Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genome, Microbial”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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

At least 397 records · Page 22Linked to original sources
PubMed1999

Short sequence repeats in microbial pathogenesis and evolution.

Repetitive DNA is ubiquitous in microbial genomes. Different classes of short sequence repeats (SSRs) have been identified and demonstrated to be generally heterogeneous in a locus-dependent manner, reflected in variation in the number of repeat units present at a given genomic site or by sequence heterogeneity among individual units. Both types of variability can be used to assess intra-species genetic diversity. Repeat variability often affects the coding potential of the region in which the repetitive element is located. This implies that determination of the primary structure of variable numbers of tandem repeats can be used for epidemiological identification purposes, and also for the analysis of gene function. Precise assessment of SSR structure can also generate insight into the regulation of gene expression. Together, DNA repeat analysis in microbial species provides information on both functional and evolutionary aspects of genetic diversity among microbial isolates.

Candida albicans↗
PubMed2003

Genomic correlates of hyperthermostability, an update.

It has been shown (Cambillau, C., and Claverie, J. M. (2000) J. Biol. Chem. 275, 32383-32386) that a large difference between the proportions of charged versus polar (non-charged) amino acids (CvP-bias) was an adequate, if empirical, signature of the proteome of hyperthermophilic organisms (T(growth) >80 degrees C). Since that study, the number of available microbial genomes has more than doubled, raising the possibility that the simple CvP-bias rule might no longer hold. Taking advantage of the new sequence data, we re-analyzed the genomes of 9 fully sequenced thermophiles, 9 hyperthermophiles, and 53 mesothermophile microorganisms to identify the genomic correlates of hyperthermostability on a wider data set. Our new results confirm that the CvP-bias previously identified on a much smaller data set still holds. Moreover, we show that it is an optimal criterion, in the sense that it corresponds to the most discriminating factor between hyperthermophilic and mesothermophilic microorganisms in a principal component analysis. In parallel, we evaluated two other recently proposed correlates of hyperthermostability, the proteome average pI and the dinucleotide statistical index (Kawashima, T., Amano, N., Koike, H., Makino, S., Higuchi, S., Kawashima-Ohya, Y., Watanabe, K., Yamazaki, M., Kanehori, K., Kawamoto, T., Nunoshiba, T., Yamamoto, Y., Aramaki, H., Makino, K., and Suzuki, M. (2000) Proc. Natl. Acad. Sci. 97, 14257-14262). We show that the CvP-bias is the sole criterion that is able to clearly discriminate hyperthermophile from mesothermophile microorganisms on a global genomic basis.

Adaptation, Physiological↗
PubMed2002

Denitrifying genes in bacterial and Archaeal genomes.

Denitrification, the reduction of nitrate or nitrite to nitrous oxide or dinitrogen, is the major mechanism by which fixed nitrogen returns to the atmosphere from soil and water. Although the denitrifying ability has been found in microorganisms belonging to numerous groups of bacteria and Archaea, the genes encoding the denitrifying reductases have been studied in only few species. Recent investigations have led to the identification of new classes of denitrifying reductases, indicating a more complex genetic basis of this process than previously recognized. The increasing number of genome sequencing projects has opened a new way to study the genetics of the denitrifying process in bacteria and Archaea. In this review, we summarized the current knowledge on denitrifying genes and compared their genetic organizations by using new sequences resulting from the analysis of finished and unfinished microbial genomes with a special attention paid to the clustering of genes encoding different classes of reductases. In addition, some evolutionary relationships between the structural genes are presented.

Genes, Archaeal↗
PubMed2001

Antibiotic resistance with particular reference to soil microorganisms.

Evidence of increasing resistance to antibiotics in soil and other natural isolates highlights the importance of horizontal transfer of resistance genes in facilitating gene flux in bacteria. Horizontal gene transfer in bacteria is favored by the presence of mobile genetic elements and by the organization of bacterial genomes into operons allowing for the cooperative transfer of genes with related functions. The selective pressure for the spread of resistance genes correlates strongly with the clinical and agricultural overuse of antibiotics. The future of antimicrobial chemotherapy may lie in developing new antimicrobials using information from comparative functional microbial genomics to find genetic targets for antimicrobials and also to understand gene expression enabling selective targeting of genes with expression that correlates with the infectious process.

