Phytopathology®

Fusarium oxysporum f. sp. lactucae (Fola), the cause of lettuce fusarium wilt, poses an increasing threat to global production due to the rapid emergence of resistance breaking isolates. However, the evolutionary origins and mechanisms underpinning this diversification remain poorly understood. We characterised 103 Fola isolates using molecular profiling, selecting ten key isolates for long-read whole-genome sequencing and performed in planta virulence assays for selected isolates. This included the first assemblies for Fola2 and Fola3, recent resistance-breaking variants and a highly divergent isolate from France designated as a putative novel race, FolaX. Phylogenomic analysis revealed that Fola is polyphyletic, with lettuce pathogenicity acquired independently across divergent F. oxysporum clades. Despite this, all lineages share a conserved "PanFola" effector set with near-identical sequences, indicating extensive horizontal gene transfer. Resistance-breaking Fola variants within established races were linked to copy number variations and targeted deletions, such as the loss of the SIX8/PSE1 locus in Fola4+. Conversely, FolaX possessed a divergent core genome and a chimeric accessory genome derived from multiple Fola lineages via segmental chromosome transfer and transposon-mediated reshuffling. Our findings highlight the remarkable evolutionary plasticity of Fola and the need for breeding strategies that address the dynamic nature of effector repertoires.

Pseudomonas species include important plant pathogens responsible for substantial agricultural losses. Although CRISPR-INTEGRATE has been applied for genome engineering in medically relevant Pseudomonas, its utility in plant-pathogenic Pseudomonas has not been established. Here, we demonstrate CRISPR-INTEGRATE, an RNA-guided Tn7-like transposition system that enables targeted chromosomal integration without double-strand breaks or host-dependent homologous recombination, across three plant-pathogenic Pseudomonas backgrounds. Targeted disruption of hrpJ, hrcC, and gacA was confirmed by PCR and Sanger sequencing and resulted in distinct phenotypes, including impaired type III secretion-associated virulence and hypersensitive response, altered colony morphology and biofilm formation, and reduced motility. We further coupled CRISPR-INTEGRATE with Cre-lox recombination to excise a ~40-kb prophage-associated region from the P. syringae pv. tomato DC3000 chromosome. Genomic characterization identified a 33.45-kb predicted prophage within this region, putative attL/attR sites sharing an identical 14-bp core sequence, an orthologous empty locus containing a candidate attB site, and conserved prophage-associated gene organization across P. syringae genomes. Deletion of the region altered bacterial growth and increased susceptibility to phage infection, with the strongest effect observed for phage Plaza, while having no detectable effect on the tested plant virulence phenotypes. Together, these findings establish CRISPR-INTEGRATE as a portable genome-engineering platform for plant-pathogenic Pseudomonas and demonstrate its utility for functional interrogation of individual genes and large accessory genomic elements.

Red crown rot (RCR), caused by Calonectria ilicicola, is an emerging soybean disease in the U.S. Midwest for which scalable approaches to characterize within-field disease distribution are lacking. This study evaluated high-resolution PlanetScope satellite imagery for mapping RCR-affected soybean canopies across 15 commercial fields in Illinois surveyed during the 2024 and 2025 growing seasons. A total of 2,921 georeferenced canopy plots were classified as asymptomatic or RCR-affected and paired with six multispectral bands and seven vegetation indices. Spectral differences between classes were evaluated using linear mixed-effects models, and seven machine-learning classifiers representing linear, tree-based, neural-network, kernel, and probabilistic approaches were compared using spatially independent leave-one-field-out cross-validation. RCR-affected canopies exhibited increased reflectance in the visible and red-edge regions, reduced near-infrared reflectance, and lower vegetation-index values relative to asymptomatic canopies. All classifiers showed strong discrimination, with ROC-AUC values ranging from 0.963 to 0.982. Regularized logistic regression achieved the highest overall performance, with an accuracy of 0.945, balanced accuracy of 0.945, F1-score of 0.948, and ROC-AUC of 0.982 at the optimized decision threshold. Permutation analysis identified EVI, NDVI, and red reflectance as the most influential predictors across representative model architectures. Satellite-derived probability and classification maps generally corresponded with symptomatic canopy patterns observed in high-resolution UAV imagery, although mixed pixels reduced precision near disease-patch boundaries. These results demonstrate the potential of high-resolution satellite imagery for within-field mapping of RCR-associated canopy symptoms across independent commercial soybean fields.

