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Luciano Brocchieri

Publications and source records attributed to Luciano Brocchieri.

11 recordsLinked to original sources
PubMed2006

Chaperonomics, a new tool to study ageing and associated diseases.

The participation of molecular chaperones in the process of senescence and in the mechanisms of age-related diseases is currently under investigation in many laboratories. However, accurate, complete information about the number and diversity of chaperone genes in any given genome is scarce. Consequently, the results of efforts aimed at elucidating the role of chaperones in ageing and disease are often confusing and contradictory. To remedy this situation, we have developed chaperonomics, including means to identify and characterize chaperone genes and their families applicable to humans and model organisms. The problem is difficult because in eukaryotic organisms chaperones have evolved into complex multi-gene families. For instance, the occurrence of multiple paralogs in a single genome makes it difficult to interpret results if consideration is not given to the fact that similar but distinct chaperone genes can be differentially expressed in separate cellular compartments, tissues, and developmental stages. The availability of complete genome sequences allows implementation of chaperonomics with the purpose of understanding the composition of chaperone families in all cell compartments, their evolutionary and functional relations and, ultimately, their role in pathogenesis. Here, we present a series of concatenated, complementary procedures for identifying, characterizing, and classifying chaperone genes in genomes and for elucidating evolutionary relations and structural features useful in predicting functional properties. We illustrate the procedures with applications to the complex family of hsp70 genes and show that the kind of data obtained can provide a solid basis for future research.

Aging↗
PubMed2006

Distinguishing features of delta-proteobacterial genomes.

We analyzed several features of five currently available delta-proteobacterial genomes, including two aerobic bacteria exhibiting predatory behavior and three anaerobic sulfate-reducing bacteria. The delta genomes are distinguished from other bacteria by several properties: (i) The delta genomes contain two "giant" S1 ribosomal protein genes in contrast to all other bacterial types, which encode a single or no S1; (ii) in most delta-proteobacterial genomes the major ribosomal protein (RP) gene cluster is near the replication terminus whereas most bacterial genomes place the major RP cluster near the origin of replication; (iii) the delta genomes possess the rare combination of discriminating asparaginyl and glutaminyl tRNA synthetase (AARS) together with the amido-transferase complex (Gat CAB) genes that modify Asp-tRNA(Asn) into Asn-tRNA(Asn) and Glu-tRNA(Gln) into Gln-tRNA(Gln); (iv) the TonB receptors and ferric siderophore receptors that facilitate uptake and removal of complex metals are common among delta genomes; (v) the anaerobic delta genomes encode multiple copies of the anaerobic detoxification protein rubrerythrin that can neutralize hydrogen peroxide; and (vi) sigma(54) activators play a more important role in the delta genomes than in other bacteria. delta genomes have a plethora of enhancer binding proteins that respond to environmental and intracellular cues, often as part of two-component systems; (vii) delta genomes encode multiple copies of metallo-beta-lactamase enzymes; (viii) a host of secretion proteins emphasizing SecA, SecB, and SecY may be especially useful in the predatory activities of Myxococcus xanthus; (ix) delta proteobacteria drive many multiprotein machines in their periplasms and outer membrane, including chaperone-feeding machines, jets for slime secretion, and type IV pili. Bdellovibrio replicates in the periplasm of prey cells. The sulfate-reducing delta proteobacteria metabolize hydrogen and generate a proton gradient by electron transport. The predicted highly expressed genes from delta genomes reflect their different ecologies, metabolic strategies, and adaptations.

Amino Acyl-tRNA Synthetases↗
PubMed2006

Evolution of a protein-folding machine: genomic and evolutionary analyses reveal three lineages of the archaeal hsp70(dnaK) gene.

The stress chaperone protein Hsp70 (DnaK) (abbreviated DnaK) and its co-chaperones Hsp40(DnaJ) (or DnaJ) and GrpE are universal in bacteria and eukaryotes but occur only in some archaea clustered in the order 5'-grpE-dnaK-dnaJ-3' in a locus termed Locus I. Three structural varieties of Locus I, termed Types I, II, and III, were identified, respectively, in Methanosarcinales, in Thermoplasmatales and Methanothermobacter thermoautotrophicus, and in Halobacteriales. These Locus I types corresponded to three groups identified by phylogenetic trees of archaeal DnaK proteins including the same archaeal subdivisions. These archaeal DnaK groups were not significantly interrelated, clustering instead with DnaKs from three bacterial lineages, Methanosarcinales with Firmicutes, Thermoplasmatales and M. thermoautotrophicus with Thermotoga, and Halobacteriales with Actinobacteria, suggesting that the three archaeal types of Locus I were acquired by independent events of lateral gene transfer. These associations, however, lacked strong bootstrap support and were sensitive to dataset choice and tree-reconstruction method. Structural features of dnaK loci in bacteria revealed that Methanosarcinales and Firmicutes shared a similar structure, also common to most other bacterial groups. Structural differences were observed instead in Thermotoga compared to Thermoplasmatales and M. thermoautotrophicus, and in Actinobacteria compared to Halobacteriales. It was also found that the association between the DnaK sequences from Halobacteriales and Actinobacteria likely reflects common biases in their amino acid compositions. Although the loci structural features and the DnaK trees suggested the possibility of lateral gene transfer between Firmicutes and Methanosarcinales, the similarity between the archaeal and the ancestral bacterial loci favors the more parsimonious hypothesis that all archaeal sequences originated from a unique prokaryotic ancestor.

