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Bernard Labedan

Publications and source records attributed to Bernard Labedan.

11 recordsLinked to original sources
PubMed2006

ORENZA: a web resource for studying ORphan ENZyme activities.

BACKGROUND: Despite the current availability of several hundreds of thousands of amino acid sequences, more than 36% of the enzyme activities (EC numbers) defined by the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) are not associated with any amino acid sequence in major public databases. This wide gap separating knowledge of biochemical function and sequence information is found for nearly all classes of enzymes. Thus, there is an urgent need to explore these sequence-less EC numbers, in order to progressively close this gap. DESCRIPTION: We designed ORENZA, a PostgreSQL database of ORphan ENZyme Activities, to collate information about the EC numbers defined by the NC-IUBMB with specific emphasis on orphan enzyme activities. Complete lists of all EC numbers and of orphan EC numbers are available and will be periodically updated. ORENZA allows one to browse the complete list of EC numbers or the subset associated with orphan enzymes or to query a specific EC number, an enzyme name or a species name for those interested in particular organisms. It is possible to search ORENZA for the different biochemical properties of the defined enzymes, the metabolic pathways in which they participate, the taxonomic data of the organisms whose genomes encode them, and many other features. The association of an enzyme activity with an amino acid sequence is clearly underlined, making it easy to identify at once the orphan enzyme activities. Interactive publishing of suggestions by the community would provide expert evidence for re-annotation of orphan EC numbers in public databases. CONCLUSION: ORENZA is a Web resource designed to progressively bridge the unwanted gap between function (enzyme activities) and sequence (dataset present in public databases). ORENZA should increase interactions between communities of biochemists and of genomicists. This is expected to reduce the number of orphan enzyme activities by allocating gene sequences to the relevant enzymes.

Amino Acid Sequence↗
PubMed2006

Bioinformatic analysis of an unusual gene-enzyme relationship in the arginine biosynthetic pathway among marine gamma proteobacteria: implications concerning the formation of N-acetylated intermediates in prokaryotes.

BACKGROUND: The N-acetylation of L-glutamate is regarded as a universal metabolic strategy to commit glutamate towards arginine biosynthesis. Until recently, this reaction was thought to be catalyzed by either of two enzymes: (i) the classical N-acetylglutamate synthase (NAGS, gene argA) first characterized in Escherichia coli and Pseudomonas aeruginosa several decades ago and also present in vertebrates, or (ii) the bifunctional version of ornithine acetyltransferase (OAT, gene argJ) present in Bacteria, Archaea and many Eukaryotes. This paper focuses on a new and surprising aspect of glutamate acetylation. We recently showed that in Moritella abyssi and M. profunda, two marine gamma proteobacteria, the gene for the last enzyme in arginine biosynthesis (argH) is fused to a short sequence that corresponds to the C-terminal, N-acetyltransferase-encoding domain of NAGS and is able to complement an argA mutant of E. coli. Very recently, other authors identified in Mycobacterium tuberculosis an independent gene corresponding to this short C-terminal domain and coding for a new type of NAGS. We have investigated the two prokaryotic Domains for patterns of gene-enzyme relationships in the first committed step of arginine biosynthesis. RESULTS: The argH-A fusion, designated argH(A), and discovered in Moritella was found to be present in (and confined to) marine gamma proteobacteria of the Alteromonas- and Vibrio-like group. Most of them have a classical NAGS with the exception of Idiomarina loihiensis and Pseudoalteromonas haloplanktis which nevertheless can grow in the absence of arginine and therefore appear to rely on the arg(A) sequence for arginine biosynthesis. Screening prokaryotic genomes for virtual argH-X 'fusions' where X stands for a homologue of arg(A), we retrieved a large number of Bacteria and several Archaea, all of them devoid of a classical NAGS. In the case of Thermus thermophilus and Deinococcus radiodurans, the arg(A)-like sequence clusters with argH in an operon-like fashion. In this group of sequences, we find the short novel NAGS of the type identified in M. tuberculosis. Among these organisms, at least Thermus, Mycobacterium and Streptomyces species appear to rely on this short NAGS version for arginine biosynthesis. CONCLUSION: The gene-enzyme relationship for the first committed step of arginine biosynthesis should now be considered in a new perspective. In addition to bifunctional OAT, nature appears to implement at least three alternatives for the acetylation of glutamate. It is possible to propose evolutionary relationships between them starting from the same ancestral N-acetyltransferase domain. In M. tuberculosis and many other bacteria, this domain evolved as an independent enzyme, whereas it fused either with a carbamate kinase fold to give the classical NAGS (as in E. coli) or with argH as in marine gamma proteobacteria. Moreover, there is an urgent need to clarify the current nomenclature since the same gene name argA has been used to designate structurally different entities. Clarifying the confusion would help to prevent erroneous genomic annotation.

