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Genomic choice of codons in 16 microbial species.

We study the codon usage over whole set of ORFs of 16 unicellular microbial species: eight archaebacteria, seven eubacteria, and one eukarya. We first try to define, for each species, the neutral expected codon usage to better approach subsequently the influence of selection. Overlapping triplets counted from the complete DNA genomic sequence and mean amino acid composition of ORFs allow us to build satisfying expected codon usage for each species. Within species deviation from this neutral model is then studied through Correspondence Analysis and characterization with bias index, N(C)' (effective number of codons reported to neutral model). Our results are compared to previously published ones for three species and let appear good agreement in spite of very different methods. We thus propose set of codons probably preferred by selection for nine other species. In the four last species, no clear preference can be evidenced. Finally, we characterize variation of codon usage over functional categories. We propose that the high degree of bias of proteins involved in translation, ribosomal structure and biogenesis has a positive influence on overexpression of the corresponding genes under optimum growth conditions and is a negative regulator of the same genes when amino acids become limited resources.

Base Composition↗

The chromosomal genome sequence of the maze coral, Meandrina meandrites (Linnaeus, 1758) (Scleractinia: Meandrinidae) and its associated microbial metagenome sequences.

We present a genome assembly from a specimen of Meandrina meandrites (maze coral; Cnidaria; Anthozoa; Scleractinia; Meandrinidae). The genome sequence has a total length of 551.16 megabases. Most of the assembly (99.25%) is scaffolded into 14 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 17.2 kilobases. Gene annotation of this assembly by Ensembl identified 30 464 protein-coding genes. We recovered two bins from the metagenome data.

Meandrina meandrites↗

Genome-wide cloning and characterization of microbial esterases.

We have isolated putative esterase genes from various bacterial chromosomes. Thirty open reading frames predicted to encode esterases were randomly selected from 13 sequenced bacterial chromosomes and were cloned into an expression vector. The esterase activity of the resulting clones was tested on a tributyrin plate at different pH values and temperatures. Nine out of thirty tested clones exhibited significant tributyrin hydrolyzing activity. The enzyme S5 from the gene b0494 of Escherichia coli, the enzyme S12 from the gene STM0506 of Salmonella typhimurium, and the enzyme S28 from the gene AF1716 of Archaeoglobus fulgidus exhibited high activity at an alkaline pH range. The esterase S11 encoded by the gene PA3859 of Pseudomonas aeruginosa PAO1 and the esterase S21 from the gene SMc01033 of Sinorhizobium meliloti 1021, both showed a sharp increase in enzyme activity above pH 8.0. Furthermore, the enzymes S5, S12, S21, and S28 retained the esterase activity when they were incubated at 50 degrees C, suggesting that these enzymes are thermostable. Subsequent pH vs. activity and temperature vs. activity experiments with selected enzymes in a solution assay system confirmed the validity of the above data. The genome-wide exploration strategy of proteins provided valuable information on the esterases by revealing subtle biochemical differences between the esterases of different sources.

Amino Acid Sequence↗

The chromosomal genome sequence of the lesser starlet coral, Siderastrea radians (Pallas, 1766) (Scleractinia: Rhizangiidae) and its associated microbial metagenome sequences.

We present a genome assembly from a specimen of Siderastrea radians (lesser starlet coral; Cnidaria; Anthozoa; Scleractinia; Rhizangiidae). The genome sequence has a total length of 807.19 megabases. Most of the assembly (94.17%) is scaffolded into 14 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 19.38 kilobases. Gene annotation of this assembly by Ensembl identified 47 051 protein-coding genes. From the metagenome data, we recovered two binned metagenomes assigned to the bacterial phylum Bacteroidota and class Bacteroidia.

Scleractinia↗

[Application of PCR-DGGE to resolve microbial diversity in bio-hydrogen producing reactor].

To reveal microbial diversity of anaerobic activated sludge in bio-hydrogen producing reactor, sludge in different period were sampled and their genomic DNA of microbial community was extracted directly. After purification of the genomic DNA using DNA gel recovery kit, the 16S rRNA genes (V3 region) were amplified by using the universal primers (F338GC and R534). The result of agarose gel (2%) electrophoresis show that the PCR products were about 200bp. These amplified DNA fragments were separated by denaturing gradient gel electrophoresis (DGGE) with the denaturant (urea and formamide) from 30% to 60%. The profile of DGGE show that different sludge had the different bands' patterns. In the profiles of DGGE, there exist some common bands in all sludge samples, which indicate that some kinds of microorganisms exist in each period. On the other hand, the specific bands in some sludge show that different period had their own specific microorganisms. Dynamics of community structure and amount of dominant populations were responsible to different period. Shift of microbial diversity correspond to period of running reactor, microbial diversity increased before it decreased. Similarity between communities gradually increased, speed of shift gradually decreased in succession. Finally, microbial climax community made up of specific populations was formed.

