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Amplicon sequencing and culture-dependent approaches reveal core bacterial endophytes aiding freezing stress tolerance in alpine Rosaceae plants
Get PDFWild plants growing in alpine regions are associated with endophytic microbial communities that may support plant growth and survival under cold conditions. The structure and function of endophytic bacterial communities were characterized in flowers, leaves, and roots of three alpine Rosaceae plants in Alpine areas using a combined amplicon sequencing and culture-dependent approaches to determine the role of core taxa on plant freezing stress tolerance. Amplicon sequencing analysis revealed that plant tissue, collection site, and host plant are the main factors affecting the richness, diversity, and taxonomic structure of endophytic bacterial communities in alpine Rosaceae plants. Core endophytic bacterial taxa were identified as 31 amplicon sequence variants highly prevalent across all plant tissues. Psychrotolerant bacterial endophytes belonging to the core taxa of Duganella, Erwinia, Pseudomonas, and Rhizobium genera mitigated freezing stress in strawberry plants, demonstrating the beneficial role of endophytic bacterial communities and their potential use for cold stress mitigation in agriculture.IMPORTANCEFreezing stress is one of the major abiotic stresses affecting fruit production in Rosaceae crops. Current strategies to reduce freezing damage include physical and chemical methods, which have several limitations in terms of costs, efficacy, feasibility, and environmental impacts. The use or manipulation of plant-associated microbial communities was proposed as a promising sustainable approach to alleviate cold stress in crops, but no information is available on the possible mitigation of freezing stress in Rosaceae plants. A combination of amplicon sequencing, culture-dependent, and plant bioassay approaches revealed the beneficial role of the endophytic bacterial communities in alpine Rosaceae plants. In particular, we showed that culturable psychrotolerant bacterial endophytes belonging to the core taxa of Duganella, Erwinia, Pseudomonas, and Rhizobium genera can mitigate freezing stress on strawberry seedlings. Overall, this study demonstrates the potential use of psychrotolerant bacterial endophytes for the development of biostimulants for cold stress mitigation in agricultur
Quantification of carbopeaking and fluxes in a regulated Alpine river
No full textCarbon dioxide (CO2) fluxes in regulated Alpine rivers are driven by multiple biogeochemical and anthropogenic processes, acting on different spatiotemporal scales. We quantified the relative importance of these drivers and their effects on the dynamics of CO2 concentration and atmospheric exchange fluxes in a representative Alpine river segment regulated by a cascading hydropower system with diversion, which includes two residual flow reaches and a reach subject to hydropeaking. We combined instantaneous and time-resolved water chemistry and hydraulic measurements at different times of the year, and quantified the main CO2 fluxes by calibrating a one-dimensional transport-reaction model with measured data. As a novelty compared to previous inverse modeling applications, the model also included carbonate buffering, which contributed significantly to the CO2 budget of the case study. The spatiotemporal distribution and drivers of CO2 fluxes depended on hydropower operations. Along the residual flow reaches, CO2 fluxes were directly affected by the upstream dams only in the first ∼ 2.5 km, where the supply of supersaturated water from the reservoirs was predominant. Downstream of the hydropower diversion outlets, the CO2 fluxes were dominated by systematic sub-daily fluctuations in CO2 transport and evasion fluxes (“carbopeaking”) driven by hydropeaking. Hydropower operational patterns and regulation approaches in Alpine rivers affect fluxes and their response to biogeochemical drivers significantly across different temporal scales. Our findings highlight the importance of considering all scales of CO2 variations for accurate quantification and understanding of these impacts, to clarify the role of natural and anthropogenic drivers in global carbon cycling
The effect of Alpine herbs on the microbiota of In Vitro rumen fermentation
Get PDFMilk from cows grazing on alpine pastures has higher quality than milk from indoor-fed cows, likely due to diet-driven differences in rumen microbiota. We assessed the effects of supplementing alpine herbs—each varying in its content of fiber, protein, and polyphenol—on rumen microbiota via in vitro fermentation, comparing these to a grass hay control using metagenomic sequencing. Fermentations with alpine herbs compared to grass hay control had higher content of fibrolytic Prevotella and lower abundances of Butyrivibrio, Ruminococcaceae, Anaerovibrio, Succiniclasticum, and Desulfovibrio. Fermentations with high starch content (Alchemilla vulgaris, Gallium odoratum and Sanguisorba officinalis) had low, microbial diversity, while fermentations with high content of structural fibre (Sisymbrium officinale, Tanacetum vulgare, and Cicerbita alpina) had high microbial diversity. C. alpina, Sa. officinalis, and T. vulgare fermentations that had high lignin content showed a higher abundance of Bacteroidetes and a lower abundance of Firmicutes. Fermentations with high protein content (G. odoratum and T. vulgare) induced higher abundance of fibrolytic Lachnospiraceae. Sa. officinalis and A. vulgaris fermentations with high content of polyphenols were associated with increased abundances of Streptococcus and family RF-16 and lower abundances of family BS11 and Desulfovibrio. Fermentations with C. alpina and Si. Officinale induced higher abundance of fibrolytic Fibrobacter succinogenes. The beta diversity between fermentations corresponded to differences in the contents of protein, lignin, and polyphenols in the plant material. In conclusion, different herbs can promote the abundance of various fibrinolytic bacteria and change the microbial diversity, which has potential to increase the feed efficiency and the robustness of microbiota and reduce methane productio
