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PubMed2001

Chlamydia outer membrane protein discovery using genomics.

Outer membrane proteins of microbial pathogens serve essential roles in engaging the host environment and can be important immunotherapeutic targets. Because of the difficulty of growing large quantities of chlamydiae suitable for biochemical fractionation, little was known about their outer membrane protein composition prior to the recent sequencing of the C. trachomatis and C. pneumoniae genomes. Using bioinformatic approaches to characterize chlamydial open reading frames, novel outer membrane proteins were predicted. Several of the predicted outer membrane proteins recently have been shown to be translated and localized to the surface of the chlamydial outer membrane.

Bacterial Outer Membrane Proteins↗

PubMed2000

Assessing evolutionary relationships among microbes from whole-genome analysis.

The determination and analysis of complete genome sequences have recently enabled many major advances to be made in the area of microbial evolutionary biology. These include the determination of the first genome of a Crenarchaeota, the suggestion that horizontal gene transfer may be the rule rather than the exception, and revelations about how genomes evolve on short timescales.

Archaea↗

PubMed2026

Host life-history strategy is a critical determinant of virulent phage infection propensity.

Bacteriophages shape microbial communities through two major lifestyles: virulent (obligately lytic) and temperate (capable of lysogeny). Prevailing phage ecology frameworks focus on how environmental conditions, host density, and physiological state modulate infection modality. This perspective overlooks how host traits exert selective pressure on the distribution of virulent and temperate lifestyles across bacterial species, which limits understanding of phage ecology. To address this critical knowledge gap, we adopt a host-centric, trait-based perspective and use 5821 complete bacterial genomes to build a host life-history space predominantly defined by genome size, metabolic capacity, and growth rate potential. After mapping phage lifestyle association signals, prophage burden formed a continuous gradient across this space. Also, virulent phage association was positively correlated with prophage burden, revealing a nested structure of lifestyle signals. Functional trait analysis identified enrichment of resource-acquisition modules underlying both temperate and virulent associations. Overall, these findings indicate that phage lifestyle is significantly influenced by host life-history strategies, highlighting fast-growing, metabolically versatile hosts as favorable targets for virulent phage isolation and biocontrol applications.

Bacteriophages↗

PubMed2001

A phylogenomic approach to microbial evolution.

To study the origin and evolution of biochemical pathways in microorganisms, we have developed methods and software for automatic, large-scale reconstructions of phylogenetic relationships. We define the complete set of phylogenetic trees derived from the proteome of an organism as the phylome and introduce the term phylogenetic connection as a concept that describes the relative relationships between taxa in a tree. A query system has been incorporated into the system so as to allow searches for defined categories of trees within the phylome. As a complement, we have developed the pyphy system for visualising the results of complex queries on phylogenetic connections, genomic locations and functional assignments in a graphical format. Our phylogenomics approach, which links phylogenetic information to the flow of biochemical pathways within and among microbial species, has been used to examine more than 8000 phylogenetic trees from seven microbial genomes. The results have revealed a rich web of phylogenetic connections. However, the separation of Bacteria and Archaea into two separate domains remains robust.

Computational Biology↗

PubMed1999

Prokaryotic Genome Size and SSU rDNA Copy Number: Estimation of Microbial Relative Abundance from a Mixed Population.

> Abstract Determination of the relative abundance of a specific prokaryote in an environmental sample is of major interest in applied and environmental microbiology. Relative abundance can be calculated using knowledge of SSU rDNA copy number, amount of SSU rDNA in the sample, and a weighted average estimate of the genome sizes for organisms in the original sample. By surveying the literature, we provide estimates of genome size and SSU rDNA copy number for 303 and 101 prokaryotes, respectively. This compilation can be used to make reasonable estimates for a wide range of organisms in the calculation of relative abundance. A statistical analysis suggests that no correlation exists between genome size and SSU rDNA copy number. A phylogenetic analysis is used to offer insights into the evolution of both genome size and SSU rDNA copy number.http://link.springer-ny.com/link/service/journals/00248/bibs/38n2p93.html

Journal Article↗

PubMed1999

The genome of Rickettsia prowazekii and some thoughts on the origin of mitochondria and hydrogenosomes.

