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Metagenome survey of biofilms in drinking-water networks.

Most naturally occurring biofilms contain a vast majority of microorganisms which have not yet been cultured, and therefore we have little information on the genetic information content of these communities. Therefore, we initiated work to characterize the complex metagenome of model drinking water biofilms grown on rubber-coated valves by employing three different strategies. First, a sequence analysis of 650 16S rRNA clones indicated a high diversity within the biofilm communities, with the majority of the microbes being closely related to the Proteobacteria: Only a small fraction of the 16S rRNA sequences were highly similar to rRNA sequences from Actinobacteria, low-G+C gram-positives and the Cytophaga-Flavobacterium-Bacteroides group. Our second strategy included a snapshot genome sequencing approach. Homology searches in public databases with 5,000 random sequence clones from a small insert library resulted in the identification of 2,200 putative protein-coding sequences, of which 1,026 could be classified into functional groups. Similarity analyses indicated that significant fractions of the genes and proteins identified were highly similar to known proteins observed in the genera Rhizobium, Pseudomonas, and Escherichia: Finally, we report 144 kb of DNA sequence information from four selected cosmid clones, of which two formed a 75-kb overlapping contig. The majority of the proteins identified by whole-cosmid sequencing probably originated from microbes closely related to the alpha-, beta-, and gamma-Proteobacteria: The sequence information was used to set up a database containing the phylogenetic and genomic information on this model microbial community. Concerning the potential health risk of the microbial community studied, no DNA or protein sequences directly linked to pathogenic traits were identified.

Bacteria↗

The next generation of microarray research: applications in evolutionary and ecological genomics.

Microarray technology is one of the key developments in recent years that has propelled biological research into the post-genomic era. With the ability to assay thousands to millions of features at the same time, microarray technology has fundamentally changed how biological questions are addressed, from examining one or a few genes to a collection of genes or the whole genome. This technology has much to offer in the study of genome evolution. After a brief introduction on the technology itself, we then focus on the use of microarrays to examine genome dynamics, to uncover novel functional elements in genomes, to unravel the evolution of regulatory networks, to identify genes important for behavioral and phenotypic plasticity, and to determine microbial community diversity in environmental samples. Although there are still practical issues in using microarrays, they will be alleviated by rapid advances in array technology and analysis methods, the availability of many genome sequences of closely related species and flexibility in array design. It is anticipated that the application of microarray technology will continue to better our understanding of evolution and ecology through the examination of individuals, populations, closely related species or whole microbial communities.

Ecology↗

Quantitative detection of Sphingomonas chlorophenolica in soil via competitive polymerase chain reaction.

The 16S ribosomal RNA gene sequence of the pentachlorophenol degrader Sphingomonas chlorophenolica strain RA2 was used to generate specific polymerase chain reaction (PCR) primers for the detection of this strain in soil, whereas a region internal to the two primers was used to provide an S. chlorophenolica strain RA2-specific oligonucleotide probe. The PCR detection system resulted in a 727 bp product detectable via gel electrophoresis and hybridization. It was specific for strain RA2 and its close relative, S. chlorophenolica ATCC 39723, as evidenced by PCR amplifications of a range of bacterial genomic DNAs. Tests of total microbial community DNA obtained from five uninoculated and two RA2-inoculated soils confirmed this specificity for introduced S. chlorophenolica RA2. Strain RA2 could be detected in soil down to a level of 10(3) cfu g-1 soil. Two strategies were followed to generate internal standard DNA for competitive PCR. First, a 479 bp MIMICS fragment was obtained based on a previously constructed gene cassette; however, this standard did not reliably quantify RA2 targets. Low stringency PCR performed with a range of bacterial genomic DNAs resulted in the generation of an amplicon with a Paenibacillus azotofixans strain that was slightly smaller than the RA2-derived product. Both products were easily separable via conventional gel electrophoresis. The use of this competitor in a threefold dilution scheme applied to the target DNA allowed for the quantitative detection of RA2-specific target DNA molecules from pure culture and from soil. The fate of strain RA2 in pentachlorophenol-contaminated soil was described using this competitive PCR approach, and the organism was shown to persist at two inoculum levels over prolonged periods of time.

