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Landscape genomics analysis reveals the genetic basis underlying cashmere goats and dairy goats adaptation to frigid environments.

Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated. By integrating multiple approaches such as phylogenetic analysis, population structure analysis, gene flow and population history exploration, selection signal analysis, and genome-environment association analysis, an in-depth investigation was carried out. Phylogenetic analysis unraveled the genetic relationships and differentiation patterns among dairy goats and other goat breeds. Through signal analysis (θπ, FST, XP-CLR), we identified numerous candidate genes associated with cold adaptation in dairy goats (STRIP1, ALX3, HTR4, NTRK2, MRPL11, PELI3, DPP3, BBS1) and cashmere goats (MED12L, MARC2, MARC1, DSG3, C6H4orf22, CHD7, MYPN, KIAA0825, MITF). Genome-environment association (GEA) analysis confirmed the link between these genes and environmental factors. Moreover, a detailed analysis of the critical genes C6H4orf22 and STRIP1 demonstrated their significant roles in the geographical variations of cold adaptation and allele frequency differences among different breeds. This study contributes to understanding the genetic basis of cold adaptation, providing crucial theoretical support for precision breeding programs aimed at improving production performance in cold regions by leveraging adaptive alleles, thereby ensuring sustainable animal husbandry.

Environmental adaptation

SIGEL: a context-aware genomic representation learning framework for spatial genomics analysis.

Spatial transcriptomics (ST) integrates spatial information into genomics, yet methods for generating spatially-informed gene representations are limited and computationally intensive. We present SIGEL, a cost-effective framework that derives gene manifolds from ST data by exploiting spatial genomic context. The resulting SIGEL-generated gene representations (SGRs) are context-aware, biologically meaningful, and robust across samples, making them highly effective for key downstream tasks, including imputing missing genes, detecting spatial expression patterns, identifying disease-related genes and interactions, and improving spatial clustering. Extensive experiments across diverse ST datasets validate SIGEL's effectiveness and highlight its potential in advancing spatial genomics research.

Genomics

Whole genome analysis of a multidrug-resistant blaNDM-5-carrying Escherichia coli Sequence Type (ST) 167 strain isolated from seafood in Mumbai, India.

BACKGROUND: E. coli ST167 is an emerging extraintestinal pathogenic Escherichia coli (ExPEC) clone. This study reports the whole genome sequence analysis of a multidrug-resistant, blaNDM-5 harboring E. coli ST167 (EC121) isolated from seafood. The antibiotic susceptibility pattern was determined using the standard disc diffusion method. Genomic DNA was extracted, purified, and sequenced using the Illumina platform. The whole genome sequence was analyzed to determine the genome characteristics, including sequence type, serotype, phylogroup, antibiotic resistance genes, virulence attributes, and phylogenetic analysis. RESULTS: Phenotypically, this isolate was resistant to 26 of the 33 antibiotics tested, which correlated well with in-silico prediction. Multilocus sequence typing (MLST) analysis revealed that this strain belonged to sequence type 167, serotype O101:H9, and phylogroup A and harbored different virulence genes, suggesting it was a potential human pathogen. Many acquired antibiotic resistance genes were detected, including blaNDM-5, blaCMY-42, blaOXA-1, blaTEM-116, catA1, sul2, and tet(B). Point mutations in gyrA and parC responsible for quinolone resistance were also detected. CONCLUSION: The combinations of virulence and antibiotic resistance genes in this strain highlight the significant risk associated with emerging E. coli clonal types contaminating the seafood supply chain. Fecal contamination of seafood can contribute to the community dissemination of multidrug-resistant E. coli, necessitating effective monitoring measures.

Seafood

Lineage dynamics of invasive Escherichia coli isolates in the Netherlands from 1975 to 2021: a retrospective longitudinal genomic analysis.