The sequence of an alpha-proteobacterial genome, that of Rickettsia prowazekii, is a substantial advance in microbial and evolutionary biology. The genome of this obligately aerobic intracellular parasite is small and is apparently still undergoing reduction, reflecting gene losses attributable to its intracellular parasitic lifestyle. Evolutionary analyses of proteins encoded in the genome contain the strongest phylogenetic evidence to date for the view that mitochondria descend from alpha-proteobacteria. Although both Rickettsia and mitochondrial genomes are highly reduced, it appears that genome reduction in these lineages has occurred independently. Rickettsia's genome encodes an ATP-generating machinery that is strikingly similar to that of aerobic mitochondria. But it does not encode homologues for the ATP-producing pathways of anaerobic mitochondria or hydrogenosomes, leaving an important issue regarding the origin and nature of the ancestral mitochondrial symbiont unresolved.

Animals↗

PubMed2026

Genomics for precision surgical source control in anti-microbial resistant infections: A global review with focus on resource-limited settings.

BACKGROUND & OBJECTIVE: Antimicrobial resistance (AMR) critically threatens surgical safety, impairing perioperative prophylaxis and complicating infection management. Timely surgical source control is essential but relies on accurate microbiological diagnosis. Conventional culture-based methods are slow and insensitive, often leading to empirical broad-spectrum therapy. This review evaluates the role of advanced genomic diagnostics in enhancing surgical source control for AMR infections, with a focus on challenges and opportunities in low- and middle-income countries (LMICs) like Pakistan. METHODOLOGY: A narrative review was conducted via a structured search of PubMed, Google Scholar, and ScienceDirect (January 2015-October 2025). Studies involving genomic tools in the management of AMR-related surgical infections were included. Evidence was synthesized thematically, covering genomic platforms, clinical applications, implementation barriers, and LMIC specific perspectives. RESULTS: Genomic tools, particularly metagenomic next-generation sequencing (mNGS) and rapid multiplex PCR, demonstrate superior sensitivity (80.6-95.45%) and faster turnaround times (e.g., roughly 27 hours for mNGS) compared to culture. They improve pathogen detection in complex infections (e.g., prosthetic joints, necrotizing soft tissue), guide targeted antibiotic therapy, and can reduce broad-spectrum use. However, major implementation barriers exist, including high costs, need for specialized infrastructure and expertise, bioinformatic challenges, and ethical data concerns, which are especially pronounced in LMICs. CONCLUSION: Genomic diagnostics offer a powerful approach to accelerate and refine surgical source control in the era of AMR. Strategic investments in local capacity, affordable platforms, and integration with antimicrobial stewardship are needed to realize their potential for improving surgical outcomes, particularly in resource-limited settings.

Antimicrobial resistance↗

PubMed2005

Cultivating the uncultivated: a community genomics perspective.

Current isolation methods access only a small subset of the total microbial diversity. Although an isolate traditionally has been required for genomic characterization, the advent of sequencing of entire natural microbial communities enables culture-independent genomic analysis. Information about the genetic potential of uncultivated organisms can be used to predict the form of metabolic interdependencies and nutritional requirements. We believe that this could provide the information necessary to bypass bottlenecks that have inhibited cultivation of many microorganisms. However, it might not be practical or possible to isolate all of the vast number of microbial species and strains for laboratory-based characterization. Ultimately, cultivation-independent genomic and genomically enabled approaches could provide a way to directly analyze microbial activity in its geochemical and ecological context.

Bacteria↗

PubMed2005

Metagenomics-based drug discovery and marine microbial diversity.

As the global threat of drug-resistant pathogens continues to rise, new strategies and resources are required to accelerate and advance the drug discovery process. We believe that rapid progress in metagenomics has opened up a new era in the study of marine microbial diversity that enables direct access to the genomes of numerous uncultivable microorganisms. This review outlines recent developments and future trends in metagenomics-based drug discovery in marine microbial communities and their associated chemical prosperity.

Chromosome Mapping↗

PubMed2006

Lineages of acidophilic archaea revealed by community genomic analysis.

