Predicting function: from genes to genomes and back

Contribution of genomics to bacterial pathogenesis

Genomics is changing the landscape of modern biology. The impact is far-reaching because it provides both the most economical means of acquiring large amounts of information and because it has forced the creation of new technologies to exploit this information. Five of the six genomes published in the year from August 1998 to August 1999 were human pathogens, all of which are highly host-adapted. Four of these are obligate intracellular pathogens and the study of these genomes is providing novel insights into the intricacies of pathogen-host interactions and co-evolution. These genomes are also significant because they mark the beginning of an important trend in the sequencing of closely related genomes, including the sequencing of more than one strain from a single pathogenic species. As comparative genomics truly comes of age, the ability to compare the genomes of pathogenic and non-pathogenic organisms will hopefully provide insight into what makes certain bacterial strains and species pathogens.

The minimal genome concept

Complete genome sequences are becoming available for a large number of diverse species. Quantification of gene content, of gene family expansion, of orthologous gene conservation, as well as their displacement, are now possible - laying the ground for the estimation of the minimal set of proteins sufficient for cellular life. The consensus of computational results suggests a set close to 300 genes. These predictions will be evaluated by engineering of small bacterial genomes.

Benchmarking PSI-BLAST in genome annotation

The recognition of remote protein homologies is a major aspect of the structural and functional annotation of newly determined genomes. Here we benchmark the coverage and error rate of genome annotation using the widely used homology-searching program PSI-BLAST (position-specific iterated basic local alignment search tool). This study evaluates the one-to-many success rate for recognition, as often there are several homologues in the database and only one needs to be identified for annotating the sequence. In contrast, previous benchmarks considered one-to-one recognition in which a single query was required to find a particular target. The benchmark constructs a model genome from the full sequences of the structural classification of protein (SCOP) database and searches against a target library of remote homologous domains (<20 % identity). The structural benchmark provides a reliable list of correct and false homology assignments. PSI-BLAST successfully annotated 40 % of the domains in the model genome that had at least one homologue in the target library. This coverage is more than three times that if one-to-one recognition is evaluated (11 % coverage of domains). Although a structural benchmark was used, the results equally apply to just sequence homology searches. Accordingly, structural and sequence assignments were made to the sequences of Mycoplasma genitalium and Mycobacterium tuberculosis (see http://www.bmm.icnet. uk). The extent of missed assignments and of new superfamilies can be estimated for these genomes for both structural and functional annotations.

Recognition of regulatory sites by genomic comparison

Availability of complete bacterial genomes opens the way to the comparative approach to the recognition of transcription regulatory sites. Assumption of regulon conservation in conjunction with profile analysis provides two lines of independent evidence making it possible to make highly specific predictions. Recently this approach was used to analyze several regulons in eubacteria and archaebacteria. The present review covers recent advances in the comparative analysis of transcriptional regulation in prokaryotes and phylogenetic fingerprinting techniques in eukaryotes, and describes the emerging patterns of the evolution of regulatory systems.

Evolution of protein function, from a structural perspective

The recent growth in structural data, and ensuing analyses, have revealed the structural and functional versatility of protein families. With respect to enzymes, local active-site mutations, variations in surface loops and recruitment of additional domains accommodate the diverse substrate specificities and catalytic activities observed within several superfamilies. Conversely, some functions have more than one structural solution, having evolved independently several times during evolution. Combined with the existence of multi-functional genes, which have arisen by gene recruitment, these phenomena must be considered in the process of genome annotation.

Prediction of potential GPI-modification sites in proprotein sequences

Glycosylphosphatidylinositol (GPI) lipid anchoring is a common posttranslational modification known mainly from extracellular eukaryotic proteins. Attachment of the GPI moiety to the carboxyl terminus (omega-site) of the polypeptide follows after proteolytic cleavage of a C-terminal propeptide. For the first time, a new prediction technique locating potential GPI-modification sites in precursor sequences has been applied for large-scale protein sequence database searches. The composite prediction function (with separate parametrisation for metazoan and protozoan proteins) consists of terms evaluating both amino acid type preferences at sequence positions near a supposed omega-site as well as the concordance with general physical properties encoded in multi-residue correlation within the motif sequence. The latter terms are especially successful in rejecting non-appropriate sequences from consideration. The algorithm has been validated with a self-consistency and two jack-knife tests for the learning set of fully annotated sequences from the SWISS-PROT database as well as with a newly created database "big-Pi" (more than 300 GPI-motif mutations extracted from original literature sources). The accuracy of predicting the effect of mutations in the GPI sequence motif was above 83 %. Lists of potential precursor proteins which are non-annotated in SWISS-PROT and SPTrEMBL are presented on the WWW-page http://www.embl-heidelberg.de/beisenha/gpi/gpi_p rediction. html The algorithm has been implemented in the prototype software "big-Pi predictor" which may find application as a genome annotation and target selection tool.

Variation and evolution of the citric-acid cycle: a genomic perspective

The presence of genes encoding enzymes involved in the citric-acid cycle has been studied in 19 completely sequenced genomes. In the majority of species, the cycle appears to be incomplete or absent. Several distinct, incomplete cycles reflect adaptations to different environments. Their distribution over the phylogenetic tree hints at precursors in the evolution of the citric-acid cycle.

Protein families in multicellular organisms

The complete sequence of the nematode worm Caenorhabditis elegans contains the genetic machinery that is required to undertake the core biological processes of single cells. However, the genome also encodes proteins that are associated with multicellularity, as well as others that are lineage-specific expansions of phylogenetically widespread families and yet more that are absent in non-nematodes. Ongoing analysis is beginning to illuminate the similarities and differences among human proteins and proteins that are encoded by the genomes of the multicellular worm and the unicellular yeast, and will be essential in determining the reliability of transferring experimental data among phylogenetically distant species.

Assigning protein functions by comparative genome analysis: protein phylogenetic profiles

Determining protein functions from genomic sequences is a central goal of bioinformatics. We present a method based on the assumption that proteins that function together in a pathway or structural complex are likely to evolve in a correlated fashion. During evolution, all such functionally linked proteins tend to be either preserved or eliminated in a new species. We describe this property of correlated evolution by characterizing each protein by its phylogenetic profile, a string that encodes the presence or absence of a protein in every known genome. We show that proteins having matching or similar profiles strongly tend to be functionally linked. This method of phylogenetic profiling allows us to predict the function of uncharacterized proteins.