Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2024
Authors
Abirami Ramu Ganesan Kannan Mohan Sabariswaran Kandasamy Ramya Preethi Surendran Ragavendhar Kumar Durairaj Karthick Rajan Jayakumar RajarajeswaranAbstract
No abstract has been registered
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Authors
Jarle W. Bjerke Kristin Magnussen Ryan Bright Ståle Navrud Rasmus Erlandsson Eirik Aasmo Finne Hans TømmervikAbstract
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Authors
Thiago InagakiAbstract
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Authors
Xiaoyu Yuan Keya Xu Fang Yan Zhiyuan Liu Carl Jonas Jorge Spetz Huanbin Zhou Xiaojie Wang Huaibing Jin Xifeng Wang Yan LiuAbstract
Wheat dwarf virus (WDV, genus Mastrevirus, family Geminiviridae) is one of the causal agents of wheat viral disease, which severely impacts wheat production in most wheat-growing regions in the world. Currently, there is little information about natural resistance against WDV in common wheat germplasms. CRISPR/Cas9 technology is being utilized to manufacture transgenic plants resistant to different diseases. In the present study, we used the CRISPR/Cas9 system targeting overlapping regions of coat protein (CP) and movement protein (MP) (referred to as CP/MP) or large intergenic region (LIR) in the wheat variety ‘Fielder’ to develop resistance against WDV. WDV-inoculated T1 progenies expressing Cas9 and sgRNA for CP/MP and LIR showed complete resistance against WDV and no accumulation of viral DNA compared with control plants. Mutation analysis revealed that the CP/MP and LIR targeting sites have small indels in the corresponding Cas9-positive plants. Additionally, virus inhibition and indel mutations occurred in T2 homozygous lines. Together, our work gives efficient results of the engineering of CRISPR/Cas9-mediated WDV resistance in common wheat plants, and the specific sgRNAs identified in this study can be extended to utilize the CRISPR/Cas9 system to confer resistance to WDV in other cereal crops such as barley, oats, and rye.
Authors
Zhibo Hamborg Ada Konstanse Kristensen Xiaoyan Ma Sissel Haugslien Carl-Henrik Lensjø Alvin Peter van der Ende Øyvor Stensbøl Qiaochun Wang Jana Fránová Dag-Ragnar BlystadAbstract
Background of the study – Cryopreservation is considered to be a valuable method for long-term preservation of plant germplasm and recently it has been shown to be a reliable method for preserving obligate pathogens including plant viruses. Objectives – (1) Droplet-vitrification cryopreservation of strawberry genotypes in Norway; (2) Preservation efficiency of aphid-transmitted strawberry mild yellow edge virus (SMYEV) and strawberry vein banding virus (SVBV) following cryopreservation. Methods – Excised shoot tips of cv. ‘Korona’ were cryopreserved with different durations of PVS2 varying from 10 to 60 min, whereas virus-infected shoot tips were cryopreserved using either 10, 40 or 60 min of PVS2. Results – The results showed that 40–60 minutes of PVS2 treatment was more efficient for preserving strawberry germplasm than lower duration times (10–30 min). Thirty-two strawberry genotypes have been successfully cryopreserved through droplet-vitrification with regeneration rates ranging from 45% to 100% with 40 min PVS2 treatment. Cryopreserved viruses were quantitatively analyzed by Reverse Transcription-quantitative polymerase chain reaction (RT-qPCR). SVBV was successfully cryopreserved in all the regenerated shoots following cryopreservation with all the three durations of PVS2 examined. SMYEV, however, was more efficiently preserved in shoot tips exposed to 40 min (90%) of PVS2, in comparison to 60 min (33%). Conclusion – This demonstrates that SMYEV and SVBV can be successfully cryopreserved in living cells of Fragaria ssp. by droplet vitrification. The results indicate that cryopreservation has great potential for long-time preservation of both strawberry germplasm and aphid-transmitted strawberry-infecting viruses.
Authors
An Notenbaert Kalkidan Mulatu Ayele Shimelis Gizachew Raji Bimrew Asmare Caroline Brophy Peter Dörsch Niklas Wickander Wuletawu Abera Mohammed Ebrahim Solomon Mwendia Marit JørgensenAbstract
No abstract has been registered
Abstract
Precompression stress, compression index, and swelling index are used for characterizing the compressive behavior of soils, and are essential soil properties for establishing decision support tools to reduce the risk of soil compaction. Because measurements are time-consuming, soil compressive properties are often derived through pedotransfer functions. This study aimed to develop a comprehensive database of soil compressive properties with additional information on basic soil properties, site characteristics, and methodological aspects sourced from peer-reviewed literature, and to develop random forest models for predicting precompression stress using various subsets of the database. Our analysis illustrates that soil compressive properties data primarily originate from a limited number of countries. There is a predominance of precompression stress data, while little data on compression index or recompression index are available. Most precompression stress data were derived from the topsoils of conventionally tilled arable fields, which is not compatible with knowledge that subsoil compaction is a serious problem. The data compilation unveiled considerable variations in soil compression test procedures and methods for calculating precompression stress across different studies, and a concentration of data at soil moisture conditions at or above field capacity. The random forest models exhibited unsatisfactory predictive performance although they performed better than previously developed models. Models showed slight improvement in predictive power when the underlying data were restricted to a specific precompression stress calculation method. Although our database offers broader coverage of precompression stress data than previous studies, the lack of standardization in methodological procedures complicates the development of predictive models based on combined datasets. Methodological standardization and/or functions to translate results between methodologies are needed to ensure consistency and enable data comparison, to develop robust models for precompression stress predictions. Moreover, data across a wider range of soil moisture conditions are needed to characterize soil mechanical properties as a function of soil moisture, similar to soil hydraulic functions, and to develop models to predict the parameters of such soil mechanical functions.
Abstract
No abstract has been registered