Novel, low-abundance microbial species can be easily overlooked in standard polymerase chain reaction (PCR)-based surveys. We used community genomic data obtained without PCR or cultivation to reconstruct DNA fragments bearing unusual 16S ribosomal RNA (rRNA) and protein-coding genes from organisms belonging to novel archaeal lineages. The organisms are minor components of all biofilms growing in pH 0.5 to 1.5 solutions within the Richmond Mine, California. Probes specific for 16S rRNA showed that the fraction less than 0.45 micrometers in diameter is dominated by these organisms. Transmission electron microscope images revealed that the cells are pleomorphic with unusual folded membrane protrusions and have apparent volumes of <0.006 cubic micrometer.

Amino Acid Sequence↗

PubMed2026

MetaFX: feature extraction from whole-genome metagenomic sequencing data.

MOTIVATION: Microbial communities consist of thousands of microorganisms and viruses and have a tight connection with an environment, such as gut microbiota modulation of host body metabolism. However, the direct relationship between the presence of certain microorganism and the host state often remains unknown. Toolkits using reference-based approaches are limited to microbes present in databases. Reference-free methods often require enormous resources for metagenomic assembly or results in many poorly interpretable features based on k-mers. RESULTS: Here we present MetaFX-an open-source library for feature extraction from whole-genome metagenomic sequencing data and classification of groups of samples. Using a large volume of metagenomic samples deposited in databases, MetaFX compares samples grouped by metadata criteria (e.g. disease, treatment, etc.) and constructs genomic features distinct for certain types of communities. Features constructed based on statistical k-mer analysis and de Bruijn graphs partition. Those features are used in machine learning models for classification of novel samples. Extracted features can be visualized on de Bruijn graphs and annotated for providing biological insights. We demonstrate the utility of MetaFX by building classification models for 590 human gut samples with inflammatory bowel disease. Our results outperform the previous research disease prediction accuracy up to 17%, and improves classification results compared to taxonomic analysis by 9±10% on average. AVAILABILITY AND IMPLEMENTATION: MetaFX is a feature extraction toolkit applicable for metagenomic datasets analysis and samples classification. The source code, test data, and relevant information for MetaFX are freely accessible at https://github.com/ctlab/metafx under the MIT License. Alternatively, MetaFX can be obtained via http://doi.org/10.5281/zenodo.16949369.

Metagenomics↗

PubMed2026

Whole-Genome Analysis of Multidrug-Resistant Escherichia coli from Bloodstream Infections in Iraqi Cancer Patients.

BACKGROUND: In Iraq, oncology patients with bloodstream infections face escalating treatment challenges due to rising antimicrobial resistance in Escherichia coli, compounded by limited diagnostic capacity and restricted therapeutic options. However, data from oncology settings in Iraq are limited. This study aimed to characterize and compare the antimicrobial resistance gene profiles of multidrug-resistant and antibiotic-sensitive E. coli isolates from cancer patients, to inform infection control and stewardship strategies. METHODS: A prospective, multicenter investigation was conducted in three oncology hospitals in Baghdad. Fifty-five Escherichia coli bloodstream isolates, 36 multidrug-resistant (MDR) (65.5%) and 19 antibiotic-sensitive (34.5%), underwent phenotypic susceptibility testing using VITEK® 2 and disk diffusion. Whole-genome sequencing (Illumina MiSeq) was performed, and antimicrobial resistance genes (ARGs) were identified using AMRFinderPlus and classified by functional category. RESULTS: MDR isolates showed a broad resistome dominated by efflux systems. Across all isolates, a total of 36 unique antimicrobial resistance genes were identified, underscoring substantial resistome diversity., efflux pump genes were detected in 100%, β-lactamase genes in 88.9%, macrolide resistance genes in 66.7%, tetracycline resistance genes in 55.6%, and aminoglycoside resistance genes in 41.7%. Representative determinants included AcrAB-TolC/EmrAB-TolC/MdtABC-TolC (efflux) and BlaEC family/CMY-42/TEM types (β-lactams). Among sensitive isolates, only 11 antibiotic-associated genes, mainly efflux or regulators (e.g., acrF, emrD, emrR, emrY, tolC; regulators marR, evgA; target parC; others baeS, cpxA, cysB), overlapped with MDR, suggesting a shared core that is insufficient alone for phenotypic resistance without additional high-level mechanisms. CONCLUSIONS: Multidrug-resistant E. coli from oncology patients harbor dense, efflux-driven resistomes supplemented by diverse β-lactamases and other resistance determinants, while sensitive isolates retain a limited core set of genes. Genomic surveillance in cancer centers is critical for anticipating resistance emergence and informing targeted antimicrobial strategies.