BACKGROUND: Escherichia coli is a common cause of invasive infections such as bloodstream and cerebrospinal fluid infections in neonates. Strains positive for the K1 capsule are considered the most common cause of such neonatal invasive infections. This assumption of K1 dominance, and indeed the population genomics of E coli causing invasive infections in general is largely unstudied. We aimed to provide a comprehensive characterisation of this pathogen population using a longitudinal isolate collection. METHODS: In this analysis we report the findings of the SENTINEL study, a longitudinal genomic analysis of 1790 invasive E coli isolates collected mainly from newborns in the Netherlands between 1975 and 2021 by the Netherlands Reference Laboratory for Bacterial Meningitis, Amsterdam University Medical Centre, Amsterdam, Netherlands. The dataset included all bacterial strains cultured from cerebrospinal fluid or blood in cases of (clinical) bacterial meningitis (1976 to 1980). In 1981 the criteria were expanded to include neonates (aged ≤4 weeks) with E coli sepsis, and from July, 2016 all infants younger than 1 year with E coli sepsis were included. All isolates were sequenced using either the HiSeq 2500 or HiSeq 4000 platforms (Illumina, San Diego, CA, USA). We confirmed species and identified sequence types (STs), detected antimicrobial resistance genes, virulence genes, and the presence of K1 capsule, and characterised the dynamics of these factors over time. FINDINGS: Our data show a highly dynamic bacterial population that is entirely unaffected by antimicrobial resistance determinants. Key pathogen population fluctuations include the complete disappearance of the dominant lineage ST567 and the swapping of dominant ST95 clones from a single serotype O18:H7 clone to two distinct serotype O1:H7 clones, with changes in virulence factors including major fimbrial adhesins. These findings, combined with only 58·8% (1053 of 1790) prevalence in K1-expressing isolates in the entire study population, point to host-pathogen interaction and immune selection pressures as key drivers of bacterial population dynamics in this largely antimicrobial-naive population. INTERPRETATION: Our data show the vital need for ongoing genomic surveillance of microbial pathogen populations to guide appropriate intervention strategies. Additionally, genomic insights of a pathogen population from one specific disease syndrome or patient population cannot always be generalised across other cohorts. FUNDING: Wellcome Antimicrobial and Antimicrobial Resistance Doctoral Training Programme and the National Institute for Health and Care Research Birmingham Biomedical Research Centre.

Netherlands

Comparative Genomic Analysis of Multidrug-Resistant Escherichia coli Across Poultry-Human-Environmental Interfaces.

The emergence of multidrug-resistant (MDR) Escherichia coli in poultry represents a critical One Health concern, particularly in developing countries. This study employed a comparative genomic approach to investigate the genomic characteristics, antimicrobial resistance (AMR) profiles, virulence determinants, of poultry-derived MDR E. coli isolates from Bangladesh. Whole-genome sequencing of three representative MDR isolates, identified with 83 globally diverse poultry, human, and environmental E. coli genomes. Pangenome analysis identified the characteristic open pangenome of E. coli, with core genes comprising only 4.6% of the combined dataset. Resistome analysis shown diverse AMR determinants, including blaCTX-M, blaTEM, sul, tet, and qnrS1, associated with antibiotic inactivation and efflux mechanisms. Virulence profiling revealed diverse genes involved in adhesion (fim, csg), iron acquisition (ent, fep, chu), motility, and secretion systems, with core virulence genes exhibiting > 90% sequence identity, whereas accessory virulence genes were more variable. Plasmid analysis demonstrated heterogeneous replicon types, predominantly IncF and Col plasmids, indicating their role in horizontal gene transfer. Jaccard similarity indices revealed moderate to high genetic overlap with global strains (~0.63 for virulence genes and ~0.55 for AMR profiles), suggesting shared evolutionary backgrounds. Phylogenomic and MLST identified all Bangladeshi isolates as ST457, clustering within a globally distributed clonal complex linked to ST10 and ST131 lineages. These findings suggest that the three Bangladeshi poultry-derived E. coli isolates are genetically related to globally circulating strains while harboring extensive resistance and virulence determinants, emphasizing poultry as an important reservoir of MDR pathogens and reinforcing the need for strengthened antimicrobial stewardship and genomic surveillance.

Animals

Biological characterization and genome analysis of Bacillus thuringiensis GX0003935 with biocontrol activity against Meloidogyne enterolobii.

