Study of natural diversity in response to a key pathogenicity regulator of Ralstonia solanacearum reveals new susceptibility genes in Arabidopsis thaliana

Recent advances in immuno-based methods for the detection of Ralstonia solanacearum

Ralstonia solanacearum (RS) is a widely recognized phytopathogenic bacterium which is responsible for causing devastating losses in a wide range of economically significant crops. Timely and accurate detection of this pathogen is pivotal to implementing effective disease management strategies and preventing crop losses. This review provides a comprehensive overview of recent advances in immuno-based detection methods for RS. The review begins by introducing RS, highlighting its destructive potential and the need for point-of-care detection techniques. Subsequently, it explores traditional detection methods and their limitations, emphasizing the need for innovative approaches. The main focus of this review is on immuno-based detection methods and it discusses recent advancements in serological detection techniques. Furthermore, the review sheds light on the challenges and prospects of immuno-based detection of RS. It emphasizes the importance of developing rapid, field-deployable assays that can be used by farmers and researchers alike. In conclusion, this review provides valuable insights into the recent advances in immuno-based detection methods for RS.

Genome wide association study of Arabidopsis seed mucilage layers at a regional scale

The myxospermous species Arabidopsis thaliana extrudes a polysaccharidic mucilage from the seed coat epidermis during imbibition. The whole seed mucilage can be divided into a seed-adherent layer and a fully soluble layer, both layers presenting natural genetic variations. The adherent mucilage is variable in size and composition, while the soluble mucilage is variable in composition and physical properties. Studies reporting both the genetic architecture and the putative selective agents acting on this natural genetic variation are scarce. In this study, we set up a Genome Wide Association study (GWAS) based on 424 natural accessions collected from 166 natural populations of A. thaliana located south-west of France and previously characterized for a very important number of abiotic and biotic factors. We identified an extensive genetic variation for both mucilage layers. The adherent mucilage was mainly related to precipitation and temperature whereas the non-adherent mucilage was unrelated to any environmental factors. By combining a hierarchical Bayesian model with a local score approach, we identified 55 and 28 candidate genes, corresponding to 26 and 10 QTLs for the adherent and non-adherent mucilages, respectively. Putative or characterized function and expression data available in the literature were used to filter the candidate genes. Only one gene among our set of candidate genes was already described as a seed mucilage actor, leaving a large set of new candidates putatively implicated inseed mucilage synthesis or release. The present study lay out foundation to understand the influence of regional ecological factors acting on seed mucilage in A. thaliana.

Genetic architecture of the response of Arabidopsis thaliana to a native plant-growth-promoting bacterial strain

By improving plant nutrition and alleviating abiotic and biotic stresses, plant growth-promoting bacteria (PGPB) can help to develop eco-friendly and sustainable agricultural practices. Besides climatic conditions, soil conditions, and microbe-microbe interactions, the host genotype influences the effectiveness of PGPB. Yet, most GWAS conducted to characterize the genetic architecture of response to PGPB are based on non-native interactions between a host plant and PGPB strains isolated from the belowground compartment of other plants. In this study, a GWAS was set up under in vitro conditions to describe the genetic architecture of the response of Arabidopsis thaliana to the PGPB Pseudomonas siliginis, by inoculating seeds of 162 natural accessions from the southwest of France with one strain isolated from the leaf compartment in the same geographical region. Strong genetic variation of plant growth response to this native PGPB was observed at a regional scale, with the strain having a positive effect on the vegetative growth of small plants and a negative effect on the vegetative growth of large plants. The polygenic genetic architecture underlying this negative trade-off showed suggestive signatures of local adaptation. The main eco-evolutionary relevant candidate genes are involved in seed and root development.

An atypical NLR gene confers bacterial wilt susceptibility in Arabidopsis

Quantitative disease resistance (QDR) remains the most prevalent form of plant resistance in crop fields and wild habitats. Genome-wide association studies (GWAS) have proved to be successful in deciphering the quantitative genetic basis of complex traits such as QDR. To unravel the genetics of QDR to the devastating worldwide bacterial pathogen Ralstonia solanacearum, we performed a GWAS by challenging a highly polymorphic local mapping population of Arabidopsis thaliana with four R. solanacearum type III effector (T3E) mutants, identified as key pathogenicity determinants after a first screen on an A. thaliana core collection of 25 accessions. Although most quantitative trait loci (QTLs) were highly specific to the identity of the T3E mutant (ripAC, ripAG, ripAQ, and ripU), we finely mapped a common QTL located on a cluster of nucleotide-binding domain and leucine-rich repeat (NLR) genes that exhibited structural variation. We functionally validated one of these NLRs as a susceptibility factor in response to R. solanacearum, named it Bacterial Wilt Susceptibility 1 (BWS1), and cloned two alleles that conferred contrasting levels of QDR. Further characterization indicated that expression of BWS1 leads to suppression of immunity triggered by different R. solanacearum effectors. In addition, we showed a direct interaction between BWS1 and RipAC T3E, and BWS1 and SUPPRESSOR OF G2 ALLELE OF skp1 (SGT1b), the latter interaction being suppressed by RipAC. Together, our results highlight a putative role for BWS1 as a quantitative susceptibility factor directly targeted by the T3E RipAC, mediating negative regulation of the SGT1-dependent immune response.

