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Biased biological functions of horizontally transferred genes in prokaryotic genomes.

Horizontal gene transfer is one of the main mechanisms contributing to microbial genome diversification. To clarify the overall picture of interspecific gene flow among prokaryotes, we developed a new method for detecting horizontally transferred genes and their possible donors by Bayesian inference with training models for nucleotide composition. Our method gives the average posterior probability (horizontal transfer index) for each gene sequence, with a low horizontal transfer index indicating recent horizontal transfer. We found that 14% of open reading frames in 116 prokaryotic complete genomes were subjected to recent horizontal transfer. Based on this data set, we quantitatively determined that the biological functions of horizontally transferred genes, except mobile element genes, are biased to three categories: cell surface, DNA binding and pathogenicity-related functions. Thus, the transferability of genes seems to depend heavily on their functions.

Algorithms↗

100th American society for microbiology annual meeting.

The 100th ASM Annual Meeting, attended by approximately 10,000 delegates, continued the trend of concentrating on bacteria and antibacterial therapy, mixed with genomics and a diverse number of additional topics. Of the various marketable drug classes, the quinolones received attention with respect to susceptibility studies and several drug comparison studies. New marketable drugs were also of interest, especially given the reservoirs of resistance presented by several speakers. Drugs in development include the antibacterial daptomycin and protegrins and the antifungal lipodepsinonapeptides and echinocandins, to name a few. It is still unclear whether or not antibiotic treatment regimens for Chlamydia pneumonia will he necessary, as association of this bacteria with several chronic diseases, such as atherosclerosis and asthma, was discussed. The development of novel antibiotics was highlighted and the potential role that microbial genomics technology could play was a recurring theme. In fact, a number of symposia treated the increasingly popular topic of genomics in a variety of themes, including phenotyping arrays, transcriptional profiling, proteomics, expression profiling, genome sequencing, target areas or essentiality of genes via gene knockout systems, the role of genomics in pharmaceutical development and fungal genomics. Similarly, genomics plays a role in developing a deeper appreciation for classical areas of interest in microbial physiology, such as gene regulation, cell division, fatty acid biosynthesis, DNA replication and cell signalling. Even in the bio-inorganic field of study in microbial metabolite activation, genomics plays a role. The sequencing of the large gene clusters of the auxiliary proteins necessary to synthesise or activate the metallo-proteins provided insights into the mechanisms of activation of these microbial enzymes, including the genes for the nif gene cluster in Azotobacter vinelandii, the urease from Kiebsiella aerogenes and the three hydrogenases in Ralstonia eutropha.

Anti-Bacterial Agents↗

Evolutionary relatedness between glycolytic enzymes most frequently occurring in genomes.

More than 100 sequenced genomes were searched for genes coding for the enzymes involved in glycolysis in an effort to find the most frequently occurring ones. Triosephosphate isomerase (TIM), glyceraldehyde-3-phosphate dehydrogenase (GAPD), phosphoglycerate kinase (PGK) and enolase (ENOL) were found to be present in 90 investigated genomes all together. The final set consisted of 80 prokaryotic and 10 eukaryotic genomes. Of the 80 prokaryotic genomes, 73 were from Bacteria, 7 from Archaea. Two microbial genomes were also from Eucarya (yeasts). Eight genomes of nonmicrobial origin were included for comparison. The amino acid sequences of TIMs, GAPDs, PGKs and ENOLs were collected and aligned, and their individual as well as concatenated evolutionary trees were constructed and discussed. The trees clearly demonstrate a closer relatedness between Eucarya and Archaea (especially the concatenated tree) but they do not support the hypothesis that eukaryotic glycolytic enzymes should be closely related to their alpha-proteobacterial counterparts. Phylogenetic analyses further reveal that although the taxonomic groups (e.g., alpha-proteobacteria, gamma-proteobacteria, firmicutes, actinobacteria, etc.) form their more or less compact clusters in the trees, the inter-clade relationships between the trees are not conserved at all. On the other hand, several examples of conservative relatedness separating some clades of the same taxonomic groups were observed, e.g., Buchnera along with Wigglesworthia and the rest of gamma-proteobacteria, or mycoplasmas and the rest of firmicutes. The results support the view that these glycolytic enzymes may have their own evolutionary history.

