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663. New tools and recommendations for a better management of harmful algal blooms under the European Marine Strategy Framework DirectiveYolanda Sagarmínaga, Esther Garcés, Janja Francé, Rowena Stern, Marta Revilla, Erika Magaletti, Eileen Bresnan, George Tsirtsis, 2023, pregledni znanstveni članek Povzetek: Marine harmful algal blooms (HABs), caused by various aquatic microalgae, pose significant risks to ecosystems, some socio-economic activities and human health. Traditionally managed as a public health issue through reactive control measures such as beach closures, seafood trade bans or closure of mollusc production areas, the multifaceted linkages of HABs with environmental and socio-economic factors require more comprehensive ecosystem-based management approach tools to support policies. This study promotes a coordinated understanding and implementation of HAB assessment and management under the Marine Strategy Framework Directive (MSFD), targeting the achievement of Good Environmental Status (GES) in European marine waters. We introduce two novel tools: GES4HABs (GES for HABs) decision tree, and MAMBO (environMental mAtrix for the Management of BlOoms), a decision support matrix. These tools aim to streamline HABs reporting and prioritize resource allocation and management interventions. The GES4HABs decision tree defines a sequence of decision steps to identify HAB management strategies according to their state (evaluated against predefined baselines) and causes (anthropic or natural). MAMBO is proposed to address different HABs and their interaction with human and environmental pressures. The matrix utilizes two axes: natural trophic status and level of human influence, capturing major aspects such as nutrient supply. While acknowledging the limitations of this simplified framework, MAMBO categorizes marine regions into quadrants of varying management viability. Regions with high human influence and eutrophic conditions are identified as most suitable for effective management intervention, whereas regions with minimal or mixed human influence are deemed less amenable to active management. In addition, we explore and describe various indicators, monitoring methods and initiatives that may be relevant to support assessments of HAB status and associated pressures and impacts in the MSFD reporting. Finally, we provide some recommendations to promote the consideration of HABs in ecosystem-based management strategies, intensify efforts for harmonizing and defining best practices of analysis, monitoring and assessment methodologies, and foster international and cross-sectoral coordination to optimize resources, efforts and roles. Ključne besede: decision support tools, ecosystem-based management, indicators, marine monitoring, eutrophication, marine biotoxins, environmental assessment, pressures and impacts Objavljeno v DiRROS: 05.08.2024; Ogledov: 245; Prenosov: 253 Celotno besedilo (1,78 MB) Gradivo ima več datotek! Več... |
664. Bird (aves) descriptions of Joannes Antonius Scopoli (1723-1788) : general overviewAl Vrezec, 2023, pregledni znanstveni članek Povzetek: Author of at least 175 new bird taxa, of which 59 taxa are still valid today, Joannes Antonius Scopoli (1723-1788) is one of the most important creators of ornithological history worldwide, yet often overlooked because his ornithological legacy remains poorly researched and known. His most important scientific work was conducted in Carniola (present-day Slovenia) between 1754 and 1769 and resulted in numerous publications. These include bird studies published in Annus I. Historico Naturalis, Descriptiones Avium (1769), while later studies were devoted to the revision of other explorer datasets, the most important being descriptions of birds from Pierre Sonnerat’s expeditions. The paper presents an overview of the all new bird taxa described by Scopoli. Ključne besede: history of science, ornithology, collection, taxonomy, type specimens, zoological nomenclature, zoology Objavljeno v DiRROS: 05.08.2024; Ogledov: 230; Prenosov: 176 Celotno besedilo (4,17 MB) Gradivo ima več datotek! Več... |
665. Molecular screening for cyanobacteria and their cyanotoxin potential in diverse habitatsMaša Jablonska, Tina Eleršek, Polona Kogovšek, Sara Skok, Andreea Oarga-Mulec, Janez Mulec, 2024, izvirni znanstveni članek Povzetek: Cyanobacteria are adaptable and dominant organisms that exist in many harsh and extreme environments due to their great ecological tolerance. They produce various secondary metabolites, including cyanotoxins. While cyanobacteria are well studied in surface waters and some aerial habitats, numerous other habitats and niches remain underexplored. We collected 61 samples of: (i) biofilms from springs, (ii) aerial microbial mats from buildings and subaerial mats from caves, and (iii) water from borehole wells, caves, alkaline, saline, sulphidic, thermal, and iron springs, rivers, seas, and melted cave ice from five countries (Croatia, Georgia, Italy, Serbia, and Slovenia). We used (q)PCR to detect cyanobacteria (phycocyanin intergenic spacer—PC-IGS and cyanobacteria-specific 16S rRNA gene) and cyanotoxin genes (microcystins—mcyE, saxitoxins—sxtA, cylindrospermopsins—cyrJ), as well as amplicon sequencing and morphological observations for taxonomic identification. Cyanobacteria were detected in samples from caves, a saline spring, and an alkaline spring. While mcyE or sxtA genes were not observed in any sample, cyrJ results showed the presence of a potential cylindrospermopsin producer in a biofilm from a sulphidic spring in Slovenia. This study contributes to our understanding of cyanobacteria occurrence in diverse habitats, including rare and extreme ones, and provides relevant methodological considerations for future research in such environments. Ključne besede: extreme environments, cylindrospermopsin, sulphidic springs, caves, qPCR, PC-IGS Objavljeno v DiRROS: 05.08.2024; Ogledov: 282; Prenosov: 182 Celotno besedilo (1,09 MB) Gradivo ima več datotek! Več... |