Meloidogyne enterolobii is a highly aggressive root-knot nematode, and reduced availability of chemical nematicides increases the need for effective biocontrol alternatives. We characterized Bacillus thuringiensis GX0003935 in terms of nematicidal activity, stability, biocontrol efficacy, and genome features. The culture broth and filtrate caused more than 97% corrected mortality of second-stage juveniles within 48 h, whereas bacterial suspension showed limited activity, suggesting that extracellular factors substantially contribute to nematicidal activity. The culture filtrate retained high nematicidal activity after exposure to UV irradiation, heat treatment, broad pH range, and prolonged storage, and the strain maintained stable activity during serial passaging. Furthermore, protease sensitivity assays, ammonium sulfate precipitation, and polarity characterization collectively suggested a composite active system involving proteinaceous and non-proteinaceous components. In pot trials, culture broth and filtrate reduced galling by approximately 74%. Genome sequencing combined with ANI/dDDH analyses confirmed GX0003935 as B. thuringiensis. Multiple candidates (proteases, chitinases, and toxin proteins) and secondary metabolite biosynthetic gene clusters were revealed, while known nematicidal Cry toxins were not detected. RT-qPCR results confirmed that the expression of these candidate genes at different growth stages. B. thuringiensis GX0003935 exhibits stable, extracellular-factor-associated nematicidal activity and effectively suppresses M. enterolobii in water spinach, indicating its potential as a biocontrol candidate.

Bacillus thuringiensis

Dissecting the shared genetic architecture between migraine subtypes and cardiovascular diseases: a multi-layered genomic analysis.

BACKGROUND: Epidemiological studies have linked migraine to an increased risk of cardiovascular disease (CVD); however, the shared genetic basis and putative causal relationships between migraine subtypes and cardiovascular traits remain poorly understood. METHODS: Leveraging large-scale GWAS summary statistics for migraine phenotypes (overall migraine, migraine with aura [MA], and migraine without aura [MO]) from FinnGen R12, along with seven cardiovascular diseases from publicly available consortia, we conducted a multi-layered genetic analysis. This integrative framework encompassed genetic correlation [linkage disequilibrium score regression (LDSC) and high-definition likelihood (HDL)], cross-trait meta-analysis (CPASSOC and PLACO), Bayesian colocalization, summary-data-based Mendelian randomization (SMR) using GTEx v8 eQTL data, and bidirectional two-sample Mendelian randomization (MR). RESULTS: Significant genetic correlations were identified between migraine and multiple cardiovascular traits, with hypertension and coronary artery disease (CAD) showing the most robust associations. MA exhibited broader genetic overlap with cardiovascular diseases than MO, including a notably stronger correlation with ischemic stroke, whereas MO demonstrated a stronger correlation with hypertension. Cross-trait meta-analysis identified 160 pleiotropic loci across 17 of 21 trait pairs. Colocalization analysis confirmed 32 loci harboring shared causal variants, mapped to 13 candidate genes, of which 7 (PHACTR1, LRP1, SOX7, ABO, FHOD3, MEI1, XKR6) were further validated by SMR as exhibiting tissue-specific regulatory effects. Among these, PHACTR1 displayed the broadest pleiotropic profile across migraine phenotypes and vascular diseases. After MR-PRESSO outlier removal, bidirectional MR identified 10 MR-supported associations, two of which (genetic liability to hypertension on overall migraine, and CAD on MA) survived Bonferroni correction, all free of detectable horizontal pleiotropy. Genetic liability to hypertension was associated with increased migraine risk (OR = 1.90, 95% CI 1.25-2.90, P = 2.64 × 10⁻³), atherosclerotic diseases showed subtype-specific effects (inverse for MO, positive for MA), and, in the reverse direction, migraine was associated with increased ischemic stroke risk. CONCLUSIONS: This study provides a comprehensive and systematic characterization of the shared genetic architecture between migraine subtypes and cardiovascular diseases. By identifying pleiotropic genes and bidirectional putative causal relationships with subtype-specific patterns, our findings carry implications for the development of targeted therapeutics and subtype-specific cardiovascular risk stratification.

