Biology subjects

Gardiner, D.

Publications and source records attributed to Gardiner, D..

3 recordsLinked to original sources

bioRxiv2024

Intragenomic variants of a putative effector drive early-stage infection in a broad host-range rust fungus

Rust fungi are pathogens that impact plants of environmental, agricultural, cultural, and economic importance. Their mechanisms of pathogenicity are not well-understood but are likely governed by effectors, secreted proteins that manipulate host cellular processes to facilitate infection and suppress immune responses. We sought to understand how three effector candidates (EFC1, EFC2, and EFC3) expressed in the first stages of Austropuccinia psidii (myrtle rust) infection influence pathogenicity. We experimentally tested gene function through application of double-stranded RNA (dsRNA) and characterised the genomic landscape of putative effectors expressed during infection to assess whether putative effectors are needed for infection, and whether they are under selection pressure. One of the three screened candidates, EFC1, met our criteria of an effector in that it was predicted to be secreted, and was needed to cause but not maintain infection. We identified that this effector belongs to a gene family of intragenomic variants in tandem repeats flanked by transposable elements. Single nucleotide polymorphisms among these variants have signatures of non-neutral selection. This effector has predicted structural homology to a glycosaminoglycan-binding domain and may have a role in pectin or chitin-binding. We hypothesise that intragenomic variability in this family of effector genes facilitates host-range versatility in the A. psidii-Myrtaceae pathosystem.

microbiology↗

bioRxiv2021

Translational control of fungal gene expression during the wheat-Fusarium graminearum interaction

O_LITo date, translational regulation of key genes controlling infection-related processes in fungal pathogens during their interactions with plants has not been studied. Here, we employed ribosome profiling (ribo-seq) to study translational responses and how such responses are coordinated with transcriptional changes in the fungal pathogen Fusarium graminearum (Fg), which causes Fusarium head blight (FHB), a destructive disease of cereal crops worldwide. C_LIO_LITranscription and translation were not always coordinated with approximately 22% of Fg genes showing a discordant relationship during wheat infection. Nitrite reductase, which we show here as an important component of fungal virulence, is only regulated at the translational level in Fg. In addition, more than 1000 new open reading frames (ORFs), many of which are short and highly conserved, were identified in the Fg genome. C_LIO_LILike in higher eukaryotes, translation is controlled by upstream ORFs (uORFs) in Fg during infection. Similarly, miRNAs control both transcription and translation in Fg during wheat infection. However, Fgdicer2-dependent miRNAs do not have a significant effect on transcriptional gene expression at the global outset. C_LIO_LIThe ribo-seq study undertaken here for the first time in any fungal pathogen discovered novel insights about the biology of an important plant pathogen. C_LI

pathology↗

bioRxiv2016

LOCALIZER: subcellular localization prediction of plant and effector proteins in the plant cell

Pathogens are able to deliver effector proteins into plant cells to enable infection. Some effectors have been found to enter subcellular compartments by mimicking host targeting sequences. Although many computational methods exist to predict plant protein subcellular localization, they perform poorly for effectors. We introduce LOCALIZER for predicting plant and effector protein localization to chloroplasts, mitochondria, and nuclei. LOCALIZER shows greater prediction accuracy for chloroplast and mitochondrial targeting compared to other methods for 652 plant proteins. For 108 eukaryotic effectors, LOCALIZER outperforms other methods and predicts a previously unrecognized chloroplast transit peptide for the ToxA effector, which we show translocates into tobacco chloroplasts. Secretome-wide predictions and confocal microscopy reveal that rust fungi might have evolved multiple effectors that target chloroplasts or nuclei. LOCALIZER is the first method for predicting effector localisation in plants and is a valuable tool for prioritizing effector candidates for functional investigations. LOCALIZER is available at http://localizer.csiro.au/.

bioinformatics↗