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Target selection for structural genomics: a single genome approach.

We describe our strategy for selecting targets for protein structure determination in context of structural genomics of a single genome. In the course of target selection, we have studied two of the smallest microbial genomes, Mycoplasma genitalium and Mycoplasma pneumoniae. To our surprise, we found that only 71 Mycoplasma genes or their orthologues can be considered as easy targets for high-throughput structural studies--far fewer than expected. We discuss the methods and criteria used for target selection and the reasons explaining rarity of easy targets. First, despite the common opinion that protein folds can be predicted for only 30-50% of genes, the number of "truly unknown" structures is less than one-third. Second, due to the different codon usage, two thirds of Mycoplasma proteins cannot be directly expressed in E. coli in high-throughput manner and require substitution by their homologues from other organisms. Third, membrane or large multi-domain proteins are difficult targets because of solubility and size issues and often require identification and structure determination of protein domains. Finally, we propose different approaches to address the difficult targets.

Cell Membrane↗

Functional genomics databases on the web.

Experiments involving high-throughput methods for measuring transcripts, proteins and metabolites constitute the area of functional genomics. These experiments are highly context dependent and require much more detail about the experimental design, sample and protocols used than in genomics. Functional genomics databases are needed that follow established and emerging standards. Functional genomic databases are not yet very common; however, there are a few focused on microbial genomes and a couple integrative systems are available for setting up functional genomics databases.

Computational Biology↗

A computational method to predict genetically encoded rare amino acids in proteins.

In several natural settings, the standard genetic code is expanded to incorporate two additional amino acids with distinct functionality, selenocysteine and pyrrolysine. These rare amino acids can be overlooked inadvertently, however, as they arise by recoding at certain stop codons. We report a method for such recoding prediction from genomic data, using read-through similarity evaluation. A survey across a set of microbial genomes identifies almost all the known cases as well as a number of novel candidate proteins.

Amino Acid Sequence↗

Predictions of rhizosphere microbiome dynamics with a genome-informed and trait-based energy budget model.

Soil microbiomes are highly diverse, and to improve their representation in biogeochemical models, microbial genome data can be leveraged to infer key functional traits. By integrating genome-inferred traits into a theory-based hierarchical framework, emergent behaviour arising from interactions of individual traits can be predicted. Here we combine theory-driven predictions of substrate uptake kinetics with a genome-informed trait-based dynamic energy budget model to predict emergent life-history traits and trade-offs in soil bacteria. When applied to a plant microbiome system, the model accurately predicted distinct substrate-acquisition strategies that aligned with observations, uncovering resource-dependent trade-offs between microbial growth rate and efficiency. For instance, inherently slower-growing microorganisms, favoured by organic acid exudation at later plant growth stages, exhibited enhanced carbon use efficiency (yield) without sacrificing growth rate (power). This insight has implications for retaining plant root-derived carbon in soils and highlights the power of data-driven, trait-based approaches for improving microbial representation in biogeochemical models.

Rhizosphere↗

Improved pattern for genome-based screening identifies novel cell wall-attached proteins in gram-positive bacteria.

With a large number of sequenced microbial genomes available, tools for identifying groups or classes of proteins have become increasingly important. Here we present an improved pattern for the identification of cell wall-attached proteins (CWPs), a group of proteins with diverse and important functions in gram-positive bacteria. This tripartite pattern is based on analysis of 65 previously described cell wall-attached proteins and takes into account the three principal requirements for cell wall sorting; a sortase target region (LPXTGX), a membrane-spanning region, and a charged stop-transfer tail. In five different genomes of gram-positive bacteria, the tripartite pattern identified a total of 35 putative CWPs, 19 of which were novel. The specificity and sensitivity of the tripartite pattern are higher than those of the classical pattern, which is based solely on the sortase target region. Several putative CWPs with atypical sortase target regions were identified. In the complete genome of the important human pathogen Streptococcus pyogenes, the tripartite pattern identified 14 putative CWPs. Seven of the putative S. pyogenes proteins were novel, and two of these were a 5' nucleotidase and a pullulanase. This study represents the first whole-genome screening for CWPs, and we conclude that the tripartite pattern is highly suitable for this purpose. Identification of CWPs using this pattern offers important possibilities in the study of the pathogenesis and physiology of gram-positive bacteria.

