Biology subjects

Marchi, M.

Publications and source records attributed to Marchi, M..

14 recordsLinked to original sources

bioRxiv2026

A Seed-Derived Multi-Kingdom Synthetic Community Enhances Radish Seedling Protection Against Alternaria brassicicola Abra43

Seed-associated microorganisms represent a promising resource for developing microbiome-based strategies against seed-borne pathogens. Here, we assembled synthetic microbial communities (SynComs) from cultivable members of the natural radish seed microbiota and evaluated their capacity to protect seedlings against the seed-transmitted fungal pathogen Alternaria brassicicola Abra43. Seven SynComs representing single- or multi-kingdom combinations of bacteria (B), filamentous fungi (F), and yeasts (Y) (B, F, Y, BF, BY, FY, and BFY) were inoculated onto radish seeds. We assessed their effects on disease incidence, seedling growth, microbial community assembly (ITS1 and gyrB gene metabarcoding) and pathogen colonization (metabarcoding and specific qPCR on dhn1 gene for A. brassicicola Abra43). Protection of radish seedlings against A. brassicicola Abra43 strongly depended on SynCom composition. The yeast fraction alone provided little protection, whereas the bacterial fraction partially reduced symptoms and maintained seedling growth despite substantial pathogen colonization, suggesting increased plant tolerance. SynComs containing filamentous fungi markedly reduced A. brassicicola Abra43 abundance, and the full multi-kingdom BFY SynCom provided the most consistent protection, combining reduced disease incidence, restored seedling growth, and low pathogen relative and absolute abundance. Inoculated strains, Alternaria alternata ABAI001 and Plectosphaerella sp. FL19 were enriched in protective SynComs and displayed antagonistic activity against A. brassicicola Abra43 in vitro. Together, these results show that seed-derived multi-kingdom communities can reshape early plant microbiota and that combining bacterial and fungal strains with complementary ecological functions can improve protection against a seed-borne fungal pathogen.

microbiology↗

bioRxiv2026

Different spatial profiles of aberrant N-glycans in pediatric and adult MOGHE brain tissue

Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE) is a recently recognized epilepsy-associated lesion frequently linked to brain-restricted somatic variants in SLC35A2, a gene encoding the Golgi UDP-galactose transporter. Although previous studies demonstrated altered glycosylation in SLC35A2-mutated MOGHE tissue, the spatial relationship between glycosylation defects and histopathological abnormalities remains poorly understood. We applied matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) using formalin-fixed paraffin-embedded brain tissue from six histologically confirmed MOGHE cases (three pediatric and three adult) and three temporal lobe epilepsy with hippocampal sclerosis (TLE-HS). We spatially evaluated N-glycan profiles across diagnostic tissue groups, with particular attention to molecular differences between lesional and perilesional regions and to recurrent abundance trends. All MOGHE cases harboured somatic SLC35A2 variants. Histologically, oligodendroglial hyperplasia and heterotopic neurons were present in all cases, while patchy hypomyelination was restricted to pediatric cases. Unsupervised spatial segmentation, integrated with neuropathological evaluation, revealed marked molecular heterogeneity in pediatric MOGHE. In these cases, lesional and perilesional regions were clearly distinguishable in both white matter (WM) and overlying grey matter (GM) boundaries patterns, whereas adult MOGHE and TLE-HS mainly showed a clearcut separation between WM and GM. Spatial analysis confirmed enrichment of the previously reported aberrant N-glycan species m/z 2094 and, to a lesser extent, m/z 2297 within MOGHE tissue, particularly in pediatric lesional WM. Notably, the distribution of m/z 2094 closely overlapped with areas of hypomyelination. Quantitative trajectory analysis of 151 detected N-glycan ions identified recurrent abundance profiles. Three representative spatial patterns emerged: pediatric lesion-enriched, pediatric perilesion-enriched, and TLE-HS-enriched profiles. Pediatric lesions were characterized by increased abundance of multiantennary glycans lacking terminal galactose residues and reduced abundance of galactosylated biantennary and multiantennary structures, consistent with defective UDP-galactose transport. In contrast, adult lesional and perilesional tissues exhibited largely overlapping glycomic profiles. These findings provide the first spatially resolved evidence that glycosylation abnormalities in SLC35A2-mutated MOGHE are closely associated with lesional pathology, particularly hypomyelination, and are substantially more pronounced in pediatric than adult cases. Spatial glycomics may therefore offer new insights into MOGHE pathophysiology and support the development of targeted therapeutic approaches aimed at correcting galactosylation defects.