Ralstonia solanacearum: An Arsenal of Virulence Strategies and Prospects for Resistance

The group of strains constituting the Ralstonia solanacearum species complex (RSSC) is a prominent model for the study of plant-pathogenic bacteria because of its impact on agriculture, owing to its wide host range, worldwide distribution, and long persistence in the environment. RSSC strains have led to numerous studies aimed at deciphering the molecular bases of virulence, and many biological functions and mechanisms have been described to contribute to host infection and pathogenesis. In this review, we put into perspective recent advances in our understanding of virulence in RSSC strains, both in terms of the inventory of functions that participate in this process and their evolutionary dynamics. We also present the different strategies that have been developed to combat these pathogenic strains through biological control, antimicrobial agents, plant genetics, or microbiota engineering.

The design of mapping populations: Impacts of geographic scale on genetic architecture and mapping efficacy for defense and immunity

Genome-wide association studies (GWAS) have yielded tremendous insight into the genetic architecture of trait variation. However, the collections of loci they uncover are far from exhaustive. As many of the complicating factors that confound or limit the efficacy of GWAS are exaggerated over broad geographic scales, a shift toward more analyses using mapping panels sampled from narrow geographic localities ("local" populations) could provide novel, complementary insights. Here, we present an overview of the major complicating factors, review mounting evidence from genomic analyses that these factors are pervasive, and synthesize theoretical and empirical evidence for the power of GWAS in local populations.

Draft genome sequencing data of the bacterial wilt, Ralstonia pseudosolanacearum T2C-Rasto, from Cucumis sativus, in An Giang province, Mekong Delta - Southwest Vietnam

Ralstonia solanacearum is one of the major plant pathogens causing bacterial wilt disease in a variety of plant species. In Vietnam, according to our knowledge, we first discovered R. pseudosolanacearum, which is one of four phylotypes of R. solanacearum, as a causal agent wilting in cucumber (Cucumis sativus). Due to the latent infection of R. pseudosolanacearum and its heterogenous species complex, controlling the disease becomes difficult.Therefore, the study of R. pseudosolanacearum has great significance to generate effective disease management and treatment. Here, we assembled the isolate R. pseudosolanacearum strain T2C-Rasto, which possessed 183 contigs with 67.03% GC content of 5,628,295 bp in. This assembly included 4,893 protein sequences, 52 tRNA genes, and 3 rRNA genes. In addition, the virulence genes involved in the colonization of the bacterium and wilting to the host were defined in twitching motility (pilT, pilJ, pilH and pilG), chemotaxis (cheA and cheW), type VI secretion system (ompA, hcp, paar, tssB, tssC, tssF, tssG, tssK, tssH, tssJ, tssL and tssM), type III secretion system (hrpB and hrpF).

Genome-wide association studies in plant pathosystems: success or failure?

Harnessing natural genetic variation is an established alternative to artificial genetic variation for investigating the molecular dialog between partners in plant pathosystems. Herein, we review the successes of genome-wide association studies (GWAS) in both plants and pathogens. While GWAS in plants confirmed that the genetic architecture of disease resistance is polygenic, dynamic during the infection kinetics, and dependent on the environment, GWAS shortened the time of identification of quantitative trait loci (QTLs) and revealed both complex epistatic networks and a genetic architecture dependent upon the geographical scale. A similar picture emerges from the few GWAS in pathogens. In addition, the ever-increasing number of functionally validated QTLs has revealed new molecular plant defense mechanisms and pathogenicity determinants. Finally, we propose recommendations to better decode the disease triangle.

A Nicotiana benthamiana receptor-like kinase regulates Phytophthora resistance by coupling with BAK1 to enhance elicitin-triggered immunity

