Percorrer por autor "Formato, Giovanni"
A mostrar 1 - 6 de 6
Resultados por página
Opções de ordenação
- Bio-Monitoring of environmental pollution using the citizen science approachPublication . Van der Steen, Jozef; Amaral, Joana S.; Baveco, Hans; Blanco Muñoz, Patricia; Brodschneider, Robert; Brusbardis, Valters; Buddendorf, Bas; Carreck, Norman L.; Danneels, Ellen; Charistos, Leonidas; Graaf, Dirk C. de; Díaz Galiano, Francisco José; Fernández-Alba, Amadeo R.; Ferrer-Amate, Carmen; Formato, Giovanni; Gómez Ramos, María José; Gratzer, Kristina; Gray, Alison; Hatjina, Fani; Henriques, Dora; Kasiotis, Konstantinos; Kilpinen, Ole; Lopes, Ana; Martínez Bueno, María Jesús; Murcia-Morales, María; Pietropaoli, Marco; Pinto, M. Alice; Quaresma, Andreia; Rufino, José; Roessink, Ivo; Vejsnæs, Flemming; Zafeiraki, EffrosyniHoneybee colonies are excellent bio-samplers of biological material such as nectar, pollen, and plant pathogens, as well as non-biological material such as pesticides or airborne contamination. The INSIGNIA-EU project aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides, microplastics, heavy metals, and air pollutants by honey bee colonies http://insignia-eu.eu. In the pilot INSIGNIA project (2018-2021), a protocol was developed and tested for citizen-science-based monitoring of pesticides using honeybees. As part of the project, biweekly pollen was obtained from sentinel apiaries over a range of European countries and landscapes and analysed for botanical origin, using state-of-theart molecular techniques such as metabarcoding. An innovative non-biological matrix, the “APIStrip”, was also proved to be very efficient for detecting the residues of 273 agricultural pesticides and veterinary products, both authorized and unauthorized. The data collected are used to develop and test a spatial modelling system aimed at predicting the spatiallyexplicit environmental fate of pesticides and honeybee landscape-scale pollen foraging, with a common underlying geo-database containing European land-use and land-cover data (CORINE), the LUCAS database (landcover) supplemented with national data sets on agricultural and (semi-) natural habitats. After a call by the European Commission, a new 2 years project was granted aiming to present a comprehensive pan-European environmental pollution monitoring study with honey bees. Although pesticides used in agriculture, are a known hazard due to their biological activity, other pollutants, have even been recognized as such, for which we have not been aware of their impact for many years. An example is air pollution which increased while our societies industrialized and is currently regarded as the single largest environmental health risk in Europe (https://www.eea.europa.eu/). Unfortunately, other pollutants such as heavy metals, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, airborne particulate matter, and microplastics have also reached our environment. The outcome of this project will provide the first standardized EU-wide monitoring of all types of environmental pollutants with honey bee colonies. The project is funded by the EU, under the N° 09.200200/2021/864096/SER/ ENV.D.2 contract.
- Identification of botanical origin of bee-collected mixed pollen samples: a comparison between palynological and DNA metabarcoding methodsPublication . Quaresma, Andreia; Van der Steen, Jozef; Amaral, Joana S.; Biron, David G.; Brodschneider, Robert; Brusbardis, Valters; Carreck, Norman L.; Formato, Giovanni; Gratzer, Kristina; Hatjina, Fani; Kilpinem, Ole; Pietropaoli, Marco; Rufino, José; Vejsnaes, Flemming; Pinto, M. AliceIdentification of botanical origin of mixed pollen samples has several applications, including unraveling plant-pollinator interactions, determining botanical origin of honey, monitoring allergy-related airborne pollen sources, or even monitoring pesticide use in crops. These applications have typically been addressed using light microscopy, a costly approach that often provides low taxonomic resolution. However, with high-throughput sequencing (HTS) becoming increasingly affordable, DNA metabarcoding is emerging as a promising alternative to classical palynology. In addition to be time- and cost-effective for large sample sizes, metabarcoding has the potential to allow identification of pollen mixtures at the species level. However, before it can be widely employed in pollen analysis, the reliability of this molecular tool must be appraised. Herein, we compared the two approaches on 61 bee-collected pollen samples from eight European countries. The samples were homogenized and split into two sub-samples. One set of 61 sub-samples was analyzed by palynology experts from the “Institut für Bienenkunde”, Germany, and the other one was subjected to HTS, using ITS2 as the barcode, in the labs of CIMO and CIBIO. Comparisons of the relative abundances at the family level show no significant differences (P ≥ 0.1057, Wilcoxon signed-rank test) and high correlation values (0.2736 ≤ r ≤ 1.000, Pearson’s correlation) between the two approaches. The highest correlation values were observed for Italian samples (0.7245 ≤ r ≤ 0.9842; global r = 0.8958) and the lowest for Greek samples (0.0266 ≤ r ≤ 0.9703; global r = 0.5149). These results suggest that ITS2 metabarcoding offers a reliable alternative to classical palynology and this approach is now being employed in the European project INSIGNIA (https://www.insignia-bee.eu/), which is developing a standard protocol for using the honey bee as a tool for environmental monitoring.
