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PubMed2025

Analysis of Blood Microbiome From People Living With HIV and Donors by 16S rRNA Metagenomic Sequencing.

Utilize 16S rRNA sequencing technology to characterize bacterial species susceptible to people living with HIV (PLWH) across different stages. This mapping aims to establish a foundational framework for preventing secondary HIV infections, prolonging patient survival, enhancing quality of life, and advancing the diagnosis, treatment, and research of bacterial co-infections. In this study, we classified the participants into three groups: The blood of donors living with HIV (DI group), AIDS patients who have received ART treatment (PI group), and healthy blood donors as the control group (DH group). Each group was divided into three parallel subgroups, with 30 samples pooled from each parallel group for plasma extraction. As initial processing steps, the nine parallel subgroups were subjected to nucleic acid extraction and PCR amplification targeting the 16SV34 region. The resulting amplified products were subsequently forwarded to a sequencing company. It can be seen from the Venn diagram that the DI groups showed significantly higher bacterial diversity than the PI group and the DH group. The PI group had lower bacterial relative abundance and diversity compared to the DI group, with a community structure more similar to the control group. The DI group is particularly susceptible to several significant pathogens, including Ralstonia, Pseudomonas, Acinetobacter, Methyloversatilis, and Vibrio. The study revealed a greater quantity and diversity of bacteria in the DI blood compared to the PI and DH groups. This observation may be attributed to PI group patients in this study being hospitalized and receiving treatment.

Humans↗

PubMed2026

Zhiling Jiangya decoction treats hypertension in rats: An integrative study of network pharmacology, immune infiltration, molecular simulation, and 16S rDNA sequencing.

OBJECTIVE: This study integrated network pharmacology, immune infiltration analysis, molecular docking, molecular dynamics simulation, ADMET prediction, 16S rDNA sequencing, and rat experiments to elucidate the potential mechanisms underlying the antihypertensive effects of Zhiling Jiangya Decoction (ZLJYD). METHODS: Active compounds and their potential targets were screened from the PubChem, TCMSP, NovoPro, and SwissTargetPrediction databases. Hypertension-related targets were retrieved from the OMIM and GeneCards databases, and overlapping targets were identified. The STRING database and Cytoscape 3.10.1 software were used to construct a protein-protein interaction network and a herb-component-target-disease network. Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed to identify the key biological processes and signaling pathways involved. Using the CIBERSORT algorithm combined with correlation analysis, we investigated the association between key targets and immune cell infiltration. Molecular docking, molecular dynamics simulations, and ADMET predictions were performed to assess the binding stability and pharmacokinetic properties of the main compounds with their corresponding targets. Finally, the antihypertensive efficacy of ZLJYD was validated using a spontaneously hypertensive rat model, and alterations in gut microbiota were analyzed using 16S rDNA sequencing. RESULTS: A total of 123 active compounds and 267 hypertension-related targets of ZLJYD were identified. Enrichment analysis revealed that these targets were primarily associated with the PI3K-Akt signaling pathway and lipid and atherosclerosis pathways. Immune infiltration analysis suggested that the therapeutic effects of ZLJYD may involve the regulation of follicular helper T cells, naïve B cells, and naïve CD4⁺ T cells. Molecular docking and dynamics simulations supported the stable binding of key compounds to their target proteins, while ADMET predictions indicated favorable pharmacokinetic properties and safety profiles. Rat experiments demonstrated that ZLJYD significantly reduced blood pressure in spontaneously hypertensive rats, partially alleviated gut microbiota dysbiosis, and altered microbial community structure and phylogenetic diversity. CONCLUSION: This study systematically elucidates the potential mechanisms underlying the antihypertensive effects of ZLJYD through multiple components, targets, and pathways, particularly immune regulation and gut microbiota remodeling. These findings provide mechanistic insights into its potential therapeutic application.

16S rDNA sequencing↗

PubMed2026

GenBank mining reveals novel insights into Rhizobium phylogeny: Identical 16S rRNA sequences are mainly uncoupled from species designation, host plant, and geographic origin: How this search suggested the definition of a direct 'microbial h-index'.