Bacteria↗

Origins of highly mosaic mycobacteriophage genomes.

Bacteriophages are the most abundant organisms in the biosphere and play major roles in the ecological balance of microbial life. The genomic sequences of ten newly isolated mycobacteriophages suggest that the bacteriophage population as a whole is amazingly diverse and may represent the largest unexplored reservoir of sequence information in the biosphere. Genomic comparison of these mycobacteriophages contributes to our understanding of the mechanisms of viral evolution and provides compelling evidence for the role of illegitimate recombination in horizontal genetic exchange. The promiscuity of these recombination events results in the inclusion of many unexpected genes including those implicated in mycobacterial latency, the cellular and immune responses to mycobacterial infections, and autoimmune diseases such as human lupus. While the role of phages as vehicles of toxin genes is well established, these observations suggest a much broader involvement of phages in bacterial virulence and the host response to bacterial infections.

Autoimmune Diseases↗

Hybridization of DNA probes with whole-community genome for detection of genes that encode microbial responses to pollutants: mer genes and Hg2+ resistance.

Nucleic acids extracted from microbial biomass without prior culturing were hybridized with probes representing four mer operons to detect genes encoding adaptation to Hg2+ in whole-community genomes. A 29-fold enrichment in sequences similar to the mer genes of transposon Tn501 occurred during adaptation in a freshwater community. In an estuarine community, all four mer genes were only slightly enriched (by three- to fivefold), suggesting that additional, yet uncharacterized, mer genes encoded adaptation to Hg2+.

Adaptation, Physiological↗

Unveiling phthalate esters biodegradation from microbial community to Pseudarthrobacter scleromae HL-1: Kinetics, genomic insights, pathways, toxicity assessment and environmental remediation.

Phthalate esters (PAEs) are ubiquitous synthetic plasticizer pollutants posing severe ecological and human health risks. This study compared microbial community structures and dibutyl phthalate (DBP) degradation kinetics of two consortia: 7-day enriched MC1 (50 mg/L DBP) and 6-cycle acclimated MC7 (50-1000 mg/L DBP), demonstrating directional DBP stress selection generated a low-diversity, highly specialized degradative community with a 25.4 mg/L/h maximum degradation rate (Vmax), 1.68-fold higher than MC1. Four dominant DBP-degrading strains were isolated from MC7; Pseudarthrobacter scleromae HL-1 showed the highest efficiency with 17.1 mg/L/h Vmax and complete 500 mg/L DBP removal within 72 h, broad substrate spectrum, and strong adaptability after optimization. Whole-genome sequencing and GC-MS/MS elucidated a dual-parallel DBP mineralization pathway, first reported in Pseudarthrobacter, integrating ester hydrolysis and side-chain β-oxidation. ECOSAR and Chlorella vulgaris bioassays confirmed progressive toxicity attenuation, with > 99% relative toxicity reduction after 72 h and no toxic intermediate accumulation. Natural lake water trials with trace background PAEs showed HL-1 successfully colonized aquatic environments, reshaped indigenous communities into synergistic degradative consortia, and achieved 99.2% DBP removal in 84 h. This work provides comprehensive insights into PAE biodegradation mechanisms from community to single strain and highlights HL-1 as a promising candidate for remediating PAE-polluted aquatic ecosystems.

Genomic analysis↗

Sequential activation of signaling pathways during innate immune responses in Drosophila.

Innate immunity is essential for metazoans to fight microbial infections. Genome-wide expression profiling was used to analyze the outcome of impairing specific signaling pathways after microbial challenge. We found that these transcriptional patterns can be dissected into distinct groups. We demonstrate that, in addition to signaling through the Toll and Imd pathways, signaling through the JNK and JAK/STAT pathways controls distinct subsets of targets induced by microbial agents. Each pathway shows a specific temporal pattern of activation and targets different functional groups, suggesting that innate immune responses are modular and recruit distinct physiological programs. In particular, our results may imply a close link between the control of tissue repair and antimicrobial processes.

Animals↗

Genomic style of proteins: concepts, methods and analyses of ribosomal proteins from 16 microbial species.

