Skip to content
#protein folding Open access

Diverse structural features and putative functional roles of early-stage Austropuccinia psidii effector proteins

Sep 2026 · Australasian Plant Pathology · Vol 55 · 0 citations · 87 references
Fungal and yeast genetics research

TL;DR

Successive genome improvements reveal that while AP5292 and AP143 remain conserved, AP1260 and especially AP10948 have expanded into highly divergent multi-haplotype families, with AP10948 now comprising 25 tandemly duplicated variants.

Abstract

The fungus Austropuccinia psidii is an invasive pathogen of myrtaceous plants. During infection, A. psidii uses ‘effector’ proteins to manipulate various host plant cellular processes. Four effector proteins (AP1260, AP5292, AP10948, and AP143) have been identified as being important during the first 24 h of infection. However, there are no data on the molecular role these effectors play during infection. Here we report a bioinformatic analysis of these candidate effector proteins to generate experimental hypotheses. Successive genome improvements reveal that while AP5292 and AP143 remain conserved, AP1260 and especially AP10948 have expanded into highly divergent multi-haplotype families, with AP10948 now comprising 25 tandemly duplicated variants. Sequence homology searches show that all effectors exhibit low sequence homology across rust fungi and AP10948 appears to be unique to A. psidii. The effectors contain secretion signals, typical of effectors, and are predicted cytoplasmic effectors, functioning within the plant cell. Structural modelling predicts they contain regions of disorder, but all except AP10948 have folded regions. AP1260 shares weak structural similarity with N-acetyl-D-glucosamine binding folds, and AP5292 with MAX/ToxB-like fungal effectors. AP10948 has no meaningful structural matches. AP143 has significant structural homology to kiwellins, papain inhibitors, expansins, and cellulose-binding domains, suggesting potential roles in cell-wall interaction or protease inhibition. Protein physicochemical properties of these effectors are reported, which are useful for future laboratory work. Insights from these bioinformatic analyses provide a basis for further biophysical research into their true roles and functions, clarifying how A. psidii can infect its wide host and geographical range.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.