Amino Acid Sequence↗

A peptide profile of the Bacillus subtilis genome.

Bacillus subtilis is known to produce an abundance of small polypeptides. Several of these have antimicrobial activity and others are pheromones or extracellular factors that affect internal signal transduction systems. The completion of the B. subtilis genomic nucleotide sequence has revealed 345 small polypeptide open-reading frames (of 85 codons or less), 81% of which are of unknown function. A significant number of these reside in prophage genomes or phage-like elements where they can be organized into large operons. It is likely that many more exist in the genome of B. subtilis but are "hidden" entirely or partially within other reading frames, or possess non-conventional translation start signals and have escaped detection. The discovery of so many small polypeptide orfs (SPORFs) and the likelihood of many more pose a challenging problem for those undertaking the complete functional analysis of genes that constitute prokaryotic genomes. A survey of known and potential peptide-encoding reading frames is presented herein as an attempt to classify those that are found in the B. subtilis genome according to function inferred from homology searches and to conservation among products of other microbial genomes.

Amino Acid Sequence↗

How representative are the known structures of the proteins in a complete genome? A comprehensive structural census.

BACKGROUND: Determining how representative the known structures are of the proteins encoded by a complete genome is important for assessing to what extent our current picture of protein stability and folding is overly influenced by biases in the structure databank (PDB). It is also important for improving database-based methods of structure prediction and genome annotation. RESULTS: The known structures are compared to the proteins encoded by eight complete microbial genomes in terms of simple statistics such as sequence length, composition and secondary structure. The known structures are represented by a collection of nonhomologous domains from the PDB and a smaller list of 'biophysical proteins' on which folding experiments have concentrated. The proteins encoded by the genomes are considered as a whole and divided into various regions, such as known-structure homologue, low complexity (nonglobular), transmembrane or linker. Various tests are performed to assess the significance of the reported differences, in both a practical and a statistical sense. CONCLUSIONS: The proteins encoded by the genomes are significantly different from those in the PDB. Their sequence lengths, which follow an extreme value distribution, are longer than the PDB proteins and much longer than the biophysical proteins. Their composition differs from the PDB proteins in having more Lys, Ile, Asn and Gln and less Cys and Trp. This is true overall and especially for the regions corresponding to soluble proteins of as yet unknown fold. Secondary-structure prediction on these uncharacterized regions indicates that they contain on average more helical structure than the PDB; differences about this mean are small, with yeast having slightly more sheet structure and Haemophilus influenzae and Helicobacter pylori more helical structure. Further information is available through the GeneCensus system at http://bioinfo.mbb.yale.edu/genome.

Animals↗

Using bioinformatics in gene and drug discovery.

Bioinformatics has, out of necessity, become a key aspect of drug discovery in the genomic revolution, contributing to both target discovery and target validation. The author describes the role that bioinformatics has played and will continue to play in response to the waves of genome-wide data sources that have become available to the industry, including expressed sequence tags, microbial genome sequences, model organism sequences, polymorphisms, gene expression data and proteomics. However, these knowledge sources must be intelligently integrated.

Journal Article↗

Development and applications of microbial ecogenomic indicators for monitoring water quality: report of a workshop assessing the state of the science, research needs and future directions.

