Recipient organisationNational Institute of Agricultural Botany
Funding£1.5M
PeriodAug 2020 — Mar 2024
In plain English
AI plain-English summary
Bacteria living harmlessly on cherry leaves may be a hidden reservoir of future crop diseases. This matters because bacterial plant pathogens are notoriously difficult to control once they cause disease. The researchers have found that many strains of *Pseudomonas syringae* — a bacterial species complex that infects over 300 plant species — live on the surface of healthy cherry leaves without causing symptoms. These epiphytic populations vary widely across UK orchards and may carry genes that allow them to adapt to new hosts. The team does not know whether these surface bacteria flow between wild and cultivated cherry trees, or whether agricultural practices such as nitrogen fertiliser and polytunnel covers shape their populations. If the research succeeds, it could transform how growers predict and manage disease outbreaks. Instead of waiting for symptoms to appear, farmers might use genome sequencing of surface bacteria to identify which strains pose a future threat. The project also tests whether machine learning can predict a bacterium’s host range from its DNA sequence alone — something currently impossible without direct pathogenicity tests. This is primarily fundamental science into how bacteria adapt to hosts, but understanding the tempo and mechanism of host-range expansion could eventually underpin smarter, earlier interventions in crop protection.
View original technical description
Bacterial phytopathogens are hard to control and therefore pose a high risk to crop production and the wider natural environment. In order to mitigate that risk, we propose multidisciplinary research into the tempo at which and the mechanism by which bacteria adapt to hosts. Our findings will support new developments in disease management and control strategies. The host range of a pathogen encompasses all the species it can successfully infect and colonise. It is hypothesised that plant species outside this range mount an effective non-host resistance response, preventing colonisation. Plant pathologists traditionally define some pathogens as having a wide host range (generalists) whilst others are limited to one or a few hosts (specialists), although a continuum between these two life strategies probably exists. Our work focuses on the ubiquitous bacterial species complex Pseudomonas syringae (Ps), lineages of which are pathogens of over 300 different plant species. At least eight lineages of Ps are known to cause bacterial canker of cherry trees including the recognised pathogens Ps pv. morsprunorum and Ps pv. syringae. From our preliminary work, sampling from the leaf and shoot surface across cherry orchards around the UK, we have shown that there are large regional variations in Ps populations. We have found that, in addition to the known pathogens, many additional lineages of Pseudomonas (which have the potential to be pathogenic) are present on non-diseased cherry leaves and such strains are extremely widespread across orchards and regions. These epiphytic (surface) populations of pseudomonads may either be donors or repositories of bacterial genes predicted to have a key role in host adaptation to Prunus. We have shown that there is significant variation in resistance to canker within cherry cultivars and also between genotypes of wild cherry. What we do not know is whether or not the epiphytic populations of Ps are similar or variable between cultivated and wild cherry hosts, or if there is a flow of bacterial strains between wild and cultivated cherry. In this multidisciplinary research proposal, we will extend our initial experiments to study the ecological niches occupied by Ps. Using repeated sampling and genome sequencing of isolates from cultivated crops and surrounding plant species, we will determine if epiphytic Ps populations, some of which contain known pathogens, are stable over time and space. In controlled field experiments we will also ask whether agronomic interventions, such as nitrogen rates and polytunnel covering of crops also play a role in shaping bacterial populations. Our previous work has shown that key genes have been transferred between Pseudomonas lineages by phages and plasmids. In order to explore the molecular factors that may affect virulence and lead to new disease outbreaks, we will carry out tests to determine whether epiphytic lineages have 'pathogenic potential' and study the mechanisms of host range expansion through a range of directed evolution experiments. Our analysis will include controlled assessment of gene exchange between bacteria through phage infection. Finally, we will explore whether machine learning approaches can predict the host range of a Pseudomonas isolate with any degree of certainty from its genome sequence alone- a feat that is currently impossible with our current knowledge base, without direct pathogenicity testing upon a host. These predictions will be tested and validated using existing datasets but also on new datasets gathered as part of this work.
Bo Li (Co-Investigator)Eleftheria Stavridou (Co-Investigator)John Mansfield (Co-Investigator)Michelle Hulin (Co-Investigator)Richard Harrison (Principal Investigator)Xiangming Xu (Principal Investigator)
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