Cucurbit yellow vine disease (CYVD) is a phloem disease caused by a group of Serratia ureilytica bacteria within the S. marcescens complex. The CYVD pathogen is distinct from other phloem pathogens in two fundamental ways: i) unlike other bacterial phloem pathogens, the CYVD pathogen readily grows on standard laboratory media; and ii) whereas most bacterial phloem diseases are transmitted solely by hemipteran insects, CYVD can be transmitted by both hemipteran (squash bug) and non-hemipteran (cucumber beetle) vectors. The phloem of cucurbits is also distinct, with cucurbits having a unique secondary phloem system, the extrafascicular phloem (EFP), for which a role in CYVD has not been investigated. The distinctive features of this pathosystem prompted a re-evaluation of pathogen localization in planta using a green fluorescent protein-tagged CYVD strain during infection of squash (Cucurbita pepo). In epifluorescence and confocal microscopy images of transverse and longitudinal sections of stem and petiole tissues, the fluorescence patterns of the CYVD pathogen were consistent with pathogen colonization of all four known EFP tissues, namely the peripheral, entocyclic, ectocyclic, and commissural sieve tubes. The CYVD pathogen may enter the EFP during herbivory by pathogen-infected vectors that cause mechanical damage, as the EFP exhibits much slower blockage following injury than the conventional fascicular (bundle) phloem. Moreover, although EFP has been proposed to have an antimicrobial function, EFP exudate collected from the stem and petioles of C. pepo supported rapid pathogen growth. These results provide evidence for a unique tissue tropism of the newly emerged plant pathogen S. ureilytica.

To reduce reliance on pesticides in potato production, alternative partial control methods are needed, yet their efficacy and reliability are seldom quantified over multiple years. Canopy architecture is a potential lever against late blight, caused by Phytophthora infestans, a pathogen whose infection and development are highly driven by humidity and temperature. However, its practical value under field conditions in pure crop stands remains poorly documented. We compared two commercial potato cultivars with contrasting canopy architectures but similar leaf tissue susceptibility to P. infestans, in replicated field trials conducted over six years (2011 2016) under irrigation, and over three of these years also without irrigation. Disease and canopy development (height, closure, leaf area, stem number) were monitored throughout the growing seasons and analysed using non linear growth models. Monalisa, an erect and ramose cultivar, consistently slowed epidemic progress relative to Bintje, a semi-erect and leafy cultivar. This effect was significant in every non irrigated trial but in only half of the irrigated ones. No single canopy trait explained this suppression across all years and conditions. However, canopy closure at the time of inoculation was the most consistent correlate, supporting the hypothesis of a microclimate mediated effect. Disease reduction seldom translated into a yield benefit, except under irrigation, where Monalisa occasionally out yielded Bintje. Our results confirm that canopy architecture can complement other levers within integrated late blight management. Nevertheless, its significant year to year variability and dependence on environmental conditions must be accounted for if it is to be deployed as a reliable control method.