This article brings forth recommendations from a workshop sponsored by the U.S. Environmental Protection Agency's Science to Achieve Results (STAR) and Environmental Monitoring and Assessment (EMAP) Programs and by the Council of State Governments, held during May 2002 in Kansas City, Kansas. The workshop assembled microbial ecologists and environmental scientists to determine what research and science is needed to bring existing molecular biological approaches and newer technologies arising from microbial genomic research into environmental monitoring and water quality assessments. Development of genomics and proteomics technologies for environmental science is a very new area having potential to improve environmental water quality assessments. The workshop participants noted that microbial ecologists are already using molecular biological methods well suited for monitoring and water quality assessments and anticipate that genomics-enabled technologies could be made available for monitoring within a decade. Recommendations arising from the workshop include needs for (i) identification of informative microbial gene sequences, (ii) improved understandings of linkages between indicator taxa, gene expression and environmental condition, (iii) technological advancements towards field application, and (iv) development of the appropriate databases.

Animals↗

Open reading frame yjbI of Bacillus subtilis codes for truncated hemoglobin.

A hypothetical open reading frame from Bacillus subtilis genome, yjbI [NCBI genome database Accession No. ] having homology to many globin and globin-like proteins from different microbial genomes, was selectively amplified from the chromosomal DNA of B. subtilis strain DB104 based on genome sequence database of B. subtilis strain 168. The gene was cloned and over-expressed in Escherichia coli under the transcriptional control of tandem lambda P(L) and P(R) promoters, and the protein was purified to homogeneity. The single-chain monomeric hemoglobin-like protein is stable to the extent of 5.45 kcal/mol at 25 degrees C, binds carbon mono-oxide, and shows optical spectra characteristic of hemoproteins. The protein also exhibits peroxidase-like activity. This is the first report of a truncated bacterial globin endowed with peroxidase-like activity. The activity is enhanced in the presence of urea and guanidine hydrochloride, more so in the presence of the latter. Presumably, only a small portion of the protein is involved in peroxidase activity, which is exposed with increasing concentration of the denaturants.

Amino Acid Sequence↗

Where are the pseudogenes in bacterial genomes?

Most bacterial genomes have very few pseudogenes; notable exceptions include the genomes of the intracellular parasites Rickettsia prowazekii and Mycobacterium leprae. As DNA can be introduced into microbial genomes in many ways, the compact nature of these genomes suggests that the rate of DNA influx is balanced by the rate of DNA deletion. We propose that the influx of dangerous genetic elements such as transposons and bacteriophages selects for the maintenance of relatively high deletion rates in most bacteria; the sheltered lifestyle of intracellular parasites removes this threat, leading to reduced deletion rates and larger pseudogene loads.

Bacteriophages↗

The genome sequence of Rickettsia prowazekii and the origin of mitochondria.

We describe here the complete genome sequence (1,111,523 base pairs) of the obligate intracellular parasite Rickettsia prowazekii, the causative agent of epidemic typhus. This genome contains 834 protein-coding genes. The functional profiles of these genes show similarities to those of mitochondrial genes: no genes required for anaerobic glycolysis are found in either R. prowazekii or mitochondrial genomes, but a complete set of genes encoding components of the tricarboxylic acid cycle and the respiratory-chain complex is found in R. prowazekii. In effect, ATP production in Rickettsia is the same as that in mitochondria. Many genes involved in the biosynthesis and regulation of biosynthesis of amino acids and nucleosides in free-living bacteria are absent from R. prowazekii and mitochondria. Such genes seem to have been replaced by homologues in the nuclear (host) genome. The R. prowazekii genome contains the highest proportion of non-coding DNA (24%) detected so far in a microbial genome. Such non-coding sequences may be degraded remnants of 'neutralized' genes that await elimination from the genome. Phylogenetic analyses indicate that R. prowazekii is more closely related to mitochondria than is any other microbe studied so far.

DNA Replication↗

Infectious diseases: considerations for the 21st century.