Computational Biology↗

Computational function assignment for potential drug targets: from single genes to cellular systems.

Biomedical science is currently undergoing an epoch-marking transition from its classical phase to the post-genome era. The outstanding success of world-wide genome sequencing efforts, evidenced by the recent publication of the draft of the human genome, together with the completion of several genomes of eukaryotic model organisms and the availability of microbial genome sequences, is opening up data sources of unprecedented scale for drug discovery. Furthermore, the elucidation of genome expression states through transcriptomic and proteomic techniques is playing a crucial role in the characterisation of disease at the molecular level. At the same time, our still very limited knowledge of the biological functions of genes and proteins at different levels of cellular organisation is preventing full exploitation of the available data. This review will discuss current computational techniques for function prediction based on the sequence-structure-function paradigm. Newly emerging approaches aimed at gaining an expanded understanding of function through integration of data from various sources and modelling of complex cellular systems will also be highlighted.

Amino Acid Sequence↗

Minimization of the Escherichia coli genome using a Tn5-targeted Cre/loxP excision system.

An increasing number of microbial genomes have been completely sequenced, and functional analyses of these genomic sequences are under way. To facilitate these analyses, we have developed a genome-engineering tool for determining essential genes and minimizing bacterial genomes. We made two large pools of independent transposon mutants in Escherichia coli using modified Tn5 transposons with two different selection markers and precisely mapped the chromosomal location of 800 of these transposons. By combining a mapped transposon mutation from each of the mutant pools into the same chromosome using phage P1 transduction and then excising the flanked genomic segment by Cre-mediated loxP recombination, we obtained E. coli strains in which large genomic fragments (59-117 kilobases) were deleted. Some of these individual deletions were then combined into a single "cumulative deletion strain" that lacked 287 open reading frames (313.1 kilobases) but that nevertheless exhibited normal growth under standard laboratory conditions.

Bacteriophage P1↗

Seeing is believing: the impact of structural genomics on antimicrobial drug discovery.

Over the past decade, the availability of complete microbial genome sequences has led to changes in the strategies that are used to search for novel anti-infectives. However, despite the identification of many new potential drug targets, novel antimicrobial agents have been slow to emerge from these efforts. In part, this reflects the long discovery and development times that are needed to bring new drugs to market and the bottlenecks at the stages of identifying good lead compounds and optimizing these leads into drug candidates. Structural genomics will hopefully provide opportunities to overcome these bottlenecks and populate the antimicrobial pipeline.

Anti-Bacterial Agents↗

A census of rRNA genes and linked genomic sequences within a soil metagenomic library.

We have analyzed the diversity of microbial genomes represented in a library of metagenomic DNA from soil. A total of 24,400 bacterial artificial chromosome (BAC) clones were screened for 16S rRNA genes. The sequences obtained from BAC clones were compared with a collection generated by direct PCR amplification and cloning of 16S rRNA genes from the same soil. The results indicated that the BAC library had substantially lower representation of bacteria among the Bacillus, alpha-Proteobacteria, and CFB groups; greater representation among the beta- and gamma-Proteobacteria, and OP10 divisions; and no rRNA genes from the domains Eukaryota and Archaea. In addition to rRNA genes recovered from the bacterial divisions Proteobacteria, Verrucomicrobia, Firmicutes, Cytophagales, and OP11, we identified many rRNA genes from the BAC library affiliated with the bacterial division Acidobacterium; all of these sequences were affiliated with subdivisions that lack cultured representatives. The complete sequence of one BAC clone derived from a member of the Acidobacterium division revealed a complete rRNA operon and 20 other open reading frames, including predicted gene products involved in cell division, cell cycling, folic acid biosynthesis, substrate metabolism, amino acid uptake, DNA repair, and transcriptional regulation. This study is the first step in using genomics to reveal the physiology of as-yet-uncultured members of the Acidobacterium division.

Bacteria↗

Pathogenomics.