DNA Primers↗

Development of rationally designed nucleic acid signatures for microbial pathogens.

The detection and identification of microbial pathogens are critical challenges in clinical medicine and public health surveillance. Advances in genome analysis technology are providing an unprecedented amount of information about bacterial and viral organisms, and hold great potential for pathogen detection and identification. In this paper, a rational approach to the development and application of nucleic acid signatures is described based on phylogenetically informative sequence features, especially single nucleotide polymorphisms. The computational tools that are available to enable the development of the next generation of microbial molecular signatures for clinical diagnostics and infectious disease surveillance are reviewed and the impact on public health and national security will be discussed.

Bacteria↗

Microbiology of nosocomial infections: progress and challenges.

Technological advances have expanded the role of the clinical microbiology laboratory in supporting management and control of health-care-associated infections (HAI). Diagnostic capabilities have been complemented by new methods for characterisation of microbial antigens and nucleic acids. Genomic "fingerprinting" enables the study of transmission of nosocomial pathogens. Monitoring of their antimicrobial resistance patterns has gained critical importance. However, cost-effective application of microbiological testing for improved treatment and prevention of HAI requires further study.

Antigens↗

How the social lives of bacteria affect their pangenome.

Although the study of microbes started with type strains and reference genomes, advances in sequencing technology and new interest in mixed microbial communities have made us aware that a single genome cannot and does not reflect the diversity of a given bacterial species. Bacteria rarely occupy an environmental or host niche alone and quickly diversify into strains upon colonization of a new niche. The genetic diversity present within a phylogenetically related set of bacterial strains (the 'pangenome') is influenced by the niche that they occupy and how they interact with the other microorganisms that they share that niche with. In this review, I examine how the social lives of bacteria can affect their genetic diversity and the bioinformatic techniques that we use to detect that diversity.

Bacteria↗

Mapler: a pipeline for assessing assembly quality in taxonomically rich metagenomes sequenced with HiFi reads.

SUMMARY: Metagenome assembly seeks to reconstruct the most high-quality genomes from sequencing data of microbial ecosystems. Despite technological advancements that facilitate assembly, such as Hi-Fi long reads, the process remains challenging in complex environmental samples consisting of hundreds to thousands of populations. Mapler is a metagenome assembly and evaluation pipeline with a focus on evaluating the quality of Hi-Fi long read metagenome assemblies. It incorporates several state-of-the-art metrics, as well as novel metrics assessing the diversity that remains uncaptured by the assembly process. Mapler facilitates the comparison of assembly strategies and helps identify methodological bottlenecks that hinder genome reconstruction. AVAILABILITY AND IMPLEMENTATION: Mapler is open source and publicly available under the AGPL-3.0 licence at https://github.com/Nimauric/Mapler. Source code is implemented in Python and Bash as a Snakemake pipeline. A snapshot of the code is available on Software Heritage at swh:1:snp:df4f5f02e22ebbab285ec14af58d4d88436ee5d6. Raw data and results are available at https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/2SA8AB.

Metagenome↗

The ecological significance of biofilm formation by plant-associated bacteria.

Bacteria associated with plants have been observed frequently to form assemblages referred to as aggregates, microcolonies, symplasmata, or biofilms on leaves and on root surfaces and within intercellular spaces of plant tissues. In a wide range of habitats, biofilms are purported to be microniches of conditions markedly different from those of the ambient environment and drive microbial cells to effect functions not possible alone or outside of biofilms. This review constructs a portrait of how biofilms associated with leaves, roots and within intercellular spaces influence the ecology of the bacteria they harbor and the relationship of bacteria with plants. We also consider how biofilms may enhance airborne dissemination, ubiquity and diversification of plant-associated bacteria and may influence strategies for biological control of plant disease and for assuring food safety. Trapped by a nexus, coordinates uncertain Ever expanding or contracting Cannibalistic and scavenging sorties Excavations through signs of past alliances Consensus signals sound revelry Then time warped by viscosity Genomes showing codependence A virtual microbial beach party With no curfew and no time-out A few estranged cells seeking exit options, Looking for another menagerie. David Sands, Montana State University, Bozeman, February 2003

Bacterial Physiological Phenomena↗

Genomic fingerprinting of antituberculosis agents-resistant Lactobacillus ruminus SPM0211 using the Microbial Uniprimer kit.