Humans

Screening, Physiological Characterization, Genomic Analysis and Optimization by Conjugated Linoleic Acid Bioconversion of Two Lactiplantibacillus plantarum Strains.

Conjugated linoleic acid (CLA) comprises a group of C18 fatty acids containing conjugated double bonds and has been associated with potential anti-obesity and antitumor effects. In this study, 116 presumptive lactic acid bacteria (LAB) isolates were recovered from homemade Sichuan pickles. Primary screening identified 28 CLA-producing isolates, among which strains 7# and 31# showed the highest absorbance at 233 nm (A233). CLA production by both strains was subsequently optimized and quantified using gas chromatography-quadrupole time-of-flight mass spectrometry (GC-Q-TOF). Under the optimized conditions, strain 31# produced 66.50 ± 3.80 μg/mL total CLA, including 52.70 ± 3.29 μg/mL c9,t11-CLA and 13.80 ± 0.51 μg/mL t10,c12-CLA. Strain 7# produced 26.79 ± 1.09 μg/mL total CLA, including 14.05 ± 0.49 μg/mL c9,t11-CLA and 12.74 ± 0.60 μg/mL t10,c12-CLA. Physiological, biochemical, and safety assessments showed that strain 31# outperformed strain 7# overall, supporting its use in further product development and mechanistic studies. Functional annotation using the COG database and pathway mapping with KEGG identified candidate genes encoding an enzyme associated with linoleic acid isomerization in both strains. Potential mechanisms underlying their different CLA-producing capacities were also examined, providing a basis for the selection and development of high-CLA-producing strains.

conjugated linoleic acid

A python based automated computational framework to classify and comparative genomics analysis of the global diversity of chili leaf curl virus (ChiLCV) strains to understand virus host interactions.

Chili leaf curl virus (ChiLCV) is a Begomovirus chillicapsici that is one of the most devastating viruses impacted on the production of chili in the world, especially in South Asia. In the present study, we combined high-throughput computational genomics with experimental analysis of global diversity. A workflow was created using automated Python scripts to download, curate and process ChiLCV genomes from public database. About 410 complete ChiLCV genomes download from public databases. Using a phylogenetic approach, these isolates were subdivided into 34 strains, belonging to 10 major clades, showing significant genetic diversity. Geographic analysis revealed that Pakistan (207 isolates) and India (148 isolates) were the main sources of ChiLCV diversity and the remainder of the isolates were from Oman, Bangladesh, Iran, Saudi Arabia and Sri Lanka. Recombination was observed as a major evolutionary force as more than twenty recombination events were detected. Analysis of cis-regulatory elements showed a complex structure of the viral promoter, including multiple binding sites for transcription factors, hormone-response elements, light-responsive elements, and stress-responsive elements, indicating a high number of interactions between viral regulatory elements and host signaling pathways. Pangenome analysis showed the presence of a highly dynamic open pangenome made up of strain-specific orthologous groups (species-specific orthogroups). Experimental inoculation of chili plants was also carried out to assess the biological effects of infection, along with phytochemical, FTIR, HPLC, and qPCR analyses.

Begomovirus

Exploring the mechanism of aroma production in fermented cherry juice by L. brevis LD1.0600 using flavomics and whole genome analysis.

This study focused on L.brevis LD1.0600 with excellent fermentation traits: it analyzed genome-wide key regulatory genes for micro-metabolites, combined with fermented cherry juice flavor metabolomics data, and used machine learning to explore correlations between gene regulation, metabolite production, and flavor formation. The SVM model screened and verified fermented cherry juice VOCs; through OAV and flavor wheel analysis, LD1.0600 emerged as the top-performing strain, with a sweet, fruity dominant aroma. Key aroma-active components (OAV > 100) included 2-methoxy-4-vinylphenol, benzaldehyde, 2-methyl-butanoic acid and hexanoic acid, and 2-methoxy-4-vinylphenol and hexanoic acid elevated by LD1.0600-regulated genes (Chrom1-001884, Chrom1-000925, fabF and Chrom1-000199). At the same time, through research, a "strain screening-SVM screening of DVCs-OAV screening of key aroma components-whole genome sequencing of flavor regulatory genes" system was established. This system can not only be applied to the screen fermentation strains, but also can be extended to the application of other fermentation products.