neuroscience↗

bioRxiv2026

Seed-applied multi-kingdom synthetic communities selectively reshape bacterial communities and highlight key criteria for strain selection

Defined microbial communities (also known as synthetic communities) are showing promising results for plant health but are lacking an efficient lab to field transition. This is the due to limited knowledge on how to efficiently modulate plant microbiota by considering complex environments and multi-kingdom interactions. In this study, we aimed to better understand the transmission and impact of multi-kingdom synthetic communities (SynComs) from the seed to seedling stage. We constructed 20 different SynComs using both a priori and random approaches, from pool of diverse strains including 24 bacteria, 11 yeasts and 10 filamentous fungi. SynComs were inoculated on Brassica napus seeds and we monitored both transmission and impact on the microbiota of 15-day-old seedlings grown in non-sterile soil. Optimization of the inoculation protocol showed that alginate coating improved bacterial, yeast and filamentous fungi concentrations by more than 2 log compared with other approaches. With this inoculation method, we observed contrasted seedling colonization profiles, with SynComs members representing between 1.1-45.7% of bacterial community and 3.2-36.6% of fungal community. Our multiple SynCom design revealed that strain selection is a more critical determinant of SynCom performance than assembly strategy. Even randomly assembled communities performed well, as long as they are drawn from a pool of ecologically relevant, well-adapted taxa. Based on these evidences, we identified key bacterial and fungal traits explaining efficient seedling colonization such as high abundance on inoculated seed and low in vitro lag-time. Despite low colonization levels, we observed that SynCom inoculation altered seeding bacterial community assembly in 14 SynComs. A total of 82 native bacterial ASVs were identified as responsive to SynCom inoculation, most likely originating from the soil. This shift indicates that SynComs influence community assembly by modulating the recruitment of environmental taxa, especially when SynCom strains were more integrated in multi-kingdom network structures. Finally, we identified four distinct SynComs profiles which either colonized strongly or not seedlings while shifting of not native microbiota. Altogether, these findings provide actionable directions for improving SynCom design, suggesting that leveraging ecological processes such as host adaptation, optimal inoculation density, and network integration could enhance both colonization efficiency and plant phenotypic outcomes.

microbiology↗

bioRxiv2026

Molecular Basis of Mycoparasitic Performance: Genomic and Transcriptomic Comparison of Contrasting Trichoderma atroviride Strains

Trichoderma species are widely used as biological control agents due to their ability to parasitize plant pathogens. However, substantial variability in mycoparasitic performance exists among strains, even within the same species, and the underlying molecular mechanisms remain poorly understood. Here, we performed comparative genomic and transcriptomic analyses of six Trichoderma atroviride strains exhibiting contrasting mycoparasitic performance (weakly or highly parasitic; WP or HP) against Alternaria brassicicola, Rhizoctonia solani, and Globisporangium ultimum. Comparative genomics revealed limited strain-specific differences, mainly restricted to NLR (NOD-like receptor) repertoires, with certain NLR-coding genes absent from WP strain genomes compared to HP strains, while overall genomic variation remained low. In contrast, transcriptomic analyses revealed strong differences in gene expression dynamics between HP and WP strains. Co-expression network analysis identified two modules associated with mycoparasitic performance. The first was specifically induced in response to pathogen contact and was enriched in genes encoding cell wall-degrading enzymes, with stronger expression in HP strains. The second module was more broadly overexpressed in HP strains across all conditions and included genes involved in detoxification and defense-related pathways. In addition, this module encompassed genes involved in specialized metabolite biosynthesis and effector-like protein secretion, with WP and HP strains differentially expressing distinct gene subsets within these categories. Together, these results provide a comprehensive framework for identifying the molecular drivers of mycoparasitic performance in T. atroviride. This study deepens our understanding of the functional diversity within the species and establishes a robust foundation for the future development of molecular markers to predict strain efficiency. Highlights- Significant variability in mycoparasitic performance exists within Trichoderma atroviride. - Certain NLR receptor genes are specific to highly parasitic genomes. - Highly parasitic strains show stronger expression of CWDE, ROS detoxification, and defense-related pathways. - Highly and weakly parasitic strains differ in expressed specialized metabolism and effector-like gene sets.