A Lactobacillus isolate was collected from the feces of a healthy Korean individual and named as Lactobacillus ruminus SPM0211. It was further characterized by subjecting it to an antibiotic resistance test and genetic analysis. In the antibiotic resistance test, all tested Lactobacillus spp. were classified as "high resistance" for multiple antibiotics, such as isoniazid, ethambutol, cycloserine, and vancomycin. L. ruminus SPM0211 was classified as "high resistance" for streptomycin also, while the other tested Lactobacillus spp. were classified as low resistance. This suggests that the antimicrobial spectra may be a good indicator in the discrimination of this strain among the tested Lactobacillus spp. In a polymerase chain reaction-random amplified polymorphic DNA (PCR-RAPD) analysis using the Microbial Uniprimer kit, L. ruminus SPM0211, and L. suebicus were clustered as a group with a 74.3% similarity level, suggesting that these two species are genetically related. Thus, our data suggest that the PCR-RADP method using the Microbial Uniprimer kit may be valuable in discriminating L. ruminus SPM0211 from other Lactobacillus spp.

Adult↗

Mutations and rearrangements in the genome of Sulfolobus solfataricus P2.

The genome of Sulfolobus solfataricus P2 carries a larger number of transposable elements than any other sequenced genome from an archaeon or bacterium and, as a consequence, may be particularly susceptible to rearrangement and change. In order to gain more insight into the natures and frequencies of different types of mutation and possible rearrangements that can occur in the genome, the pyrEF locus was examined for mutations that were isolated after selection with 5-fluoroorotic acid. About two-thirds of the 130 mutations resulted from insertions of mobile elements, including insertion sequence (IS) elements and a single nonautonomous mobile element, SM2. For each of these, the element was identified and shown to be present at its original genomic position, consistent with a progressive increase in the copy numbers of the mobile elements. In addition, several base pair substitutions, as well as small deletions, insertions, and a duplication, were observed, and about one-fifth of the mutations occurred elsewhere in the genome, possibly in an orotate transporter gene. One mutant exhibited a 5-kb genomic rearrangement at the pyrEF locus involving a two-step IS element-dependent reaction, and its boundaries were defined using a specially developed "in vitro library" strategy. Moreover, while searching for the donor mobile elements, evidence was found for two major changes that had occurred in the genome of strain P2, one constituting a single deletion of about 4% of the total genome (124 kb), while the other involved the inversion of a 25-kb region. Both were bordered by IS elements and were inferred to have arisen through recombination events. The results underline the caution required in working experimentally with an organism such as S. solfataricus with a continually changing genome.

Archaeal Proteins↗

Genome-scale analysis of Streptomyces coelicolor A3(2) metabolism.

Streptomyces are filamentous soil bacteria that produce more than half of the known microbial antibiotics. We present the first genome-scale metabolic model of a representative of this group--Streptomyces coelicolor A3(2). The metabolism reconstruction was based on annotated genes, physiological and biochemical information. The stoichiometric model includes 819 biochemical conversions and 152 transport reactions, accounting for a total of 971 reactions. Of the reactions in the network, 700 are unique, while the rest are iso-reactions. The network comprises 500 metabolites. A total of 711 open reading frames (ORFs) were included in the model, which corresponds to 13% of the ORFs with assigned function in the S. coelicolor A3(2) genome. In a comparative analysis with the Streptomyces avermitilis genome, we showed that the metabolic genes are highly conserved between these species and therefore the model is suitable for use with other Streptomycetes. Flux balance analysis was applied for studies of the reconstructed metabolic network and to assess its metabolic capabilities for growth and polyketides production. The model predictions of wild-type and mutants' growth on different carbon and nitrogen sources agreed with the experimental data in most cases. We estimated the impact of each reaction knockout on the growth of the in silico strain on 62 carbon sources and two nitrogen sources, thereby identifying the "core" of the essential reactions. We also illustrated how reconstruction of a metabolic network at the genome level can be used to fill gaps in genome annotation.

