Phytopathology最新文献

Apple replant disease (ARD) is a serious soilborne disease in apple nurseries and orchards worldwide. ARD is the result of an unbalanced soil microbiome in which multiple soil-borne plant pathogenic fungi, oomycetes and nematodes form a disease complex. Biphenyl and dibenzofuran phytoalexins are found in greater quantities in the roots of apple plants grown in ARD soil compared to disinfected ARD soil. However, the contribution of these compounds to plant health or disease is not yet understood. Here, the antimicrobial activity of fourteen chemically synthesized biphenyl and dibenzofuran phytoalexins was tested against eight selected microorganisms isolated from either rhizosphere soils or apple roots. These included five potentially beneficial bacteria (Rhodococcus pseudokoreensis strain R79^T, Rhodococcus koreensis strain R85, Streptomyces pulveraceus strain ES16, Streptomyces ciscaucasicus GS2, Priestia megaterium strain B1), two ARD fungal pathogens (Ilyonectria robusta H131 and Dactylonectria torresensis N3) and one oomycete (Globisporangium terrestre). Two phytoalexin mixtures reflecting the percentages of the individual compounds inside the roots (Mixture A) and the root exudate (Mixture B) were also tested. The two phytoalexin mixtures demonstrated a higher antimicrobial activity than the individual phytoalexins, suggesting a synergistic effect. The minimum inhibitory concentration (MIC) and the half maximal effective concentration (EC₅₀) values determined to be active against the eight microbes were within a range of 2.5-fold the ecologically relevant phytoalexin concentration (approximately 33 and 24 µg ml^-1 in roots and exudates, respectively). The results contribute to our understanding of the impact of apple root phytoalexins on ARD and suggest potential strategies for disease management.

Rapid, field-deployable assays such as loop-mediated isothermal amplification (LAMP) are critical for detecting nursery and forest pathogens like Phytophthora ramorum and P. kernoviae to prevent pathogen spread. We developed and validated four LAMP assays for genus-level detection of Phytophthora spp., species-level detection of P. kernoviae and P. ramorum and lineage-level detection of the P. ramorum NA1 lineage. Cross reactivity of the two species-specific LAMP assays was evaluated using a set of 18 Phytophthora spp. known to infect nursery crop hosts. The correct target species were detected by the species-level LAMP assays. The Phytophthora spp. LAMP assay was evaluated against 27 Phytophthora spp. and other bacterial and fungal pathogens and reacted with all the Phytophthora spp. evaluated but no other bacterial or fungal species. The limit of detection (LOD) of the P. kernoviae LAMP was 100 fg/µl and the LOD of the P. ramorum LAMP assay was 1 pg/µl of DNA. The NA1 LAMP assay was tested against the NA1, NA2, EU1, and EU2 lineages of P. ramorum and was lineage-specific but had a higher LOD (100pg/µl) than the species-specific LAMP assays. Both P. ramorum and P. kernoviae LAMP assays were highly precise (>0.94) in detecting the respective pathogens in symptomatic rhododendron leaves and co-inoculation experiments. The set of four LAMP assays were run in tandem on a microfluidic chip and smartphone platform and can be used in the field to detect and monitor spread of these regulatory Phytophthora spp. in forest and/or nursery settings.

Wheat powdery mildew (WPM) is one of the most devasting diseases that affects wheat yield worldwide. Few efforts have been made to control such a serious disease. An effective way to control WPM is urgently needed. Biological control is an effective way to control plant diseases worldwide. In this study, the efficiency of three different Trichoderma spp. in controlling WPM at the seedling growth stage was tested using 35 highly diverse wheat genotypes. Highly significant differences were found in WPM resistance among the four treatments, confirming the efficiency of Trichoderma in controlling WPM. Of the three species, T. asperellum T34 (T34) was the most effective species in controlling WPM, as it reduced the symptoms by 50.56%. A set of 196 wheat genotypes was used to identify the genetic control of the WPM resistance induced by T34. A total of 39, 27, and 18 gene models were identified to contain the significant markers under Pm, T34, and the improvement in powdery mildew resistance due to T34 (T34_improvement) conditions. Furthermore, no gene model was common between T34 and Pm, suggesting the presence of completely different genetic systems controlling the resistance under T34 and Pm. The functional annotation and biological process pathways of the detected gene models confirm their association with the normal and induced resistance. This study, for the first time, confirms the efficiency of T34 in controlling WPM and provides a deep understanding of the genetic control of induced and normal resistance to WPM.

