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Patrick Aloy

Publications and source records attributed to Patrick Aloy.

23 records · Page 2Linked to original sources

Ribonucleotide reductases: divergent evolution of an ancient enzyme.

Ribonucleotide reductases (RNRs) are uniquely responsible for converting nucleotides to deoxynucleotides in all dividing cells. The three known classes of RNRs operate through a free radical mechanism but differ in the way in which the protein radical is generated. Class I enzymes depend on oxygen for radical generation, class II uses adenosylcobalamin, and the anaerobic class III requires S-adenosylmethionine and an iron-sulfur cluster. Despite their metabolic prominence, the evolutionary origin and relationships between these enzymes remain elusive. This gap in RNR knowledge can, to a major extent, be attributed to the fact that different RNR classes exhibit greatly diverged polypeptide chains, rendering homology assessments inconclusive. Evolutionary studies of RNRs conducted until now have focused on comparison of the amino acid sequence of the proteins, without considering how they fold into space. The present study is an attempt to understand the evolutionary history of RNRs taking into account their three-dimensional structure. We first infer the structural alignment by superposing the equivalent stretches of the three-dimensional structures of representatives of each family. We then use the structural alignment to guide the alignment of all publicly available RNR sequences. Our results support the hypothesis that the three RNR classes diverged from a common ancestor currently represented by the anaerobic class III. Also, lateral transfer appears to have played a significant role in the evolution of this protein family.

Amino Acid Sequence↗

A complex prediction: three-dimensional model of the yeast exosome.

We present a model of the yeast exosome based on the bacterial degradosome component polynucleotide phosphorylase (PNPase). Electron microscopy shows the exosome to resemble PNPase but with key differences likely related to the position of RNA binding domains, and to the location of domains unique to the exosome. We use various techniques to reduce the many possible models of exosome subunits based on PNPase to just one. The model suggests numerous experiments to probe exosome function, particularly with respect to subunits making direct atomic contacts and conserved, possibly functional residues within the predicted central pore of the complex.

Amino Acid Sequence↗

Structural similarity to link sequence space: new potential superfamilies and implications for structural genomics.

The current pace of structural biology now means that protein three-dimensional structure can be known before protein function, making methods for assigning homology via structure comparison of growing importance. Previous research has suggested that sequence similarity after structure-based alignment is one of the best discriminators of homology and often functional similarity. Here, we exploit this observation, together with a merger of protein structure and sequence databases, to predict distant homologous relationships. We use the Structural Classification of Proteins (SCOP) database to link sequence alignments from the SMART and Pfam databases. We thus provide new alignments that could not be constructed easily in the absence of known three-dimensional structures. We then extend the method of Murzin (1993b) to assign statistical significance to sequence identities found after structural alignment and thus suggest the best link between diverse sequence families. We find that several distantly related protein sequence families can be linked with confidence, showing the approach to be a means for inferring homologous relationships and thus possible functions when proteins are of known structure but of unknown function. The analysis also finds several new potential superfamilies, where inspection of the associated alignments and superimpositions reveals conservation of unusual structural features or co-location of conserved amino acids and bound substrates. We discuss implications for Structural Genomics initiatives and for improvements to sequence comparison methods.

Amino Acid Sequence↗

Systematic searches for molecular synapomorphies in model metazoan genomes give some support for Ecdysozoa after accounting for the idiosyncrasies of Caenorhabditis elegans.

There has been broad acceptance among evolutionary biologists of the Ecdysozoa hypothesis that, based principally on molecular phylogenetic studies of small and large subunit ribosomal RNA sequences, postulates a close relationship between molting taxa such as arthropods and nematodes. On the other hand, recent studies of as many as 100 additional genes do not support the Ecdysozoa hypothesis and instead favor the older Coelomata hypothesis that groups the coelomate arthropods with the coelomate vertebrates to the exclusion of the nematodes. Here, exploiting completely sequenced genomes, we examined this question using cladistic analyses of the phylogenetic distribution of 1712 orthologous genes and 2906 protein domain combinations; we found stronger support for the Coelomata hypothesis than for the Ecdysozoa hypothesis. However, although arrived at by considering very large data sets, we show that this conclusion is unreliable, biased toward grouping arthropods with chordates by systematic high rate of character loss in the nematode. When we addressed this problem, we found slightly more support for Ecdysozoa than for Coelomata. Our identification of this systematic bias even when using entire genomes has important implications for future phylogenetic studies. We conclude that the results from the intensively sampled ribosomal RNA genes supporting the Ecdysozoa hypothesis provide the most credible current estimates of metazoan phylogeny.

Animals↗