genomics↗

bioRxiv2026

Seed Microbiota Diversity and Culture Collection of Four Major Crops Covering Different Genotypes and Production Modes

Seed microbiota play a crucial role in plant health and development, yet remain understudied compared to other plant-associated microbial communities. This study aimed to characterize seed microbiota diversity across four major crops (common bean, rapeseed, tomato, and wheat) and establish a comprehensive strain collection of seed-borne microorganisms (bacteria and fungi). We employed a combination of culture-dependent and culture-independent approaches to analyze 68 seed samples representing diverse genotypes and production modes. Our results revealed highly variable seed microbiota, with bacterial colonization ranging from 10 to 100 million bacterial CFUs per gram of seeds, and microbial richness varying from 4 to 351 bacterial and 16 to 138 fungal amplicon sequence variants (ASVs) per sample. Both plant genotype and production mode significantly influenced microbiota composition, with each seed sample produced harboring a distinct microbial assemblage. Interestingly, seeds produced in confined environments exhibited lower bacterial colonization but higher microbial richness compared to field-produced seeds. We observed divergent ecological drivers shaping bacterial and fungal communities. Bacterial assemblages were more host-specific and variable, while fungal communities showed greater stability and a substantial core microbiome shared across plant species. Our culturomics approach yielded a collection of 2,510 bacterial and 837 fungal isolates, representing 10-21% of the seed microbiota diversity detected by metabarcoding and the majority of the prevalent and abundant taxa. Notably, 44-60% of cultured bacterial isolates were not detected by metabarcoding, highlighting the complementary nature of these approaches to detect rare or under amplified taxa in PCR. This study provides insights into the complexity and variability of seed microbiota across different crops and production conditions. Our findings emphasize the importance of combining culturomics and sequencing methods for comprehensive characterization of seed microbiota to uncover the potential of seed-borne microorganisms as bioinoculants for sustainable agriculture.

ecology↗

bioRxiv2025

KCNK18 c.1107del frameshift in peripheral neuropathy links TRESK dysfunction to neuropathic pain

Neuropathic pain is commonly accompanied by hyperexcitability of nociceptive neurons, which is driven by regulation of several ion channels, including two-pore domain potassium channels (K2P) that stabilize the resting membrane potential. The TWIK-Related Spinal cord potassium channel (TRESK, K2p18.1) is predominantly expressed in sensory ganglia, where it provides major background K conductance. We describe a heterozygous c.1107del frameshift mutation in KCNK18, encoding TRESK, found in a patient with painful small fiber neuropathy and dysautonomia. This C-terminal c.1107del mutant is predicted to generate an elongated C-terminal domain, with an altered protein sequence. Whole-cell patch calmp recordings showed that the c.1107del variant reduced K current density, while heterozygous-like expression resulted in intermediate currents, consistent with a haploinsufficiency mechanism. Confocal imaging revealed decreased plasma membrane expression, indicating a trafficking-dependent loss of function while oligomerization with TRESK (homomeric channels) or TREK1 remained intact. In silico analysis revealed an altered phosphorylation pattern and reduced C-terminal hydrophobicity in the mutant TRESK. Overall, these findings support c.1107del as a pathogenic KCNK18 variant causing TRESK haploinsufficiency, offering mechanistic insight into the pathophysiology of neuropathic pain.

neuroscience↗

bioRxiv2025

Seed origin determines cork oak germination: the warmer the higher, faster and more synchronized

