SEARCH · PubMed Health

Results for “Genome, Microbial”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 829 records · Page 46Linked to original sources

PubMed2007

Microarray-based analysis of changes in diversity of microbial genes involved in organic carbon decomposition following land use/cover changes.

To increase our understanding of the impact of land use/cover changes on soil microbial decomposition genes involved in organic carbon decomposition, we analyzed soil samples in four sites with different land cover/use histories in a subalpine region of western Sichuan. One site was in a primitive Abies faxoniana forest, the second and the third sites were spruce plantations established in 1960's and 1980's, respectively, and the fourth site was in a cropland dating back to 1960's. The genomic DNA from the microbial community was isolated and hybridized against a functional gene microarray containing 1,961 probes. There were 39, 62, 41, and 28 gene probes with statistically significant positive signals and the gene diversity index (H') values were 3.59, 4.04, 3.70 and 3.16 in primitive forest, spruce plantations established in 1960s and 1980s and cropland, respectively. The results suggested that the number of functional genes and the gene diversity index were correlated with increasing amounts of soil organic carbon, except in the primitive Abies faxoniana forest site. cluster analysis demonstrated that primitive forest soil was clustered more closely to soil from the spruce plantation established in 1960s.

Biodiversity↗

PubMed2026

Maternal contact and age-dependent succession influence the assembly of the calf rumen microbiome and virome.

Early-life colonization of the rumen is particularly important; however, the processes by which microbial and viral communities are transmitted and developed remain poorly understood. Here, we present a genome-resolved investigation of the effects of maternal contact and age-dependent succession on the calf rumen microbiome and DNA virome by comparing calves raised with or without maternal contact across early life using the metagenome-assembled genomes (MAGs) and viral operational taxonomic units (vOTUs) reconstructed from whole- and virus-like particle metagenomes. Across longitudinal samples from calves and their mothers, we identified 694 MAGs and 30,479 vOTUs, substantially expanding current genome databases and revealing extensive microbial and viral novelty. Our analyses demonstrated that both prokaryotes and DNA viruses are shared between dams and calves, with greater sharing observed in calves raised with maternal contact than in calves raised without maternal contact. Notably, viral sharing between cow-calf pairs was markedly lower compared to prokaryotes, suggesting high turnover and rapid viral diversification. Age-associated analyses further revealed coordinated shifts in prokaryotes and their viruses, with dominant genera such as Prevotella, Ruminococcus, and Fibrobacter, and their corresponding viruses increasing after day 40. These findings indicate that the early-life rumen microbiome and DNA virome undergo substantial age-dependent succession and are associated with maternal contact, providing new insights into host-microbe-virus interactions during rumen development.IMPORTANCEThis study provides one of the first genome-resolved views of DNA viral community development during early rumen colonization in calves (from 1 week to 70 days of age) and reveals how maternal contact and age influence the establishment of the calf rumen microbiome and virome. By analyzing longitudinal samples from calves raised with or without their mothers, we show that prokaryotes and their viruses undergo coordinated, age-dependent succession. Our results demonstrate that maternal separation alters the assembly of the calf rumen microbiome, highlighting the influence of maternal contact during early-life rumen development. These findings underscore the high plasticity of the early-life rumen ecosystem and suggest that early management practices, such as maternal separation, can have lasting effects on rumen development. This work provides fundamental insights into the establishment and succession of the calf rumen microbiome and DNA virome during early life and may contribute to future microbiome manipulation studies.

Animals↗

PubMed2026

First-line drug-resistant tuberculosis among children under 15 years in Ethiopia: insights from phenotypic and whole-genome sequencing approaches.

