Mycodiversity of Nature Reserves in Central Italy

Seven nature reserves situated in the province of Arezzo (Tuscany, Central Italy), presenting various habitats, plants and animals of comunitary interest according to the Habitat Directive, have been observed from a myco-floristic viewpoint. A synthesis of the results on fungal investigations is given. Interesting the finding of rare species such as Ramariopsis pulchella and Mycena diosma

Combined impact of forest management and climate change on Boletus edulis productivity: may mycosilviculture mitigate the effects of climate extremes?

Climate change can affect forest ecosystems, especially through an increase of extreme events. In order to verify whether mycosilvicultural practices could mitigate the effects of climate change, productivity of Boletus edulis in Abies alba managed plantations was correlated to intense rainfall and temperature peaks during three years. Fungal productivity in each of the 21 days following an extreme climatic event was considered. Results showed that sudden increases in maximum temperature seemed to have an inhibitory effect on B. edulis productivity in sites with no or modest thinning. In sites with heavy thinning, productivity seemed to be favoured by high temperatures, starting from the twentieth day following the extreme event. Mycosilviculture may mitigate the climate change effects; however, further studies are needed to verify how climate-dominated effects can be altered by local factors and how ecological relationship between B. edulis and forest ecosystem will be affected

Wood-Decay Fungi Fructifying in Mediterranean Deciduous Oak Forests: A Community Composition, Richness and Productivity Study.

first_pagesettingsOrder Article Reprints Open AccessArticle Wood-Decay Fungi Fructifying in Mediterranean Deciduous Oak Forests: A Community Composition, Richness and Productivity Study by Ángel Ponce 1,2,Elena Salerni 3,*ORCID,Maria Nives D’Aguanno 4ORCID andClaudia Perini 3,5ORCID 1 Department of Agricultural and Forest Sciences and Engineering, University of Lleida, Av. Alcalde Rovira Roure 191, E-25198 Lleida, Spain 2 Joint Research Unit CTFC—AGROTECNIO—CERCA, Av. Alcalde Rovira Roure 191, E-25198 Lleida, Spain 3 Department of Life Sciences, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy 4 Institute of Microbiome and Applied Sciences, Malta Life Sciences Park (LS2.1.12—LS2.1.15), SGN 3000 San Gwann, Malta 5 NBFC, National Biodiversity Future Center, 90133 Palermo, Italy * Author to whom correspondence should be addressed. Forests 2023, 14(7), 1326; https://doi.org/10.3390/f14071326 Received: 5 June 2023 / Revised: 23 June 2023 / Accepted: 25 June 2023 / Published: 28 June 2023 (This article belongs to the Special Issue Diversity, Abundance, and Distribution of Wood-Decay Fungi) Download Browse Figures Review Reports Versions Notes Abstract Deadwood is involved in several important ecological roles, being the fundamental habitat of wood-decay fungi. At the same time, this polyphyletic group of fungi is the principal agent of wood decomposition, regulating the carbon cycle and the food resource for many other organisms. It is known that the diversity and community composition of wood-decay fungi are related to the tree species, decay stage and size of the woody debris in which they are living. Nevertheless, there is a lack of information on Mediterranean Quercus cerris L. forests. In response, we explored how wood-decay fungi colonize different woody types and how the productivity, richness and community composition of these fungi is influenced by the decay stage and size of the deadwood. Our results indicate that the studied groups, i.e., Ascomycetes, Corticioids, Polyporoids and Heterobasidiomycetes responded differently to the woody debris classes. Moreover, we note the high importance of smaller and soft-decayed woody debris for community composition and richness, hosting a great number of species, in addition to the positive effect of the heterogeneity of the woody debris size for wood-decay fungi productivity

Effects of wild boar grazing on the yield of summer truffle (Tuscany, Italy)

The research presented here seeks to describe the impact of wild boar to a natural truffle ground of Tuber aestivum Vittad. on Monte Amiata (Tuscany – Italy). Pedoclimatic analyses indicated that the selected area could be considered suitable for the truffle production. Then classification of the vegetation of a Quercus cerris forest was carried out exploring the possibility of the BACI (Before-After-Control-Impact) sampling design. Finally 10 plots were selected, half of which have been fenced. For the first time the impact of wild boar was evaluated by estimating the surface area turned over by its activity. Moreover in each plot the number and weight of summer truffles was performed every 10 days during the fruiting period (June-November 2006-2008). The hypothesis that the presence of Sus scrofa has a strong negative influence on truffle harvesting has been amply confirmed by the data presented here, given the large increase of fruiting bodies of the summer truffle collected in the fenced plots. Consequently the destructive behaviour of the wild boar imply not only an ecological but also an economic damage in areas in which non-wood forest products are an important source of income

Mind‐mindedness and parenting stress in mothers of preterm and full‐term infants: The moderating role of perceived social support