Humans↗

PubMed2004

Genome sequence of Symbiobacterium thermophilum, an uncultivable bacterium that depends on microbial commensalism.

Symbiobacterium thermophilum is an uncultivable bacterium isolated from compost that depends on microbial commensalism. The 16S ribosomal DNA-based phylogeny suggests that this bacterium belongs to an unknown taxon in the Gram-positive bacterial cluster. Here, we describe the 3.57 Mb genome sequence of S.thermophilum. The genome consists of 3338 protein-coding sequences, out of which 2082 have functional assignments. Despite the high G + C content (68.7%), the genome is closest to that of Firmicutes, a phylum consisting of low G + C Gram-positive bacteria. This provides evidence for the presence of an undefined category in the Gram-positive bacterial group. The presence of both spo and related genes and microscopic observation indicate that S.thermophilum is the first high G + C organism that forms endospores. The S.thermophilum genome is also characterized by the widespread insertion of class C group II introns, which are oriented in the same direction as chromosomal replication. The genome has many membrane transporters, a number of which are involved in the uptake of peptides and amino acids. The genes involved in primary metabolism are largely identified, except those that code several biosynthetic enzymes and carbonic anhydrase. The organism also has a variety of respiratory systems including Nap nitrate reductase, which has been found only in Gram-negative bacteria. Overall, these features suggest that S.thermophilum is adaptable to and thus lives in various environments, such that its growth requirement could be a substance or a physiological condition that is generally available in the natural environment rather than a highly specific substance that is present only in a limited niche. The genomic information from S.thermophilum offers new insights into microbial diversity and evolutionary sciences, and provides a framework for characterizing the molecular basis underlying microbial commensalism.

Actinobacteria↗

PubMed2002

Role of active efflux in association with target gene mutations in fluoroquinolone resistance in clinical isolates of Vibrio cholerae.

Quinolones are among the drugs of choice in the management of cholera caused by Vibrio cholerae. In this study, we demonstrate that, in addition to mutations detected in the target genes gyrA and parC, proton motive force-dependent efflux is involved in quinolone resistance in clinical isolates of V. cholerae.

Anti-Infective Agents↗

PubMed2024

Spatiotemporal and genomic analysis of carbapenem resistance elements in Enterobacterales from hospital inpatients and natural water ecosystems of an Irish city.