Aerial dispersal of Venturia inaequalis ascospores with under-canopy sprinkler irrigation for apple scab management
Get PDFSprinkler irrigation systems can release ascospores of Venturia inaequalis, the cause of apple scab, from infected leaves on the ground under conditions unsuitable for infection, and thus reducing the primary inoculum. Under-canopy irrigation was carried out for two hours in the middle of the day over overwintered apple leaves heavily infected with scab, either in a wind-protected enclosure or in a wind-exposed orchard. Ascospores were captured with rotating-arm spore traps at heights ranging from 0.3 m to 3.0 m above the ground. Ascospores dispersed above the irrigated layer and were detected at all heights above the sprinklers. Wind played a critical role in spore transport, evident from the set-up where wind interference was minimised by a wind fence, resulting in higher airborne spore numbers across all measured heights compared with the orchard exposed to unrestricted wind conditions. Furthermore, vertical temperature gradients significantly correlated with spore distributions, particularly where negative gradients at heights between 0.3 m and 0.05 m and positive gradients at heights between 1.0 m and 0.3 m led to spore retention within the irrigated zone. The findings highlight that ascospores, dispersed above the irrigated layers, could settle on susceptible tissues. It thus becomes imperative to ensure a rain-free period of at least 24 h post-irrigation and, if a rainfall shortly occurs after irrigation, the application of curative fungicides becomes essential following unexpected rain. Reliable weather forecasts are therefore crucial in determining the effectiveness of under-canopy irrigation to reduce apple scab incidenc
Use of process-based coupled ecological-hydrodynamic models to support lake water ecosystem service protection planning at the regional scale
Get PDFProtection plans of lake waters are based on ecological and/or chemical targets, often simplified in terms of total phosphorus (TP) concentrations, customarily the depth-averaged ones at spring mixing for temperate environments. These target lake TP concentrations are then commonly employed to determine target external loading through reverse use of Vollenweider-OECD-type steady-state empirical models. Such models are also adopted in their direct form to estimate lake TP concentrations following hypothetical external load reductions. However, such approaches suffer from extreme parameterisation and often give inaccurate results. Process-based coupled ecological-hydrodynamic models offer a much wider flexibility and produce an extensive set of information, solving many of the issues of Vollenweider-OECD-type models. However, their application has been up to now restricted to single lakes due to calibration effort and data availability burdens. To overcome these obstacles, in this study we developed a simplified application of the process-based coupled model QWET over 9 lakes in Northern Italy, making use of the ParSAC automatic calibration tool and feeding the models only with general data available from public monitoring. QWET models were calibrated over past observations, simulating nutrient reduction scenarios for the near-future decades. The advantages over traditionally employed models for lake water protection planning at the regional scale were hence identified through a practical application, determining the strengths and limits of the herein-adopted simplified process-based approach over lakes with different features. Obtained results were also analysed considering the specific case stud
The Hansen's baccata #2 gene Rvi12_Cd5 confers scab resistance to the susceptible apple cultivar “Gala Galaxy”
Get PDFTo enhance the breeding of new scab-resistant apple cultivars, a comprehensive understanding of the mechanisms governing major scab resistance genes is essential. Rvi12_Cd5 was previously identified as the best candidate gene for the Rvi12 scab resistance of the crab apple “Hansen’s baccata #2” by gene prediction and in silico analysis. In the present study, Rvi12_Cd5 was used to transform the scab-susceptible apple cultivar “Gala Galaxy.” Two constructs were prepared: the first carrying Rvi12_Cd5 under the control of a 35S promoter and E9 terminator, and the second carrying Rvi12_Cd5 under the control of its native promoter and terminator. All the transgenic lines were analyzed for T-DNA integration, copy number, and expression of Rvi12_Cd5 and phenotypically evaluated for scab resistance. The “Gala Galaxy” lines carrying the 35S promoter expressed Rvi12_Cd5 at a high level, showing partial to high resistance against a mixed inoculum of Venturia inaequalis, with symptoms ranging from class 0 to 3b on the Chevalier scale. The transgenic lines carrying the native promoter showed a lower expression of Rvi12_Cd5 compared with the 35S lines. Nevertheless, the low expression was sufficient to induce a resistance level comparable to that of the transgenic lines carrying the 35S promoter. These results indicate that Rvi12_Cd5 confers scab resistance to a susceptible apple cultivar and that even a low level of gene transcript can trigger a plant response to V. inaequalis infection. After HcrVf2 and Vr2-C, Rvi12_Cd5 is the third major apple scab resistance gene being functionally prove
