Biology subjects

Blundell, C.

Publications and source records attributed to Blundell, C..

7 recordsLinked to original sources

bioRxiv2026

EffectorGeneP: accurate gene annotation in pathogen genomes from infection transcriptomes

Accurate gene annotation is crucial for inference of biological knowledge from genomes. However, non-canonical genes such as orphan or single-exon genes as well as those residing in rapidly evolving regions are routinely dismissed in annotation pipelines. In filamentous pathogen genomes, this disproportionately affects the annotation of genes encoding disease-promoting effector proteins. We introduce EffectorGeneP, a machine learning tool that self-trains on transcript data, predicts the most likely coding sequence from transcripts and effectively separates bona fide genes from transcriptional noise. EffectorGeneP annotates over 95% of known effectors correctly, while other state-of-the-art methods annotate 15%-78%. We show that EffectorGeneP expands the predicted secretome of pathogens by over 50% and that high-throughput screening of an effector library in plant protoplasts uncovers the previously poorly annotated AvrSr26 gene family in the wheat stem rust fungus. EffectorGeneP decodes genomes at unprecedented resolution and will enable the study of biological processes in important pathogen species.

microbiology↗

bioRxiv2024

A wheat tandem kinase sensor activates an NLR helper to trigger immunity

Most plant resistance genes encode membrane-anchored receptor-like proteins or intracellular nucleotide-binding and leucine-rich repeat (NLR) receptors. In wheat and barley, tandem kinases (TKs) have emerged as a new class of resistance determinants. To understand the modus operandi of the wheat stem rust resistance protein Sr62TK, we identified two genetic interactors-- a host gene required for Sr62TK function and the corresponding fungal AvrSr62 effector. We discovered that the SR62 locus consists of a digenic module encoding Sr62TK and an NLR (Sr62NLR). AvrSr62 binds to the N-terminal kinase of Sr62TK. This triggers displacement of the C-terminal kinase allowing it to recruit Sr62NLR for activation of immune responses. Understanding the mechanism of this two-component resistance complex will help engineering and breeding for durable resistance.

plant biology↗

bioRxiv2023

AvrSr27 is a zinc-bound effector with a modular structure important for immune recognition

Stem rust, caused by the fungal pathogen Puccinia graminis f. sp.tritici (Pgt) is a major threat for wheat production and global food security. Central to the success of Pgt is the secretion of proteinaceous effectors that promote infection and colonisation, while immunity in wheat is driven by receptor-mediated recognition of these effectors resulting in pathogen avirulence. Here, we report the crystal structure of the cysteine-rich effector AvrSr27, the third experimentally derived structure of a Pgt effector. The AvrSr27 structure reveals a novel {beta}-strand rich modular fold consisting of two structurally similar domains and confirms the poor prediction we obtained from the AlphaFold2-derived model. The highly prevalent cysteine residues within the protein facilitate the co-ordination of 4 zinc molecules. Utilising the structure, we show that the N-terminal domain of AvrSr27 is sufficient for immune recognition and interaction by Sr27. The 7-cys motif sequence in each AvrSr27 domain, which facilitates zinc binding, was also found in two haustorially-expressed, structurally homologous Pgt proteins. Remarkably, despite relatively low sequence identity, we show that these proteins can associate with Sr27 and trigger cell death in heterologous systems and wheat protoplasts, albeit weaker than AvrSr27. Collectively, our findings have important implications for the field embarking on bespoke engineering of immunity receptors as solutions to plant disease.

plant biology↗

bioRxiv2023

Pooled effector library screening in protoplasts rapidly identifies novel Avr genes