Anti-Bacterial Agents↗
PubMed2002

Exploring prokaryotic diversity in the genomic era.

Our understanding of prokaryote biology from study of pure cultures and genome sequencing has been limited by a pronounced sampling bias towards four bacterial phyla - Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes - out of 35 bacterial and 18 archaeal phylum-level lineages. This bias is beginning to be rectified by the use of phylogenetically directed isolation strategies and by directly accessing microbial genomes from environmental samples.

Actinobacteria↗
PubMed2005

The impact of bacterial genomics on natural product research.

"There's life in the old dog yet!" This adage also holds true for natural product research. After the era of natural products was declared to be over, because of the introduction of combinatorial synthesis techniques, natural product research has taken a surprising turn back towards a major field of pharmaceutical research. Current challenges, such as emerging multidrug-resistant bacteria, might be overcome by developments which combine genomic knowledge with applied biology and chemistry to identify, produce, and alter the structure of new lead compounds. Significant biological activity is reported much less frequently for synthetic compounds, a fact reflected in the large proportion of natural products and their derivatives in clinical use. This Review describes the impact of microbial genomics on natural products research, in particularly the search for new lead structures and their optimization. The limitations of this research are also discussed, thus allowing a look into future developments.

Bacteria↗
PubMed2026

Microbiome Datahub: an open-access platform integrating environmental metadata, taxonomy, and functional annotation for comprehensive metagenome-assembled genome datasets.

BACKGROUND: Metagenome-assembled genomes (MAGs) provide crucial insights into the genomic diversity of uncultured microbes. However, MAG datasets deposited in public repositories such as INSDC are often difficult to reuse due to heterogeneous quality, inconsistent taxonomic and functional annotations, and insufficiently curated environmental metadata. While secondary MAG databases such as MGnify, IMG/M, and SPIRE provide standardized resources, they reconstruct MAGs de novo from public metagenomic reads and therefore do not represent the original MAGs reported in publications. RESULTS: To address this gap, we developed Microbiome Datahub, an open-access platform that systematically aggregates and re-annotates original MAGs from INSDC. We collected 214,427 MAGs, predicted genes by DFAST, performed quality assessment with CheckM, standardized taxonomic assignments with GTDB-Tk, inferred 27 phenotypic traits using Bac2Feature, assigned proteins to MBGD ortholog clusters and KEGG Orthology IDs using PZLAST, and annotated environmental metadata with the Metagenome and Microbes Environmental Ontology. Across these MAGs, the average completeness was 80.5% and contamination 1.8%; notably, the most frequent values were&#x2009;>95% completeness and&#x2009;<1% contamination, indicating that the majority of MAGs are of high quality. Comparative analyses showed that Microbiome Datahub provides phylogenetically and environmentally diverse MAGs: while the majority originated from vertebrate gut environments, a substantial number were also recovered from other habitats such as groundwater, including nearly 10,000 MAGs from the Patescibacteria. Inference of 27 phenotypic traits, including optimum growth temperature, further revealed ecological differentiation across phyla. Protein clustering revealed 56 million identity 40% clusters, with the majority unique compared with MGnify and GlobDB, and&#x2009;~19% of proteins unassigned to MBGD ortholog clusters, underscoring their novelty. CONCLUSIONS: Microbiome Datahub integrates MAG genome sequences, gene and protein predictions, quality metrics, environmental and taxonomic annotations, ortholog cluster assignments, and phenotype predictions, all accessible via a web interface, API, and bulk downloads. By combining original MAGs with curated metadata and functional annotations, Microbiome Datahub constitutes a comprehensive and reusable resource that will accelerate microbiome and microbial genomics research. Video Abstract.

Metagenome↗
PubMed2004

CBS Genome Atlas Database: a dynamic storage for bioinformatic results and sequence data.