The discipline of infectious diseases will assume added prominence in the 21st century in both developed and developing nations. To an unprecedented extent, issues related to infectious diseases in the context of global health are on the agendas of world leaders, health policymakers, and philanthropies. This attention has focused both on scientific challenges such as vaccine development and on the deleterious effects of infectious diseases on economic development and political stability. Interest in global health has led to increasing levels of financial support, which, combined with recent technological advances, provide extraordinary opportunities for infectious disease research in the 21st century. The sequencing of human and microbial genomes and advances in functional genomics will underpin significant progress in many areas, including understanding human predisposition and susceptibility to disease, microbial pathogenesis, and the development new diagnostics, vaccines, and therapies. Increasingly, infectious disease research will be linked to the development of the medical infrastructure and training needed in developing countries to translate scientific advances into operational reality.

Bioterrorism↗

Identification of functional links between genes using phylogenetic profiles.

MOTIVATION: Genes with identical patterns of occurrence across the phyla tend to function together in the same protein complexes or participate in the same biochemical pathway. However, the requirement that the profiles be identical (i) severely restricts the number of functional links that can be established by such phylogenetic profiling; (ii) limits detection to very strong functional links, failing to capture relations between genes that are not in the same pathway, but nevertheless subserve a common function and (iii) misses relations between analogous genes. Here we present and apply a method for relaxing the restriction, based on the probability that a given arbitrary degree of similarity between two profiles would occur by chance, with no biological pressure. Function is then inferred at any desired level of confidence. RESULTS: We derive an expression for the probability distribution of a given number of chance co-occurrences of a pair of non-homologous orthologs across a set of genomes. The method is applied to 2905 clusters of orthologous genes (COGs) from 44 fully sequenced microbial genomes representing all three domains of life. Among the results are the following. (1) Of the 51 000 annotated intrapathway gene pairs, 8935 are linked at a level of significance of 0.01. This is over 30-fold greater than the 271 intrapathway pairs obtained at the same confidence level when identical profiles are used. (2) Of the 540 000 interpathway genes pairs, some 65 000 are linked at the 0.01 level of significance, some 12 standard deviations beyond the number expected by chance at this confidence level. We speculate that many of these links involve nearest-neighbor path, and discuss some examples. (3) The difference in the percentage of linked interpathway and intrapathway genes is highly significant, consistent with the intuitive expectation that genes in the same pathway are generally under greater selective pressure than those that are not. (4) The method appears to recover well metabolic networks. This is illustrated by the TCA cycle which is recovered as a highly connected, weighted edge network of 30 of its 31 COGs. (5) The fraction of pairs having a common pathway is a symmetric function of the Hamming distance between their profiles. This finding, that the functional correlation between profiles with near maximum Hamming distance is as large as between profiles with near zero Hamming distance, and as statistically significant, is plausibly explained if the former group represents analogous genes.

Algorithms↗

Monitoring genome evolution ex vivo: reversible chromosomal integration of a 106 kb plasmid at two tRNA(Lys) gene loci in sequential Pseudomonas aeruginosa airway isolates.

The genome rearrangements in sequential Pseudomonas aeruginosa clone K isolates from the airways of a patient with cystic fibrosis were determined by an integrated approach of mapping, sequencing and bioinformatics. Restriction mapping uncovered an 8.9 kb deletion of PAO sequence between phnAB and oprL in clone K, and two 106 kb insertions either adjacent to this deletion or several hundred kilobases away, close to the pilA locus. These 106 kb blocks of extra DNA also co-existed as the circular plasmid pKLK106 in several clone K isolates and were found to be closely related to plasmid pKLC102 in P. aeruginosa clone C isolates. The breakpoints of the deletion in clone K and the attB-attP sequences for the reversible integration of the plasmid in clones C and K were located within the 3' end of the lysine tRNA structural genes (att site). pKLK106 sequentially recombined with either of the two tRNA(Lys) genes in clone K isolates. The att site of the pilA hypervariable region has been utilized by clone C to target its plasmid pKLC102 into the chromosome; the att site of the phnAB-oprL region has been employed by strain PAO to incorporate a DNA block encoding pyocin, transposases and IS elements. The use of typical phage attachment sites by conjugative genetic elements could be one of the major mechanisms used by P. aeruginosa to generate the mosaic genome structure of blocks of species-, clone- and strain-specific DNA. The example described here demonstrates the potential impact of systematic genome analysis of sequential isolates from the same habitat on our understanding of the evolution of microbial genomes.