Amino Acid Sequence↗
PubMed2005

Protein length in eukaryotic and prokaryotic proteomes.

We analyzed length differences of eukaryotic, bacterial and archaeal proteins in relation to function, conservation and environmental factors. Comparing Eukaryotes and Prokaryotes, we found that the greater length of eukaryotic proteins is pervasive over all functional categories and involves the vast majority of protein families. The magnitude of these differences suggests that the evolution of eukaryotic proteins was influenced by processes of fusion of single-function proteins into extended multi-functional and multi-domain proteins. Comparing Bacteria and Archaea, we determined that the small but significant length difference observed between their proteins results from a combination of three factors: (i) bacterial proteomes include a greater proportion than archaeal proteomes of longer proteins involved in metabolism or cellular processes, (ii) within most functional classes, protein families unique to Bacteria are generally longer than protein families unique to Archaea and (iii) within the same protein family, homologs from Bacteria tend to be longer than the corresponding homologs from Archaea. These differences are interpreted with respect to evolutionary trends and prevailing environmental conditions within the two prokaryotic groups.

Amino Acid Sequence↗
PubMed2005

Predicted highly expressed genes in archaeal genomes.

Based primarily on 16S rRNA sequence comparisons, life has been broadly divided into the three domains of Bacteria, Archaea, and Eukarya. Archaea is further classified into Crenarchaea and Euryarchaea. Archaea generally thrive in extreme environments as assessed by temperature, pH, and salinity. For many prokaryotic organisms, ribosomal proteins (RP), transcription/translation factors, and chaperone genes tend to be highly expressed. A gene is predicted highly expressed (PHX) if its codon usage is rather similar to the average codon usage of at least one of the RP, transcription/translation factors, and chaperone gene classes and deviates strongly from the average gene of the genome. The thermosome (Ths) chaperonin family represents the most salient PHX genes among Archaea. The chaperones Trigger factor and HSP70 have overlapping functions in the folding process, but both of these proteins are lacking in most archaea where they may be substituted by the chaperone prefoldin. Other distinctive PHX proteins of Archaea, absent from Bacteria, include the proliferating cell nuclear antigen PCNA, a replication auxiliary factor responsible for tethering the catalytic unit of DNA polymerase to DNA during high-speed replication, and the acidic RP P0, which helps to initiate mRNA translation at the ribosome. Other PHX genes feature Cell division control protein 48 (Cdc48), whereas the bacterial septation proteins FtsZ and minD are lacking in Crenarchaea. RadA is a major DNA repair and recombination protein of Archaea. Archaeal genomes feature a strong Shine-Dalgarno ribosome-binding motif more pronounced in Euryarchaea compared with Crenarchaea.

Archaea↗
PubMed2005

Genomic and proteomic comparisons between bacterial and archaeal genomes and related comparisons with the yeast and fly genomes.

Bacterial, archaeal, yeast, and fly genomes are compared with respect to predicted highly expressed (PHX) genes and several genomic properties. There is a striking difference in the status of PHX ribosomal protein (RP) genes where the archaeal genome generally encodes more RP genes and fewer PHX RPs compared with bacterial genomes. The increase in RPs in archaea and eukaryotes compared with that in bacteria may reflect a more complex set of interactions in archaea and eukaryotes in regulating translation, e.g., differences in structure requiring scaffolding of longer rRNA molecules, expanded interactions with the chaperone machinery, and, in eukaryotic interactions with endoplasmic reticulum components. The yeast genome is similar to fast-growing bacteria in PHX genes but also features several cytoskeletal genes, including actin and tropomyosin, and several signal transduction regulatory proteins from the 14.3.3 family. The most PHX genes of Drosophila encode cytoskeletal and exoskeletal proteins. We found that the preference of a microorganism for an anaerobic metabolism correlates with the number of PHX enzymes of the glycolysis pathway that well exceeds the number of PHX enzymes acting in the tricarboxylic acid cycle. Conversely, if the number of PHX enzymes of the tricarboxylic acid cycle well exceeds the PHX enzymes of glycolysis, an aerobic metabolism is preferred. Where the numbers are approximately commensurate, a facultative growth behavior prevails.

Animals↗
PubMed2005

Predicting coding potential from genome sequence: application to betaherpesviruses infecting rats and mice.