Fermentation

Characterization and genomic analysis of Bacillus halotolerans G3-2: a potential biocontrol agent against apple Alternaria leaf blotch disease.

BACKGROUND: Apple Alternaria leaf blotch (ALB) is a devastating disease threatening the apple industry worldwide. Biocontrol offers an effective and environmentally friendly alternative for disease management. RESULTS: Bacillus strain G3-2 exhibits strong antagonistic activity against Alternaria alternata (a major causal pathogen of ALB). In dual-culture assays, G3-2 inhibited A. alternata by 88.39%; in detached-leaf inoculation assays, it reduced the lesion area by >88%. 16S rRNA sequencing and phylogenetic analysis identified this strain as Bacillus halotolerans. Oxford Nanopore Technology (ONT) sequencing generated a 4.18-Mb complete genome (43.8% G + C) containing 4149 protein-coding genes, 30 rRNAs and 86 tRNAs. CAZy annotation identified 182 genes encoding carbohydrate-active enzymes (CAZymes), including glycoside hydrolases, glycosyltransferase, and carbohydrate esterases, suggesting potential for glycosylated secondary metabolite production. AntiSMASH analysis detected nine biosynthetic gene clusters, including those for surfactin, fengycin, bacillaene and laterocidine. Plate assays confirmed that G3-2 has the ability to produce protease, cellulase and siderophore. Moreover, it exhibits ~70% inhibition against several other phytopathogenic fungi. CONCLUSIONS: These findings demonstrate that G3-2 suppresses A. alternata through antibiosis (lipopeptides and polyketides), nutrient competition (siderophores) and cell-wall degradation (proteases and cellulases). Moreover, our study revealed that it has great potential to be used as a broad-spectrum, environmentally friendly biocontrol agent. © 2026 Society of Chemical Industry.

Alternaria

Genomic analysis of breed composition and population structure in Montana composite cattle.

The Montana composite was developed in Brazil from crosses between Bos indicus and Bos taurus and structured into four biological types: Zebu (N), adapted taurine (A), British taurine (B), and continental taurine (C). This study aimed to characterize the genetic diversity and population structure of the Montana composite using genomic data through principal component analysis (PCA), admixture analysis, and Wright's FST statistic. The PCA revealed a clear separation between Bos indicus and Bos taurus groups, with Montana animals distributed in an intermediate position. The first two principal components explained 69.48% and 3.45% of the total variation, respectively. Supervised admixture estimates indicated a predominance of taurine contribution, with type A accounting for 34.47%, 52.64%, and 51.71% at K&#x2009;=&#x2009;4, 9, and 11, respectively. Increasing the ancestry resolution refined the contribution of individual founder breeds without changing the overall predominance of taurine ancestry. Comparisons between breed proportions obtained from pedigree and genomic data revealed significant differences, for most biological types and ancestry models (P&#x2009;<&#x2009;0.001), indicating that realized breed composition deviates from theoretical expectations. Estimates of genetic differentiation confirmed greater divergence between Zebu and taurine groups, as well as reduced distances among populations sharing common ancestry. Specific relationships were identified between the composite and some of its founder breeds, particularly Belmont Red, Senepol, and Tuli. Overall, the results demonstrate that the Montana composite has a complex genomic structure, with genomic ancestry varying according to the resolution adopted and differing from pedigree-based expectations.

Animals

SPC: a SPectral Component approach leveraging Identity-by-Descent graphs to address recent population structure in genomic analysis.