The genomes described this month reflect the overall historical bias of microbial genomics towards pathogenic bacteria. Although the balance is now being redressed to some extent, especially through the study of extremophiles, it is still the case that the opportunities provided by genomic studies are primarily taken up by those who study bacterial pathogenicity. This part of the field is, however, being broadened by including the study of pathogens of animals, insects and plants alongside those that afflict humans.

Actinomycetales↗

Genome deterioration: loss of repeated sequences and accumulation of junk DNA.

A global survey of microbial genomes reveals a correlation between genome size, repeat content and lifestyle. Free-living bacteria have large genomes with a high content of repeated sequences and self-propagating DNA, such as transposons and bacteriophages. In contrast, obligate intracellular bacteria have small genomes with a low content of repeated sequences and no or few genetic parasites. In extreme cases, such as in the 650 kb-genomes of aphid endosymbionts of the genus Buchnera all repeated sequences above 200bp have been eliminated. We speculate that the initial downsizing of the genomes of obligate symbionts and parasites occurred by homologous recombination at repeated genes, leading to the loss of large blocks of DNA as well as to the consumption of repeated sequences. Further sequence elimination in these small genomes seems primarily to result from the accumulation of short deletions within genic sequences. This process may lead to temporary increases in the genomic content of pseudogenes and 'junk' DNA. We discuss causes and long-term consequences of extreme genome size reductions in obligate intracellular bacteria.

DNA, Intergenic↗

Annotated draft genomic sequence from a Streptococcus pneumoniae type 19F clinical isolate.

The public availability of numerous microbial genomes is enabling the analysis of bacterial biology in great detail and with an unprecedented, organism-wide and taxon-wide, broad scope. Streptococcus pneumoniae is one of the most important bacterial pathogens throughout the world. We present here sequences and functional annotations for 2.1-Mbp of pneumococcal DNA, covering more than 90% of the total estimated size of the genome. The sequenced strain is a clinical isolate resistant to macrolides and tetracycline. It carries a type 19F capsular locus, but multilocus sequence typing for several conserved genetic loci suggests that the strain sequenced belongs to a pneumococcal lineage that most often expresses a serotype 15 capsular polysaccharide. A total of 2,046 putative open reading frames (ORFs) longer than 100 amino acids were identified (average of 1,009 bp per ORF), including all described two-component systems and aminoacyl tRNA synthetases. Comparisons to other complete, or nearly complete, bacterial genomes were made and are presented in a graphical form for all the predicted proteins.

DNA, Bacterial↗

Identification and characterization of SnrA, an inducible oxygen-insensitive nitroreductase in Salmonella enterica serovar Typhimurium TA1535.

The biological activity of many nitrosubstituted compounds, many of which are produced commercially or have been identified as environmental contaminants, is dependent on metabolic activation catalyzed by nitroreductases. In the current study, we have cloned a nitroreductase gene, Salmonella typhimurium nitroreductase A (snrA), from S. enterica serovar Typhimurium strain TA1535, and characterized the purified gene product. SnrA is 240 amino acids in length and shares 87% sequence identity to the Escherichia coli homolog, E. coli nitroreductase A (NfsA). SnrA is the major nitroreductase in S. enterica serovar Typhimurium strain TA1535 and catalyzes nitroreduction through a ping-pong bi-bi mechanism in a NADPH and flavine mononucleotide (FMN) dependent manner. SnrA exhibits extremely low levels of FMN reductase activity but the nitroreductase activity of SnrA is competitively inhibited by exogenously added FMN. Treatment of TA1535 with paraquat resulted in induction of nitroreductase activity, suggesting that SnrA is a member of the S. enterica serovar Typhimurium SoxRS regulon associated with cellular defense against oxidative damage. Examination of the microbial genomes databases shows that SnrA homologs are widely distributed in the microbial world, being present in isolates of both Archea and Eubacteria. Southern hybridization and PCR failed to detect the snrA gene in the closely related S. enterica serovar Typhimurium strain TA1538. S. enterica serovar Typhimurium strains TA1535 and TA1538 and their derivatives are commonly used in mutagenicity testing. Differences in metabolic capacity between these two strains may have implications for the interpretation of mutagenicity data.

