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Dunwell, J. M.

Publications and source records attributed to Dunwell, J. M..

4 recordsLinked to original sources

Comprehensive analysis of Arabidopsis thaliana DNA polymerase epsilon catalytic subunit A and B mutants - an insight into differentially expressed genes and protein-protein interactions

One of the main replicative enzymes in most eukaryotes, DNA polymerase {varepsilon} (POLE), is composed of four subunits, namely a single catalytic and three regulatory subunits. In Arabidopsis, the catalytic subunit of POLE is encoded by two genes: Arabidopsis thaliana DNA POLYMERASE EPSILON CATALYTIC SUBUNIT A (AtPOL2A) and B (AtPOL2B). Although studies have shown AtPOL2A to be involved in various biological processes, the role of AtPOL2B is unclear. Here, we investigated the transcriptomes of both atpol2a and atpol2b mutants, and the promoter sequences to provide a better insight into the targets of AtPOL2s at the molecular level. In the present study, leaf cDNA libraries of four AtPOL2 mutants (atpol2a-1 and atpol2b-1, -2 and - 3) were sequenced using the Illumina platform. Analysis of gene expression profiles identified a total of 198, 76, 141 and 67 differentially expressed genes in atpol2a-1, atpol2b-1, atpol2b-2 and atpol2b-3, respectively; the majority of pericentromeric transposable elements were transcriptionally active in atpol2a-1 as compared to atpol2b mutants and wild type. Protein-protein interaction network analysis and molecular docking identified three (CER1, RPA1E and AT5G60250) and two (PR1 and AT5G48490) proteins as potential interactors (cluster size > 60 and balanced score < -900) of AtPOL2A and AtPOL2B, respectively; Interestingly, these five proteins also showed a significant interaction between POLE catalytic subunit of Saccharomyces cerevisiae. Our in silico promoter analysis showed that the AtPOL2A promoter sequence is overrepresented with cis-acting regulatory elements (CREs) associate with cell cycle regulation, meristematic/reproductive tissue-specific pattern of expression and MYB protein recognition, whereas the AtPOL2B promoter sequence was mainly enriched with stress-responsive elements. The information provided here has led to the identification of targets of AtPOL2s at the molecular level and CREs putatively associated with the regulation of AtPOL2s. To our knowledge, this study provides the first comparative transcriptome profiling of single-gene mutants of AtPOL2s.

molecular biology↗

Identification of novel genetic regions associated with resistance to European canker in apple

Resistance to Neonectria ditissima, the fungus causing European canker in apple, was studied in a multiparental population of apple scions using several phenotyping methods. The studied population consists of individuals from multiple families connected through a common pedigree. The degree of disease of each individual in the population was assessed in three experiments: artificial inoculations of detached dormant shoots, potted trees in a glasshouse and in a replicated field experiment. The genetic basis of the differences in disease was studied using a pedigree-based analysis (PBA). Three quantitative trait loci (QTL), on linkage groups (LG) 6, 8 and 10 were identified in more than one of the phenotyping strategies. An additional four QTL, on LG 2, 5, 15 and 16 were only identified in the field experiment. The QTL on LG2 and 16 were further validated in a biparental population. QTL effect sizes were small to moderate with 4.3 to 19 % of variance explained by a single QTL. A subsequent analysis of QTL haplotypes revealed a dynamic response to this disease, in which the estimated effect of a haplotype varied over the field time-points. Two groups of QTL-haplotypes could be distinguished, one that displayed increased effect and one with a constant effect across time-points. These results suggest that there are different modes of control of N. ditissima in the early stages of infection compared to later time-points of disease development. It also shows that multiple QTL will need to be considered to improve resistance to European canker in apple breeding germplasm.

genetics↗

Genomic investigation of the strawberry pathogen Phytophthora fragariae indicates pathogenicity is determined by transcriptional variation in three key races

The oomycete Phytophthora fragariae is a highly destructive pathogen of cultivated strawberry (Fragaria x ananassa), causing the root rotting disease, red core. The host-pathogen interaction has a well described gene-for-gene resistance relationship, but to date neither candidate avirulence nor resistance genes have been identified. We sequenced a set of American, Canadian and UK isolates of known race type, along with three representatives of the closely related pathogen of the raspberry (Rubus idaeus), Phytophthora rubi, and found a clear population structure, with a high degree of nucleotide divergence seen between some race types and abundant private variation associated with race types 4 and 5. In contrast, between isolates defined as UK races 1, 2 & 3 (UK1-2-3) there was no evidence of gene loss or gain; or the presence of insertions/deletions (INDELs) or Single Nucleotide Polymorphisms (SNPs) within or in proximity to putative pathogenicity genes could be found associated with race variation. Transcriptomic analysis of representative UK1-2-3 isolates revealed abundant expression variation in key effector family genes associated with pathogen race; however, further long read sequencing did not reveal any long range polymorphisms to be associated with avirulence to race UK2 or UK3 resistance, suggesting either control in trans or other stable forms of epigenetic modification modulating gene expression. This work reveals the combined power of population resequencing to uncover race structure in pathosystems and in planta transcriptomic analysis to identify candidate avirulence genes. This work has implications for the identification of putative avirulence genes in the absence of associated expression data and points towards the need for detailed molecular characterisation of mechanisms of effector regulation and silencing in oomycete plant pathogens.

genomics↗

Bradyrhizobium diazoefficiens USDA 110-Glycine max interactome provides candidate proteins associated with symbiosis

Although the legume-rhizobium symbiosis is a most important biological process, there is a limited knowledge about the protein interaction network between host and symbiont. Using interolog and domain-based approaches, we constructed an inter-species protein interactome with 5115 protein-protein interactions between 2291 Glycine max and 290 Bradyrhizobium diazoefficiens USDA 110 proteins. The interactome was validated by expression pattern analysis in nodules, GO term semantic similarity, and co-expression analysis. One sub-network was further confirmed using luciferase complementation image assay. In the G. max-B. diazoefficiens interactome, bacterial proteins are mainly ion channel and transporters of carbohydrates and cations, while G. max proteins are mainly involved in the processes of metabolism, signal transduction, and transport. We also identified the top ten highly interacting proteins (hubs) for each of the two species. KEGG pathway analysis for each hub showed that two 14-3-3 proteins (SGF14g and SGF14k) and five heat shock proteins in G. max are possibly involved in symbiosis, and ten hubs in B. diazoefficiens may be important symbiotic effectors. Subnetwork analysis showed that 18 symbiosis-related SNARE proteins may play roles in regulating bacterial ion channels, and SGF14g and SGF14k possibly regulate the rhizobium dicarboxylate transport protein DctA. The predicted interactome and symbiosis proteins provide a valuable basis for understanding the molecular mechanism of root nodule symbiosis in soybean.

bioinformatics↗