16S rDNA is the historical gold standard for bacterial identification, particularly in metabarcoding approaches reliant on sequence similarity thresholds. We analyzed 6,660 Rhizobium 16S rRNA gene sequences from GenBank to examine the relationship between sequence identity and three metadata: species name, host plant, and geographic origin. Using an iterative BLAST-based pipeline, we detected 116,069 pairwise matches and assessed concordance among sequences (average length 1,328 bp) sharing 100% identity. For those in which the organism name, host plant and country of isolation were present in the record, surprisingly, 66.59% of identical sequence pairs showed full discordance across all three metadata, while only 1.40% shared the same name, host, and country. The most widespread sequence, detected 371 times, was associated with over 56 different host plants across 25 countries and bore multiple species name designations. These results highlight a striking mismatch between the 16S barcode and the taxonomic, ecological, and phenotypic variability it is assumed to reflect, likely arising from the slow evolution of rRNA genes contrasted with the mobility of ecologically relevant genes via horizontal transfer on plasmids, transposons, and phages. Our findings further challenge the limitations of relying on 16S rRNA alone for fine-scale taxonomic and metadata-based inference in capturing the true functional and ecological diversity of bacteria, endorsing the critical importance of polyphasic taxonomic approaches that integrate genomic, phenotypic, and ecological data. An interesting byproduct of the analysis was to realize the possibility of treating these data as if they were 'citations.' The more one finds the same query sequence, the more that sequence can be considered biologically 'cited', i.e., re-proposed elsewhere in the world. Thus, one can also analyze the h-index of such a ranking. In our Rhizobium dataset, we calculated an h-index = 201, meaning the sequence ranked 201st had 202 identical homologues in GenBank. Although the research effort on given species is directly connected with it, this number provides a quantitative indicator of a taxon's sequence recurrence and distribution within public databases, independent of nomenclatural inconsistencies, offering a novel framework for assessing bacterial representation across global datasets.

RNA, Ribosomal, 16S↗

PubMed2026

Oral bacteriome in pediatric patients with malignancies prior to chemotherapy: a pilot study using full-length 16S rRNA sequencing.

OBJECTIVE: To characterize the composition, diversity, and ecological features of the oral bacteriome in pediatric patients with malignancies prior to chemotherapy initiation. METHODS: In this prospective pilot study,supragingival plaque samples were collected from 10 pediatric cancer patients prior to the initiation of chemotherapy. Bacterial genomic DNA was extracted from each sample, and the full-length 16S rRNA gene was amplified and sequenced on the PacBio Sequel II platform using circular consensus sequencing (CCS). Raw CCS reads were quality-filtered and denoised into amplicon sequence variants (ASVs) using DADA2, and taxonomic assignment was performed against the SILVA 138 reference database. Alpha diversity was assessed using the Chao1, Shannon, Simpson, and Faith's phylogenetic diversity (PD whole tree) indices, while beta diversity was evaluated through principal coordinate analysis (PCoA), and non-metric multidimensional scaling (NMDS). Microbial co-occurrence networks were constructed to characterize bacterial interactions, and functional potential was predicted using PICRUSt2, and BugBase. RESULTS: A total of 614,473 high-quality CCS reads were generated, yielding 1,697 ASVs. Alpha diversity analysis revealed substantial inter-individual variation in microbial richness and diversity among the pediatric cancer patients. The bacterial community was dominated by the phyla Firmicutes, Proteobacteria, Bacteroidota, Actinobacteriota. At the genus level, Streptococcus, Prevotella, Neisseria, and Haemophilus were the most abundant taxa. Beta diversity analysis revealed distinct clustering patterns, indicating highly individualized microbial profiles. Co-occurrence network analysis identified several keystone taxa and potential pathogenic associations within the supragingival plaque community. Functional prediction indicated that the dominant metabolic pathways were related to amino acid metabolism, carbohydrate metabolism, and membrane transport. CONCLUSION: These preliminary findings reveal a taxonomically diverse, highly individualized pre-chemotherapy oral bacteriome, providing foundational baseline profiles to guide future longitudinal investigations of chemotherapy-induced dysbiosis and personalized interventions.

Humans↗

PubMed1979

Tandem promoters direct E. coli ribosomal RNA synthesis.

