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Leighton Pritchard

Publications and source records attributed to Leighton Pritchard.

8 recordsLinked to original sources

Comparative genomics reveals what makes an enterobacterial plant pathogen.

The bacterial family Enterobacteriaceae contains some of the most devastating human and animal pathogens, including Escherichia coli, Salmonella enterica and species of Yersinia and Shigella. These are among the best-studied of any organisms, yet there is much to be learned about the nature and evolution of interactions with their hosts and with the wider environment. Comparative and functional genomics have fundamentally improved our understanding of their modes of adaptation to different ecological niches and the genes that determine their pathogenicity. In addition to animal pathogens, Enterobacteriaceae include important plant pathogens, such as Erwinia carotovora subsp. atroseptica (Eca), the first plant-pathogenic enterobacterium to be sequenced. This review focuses on genomic comparisons between Eca and other enterobacteria, with particular emphasis on the differences that exemplify or explain the plant-associated lifestyle(s) of Eca. Horizontal gene transfer in Eca may directly have led to the acquisition of a number of determinants that mediate its interactions, pathogenic or otherwise, with plants, offering a glimpse into its evolutionary divergence from animal-pathogenic enterobacteria.

Enterobacteriaceae↗

GenomeDiagram: a python package for the visualization of large-scale genomic data.

UNLABELLED: We present GenomeDiagram, a flexible, open-source Python module for the visualization of large-scale genomic, comparative genomic and other data with reference to a single chromosome or other biological sequence. GenomeDiagram may be used to generate publication-quality vector graphics, rastered images and in-line streamed graphics for webpages. The package integrates with datatypes from the BioPython project, and is available for Windows, Linux and Mac OS X systems. AVAILABILITY: GenomeDiagram is freely available as source code (under GNU Public License) at http://bioinf.scri.ac.uk/lp/programs.html, and requires Python 2.3 or higher, and recent versions of the ReportLab and BioPython packages. SUPPLEMENTARY INFORMATION: A user manual, example code and images are available at http://bioinf.scri.ac.uk/lp/programs.html.

Chromosome Mapping↗

Trafficking arms: oomycete effectors enter host plant cells.

Oomycetes cause devastating plant diseases of global importance, yet little is known about the molecular basis of their pathogenicity. Recently, the first oomycete effector genes with cultivar-specific avirulence (AVR) functions were identified. Evidence of diversifying selection in these genes and their cognate plant host resistance genes suggests a molecular "arms race" as plants and oomycetes attempt to achieve and evade detection, respectively. AVR proteins from Hyaloperonospora parasitica and Phytophthora infestans are detected in the plant host cytoplasm, consistent with the hypothesis that oomycetes, as is the case with bacteria and fungi, actively deliver effectors inside host cells. The RXLR amino acid motif, which is present in these AVR proteins and other secreted oomycete proteins, is similar to a host-cell-targeting signal in virulence proteins of malaria parasites (Plasmodium species), suggesting a conserved role in pathogenicity.

Algal Proteins↗

A general model of error-prone PCR.

In this paper, we generalize a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation of the model to these conditions improves the correspondence to observed and expected behaviours of PCR, and restricts the extent to which the model may explore sequence space for a prescribed set of parameters. Error-prone PCR in realistic reaction conditions is predicted to be less effective at generating grossly divergent sequences than the original model. The estimate of mutation rate per cycle by sampling sequences from an in vitro PCR experiment is correspondingly affected by the choice of model and parameters.

Animals↗

An ancestral oomycete locus contains late blight avirulence gene Avr3a, encoding a protein that is recognized in the host cytoplasm.

The oomycete Phytophthora infestans causes late blight, the potato disease that precipitated the Irish famines in 1846 and 1847. It represents a reemerging threat to potato production and is one of >70 species that are arguably the most devastating pathogens of dicotyledonous plants. Nevertheless, little is known about the molecular bases of pathogenicity in these algae-like organisms or of avirulence molecules that are perceived by host defenses. Disease resistance alleles, products of which recognize corresponding avirulence molecules in the pathogen, have been introgressed into the cultivated potato from a wild species, Solanum demissum, and R1 and R3a have been identified. We used association genetics to identify Avr3a and show that it encodes a protein that is recognized in the host cytoplasm, where it triggers R3a-dependent cell death. Avr3a resides in a region of the P. infestans genome that is colinear with the locus containing avirulence gene ATR1(NdWsB) in Hyaloperonospora parasitica, an oomycete pathogen of Arabidopsis. Remarkably, distances between conserved genes in these avirulence loci were often similar, despite intervening genomic variation. We suggest that Avr3a has undergone gene duplication and that an allele evading recognition by R3a arose under positive selection.