We have introduced the concept of genomic 'style' of proteins. By style we understand those properties of a large set of proteins which are specific to the genome of one species (species primary-self) and different from the genome of another species (species contrasted-self). To characterise the style, we took advantage of the frequencies of amino acids and dipeptides present in non-identical segments of the complete set of orthologous ribosomal proteins encoded by 16 microbial species. We confirm the dependence of the overall amino acid composition on the genomic (G+C) content, and introduce a rectification procedure making it possible to extricate appropriate species-specific characteristics, which are no longer related to this content. The rectified frequencies are used to calculate inter-species distance matrices, and to build genomic evolutionary trees. Remarkably, the phylograms derived from the frequencies of non-identical residues in proteins closely resemble the classical phylograms based upon the conservation of identical residues in ribosomal RNAs. We believe that the concept of genomic style of proteins can be a useful tool for the study of evolution.

Amino Acid Sequence↗

Applications of DNA microarrays in microbial systems.

DNA microarray technology allows a parallel analysis of RNA abundance and DNA homology for thousands of genes in a single experiment. Over the past few years, this powerful technology has been used to explore transcriptional profiles and genome differences for a variety of microorganisms, greatly facilitating our understanding of microbial metabolism. With the increasing availability of complete microbial genomes, DNA microarrays are becoming a common tool in many areas of microbial research, including microbial physiology, pathogenesis, epidemiology, ecology, phylogeny, pathway engineering and fermentation optimization.

DNA, Bacterial↗

Wastewater treatment: a model system for microbial ecology.

Biological wastewater treatment is among the most important biotechnological applications and, as drivers of the key processes, microorganisms are central to its success. Therefore, the study of wastewater microorganisms has obvious applied significance; however, the importance of wastewater treatment reactors as model systems for microbial ecology is often overlooked. Modern molecular techniques, including environmental genomics, have identified unexpected microbial key players for nutrient removal and sludge bulking and/or foaming, and provided many exciting insights into the diversity, functions and niche differentiations of these predominantly uncultivated microorganisms. It is now time for wastewater microbiology to be recognized as a mature and dynamic discipline in its own right, offering much toward a deeper understanding of life in complex microbial communities. Here, we consider selected key findings to illustrate the past and future roles of molecular ecophysiology and genomics in the development of wastewater microbiology as an important subdiscipline of microbial ecology.

Bacteria↗

Functional genomics of pathogenic bacteria.

Microbial diseases remain the commonest cause of global mortality and morbidity. Automated-DNA sequencing has revolutionized the investigation of pathogenic microbes by making the immense fund of information contained in their genomes available at reasonable cost. The challenge is how this information can be used to increase current understanding of the biology of commensal and virulence behaviour of pathogens with particular emphasis on in vivo function and novel approaches to prevention. One example of the application of whole-genome-sequence information is afforded by investigations of the pathogenic role of Haemophilus influenzae lipopolysaccharide and its candidacy as a vaccine.

Gene Expression Regulation, Bacterial↗

DURABLE: A Workflow for Determining Corrosion-Driving and Protective Microbial Mechanisms.

Microbiologically influenced corrosion (MIC) threatens global infrastructure, causing billions of dollars in annual losses. Its persistence stems from unresolved mechanisms─particularly the metabolites produced by microorganisms that drive or inhibit corrosion─and the microbial community structures. Progress has been hindered by the absence of systematic workflows to rapidly and accurately identify MIC-relevant microorganisms and their functions. Here, we present DURABLE (Detection of Unique Corrosion Resistant or Accelerating Biologics in a Laboratory Environment), a pipeline that couples high-throughput microbial screening with genomic and metabolic workflows. We applied the DURABLE workflow to six diesel tank samples and revealed fuel-dependent microbial community structures, which showed greater diversity and evenness in bacterial communities than their fungal counterparts. The workflow used carbon steel beads to rapidly screen over 80 bacterial isolates for corrosive activity, reducing assay time to approximately 2 days compared with the conventional 30-day metal coupon test. More than 40 isolates were identified as corrosive. Further testing using mass spectrometry analysis revealed corrosion-associated metabolites, which were further validated using electrochemical assays. Thus, DURABLE achieved a ∼15-fold increase in screening speed and provided a scalable and mechanistic framework for dissecting MIC dynamics. We expect this advance will enable the development of precision mitigation strategies in hydrocarbon fuel infrastructure.

Bacteria↗

GRS: a graphic tool for genome retrieval and segment analysis.