To determine the special feature of ribosomal RNA promoters that might account for the highly efficient and regulated synthesis of rRNA in E. coli, we have analyzed the beginnings of two ribosomal RNA operons, rrnD and rrnX. DNA sequences for 425 bp preceding those specifying mature 16s rRNA are reported. In vitro transcription of restriction endonuclease fragments containing this region from either operon reveals the presence of two promoters about 110 nucleotides apart; they are denoted P1 and P2. RNA synthesis from P1 is initiated with GTP at position -284 (relative to 16s sequences) in rrnD and with ATP at position -285 in rrnX. At P2, the RNA starts with CTP primarily at position-176 in both operons. The DNA sequences of the two operons are identical for 231 bp preceding the 16s rDNA (including a substantial region around P2); they then diverge almost completely, except for a notable 18 bp homology just preceding the transcription start site for P1. Certain sequences implicated in the recognition of promoters by E. coli RNA polymerase are clearly identifiable in both P1 and P2; other features include an extended region preceding P1 which is strikingly rich in AT base pairs. Possible mechansims by which these tandem promoters contribute to the high frequency of rRNA transcription and to the differential expression of the E. coli rrn operons are discussed.

Base Sequence↗

PubMed1978

Conservation of the primary structure at the 3' end of 18S rRNA from eucaryotic cells.

DNA sequencing methods have been used to determine a sequence of about 20 nucleotides at the 3' termini of various 18S (small ribosomal subunit) RNA molecules. Polyadenylated rRNA was first synthesized using the enzyme ATP:polynucleotidyl transferase from mainze. Then in the presence of an oligonucleotide primer uniquely complementary to the end of each adenylated rRNA, a cDNA copy was produced using AMV reverse transcriptase. In every case, the cDNA transcript was of finite size, which we ascribe to the appearance of an oligonucleotide containing m62A near the 3' end of the 18S rRNAs. Sequences at the 3' termini of 18S rRNA molecules from the four eucaryotic species examined here (mouse, silk worm, wheat embryo and slime mold) are highly conserved. They also exhibit strong homology to the 3' end of E. coli 16S rRNA. Two important differences, however, are apparent. First, the 16S sequence CCUCC, implicated in mRNA binding by E. coli ribosomes, is absent from each eucaryotic rRNA sequence. Second, a purine-rich region which exhibits extensive complementarity to the 5' noncoding regions of many eucaryotic mRNAs appears consistently.

Animals↗

PubMed2025

Evaluation of the gastric microbiota based on body mass index using 16S rRNA gene sequencing.

INTRODUCTION: Obesity is a multifactorial condition influenced by various factors, including the gut microbiota. However, the relationship between the gastric microbiota and obesity remains poorly understood. This study aimed to investigate the composition of gastric microbiota, excluding Helicobacter pylori, in relation to body mass index (BMI) and metabolic indicators. METHODS: Thirty participants undergoing health checkups were classified into three groups-normal weight (BMI 18.5-22.9), overweight (BMI 23.0-24.9), and obese (BMI ≥25.0)-with ten individuals per group. Those with H. pylori infection, atrophic gastritis, or intestinal metaplasia were excluded. Gastric microbiota from four antral biopsies per subject were analyzed using 16S rRNA sequencing and functional profiling by metagenomic prediction. RESULTS AND DISCUSSION: Alpha diversity (Gini-Simpson index) was significantly lower in the combined overweight/obese group than that in the normal group (P=0.049). Beta diversity analysis revealed clear group separation (Bray-Curtis, P=0.005; unweighted UniFrac, P=0.004). Significant species differences between the groups were observed; specifically, the abundances of Muribaculum gordoncarteri, Turicibacter bilis, and Duncaniella dubosii, were significantly reduced in the overweight/obese group. Functional predictions showed differential enrichment of pathways related to fatty acid, amino acid, vitamin, and carbohydrate metabolism across BMI categories. These findings suggest that alterations in the gastric microbiota may be linked to obesity and metabolic dysregulation.

Humans↗

PubMed2026

Indoor Air Quality (IAQ) analysis and 16S rRNA gene sequencing of indoor air pollutants in a 3000-capacity religious auditorium.