Prediction of protein-coding regions and other features of primary DNA sequence have greatly contributed to experimental biology. Significant challenges remain in genome annotation methods, including the identification of small or overlapping genes and the assessment of mRNA splicing or unconventional translation signals in expression. We have employed a combined analysis of compositional biases and conservation together with frame-specific G+C representation to reevaluate and annotate the genome sequences of mouse and rat cytomegaloviruses. Our analysis predicts that there are at least 34 protein-coding regions in these genomes that were not apparent in earlier annotation efforts. These include 17 single-exon genes, three new exons of previously identified genes, a newly identified four-exon gene for a lectin-like protein (in rat cytomegalovirus), and 10 probable frameshift extensions of previously annotated genes. This expanded set of candidate genes provides an additional basis for investigation in cytomegalovirus biology and pathogenesis.

Amino Acid Sequence↗
PubMed2003

The composition, structure and stability of a group II chaperonin are temperature regulated in a hyperthermophilic archaeon.

The hyperthermoacidophilic archaeon Sulfolobus shibatae contains group II chaperonins, known as rosettasomes, which are two nine-membered rings composed of three different 60 kDa subunits (TF55 alpha, beta and gamma). We sequenced the gene for the gamma subunit and studied the temperature-dependent changes in alpha, beta and gamma expression, their association into rosettasomes and their phylogenetic relationships. Alpha and beta gene expression was increased by heat shock (30 min, 86 degrees C) and decreased by cold shock (30 min, 60 degrees C). Gamma expression was undetectable at heat shock temperatures and low at normal temperatures (75-79 degrees C), but induced by cold shock. Polyacrylamide gel electrophoresis indicated that in vitro alpha and beta subunits form homo-oligomeric rosettasomes, and mixtures of alpha, beta and gamma form hetero-oligomeric rosettasomes. Transmission electron microscopy revealed that beta homo-oligomeric rosettasomes and all hetero-oligomeric rosettasomes associate into filaments. In vivo rosettasomes were hetero-oligomeric with an average subunit ratio of 1alpha:1beta:0.1gamma in cultures grown at 75 degrees C, a ratio of 1alpha:3beta:1gamma in cultures grown at 60 degrees C and a ratio of 2alpha:3beta:0gamma after 86 degrees C heat shock. Using differential scanning calorimetry, we determined denaturation temperatures (Tm) for alpha, beta and gamma subunits of 95.7 degrees C, 96.7 degrees C and 80.5 degrees C, respectively, and observed that rosettasomes containing gamma were relatively less stable than those with alpha and/or beta only. We propose that, in vivo, the rosettasome structure is determined by the relative abundance of subunits and not by a fixed geometry. Furthermore, phylogenetic analyses indicate that archaeal chaperonin subunits underwent multiple duplication events within species (paralogy). The independent evolution of these paralogues raises the possibility that chaperonins have functionally diversified between species.

Amino Acid Sequence↗
PubMed2002

Amino acid runs in eukaryotic proteomes and disease associations.

We present a comparative proteome analysis of the five complete eukaryotic genomes (human, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Arabidopsis thaliana), focusing on individual and multiple amino acid runs, charge and hydrophobic runs. We found that human proteins with multiple long runs are often associated with diseases; these include long glutamine runs that induce neurological disorders, various cancers, categories of leukemias (mostly involving chromosomal translocations), and an abundance of Ca(2 +) and K(+) channel proteins. Many human proteins with multiple runs function in development and/or transcription regulation and are Drosophila homeotic homologs. A large number of these proteins are expressed in the nervous system. More than 80% of Drosophila proteins with multiple runs seem to function in transcription regulation. The most frequent amino acid runs in Drosophila sequences occur for glutamine, alanine, and serine, whereas human sequences highlight glutamate, proline, and leucine. The most frequent runs in yeast are of serine, glutamine, and acidic residues. Compared with the other eukaryotic proteomes, amino acid runs are significantly more abundant in the fly. This finding might be interpreted in terms of innate differences in DNA-replication processes, repair mechanisms, DNA-modification systems, and mutational biases. There are striking differences in amino acid runs for glutamine, asparagine, and leucine among the five proteomes.

Animals↗
PubMed2002

Heterogeneity of genome and proteome content in bacteria, archaea, and eukaryotes.

Our analysis compares bacteria, archaea, and eukaryota with respect to a wide assortment of genome and proteome properties. These properties include ribosomal protein gene distributions, chaperone protein contrasts, major variation of transcription/translation factors, gene encoding pathways of energy metabolism, and predicted protein expression levels. Significant differences within and between the three domains of life include protein lengths, information processing procedures, many metabolic and lipid biosynthesis pathways, cellular controls, and regulatory proteins. Differences among genomes are influenced by lifestyle, habitat, physiology, energy sources, and other factors.

Amino Acids↗