The goal of this study was to examine the effects of preterm birth and maternal childbirth‐related posttraumatic stress and parenting stress on maternal mind‐mindedness (MM). The study also investigated the effects of perceived social support on parenting stress and MM. Sixty‐five preterm (N = 32) and full‐term (N = 33) mother–infant dyads were observed at 6 months. Measures of maternal MM were obtained from observations of mother–infant interaction. Mothers also provided ratings of their posttraumatic stress disorder (PTSD) symptoms, parenting stress, and perceived social support via an online survey. Experiencing a preterm birth did not affect mothers’ use of mental state descriptors during mother–infant interaction. Neither childbirth‐related posttraumatic stress nor parenting stress directly affected maternal ability to comment on the child's mental states appropriately. However, at medium and high levels of perceived social support, a negative association between parenting stress and MM was observed. Maternal perception of being emotionally supported by significant others promoted MM in mothers showing low or mild levels of parenting stress, but not in mothers experiencing high stress in parenting their infants. Results suggest that a proclivity to MM might be affected by the interaction between parenting stress and social support, rather than by childbirth‐related variables, such as prematurity

Mycocoenology in Abies alba Miller woods of central-southern Tuscany (Italy)

Numerous reports indicate that fir woods in central and northern Europe have recently been damaged by increasing pollution. It has been demonstrated that fungi can be good bioindicators of forest health status. In polluted areas the production of fruit bodies generally declines and the fungal biodiversity, especially of symbiotic species, is reduced. Here we report the results of a survey of the fungal and plant communities in woods of Abies alba Miller in central-southern Tuscany, already studied in the past. Certain changes were observed in the study areas, but they seem more likely to be due to other factors than pollution, such as the weather conditions, the age and natural evolution of the forests towards their climax

Arable plant communities as a surrogate of crop rhizosphere microbiota

Soil microbiota is a crucial component of agroecosystem biodiversity, enhancing plant growth and providing impor-tant services in agriculture. However, its characterization is demanding and relatively expensive. In this study, we eval-uated whether arable plant communities can be used as a surrogate of bacterial and fungal communities of therhizosphere of Elephant Garlic (Allium ampeloprasum L.), a traditional crop plant of central Italy. We sampled plant,bacterial, and fungal communities, i.e., the groups of such organisms co-existing in space and time, in 24 plots locatedin eight fields and four farms. At the plot level, no correlations in species richness emerged, while the composition ofplant communities was correlated with that of both bacterial and fungal communities. As regards plants and bacteria,such correlation was mainly driven by similar responses to geographic and environmental factors, while fungal com-munities seemed to be correlated in species composition with both plants and bacteria due to biotic interactions. Allthe correlations in species composition were unaffected by the number of fertilizer and herbicide applications,i.e., agricultural intensity. Besides correlations, we detected a predictive relationship of plant community compositiontowards fungal community composition. Our results highlight the potential of arable plant communities to be used as asurrogate of crop rhizosphere microbial communities in agroecosystems

Carriers of ADAMTS13 Rare Variants Are at High Risk of Life-Threatening COVID-19

Thrombosis of small and large vessels is reported as a key player in COVID-19 severity. However, host genetic determinants of this susceptibility are still unclear. Congenital Thrombotic Thrombocytopenic Purpura is a severe autosomal recessive disorder characterized by uncleaved ultra-large vWF and thrombotic microangiopathy, frequently triggered by infections. Carriers are reported to be asymptomatic. Exome analysis of about 3000 SARS-CoV-2 infected subjects of different severities, belonging to the GEN-COVID cohort, revealed the specific role of vWF cleaving enzyme ADAMTS13 (A disintegrin-like and metalloprotease with thrombospondin type 1 motif, 13). We report here that ultra-rare variants in a heterozygous state lead to a rare form of COVID-19 characterized by hyper-inflammation signs, which segregates in families as an autosomal dominant disorder conditioned by SARS-CoV-2 infection, sex, and age. This has clinical relevance due to the availability of drugs such as Caplacizumab, which inhibits vWF-platelet interaction, and Crizanlizumab, which, by inhibiting P-selectin binding to its ligands, prevents leukocyte recruitment and platelet aggregation at the site of vascular damage

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

Carriers of single pathogenic variants of the CFTR (cystic fibrosis transmembrane conductance regulator) gene have a higher risk of severe COVID-19 and 14-day death. The machine learning post-Mendelian model pinpointed CFTR as a bidirectional modulator of COVID-19 outcomes. Here, we demonstrate that the rare complex allele [G576V;R668C] is associated with a milder disease via a gain-of-function mechanism. Conversely, CFTR ultra-rare alleles with reduced function are associated with disease severity either alone (dominant disorder) or with another hypomorphic allele in the second chromosome (recessive disorder) with a global residual CFTR activity between 50 to 91%. Furthermore, we characterized novel CFTR complex alleles, including [A238V;F508del], [R74W;D1270N;V201M], [I1027T;F508del], [I506V;D1168G], and simple alleles, including R347C, F1052V, Y625N, I328V, K68E, A309D, A252T, G542*, V562I, R1066H, I506V, I807M, which lead to a reduced CFTR function and thus, to more severe COVID-19. In conclusion, CFTR genetic analysis is an important tool in identifying patients at risk of severe COVID-19

An explainable model of host genetic interactions linked to COVID-19 severity

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as "Respiratory or thoracic disease", supporting their link with COVID-19 severity outcome.A multifaceted computational strategy identifies 16 genetic variants contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing dataset of a cohort of Italian patients