scholarly journals Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale

mSystems ◽  
2021 ◽  
Author(s):  
Kaitlin M. Gold

Plant disease threatens the environmental and financial sustainability of crop production, causing $220 billion in annual losses. The dire threat disease poses to modern agriculture demands tools for better detection and monitoring to prevent crop loss and input waste.

2013 ◽  
Vol 29 (4) ◽  
pp. 233-240 ◽  
Author(s):  
Lesley A. Boyd ◽  
Christopher Ridout ◽  
Donal M. O'Sullivan ◽  
Jan E. Leach ◽  
Hei Leung

2019 ◽  
Author(s):  
Paula Maria Moreira Martins ◽  
Andre da Silva Xavier ◽  
Marco Aurelio Takita ◽  
Poliane Alfemas-Zerbini ◽  
Alessandra Alves de Souza

AbstractXanthomonas is one of the most important bacterial genera of plant pathogens causing economic losses in crop production worldwide. Despite its importance, many aspects of basic Xanthomonas biology remain unknown or understudied. Here, we present the first genus-wide analysis of CRISPR-Cas in Xanthomonas and describe specific aspects of its occurrence. Our results show that Xanthomonas genomes harbour subtype I-C and I-F CRISPR-Cas systems and that species belonging to distantly Xanthomonas-related genera in Xanthomonadaceae exhibit the same configuration of coexistence of the I-C and I-F CRISPR subtypes. Additionally, phylogenetic analysis using Cas proteins indicated that the CRISPR systems present in Xanthomonas spp. are the result of an ancient acquisition. Despite the close phylogeny of these systems, they present significant variation in both the number and targets of spacers. An interesting characteristic observed in this study was that the identified plasmid-targeting spacers were always driven toward plasmids found in other Xanthomonas strains, indicating that CRISPR-Cas systems could be very effective in coping with plasmidial infections. Since many effectors are plasmid encoded, CRISPR-Cas might be driving specific characteristics of plant-pathogen interactions.


2018 ◽  
Author(s):  
Rachel F. Fordyce ◽  
Nicole E. Soltis ◽  
Celine Caseys ◽  
Raoni Gwinner ◽  
Jason A. Corwin ◽  
...  

AbstractPlant resistance to generalist pathogens with broad host ranges, such as Botrytis cinerea, is typically quantitative and highly polygenic. Recent studies have begun to elucidate the molecular genetic basis underpinning plant-pathogen interactions using commonly measured traits including lesion size and/or pathogen biomass. Yet with the advent of digital imaging and phenomics, there are a large number of additional resistance traits available to study quantitative resistance. In this study, we used high-throughput digital imaging analysis to investigate previously uncharacterized visual traits of plant-pathogen interactions related disease resistance using the Arabidopsis thaliana/Botrytis cinerea pathosystem. Using a large collection of 75 visual traits collected from every lesion, we focused on lesion color, lesion shape, and lesion size, to test how these aspects of the interaction are genetically related. Using genome wide association (GWA) mapping in A. thaliana, we show that lesion color and shape are genetically separable traits associated with plant-disease resistance. Using defined mutants in 23 candidate genes from the GWA mapping, we could identify and show that novel loci associated with each different plant-pathogen interaction trait, which expands our understanding of the functional mechanisms driving plant disease resistance.SummaryDigital imaging allows the identification of genes controlling novel lesion traits.


Author(s):  
Imants Zarembo ◽  
Artis Teilāns ◽  
Toms Bartulsons ◽  
Olga Sokolova ◽  
Lienīte Litavniece ◽  
...  

An important issue in horticulture is ensuring plant disease, such as scab, prevention and treatment. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area [1]) and economically important fruit crops specified worldwide and in Latvia. Scab diseases caused by ascomycetous fungi Venturia inaequalis and V.pyrina are economically the most important diseases worldwide. Research projects have produced research data covering various aspects of plant-pathogen interactions, but there is no internal linkage analysis, as well as implementation of other types of data (such as environmental and meteorological data, etc.). Establishing such a data integration system would allow the identification of new regularities in plant-pathogen interactions, and provide mechanisms for disease control decisions. Semantic analysis is one of information technology approaches to finding relationships in data. The product of analysis is ontology. There are plant disease ontologies which provide classification of diseases and describe their reasons. However, there is no ontology which describes a specific plant and relations among its farming parameters and disease probability. Such an ontology for apple and pear scab is presented in this paper. The constructed ontology can be applied to develop guidelines or digital expert systems. 


2021 ◽  
Author(s):  
Richard Breia ◽  
Artur Conde ◽  
Hélder Badim ◽  
Ana Margarida Fortes ◽  
Hernâni Gerós ◽  
...  

Abstract Sugars Will Eventually be Exported Transporters (SWEETs) have important roles in numerous physiological mechanisms where sugar efflux is critical, including phloem loading, nectar secretion, seed nutrient filling, among other less expected functions. They mediate low affinity and high capacity transport, and in angiosperms this family is composed by 20 paralogs on average. As SWEETs facilitate the efflux of sugars, they are highly susceptible to hijacking by pathogens, making them central players in plant–pathogen interaction. For instance, several species from the Xanthomonas genus are able to upregulate the transcription of SWEET transporters in rice (Oryza sativa), upon the secretion of transcription-activator-like effectors. Other pathogens, such as Botrytis cinerea or Erysiphe necator, are also capable of increasing SWEET expression. However, the opposite behavior has been observed in some cases, as overexpression of the tonoplast AtSWEET2 during Pythium irregulare infection restricted sugar availability to the pathogen, rendering plants more resistant. Therefore, a clear-cut role for SWEET transporters during plant–pathogen interactions has so far been difficult to define, as the metabolic signatures and their regulatory nodes, which decide the susceptibility or resistance responses, remain poorly understood. This fuels the still ongoing scientific question: what roles can SWEETs play during plant–pathogen interaction? Likewise, the roles of SWEET transporters in response to abiotic stresses are little understood. Here, in addition to their relevance in biotic stress, we also provide a small glimpse of SWEETs importance during plant abiotic stress, and briefly debate their importance in the particular case of grapevine (Vitis vinifera) due to its socioeconomic impact.


Author(s):  
Daniel P. Roberts ◽  
Nicholas M. Short ◽  
James Sill ◽  
Dilip K. Lakshman ◽  
Xiaojia Hu ◽  
...  

AbstractThe agricultural community is confronted with dual challenges; increasing production of nutritionally dense food and decreasing the impacts of these crop production systems on the land, water, and climate. Control of plant pathogens will figure prominently in meeting these challenges as plant diseases cause significant yield and economic losses to crops responsible for feeding a large portion of the world population. New approaches and technologies to enhance sustainability of crop production systems and, importantly, plant disease control need to be developed and adopted. By leveraging advanced geoinformatic techniques, advances in computing and sensing infrastructure (e.g., cloud-based, big data-driven applications) will aid in the monitoring and management of pesticides and biologicals, such as cover crops and beneficial microbes, to reduce the impact of plant disease control and cropping systems on the environment. This includes geospatial tools being developed to aid the farmer in managing cropping system and disease management strategies that are more sustainable but increasingly complex. Geoinformatics and cloud-based, big data-driven applications are also being enlisted to speed up crop germplasm improvement; crop germplasm that has enhanced tolerance to pathogens and abiotic stress and is in tune with different cropping systems and environmental conditions is needed. Finally, advanced geoinformatic techniques and advances in computing infrastructure allow a more collaborative framework amongst scientists, policymakers, and the agricultural community to speed the development, transfer, and adoption of these sustainable technologies.


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