BACKGROUND: Childhood drug-resistant tuberculosis is often underdiagnosed and inadequately characterized due to the paucibacillary nature of the disease. This study aimed to assess resistance to first-line anti-tuberculosis drugs in children using phenotypic drug susceptibility testing and whole-genome sequencing. METHODS: A retrospective-prospective study was conducted on culture-confirmed childhood tuberculosis cases in Ethiopia (2017–2023). Phenotypic drug susceptibility testing was performed on 110 Mycobacterium tuberculosis complex isolates. Whole-genome sequencing was completed for 85 of these isolates, which were analyzed using the TB-Profiler and MTBSeq pipelines. We assessed the sensitivity, specificity, predictive values, and kappa agreement of whole-genome sequencing compared with phenotypic drug susceptibility testing. RESULTS: Phenotypic resistance to at least one first-line anti-TB drug was observed in 26/110 (23.6%) of the examined isolates, with isoniazid resistance being the most frequent, 23/110 (20.9%), followed by rifampicin resistance, 18/110 (16.4%). TB-Profiler showed almost perfect agreement with phenotypic drug susceptibility testing for rifampicin (sensitivity 94.4%, kappa = 0.96) and isoniazid (sensitivity 91.3%, kappa = 0.91), whereas MTBSeq showed slightly lower performance. Both pipelines demonstrated moderate to weak agreement with phenotypic drug susceptibility testing for detecting resistance to ethambutol, pyrazinamide, and streptomycin. The most frequently observed resistance mutations among phenotypically resistant isolates were rpoB (Ser450Leu), katG (S315Thr), embB (Met306Ile), and pncA (C-11 A > G) for rifampicin, isoniazid, ethambutol, and pyrazinamide, respectively. Discrepancies between genotypic and phenotypic drug susceptibility testing were observed across all first-line anti-TB drug-resistant isolates, particularly for ethambutol and pyrazinamide. CONCLUSION: We found a high prevalence of isoniazid resistance, along with rifampicin resistance, underscoring the need for early detection in vulnerable groups. Whole-genome sequencing showed good accuracy for these drugs, with TB-Profiler performing best. CLINICAL TRIAL NUMBER: Not applicable.

Humans↗

PubMed2004

A predator unmasked: life cycle of Bdellovibrio bacteriovorus from a genomic perspective.

Predatory bacteria remain molecularly enigmatic, despite their presence in many microbial communities. Here we report the complete genome of Bdellovibrio bacteriovorus HD100, a predatory Gram-negative bacterium that invades and consumes other Gram-negative bacteria. Its surprisingly large genome shows no evidence of recent gene transfer from its prey. A plethora of paralogous gene families coding for enzymes, such as hydrolases and transporters, are used throughout the life cycle of B. bacteriovorus for prey entry, prey killing, and the uptake of complex molecules.

Adenosine Triphosphate↗

PubMed2005

Software for optimization of SNP and PCR-RFLP genotyping to discriminate many genomes with the fewest assays.

BACKGROUND: Microbial forensics is important in tracking the source of a pathogen, whether the disease is a naturally occurring outbreak or part of a criminal investigation. RESULTS: A method and SPR Opt (SNP and PCR-RFLP Optimization) software to perform a comprehensive, whole-genome analysis to forensically discriminate multiple sequences is presented. Tools for the optimization of forensic typing using Single Nucleotide Polymorphism (SNP) and PCR-Restriction Fragment Length Polymorphism (PCR-RFLP) analyses across multiple isolate sequences of a species are described. The PCR-RFLP analysis includes prediction and selection of optimal primers and restriction enzymes to enable maximum isolate discrimination based on sequence information. SPR Opt calculates all SNP or PCR-RFLP variations present in the sequences, groups them into haplotypes according to their co-segregation across those sequences, and performs combinatoric analyses to determine which sets of haplotypes provide maximal discrimination among all the input sequences. Those set combinations requiring that membership in the fewest haplotypes be queried (i.e. the fewest assays be performed) are found. These analyses highlight variable regions based on existing sequence data. These markers may be heterogeneous among unsequenced isolates as well, and thus may be useful for characterizing the relationships among unsequenced as well as sequenced isolates. The predictions are multi-locus. Analyses of mumps and SARS viruses are summarized. Phylogenetic trees created based on SNPs, PCR-RFLPs, and full genomes are compared for SARS virus, illustrating that purported phylogenies based only on SNP or PCR-RFLP variations do not match those based on multiple sequence alignment of the full genomes. CONCLUSION: This is the first software to optimize the selection of forensic markers to maximize information gained from the fewest assays, accepting whole or partial genome sequence data as input. As more sequence data becomes available for multiple strains and isolates of a species, automated, computational approaches such as those described here will be essential to make sense of large amounts of information, and to guide and optimize efforts in the laboratory. The software and source code for SPR Opt is publicly available and free for non-profit use at http://www.llnl.gov/IPandC/technology/software/softwaretitles/spropt.php.

