistance to three or more classes of antibiotics can be classified as multidrug-resistant (MDR) bacteria. AIM: This study aimed to identify the presence of Salmonella sp. MDR and the mgtC gene in chicken eggshell swabs from traditional markets in Surabaya. METHODS: Swab samples were collected from 160 eggs (80 from layer chickens and 80 from free-range chickens) at 10 traditional markets in Surabaya, Indonesia. Isolation and identification were performed using culture media, including Salmonella Shigella Agar, Gram staining, Triple Sugar Iron Agar, Sulfide Indole Motility, Simmons Citrate Agar, Methyl Red and Voges Proskauer, and Urea Agar. Antibiotic sensitivity testing was performed using the disc diffusion method on Mueller-Hinton Agar. Molecular detection of the mgtC gene was performed using polymerase chain reaction. RESULTS: The results showed that 16.87% (27/160) of the samples were detected positive for Salmonella sp. All Salmonella sp. isolates (27) were resistant to Erythromycin (100%). Resistance was also found to Ampicillin (77.77%, 21/27), Tetracycline (29.62%, 8/27), and Ciprofloxacin (18.51%, 5/27). No resistance to chloramphenicol was observed. In addition, eight of the 27 isolates (29.62%) were classified as Salmonella sp. MDR. The Salmonella sp. MDR isolates also carried the mgtC gene at 87.5% (7/8). CONCLUSION: These findings demonstrate the potential global public health threat posed by MDR Salmonella sp. with the mgtC gene, emphasizing the importance of monitoring and controlling antibiotic resistance in humans and animals.

Animals↗