Score: 11.18
#806 - Management of genetic resources of the multi-purpose tree species Castanea sativa Mill
Eriksson G, Pliura A, Fernández-López J, Zas R, Blanco Silva R, Villani F, Bucci G, Casasoli M, Cherubini M, Lauteri M, Mattioni C, Monteverdi C, Sansotta A, Garrod G, Mavrogiannis M, Scarpa R, Spalato F, Aravanoupoulos P, Alizoti E, Drouzas A
Kind: pub - Date: Jan 19, 2015
Score: 9.73
#2747 - Management of genetic resources of the multi-purpose tree species Castanea sativa Mill.
Eriksson G, Pliura A, Fernandez-Lopez J, Zas R, Silva RB, Villani F, Bucci G, Casasoli M, Cherubini M, Lauteri M, Mattioni C, Monteverdi C, Sansotta A, Garrod G, Mavrogiannis M, Scarpa R, Spalato F, Aravanoupoulos P, Alizoti E, Drouzas A, Robin C, Barreneche T, Kremer A, Rornane F, Grandjanny M, Grossman A, Botta R, Marinoni D, Akkak A, Diamandis S, Perlerou H, Vannini A, Vettraino AM, Russell K, Buck, E
Kind: pub - Date: Nov 20, 2019
Score: 2.27
#1509 - Evolution-based approach needed for the conservation and silviculture of peripheral forest tree populations
Fady B, Aravanopoulos FA, Alizoti P, Mátyás C, von Wühlisch G, Westergren M, Belletti P, Cvjetkovic B, Ducci F, Huber G, Kelleher CT, Khaldi A, Kharrat MB, Kraigher H, Kramer K, Mühlethaler U, Peric S, Perry A, Rousi M, Sbay H, Stojnic S, Tijardovic M, Tsvetkov I, Varela MC, Vendramin GG, Zlatanov T
Kind: pub - Date: Aug 01, 2016
Score: 2.10
#3180 - The GenTree Leaf Collection: inter and intraspecific leaf variation in seven forest tree species in Europe
Benavides R, Carvalho B, Bastias CC, López-Quiroga D, Mas A, Cavers S, Gray A, Albet A, Alía R, Ambrosio O, Aravanopoulos F, Auñón F, Avanzi C, Avramidou EV, Bagnoli F, Ballesteros E, Barbas E, Bastien C, Bernier F, Bignalet H, Bouic D, Brunetto W, Buchovska J, Cabanillas-Saldaña AM, Cheval N, Climent JM, Correard M, Cremer E, Danusevičius D, Dauphin B, Del Caño F, Denou J, Dokhelar B, Dourthe R, Farsakoglou A, Fera A, Fonti P, Ganopoulos I, García del Barrio JM, Gilg O, González-Martínez SC, Graf R, Grivet D, Gugerli F, Hartleitner C, Heer K, Hollenbach E, Hurel A, Issehuth B, Jean F, Jorge V, Jouineau A, Kappner J, Kärkkäinen K, Kesälahti R, Knutzen F, Kujala ST, Kumpula T, Labriola M, Lalanne C, Lambertz J, Lascoux M, Le Provost G, Liesebach M, Malliarou E, Marchon J, Mariotte N, Martínez-Sancho E, Matesanz S, Meischner H, Michotey C, Milesi P, Morganti S, Myking T, Nilsen AE, Notivol E, Opgenoorth L, Østreng G, Pakull B, Piotti A, Plomion C, Poinot N, Pringarbe M, Puzos L, Pyhäjärvi T, Raffin A, Ramírez-Valiente JA, Rellstab C, Richter S, Robledo-Arnuncio JJ, San Segundo S, Savolainen O, Schneck V, Schueler S, Scotti I, Semerikov V, Henrik Sønstebø J, Spanu I, Thevenet J, Tollefsrud MM, Turion N, Vendramin GG, Villar M, Westin J, Fady B, Valladares F
Kind: pub - Date: Jan 17, 2021
Score: 2.09
#19 - Landscape genomics approaches for an adaptive silviculture applied to beech stand
Genetic variation is crucial for the fitness and survival of individuals and the ability of species to adapt to environmental change. Within each population, genetic changes, plasticity and evolvability result from the combination of random and selectively oriented processes. Silviculture displays a direct impact on the evolution drivers by acting on environmental conditions: competition dynamics and other abiotic and biotic factors. Some types of silvicultural management can lead to selections that influence the spatial grouping of reproductive individuals and therefore the gene flow level. Forest practice should simultaneously accelerate genetic adaptation by promoting the response of forest populations to known environmental changes and preserve genetic diversity as a reservoir of future options for responding to unknown changes. In this context, landscape genomics, a research approach that combines population genetics, landscape ecology, and spatial analytical techniques, has emerged as a flexible analytical framework for understanding the interactions between environmental heterogeneity and adaptive genetic variation. The main goal of this project is to use Landscape genomics approach to evaluate the effects of silvicultural treatments on forest genetic resources (FGR) in Fagus sylvatica L. (Fs) forests through an adaptive approach. This approach will permit to determine if the silvicultural treatment applied is able to maintain or increase the genetic variability of Fagus sylvatica stands. Therefore, beech stands subjected to different silvicultural regimes will be analysed in order to assess the genetic structure and correlate it to environmental variables, and to develop adaptive silviculture strategies. The