Rubber vines (Cryptostegia madagascariensis and C. grandiflora) are highly invasive weeds in the semi-arid landscapes of many tropical regions. The rust fungus Maravalia cryptostegiae has provided a spetatular and sustainable control of invasive C. grandiflora populations in Australia, after its scientific and quarantine-authorized release in the context of a classical biological control program. The Caatinga biome of Northeastern Brazil is under a devastating invasion by C. madagascariensis. This species is also susceptible to M. cryptostegia but its epidemic potential towards C. madagascariensis in Brazil remains unknown. We developed a weather-driven epidemiological model integrating experimentally derived relationships for infection as a function of temperature and wetness duration and for temperature-dependent latent development. Three infection-response models were fitted to 20 experimental temperature x wetness combinations from the literature and compared using information criteria, grouped cross-validation and a parametric bootstrap. The selected model, in which thermal breadth increases with wetness duration, was best supported (R2 = 0.931; {Delta}AICc [≥] 3.3 relative to the alternatives), and prolonged wetness significantly broadened the thermal range favorable for infection ({gamma} = 0.30 oC h-1; bootstrap P = 0.002). The infection and latent-development models were coupled with 25 years (2001-2025) of hourly NASA POWER data for 65 grid cells representing rubber-vine-infested locations in Northeastern Brazil, with wetness defined as hours with relative humidity equal or greater than 90%. Infection potential was concentrated in March-June (73% of the annual total, peaking in April), coinciding with the regional rainy season, and was highest in the interior of northern and central Ceara. Predicted potential varied more than a hundredfold among grid cells and was lowest along parts of the Ceara coast and the lower Jaguaribe valley, which include some of the largest infestations; the magnitude of these contrasts depended on the humidity threshold used to define wetness. Applied with identical rules to 13 historical release sites in Queensland, Australia, the model reproduced the documented wet-season timing of rust activity, and predicted potential was on average higher at sites with reported high rust impact, although the difference was not statistically significant. These results indicate strong seasonal and geographic structuring of weather-driven epidemic potential and provide testable hypotheses for selecting release periods and locations for M. cryptostegiae in Brazil.

Background: Alternaria leaf spot (ALS), caused by fungi in the genus Alternaria (family Pleosporaceae), is a significant fungal disease that affects cotton production in the Lake Zone of Tanzania, the country's main cotton-producing region. The disease reduces photosynthetic capacity, boll retention, and fiber quality, leading to substantial yield losses in affected fields. Despite its increasing prevalence, systematic baseline epidemiological data remain scarce. Objective: This study aimed to determine the occurrence, incidence, and severity of Alternaria leaf spot across the major cotton-growing districts of the Lake Zone, Tanzania. Methods: Field surveys were conducted during the 2024-2025 growing season in the districts of Bariadi, Bunda, Chato, and Magu; 20 representative cotton fields were systematically assessed using a diagonal sampling approach. Disease incidence, prevalence, and severity were recorded for 1,000 cotton plants. Fungal isolates recovered from symptomatic leaves were sent to the laboratory for isolation and morphological identification. Results: Field prevalence was 100%, and the overall mean incidence was 64.4%, with significant inter-district variation: Bariadi (77.6%), Bunda (68.8%), Chato (60.0%), and Magu (52.4%). Mean DSI ranged from 44.0% (Magu) to 70.1% (Bariadi), indicating moderate-to-severe infection. Disease incidence and Disease severity (DSI) were strongly correlated when uninfected plants were included (r = 0.942, P < 0.001). However, this relationship weakened substantially and became non-significant when restricted to infected plants only (r = 0.396, P = 0.084). This suggests that higher incidence reflected more plants becoming infected rather than greater severity among already infected plants. Morphological characterization identified all 40 isolates as belonging to the genus Alternaria. Conclusion: These findings provide the first systematic epidemiological baseline for Alternaria leaf spot across the major cotton-growing districts of Tanzania's Lake Zone. Disease incidence and severity varied significantly across districts, underscoring the need for tailored disease management strategies. This study recommends ongoing surveillance and integrated disease management to safeguard cotton productivity among smallholder farmers in the region.