Xanthomonas species are specialized plant pathogens, often exhibiting a narrow host range. They rely on the translocation of effector proteins through the type III secretion system to colonize their respective hosts. The effector arsenal varies among Xanthomonas spp., typically displaying species-specific compositions. This species-specific effector composition, collectively termed the effectorome, is thought to influence host specialization. We determined the plant host-derived effectoromes of more than 300 deposited genomes of Xanthomonas species associated with either Solanaceae or Brassicaceae hosts. Comparative analyses revealed clear species-specific effectorome signatures. However, Solanaceae or Brassicaceae host-associated effectorome signatures were not detected. Nevertheless, host biases in the presence or absence of specific effector classes were observed. To assess whether host-associated effector absence results from selective pressures, we introduced effectors unique to Solanaceae pathogens to X. campestris pv. campestris and effectors unique to Brassicaceae pathogens to X. euvesicatoria pv. euvesicatoria (Xeue) and evaluated if these introductions hindered virulence on their respective hosts. Introducing the effector XopI into X. campestris pv. campestris reduced virulence on white cabbage leaves without affecting localized or systemic colonization. Introducing the XopAC or XopJ5 effectors into Xeue reduced virulence and colonization on tomato but not on pepper. Additionally, XopAC and XopJ5 induced a hypersensitive response on tomato leaves when delivered by Xeue or through Agrobacterium-mediated transient expression, confirming recognition in tomato. This study demonstrates the role of host-derived selection in establishing species-specific effectoromes, identifying XopAC and XopJ5 as recognized effectors in tomato.

Methods for causal inference from observational data are common in human disease epidemiology and social sciences but are used relatively little in plant pathology. We draw upon an extensive data set of the incidence of hop plants with powdery mildew (caused by Podosphaera macularis) collected from yards in Oregon from 2014 to 2017 and associated metadata on grower cultural practices, cultivar susceptibility to powdery mildew, and pesticide application records to understand variation in and causes of growers' fungicide use and associated costs. An instrumental causal forest model identified growers' spring pruning thoroughness, cultivar susceptibility to two of the dominant pathogenic races of P. macularis, network centrality of yards during May-June and June-July time transitions, and the initial strain of the fungus detected as important variables determining the number of pesticide active constituents applied by growers and the associated costs they incurred in response to powdery mildew. Exposure-response function models fit after covariate weighting indicated that both the number of pesticide active constituents applied and their associated costs scaled linearly with the seasonal mean incidence of plants with powdery mildew. Although the causes of pesticide use intensity are multifaceted, biological and production factors collectively influence the incidence of powdery mildew, which has a direct exposure-response relationship with the number of pesticide active constituents that growers apply and their costs. Our analyses point to several potential strategies for reducing pesticide use and costs for management of powdery mildew on hop. We also highlight the utility of these methods for causal inference in observational studies.

Although resistant cultivars are valuable in safeguarding crops against diseases, they can be rapidly overcome by pathogens. Numerous strategies have been proposed to delay pathogen adaptation (evolutionary control) while still ensuring effective protection (epidemiological control). For perennial crops, multiple resistance genes can be deployed (i) in the same cultivar (pyramiding strategy); in single-gene-resistant cultivars grown (ii) in the same field (mixture strategy) or (iii) in different fields (mosaic strategy); or (iv) in hybrid strategies that combine the three previous options. In addition, the spatial scale at which resistant cultivars are deployed can affect the plant-pathogen interaction: Small fields are thought to reduce pest density and disease transmission. Here, we used the spatially explicit stochastic model landsepi to compare the evolutionary and epidemiological control across spatial scales and deployment strategies relying on two major resistance genes. Our results, broadly focused on resistance to downy mildew of grapevine, show that the evolutionary control provided by the pyramiding strategy is at risk when single-gene-resistant cultivars are concurrently planted in the landscape (hybrid strategies), especially at low mutation probability. Moreover, the effectiveness of pyramiding compared with hybrid strategies is influenced by whether the adapted pathogen pays a fitness cost across all hosts or only for unnecessary virulence, particularly when the fitness cost is high rather than intermediate. Finally, field size did not affect model outputs for a wide range of mutation probabilities and associated fitness costs. The socioeconomic policies favoring the adoption of optimal resistant management strategies are discussed.