Bacterial Proteins↗

The University of Minnesota Biocatalysis/Biodegradation database: microorganisms, genomics and prediction.

The University of Minnesota Biocatalysis/Biodegradation Database (http://www.labmed.umn.edu/umbbd/ ) begins its fifth year having met its initial goals. It contains approximately 100 pathways for microbial catabolic metabolism of primarily xenobiotic organic compounds, including information on approximately 650 reactions, 600 compounds and 400 enzymes, and containing approximately 250 microorganism entries. It includes information on most known microbial catabolic reaction types and the organic functional groups they transform. Having reached its first goals, it is ready to move beyond them. It is poised to grow in many different ways, including mirror sites; fold prediction for its sequenced enzymes; closer ties to genome and microbial strain databases; and the prediction of biodegradation pathways for compounds it does not contain.

Biodegradation, Environmental↗

The Safety, Efficacy, and Feasibility of Fecal Microbiota Transplantation in a Population With Bipolar Disorder During Depressive Episodes: A Pilot Parallel Arm Randomized Controlled Trial: Sécurité, efficacité et faisabilité de la transplantation de microbiote fécal chez une population atteinte de troubles bipolaires, au cours d'épisodes dépressifs : essai pilote contrôlé à répartition aléatoire et à groupes parallèles.

BackgroundThe gut microbiome has been proposed as a potential modifiable target to treat mental illness. This double-blind randomized control trial investigated fecal microbiota transplant (FMT) in bipolar disorder (BD) to assess efficacy, safety, and feasibility. The primary outcome evaluated the effectiveness of standard approved therapy for BD depression + FMT in individuals not responding to standard treatment, measured by change in the Montgomery-Åsberg Depression Rating Scale (MADRS) score from baseline to week 24. Secondary outcomes included FMT's impact on anxiety, global function, side-effects, and safety. The feasibility of this novel intervention was also assessed. Microbial analysis utilized whole-genome shotgun metagenomic sequencing, comparing outcomes between allogenic (donor) and autologous (participants own) FMT.MethodsA total of 35 participants (28 women and 7 men) with at least moderate depressive-phase BD (MADRS) were randomized to receive either allogenic FMT (n = 17) or autologous FMT (n = 18) via colonoscopy and were followed for 24 weeks.ResultsMADRS scores significantly improved from baseline to the last visit in both treatment arms. There was no significant difference between allogenic FMT (16.74-point improvement) and autologous FMT (15.4-point improvement) regarding clinical efficacy (t = -0.47, p-value = .64, 95% confidence interval [CI] = -7.3-4.6). Microbiota analysis showed that allogenic FMT let to a bacterial profile similar to the healthy donor and increased bacterial diversity at the 6-month mark, whereas those receiving autologous FMT did not. The intervention was well tolerated with no significant adverse events. Recruitment, randomization, and retention metrics support feasibility of a larger trial.ConclusionFeasibility and tolerability data indicate further investigation into microbial manipulation in BD is warranted. The absence of efficacy differences between the two types of FMT, despite microbial change, highlights the importance of a true placebo in future studies, as well as the importance of understanding exactly what bacteria are linked to improvements. ClinicalTrials.gov, NCT0327922Plain Language Summary TitleResults of a Double-Blind Randomized Control Trial Investigating Fecal Microbiota Transplant (FMT) as an Add-on Treatment for Depression in Bipolar Disorder and Analyzing Microbial Diversity Changes Over 24 Weeks.

Humans↗

Proximal genomic localization of STAT1 binding and regulated transcriptional activity.