Amino Acid Sequence↗

DNA Data Bank of Japan (DDBJ) for genome scale research in life science.

The DNA Data Bank of Japan (DDBJ, http://www.ddbj.nig.ac.jp) has made an effort to collect as much data as possible mainly from Japanese researchers. The increase rates of the data we collected, annotated and released to the public in the past year are 43% for the number of entries and 52% for the number of bases. The increase rates are accelerated even after the human genome was sequenced, because sequencing technology has been remarkably advanced and simplified, and research in life science has been shifted from the gene scale to the genome scale. In addition, we have developed the Genome Information Broker (GIB, http://gib.genes.nig.ac.jp) that now includes more than 50 complete microbial genome and Arabidopsis genome data. We have also developed a database of the human genome, the Human Genomics Studio (HGS, http://studio.nig.ac.jp). HGS provides one with a set of sequences being as continuous as possible in any one of the 24 chromosomes. Both GIB and HGS have been updated incorporating newly available data and retrieval tools.

Animals↗

Comparative metagenomic assessment of Illumina-compatible library preparation methods, short-read lengths, and PacBio HiFi sequencing reveals differences in microbial and functional diversity recovery from a complex environmental sample.

UNLABELLED: Metagenomics enables comprehensive exploration of microbial communities but is influenced by library preparation and sequencing technologies, affecting recovery of microbial genomes and proteins. Here, we benchmarked six Illumina-compatible short-read library preparation conditions in triplicate at 2 × 150 bp and 2 × 250 bp read lengths alongside PacBio HiFi long-read sequencing using a composite environmental sample of marine mangrove sediment and terrestrial palm tree soil. Longer short reads (2 × 250 bp) combined with optimal library preparation approaches improved assembly quality, protein detection, and metagenome-assembled genome (MAG) recovery, achieving results approaching those of long-read sequencing. TruSeq libraries at 2 × 250 bp recovered more than sevenfold more unique proteins than the same kit at 2 × 150 bp (811,701 vs 110,108) using the same number of sequencing reads, while recovering a comparable number of high-quality MAGs to PacBio HiFi long-read sequencing (11 vs 18) and surpassing it in protein discovery by almost 10-fold (811,701 vs 87,745) at less than half of the sequencing cost. Furthermore, biosynthetic gene cluster analysis identified 46 biosynthetic gene clusters in TruSeq-250PE assemblies compared to 38 in PacBio HiFi, with several showing no close match in the MIBiG database. Although long reads yield more contiguity and complete genomes, longer short reads offer a cost-effective, scalable alternative for uncovering microbial and functional diversity. These findings provide critical guidance for metagenomic experimental design, demonstrating that strategic selection of library preparation chemistry and sequencing parameters can reveal more unknown microbial information in complex biomes without requiring additional sequencing depth. IMPORTANCE: Metagenomic outcomes are strongly influenced by library preparation and sequencing strategies, yet their combined effects in complex environmental samples remain poorly defined. Here, we provide the first direct comparison of Illumina NovaSeq short-read metagenomic sequencing at 2 × 150 bp and 2 × 250 bp across multiple library preparation kits, alongside PacBio HiFi long-read sequencing. We show that sequencing read length and library preparation critically shape assembly quality, protein recovery, and metagenome-assembled genome (MAG) reconstruction. These findings demonstrate that short-read sequencing at 2 × 250 bp, with appropriate library preparation, can match long-read technologies in MAG recovery while substantially surpassing them in protein discovery. With less than half of the sequencing price and a 3.5-fold reduction in cost per gigabase of usable data, this method facilitates more accessible large-scale metagenomic analysis within complex environmental systems.

Metagenomics↗

Divided genomes: negotiating the cell cycle in prokaryotes with multiple chromosomes.