- INSIGNIA: um projeto de monitorização ambiental de pesticidas através da utilização da abelha melliferaPublication . Pinto, M. Alice; Amaral, Joana S.; Baveco, Hans; Biron, David G.; Brodschneider, Robert; Brusbardis, Valters; Carreck, Norman L.; Charistos, Leonidas; Coffey, Mary F.; Fernández-Alba, Amadeo R.; Formato, Giovanni; Graaf, Dirk C. de; Gratzer, Kristina; Gray, Alison; Hatjina, Fani; Kasiotis, Konstantinos; Kilpinen, Ole; Pietropaoli, Marco; Roessink, Ivo; Rufino, José; Vejsnæs, Flemming; Van der Steen, JozefINSIGNIA ("cItizeN Science InvestiGatioN for pestIcIcides in Apicultutarl products"; https://www.insignia-bee,eu/) é um projecto financiado pela agência "Directorate General for Health and Food Safety" da Comissão Europeia, e que teve início em Outubro de 2018. O consórcio INSIGNIA é coordenado por Jozef van der Steen e integra 16 instituições parceiras de 12 países Europeus, entre as quais está o Centro de Investigação e Montanha (CIMO) do Instituto Politécnico de Bragança (IPB).
- Introducing the INSIGNIA project: environmental monitoring of pesticide use through honey beesPublication . Van der Steen, Jozef; Brodschneider, Robert; Gratzer, Kristina; Bieszczad, Sarah; Hatjina, Fani; Charistos, Leonidas; Carreck, Norman L.; Gray, Alison; Pinto, M.Alice; Amaral, Joana S.; Rufino, José; Quaresma, Andreia; Roessink, Ivo; Baveco, Hans; Formato, Giovanni; Pietropaoli, Marco; Kasiotis, Konstantinos; Anagnostopoulos, Christ; Zafeiraki, Effrosyni; Fernández-Alba, Amadeo R.; Eulderink, Caroline; Vejsnæs, Flemming; Kilpinen, Ole; Coffey, Mary F.; Biron, David G.; Brusbardis, Valters; Graaf, Dirk C. deINSIGNIA aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides by honey bees. It is a 30-month pilot project initiated and financed by the EC (PP-1-1-2018; EC SANTE). The study is being carried out by a consortium of specialists in honey bees, apiculture, statistics, analytics, modelling, extension, social science and citizen science from twelve countries. Honey bee colonies are excellent bio-samplers of biological material such as nectar, pollen and plant pathogens, as well as non-biological material such as pesticides or airborne contamination. Honey bee colonies forage over a circle of 1 km radius, increasing to several km if required, depending on the availability and attractiveness of food. All material collected is accumulated in the hive.