Acetylation↗
PubMed2006

Orphan enzymes could be an unexplored reservoir of new drug targets.

Despite the immense progress of genomics, and the current availability of several hundreds of thousands of amino acid sequences, >39% of well-defined enzyme activities (as represented by enzyme commission, EC, numbers) are not associated with any sequence. There is an urgent need to explore the 1525 orphan enzymes (enzymes having EC numbers without an associated sequence) to bridge the wide gap that separates knowledge of biochemical function and sequence information. Strikingly, orphan enzymes can even be found among enzymatic activities successfully used as drug targets. Here, knowledge of sequence would help to develop molecular-targeted therapies, suppressing many drug-related side-effects.

Animals↗
PubMed2005

Orphan enzymes?

Explore the source record for details and available documents.

Amino Acid Sequence↗
PubMed2004

Retrieving sequences of enzymes experimentally characterized but erroneously annotated : the case of the putrescine carbamoyltransferase.

BACKGROUND: Annotating genomes remains an hazardous task. Mistakes or gaps in such a complex process may occur when relevant knowledge is ignored, whether lost, forgotten or overlooked. This paper exemplifies an approach which could help to resuscitate such meaningful data. RESULTS: We show that a set of closely related sequences which have been annotated as ornithine carbamoyltransferases are actually putrescine carbamoyltransferases. This demonstration is based on the following points : (i) use of enzymatic data which had been overlooked, (ii) rediscovery of a short NH2-terminal sequence allowing to reannotate a wrongly annotated ornithine carbamoyltransferase as a putrescine carbamoyltransferase, (iii) identification of conserved motifs allowing to distinguish unambiguously between the two kinds of carbamoyltransferases, and (iv) comparative study of the gene context of these different sequences. CONCLUSIONS: We explain why this specific case of misannotation had not yet been described and draw attention to the fact that analogous instances must be rather frequent. We urge to be especially cautious when high sequence similarity is coupled with an apparent lack of biochemical information. Moreover, from the point of view of genome annotation, proteins which have been studied experimentally but are not correlated with sequence data in current databases qualify as "orphans", just as unassigned genomic open reading frames do. The strategy we used in this paper to bridge such gaps in knowledge could work whenever it is possible to collect a body of facts about experimental data, homology, unnoticed sequence data, and accurate informations about gene context.

Amino Acid Motifs↗
PubMed2003

Sub-families of alpha/beta barrel enzymes: a new adenine deaminase family.

No gene coding for an adenine deaminase has been described in eukaryotes. However, physiological and genetical evidence indicates that adenine deaminases are present in the ascomycetes. We have cloned and characterised the genes coding for the adenine deaminases of Aspergillus nidulans, Saccharomyces cerevisiae and Schizosaccharomyces pombe. The A.nidulans gene was expressed in Escherichia coli and the purified enzyme shows adenine but not adenosine deaminase activity. The open reading frames coded by the three genes are very similar and obviously related to the bacterial and eukaryotic adenosine deaminases rather than to the bacterial adenine deaminases. The latter are related to allantoinases, ureases and dihydroorotases. The fungal adenine deaminases and the homologous adenosine deaminases differ in a number of residues, some of these being clearly involved in substrate specificity. Other prokaryotic enzymes in the database, while clearly related to the above, do not fit into either sub-class, and may even have a different specificity. These results imply that adenine deaminases have appeared twice in the course of evolution, from different ancestral enzymes constructed both around the alpha/beta barrel scaffold.