UNLABELLED: Currently, new bacterial genomes are being published on a monthly basis. With the growing amount of genome sequence data, there is a demand for a flexible and easy-to-maintain structure for storing sequence data and results from bioinformatic analysis. More than 150 sequenced bacterial genomes are now available, and comparisons of properties for taxonomically similar organisms are not readily available to many biologists. In addition to the most basic information, such as AT content, chromosome length, tRNA count and rRNA count, a large number of more complex calculations are needed to perform detailed comparative genomics. DNA structural calculations like curvature and stacking energy, DNA compositions like base skews, oligo skews and repeats at the local and global level are just a few of the analysis that are presented on the CBS Genome Atlas Web page. Complex analysis, changing methods and frequent addition of new models are factors that require a dynamic database layout. Using basic tools like the GNU Make system, csh, Perl and MySQL, we have created a flexible database environment for storing and maintaining such results for a collection of complete microbial genomes. Currently, these results counts to more than 220 pieces of information. The backbone of this solution consists of a program package written in Perl, which enables administrators to synchronize and update the database content. The MySQL database has been connected to the CBS web-server via PHP4, to present a dynamic web content for users outside the center. This solution is tightly fitted to existing server infrastructure and the solutions proposed here can perhaps serve as a template for other research groups to solve database issues. AVAILABILITY: A web based user interface which is dynamically linked to the Genome Atlas Database can be accessed via www.cbs.dtu.dk/services/GenomeAtlas/. SUPPLEMENTARY INFORMATION: This paper has a supplemental information page which links to the examples presented: www.cbs.dtu.dk/services/GenomeAtlas/suppl/bioinfdatabase.

Algorithms↗
PubMed2006

Community genomics among stratified microbial assemblages in the ocean's interior.

Microbial life predominates in the ocean, yet little is known about its genomic variability, especially along the depth continuum. We report here genomic analyses of planktonic microbial communities in the North Pacific Subtropical Gyre, from the ocean's surface to near-sea floor depths. Sequence variation in microbial community genes reflected vertical zonation of taxonomic groups, functional gene repertoires, and metabolic potential. The distributional patterns of microbial genes suggested depth-variable community trends in carbon and energy metabolism, attachment and motility, gene mobility, and host-viral interactions. Comparative genomic analyses of stratified microbial communities have the potential to provide significant insight into higher-order community organization and dynamics.

Amino Acid Sequence↗
PubMed2026

Leveraging traveller genomics for LMIC diarrhoeal disease management.

Diarrhoeal pathogens impose a substantial global health burden, disproportionately affecting low- and middle-income countries (LMICs). However, in these settings, health-seeking behaviours, suboptimal microbiological capacity, and challenges in establishing genomics capacity constrain effective surveillance, including surveillance of antimicrobial resistance (AMR). In contrast, high-income countries routinely generate and share large volumes of diarrhoeal pathogen genomes through established systems, with a significant proportion originating from travellers returning from LMICs. These data reveal strong geographical structuring of lineages and clinically relevant AMR patterns, demonstrating untapped potential to support improvements in geographically granulated surveillance to support antimicrobial treatment recommendations. In this opinion article, we outline the potential to integrate traveller-derived microbial genomic data into LMIC public health decision-making and highlight the scientific, ethical, practical, and governance considerations for implementation.

antimicrobial resistance↗
PubMed2002

Molecular characterization of phosphoglycerate mutase in archaea.

The interconversion of 3-phosphoglycerate and 2-phosphoglycerate during glycolysis and gluconeogenesis is catalyzed by phosphoglycerate mutase (PGM). In bacteria and eukaryotes two structurally distinct enzymes have been found, a cofactor-dependent and a cofactor-independent (iPGM) type. Sequence analysis of archaeal genomes did not find PGMs of either kind, but identified a new family of proteins, distantly related to iPGMs. In this study, these predicted archaeal PGMs from Pyrococcus furiosus and Methanococcus jannaschii have been functionally produced in Escherichia coli, and characterization of the purified proteins has confirmed that they are iPGMs. Analysis of the available microbial genomes indicates that this new type of iPGM is widely distributed among archaea and also encoded in several bacteria. In addition, as has been demonstrated in certain bacteria, some archaea appear to possess an alternative, cofactor-dependent PGM.