BACKGROUND: Signal transducer and activator of transcription (STAT) proteins are key regulators of gene expression in response to the interferon (IFN) family of anti-viral and anti-microbial cytokines. We have examined the genomic relationship between STAT1 binding and regulated transcription using multiple tiling microarray and chromatin immunoprecipitation microarray (ChIP-chip) experiments from public repositories. RESULTS: In response to IFN-gamma, STAT1 bound proximally to regions of the genome that exhibit regulated transcriptional activity. This finding was consistent between different tiling microarray platforms, and between different measures of transcriptional activity, including differential binding of RNA polymerase II, and differential mRNA transcription. Re-analysis of tiling microarray data from a recent study of IFN-gamma-induced STAT1 ChIP-chip and mRNA expression revealed that STAT1 binding is tightly associated with localized mRNA transcription in response to IFN-gamma. Close relationships were also apparent between STAT1 binding, STAT2 binding, and mRNA transcription in response to IFN-alpha. Furthermore, we found that sites of STAT1 binding within the Encyclopedia of DNA Elements (ENCODE) region are precisely correlated with sites of either enhanced or diminished binding by the RNA polymerase II complex. CONCLUSION: Together, our results indicate that STAT1 binds proximally to regions of the genome that exhibit regulated transcriptional activity. This finding establishes a generalized basis for the positioning of STAT1 binding sites within the genome, and supports a role for STAT1 in the direct recruitment of the RNA polymerase II complex to the promoters of IFN-gamma-responsive genes.

Binding Sites↗

Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization.

The advent of genome-scale models of metabolism has laid the foundation for the development of computational procedures for suggesting genetic manipulations that lead to overproduction. In this work, the computational OptKnock framework is introduced for suggesting gene deletion strategies leading to the overproduction of chemicals or biochemicals in E. coli. This is accomplished by ensuring that a drain towards growth resources (i.e., carbon, redox potential, and energy) must be accompanied, due to stoichiometry, by the production of a desired product. Computational results for gene deletions for succinate, lactate, and 1,3-propanediol (PDO) production are in good agreement with mutant strains published in the literature. While some of the suggested deletion strategies are straightforward and involve eliminating competing reaction pathways, many others suggest complex and nonintuitive mechanisms of compensating for the removed functionalities. Finally, the OptKnock procedure, by coupling biomass formation with chemical production, hints at a growth selection/adaptation system for indirectly evolving overproducing mutants.

Algorithms↗

Twenty thousand ORFan microbial protein families for the biologist?

The genomes of most newly sequenced organisms contain a significant fraction of ORFs (open reading frames) that match no other sequence in the databases. We refer to these singleton ORFs as sequence ORFans. Because little can be learned about ORFans by homology, the origin and functions of ORFans remain a mystery. However, in this era of full genome sequencing, it seems that ORFans have been underemphasized. In this minireview, we draw attention to the increasing number of ORFans and to the consequences of this growth to biological research in the postgenomic era.

Animals↗

Conditionally replicating luciferase reporter phages: improved sensitivity for rapid detection and assessment of drug susceptibility of Mycobacterium tuberculosis.

TM4 is a lytic mycobacteriophage which infects mycobacteria of clinical importance. A luciferase reporter phage, phAE40, has been constructed from TM4 and was previously shown to be useful for the rapid detection and drug susceptibility testing of Mycobacterium tuberculosis. However, the lytic nature of the phage results in a loss of detectable light output and limits the sensitivity of detection. We describe several strategies aimed at improving the luciferase activity generated by TM4 luciferase phages, including (i) varying the position of the luciferase gene in the phage genome, (ii) isolating host-range mutants of the phage, and (iii) introducing temperature-sensitive mutations in the phage such that it will not replicate at the infecting temperature. Several new phages generated by these methods show increased intensity of luciferase production compared to the first-generation reporter phage phAE40, and one phage, phAE88, also demonstrates an enhanced duration of luciferase activity. This has allowed the detection of as few as 120 BCG cells and the determination of drug susceptibilities of M. tuberculosis in as little as 1 day.

Bacteriological Techniques↗