Cluster Analysis↗

PubMed2026

Minimizing decompression and warming during deep seawater collection increases abundance and activity of autochthonous bacteria and archaea.

The deep ocean hosts autochthonous pressure-adapted microorganisms that are unique to this environment, as well as allochthonous pressure-sensitive members transported from shallow depths by vertical advection and particle-sinking. However, conventional sampling instruments decompress and warm deep-sea samples during retrieval, potentially altering microbial properties when studied ex situ. Here, we assess this potential sampling bias by comparing seawater microbial communities collected with or without measures aimed at minimizing pressure and temperature effects. When compared to samples collected under pressurized conditions, conventional sampling (using Niskin bottles) was found to affect prokaryotic cells retrieved by reducing their total numbers, diminishing protein synthesis activity (>10%), and also causing overall shifts in the community composition. The most significant compositional change was a >20% decrease in metagenomic archaeal representation (TACK-group/Thaumarchaeota/Nitrososphaerota). Deep-sea bacterial groups had mixed responses to preserving pressure during retrieval, with some groups exhibiting higher representation when samples were maintained pressurized (e.g. members of the family Pelagibacteraceae, unclassified Thiotricales, Thioglobaceae, and Chitinophagaceae), whereas others increased their representation when decompressed (e.g. Burkholderiaceae, Comamonadaceae, and Oxalobacteraceae). This study reveals the existence of bias introduced by the complete decompression of samples retrieved with traditional instrumentation, as well as a decrease in overall bacterial activity when samples are completely decompressed during retrieval. Additionally, incubations lasting for >24 h were shown to transform the original prokaryotic community composition. Precautions addressing these effects are necessary to enhance the reliability of ex situ measurements and improve our understanding of deep-sea microbial ecology and biogeochemistry.

Seawater↗

PubMed2026

Gut microbiota-driven indole-3-propionic acid and kynurenine production is associated with improved metabolic adaptation in periparturient dairy cows.

BACKGROUND: Gastrointestinal microbes convert tryptophan into various bioactive metabolites that influence host energy metabolism; however, these mechanisms are not well understood in periparturient dairy cows, which experience marked metabolic challenges during this period. RESULTS: In this study, we used periparturient dairy cows with rumen and ileal cannulas as in vivo models. Blood, rumen fluid, ileal digesta, and fecal samples were collected at four time points during the periparturient period. By combining metagenome-assembled genomes (MAGs) and targeted metabolite quantification, we characterized microbial tryptophan metabolism and associated metabolite profiles during the periparturient period. The results showed that postpartum cows exhibited significantly increased serum concentrations of triglyceride (TG), aspartate aminotransferase (AST), β-hydroxybutyrate (BHBA), and total bilirubin (T-Bil) compared with prepartum cows, together with decreased levels of several tryptophan metabolites, including indole-3-propionic acid (IPA) and kynurenine (KYN), indicating that tryptophan deficiency might aggravate metabolic disturbances. Metagenomic analysis identified 578 high-quality MAGs, of which 461 contained genes involved in microbial tryptophan metabolic pathways. Among these, the ruminal taxon CAG-791 harbors acdA and contributes to IPA production, whereas the hindgut taxon Treponema_D harbors kynB and promotes KYN formation. Decreases in both taxa were consistent with the reduced levels of these metabolites observed above. In a follow-up in vivo trial with tryptophan supplementation, the abundance of CAG-791 and Treponema_D increased, along with tryptophan-derived metabolites (IPA and KYN), which further partially mitigated metabolic disturbances. CONCLUSIONS: These findings characterize spatial and temporal changes in tryptophan metabolites and gut microbial features in periparturient dairy cows, and provide integrated evidence that alterations in tryptophan metabolism are associated with postpartum metabolic adaptation, thereby supporting the potential of tryptophan-targeted nutritional strategies to improve metabolic health in dairy cows.

Gastrointestinal microbiome↗

PubMed2002

Comparative genome sequencing for discovery of novel polymorphisms in Bacillus anthracis.