Population structure is a well-known confounder in statistical genetics, particularly in genome-wide association studies (GWAS), where it can lead to inflated test statistics and spurious associations. Traditional methods, such as principal components (PCs), commonly used to adjust for population structure, are limited in capturing fine-scale, non-linear patterns that arise from recent demographic events - patterns that are crucial for understanding rare variant effects. To address this challenge, we propose a novel method called SPectral Components (SPCs), which leverages identity-by-descent (IBD) graphs to capture and transform local, non-linear fine-scale population structure into continuous representations that can be seamlessly integrated into genetic analysis pipelines. Using both simulated datasets and empirical data from the UK Biobank (N &#x2248; 420,000), we demonstrate that SPCs outperform PCs in adjusting for fine-scale population structure. In simulations, SPCs explained over 90% of the fine-scale population structure with fewer components, while PCs captured less than 5%. In the UK Biobank, SPCs reduced the inflation of p-values in the GWAS of an environmental-driven phenotype by 12% compared to PCs, while maintaining a similar performance to PCs in height, a highly heritable phenotype. Additionally, SPCs improved rare variant association analyses, reducing genomic inflation (e.g., from 7.6 to 1.2 in one analysis), and provided more accurate heritability estimates. Spatial autocorrelation analysis further confirmed the ability of SPCs to account for environmental effects, reducing Moran's I for both environmental and heritable phenotypes more effectively than PCs. Overall, our findings demonstrate that SPCs provide a robust, scalable adjustment for recent population structure, offering a powerful alternative or complement to PCs in large-scale biobank studies.

GWAS

Back on the ground: genome analysis of convergent flight loss in rails.

Similar phenotypic traits can evolve independently in response to comparable environmental challenges. A striking example of this process is the repeated and irreversible loss of flight in birds, particularly on islands. The rail family (Rallidae) provides an exceptional model for studying this phenomenon, as nearly a quarter of the 130 extant species have independently become flightless. Here, we present the first genome-wide comparative analysis of multiple independent flightless rail lineages to identify the molecular basis of flight loss. We compared coding regions from 7 rail species (4 flightless and 3 volant) using more than 11,000 alignments and multiple phylogeny-based tests, including branch-site models of selection, relative evolutionary rate analyses, and assessments of function-altering amino acid substitutions. Across all analyses, 116 genes showed significant associations with flightlessness, of which 37 were linked to biological functions related to flight capacity-such as muscle, bone, limb, and heart development-or to traits reflecting ecological consequences of flight loss, including immune response, renal function, lipid metabolism, cognition, and sensory perception. Many genes under selection in flightless species were also involved in gene regulation and post-translational modification. These findings suggest that convergent loss of flight in rails arises not from major mutations in a few key loci but from numerous small, repeated genetic changes affecting both developmental pathways and regulatory mechanisms.

Animals

Genomic analysis of the liverpool epidemic strain of pseudomonas aeruginosa infecting persons with cystic fibrosis reveals likely Canadian origins.

INTRODUCTION: The Liverpool Epidemic Strain (LES) of Pseudomonas aeruginosa is one of several known strains to be transmissible between persons with cystic fibrosis (CF) (pwCF) and the only known strain to have infected large proportions of CF populations on two continents. Despite its prevalence, efforts to understand its spread have proven elusive. METHODS: We leveraged a prospective collection of P. aeruginosa isolates from pwCF attending the Southern Alberta Adult CF clinic from 1986 to 2020 to identify all individuals with LES infection. LES isolates collected every 1-2 years from each pwCF were sequenced and compared with 171 published LES genomes by phylogenetic analysis. RESULTS: Of 395 pwCF screened, ten pwCF infected with the LES were identified, from whom 46 LES isolates were sequenced. The earliest LES isolate was recovered in 1986, &#x223c;2 years earlier than the previously oldest published LES isolate recovered in the UK. Phylogenetic analysis identified a diverse set of isolates at the root of the LES phylogeny that formed four clades, one of which gave rise to a "classic LES" clade. Canadian isolates formed a paraphyletic group that included the root of this clade and out of which the UK LES clade emerged. We estimated the date of the most recent common ancestor (MRCA) of the UK LES clade as 1977. CONCLUSIONS: Our study provides genomic evidence in support of a silent epidemic of LES infection occurring in the late 1970s among pwCF first originating in Canada and being spread to the UK, where transmission markedly accelerated.

Humans

Nallo: a Nextflow pipeline for comprehensive human long-read genome analysis.