Gray leaf spot can cause severe turfgrass damage, particularly in intensively managed sports fields, while disease management remains challenging due to the rapid development of symptoms under favorable environmental conditions. Early detection of Pyricularia oryzae could therefore provide valuable information for anticipating disease development and supporting management decisions. This study aimed to develop a digital PCR (dPCR) molecular tool to support the monitoring and management of gray leaf spot disease in stadium turfgrass. The assay showed high sensitivity, consistently detecting P. oryzae when infected tissue represented only 0.05% of a mixture with healthy turfgrass, and enabled pathogen detection before symptom appearance under both controlled and field conditions. Different matrices were also investigated across 15 stadiums to identify the most relevant material for disease monitoring. Roots showed the highest prevalence of P. oryzae detection, including during asymptomatic periods, highlighting their potential as a relevant matrix for pathogen surveillance. In a stadium monitored several months after a gray leaf spot outbreak, P. oryzae DNA was still detected in roots from 27 of the 32 sampled zones despite the absence of visible symptoms. Overall, these results demonstrate the potential of dPCR for the early detection and monitoring of P. oryzae in stadium turfgrass, particularly through root sampling during periods when environmental conditions are not favorable for gray leaf spot development, and a spatio-temporal surveillance at stadium scale.

The Fusarium oxysporum species complex (FOSC) comprises numerous plant pathogens infecting crops such as tomato, lettuce, melon, and banana. Despite its economic and ecological importance and decades of research, the species names linked to different phylogenetic lineages within this species complex remain largely controversial. Earlier taxonomic frameworks relied on a limited number of marker genes, variable taxon sampling and inconsistent species definitions, leading to a fragmented and unstable taxonomy. To address these challenges, we here analysed nearly 2,500 conserved marker genes from 660 genomes, including genome assemblies from 22 ex-type strains that were sequenced using long-read sequencing technology, representing nearly half of the 51 currently described species within FOSC. Maximum likelihood- and coalescence-based analyses of the full phylogenomic data matrix as well as subsets yielded a robust phylogeny of FOSC, which was furthermore corroborated by whole genome comparisons. Many previously described species are redundant, while two novel lineages remain undescribed. Direct comparisons to traditional marker gene-based approaches demonstrate their inadequacy for species delimitation in FOSC. We show that our phylogenomic framework can guide the detection of novel marker genes able to distinguish the major lineages within FOSC, which will be essential for taxon delineation and classification in future studies. Thus, our phylogenomic analyses provide a stable cornerstone for revising FOSC taxonomy and offers a critical resource for the broader research community.

Pectobacterium, a member of the soft rot Pectobacteriaceae (SRP), can cause highly destructive soft rot and blackleg diseases on many important crop and other host plants, particularly potato (Solanum tuberosum). Pectobacterium and its sister genus Dickeya have common virulence strategies, yet a highly diverse "open" pangenome containing many unique and hypothetical proteins. Here, we used randomly-barcoded transposon insertion-site sequencing (RB-TnSeq) on six Pectobacterium species to identify genes involved in bacterial survival and growth in potato tubers, as well as in minimal media conditions containing different single carbon sources. The strains evaluated varied broadly in genomic content as well as host plant and year of isolation. We focused on identifying conditionally essential genes across all strains tested, as well as genes that were important for growth in one or few of the tested strains. These results highlight the importance of many common genes involved in metabolism and maintaining cellular homeostasis, as well as shared and rare virulence traits including polygalacturonate catabolism, genes involved in polysaccharide biosynthesis, immunity proteins, and (for P. brasiliense) self-tolerance of the antibiotic carbapenem. This large dataset of conditionally essential genes, generated across Pectobacterium species during soft rot infection of the agriculturally important plant host potato, can serve as a rich dataset for further hypothesis generation and identification of important and/or novel in planta fitness factors.

