Biology subjects

Borghi, C.

Publications and source records attributed to Borghi, C..

4 recordsLinked to original sources

bioRxiv2026

Investigating climate-phenology relationships among the most common Italian forest species using Sentinel-2-derived vegetation phenology and productivity products

Climate change is profoundly altering forest phenology and productivity across Europe, with particularly strong impacts in Mediterranean regions characterized by high climatic heterogeneity. Understanding how climatic and site-specific drivers regulate the start, end, and length of the growing season, and how these phenological shifts translate into productivity responses, remains a key challenge for predicting forest carbon dynamics. In this study, we investigate phenological timing and total seasonal productivity across multiple Italian forest species spanning Mediterranean, temperate, and mountain environments, leveraging the new High-Resolution Vegetation Productivity and Phenology product from the Copernicus Land Monitoring Service, machine learning (random forests) modeling, and explainable artificial intelligence analysis (SHAP). Our results confirm a general lengthening of the growing season driven mainly by chilling accumulation and spring temperatures. Warmer conditions advance the start of the season by 1-10 days across species, while the combined effects of temperature, radiation, and moisture can extend the growing season by up to 20-30 days. End-of-season dynamics and season length are more strongly controlled by light and water availability than by temperature alone. In several Mediterranean species, the end of the season can advance by up to 40 days due to summer drought, high vapor pressure deficit, and site exposure. Mediterranean species often show compensatory shifts between season onset and senescence, maintaining a relatively stable length of the season, whereas mountain species exhibit a tighter coupling between delayed onset and shortened season length. Phenological shifts are frequently decoupled from productivity, which is mainly regulated by energy and water availability, highlighting species- and site-specific responses to climate change. The findings of this study highlight the substantial advantage of remote sensing data, coupled with machine learning approaches, for advancing the understanding of forest phenology and productivity across broad spatial and climatic gradients.

ecology↗

bioRxiv2026

Integrating Earth Observation and Graph Theory to Evaluate Urban Green Spaces Connectivity Across European Capitals

ContextAs global urbanization intensifies, Urban Green Spaces (UGS) are pivotal for biodiversity conservation and climate change mitigation. However, comparative assessments of UGS spatial configuration and connectivity across diverse urban landscapes remain limited. ObjectivesThis study aims to assess the spatial arrangement and connectivity of UGS across 28 European capital cities. Additionally, we evaluate how Network Science metrics derived from Graph Theory can complement traditional landscape ecology metrics to provide a more comprehensive understanding of UGS at a large scale. MethodsWe developed a European Urban Vegetation Map using Earth observation data to classify UGS at 10m resolution across the selected capitals. We then analyzed UGS connectivity for each city utilizing 40 traditional landscape metrics and a Graph-Theory-based approach. ResultsWhile traditional landscape metrics effectively quantified fragmentation, they often remain strongly correlated with total vegetation abundance. In contrast, Network Science metrics provided specific insights into UGS functional connectivity, distinguishing the quality of ecological links beyond spatial proximity. This integration allowed us to cluster European capitals into three distinct typologies: unconnected compact cities, large metropolises with complex peri-urban dynamics, and high-connectivity cities with robust networks. These findings demonstrate that graph-based indices effectively complement traditional metrics, highlighting that relying solely on green space percentage is insufficient for assessing the ecological resilience of urban environments. ConclusionsThese results underscore the relevance of Earth observation-based UGS assessment and demonstrate that graph-based landscape connectivity analysis outperforms simple abundance metrics. Therefore, effective assessment requires integrating structural metrics with graph-based connectivity to support resilient urban biodiversity.

ecology↗

bioRxiv2025

An evolutionarily conserved role for separase in the regulation of nuclear lamins

Separase is a well conserved endopeptidase that facilitates sister chromatid separation at the metaphase-anaphase transition by cleaving cohesins. Beyond its role in chromosome segregation, Separase also participates in various biological processes, including chromatin organization and replication, centrosome disengagement and duplication, cytokinesis, and telomere capping. Here, we report that the loss of Drosophila separase (Sse) function induces significant changes in global protein expression and affects the protein levels of both A/C-type lamin C (LamC) and B-type lamin Dm0 (Dm0). We further demonstrate that SSE physically interacts with lamins and colocalizes with them at the nuclear envelope during interphase. Additionally, loss of SSE activity disrupts nuclear organization in larval muscles and impairs locomotion in adult flies. Notably, similar to SSE in flies, depletion of human separase (ESPL1) in SV40 fibroblasts leads to misshapen nuclei and increased levels of lamin A. Moreover, we show that ESPL1 interacts with lamin A in human fibroblasts, suggesting that the functional interaction between Separase and lamins is evolutionarily conserved across different organisms.

genetics↗

bioRxiv2023

Natural mutations of human XDH promote the nitrite (NO2-)-reductase capacity of xanthine oxidoreductase: a novel mechanism to promote redox health?

Several rare genetic variations of human XDH have been shown to alter xanthine oxidoreductase (XOR) activity leading to impaired purine catabolism. However, XOR is a multi-functional enzyme that depending upon the environmental conditions also expresses oxidase activity leading to both O {middle dot}- and H O and nitrite ({middle dot}NO -) reductase activity leading to NO. Since these products express important, and often diametrically opposite, biological activity consideration of the impact of XOR mutations in the context of each aspect of the biochemical activity of the enzyme is needed to determine the potential full impact of these variants. Herein, we show that known naturally occurring hXDH mutations do not have a uniform impact upon the biochemical activity of the enzyme in terms of uric acid (UA), reactive oxygen species (ROS) and nitric oxide ({middle dot}NO) formation. We show that the His1221Arg mutant, in the presence of xanthine, increases UA, O2{middle dot}- and NO generation compared to the WT, whilst the Ile703Val increases UA and {middle dot}NO formation, but not O2{middle dot}-. We speculate that this change in the balance of activity of the enzyme is likely to endow those carrying these mutations with a harmful or protective influence over health that may explain the current equipoise underlying the perceived importance of XDH mutations. We also suggest that targeting enzyme activity to enhance the NO2--reductase profile in those carrying such mutations may provide novel therapeutic options, particularly in cardiovascular disease. HighlightsO_LIMutations of xanthine oxidoreductase modulate both its expression and activity C_LIO_LIThe His1221Arg natural mutation increases xanthine oxidoreductase activity C_LIO_LIRaised xanthine oxidoreductase activity coupled with increased availability of nitrite substrate leads to increased NO provision C_LI

biochemistry↗