MOTIVATION: Long-read sequencing (LRS) is increasingly used for human medical research and clinical diagnostics due to its capacity to generate complete genome information. However, there is a lack of robust and easy-to-use pipelines for comprehensive LRS data analysis. RESULTS: Here we present Nallo, a Nextflow pipeline for analysis of PacBio and Oxford Nanopore data, with additional support for rare disease research projects. The pipeline detects a wide range of genetic variants, performs genome assembly, and reports CpG methylation. It also enables annotation and ranking of variants based on their predicted functional consequences. AVAILABILITY AND IMPLEMENTATION: Nallo is available from GitHub: https://github.com/genomic-medicine-sweden/nallo.

Humans

Clinical Characteristics and Genomic Analysis of Vancomycin-Resistant Enterococcus faecium in a Tertiary Hospital in Huizhou.

OBJECTIVE: To characterize the clinical and genomic features of vancomycin-resistant enterococci (VRE) in a tertiary hospital in Huizhou and identify risk factors to inform local infection control. METHODS: A retrospective study included 58 VRE and 25 vancomycin-susceptible Enterococci (VSE) strains (August 2023-May 2025). Clinical data and antimicrobial susceptibility were analyzed; whole-genome sequencing (WGS) was performed on 54 VRE strains. RESULTS: Midstream urine was the primary VRE-positive specimen. ICU admission, polyantibiotic use (&#x2265;3 agents), and urinary catheterization were key risk factors for VRE. All VRE isolates were Enterococcus faecium and showed a predominantly clonal population structure, dominated by CC17/ST80 (68.8%) and CC2/ST106 (64.6%) under the two multilocus sequence typing schemes; five novel STs were ultimately identified in the latter scheme. VRE was universally resistant to ampicillin, with high resistance to penicillin, levofloxacin, and teicoplanin, while linezolid and tigecycline remained effective. Genotypically, 94.8% carried vanA, 100% carried virulence gene esp, and aminoglycoside and macrolide resistance genes were prevalent. A unique VRE strain (VRE48) showed resistance without canonical van genes, harboring a Ddl Ser210Tyr mutation.

Humans

Genome analysis and antagonistic activity of Streptomyces sp. strain J36 against Phytophthora cactorum.

The Phytophthora blight of Panax notoginseng, caused by Phytophthora cactorum, is a devastating oomycete disease. Biocontrol strategies hold immense potential for inhibiting the spread of P. cactorum. We isolated 72 actinobacteria from soil and screened their antagonistic activity against P. cactorum. Both strain J36 and its cell-free filtrate exhibited strong antagonistic activity against P. cactorum and were therefore selected. Based on the 16S rRNA gene phylogenetic tree, strain J36 formed a well supported subclade with Streptomyces zaomyceticus NRRL B-2038 (bootstrap value 100%). However, because 16S rRNA sequences often lack sufficient resolution for species-level discrimination, we performed multilocus sequence analysis (MLSA) using three housekeeping genes (rpoB, recA, and atpD). The MLSA results consistently placed strain J36 within the same cluster as S. zaomyceticus NRRL B-2038, with a bootstrap support of 99%, indicating a close phylogenetic relationship. To further clarify the taxonomic status, we calculated the average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between strain J36 and the type strain of S. zaomyceticus NBC-00415T. The ANI value was 90.91% and the dDDH value was 39.30%, both well below the accepted thresholds for species demarcation (ANI&#x202f;<&#x202f;95%, dDDH < 70%). These genomic indices therefore strongly support that strain J36 represents a novel species within the genus Streptomyces. Through whole-genome sequencing and CAZymes analysis, a total of 98 carbohydrate-active enzymes (CAZymes) were detected, including 2 cellulase and 2 &#x3b2;-1,3-glucanases. The cell-free filtrate, which exhibited strong antagonistic activity against P. cactorum, also showed high activities of cellulase and &#x3b2;-1,3-glucanase, suggesting that these enzymes may be involved in its anti-oomycete activity. These findings suggest that J36 has potential as a biocontrol candidate, although further in vivo evaluation is needed to confirm its efficacy against Phytophthora blight of P. notoginseng.

Panax notoginseng