The Zanzemap project: artificial Intelligence models to forecast vector dynamics in Northern Italy
No full textDeciphering the genetic control of fruit storability in pear fruit through a multi-parental cross designed based approach
Get PDFGender moderates the associations between responsiveness to alarming oral sensations, depressive symptoms, and dietary habits in adolescents
Get PDFBackground/Objectives: As a peripheral effect of depression-related traits, sensory responses may predispose individuals to depressive symptoms by prompting suboptimal dietary patterns with long-term effects on mood. Mood disturbances in adolescence are strong predictors of adult mental illness, making it crucial to identify factors that may shift transient mood fluctuations into more severe mental health issues during this vulnerable period. Given the substantial gender differences in susceptibility to comorbidities of depression, we examined whether the link between sensory perception and depressive symptoms in nonclinical adolescents varied by gender and was related to dietary habits. Methods: In this cross-sectional study, 232 healthy adolescents (41.8% girls, aged 13–17) reported their diet over the past year using the EPIC Food Frequency Questionnaire and rated their liking and perceived intensity of oral sensations from four grapefruit juices and dark chocolate puddings with varying sucrose levels. Additionally, participants completed assessments of anxiety, neuroticism, pickiness, body dissatisfaction, and the Patient Health Questionnaire (PHQ-9) to evaluate depressive symptoms. Results: We found that girls exhibited higher levels of depression, anxiety, neuroticism, and pickiness compared to boys (Wilcoxon Rank Sum Test), and that greater responsiveness to bitterness (e.g., β = 0.264, p = 0.037) and astringency (β = 0.269, p = 0.029) predicted higher depressive symptoms exclusively in girls. PHQ-9 scores were positively associated with alcohol use in both girls (ρ = 0.176, p = 0.003) and boys (ρ = 0.148, p = 0.004) and inversely related to the intake of beneficial nutrients (e.g., fiber, polyunsaturated fats), particularly in girls. Intriguingly, moderation analyses suggested that associations between nutrient intake and acuity for alarming oral sensations were largely moderated by depression-related traits in girls, but not in boys. Conclusions: Our findings suggest that gender moderates the links between depressive symptoms, sensory perception, and dietary habits in healthy adolescents, possibly reflecting gender-specific coping strategies for comorbidities of depressio
Advancing arthropod vector management through integrated models
No full textVector-borne diseases present an increasing public health challenge, due to the expanding range and elevating activity of key vectors, such as mosquitoes and ticks. To address these challenges, we aim to integrate different modelling approaches, combining insights from correlative and mechanistic frameworks to enhance vector surveillance and risk prediction. Our efforts focus on developing predictive tools that are adaptable to various geographical contexts and can provide useful public health guidance in response to environmental and climate change. We present a range of initiatives currently under development that combine advanced Artificial Intelligence (AI) and machine learning with mechanistic models to forecast mosquito and tick activity. While AI models leverage high-resolution climate data, including satellite observations, to predict vector dynamics, mechanistic models provide complementary insights into vectors' seasonal dynamics and population trends thanks to their simulation of biological processes. Preliminary results highlight the strengths and limitations of individual modelling approaches and ensemble approaches demonstrate the potential for more accurate predictions, particularly in complex or data-scarce settings. The research outputs include a user-friendly, real-time dashboard featuring intuitive visualizations of vector activity and actionable recommendations to inform public health initiatives and personal protective behaviours. These tools empower local stakeholders by facilitating proactive interventions, such as targeted vector control measures and public awareness campaigns. Our work not only enhances local vector management but also establishes a scalable framework applicable to other regions facing similar challenges. By integrating multiple modelling paradigms and fostering collaboration between modellers and public health stakeholders, we aim to advance vector surveillance, mitigate public health risks, and improve quality of life in the face of evolving environmental pressure