666. ELIXIR and toxicology : a community in development [version 2; peer review: 2 approved]Marvin Martens, Rob Stierum, EL Schymanski, Chris T Evelo, Anže Županič, 2023, pregledni znanstveni članek Povzetek: Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-specific predictive models. Traditionally, toxicology has strong links with other fields such as biology, chemistry, pharmacology, and medicine. With the rise of synthetic and new engineered materials, alongside ongoing prioritisation needs in chemical risk assessment for existing chemicals, early predictive evaluations are becoming of utmost importance to both scientific and regulatory purposes. ELIXIR is an intergovernmental organisation that brings together life science resources from across Europe. To coordinate the linkage of various life science efforts around modern predictive toxicology, the establishment of a new ELIXIR Community is seen as instrumental. In the past few years, joint efforts, building on incidental overlap, have been piloted in the context of ELIXIR. For example, the EU-ToxRisk, diXa, HeCaToS, transQST, and the nanotoxicology community have worked with the ELIXIR TeSS, Bioschemas, and Compute Platforms and activities. In 2018, a core group of interested parties wrote a proposal, outlining a sketch of what this new ELIXIR Toxicology Community would look like. A recent workshop (held September 30th to October 1st, 2020) extended this into an ELIXIR Toxicology roadmap and a shortlist of limited investment-high gain collaborations to give body to this new community. This Whitepaper outlines the results of these efforts and defines our vision of the ELIXIR Toxicology Community and how it complements other ELIXIR activities. Ključne besede: toxicology, ELIXIR, interoperability, FAIR Objavljeno v DiRROS: 05.08.2024; Ogledov: 245; Prenosov: 176 Celotno besedilo (959,11 KB) Gradivo ima več datotek! Več... |
667. New approach methodologies to facilitate and improve the hazard assessment of non-genotoxic carcinogens : a PARC projectMarc Audebert, Ann-Sophie Assmann, Amaya Azqueta, Pavel Babica, Emilio Benfenati, Martina Štampar, Bojana Žegura, 2023, pregledni znanstveni članek Povzetek: Carcinogenic chemicals, or their metabolites, can be classified as genotoxic or non-genotoxic carcinogens (NGTxCs). Genotoxic compounds induce DNA damage, which can be detected by an established in vitro and in vivo battery of genotoxicity assays. For NGTxCs, DNA is not the primary target, and the possible modes of action (MoA) of NGTxCs are much more diverse than those of genotoxic compounds, and there is no specific in vitro assay for detecting NGTxCs. Therefore, the evaluation of the carcinogenic potential is still dependent on long-term studies in rodents. This 2-year bioassay, mainly applied for testing agrochemicals and pharmaceuticals, is time-consuming, costly and requires very high numbers of animals. More importantly, its relevance for human risk assessment is questionable due to the limited predictivity for human cancer risk, especially with regard to NGTxCs. Thus, there is an urgent need for a transition to new approach methodologies (NAMs), integrating human-relevant in vitro assays and in silico tools that better exploit the current knowledge of the multiple processes involved in carcinogenesis into a modern safety assessment toolbox. Here, we describe an integrative project that aims to use a variety of novel approaches to detect the carcinogenic potential of NGTxCs based on different mechanisms and pathways involved in carcinogenesis. The aim of this project is to contribute suitable assays for the safety assessment toolbox for an efficient and improved, internationally recognized hazard assessment of NGTxCs, and ultimately to contribute to reliable mechanism-based next-generation risk assessment for chemical carcinogens. Ključne besede: non-genotoxic carcinogens, NGTxC, new approach methodologies, NAM, PARC Objavljeno v DiRROS: 05.08.2024; Ogledov: 242; Prenosov: 132 Celotno besedilo (761,23 KB) Gradivo ima več datotek! Več... |