landscape genomics approaches that will be used involve the analysis of different types of data in order to define, through the use of spatial analytical techniques, any statistical correlations, so as to test the landscape-genetic relationships explicitly and quantitatively. The analyses conducted in this project will allow us to precisely investigate how environmental characteristics influence the micro-evolutionary processes of gene flow and drift, and consequently the spatial genetic structure of forest stands. Specifically, the analyses will allow us to identify many allelic variants associated with adaptation to environmental stresses; obtain correlation of adaptive diversity data with environmental variables; and provide data on the status and trends in adaptive capacity of forest stands. This information will be used to guide future silvicultural interventions toward maintaining and, if possible, increasing genetic variability
Kind: webinars - Date: Dec 15, 2021
Score: 1.80
#220 - CAN FARE - Cosmeceuticals And Nutraceuticals From Antarctic Biological REsources
Antarctica is a still an unexplored area for many aspects, including biological diversity and, even more, chemical diversity. Thanks to its evolutionary history and ecological isolation, Antarctic marine environments are expected to harbour unique biological communities that could biosynthesise novel bioactive compounds, potentially valuable for many applications such as pharmaceuticals, nutritional supplements and cosmeceuticals. The main objective of this two-year project is to identify novel marine bioactive molecules that can function as model compounds for the design of new products for nutraceutic and cosmetic applications. This is in view of the recent expansion in the diagnosis of genetic and life-style related diseases, and the increased interest in finding new products aimed at improving human well-being by treating these diseases. The team is composed by three Research Units, RU1-IBBR headed by D Giordano, RU2-SZN headed by A Ianora (Station Anton Dohrn) and RU3-ICB headed by A Fontana (Institute of Biomolecular Chemistry). Our aim is to sample new/known, cultivable/easy to grow bacterial strains, and to collect micro- and macralgae and invertebrates (mainly sponges, corals, molluscs, tunicates, copepods and krill) from the Antarctic region that will be screened for nutraceutic and cosmetic properties, followed by identification of bioactive compounds by mass spectrometry (MS) and Nuclear Magnetic Resonance (NMR) spectroscopy. In particular the project will envisage: 1. Collection of marine micro- and macroorganisms, putative producers of bioactive secondary metabolites and functional lipids having an untapped biotechnological potential. 2. Screening of Antarctic samples by biological assays for nutraceutic and cosmetic properties using in vitro selected human cell lines. 3. Isolation and characterisation of bioactive molecules by chromatographic, spectroscopic and spectrometric methods, mainly MS and NMR. CAN FARE will have societal impacts by (i) providing novel substances for human health and care, (ii) stimulating the acquisition of novel expertise and promoting innovative business model and youth entrepreneurship, (iii) increasing our knowledge of Antarctic biological resources. Furthermore, the project will have an economic impact deriving from patenting and commercial exploitation of the novel compounds. As a result of this project, CAN FARE will acquire more information about the diversity of species that have economic uses as well as wider knowledge about the role of secondary metabolites in micro- and macroorganisms and the distribution of biologically active compounds among different families and genera in Antarctic ecosystems. The project will also deliver novel and improved bioassay methods leading to the fast identification of active fractions/pure molecules. The project also sees the support of an industrial partner, ARTERRA Bioscience srl (http://www.arterrabio.it/), an Italian research-based biotech company with a strong know-how in biological science and an extensive experience in screening for the discovery and development of active molecules with applications in the cosmetic and nutraceutic sectors. Moreover, the project is fully in-line with Horizon 2020 strategic activity: “targeted approach towards specific activities” focusing on “...exploration of the … biodiversity ... for ...helping us to understand for example how organisms that can withstand extremes of temperature and pressure and grow without light could be used to develop new industrial enzymes or pharmaceuticals...”.