A thorough molecular and environmental evaluation of microbial isolates and indoor air quality (IAQ) at a place of worship is presented in this work. The study used a dual-methodological approach, including systematic environmental monitoring to assess occupant health concerns and 16S rRNA gene sequencing for taxonomic identification. Four different bacterial isolates were successfully identified by molecular analysis using BLAST and phylogenetic reconstruction: Bacillus tropicus (A11), Leclercia adecarboxylata (A12), Acinetobacter sp. (A13), and Escherichia coli (A14). The evolutionary position of isolate A13 indicated possible horizontal gene transfer, underscoring the existence of flexible, opportunistic pathogens within the indoor environment, whereas isolates A11 and A14 demonstrated significant genetic stability. Concurrently, six sessions of air quality monitoring showed a thermally demanding environment, with humidity (56.00-70.51%) and temperatures (29.21-33.79 °C) continuously surpassing ASHRAE guidelines. The average pollutant concentrations are within WHO and USEPA safety criteria, however, there were outliers that may suggest sporadic pollutant penetration (outdoor) or resuspension of dust. The results demonstrate a clear relationship between increased chemical pollutants (TVOCs) and reduced thermal comfort. To reduce the congregation's acute respiratory and cardiovascular risks, optimal ventilation systems and source-control measures are urgently needed, as evidenced by the presence of clinically relevant microorganisms combined with dangerous pollution levels.

Analysis↗

PubMed2026

A hybrid and cost-efficient barcoding strategy for full-length 16S rRNA gene nanopore sequencing of environmental samples.

BACKGROUND: Accurate species-level identification of bacteria in complex environmental samples is essential for applications in biotechnology, ecological monitoring, and clinical diagnostics. Short-read platforms such as Illumina frequently truncate the 16S rRNA gene, limiting taxonomic resolution. In this work, we applied Oxford Nanopore Technology (ONT) long-read sequencing to full-length 16S rRNA amplicon in samples from natural soil amended with lignocellulosic biomass and a simplified microbial community derived from cultures grown on selective and differential carboxymethyl cellulose (CMC)-based substrates, with the aim to evaluate the difference in performance between a real, complex community and a less complex system. To reduce consumable costs, we substituted the standard ONT Barcoding kits with an in-house hybrid barcoding workflow. Specifically, PacBio PCR-based barcoding protocol was used for sample indexing, followed by library preparation using the ONT Ligation Sequencing Kit. This simplified approach retained compatibility with MinION and Flongle flow cells and supported accurate downstream demultiplexing while lowering barcode costs substantially. Additionally, a new bioinformatic workflow tailored to ONT data was implemented. RESULTS: Overall, the hybrid protocol significantly reduced per-sample barcoding costs while preserving high sequencing quality and throughput. The sequencing run yielded over 5 Gb of quality-filtered data (Q-score ≥ 10). Furthermore, the new bioinformatic workflow allowed taxonomic assignment at the species level for 49.38% of annotated taxa, compared to just 4.59% using Illumina NovaSeq sequencing of the V3-V4 region. ONT also recovered 2.3 times more genera and 1.3 times more families. Although 16S rRNA gene sequencing often cannot distinguish between closely related species, particularly within taxonomically complex groups, in this work, full-length reads substantially improved both taxonomic resolution and database matching. CONCLUSIONS: These results show that full-length 16S rRNA sequencing with ONT, paired with a low-cost barcoding strategy, enhanced taxonomic resolution compared to short-read workflows. This approach also offers a scalable and cost-effective option for high-resolution microbiome profiling in research and applied settings.

RNA, Ribosomal, 16S↗

PubMed1979

Cyanobacterial evolution: results of 16S ribosomal ribonucleic acid sequence analyses.

We report here the sequences of oligonucleotides released by T1-ribonuclease digestion of the 16S ribosomal RNA's (rRNA's) of unicellular cyanobacteria Agmenellum quadruplicatum (strain BG-1) and Synechococcus 7502. We compare them with sequences previously obtained for the 16S RNA's of six other cyanobacteria and two chloroplasts, and conclude that: (i) Synechocystis-like unicells form a discrete cluster which also (and surprisingly) includes Agmenelium quadruplicatum, usually considered to be a Synechococcus; (ii) filamentous cyanobacteria of the genera Nostoc and Fischerella arose from within the Synechocystis group; (iii) phylogenetic diversity (and hence presumably evolutionary antiquity) within the Synechococcus group is very great; and (iv) red algal chloroplasts are of definite cyanobacterial origin, while Euglena chloroplasts are of separate and quite possibly noncyanobacterial origin. We also present the results of a computer-aided search among the 10 oligonucleotide 'catalogues' for families of related but nonidentical sequences. Examination of these families reinforces the above conclusions.

Base Sequence↗

PubMed2025

Cerebrospinal fluid microbiome revisited: no evidence of resident bacteria in archived samples.