Cowpea, a crop of great importance in several regions in West Africa, faces many biotic and abiotic challenges. Several species of the genus Colletotrichum cause cowpea anthracnose disease (CAD), a major constraint to cowpea production severely affecting foliage and yield. Three Colletotrichum species: C. cliviicola, C. truncatum, and C. chrysophilum recently reported as causal agents of CAD in Nigeria were investigated in their infective processes and pathogenicity on cowpea leaves using histopathological and microscopic examination of stained leaf tissues. Inoculated leaves were examined at intervals to monitor fungal establishment, colonization, and reproductive development within host tissues. The three species completed the infection cycle, progressing from conidial germination and host penetration to tissue colonization, and sporulation. However, differences in both infective ability and pathogenicity were observed in representative isolates of each species. C. truncatum isolate was the most virulent, had extensive branching hyphae, produced severe tissue necrosis, abundant acervuli, and prominent seta formation. C. cliviicola also had substantial colonization and sporulation ability with dense conidial masses and mature acervuli. In contrast, C. chrysophilum had moderate infectivity with less extensive reproductive structures and tissue degradation. Here we provide the first histopathological report of infection and pathogenic development of these three species recently reported as causal agents of CAD

Sudden Death Syndrome (SDS), caused by Fusarium virguliforme, can significantly impact soybean yields. To advance the understanding of SDS resistance in plant introductions, we conducted genome-wide association studies (GWAS) on a set of 351 accessions from the USDA Soybean Germplasm Collection. The analysis revealed seven single nucleotide polymorphisms (SNPs) significantly associated with foliar SDS resistance; three significant QTL (on chromosomes 3, 9 and 11) were detected with Fixed and Random Model Circulating Probability Unification (FarmCPU) and four (on chromosomes 5, 6 and two on chromosome 7) with Bayesian-information and Linkage disequilibrium Iterative Nested Keyway (BLINK). Localized linkage disequilibrium blocks were estimated for these regions. Notably, all of them overlapped with regions where QTL associated with SDS resistance had been previously reported and where within, or close to, sequences annotated as implicated in plant defense mechanisms, such as toxin transporters and transcription factors. The architecture of SDS resistance appears quantitative and polygenic, with most loci explaining modest phenotypic variance. Six plant introductions in this study--PI 175188, PI 307889A, PI 323559, PI 578307C, PI 445683, and PI 323558--harbor favorable alleles at all seven loci, providing high-value resources for resistance introgression. This study underscores the value of leveraging the USDA Soybean Germplasm Collection for the discovery of resistance loci and provides a foundation for marker-assisted breeding to enhance SDS resistance in elite soybean lines.

Ralstonia pseudosolanacearum causes a lethal bacterial wilt disease in many plants. The pathogen enters through roots and systemically colonizes the xylem tissue, resulting in wilting and eventual death of the host. Using transposon mutagenesis followed by screening in tomato seedlings, we identified a mutant exhibiting virulence deficiency by root inoculation, but not by leaf inoculation. The mutation was recreated in the wild-type genome via natural transformation to prove the linkage of virulence deficiency with the transposon insertion. Whole genome sequencing revealed that the transposon insertion was in a cyp450 homologue, encoding cytochrome P450 monooxygenase. Two independent targeted mutations were generated in the cyp450 gene, and both the mutants recapitulated the root-specific virulence deficiency. The mutants rarely cause disease in mature plants following soil drenching but remained fully virulent upon petiole pricking inoculation. Complementation with the full length cyp450 gene amplified from the wild-type strain F1C1 restored virulence in the mutant. Compared to the wild-type F1C1, the cyp450 mutants exhibited greater sensitivity to tomato root extracts. HR-LCMS of tomato root extracts revealed the occurrence of several antimicrobial compounds. Cytochrome P450 enzymes are known to mediate the degradation or biosynthesis of diverse metabolites in bacteria. Considering the virulence difference due to the mode of inoculation, our findings indicate that cyp450 contributes to tissue-specific adaptation of the pathogen during infection has opened an avenue for integrating tissue metabolomics with bacterial wilt susceptibility research.

