Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2018
Authors
Svetlana Pakhomova Evgeniy Yakushev Elizaveta Protsenko Sylvain Rigaud Daniel Cossa Joel Knoery Raoul-Marie Couture Olivier Radakovitch Shamil Yakubov Dominika Krzeminska Alice NewtonAbstract
Copyright © 2018 Pakhomova, Yakushev, Protsenko, Rigaud, Cossa, Knoery, Couture, Radakovitch, Yakubov, Krzeminska and Newton. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Authors
Kjersti Holt HanssenAbstract
Det er ikke registrert sammendrag
Authors
Erik Framstad Anders Lyngstad Hanne Sickel Anne Sverdrup-Thygeson Vigdis Vandvik Liv Guri Velle Per Arild AarrestadEditors
Marianne Evju Signe NybøAbstract
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Abstract
PREMISE OF THE STUDY: Genetic differentiation in plant species may result from adaptation to environmental conditions, but also from stochastic processes. The drivers selecting for local adaptation and the contribution of adaptation to genetic differentiation are often unknown. Restoration and succession studies have revealed different colonization patterns for Brachypodium retusum, a common Mediterranean grass. In order to understand these patterns, we tested population differentiation and adaptation to different environmental factors. METHODS: Structured sampling of 12 populations from six sites and two soil types within site was used to analyze the spatial and environmental structure of population differentiation. Sampling sites differ in grazing intensity and climate. We tested germination and growth in a common garden. In subsets, we analyzed the differential response to stone cover, grazing and soil moisture. KEY RESULTS: We found significant differences among populations. The site explained population differentiation better than soil, suggesting a dominant influence of climate and/or genetic drift. Stone cover had a positive influence on seedling establishment, and populations showed a differential response. However, this response was not related to environmental differences between collection sites. Regrowth after clipping was higher in populations from the more intensively grazed Red Mediterranean soils suggesting an adaptation to grazing. Final germination was generally high even under drought, but germination response to differences in soil moisture was similar across populations. CONCLUSIONS: Adaptive population differentiation in germination and early growth may have contributed to different colonization patterns. Thus, the provenance of B. retusum needs to be carefully considered in ecological restoration.
Abstract
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Authors
Anders Kvalvåg Wollan Harald Bratli Anders Bryn Eva Lieungh Eriksen Anne B. Nilsen Heidrun Asgeirsdatter Ullerud Rune HalvorsenAbstract
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Authors
Mihaela-Olivia Dobrica Catalin Lazar Lisa Paruch Andre van Eerde Jihong Liu Clarke Catalin Tucureanu Iuliana Caras Sonya Ciulean Adrian Onu Vlad Tofan Alexandru Branzan Stephan Urban Crina Stavaru Norica Branza-NichitaAbstract
Hepatitis B Virus (HBV) infection can be prevented by vaccination. Vaccines containing the small (S)envelope protein are currently used in universal vaccination programs and achieve protective immuneresponse in more than 90% of recipients. However, new vaccination strategies are necessary for successfulimmunization of the remaining non- or low-responders. We have previously characterized a novel HBVchimeric antigen, which combines neutralization epitopes of the S and the preS1 domain of the large (L)envelope protein (genotype D). The S/preS121–47chimera produced in mammalian cells and Nicotianabenthamiana plants, induced a significantly stronger immune response in parenterally vaccinated micethan the S protein. Here we describe the transient expression of the S/preS121–47antigen in an edibleplant, Lactuca sativa, for potential development of an oral HBV vaccine. Our study shows that oral admin-istration of adjuvant-free Lactuca sativa expressing the S/preS121–47antigen, three times, at 1lg/dose,was sufficient to trigger a humoral immune response in mice. Importantly, the elicited antibodies wereable to neutralize HBV infection in an NTCP-expressing infection system (HepG2-NTCP cell line) moreefficiently than those induced by mice fed on Lactuca sativa expressing the S protein. These results sup-port the S/preS121–47antigen as a promising candidate for future development as an edible HBV vaccine.
Authors
Anestis Karkanis Georgia Ntatsi Liga Lepse Juan A. Fernández Ingunn M. Vågen Boris Rewald Ina Alsina Arta Kronberga Astrit Balliu Margit Olle Gernot Bodner Laila Dubova Eduardo Rosa Dimitrios SavvasAbstract
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Abstract
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Abstract
Horizontal Visibility Graphs (HVGs) are a recently developed method to construct networks from time series. The values of the time series are considered as the nodes of the network and are linked to each other if there is no larger value between them, such as they can “see” each other. The network properties reflect the nonlinear dynamics of the time series. For some classes of stochastic processes and for periodic time series, analytical results can be obtained for network-derived quantities such as the degree distribution, the local clustering coefficient distribution, the mean path length, and others. HVGs have the potential to discern between deterministic-chaotic and correlated-stochastic time series. Here, we investigate the sensitivity of the HVG methodology to properties and pre-processing of real-world data, i.e., time series length, the presence of ties, and deseasonalization, using a set of around 150 runoff time series from managed rivers at daily resolution from Brazil with an average length of 65 years. We show that an application of HVGs on real-world time series requires a careful consideration of data pre-processing steps and analysis methodology before robust results and interpretations can be obtained. For example, one recent analysis of the degree distribution of runoff records reported pronounced sub-exponential “long-tailed” behavior of North American rivers, whereas another study of South American rivers showed hyper-exponential “short-tailed” behavior resembling correlated noise.We demonstrate, using the dataset of Brazilian rivers, that these apparently contradictory results can be reconciled by minor differences in data-preprocessing (here: small differences in subtracting the seasonal cycle). Hence, data-preprocessing that is conventional in hydrology (“deseasonalization”) changes long-term correlations and the overall runoff dynamics substantially, and we present empirical consequences and extensive simulations to investigate these issues from a HVG methodological perspective. After carefully accounting for these methodological aspects, the HVG analysis reveals that the river runoff dataset shows indeed complex behavior that appears to stem from a superposition of short-term correlated noise and “long-tailed behaviour,” i.e., highly connected nodes. Moreover, the construction of a dam along a river tends to increase short-term correlations in runoff series. In summary, the present study illustrates the (often substantial) effects of methodological and data-preprocessing choices for the interpretation of river runoff dynamics in the HVG framework and its general applicability for real-world time series.