UNLABELLED: DNA from oral bacteria has been detected in the cerebrospinal fluid (CSF) of patients with Alzheimer's disease and related dementias (AD/ADRD). We hypothesized that examination of archived CSF samples from donors with variable cognitive status would reveal evidence of a resident microbiome. 176 CSF samples harvested from community-dwelling individuals (77% between 61 and 80 years old) were analyzed; 57% originated from donors with impaired cognitive status. DNA was extracted after adding microbial spike-in controls, and libraries were prepared and sequenced on an Illumina-MiSeq platform. 16S rRNA sequences were processed, and a taxonomic classification was performed. Spike-in bacteria were consistently detected, and Streptococcus pneumoniae was found in a positive control sample from a patient with bacterial meningitis. However, very few reads mapping to other bacterial taxa were detected across samples, suggesting a negligible bacterial content consistent with occasional contamination or sequencing errors. CSF is a privileged, sterile environment that does not harbor a resident microbiome in elderly people with various morbidities, including AD/ADRD. IMPORTANCE: Recent reports have suggested that DNA from oral bacteria has been found in the cerebrospinal fluid (CSF) of patients with Alzheimer's disease and related dementias (AD/ADRD). We hypothesized that examination of archived CSF samples from donors with variable cognitive status would reveal evidence of a resident microbiome. We thus analyzed 176 CSF samples harvested from community-dwelling individuals including donors with impaired cognitive status. While our findings suggested the presence of occasional bacterial contamination, they provided no evidence of a resident microbiome. We thus conclude that the CSF is indeed a privileged, sterile environment that does not harbor a resident microbiome in elderly people with various morbidities including AD/ADRD.

Humans↗

PubMed1975

The 3' terminal oligonucleotide of E. coli 16S ribosomal RNA: the sequence in both wild-type and RNase iii- cells is complementary to the polypurine tracts common to mRNA initiator regions.

Application of Sanger techniques to the analysis of the 3' terminal oligonucleotide from E. coli 32-P-labelled 16 S rRNA yields the sequence AUCACCUCCUUAOH. This sequence is identical in RNA isolated from two wild-type strains (MRE600 and E. coli B, SY106) and from a mutant strain (AB301/105) defective in RNase III. Data presented here explains the previous derivation of an incorrect sequence (AUCCUCACUUCAOH) by others. The functional significance of complementarity between the 3' terminus of 16S rRNA and poly-purine tracts commonly found in mRNA initiator regions is discussed.

Base Sequence↗

PubMed2026

Presence of Dolosigranulum pigrum in the nasopharynx and its relationship with respiratory health status in paediatric population.

BACKGROUND: Respiratory tract infections range from asymptomatic colonisation to an invasive disease. Recent studies suggest that nasopharyngeal microbiota may influence this variability. Emerging evidence points to Dolosigranulum pigrum, a nasopharyngeal commensal, as a potentially protective bacterium. This study aimed to identify variables associated with the presence of D. pigrum in the nasopharynx of children with varying respiratory health statuses. METHODS: Nasopharyngeal aspirates were collected from children <18 years who were asymptomatic (n = 65), had banal viral infection (n = 48), or Invasive Pneumococcal Disease (IPD) (n = 27). The presence of D. pigrum was defined as >0.1% of total sequences obtained by 16S rRNA gene sequencing. Variables included sex, breastfeeding, delivery mode, S. pneumoniae carriage, respiratory viruses and clinical features. RESULTS: Among 140 children (73 males, 67 females), D. pigrum was detected in 79 (56.4%): 44/65 in the healthy group; 26/48 of viral and 9/27 IPD cases. Multivariate analysis revealed significant associations with health status and sex. Healthy children were more likely to carry D. pigrum than IPD cases (44/79 vs. 26/79; p = 0.028). Males were more frequently D. pigrum carriers than females (48/79 vs. 31/79; p = 0.033). CONCLUSION: D. Pigrum was associated with respiratory health, being more prevalent in healthy children, and showed potential sex-related differences.

Humans↗

PubMed2026

First report of tomato spotted wilt virus (Orthotospovirus tomatomaculae) and phytoplasma in China aster and development of duplex PCR, LAMP, and qPCR assays for rapid detection.