Comparison of the whole-genome sequence of Bacillus anthracis isolated from a victim of a recent bioterrorist anthrax attack with a reference reveals 60 new markers that include single nucleotide polymorphisms (SNPs), inserted or deleted sequences, and tandem repeats. Genome comparison detected four high-quality SNPs between the two sequenced B. anthracis chromosomes and seven differences among different preparations of the reference genome. These markers have been tested on a collection of anthrax isolates and were found to divide these samples into distinct families. These results demonstrate that genome-based analysis of microbial pathogens will provide a powerful new tool for investigation of infectious disease outbreaks.

Animals↗

PubMed2005

Invasion processes of pathogenic Escherichia coli.

Pathogenic Escherichia coli causes extraintestinal infections such as urinary tract infection and meningitis, which are prevalent and associated with considerable morbidity. Previous investigations have identified common strategies evolved by pathogenic E. coli to exploit host cell function and cause extraintestinal infections, which include the invasion into non-phagocytic eukaryotic cells such as epithelial and endothelial cells and associated host cell actin cytoskeletal rearrangements. However, the mechanisms involved in pathogenic E. coli invasion of eukaryotic cells are shown to differ depending upon types of host tissues and microbial determinants. In this mini-review, invasion processes of pathogenic E. coli are discussed using E. coli K1 invasion of human brain microvascular endothelial cells (HBMEC) as a paradigm. E. coli K1 is the most common Gram-negative organism causing neonatal meningitis, and E. coli invasion of HBMEC is shown to be a prerequisite for E. coli traversal of the blood-brain barrier in vivo. Previous studies have demonstrated that E. coli translocation of the blood-brain barrier is the result of specific E. coli host interactions including specific signal transduction pathways and modulation of endocytic pathways. Recent studies using functional genomics have identified additional microbial determinants contributing to E. coli K1 invasion of HBMEC. Complete understanding of microbial-host interactions that are involved in E. coli K1 invasion of HBMEC should help in the development of new strategies to prevent E. coli meningitis.

Animals↗

PubMed2026

Microbial and functional shifts between flare and remission in a single-center cohort of children with inflammatory bowel disease.

BACKGROUND: Gut microbial dysbiosis is central to the pathogenesis of inflammatory bowel disease (IBD). While gut microbiome differences between patients with and without IBD are well established, microbiome changes associated with disease activity and remission remain limited, particularly in paediatric populations. AIM: To examine intra-individual taxonomic and functional gut microbiome changes during transition from active flare to remission under maintenance immunosuppression in a pilot single-center Singapore cohort of children with IBD. METHODS: Paired stool samples and clinical data were collected from seven patients with paediatric IBD [5 Crohn's disease (CD), 2 ulcerative colitis; ≤ 18 years] during active disease/flare (visit 1; Pediatric CD Activity Index/Pediatric Ulcerative Colitis Activity Index ≥ 10) and subsequent clinical remission (visit 2; Pediatric CD Activity Index/Pediatric Ulcerative Colitis Activity Index < 10). Samples underwent shotgun metagenomic sequencing for high-resolution taxonomic profiling and functional annotation of Kyoto Encyclopaedia of Genes and Genomes pathways. RESULTS: Gut microbial diversity was reduced during flare compared to remission, with Actinobacteria abundance significantly higher in remission. Two distinct microbial clusters differentiated flare and remission states: The remission cluster was enriched with Bifidobacterium adolescentis, Bifidobacterium dentium, Lactobacillus gasseri, Faecalibacterium prausnitzii, while the flare state showed increased Klebsiella pneumoniae. Remission was further characterized by a downregulation of pathogenic microbes and an upregulation of beneficial microbes including a higher abundance of the butyrate producer Anaerostipes hadrus (P = 0.046). Microbial functional genes enriched in remission were predominantly associated with metabolic pathways including vitamin and cofactor biosynthesis, as well as carbohydrate, amino acid, and lipid metabolism. CONCLUSION: The transition from flare to remission in Singaporean children with IBD is characterized by functional remodeling of the gut microbiome, which may contribute to recovery processes related to intestinal barrier integrity, cellular maintenance, and tissue repair. Targeted modulation of the gut microbiome may help sustain remission in paediatric IBD.

Functional shift↗

PubMed2005

Application of metabolome data in functional genomics: a conceptual strategy.