- Introducing the INSIGNIA project: Environmental monitoring of pesticides use through honey beesPublication . Carreck, Norman L.; Amaral, Joana S.; Anagnostopoulos, Christ; Baveco, Hans; Bieszczad, Sarah; Biron, David G.; Brodschneider, Robert; Brusbardis, Valters; Charistos, Leonidas; Coffey, Mary F.; Eulderink, Caroline; Fernández-Alba, Amadeo R.; Formato, Giovanni; Graaf, Dirk C. de; Gratzer, Kristina; Gray, Alison; Hatjina, Fani; Kasiotis, Konstantinos; Kilpinen, Ole; Murcia-Morales, Maria; Pietropaoli, Marco; Pinto, M. Alice; Quaresma, Andreia; Roessink, Ivo; Rufino, José; Vejsnæs, Flemming; Zafeiraki, Effrosyni; Van der Steen, JozefINSIGNIA aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides via honey bees. It is a pilot project initiated and financed by the European Commission (PP-1-1-2018; EC SANTE). The study is being carried out by a consortium of specialists in honey bees, apiculture, chemistry, molecular biology, statistics, analytics, modelling, extension, social science and citizen science from twelve countries. Honey bee colonies are excellent bio-samplers of biological material such as nectar, pollen and plant pathogens, as well as non-biological material such as pesticides or airborne contamination. Honey bee colonies forage over a circle of about 1 km radius, increasing to several km if required depending on the availability and attractiveness of food. All material collected is concentrated in the hive, and the honey bee colony can provide four main matrices for environmental monitoring: bees, honey, pollen and wax. For pesticides, pollen and wax are the focal matrices. Pollen collected in pollen traps will be sampled every two weeks to record foraging conditions. During the season, most of pollen is consumed within days, so beebread can provide recent, random sampling results. On the other hand wax acts as a passive sampler, building up an archive of pesticides that have entered the hive. Alternative in-hive passive samplers will be tested to replicate wax as a “pesticide-sponge”. Samples will be analysed for the presence of pesticides and the botanical origin of the pollen using an ITS2 DNA metabarcoding approach. Data on pollen and pesticides will be then be combined to obtain information on foraging conditions and pesticide use, together with evaluation of the CORINE database for land use and pesticide legislation to model the exposure risks to honey bees and wild bees. All monitoring steps from sampling through to analysis will be studied and tested in four countries in year 1, and the best practices will then be ring-tested in nine countries in year 2. Information about the course of the project and its results and publications will be available in the INSIGNIA website www.insignia-bee.eu.
- ITS2 metabarcoding: a promising approach for identification of botanical origin of bee-collected pollenPublication . Quaresma, Andreia; Van der Steen, Jozef; Amaral, Joana S.; Biron, David G.; Brodschneider, Robert; Brusbardis, Valters; Carreck, Norman L.; Mary, Frances Coffey; Formato, Giovanni; Graaf, Dirk C. de; Gratzer, Kristina; Hatjina, Fani; Kilpinem, Ole; Keller, Alexander; Laget, Dries; Pietropaoli, Marco; Rufino, José; Vejsnaes, Flemming; Pinto, M. AliceBee products have long been used in human’s diet and their consumption has increasingly been recognized has beneficial for human’s health. One such product is pollen, which is a particularly interesting food as it contains bioactive compounds and all the essential amino-acids needed by humans. However, the composition of bee-collected pollen depends on the environment where the visited plants grow (e.g.: climatic conditions, soil type) and, above all, on the plant species [1]. Therefore, identification of the botanical origin of bee-collected pollen is important for a fuller characterization of this food product. Until recently, pollen identification has been carried out using light microscopy, a costly approach that often provides low taxonomic resolution. However, with high-throughput sequencing (HTS) becoming increasingly affordable, DNA metabarcoding is emerging as a promising alternative to light microscopy. In addition to be time- and cost-effective for large sample sizes, metabarcoding has the potential to allow identification of pollen mixtures at the species level. However, before it can be widely employed in pollen analysis, the reliability of this molecular tool must be appraised. Herein, we compared the relative abundances obtained by the two approaches on 108 bee-collected pollen samples from 10 European countries. To that end, the 108 samples were first homogenized and split into two identical sub-sets. One sub-set was analysed by palynology experts from the “Institut für Bienenkunde”, Germany, and the other one was subjected to HTS, using ITS2 as the barcode, in the labs of CIMO and CIBIO. Pairwise comparisons of the relative abundances at the family level of the 108 samples show no significant differences (P ≥ 0.1057, Wilcoxon signed-rank test) and high correlation values (0.2736 ≤ r ≤ 0.9842, Pearson’s correlation) between the two approaches. The highest correlation values were observed for Italian samples (0.7245 ≤ r ≤ 0.9842; global r = 0.8958) and the lowest for Greek samples (0.0266 ≤ r ≤ 0.9703; global r = 0.4929). Despite, the few outliers, which can be improved by further optimization of the protocols, these results suggest that ITS2 metabarcoding promises to be a reliable alternative to light microscopy. This molecular approach is now being employed in the European project INSIGNIA (https://www.insignia-bee.eu/), which is developing a standard protocol for using the honey bee as a tool for environmental monitoring.