Kind: project - Date: Nov 08, 2017
Score: 1.46
#1328 - SaVeGraINPuglia: a project to safeguard legume, cereal and forage landraces of Apulia region
Laghetti G, Bisignano B, Campanella G, Casini G, Cataldo P, Cifarelli S, Colaprico G, De Virgilio M, Direnzo P, Finetti Sialer M, Lioi L, Losavio F, Polignano GB, Scarascia M, Stimolo L, Tomaselli V, Urbano M, Veronico G, Piergiovanni AR, Margiotta B
Kind: pub - Date: Dec 09, 2015
Score: 1.31
#2708 - The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe
Martínez-Sancho E, Slámová L, Morganti S, Grefen C, Carvalho B, Dauphin B, Rellstab C, Gugerli F, Opgenoorth L, Heer K, Knutzen F, von Arx G, Valladares F, Cavers S, Fady B, Alía R, Aravanopoulos F, Avanzi C, Bagnoli F, Barbas E, Bastien C, Benavides R, Bernier F, Bodineau G, Bastias CC, Charpentier JP, Climent JM, Corréard M, Courdier F, Danusevicius D, Farsakoglou AM, del Barrio JM, Gilg O, González-Martínez SC, Gray A, Hartleitner C, Hurel A, Jouineau A, Kärkkäinen K, Kujala ST, Labriola M, Lascoux M, Lefebvre M, Lejeune V, Le-Provost G, Liesebach M, Malliarou E, Mariotte N, Matesanz S, Michotey C, Milesi P, Myking T, Notivol E, Pakull B, Piotti A, Plomion C, Pringarbe M, Pyhäjärvi T, Raffin A, Ramírez-Valiente JA, Ramskogler K, Robledo-Arnuncio JJ, Savolainen O, Schueler S, Semerikov V, Spanu I, Thévenet J, Mette Tollefsrud M, Turion N, Veisse D, Vendramin GG, Villar M, Westin J, Fonti P
Kind: pub - Date: May 14, 2020
Score: .70
#2406 - Francesca Taranto(personal page)
Francesca Taranto research activity is focused on marker assisted breeding and genetics of wheat, legumes and other cultivated trees (olive, almond and grapevine). Genetics, molecular biology, genomics and bioinformatics are used to investigate population genetics, biodiversity and gene flow, and identify key genes involved in the expression of important agronomic traits. Her main research interest are polyphenol oxidase enzyme and their role during the evolutionary history of domesticated tetraploid wheat. Skills and Expertise: plant breeding, population genetics, genetic resources conservation, crop domestication, genomics, gene flow, adaptation, QTL mapping, genome-wide association mapping, linkage disequilibrium, phylogenetic analysis. Nucleic acid extraction and PCR; capillary electrophoresis applied to DNA, statistics (R), SNP data analysis, plant functional annotation and classification, gene families and genomic homology, PPO activity assay.
Kind: personal - Date: Jan 29, 2020