A gene with yet unknown physiological function can be studied by changing its expression level followed by analysis of the resulting phenotype. This type of functional genomics study can be complicated by the occurrence of 'silent mutations', the phenotypes of which are not easily observable in terms of metabolic fluxes (e.g., the growth rate). Nevertheless, genetic alteration may give rise to significant yet complicated changes in the metabolome. We propose here a conceptual functional genomics strategy based on microbial metabolome data, which identifies changes in in vivo enzyme activities in the mutants. These predicted changes are used to formulate hypotheses to infer unknown gene functions. The required metabolome data can be obtained solely from high-throughput mass spectrometry analysis, which provides the following in vivo information: (1) the metabolite concentrations in the reference and the mutant strain; (2) the metabolic fluxes in both strains and (3) the enzyme kinetic parameters of the reference strain. We demonstrate in silico that changes in enzyme activities can be accurately predicted by this approach, even in 'silent mutants'.

Genome, Fungal↗

PubMed2003

Targeting metabolic pathways in microbial pathogens: oxidative stress and anti-folate drug resistance in trypanosomatids.

The large quantity of genomic, biochemical and metabolic data on microbial pathogens provides information that helps us to select biological problems of interest and to identify targets, metabolic pathways or constituent enzymes, for therapeutic intervention. One area of potential use in developing novel anti-parasitic agents concerns the regulation of oxidative stress, and we have targeted the trypanothione peroxidase pathway in this respect. In order to characterize this pathway, we have determined crystal structures for each of its components, and are now studying enzyme-ligand complexes of the first enzyme, trypanothione reductase. Also with regard to trypanosomatids, a question that arose was: why do anti-folates not provide useful therapies? The enzyme pteridine reductase has been shown to contribute to anti-folate drug resistance, and we have determined the enzyme structure and mechanism to understand this aspect of drug resistance.

Animals↗

PubMed2002

Lateral gene transfers and the evolution of eukaryotes: theories and data.

Vertical transmission of heritable material, a cornerstone of the Darwinian theory of evolution, is inadequate to describe the evolution of eukaryotes, particularly microbial eukaryotes. This is because eukaryotic cells and eukaryotic genomes are chimeric, having evolved through a combination of vertical (parent to offspring) and lateral (trans-species) transmission. Observations on widespread chimerism in eukaryotes have led to new and revised hypothesis for the origin and diversification of eukaryotes that provide specific predictions on the tempo (early vs continuous transfers) and mode (nature of donor and recipient lineages) of lateral gene transfers (LGTs). Analyses of available data indicate that LGTs in eukaryotes largely fall into two categories: (1) LGTs from organelles to the nucleus, only a few of which appear to have occurred at the time of the origin of eukaryotes, and (2) anomalous LGTs involving diverse donor and recipient lineages. Further testing of hypotheses on the origin and diversification of eukaryotes will require complete genome sequences from a number of diverse eukaryotes and prokaryotes combined with sequences of targeted genes from a broad phylogenetic sample.

Animals↗

PubMed2026

Metagenomic profiling of gut microbiome in post-cholecystectomy patients with diarrhea: a nested case-control study.

BACKGROUND: Cholecystectomy can cause diarrhea, with an incidence as high as 57.2%, seriously impacting patient prognosis. To investigate the gut dysbiosis following cholecystectomy and identify microbial biomarkers and functional genomics associated with post-cholecystectomy diarrhea (PCD), we conducted a nested case-control study within a prospective cohort. METHODS: We enrolled a cohort of 160 patients. At follow-up completion, 30 patients who developed PCD were matched with 30 non-PCD (NPCD) controls. 16 S rRNA sequencing was used to analyze gut microbiota structure and diversity (mainly at genus level). Representative fecal samples underwent metagenomic sequencing for species level and genetic differential analysis. RESULTS: The potentially pathogenic bacterial species Coprococcus comes and Blautia sp. were significantly enriched in the gut microbiota of PCD patients, with their abundance positively correlated with the degree of intestinal inflammation. In contrast, the potentially beneficial bacterial species Bacteroides intestinalis and Prevotella copri, known to contribute to lipid metabolism and play a role in modulating gut immunity and suppressing inflammatory responses, were found to be significantly depleted in PCD patients. Further metagenomic functional analysis revealed significant enrichment of pathways related to cell motility, membrane transport, and sulfur metabolism in PCD patients. CONCLUSIONS: This work identified potential beneficial and pathogenic bacterial species associated with the onset of PCD, as well as significantly enriched functional pathways within the intestinal microbiota. These findings provide a scientific basis for elucidating the relationship between PCD and gut microbiota, and provide candidate microbial signatures and functional pathways that may inform future microbiota-targeted strategies, pending external and mechanistic validation.