Historically, the prokaryotic genome was assumed to consist of a single circular replicon. However, as more microbial genome sequencing projects are completed, it is becoming clear that multipartite genomes comprised of more than one chromosome are not unusual among prokaryotes. Chromosomes are distinguished from plasmids by the presence of essential genes as well as characteristic cell cycle-linked replication kinetics; unlike plasmids, chromosomes initiate replication once per cell cycle. The existence of multipartite prokaryotic genomes raises several questions regarding how multiple chromosomes are replicated and segregated during the cell cycle. These divided genomes also introduce questions regarding chromosome evolution and genome stability. In this review, we discuss these and other issues, with particular emphasis on the cholera pathogen Vibrio cholerae.

Bacteria↗

Development of antimicrobial agents in the era of new and reemerging infectious diseases and increasing antibiotic resistance.

During the past 2 decades, new infectious diseases have appeared and old ones previously thought to be controlled have reemerged. New and reemerging infectious agents will continue to pose serious threats well into the 21st century. The prediction that the threat of infectious disease may not diminish is supported by evidence that infectious agents cause many chronic diseases and cancer of previous unknown etiology. Moreover, the utility of existing antimicrobial agents is rapidly eroding, tipping the balance in favor of multidrug-resistant pathogens, and there appear to be few, if any, new classes of drugs currently in clinical development. The need for research directed toward development of new antibiotics has never been greater. Advances in research technologies and microbial genome sequencing in the past decade have led to identification of a large number of new targets. Functional genomics and integrative biology should validate these targets and provide the best opportunity for developing effective new therapies, improved diagnostic techniques, and better tools to understand host-pathogen interactions.

Animals↗

Use of competitive DNA hybridization to identify differences in the genomes of bacteria.

Although recent technological advances in DNA sequencing and computational biology now allow scientists to compare entire microbial genomes, comparisons of closely related bacterial species and individual isolates by whole-genome sequencing approaches remains prohibitively expensive for most laboratories. Here we report the development and testing of a biochemical approach for targeted sequencing of only those chromosomal regions that differ between two DNA preparations. The method, designated GFE (genome fragment enrichment) uses competitive solution hybridization and positive selection to obtain genomic DNA fragments that are present in one pool of fragments but not another. Repeated comparisons of the genomes of Enterococcus faecalis and E. faecium led to the identification of 225 putative genome-specific DNA fragments. Species and strain variations within these fragments were confirmed by both experimental and bioinformatic analyses. The E. faecalis genome-specific sequences identified included both a preponderance of those predicted to encode surface-exposed proteins, as well as several previously described unique marker regions embedded within highly conserved rrn operons. The GFE strategy we describe efficiently identified genomic differences between two enterococcal genomes, and will be widely applicable for studying genetic variation among closely related bacterial species.

DNA, Bacterial↗

Genomics-based identification of targets in pathogenic bacteria for potential therapeutic and diagnostic use.

The availability of numerous complete microbial genome sequences has profoundly altered our understanding of a number of fundamental biological processes. For example the enzymes involved in aminoacyl-tRNA (AA-tRNA) synthesis, the key process responsible for the accuracy of protein synthesis, have been found to be highly species-specific. In particular, a number of pathogens contain certain pathways of AA-tRNA synthesis that are unrelated to those found in their mammalian hosts. Since AA-tRNA synthesis is indispensable for cell viability, the discovery of pathogen-specific pathways and enzymes presents novel therapeutic and diagnostic targets. Here we will review recent advances in the elucidation of AA-tRNA synthesis pathways and discuss the possible pharmaceutical exploitation of these discoveries. In particular, the integration of genomic and biochemical approaches to identify novel targets for the treatment of Chlamydial infections and the diagnosis and treatment of Lyme disease will be presented.

Amino Acyl-tRNA Synthetases↗

Genome data: what do we learn?

Genome sequence information has continued to accumulate at a spectacular pace during the past year. Details of the sequence and gene content of human chromosome 22 were published. The sequencing and annotation of the first two Arabidopsis thaliana chromosomes was completed. The sequence of chromosome 3 from Plasmodium falciparum, the second sequenced malaria chromosome, was reported, as was that of chromosome 1 from Leishmania major. The complete genomic sequences of five microbes were reported. Approaches to using data from completely sequenced microbial genomes in phylogenetic studies are being explored, as is the application of microarrays to whole genome expression analysis.

Animals↗