The early life stages of trees, particularly germination, are crucial to fitness and highly sensitive to climate. The influence of temperature on recalcitrant seed germination has rarely been studied due to their desiccation sensitivity, which hampers storage. However, Mediterranean recalcitrant oaks would be particularly affected by the expected increased temperature in this region. Here we investigated the effect of warming temperatures on germination of 975 acorns from 8 range-wide Quercus suber populations. We sowed the acorns at 15, 20 and 25 {degrees}C in climatic chambers, and monitored germination during 4 months. The germination dynamics in each chamber was explored by a Cox proportional hazards model. We assessed environment (germination experiment temperatures), population (climate of seed origin) and their interaction effects on germination percentage, time, and synchrony using generalized linear mixed-effects models. Genetic clines on germination percentage, time and synchrony were mostly triggered by temperature, with seeds from warmer origins showing higher germination, earlier timing, and greater synchrony than colder ones. Higher sowing temperatures promoted advanced germination, and this effect was higher in seeds originating from regions with stronger seasonality. Earlier and synchronous germination found in seeds from warm origin may reduce the desiccation probability for acorns and seedlings, while late germination and low synchrony found in seeds from cold origin might be an adaptive response to unpredictable frost events that would impair seedling survival. The germination synchrony adaptive response was unexpected and further investigation on recalcitrant seeds germination dynamics in response to increased temperatures is needed to confirm it.

ecology↗

bioRxiv2025

Near-infrared spectroscopy-based models correctly classify Abies alba seed origin and predict germination properties

Forestry industry requires high-quantity and quality seeds for afforestation and assisted migration programs. Finding reliable non-destructive methods to characterize seeds would significantly enhance efforts to identify climate-adapted populations. This study presents near-infrared (NIR) spectroscopy models to classify seed origin and predict germination characteristics at different temperatures non-destructively. We focus on Abies alba Mill., a key European forest tree with genetic variation along climatic gradients and seeds with shallow physiological dormancy. Seeds from six populations were analyzed using NIR spectroscopy, and germination was tested at 15{degrees}C, 20{degrees}C, and 25{degrees}C after stratification treatments at 4{degrees}C (0 or 3 weeks). Population classification accuracy using Partial Least Squares Discriminant Analysis was 69%, with significant NIR peaks at 1712, 1929, and 2111 nm, linked to moisture content and storage compounds. NIR spectra explained 51% and 65% of the variation in germination probability and timing using Partial Least Squares Regression, with significant peaks at 1712, 1929, 2111, 1632, and 2073 nm. General Linear Mixed-Effects Models showed that a NIR predictor contributed to 39% of the germination probability variance explained by fixed-effects, and the stratification treatment was the most important driver explaining germination time. Our results proved the utility of NIR-based tools to effectively classify bulked seeds and predict germination, opening new perspectives to nursery and forestry sectors and populations adaptation and adjustments to warming climate. This study will facilitate further investigations on the physiological processes that occur during dormancy, a critical process for forest regeneration given the expected impact of shorter and warmer winters on seed behavior.

ecology↗

bioRxiv2025

Genomic signatures of climate-driven (mal)adaptation in an iconic conifer, the English yew (Taxus baccata L.)

The risk of climate maladaptation is increasing for numerous species, including trees. Developing robust methods to assess population maladaptation remains a critical challenge. Genomic offset approaches aim to predict climate maladaptation by characterising the genomic changes required for populations to maintain their fitness under changing climates. In this study, we assessed the risk of climate maladaptation in European populations of English yew (Taxus baccata), a long-lived tree with a patchy distribution across Europe, the Atlas Mountains, and the Near East, where many populations are small or threatened. We found evidence suggesting local climate adaptation by analysing 8,616 SNPs in 475 trees from 29 European T. baccata populations, with climate explaining 18.1% of genetic variance and 100 unlinked climate-associated loci identified via genotype- environment association (GEA). Then, we evaluated the deviation of populations from the overall gene-climate association to assess variability in local adaptation or different adaptation trajectories across populations and found the highest deviations in low latitude populations. Moreover, we predicted genomic offsets and successfully validated these predictions using fitness proxies assessed in plants from 26 populations grown in a comparative experiment. Finally, we integrated information from current local adaptation, genomic offset, historical genetic differentiation and effective migration rates to show that Mediterranean and high-elevation T. baccata populations face higher vulnerability to climate change than low-elevation Atlantic and continental populations. Our study demonstrates the practical use of the genomic offset framework in conservation genetics, offers insights for its further development, and highlights the need for a population-centred approach that incorporates additional statistics and data sources to credibly assess climate vulnerability in wild plant populations.