Pectobacterium comprises Gram-negative, pectinolytic plant pathogens that cause soft rot and blackleg diseases on numerous economically important crops. During sampling in 2018 in taro (Colocasia esculenta) fields in Hawaii, two bacterial strains PL152T and PL155 were isolated from taro. Peliminary molecular characterization placed both strains in the genus Pectobacterium. However, their taxanomic postions could not be resoved at the species level. A polyphasic taxonomic approach incorporating phenotypic characterization, 16S rRNA gene sequence analysis, multilocus sequence analysis (MLSA), whole genome based phylogeny, average nucleotide identity (ANI), and digital DNA-DNA hybridization (dDDH) was therefore employed to determine their taxonomic status. Phylogenetic and phylogenomic analyses consistently placed PL152 and PL155 together in a distinct and well supported lineage within the genus Pectobacterium, separate from currently recognized species. The two strains exhibited high genomic relatedness to each other, whereas the average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values, were lower than the accepted species delineation thresholds of 95% and 70%, respectively, supported the delineation of a novel bacterial species. The genomic characteristic of PL152 included a genome size of 5.02 Mb and a DNA G+C content of 52%. Collectively, based on a polyphasic approach including phylogenetic, phlyogenomic, biochemical, and phenotypic evidences supports the classification of strains PL152 and PL155 as representatives of a novel species within the genus Pectobacterium, for which the name Pectobacterium pacificum sp. nov. is proposed. Strain PL152 (ICMP 2436274, LMG 32536) is designated as the type strain.

Background: Plant defensins are small cysteine-rich antimicrobial peptides. In Arabidopsis thaliana, the inducible Class I gene AtPDF1.2a is widely used as a transcriptional marker of jasmonate/ethylene immunity, whereas the constitutively expressed Class II members have received less functional attention. AtPDF2.2 was compared with AtPDF1.2a during infection of Arabidopsis by the vascular fungal pathogen Verticillium longisporum, the necrotrophic fungus Sclerotinia sclerotiorum and the bacterium Pseudomonas syringae pv. tomato DC3000. Results: Profiling of the AtPDF family showed that AtPDF2.2, together with the Class II genes AtPDF2.3 and AtPDF2.5, was significantly reduced during V. longisporum infection, whereas AtPDF1.2a was induced. A promoter-reporter line showed a corresponding decrease in AtPDF2.2 promoter activity during V. longisporum infection, strongest in infected roots. KD-pdf2.2 plants contained more V. longisporum DNA, whereas OE-PDF2.2 plants contained less. The same reciprocal disease pattern was observed during S. sclerotiorum and Pst DC3000 infection. Histochemical Prom::AtPDF2.2::GUS reporter signal decreased during S. sclerotiorum infection but increased following Pst DC3000 infection. Basal AtPDF2.2 expression was lower in JA and ET-signaling mutants and higher in the SA-deficient sid2 background, while the analyzed promoter lacked the GCC-box that mediates inducible AtPDF1.2a regulation. AtPDF1.2a overexpression reduced symptoms across the three pathosystems, but loss of AtPDF1.2a increased disease only during V. longisporum infection under the conditions tested and did not alter Pst DC3000 DNA abundance. AtPDF2.2 overexpression was not associated with reduced vegetative growth under the conditions tested, whereas AtPDF1.2a overexpression reduced rosette size and leaf number. Conclusions: AtPDF2.2 is a constitutively expressed Class II defensin whose expression level is associated with disease outcome across two fungal pathogens and a bacterium. Its promoter shows tissue-dependent regulation during V. longisporum infection, while histochemical reporter signal decreases during S. sclerotiorum infection and increases during Pst DC3000 infection. This regulatory behavior differs from that of the inducible reference gene AtPDF1.2a. The reciprocal disease phenotypes of the AtPDF2.2 transgenic backgrounds support a protective association that may involve direct antimicrobial activity, modulation of host responses or both. The absence of reduced vegetative growth in OE-PDF2.2 under the conditions tested supports further evaluation of PDF2-type genes in Brassica.