Cerasus × yedoensis (cherry 'Somei-yoshino' Fujino) is affected by bacterial gall disease caused by Pseudomonas syringae pv. cerasicola (PSC). C. × yedoensis is often infected with PSC under weak light intensity, which indicates that susceptibility of C. × yedoensis to PSC is affected by light. To evaluate the effects of white light intensity and different light qualities, white or blue, on bacterial gall disease development, we quantitatively assessed the anatomical and histological features of bacterial-inoculated sites on branches of 2-year-old potted C. × yedoensis seedlings grown under different light intensities and qualities. The stronger the white light intensity, the less severe the gall symptoms. Gall formation was suppressed more by blue than white light of the same intensity. The validity of a simple gall index for assessing gall development with the naked eye, via quantitative evaluation of gall shape by measuring gall height, width, and volume, showed that the gall index could be used as a practical method for on-site assessments of gall development. The ratio of degeneration area in the gall remained constant, suggesting the presence of some regulatory mechanism preventing PSC from affecting the entire gall within the plant. Microscopy showed that the gall tissue is composed primarily of callus cells and has voids containing gummy material that is exuded from cracks in the gall, and the periderm develops at the gall foot but not at the gall apex, so the cells at the gall apex were necrotic or collapsed.

Fusarium oxysporum f. sp. vasinfectum (FOV) is a significant cotton (Gossypium spp.) pathogen causing vascular wilt, browning of the vascular tissues, and plant death in the most severe cases. This global disease is responsible for sizeable crop losses annually and is found in many cotton producing regions, including the Republic of Uzbekistan and the USA. Specifically, FOV race 4 (FOV4) has been disrupting production for years. This study aimed to genetically characterize FOV4 isolates causing disease in the main cotton producing region of Uzbekistan and compare with FOV4 isolates from the USA. A field study conducted in the Bukhara region of the Republic of Uzbekistan in the spring of 2022 identified both FOV4 and new Fusarium isolates from Upland cotton exhibiting typical Fusarium wilt symptoms. Molecular markers were initially used to identify isolates of interest, and a phylogenetic analysis was performed using partial EF1-α sequences, followed by a comparative genomic analysis. We also report for the first time the isolation of F. solani and F. commune causing Fusarium wilt in Uzbekistan. Furthermore, we show that the FOV4 population within our sampling region of Uzbekistan may be dominated by a single biotype with an effector profile similar to that of FOV race 7 (FOV7). One of these effector proteins is also present in the F. commune isolate showing virulence to cotton. Whole genome comparisons between FOV races can identify unique genetic markers for FOV4 and aid in the development of tools for breeding FOV resistant cotton varieties.

Passifloraceae is a plant family that includes several species of interest in the food, medicinal, and ornamental industries. The most relevant species are the purple and yellow varieties of P. edulis, which are among the most highly prized tropical fruits in the international markets. Unfortunately, the rapid expansion of this crop worldwide has resulted in the emergence of several viral diseases that endangered the productivity of this crop. In this work, we performed an integrated analysis of the Passifloraceae virome using public data. We investigated Pubmed and Genbank records and analyzed all the transcriptome data available for members of this plant family. This analysis resulted in the identification of six novel virus associations and six putative new viral species. We also used RNAseq to inspect virus accumulation levels and mixed infections. Using network analysis, we also examined the global distribution of Passiflora viruses and their associations with alternative hosts, which is valuable information in implementing viral disease management strategies. Our data suggest that a large diversity of viruses remains to be discovered. Finally, we used the information gathered in this work to estimate the cross-transmission risk of viruses in Colombian Passiflora fields.

We report high-quality genomes of three strains of Xanthomonas citri pv. mangiferaeindicae (Xcm), the causal agent of mango bacterial canker disease, including the pathotype strain of this pathovar and two strains from Burkina Faso that emerged a decade ago. These strains hosted two to three plasmids of sizes ranging from 19 to 86 kb. Genome mining revealed the presence of several secretion systems (SS) and effectors involved in virulence of xanthomonads with (i) a T1SS of the hlyDB group, (ii) xps and xcs T2SSs, (iii) a T3SS with several type three effectors (T3E), including transcription activator-like effectors (TALE), (iv) several T4SSs associated with plasmid or integrative conjugative elements (ICE) mobility, (v) three T5SS subclasses (Va, Vb and Vc) and (vi) a single i3* T6SS. The two strains isolated in Burkina Faso from mango (Mangifera indica L.) and cashew (Anacardium occidentale L.) differed by only 14 SNPs and shared identical secretion systems and T3E repertoire. Several TALEs were identified in each strain, some of which may target plant genes previously found implicated in disease development in other xanthomonad-associated pathosystems. These results support the emergence in Burkina Faso a decade ago of very closely related strains that became epidemic on mango and cashew, i.e., two distinct host genera of a same plant family. These new genomic resources will contribute to better understand the biology and evolution of this agriculturally major crop pathogen.