genomics↗

bioRxiv2024

Unexplored Yeast diversity in Seed Microbiota

Yeasts are known to be fantastic biotechnological resources for medical, food, and industrial applications, but their potential remains untapped in agriculture, especially for plant biostimulation and biocontrol. In particular, yeasts have been reported as part of the core microbiome of seeds using next generation sequencing methods, but their diversity and functional roles remain largely undescribed. Focusing on yeasts and excluding filamentous fungi, this study aimed to characterize the diversity of seed-associated yeasts across nine plant species (crops and non-cultivated species) using culturomics and microscopy. Comparison with available metabarcoding data was performed to assess the representativeness of the strain collection in seed samples. Our results show that seed-associated yeasts largely belong to Basidiomycota phylum and more particularly to the Tremellomycetes class. This yeast collection covers 15 genera (2 of Ascomycota and 13 of Basidiomycota). Out of the 229 isolates described, the most frequently isolated yeasts were Holtermanniella, Vishniacozyma, Filobasidium, Naganishia and Sporobolomyces. The yeasts from these dominant genera were isolated from multiple plant species (4 to 8), except for Naganishia which only originated from Solanum lycopersicum L. These results are also consistent with the fact that these dominant taxa were recently identified as members of the core seed microbiome, indicating their high prevalence and abundance across diverse plant hosts and environments. Compared to previous plant yeast diversity surveys, the members from Ascomycota yeasts are less frequent in seeds and only represented here by the Aureobasidium and Taphrina genera. Altogether, these results suggest that yeasts are generally well-adapted to the aboveground habitats of plants, but seeds represent a specific habitat that diverse Basidiomycota yeasts can colonize. Take away messageO_LI229 yeasts isolated from seeds and seedlings of diverse plant species C_LIO_LIMost isolates are Basidiomycota yeasts, especially of the Tremellomycetes class C_LIO_LIThe most frequently isolated yeasts belong to Holtermanniella, Vishniacozyma, Filobasidium and Sporobolomyces genera C_LIO_LIThe collection is representative of taxa found in seed microbiota of multiple plant species, including core members C_LI

microbiology↗

bioRxiv2024

Evaluating genomic offset predictions in a forest tree with high population genetic structure

Predicting how tree populations will respond to climate change is an urgent societal concern. An increasingly popular way to make such predictions is the genomic offset (GO) approach, which aims to use genomic and climate data to identify populations that may experience climate maladaptation in the near future. More precisely, GO tries to represent the change in allele frequencies required to maintain the current gene-climate relationships under climate change. However, the GO approach has major limitations and, despite promising validation of its predictions using height data from common gardens, it still lacks broad empirical testing. In the present study, we evaluated the consistency and empirical validity of GO predictions in maritime pine (Pinus pinaster Ait.), a tree species from southwestern Europe and North Africa with a marked population genetic structure. First, gene-climate relationships were estimated using 9,817 SNPs genotyped in 454 trees from 34 populations; and candidate SNPs potentially involved in climate adaptation were identified. Second, GO was predicted using four methods, namely Gradient Forest (GF), Redundancy Analysis (RDA), latent factor mixed model (LFMM) and Generalised Dissimilarity Modeling (GDM), two sets of SNPs (candidate and control SNPs) and five climate general circulation models (GCMs) to account for uncertainty in future climate predictions. Last, the empirical validity of GO predictions was evaluated within a Bayesian framework by estimating the associations between GO predictions and two independent data sources: mortality data from National Forest Inventories (NFI), and mortality and height data from five common gardens in contrasting environments. We found high variability in GO predictions across methods, SNP sets and GCMs. Regarding validation, GO predictions with GDM and GF (and to a lesser extent RDA) based on the candidate SNPs showed the strongest and most consistent associations with mortality rates in common gardens and NFI plots. We found almost no association between GO predictions and tree height in common gardens, most likely due to the overwhelming effect of population genetic structure on tree height in this species. Our study demonstrates the imperative to validate GO predictions with a range of independent data sources before they can be used as informative and reliable metrics in conservation or management strategies.