UNLABELLED: China aster (Callistephus chinensis) is an economically important ornamental crop widely cultivated for cut flowers and landscaping. During field surveys conducted in three districts of Karnataka, India, China aster plants exhibiting chlorotic and necrotic ring spots, leaf deformation, and witches' broom symptoms were collected and analyzed to determine the causal agents. Mechanical inoculation of symptomatic leaf sap onto cowpea (Vigna unguiculata cv. C-152) produced characteristic chlorotic and necrotic ring spots on newly emerging leaves indicating the presence of an infectious viral agent. Serological assay by DAC-ELISA followed by RT-PCR confirmed the presence of tomato spotted wilt virus (TSWV, Orthotospovirus tomatomaculae) in symptomatic plants. Similarly the plants exhibiting witches' broom symptoms tested positive for phytoplasma infection using universal and Nested primers PCR assays targeting the 16S rRNA gene. Sequence analysis of TSWV CP gene revealed more than 97% nucleotide identity with TSWV isolates reported from India and other countries. Based on these results, one representative isolate was selected for complete genome sequencing. The complete sequences of the L, M, S RNA segements were amplified cloned, and sequenced showing more than 97% nucleotide identity with global TSWV isolates available in database. Sequence analysis of 16S rRNA gene of the phytoplasma associated with witches' broom symptoms was identified as 'Candidatus Phytoplasma australasiaticum' belonging to the 16SrII-D subgroup, sharing 99.2% nucleotide identity with previously reported isolates. Phylogenetic analysis further supported the placement of both the TSWV and phytoplasma isolates within their respective taxonomic groups. To facilitate rapid and sensitive diagnosis, quantitative PCR (qPCR) and RT-LAMP assays were developed for TSWV detection. In addition a duplex PCR assay was optimized for simultaneous detection of TSWV and phytoplasma from infected China aster plants in a single reaction. This study represents the first reports of the complete genome characterization of TSWV and phytoplasma infection in China aster in India along with the development of sensitive qPCR, RT-LAMP, and duplex PCR assays for rapid detection of these pathogens providing valuable tools for disease diagnosis, epidemiological studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s13205-026-05038-w.

China aster↗

PubMed2026

Ecological and methodological insights from genetic and coprological profiling of gastrointestinal communities in wild howler monkeys.

The gastrointestinal tract hosts a complex community of microorganisms and helminth parasites that collectively contribute to host health and fitness. Analysis of these communities provides insight into diverse aspects of host dietary ecology, immunity, nutrition, and host-parasite interactions. However, research methodologies, such as sample preservation and sequencing approach, can influence how we understand and characterize these features. Here, we profiled the gastrointestinal microbial and helminth communities in different groups of wild Costa Rican mantled howler monkeys (Alouatta palliata palliata). We compared samples stored in ethanol versus directly flash frozen, and contrasted conclusions drawn from 16S versus shotgun sequencing approaches. Bacterial, archaeal, and eukaryotic taxa associated with the digestion of plant material dominated the GI communities. Storage and sequencing methods influenced microbial profiles: ethanol-stored samples exhibited higher diversity than frozen samples, and 16S sequencing detected lower diversity than shotgun. Helminths were detected via coprological microscopy in 71% of individuals, whereas metagenomic detection was inconsistent. This study provides new data on the microorganisms and their putative digestive functions in the gut of a folivorous primate, and highlights the pros and cons of different methodological choices when profiling host-microbiome and host-parasite interactions.

Animals↗

PubMed2026

Application of PathoChip to urine-derived nucleic acids for broad microbial profiling in men with suspected prostate cancer: setup of a methodological workflow and pilot feasibility study.