Amino Acid Sequence↗
PubMed2003

Using quaternary structures to assess the evolutionary history of proteins: the case of the aspartate carbamoyltransferase.

Many evolutionary scenarios describing the history of proteins are based solely on phylogenetic studies. We have designed a new approach that allows ascertainment of such questionable scenarios by taking into account quaternary structures: we used aspartate carbamoyltransferase (ATCase) as a case study. Prokaryotic ATCases correspond to different classes of quaternary structures according to the mode of association of the catalytic PyrB subunit with other polypeptides, either the PyrI regulatory subunit (class B) or a dihydroorotase (class A), which may be active (PyrC, subclass A1) or inactive (PyrC', subclass A2). Class C is uniquely made up of trimers of PyrB. The PyrB phylogenetic tree is not congruent with the tree of life, but it became coherent when we recognized the existence of two families of ATCases, ATC I and ATC II. Remarkably, a very strong correlation was found between the pattern of PyrB phylogenetic clustering and the different classes of quaternary structures of ATCases. All class B ATCases form a clade in family ATC II, which also contains all eukaryotic sequences. In contrast, family ATC I is made up of classes A and C. These results suggest unexpected common ancestry for prokaryotic B and eukaryotic ATCases on the one hand, and for A and C on the other. Thus, the emergence of specific quaternary structures appears to have been a more recent event than the separation into the ATC I and ATC II families. We propose that different evolutionary constraints, depending on the identity of the partners interacting in the different kinds of holoenzymes, operated in a concerted way on the ancestral pyrB genes and the respective associated genes pyrI or pyrC, so as to maintain appropriate inter-polypeptides interactions at the level of quaternary structure. The process of coevolution of genes encoding proteins interacting in various holoenzymes has been assessed by calculating the correlation coefficient between their respective phylogenetic trees. Our approach integrating data obtained from the separate fields of structural biology and molecular evolution could be useful in other cases where pure statistical data need to receive independent confirmation.

Archaea↗
PubMed2002

A strategy to retrieve the whole set of protein modules in microbial proteomes.

Protein homology is often limited to long structural segments that we have previously called modules. We describe here a suite of programs used to catalog the whole set of modules present in microbial proteomes. First, the Darwin AllAll program detects homologous segments using thresholds for evolutionary distance and alignment length, and another program classifies these modules. After assembling these homologous modules in families, we further group families which are related by a chain of neighboring unrelated homologous modules. With the automatic analysis of these groups of families sharing homologous modules in independent multimodular proteins, one can split into their component parts many fused modules and/or deduce by logic more distant modules. All detected and inferred modules are reassembled in refined families. These two last steps are made by a unique program. Eventually, the soundness of the data obtained by this experimental approach is checked using independent tests. To illustrate this modular approach, we compared four proteobacterial proteomes (Campylobacter jejuni, Escherichia coli, Haemophilus influenzae, and Helicobacter pylori). It appears that this method might retrieve from present-day proteins many of the modules which can help to trace back ancient events of gene duplication and/or fusion.

Bacterial Proteins↗
PubMed2002

Physiological genomics of Escherichia coli protein families.

The well-researched Escherichia coli genome offers the opportunity to explore the value of using protein families within a single organism to enrich functional annotation procedures and to study mechanisms of protein evolution. Having identified multimodular proteins resulting from gene fusion, and treated each module as a separate protein, nonoverlapping sequence-similar families in E. coli could be assembled. Of 3,902 proteins of length 100 residues or more, 2,415 clustered into 609 protein families. The relatedness of function among members of each family was dissected in detail. Data on paralogous protein families provides valuable information in attributing putative function to unknown genes, supplementing existing function annotation. Enzymes, transporters, and regulators represent the three major types of proteins in E. coli. They are shown to have distinctive patterns in gene duplication and divergence and gene fusion, suggesting that details of protein evolution have been different for genes in these categories. Data for the complete list of paralogous protein families and updated functional annotation for E. coli K-12 are accessible in GenProtEC (http://genprotec.mbl.edu).

Carrier Proteins↗