Amino Acid Sequence↗
PubMed2004

A comparative genome analysis identifies distinct sorting pathways in gram-positive bacteria.

Surface proteins in gram-positive bacteria are frequently required for virulence, and many are attached to the cell wall by sortase enzymes. Bacteria frequently encode more than one sortase enzyme and an even larger number of potential sortase substrates that possess an LPXTG-type cell wall sorting signal. In order to elucidate the sorting pathways present in gram-positive bacteria, we performed a comparative analysis of 72 sequenced microbial genomes. We show that sortase enzymes can be partitioned into five distinct subfamilies based upon their primary sequences and that most of their substrates can be predicted by making a few conservative assumptions. Most bacteria encode sortases from two or more subfamilies, which are predicted to function nonredundantly in sorting proteins to the cell surface. Only approximately 20% of sortase-related proteins are most closely related to the well-characterized Staphylococcus aureus SrtA protein, but nonetheless, these proteins are responsible for anchoring the majority of surface proteins in gram-positive bacteria. In contrast, most sortase-like proteins are predicted to play a more specialized role, with each anchoring far fewer proteins that contain unusual sequence motifs. The functional sortase-substrate linkage predictions are available online (http://www.doe-mbi.ucla.edu/Services/Sortase/) in a searchable database.

Amino Acid Motifs↗
PubMedDate not supplied

Trinucleotide repeats and other microsatellites in yeasts.

Microsatellites are direct tandem DNA repeats found in all genomes. A particular class of microsatellites, called trinucleotide repeats, is responsible for a number of neurological disorders in humans. We review here our current state of knowledge on trinucleotide repeat instability, and discuss the molecular mechanisms that may be involved in trinucleotide repeat expansions leading to fatal diseases in humans. We also present original data on microsatellite distribution in several microbial genomes, and on the use of microsatellites as physical markers to accurately and easily genotype yeast strains.

Bacteria↗
PubMed2000

From fold to function predictions: an apoptosis regulator protein BID.

With the rapidly increasing pace of genome sequencing projects and the resulting flood of predicted amino acid sequences of uncharacterized proteins, protein sequence analysis, and in particular, protein structure prediction is quickly gaining in importance. Prediction algorithms can be used for preliminary annotation of newly sequenced proteins and, at least in some cases, provide insights into their function and specific mode of action. Such annotations for several microbial genomes were performed by several groups and placed in public domain for evaluation. An example presented in this work comes from a related project of structural and functional predictions for proteins involved in the process of controlled cell death (apoptosis). The BID protein belongs to an important class of regulators of apoptosis identified by short sequence motifs. Here, several fold prediction methods are used to build a series of three-dimensional models. Structure analysis of the models with reference to the biological data available allows selection of the most appropriate model. It is found that the most likely structural model of BID is built on the structure of Bcl-X(L). The model is discussed in terms of experimental data on specific proteolytic cleavage of BID and its effect on BID interactions with other proteins and membranes.

Algorithms↗
PubMed1999

Study on microbial persistence in end-stage idiopathic dilated cardiomyopathy.

Microbial persistence may be involved in the pathogenesis of idiopathic dilated cardiomyopathy (IDC). Therefore, we evaluated the role of various cardiopathogenic microorganisms in patients with end-stage IDC. In a previous study, we did not find evidence for the persistence of enterovirus RNA in end-stage IDC. In the present study, we looked for other microorganisms that are frequently associated with heart disease, including cytomegalovirus, hepatitis B virus, hepatitis C virus, Borrelia burgdorferi, Chlamydia species, mycoplasmata, and Toxoplasma gondii. Serology, polymerase chain reaction (PCR) analysis specific for detection of microbial genomic sequences, or both investigations were performed on myocardial samples from 37 patients with end-stage IDC. PCR analysis was performed on multiple myocardial samples per patient. Thirty-nine patients with end-stage heart disease of known cause were included as controls. On the basis of our serological data and PCR analyses, we did not find any evidence that microbial persistence in the heart is involved in the end-stage disease process of IDC.