Humans↗

PubMed2006

Determining the antibiotic resistance potential of the indigenous oral microbiota of humans using a metagenomic approach.

Studies of the prevalence and identity of genes encoding resistance to antibiotics in a microbial community are usually carried out on only the cultivable members of the community. However, it is possible to include the as-yet-uncultivable organisms present by adopting a metagenomic approach to such studies. In this investigation, four metagenomic libraries of the oral microbiota were prepared from three groups of 20 adult humans and screened for antibiotic-resistant clones. Clones resistant to tetracycline and amoxycillin were present in all four libraries while gentamicin-resistant clones were found in three of the libraries. The genes encoding tetracycline resistance in the clones were identified and found to be tet(M), tet(O), tet(Q), tet(W), tet37 and tet(A). However, only the first three of these were detected in all three groups of individuals investigated.

Bacteria↗

PubMed2000

Aerotolerance and peroxide resistance in peroxidase and PerR mutants of Streptococcus pyogenes.

Survival in aerobic conditions is critical to the pathogenicity of many bacteria. To investigate the means of aerotolerance and resistance to oxidative stress in the catalase-negative organism Streptococcus pyogenes, we used a genomics-based approach to identify and inactivate homologues of two peroxidase genes, encoding alkyl hydroperoxidase (ahpC) and glutathione peroxidase (gpoA). Single and double mutants survived as well as the wild type under aerobic conditions. However, they were more susceptible than the wild type to growth suppression by paraquat and cumene hydroperoxide. In addition, we show that S. pyogenes demonstrates an inducible peroxide resistance response when treated with sublethal doses of peroxide. This resistance response was intact in ahpC and gpoA mutants but not in mutants lacking PerR, a repressor of several genes including ahpC and catalase (katA) in Bacillus subtilis. Because our data indicate that these peroxidase genes are not essential for aerotolerance or induced resistance to peroxide stress in S. pyogenes, genes for a novel mechanism of managing peroxide stress may be regulated by PerR in streptococci.

Aerobiosis↗

PubMed2026

Carbon metabolic homogenization is linked to microbial competition and antimicrobial resistance in soils under forest-to-cropland conversion.

Global agricultural expansion by converting natural forests into croplands often leads to soil functional homogenization and antimicrobial resistance enhancement, threatening ecosystem services. However, the associations between microbial carbon metabolic homogenization and antimicrobial resistance remain largely unknown. Here, we collected 240 paired forest and cropland soil samples from the most intensively farmed Yangtze River Basin in China, and constructed a novel framework based on microbial functional traits to decipher the role of carbon metabolic homogenization on antimicrobial resistance via microbial competition for metabolites. Using genome-scale metabolic models, we found that carbon metabolic homogenization was associated with a shift in microbial interactions from cooperation toward competition, with a 45.6% increase in competitive interactions that coincided with a 35.6% higher antimicrobial resistance gene (ARG) diversity. This shift was accompanied by smaller genome sizes and higher 16S rRNA copy numbers, indicating fast-growing, resource-acquisitive microbial strategies. Metabolic transfer analyses further revealed less cooperation relationships among microbial communities in cropland soils than in forest soils, indicating an intensified battle for communal metabolites and an attenuated exchange for complementary metabolites. Together, these findings provide a new framework to understand the association between carbon metabolic homogenization and soil antimicrobial resistance risks from the perspective of microbial traits and interactions under land use change.

Soil Microbiology↗

PubMed2001

The meaning and impact of the human genome sequence for microbiology.

The characterization of life is immeasurably enhanced by determination of complete genome sequences. For organisms that engage in intimate interactions with others, the genome sequence from one participant, and associated tools, provide unique insight into its partner. We discuss how the human genome sequence will further our understanding of microbial pathogens and commensals, and vice versa. We also propose criteria for implicating a host gene in microbial pathogenesis, and urge consideration of a'second human genome project'.

Bacteria↗