GRS is a graphic tool for retrieval and visualization of genome segments from partially or completely sequenced genomes. To facilitate visual identification of conserved genomic motifs, genes are color-coded according to their presumed functional roles. Aligned genes can be rapidly screened for potential homology by automatic retrieval and alignment of the corresponding protein sequences. Furthermore, the map location of any genome segment can be visually compared to the position of the same segment in other genomes or to the position of other segments within the same genome. The gene string analysis option of GRS allows the identification of genes that are identically arranged in any pairwise set of genomes. Finally, the program allows the user to create new gene table format files to enable comparisons of gene order structures in recently determined sequence data to the patterns of genes in already existing microbial and organellar databases. With the help of GRS, the genomic contexts of genes for which no identifiable homologues exist can be analyzed to provide an additional source of information for sequence annotations. We illustrate the use of GRS by analyzing the structure and distribution of phylogenetically conserved motifs in closely as well as more distantly related microbial genomes.

Computer Graphics↗

Genomics for environmental microbiology.

The utilization of natural microbial diversity in biotechnology is hindered by our inability to culture the vast majority of microorganisms and the observation that laboratory engineered bacteria rarely function in the wild. It is now clear that an understanding of the community structure, function and evolution of bacteria in their natural environments is required to meet the promise of microbial biotechnology. To meet these new challenges, microbiologists are applying the tools of genomics and related high-throughput technologies to both cultured microbes and environmental samples. This work will lead to new views on ecosystems and biological function together with the biotechnology enabled by this science.

Environmental Microbiology↗

Metal ion-catalyzed nucleic acid alkylation and fragmentation.

Nucleic acid microarrays are a growing technology in which high densities of known sequences are attached to a substrate in known locations (addressed). Hybridization of complementary sequences leads to a detectable signal such as an electrical impulse or fluorescence. This combination of sequence addressing, hybridization, and detection increases the efficiency of a variety of genomic disciplines including those that profile genetic expression, search for single nucleotide polymorphisms (SNPs), or diagnose infectious diseases by sequencing portions of microbial or viral genomes. Incorporation of reporter molecules into nucleic acids is essential for the sensitive detection of minute amounts of nucleic acids on most types of microarrays. Furthermore, polynucleic acid size reduction increases hybridization because of increased diffusion rates and decreased competing secondary structure of the target nucleic acids. Typically, these reactions would be performed as two separate processes. An improvement to past techniques, termed labeling-during-cleavage (LDC), is presented in which DNA or RNA is alkylated with fluorescent tags and fragmented in the same reaction mixture. In model studies with 26 nucleotide-long RNA and DNA oligomers using ultraviolet/visible and fluorescence spectroscopies as well as high-pressure liquid chromatography and mass spectrometry, addition of both alkylating agents (5-(bromomethyl)fluorescein, 5- or 6-iodoacetamidofluorescein) and select metal ions (of 21 tested) to nucleic acids in aqueous solutions was critical for significant increases in both labeling and fragmentation, with >or=100-fold increases in alkylation possible relative to metal ion-free reactions. Lanthanide series metal ions, Pb(2+), and Zn(2+) were the most reactive ions in terms of catalyzing alkylation and fragmentation. While oligonucleotides were particularly susceptible to fragmentation at sites containing phosphorothioate moieties, labeling and cleavage reactions occurred even without incorporation of phosphorothioate moieties into the RNA and DNA target molecules. In fact, LDC conditions were found in which RNA could be fragmented into its component monomers, allowing simultaneous sequencing from both the 5'- and the 3'-termini by mass spectrometry. The results can be explained by alkylation of the (thio)phosphodiester linkages to form less hydrolytically stable (thio)phosphotriesters, which then decompose into 2',3'-cyclic phosphate (or 2'-phosphate) and 5'-hydroxyl terminal products. Analysis of fragmentation and alkylation products of Mycobacterium tuberculosis (Mtb) ribosomal RNA (rRNA) transcripts by polyacrylamide gel electrophoresis was consistent with the model studies. Building upon these results, I found that products from Mtb rRNA amplification products were processed with fluorescent reporters and metal ions in a single reaction milieu for analysis on an Affymetrix GeneChip. Mild conditions were discovered which balanced the need for aggressive alkylation and the need for controlled fragmentation, advantageously yielding GeneChip results with greater than 98% of the nucleotides reported correctly relative to reference sequences, results sufficient for accurately identifying Mtb from other Mycobacterium species. Thus, LDC is a new, straightforward, and rapid aqueous chemistry that is based on metal ion-catalyzed alkylation and alkylation-catalyzed fragmentation of nucleic acids for analysis on microarrays or other hybridization assays and that, possibly, has utility in similar processing of other appropriately functionalized biomolecules.

Alkylation↗