Adolescent↗
PubMed2000

A brief history of genome research and bioinformatics in France.

The development of in silico genomics has progressed slowly in France for a number of political reasons. Two administrative organizations, the Groupement de Recherche sur les Génomes (GREG) and the Groupement de Recherche 1029 (GDR 1029) of the Centre National de la Recherche Scientifique (CNRS) have been established. These organizations have created the dynamics that hopefully will place France (which coordinated consortia that completed several of the first large microbial genomes) among the developed nations that support Large-Scale Biology.

Computational Biology↗
PubMed2006

Bacterial repetitive extragenic palindromic sequences are DNA targets for Insertion Sequence elements.

BACKGROUND: Mobile elements are involved in genomic rearrangements and virulence acquisition, and hence, are important elements in bacterial genome evolution. The insertion of some specific Insertion Sequences had been associated with repetitive extragenic palindromic (REP) elements. Considering that there are a sufficient number of available genomes with described REPs, and exploiting the advantage of the traceability of transposition events in genomes, we decided to exhaustively analyze the relationship between REP sequences and mobile elements. RESULTS: This global multigenome study highlights the importance of repetitive extragenic palindromic elements as target sequences for transposases. The study is based on the analysis of the DNA regions surrounding the 981 instances of Insertion Sequence elements with respect to the positioning of REP sequences in the 19 available annotated microbial genomes corresponding to species of bacteria with reported REP sequences. This analysis has allowed the detection of the specific insertion into REP sequences for ISPsy8 in Pseudomonas syringae DC3000, ISPa11 in P. aeruginosa PA01, ISPpu9 and ISPpu10 in P. putida KT2440, and ISRm22 and ISRm19 in Sinorhizobium meliloti 1021 genome. Preference for insertion in extragenic spaces with REP sequences has also been detected for ISPsy7 in P. syringae DC3000, ISRm5 in S. meliloti and ISNm1106 in Neisseria meningitidis MC58 and Z2491 genomes. Probably, the association with REP elements that we have detected analyzing genomes is only the tip of the iceberg, and this association could be even more frequent in natural isolates. CONCLUSION: Our findings characterize REP elements as hot spots for transposition and reinforce the relationship between REP sequences and genomic plasticity mediated by mobile elements. In addition, this study defines a subset of REP-recognizer transposases with high target selectivity that can be useful in the development of new tools for genome manipulation.

Bacteria↗
PubMed2026

Microbial decaprenoxanthin: From understanding an extremophile-derived C50 carotenoid to its bioprocessing for large-scale applications.

Decaprenoxanthin (DPXT) is an unusual bacterial C50 carotenoid that has historically received limited attention despite its well-defined structure. For decades, carotenoid research and industrial development have been dominated by C40 carotenoids, leaving longer-chain carotenoids largely overlooked. Recent discoveries, particularly from microorganisms inhabiting Antarctic and other extreme environments, have repositioned DPXT as an adaptive pigment shaped by intense environmental pressures. Its extended polyene chain and membrane-associated behavior suggest roles in membrane stabilization and protection against ultraviolet radiation and oxidative stress, features that may hold relevance for food and biotechnological applications. This review integrates historical and recent knowledge on DPXT, covering its structural characteristics, biosynthetic pathways, ecological function, and emerging technological relevance. Special attention is given to microbial sources, particularly Actinomycetota from extreme environments, and to recent advances in microbial genomics, metabolic engineering, and sustainable bioprocess development that enable the production and exploration of C50 carotenoids beyond their native extremophilic context. The analysis highlights DPXT as a representative example of stress-resilient carotenoids, with physicochemical and membrane-interacting properties that may offer advantages for future food and biotechnological systems. Although significant challenges remain in cultivation strategies, yield optimization, and downstream recovery, advances in microbial cell factories and green extraction technologies open new opportunities for valorizing C50 carotenoids. This review bridges extremophile microbiology, carotenoid biochemistry, and sustainable food innovation, positioning DPXT as an emerging molecule that may expand the functional and structural landscape of carotenoids relevant to food science.

Carotenoids↗