Phakopsora pachyrhizi, the causal agent of soybean rust, is among the most aggressive and economically impactful pathogens affecting soybean (Glycine max) production worldwide. As a dikaryotic rust fungus, P. pachyrhizi maintains its genetic information as two discrete haplotypes that are sequestered within separate nuclei for most of its life cycle as it reproduces asexually via the production of infectious urediniospores. Previous genomes of three P. pachyrhizi isolates collected in South America revealed a large genome with a high transposable element content, measuring up to 1.25 Gb and 93%, respectively. Although these efforts provided valuable foundational resources, the complexity of the genome resulted in highly fragmented assemblies. Here, we generated a highly contiguous, substantially improved, annotated genome resource from the P. pachyrhizi isolate LA04-1, collected during the initial outbreak of soybean rust in the continental United States in 2004. The assembly is haplotype-phased, with each haplotype assembled into 18 chromosomes totaling 572 Mb and 569 Mb in size. The isolate contains unique mating-type genes and does not share haplotype genomes with any available isolates with whole-genome sequencing datasets. This resource will be valuable to future investigations into the underlying mechanisms of virulence in this important plant pathogen.

Microbial biological control agents (mBCAs) offer a promising alternative to conventional disease management, but identifying effective strains requires screening large microbial collections against many pathogens. Here, we developed a scalable screening approach to characterize the antagonistic activity of potato-associated bacteria against multiple pathogens and investigated how bacterial origin and phylogeny relate to antagonistic phenotypes. A collection of 600 bacterial strains isolated from two potato cultivars, three plant compartments using four cultivation media was screened against six major potato pathogens: the bacteria Dickeya solani and Pectobacterium carotovorum, the fungi Alternaria solani and Rhizoctonia solani, and the oomycetes Phytophthora infestans and Pythium ultimum. A scalable confrontation method was developed for non-filamentous bacteria, while complementary lower-throughput assays were used for filamentous strains. This approach enabled successful assessment of 92% of non-filamentous and 97% of filamentous strain-pathogen combinations. Isolation cultivar, plant compartment and cultivation medium had only limited effects on the proportion of antagonistic strains. In contrast, pathogen sensitivity varied markedly: P. infestans was the most susceptible pathogen, whereas D. solani and P. carotovorum were generally resistant to bacterial antagonism. Antagonistic activity clustered phylogenetically, with Bacillus and Streptomyces containing many broad-spectrum inhibitors. In addition, several taxa showed preferential activity against the oomycetes, including P. infestans-specific antagonists from the Pseudomonas genus and P. ultimum-specific antagonists from the Frigoribacterium, Curtobacterium, Pedobacter and Phyllobacterium genera. Overall, multi-pathogen screening revealed distinct generalist and specialist antagonistic profiles and identified candidate strains and taxa for further evaluation as mBCAs.

The bean thrips, Caliothrips phaseoli, is an emergent pest affecting peanut production. Thus, gaining a deeper understanding of the naturally occurring viral populations associated with this insect is of major importance, as such knowledge could support the design of novel pest management strategies that are both ecologically responsible and sustainable over the long term. In this study, we performed the first RNA high-throughput sequencing (HTS) analysis of C. phaseoli to unravel its virome, discovering a wide number of novel RNA viruses. Our HTS analysis revealed the presence of 31 viral segments, corresponding to 18 viruses, including double-stranded RNA viruses as well as positive- and negative-sense single-stranded RNA viruses. All these are novel viruses and cover multiple viral lineages belonging to diverse families. Overall, these results indicates that C. phaseoli hides a complex virome. The findings presented here provide an important framework for subsequent studies aimed at understanding the ecological significance, evolutionary patterns, and possible use of these viruses as components of biologically based management programs for this emerging peanut pest.