Agrobacterium tumefaciens↗

Families of short interspersed elements in the genome of the oomycete plant pathogen, Phytophthora infestans.

The first known families of tRNA-related short interspersed elements (SINEs) in the oomycetes were identified by exploiting the genomic DNA sequence resources for the potato late blight pathogen, Phytophthora infestans. Fifteen families of tRNA-related SINEs, as well as predicted tRNAs, and other possible RNA polymerase III-transcribed sequences were identified. The size of individual elements ranges from 101 to 392 bp, representing sequences present from low (1) to highly abundant (over 2000) copy number in the P. infestans genome, based on quantitative PCR analysis. Putative short direct repeat sequences (6-14 bp) flanking the elements were also identified for eight of the SINEs. Predicted SINEs were named in a series prefixed infSINE (for infestans-SINE). Two SINEs were apparently present as multimers of tRNA-related units; four copies of a related unit for infSINEr, and two unrelated units for infSINEz. Two SINEs, infSINEh and infSINEi, were typically located within 400 bp of each other. These were also the only two elements identified as being actively transcribed in the mycelial stage of P. infestans by RT-PCR. It is possible that infSINEh and infSINEi represent active retrotransposons in P. infestans. Based on the quantitative PCR estimates of copy number for all of the elements identified, tRNA-related SINEs were estimated to comprise 0.3% of the 250 Mb P. infestans genome. InfSINE-related sequences were found to occur in species throughout the genus Phytophthora. However, seven elements were shown to be exclusive to P. infestans.

Base Sequence↗

Simple intrasequence difference (SID) analysis: an original method to highlight and rank sub-structural interfaces in protein folds. Application to the folds of bovine pancreatic trypsin inhibitor, phospholipase A2, chymotrypsin and carboxypeptidase A.

We present Simple Intrasequence Difference (SID) analysis, a novel bioinformatic technique designed to help comprehend the properties of protein fold topologies. The analysis grades numerically every residue position in a given protein 3D structure according to the topological situation of the position in the folded chain. This results in an expression of the potential contribution of each residue position and its vicinity towards the integrity of the molecular conformation. Contiguous highly graded residues delineate the sub-structural interfaces that arise from the presence within the molecular fold of discrete domains and sub-domains. This comprehensive rendering of the internal arrangement of chain interfacing helps predict the potential for site-specific inductions (e.g. via mutations or ligand binding) of conformational change in the fold. Whereas SID analysis of single folds can convey an idea of the basic potential for topological adjustment in the protein family, comparative SID analysis of related folds focuses attention on those areas of the family fold where evolutionary changes, activation events and ligand binding have had the most topological impact. For demonstration, SID analysis is applied to the folds of pancreatic trypsin inhibitor (Kunitz), phospholipase A(2), chymotrypsin and carboxypeptidase A. We find that many of the potentially vulnerable sub-structural interfaces tend to be protected in the fold interior, in many cases stabilised by disulfide bridges spanning the interface. However, the most prominent interfaces tend to be externally accessible, without remedial stabilisation by disulfide bridges. These latter interfaces are associated so closely with the known functional sites that alterations to the interfacial juxtapositions should influence recognition and catalytic behaviour directly. This shows how side chain mutations, chemical modifications and binding events remote from the sites can nevertheless adjust, via interfacial realignment, the conformations and emergent properties of the sites. The close association also provides clear opportunities for interfacial rearrangements to follow intermolecular recognition events in the sites, facilitating translation of the binding into adjustment of the molecular conformation in areas distant from the sites. As a direct consequence of the topological arrangements, a large proportion of the molecular structure has the capacity to shape the character of the functional sites and, conversely, binding at these sites has the potential to radiate influence to the rest of the molecule. For the enzymes considered, the evidence is consistent with the possibility that primary and secondary binding by the substrate enhances catalytic efficiency by imposing conformational change upon the catalytic centre via adjustments to the fold. This influence may be expressed as favourable adjustment of the catalytic geometry, transition state ensemble, energy propagation pathway, or as a physical strain exerted on the substrate bond to be cleaved. The scale of the adjustments, and their importance to the mechanisms, may have been seriously underestimated.

Amino Acid Sequence↗

Schemes of flux control in a model of Saccharomyces cerevisiae glycolysis.

We used parameter scanning to emulate changes to the limiting rate for steps in a fitted model of glucose-derepressed yeast glycolysis. Three flux-control regimes were observed, two of which were under the dominant control of hexose transport, in accordance with various experimental studies and other model predictions. A third control regime in which phosphofructokinase exerted dominant glycolytic flux control was also found, but it appeared to be physiologically unreachable by this model, and all realistically obtainable flux control regimes featured hexose transport as a step involving high flux control.

Adenosine Triphosphate↗