Base Sequence↗

Identifying functional links between genes using conserved chromosomal proximity.

Conservation of proximity of a pair of genes across multiple genomes generally indicates that their functions could be linked. Here, we present a systematic evaluation using 42 complete microbial genomes from 25 phylogenetic groups to test the reliability of this observation in predicting function for genes. We find a relationship between the number of phylogenetic groups in which a gene pair is proximate and the probability that the pair belongs to a common pathway. Our method produces 1586 links between ortholog families substantiated by observed proximity in genomes representing at least three phylogenetic groups. Of the pairs annotated in the KEGG database, 80% are in the same biological pathway in KEGG.

Chromosome Mapping↗

Dictyostelium mobile elements: strategies to amplify in a compact genome.

Dictyostelium discoideum is a eukaryotic microorganism that is attractive for the study of fundamental biological phenomena such as cell-cell communication, formation of multicellularity, cell differentiation and morphogenesis. Large-scale sequencing of the D. discoideum genome has provided new insights into evolutionary strategies evolved by transposable elements (TEs) to settle in compact microbial genomes and to maintain active populations over evolutionary time. The high gene density (about 1 gene/2.6 kb) of the D. discoideum genome leaves limited space for selfish molecular invaders to move and amplify without causing deleterious mutations that eradicate their host. Targeting of transfer RNA (tRNA) gene loci appears to be a generally successful strategy for TEs residing in compact genomes to insert away from coding regions. In D. discoideum, tRNA gene-targeted retrotransposition has evolved independently at least three times by both non-long terminal repeat (LTR) retrotransposons and retrovirus-like LTR retrotransposons. Unlike the nonspecifically inserting D. discoideum TEs, which have a strong tendency to insert into preexisting TE copies and form large and complex clusters near the ends of chromosomes, the tRNA gene-targeted retrotransposons have managed to occupy 75% of the tRNA gene loci spread on chromosome 2 and represent 80% of the TEs recognized on the assembled central 6.5-Mb part of chromosome 2. In this review we update the available information about D. discoideum TEs which emerges both from previous work and current large-scale genome sequencing, with special emphasis on the fact that tRNA genes are principal determinants of retrotransposon insertions into the D. discoideum genome.

Animals↗

Codon bias signatures, organization of microorganisms in codon space, and lifestyle.

New and simple numerical criteria based on a codon adaptation index are applied to the complete genomic sequences of 80 Eubacteria and 16 Archaea, to infer weak and strong genome tendencies toward content bias, translational bias, and strand bias. These criteria can be applied to all microbial genomes, even those for which little biological information is known, and a codon bias signature, that is the collection of strong biases displayed by a genome, can be automatically derived. A codon bias space, where genomes are identified by their preferred codons, is proposed as a novel formal framework to interpret genomic relationships. Principal component analysis confirms that although GC content has a dominant effect on codon bias space, thermophilic and mesophilic species can be identified and separated by codon preferences. Two more examples concerning lifestyle are studied with linear discriminant analysis: suitable separating functions characterized by sets of preferred codons are provided to discriminate: translationally biased (hyper)thermophiles from mesophiles, and organisms with different respiratory characteristics, aerobic, anaerobic, facultative aerobic and facultative anaerobic. These results suggest that codon bias space might reflect the geometry of a prokaryotic "physiology space." Evolutionary perspectives are noted, numerical criteria and distances among organisms are validated on known cases, and various results and predictions are discussed both on methodological and biological grounds.

Adaptation, Biological↗