Genomic structural variants (SVs) are important sources of genetic diversity and contribute to the adaptation and evolution of plant-pathogenic fungi. Colletotrichum graminicola, the causal agent of maize (Zea mays L.) anthracnose, causes significant yield losses and serves as an important model for genetic studies. To investigate genomic plasticity in this pathogen, long-read genome assemblies were generated for four C. graminicola field strains collected in France, Croatia, Brazil, and Argentina and compared with the chromosome-level reference genome from the USA. Comparative analyses revealed extensive structural variation across core chromosomes, including large-scale translocations, inversions, duplications, and insertions and deletions, whereas minichromosomes showed markedly reduced collinearity among strains. Secreted proteins and predicted effectors were located significantly closer to regions affected by SVs. Approximately 174 kb of segmental duplications lacking genes were shared between core chromosome 04 and minichromosomes 11 and 13 in the reference genome but were absent from the other field strains, revealing a strain-specific structural link between core and minichromosomes. Protein clustering identified 733 candidate strain-specific genes across the reference genome. Approximately 72% of the genes annotated on the minichromosomes were strain-specific, indicating that most of their annotated genes lacked orthologous gene models in the other strains. Of the 733 candidate strain-specific genes, 492 retained homologous genomic sequences in at least one other strain and many also showed evidence of gene disruption. This pattern is consistent with lineage-specific pseudogenization and suggests that apparent gene presence-absence variation may arise through several evolutionary processes, including gene gain, gene loss and loss of gene function. Insertions and deletions in potentially regulatory flanking regions were associated with plant-pathogen interaction genes. In addition, interpretable machine learning analyses revealed a co-occurrence of duplications and LTR retrotransposons in genomic regions associated with secreted genes. This study shows that structural variation, transposable elements, and lineage-specific pseudogenization are important features of genome evolution in C. graminicola and identifies associations between genomic variation and genes involved in plant-pathogen interactions.

Four rhizobial strains isolated from root nodules of tropical leguminous plants in Costa Rica were characterized. Strain LEGMi-135b was isolated from Lonchocarpus felipei root nodules, LEGMi-12c from Cojoba arborea, LEGMi-198b from Calliandra haematocephala and Rhizobium altiplani LEGMi-166a from Mimosa pigra. Phylogenetic analyses based on the 16S rRNA gene and four concatenated housekeeping genes (recA, atpD, GATase and gyrB) placed these strains within the genera Martinezella (LEGMi-12c, LEGMi-135b, and LEGMi-198b) and Rhizobium (LEGMi-166a). Genome-based analyses showed that strain LEGMi-135b exhibited an average nucleotide identity (ANI) value of 94% and a digital DNA-DNA hybridization (dDDH) value of 53.2% compared with its closest related species, Martinezella hainanensis CCBAU 57015T, supporting its classification as a distinct species. LEGMI-12c exhibited ANI and dDDH values of 98% and 87%, respectively, compared with Martinezella hainanensis CCBAU 57015T. LEGMi-198b showed the highest similarity to Rhizobium cerradonense CNPSo 3464, with ANI and dDDH values of 98% and 81.4%, respectively; however, this taxon has not been validly published. LEGMi-166a exhibited ANI and dDDH values of 100% and 99.3%, respectively, compared with Rhizobium altiplani BR 10423, confirming its assignment to this species. Additionally, differentiation of strains LEGMi-135b and LEGMi-198b from their closest phylogenetic relatives was supported by phenotypic, physiological, and biochemical analyses. Based on the combined genomic, phenotypic, and biochemical evidence, we propose the establishment of the novel rhizobial species Martinezella legmii sp. nov., with strain LEGMi-135b designated as the type strain (LEGMi-135b), and Martinezella ivanii sp. nov., with strain LEGMi-198b designated as the type strain (LEGMi-198b). This study expands our understanding of rhizobial diversity associated with nitrogen-fixing symbioses, particularly among tropical leguminous plants from Costa Rica