668. CRISPR/Cas-mediated plant genome editing : outstanding challenges a decade after implementationTeodoro Cardi, Jana Murovec, Allah Bakhsh, Vladislava Galović, Tjaša Lukan, Kubilay Yıldırım, Milica Zlatković, Katrijn Van Laere, 2023, pregledni znanstveni članek Povzetek: The discovery of the CRISPR/Cas genome-editing system has revolutionized our understanding of the plant genome. CRISPR/Cas has been used for over a decade to modify plant genomes for the study of specific genes and biosynthetic pathways as well as to speed up breeding in many plant species, including both model and non-model crops. Although the CRISPR/Cas system is very efficient for genome editing, many bottlenecks and challenges slow down further improvement and applications. In this review we discuss the challenges that can occur during tissue culture, transformation, regeneration, and mutant detection. We also review the opportunities provided by new CRISPR platforms and specific applications related to gene regulation, abiotic and biotic stress response improvement, and de novo domestication of plants. Ključne besede: CRISPR applications, CRISPR platforms, gene regulations, mutant detection, plant regeneration Objavljeno v DiRROS: 05.08.2024; Ogledov: 228; Prenosov: 233 Celotno besedilo (4,40 MB) Gradivo ima več datotek! Več... |
669. The importance of population contextual data for large-scale biomonitoring using an apex predator : the Tawny Owl (Strix aluco)Urška Ratajc, Rui Lourenço, Silvia Espín, Pablo Sánchez Virosta, Simon Birrer, Dani Studler, Chris Wernham, Al Vrezec, 2023, pregledni znanstveni članek Povzetek: Top predators are often used as sentinel species in contaminant monitoring due to their exposure and vulnerability to persistent, bioaccumulative and, in some cases, biomagnificable contaminants. Some of their ecological traits can vary in space and time, and are known to influence the contamination levels and therefore information on ecological traits should be used as contextual data for correct interpretation of large-scale contaminant spatial patterns. These traits can explain spatiotemporal variation in contaminant exposure (traits such as diet and dispersal distances) or contaminant impacts (traits such as population trend and clutch size). The aim of our research was to review the spatial variation in selected contextual parameters in the Tawny Owl (Strix aluco), a species identified by the COST Action European Raptor Biomonitoring Facility as one of the most suitable candidates for pan-European biomonitoring. A considerable variation in availability of published and unpublished contextual data across Europe was found, with diet being the most extensively studied trait. We demonstrate that the Tawny Owl is a suitable biomonitor at local scale but also that taking spatial variation of other contextual data (e.g. diet) into account is necessary. We found spatial gaps in knowledge about the species ecology and biology in Southern Europe, along with gaps in certain population parameters (e.g. population trends) in several countries. Based on our findings, we proposed a minimal recommended scheme for monitoring of population contextual data as one of the first steps towards a pan-European monitoring scheme using the Tawny Owl. Ključne besede: raptors, sentinel species, contamination exposure, contamination impact, diet, minimal recommended monitoring scheme Objavljeno v DiRROS: 05.08.2024; Ogledov: 264; Prenosov: 206 Celotno besedilo (3,11 MB) Gradivo ima več datotek! Več... |
670. DELWAVE 1.0 : deep learning surrogate model of surface wave climate in the Adriatic BasinPeter Mlakar, Antonio Ricchi, Sandro Carniel, Davide Bonaldo, Matjaž Ličer, 2024, izvirni znanstveni članek Povzetek: We propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the behaviour of a numerical surface ocean wave model (Simulating WAves Nearshore, SWAN) at a sparse set of locations, thus enabling numerically cheap large-ensemble prediction over synoptic to climate timescales. DELWAVE was trained on COSMO-CLM (Climate Limited-area Model) and SWAN input data during the period of 1971–1998, tested during 1998–2000, and cross-evaluated over the far-future climate time window of 2071–2100. It is constructed from a convolutional atmospheric encoder block, followed by a temporal collapse block and, finally, a regression block. DELWAVE reproduces SWAN model significant wave heights with a mean absolute error (MAE) of between 5 and 10 cm, mean wave directions with a MAE of 10–25°, and a mean wave period with a MAE of 0.2 s. DELWAVE is able to accurately emulate multi-modal mean wave direction distributions related to dominant wind regimes in the basin. We use wave power analysis from linearised wave theory to explain prediction errors in the long-period limit during southeasterly conditions. We present a storm analysis of DELWAVE, employing threshold-based metrics of precision and recall to show that DELWAVE reaches a very high score (both metrics over 95 %) of storm detection. SWAN and DELWAVE time series are compared to each other in the end-of-century scenario (2071–2100) and compared to the control conditions in the 1971–2000 period. Good agreement between DELWAVE and SWAN is found when considering climatological statistics, with a small (≤ 5 %), though systematic, underestimate of 99th-percentile values. Compared to control climatology over all wind directions, the mismatch between DELWAVE and SWAN is generally small compared to the difference between scenario and control conditions, suggesting that the noise introduced by surrogate modelling is substantially weaker than the climate change signal. Ključne besede: surrogate modelling, deep learning, DEep Learning WAVe Emulating model, DELWAVE, Simulating WAves Nearshore, SWAN Objavljeno v DiRROS: 05.08.2024; Ogledov: 251; Prenosov: 184 Celotno besedilo (9,04 MB) Gradivo ima več datotek! Več... |