Crop breeding for durable disease resistance is challenging due to the rapid evolution of pathogen virulence. While progress in resistance (R) gene cloning and stacking has accelerated in recent years 1-3, the identification of corresponding avirulence (Avr) genes in many pathogens is hampered by the lack of high-throughput screening options. To address this technology gap, we developed a platform for pooled library screening in plant protoplasts for rapid identification of interacting R/Avr pairs. We validated this platform by isolating known and novel Avr genes from wheat stem rust (Puccinia graminis f. sp. tritici) by screening a designed library of putative effectors against individual R genes. Rapid Avr gene identification provides molecular tools to understand and track pathogen virulence evolution by genotype surveillance and optimise R gene deployment and stacking strategies. This screening platform is broadly applicable to many crop pathogens, whilst also adaptable for screening genes involved in other protoplast-selectable traits.

plant biology↗

bioRxiv2020

The Spatial Memory Pipeline: a model of egocentric to allocentric understanding in mammalian brains

In the mammalian brain, allocentric representations support efficient self-location and flexible navigation. A number of distinct populations of these spatial responses have been identified but no unified function has been shown to account for their emergence. Here we developed a network, trained with a simple predictive objective, that was capable of mapping egocentric information into an allocentric spatial reference frame. The prediction of visual inputs was sufficient to drive the appearance of spatial representations resembling those observed in rodents: head direction, boundary vector, and place cells, along with the recently discovered egocentric boundary cells, suggesting predictive coding as a principle for their emergence in animals. Strikingly, the network learned a solution for head direction tracking and stabilisation convergent with known biological connectivity. Moreover, like mammalian representations, responses were robust to environmental manipulations, including exposure to novel settings. In contrast to existing reinforcement learning approaches, agents equipped with this network were able to flexibly reuse learnt behaviours --adapting rapidly to unfamiliar environments. Thus, our results indicate that these representations, derived from a simple egocentric predictive framework, form an efficient basis-set for cognitive mapping.

neuroscience↗

bioRxiv2019

A versatile high throughput screening platform for plant metabolic engineering highlights the major role of ABI3 in lipid metabolism regulation

Traditional functional genetic studies in crops are time-consuming, complicated and cannot be readily scaled up. The reason is that mutant or transformed crops need to be generated to study the effect of gene modifications on specific traits of interest. However, many crop species have a complex genome and a long generation time. As a result, it usually takes several months to over a year to obtain desired mutants or transgenic plants, which represents a significant bottleneck in the development of new crop varieties. To overcome this major issue, we are currently establishing a versatile plant genetic screening platform, amenable to high throughput screening in almost any crop species, with a unique workflow. This platform combines protoplast transformation and fluorescence-activated cell sorting. Here we show that tobacco protoplasts can accumulate high levels of lipids if transiently transformed with genes involved in lipid biosynthesis and can be sorted based on lipid content. Hence, protoplasts can be used as a predictive tool for plant lipid engineering. Using this newly established strategy, we demonstrate the major role of ABI3 in plant lipid accumulation. We anticipate that this workflow can be applied to numerous highly valuable metabolic traits other than storage lipid accumulation. This new strategy represents a significant step towards screening complex genetic libraries, in a single experiment and in a matter of days, as opposed to years by conventional means.

plant biology↗

bioRxiv2017

Confidence modulates exploration and exploitation in value-based learning

Uncertainty is ubiquitous in cognitive processing, which is why agents require a precise handle on how to deal with the noise inherent in their mental operations. Previous research suggests that people possess a remarkable ability to track and report uncertainty, often in the form of confidence judgments. Here, we argue that humans use uncertainty inherent in their representations of value beliefs to arbitrate between exploration and exploitation. Such uncertainty is reflected in explicit confidence judgments. Using a novel variant of a multi-armed bandit paradigm, we studied how beliefs were formed and how uncertainty in the encoding of these value beliefs (belief confidence) evolved over time. We found that people used uncertainty to arbitrate between exploration and exploitation, reflected in a higher tendency towards exploration when their confidence in their value representations was low. We furthermore found that value uncertainty can be linked to frameworks of metacognition in decision making in two ways. First, belief confidence drives decision confidence--that is peoples evaluation of their own choices. Second, individuals with higher metacognitive insight into their choices were also better at tracing the uncertainty in their environment. Together, these findings argue that such uncertainty representations play a key role in the context of cognitive control.

neuroscience↗