Cell-surface-localized leucine-rich-repeat receptor-like kinases (LRR-RLKs) are crucial for plant immunity. Most LRR-RLKs that act as receptors directly recognize ligands via a large extracellular domain (ECD), whereas LRR-RLK that serve as regulators are relatively small and contain fewer LRRs. Here, we identified LRR-RLK regulators using high-throughput tobacco rattle virus (TRV)-based gene silencing in the model plant Nicotiana benthamiana. We used the cell-death phenotype caused by INF1, an oomycete elicitin that induces pattern-triggered immunity, as an indicator. By screening 33 small LRR-RLKs (≤6 LRRs) of unknown function, we identified ELICITIN INSENSITIVE RLK 1 (NbEIR1) as a positive regulator of INF1-induced immunity and oomycete resistance. Nicotiana benthamiana mutants of eir1 generated by CRISPR/Cas9-editing showed significantly compromised immune responses to INF1 and were more vulnerable to the oomycete pathogen Phytophthora capsici. NbEIR1 associates with BRI1-ASSOCIATED RECEPTOR KINASE 1 (NbBAK1) and a downstream component, BRASSINOSTEROID-SIGNALING KINASE 1 (NbBSK1). NbBSK1 also contributes to INF1-induced defense and P. capsici resistance. Upon INF1 treatment, NbEIR1 was released from NbBAK1 and NbBSK1 in vivo. Moreover, the silencing of NbBSK1 compromised the association of NbEIR1 with NbBAK1. We also showed that NbEIR1 regulates flg22-induced immunity and associates with its receptor, FLAGELLIN SENSING 2 (NbFLS2). Collectively, our results suggest that NbEIR1 is a novel regulatory element for BAK1-dependent immunity. NbBSK1-NbEIR1 association is required for maintaining the NbEIR1/NbBAK1 complex in the resting state.

Characterization of plasma membrane proteins in stylosanthes leaves and roots using simplified enrichment method with a nonionic detergent

Plant plasma membranes (PMs) play an important role in maintaining the stability of the intracellular environment and exchanging information with the external environment. Therefore, deciphering dynamics of PM proteome provides crucial information for elucidating cellular regulation in response to diverse stimuli. In the study, we developed a simplified method for enriching PM proteins in leaf and root tissues of a tropical forage Stylosanthes by combining differential centrifugation and Brij-58 treatment. Both immunoblot analysis and mass spectrometry demonstrated that the representation and abundance of PM proteins were increased in the enrichment fraction, and the contamination of other organellar proteins was decreased. A total of 426 and 388 proteins were predicted to be PM proteins in leaves and roots, respectively. Functional analysis classified these PM proteins into six major categories (transporter, enzyme, receptor, membrane structure protein, vesicular trafficking and chaperone), and orthologs of many PM proteins regulating the responses to abiotic and biotic stresses have been detected. In addition, the sequence analysis, subcellular localization and gene expression analyses of a newly identified receptor-like kinase, SgRKL1, has been performed. Together, these results show that the simplified PM enrichment method can be successfully applied to different plant tissue types and to study the dynamics of PM proteome of Stylosanthes in response to multiple stresses.

A Genome-Wide Association study in Arabidopsis thaliana to decipher the adaptive genetics of quantitative disease resistance in a native heterogeneous environment

Pathogens are often the main selective agents acting in plant communities, thereby influencing the distribution of polymorphism at loci affecting resistance within and among natural plant populations. In addition, the outcome of plant-pathogen interactions can be drastically affected by abiotic and biotic factors at different spatial and temporal grains. The characterization of the adaptive genetic architecture of disease resistance in native heterogeneous environments is however still missing. In this study, we conducted an in situ Genome-Wide Association study in the spatially heterogeneous native habitat of a highly genetically polymorphic local mapping population of Arabidopsis thaliana, to unravel the adaptive genetic architecture of quantitative disease resistance. Disease resistance largely differed among three native soils and was affected by the presence of the grass Poa annua. The observation of strong crossing reactions norms among the 195 A. thaliana genotypes for disease resistance among micro-habitats, combined with a negative fecundity-disease resistance relationship in each micro-habitat, suggest that alternative local genotypes of A. thaliana are favored under contrasting environmental conditions at the scale of few meters. A complex genetic architecture was detected for disease resistance and fecundity. However, only few QTLs were common between these two traits. Heterogeneous selection in this local population should therefore promote the maintenance of polymorphism at only few candidate resistance genes.

The Genomic Architecture of Competitive Response of Arabidopsis thaliana Is Highly Flexible Among Plurispecific Neighborhoods

Plants are daily challenged by multiple abiotic and biotic stresses. A major biotic constraint corresponds to competition with other plant species. Although plants simultaneously interact with multiple neighboring species throughout their life cycle, there is still very limited information about the genetics of the competitive response in the context of plurispecific interactions. Using a local mapping population of Arabidopsis thaliana, we set up a genome wide association study (GWAS) to estimate the extent of genetic variation of competitive response in 12 plant species assemblages, based on three competitor species (Poa annua, Stellaria media, and Veronica arvensis). Based on five phenotypic traits, we detected strong crossing reaction norms not only between the three bispecific neighborhoods but also among the plurispecific neighborhoods. The genetic architecture of competitive response was highly dependent on the identity and the relative abundance of the neighboring species. In addition, most of the enriched biological processes underlying competitive responses largely differ among neighborhoods. While the RNA related processes might confer a broad range response toolkit for multiple traits in diverse neighborhoods, some processes, such as signaling and transport, might play a specific role in particular assemblages. Altogether, our results suggest that plants can integrate and respond to different species assemblages depending on the identity and number of each neighboring species, through a large range of candidate genes associated with diverse and unexpected processes leading to developmental and stress responses.