evolutionary biology↗

bioRxiv2024

Deciphering the Influence of Socioeconomic Status on Brain Structure: Insights from Mendelian Randomization

Socioeconomic status (SES) influences physical and mental health, however its relation with brain structure is less well documented. Here, we examine the role of SES on brain structure using Mendelian randomisation. First, we conduct a multivariate genome-wide association study of SES using individual, household, and area-based measures of SES, with an effective sample size of n=893,604. We identify 469 loci associated with SES and distil these loci into those that are common across measures of SES and those specific to each indicator. Second, using an independent sample of [~]35,000 we provide evidence to suggest that total brain volume is a causal factor in higher SES, and that SES is protective against white matter hyperintensities as a proportion of intracranial volume (WMHicv). Third, we find evidence that whilst differences in cognitive ability explain some of the causal effect of SES on WMHicv, differences in SES still afford a protective effect against WMHicv, independent of that made by cognitive ability.

genetics↗

bioRxiv2023

COQ4 is required for the oxidative decarboxylation of the C1 carbon of Coenzyme Q in eukaryotic cells

Coenzyme Q (CoQ) is a redox lipid that fulfills critical functions in cellular bioenergetics and homeostasis. CoQ is synthesized by a multi-step pathway that involves several COQ proteins. Two steps of the eukaryotic pathway, the decarboxylation and hydroxylation of position C1, have remained uncharacterized. Here, we provide evidence that these two reactions occur in a single oxidative decarboxylation step catalyzed by COQ4. We demonstrate that COQ4 complements an Escherichia coli strain deficient for C1 decarboxylation and hydroxylation and that COQ4 displays oxidative decarboxylation activity in the non-CoQ producer Corynebacterium glutamicum. Overall, our results substantiate that COQ4 contributes to CoQ biosynthesis, not only via its previously proposed structural role, but also via oxidative decarboxylation of CoQ precursors. These findings fill a major gap in the knowledge of eukaryotic CoQ biosynthesis, and shed new light on the pathophysiology of human primary CoQ deficiency due to COQ4 mutations.

biochemistry↗

bioRxiv2023

Germination timing under climate change: warmer springs favor early germination of range-wide cork oak populations

Climate change is favoring the northward shift of Mediterranean species which are expanding their ranges at their leading edges, becoming natural candidates for increasing forest biodiversity in these regions. However, current knowledge on tree populations responses to climate change is mostly based on adult trees, even if tree early developmental stages are far more sensitive to climate and tightly linked to fitness. To fill this knowledge gap, we investigated the potential adaptation of cork oak range-wide populations to increasing spring temperature in germination and post-germination traits. We sowed 701 acorns from 11 populations at 15, 20 and 25{degrees}C, monitored germination daily and measured post-germination traits. We model germination timing through Coxs proportional-hazards models, assess populations adaptation to spring temperature transfer distances and quantify the effect of acorn mass and storage duration on all considered traits with fixed-effects models. We predict germination and post-germination climate niches under current and RCP 8.5 2080 scenarios. Large differences in germination timing are due to both the population origin and temperature treatment; germination and survival rates showed a sub-optimality towards warmer-than-origin temperatures and heavier acorns produced faster growing seedlings. The timing of germination is the early stage trait most affected by increasing spring temperatures, with germination in 2080 predicted to be 12 days earlier than to date in the northern part of the species range. Warmer spring temperatures will significantly accelerate the germination of other recalcitrant Mediterranean species, which could alter seedlings developmental environment and ultimately populations regeneration and species composition. As such, germination timing should receive more attention by scientists and stakeholders, and should be included in forest vulnerability assessments and assisted migration programs aiming at long-term forest regeneration to adapt forests to climate change.

ecology↗