BACKGROUND: Urine-based liquid biopsy is an attractive non-invasive source of prostate cancer (PCa) biomarkers, but urinary microbiome studies have mainly relied on 16S rRNA sequencing or shotgun metagenomics. This pilot study optimized and evaluated a practical workflow using PathoChip - a broad-spectrum microarray designed to detect bacterial, viral, fungal, and parasitic signatures - for microbial profiling of urine sediments from men with suspected PCa, an application not previously established. METHODS: First-morning urine was collected without prostatic massage from 35 men scheduled for biopsy; 19 were diagnosed with PCa and 16 were biopsy-negative. Different urine volumes and extraction strategies were evaluated to optimize DNA/RNA recovery. A setup phase compared 25 ng versus 50 ng of urine DNA and RNA input. DNA/RNA isolated from human B cells was used as reference control. An analysis pipeline was developed to detect outlier probes and create a presence/absence matrix. Reproducibility was assessed via library yield, Pearson correlation, blank-control subtraction, outlier probe detection. Prevalence comparisons were performed between clinical groups. RESULTS: An 8 mL starting volume was chosen as consistently available from self-collected urine. Sequential DNA/RNA extraction using the AllPrep DNA/RNA Micro Kit from sediment provided the best balance between nucleic-acid recovery, purity, and clinical compatibility. Reducing the input from 50 ng to 25 ng preserved highly concordant hybridization profiles, with matched samples clustering together with strong correlations. Exploratory analysis revealed PCa- and grade-associated patterns involving Actinomycetaceae, Aerococcaceae, and Streptococcaceae, with Streptococcaceae enriched in PCa of higher grades (ISUP GG ≥ 2). Other signatures, including Mobiluncus, Prevotella, Rhodotorula, Hymenolepis, and JC polyomavirus, were broadly detected but not PCa-discriminating. CONCLUSIONS: PathoChip can be adapted to urine sediments, generating reproducible microbial profiles from limited DNA/RNA input without prostatic massage. This platform provides a quick and accessible approach to broad screening, extending beyond 16S rRNA sequencing by enabling simultaneous multi-kingdom detection. The observed PCa- and grade-associated patterns are hypothesis-generating and require validation in larger independent cohorts.

Pathochip↗

PubMed2024

Intestinal microbiome profiles in broiler chickens raised without antibiotics exhibit altered microbiome dynamics relative to conventionally raised chickens.

The present study was undertaken to profile and compare the cecal microbial communities in conventionally (CONV) grown and raised without antibiotics (RWA) broiler chickens. Three hundred chickens were collected from five CONV and five RWA chicken farms on days 10, 24, and 35 of age. Microbial genomic DNA was extracted from cecal contents, and the V4-V5 hypervariable regions of the 16S rRNA gene were amplified and sequenced. Analysis of 16S rRNA sequence data indicated significant differences in the cecal microbial diversity and composition between CONV and RWA chickens on days 10, 24, and 35 days of age. On days 10 and 24, CONV chickens had higher richness and diversity of the cecal microbiome relative to RWA chickens. However, on day 35, this pattern reversed such that RWA chickens had higher richness and diversity of the cecal microbiome than the CONV groups. On days 10 and 24, the microbiomes of both CONV and RWA chickens were dominated by members of the phylum Firmicutes. On day 35, while Firmicutes remained dominant in the RWA chickens, the microbiome of CONV chickens exhibited am abundance of Bacteroidetes. The cecal microbiome of CONV chickens was enriched with the genus Faecalibacterium, Pseudoflavonifractor, unclassified Clostridium_IV, Bacteroides, Alistipes, and Butyricimonas, whereas the cecal microbiome of RWA chickens was enriched with genus Anaerofilum, Butyricicoccu, Clostridium_XlVb and unclassified Lachnospiraceae. Overall, the cecal microbiome richness, diversity, and composition were greatly influenced by the management program applied in these farms. These findings provide a foundation for further research on tailoring feed formulation or developing a consortium to modify the gut microbiome composition of RWA chickens.

Animals↗

PubMed2026

Oxford Nanopore Sequencing of Clinical DNA for Identification and Comparative Genomic Analysis of Erysipelothrix piscisicarius.

The genus Erysipelothrix comprises facultative anaerobic, nonspore-forming, gram-positive bacteria that can cause skin infections and severe diseases such as septicemia and endocarditis in humans. Although E. rhusiopathiae is the primary pathogen, other species may also be involved, necessitating accurate identification. However, 16S rDNA sequencing lacks sufficient resolution to differentiate among Erysipelothrix species. In this study, we used Oxford Nanopore Technology (ONT) to directly sequence low-quality DNA extracted from heart valve tissue of a 66-year-old female patient with a fatal case of septicemia and aortic endocarditis. In contrast to 16S rDNA Illumina sequencing and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), which incorrectly identified the pathogen as E. rhusiopathiae, direct sequencing via ONT precisely identified E. piscisicarius as the cause of infection. About 1.47 Mb genome was retrieved from nanopore direct sequencing. Within the E. piscisicarius genome, we detected genes associated with virulence. Phylogenetic analysis showed that our strain clustered with a human-derived E. piscisicarius strain from China and swine-derived strains from Brazil. In conclusion, this study demonstrated that ONT can be used to sequence low-quality DNA extracted directly from patient specimens, obtain a draft bacterial genome, and reliably distinguish between pathogenic species.

Aged↗