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Gadea, A.

Publications and source records attributed to Gadea, A..

3 recordsLinked to original sources

Strain-level diversity shapes competitive outcomes in Fusarium: a multi-omic synthesis of fungal warfare

Fusarium head blight (FHB) is driven by co-occurring Fusarium species. Yet the molecular bases of their competitive interactions, particularly at the strain level, remain largely unknown. We performed an integrated multi-omic investigation of four Fusarium isolates cultivated in monoculture, self-confrontation (SC) and inter-specific confrontation (C) assays: two Fusarium graminearum strains FgrI349 and FgrPH-1, and two Fusarium avenaceum strains FaveI494 and FaLH03. Light microscopy and quantitative colorimetry revealed marked phenotypic heterogeneity. the F. graminearum strains formed expansive, red-pigmented colonies with rapid radial growth, whereas the F. avenaceum isolates grew more slowly and displayed distinct colony morphologies and pigmentation patterns. Untargeted LC-HRMS detected 1,008 metabolites in monocultures and 938 metabolites in confrontation zones. Species-level chemical signatures were confirmed, and strain-specific metabolite sets were identified, with FaLH03 producing more than 60 % of the metabolites being made exclusively by a single strain, highlighting its exceptionally unique metabolic profile. RNA-seq uncovered extensive transcriptional reprogramming during competition. In self-confrontations, strain-specific differences persisted but no major morphological or metabolic shifts were observed. Inter-specific confrontations elicited partner-dependent responses: FgrI349 up-regulated 1,492 genes against FaveI494 (including secondary-metabolite biosynthesis, oxidoreductase activity and transport) but only 407 genes against FaLH03, while down-regulating secondary-metabolite genes in the conspecific confrontation. Conversely, the F. avenaceum isolates showed opposite trends; FaLH03 strongly repressed ribosome-biogenesis and cell-wall genes while inducing oxidative-metabolism pathways, whereas FaveI494 displayed a modest transcriptional response dominated by down-regulation of cell-division and chromosome-segregation genes. Gene-ontology enrichment highlighted an opponent-specific reversal of the secondary-metabolite biosynthetic process category in F. graminearum: down-regulated in intra-specific confrontation but up-regulated in both inter-specific encounters. Collectively, our results demonstrate that competitive outcomes are shaped more by strain identity than by species identity, with each strain deploying a distinct molecular arsenal, ranging from metabolite-mediated antagonism to targeted transcriptional shutdown, when confronted with a specific opponent. These findings refine our understanding of Fusarium community dynamics and provide a framework for developing strain-targeted biocontrol strategies against FHB.

microbiology↗

Deciphering anti-infectious compounds from Peruvian medicinal Condocillos extract library through multiplexed assays and chemical profiling

High prevalence of parasitic or bacterial infectious diseases in some world areas is due to multiple reasons, including a lack of an appropriate health policy, challenging logistics and poverty. The support to research and development of new medicines to fight infectious diseases is one of the sustainable development goals promoted by World Health Organization (WHO). In this sense, the traditional medicinal knowledge substantiated by ethnopharmacology is a valuable starting point for drug discovery. This work aims at the scientific validation of the traditional use of Piper species ("Cordoncillos") as firsthand anti-infectious medicines. For this purpose, we adapted a computational statistical model to correlate the LCMS chemical profiles of 54 extracts from 19 Piper species to their corresponding anti-infectious assay results based on 37 microbial or parasites strains. We mainly identified two groups of bioactive compounds (called features as they are considered at the analytical level and are not formally isolated). Group 1 is composed of 11 features being highly correlated to an inhibiting activity on 21 bacteria (principally Gram-positive strains), one fungus (C. albicans), and one parasite (Trypanosoma brucei gambiense). The group 2 is composed of 9 features having a clear selectivity on Leishmania (all strains, both axenic and intramacrophagic). Bioactive features in group 1 were identified principally in the extracts of Piper strigosum and P. xanthostachyum. In group 2, bioactive features were distributed in the extracts of 14 Piper species. This multiplexed approach provided a broad picture of the metabolome as well as a map of compounds putatively associated to bioactivity. To our knowledge, the implementation of this type of metabolomics tools aimed at identifying bioactive compounds has not been used so far.

biochemistry↗

Metabotyping of Andean pseudocereals and characterization of emerging mycotoxins

Pseudocereals are best known for three crops derived from the Andes: quinoa (Chenopodium quinoa, Chenopods I), canihua (C. pallidicaule, Chenopods I), and kiwicha (Amaranthus caudatus). Their grains are recognized for their nutritional benefits; however, there is a higher level of polyphenism and the chemical foundation that would rely with such polyphenism has not been thoroughly investigated. Meanwhile, the chemical food safety of pseudocereals remains poorly documented. Here we applied untargeted and targeted metabolomics approach by LC-MS to achieve both: i) a comprehensive chemical mapping of pseudocereal samples collected in the Andes to classify them according to their chemotype; ii) a quantification of their contents in emerging mycotoxins. An inventory of the fungal community was also realized with the aims to better know the filamentous fungi present in these grains and try to parallel this information with the presence of the molecules produced, especially mycotoxins. Metabotyping permitted to add new insights into the chemotaxonomy of pseudocereals, confirming the previously established phylotranscriptomic clades: Chenopods I (clusters quinoa and canihua), and Amaranthaceae s.s. (cluster kiwicha). Moreover, we report for the first time the presence of mycotoxins in pseudocereals. Sixteen samples of Peru (out of 27) and one sample from France (out of one) were contaminated with Beauvericin, an emerging mycotoxin. There were several mycotoxigenic fungi detected, including Aspergillus sp., Penicillium sp., and Alternaria sp., but not Fusaria. Highlights{blacksquare} Twenty-seven grain samples of Andean pseudocereals were profiled by LC-HRMS. {blacksquare}Untargeted metabolomics was used to differentiate varieties from the whole metabolome dataset. {blacksquare}Five mycotoxins were quantify using targeted metabolomics. {blacksquare}Sixteen samples of Peru and one sample from France were contaminated with Beauvericin. {blacksquare}An inventory of the fungal community infesting the Andean pseudocereal samples was documented.

biochemistry↗