Carbapenemase-producing Enterobacterales (CPE) is a diverse group of often multidrug-resistant organisms. Surveillance and control of infections are complicated due to the inter-species spread of carbapenemase-encoding genes (CEGs) on mobile genetic elements (MGEs), including plasmids and transposons. Due to wastewater discharges, urban water ecosystems represent a known reservoir of CPE. However, the dynamics of carbapenemase-bearing MGE dissemination between Enterobacterales in humans and environmental waters are poorly understood. We carried out whole-genome sequencing, combining short- and long-sequencing reads to enable complete characterization of CPE isolated from patients, wastewaters, and natural waters between 2018 and 2020 in Galway, Ireland. Isolates were selected based on their carriage of Class A blaKPC-2 (n = 6), Class B blaNDM-5 (n = 12), and Class D blaOXA-48 (n = 21) CEGs. CEGs were plasmid-borne in all but two isolates. OXA-48 dissemination was associated with a 64 kb IncL plasmid (62%), in a broad range of Enterobacterales isolates from both niches. Conversely, blaKPC-2 and blaNDM-5 genes were usually carried on larger and more variable multireplicon IncF plasmids in Klebsiella pneumoniae and Escherichia coli, respectively. In every isolate, each CEG was surrounded by a gene-specific common genetic environment which constituted part, or all, of a transposable element that was present in both plasmids and the bacterial chromosome. Transposons Tn1999 and Tn4401 were associated with blaOXA-48 and blaKPC-2, respectively, while blaNDM-5 was associated with variable IS26 bound composite transposons, usually containing a class 1 integron.IMPORTANCESince 2018, the Irish National Carbapenemase-Producing Enterobacterales (CPE) Reference Laboratory Service at University Hospital Galway has performed whole-genome sequencing on suspected and confirmed CPE from clinical specimens as well as patient and environmental screening isolates. Understanding the dynamics of CPE and carbapenemase-encoding gene encoding mobile genetic element (MGE) flux between human and environmental reservoirs is important for One Health surveillance of these priority organisms. We employed hybrid assembly approaches for improved resolution of CPE genomic surveillance, typing, and plasmid characterization. We analyzed a diverse collection of human (n = 17) and environmental isolates (n = 22) and found common MGE across multiple species and in different ecological niches. The conjugation ability and frequency of a subset of these plasmids were demonstrated to be affected by the presence or absence of necessary conjugation genes and by plasmid size. We characterize several MGE at play in the local dissemination of carbapenemase genes. This may facilitate their future detection in the clinical laboratory.

Humans↗

PubMed1999

Analysis of Arabidopsis genome sequence reveals a large new gene family in plants.

A detailed analysis of the currently available Arabidopsis thaliana genomic sequence has revealed the presence of a large number of open reading frames with homology to the stigmatic self-incompatibility (S) genes of Papaver rhoeas. The products of these potential genes are all predicted to be relatively small, basic, secreted proteins with similar predicted secondary structures. We have named these potential genes SPH (S-protein homologues). Their presence appears to have been largely missed by the prediction methods currently used on the genomic sequence. Equivalent homologues could not be detected in the human, microbial, Drosophila or C. elegans genomic databases, suggesting a function specific to plants. Preliminary RT-PCR analysis indicates that at least two members of the family (SPH1, SPH8) are expressed, with expression being greatest in floral tissues. The gene family may total more than 100 members, and its discovery not only illustrates the importance of the genome sequencing efforts, but also indicates the extent of information which remains hidden after the initial trawl for potential genes.

Arabidopsis↗

PubMed1995

Whole-genome random sequencing and assembly of Haemophilus influenzae Rd.

An approach for genome analysis based on sequencing and assembly of unselected pieces of DNA from the whole chromosome has been applied to obtain the complete nucleotide sequence (1,830,137 base pairs) of the genome from the bacterium Haemophilus influenzae Rd. This approach eliminates the need for initial mapping efforts and is therefore applicable to the vast array of microbial species for which genome maps are unavailable. The H. influenzae Rd genome sequence (Genome Sequence DataBase accession number L42023) represents the only complete genome sequence from a free-living organism.

Bacterial Proteins↗

PubMed1998

Use of 16S rDNA community fingerprints to study cricket hindgut microbial communities.

A nucleic acid-based method was evaluated in the course of a study of microbial community structure in the cricket hindgut. Genomic DNA was extracted from the hindgut microbial community of Acheta domesticus and used as a template in the polymerase chain reaction (PCR) method, using primers that align to well conserved regions of the 16S rRNA gene. The rDNA-PCR product was used as a community probe to generate restriction fragment length polymorphisms (RFLPs) of hindgut bacterial isolates and gut microbial communities of insects fed different diets. Fingerprints of the bacterial isolates consisted of several bands suggesting multiple rRNA operons. In contrast with soil communities, hindgut community RFLP contained distinguishable band patterns. However, community rDNA fingerprints were complex and varied among insects fed similar diets, suggesting considerable intrinsic variability in the hindgut microbial community structure between crickets regardless of dietary regime. These results suggest that community RFLP methods using broad-specific phylogenetic probes do not have the resolution or specificity required to ascertain the effect of diet on the cricket hindgut microbial community structure.

Journal Article↗