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- Nilsson, R. Henrik, 1976, et al.
(författare)
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Mycobiome diversity: high-throughput sequencing and identification of fungi.
- 2019
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Ingår i: Nature reviews. Microbiology. - : Springer Science and Business Media LLC. - 1740-1534 .- 1740-1526. ; 17, s. 95-109
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Forskningsöversikt (refereegranskat)abstract
- Fungi are major ecological players in both terrestrial and aquatic environments by cycling organic matter and channelling nutrients across trophic levels. High-throughput sequencing (HTS) studies of fungal communities are redrawing the map of the fungal kingdom by hinting at its enormous - and largely uncharted - taxonomic and functional diversity. However, HTS approaches come with a range of pitfalls and potential biases, cautioning against unwary application and interpretation of HTS technologies and results. In this Review, we provide an overview and practical recommendations for aspects of HTS studies ranging from sampling and laboratory practices to data processing and analysis. We also discuss upcoming trends and techniques in the field and summarize recent and noteworthy results from HTS studies targeting fungal communities and guilds. Our Review highlights the need for reproducibility and public data availability in the study of fungal communities. If the associated challenges and conceptual barriers are overcome, HTS offers immense possibilities in mycology and elsewhere.
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- Larsson, Åke, 1944, et al.
(författare)
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Kustfisk - hälsa
- 2012
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Ingår i: HAVET 2012 - Om miljötillståndet i svenska havsområden. - 1654-6741. ; år 2012
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Forskningsöversikt (refereegranskat)
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- Hanson, Niklas, 1976, et al.
(författare)
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Förändringar i fiskhälsa - orsaker söks på bred front
- 2012
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Ingår i: HAVET 2012 - Om miljötillståndet i svenska havsområden. - 1654-6741. ; år 2012, s. 85-87
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Forskningsöversikt (refereegranskat)abstract
- Kustfiskens hälsa har blivit allt mer påverkad under de senaste 20–25 åren. Mycket tyder på att det beror på miljögifter. Samtidigt minskar halterna av de miljögifter som övervakas i samma fiskar. Det tyder på att det är andra, kanske okända, miljögifter som ligger bakom. I ett nytt samverkansprojekt ska man försöka ta reda på orsakerna.
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5. |
- Hibbett, David, et al.
(författare)
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Sequence-based classification and identification of Fungi
- 2016
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Ingår i: Mycologia. - 0027-5514. ; 108:6, s. 1049-1068
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Forskningsöversikt (refereegranskat)abstract
- Fungal taxonomy and ecology have been revolutionized by the application of molecular methods and both have increasing connections to genomics and functional biology. However, data streams from traditional specimen- and culture-based systematics are not yet fully integrated with those from metagenomic and metatranscriptomic studies, which limits understanding of the taxonomic diversity and metabolic properties of fungal communities. This article reviews current resources, needs, and opportunities for sequence-based classification and identification (SBCI) in fungi as well as related efforts in prokaryotes. To realize the full potential of fungal SBCI it will be necessary to make advances in multiple areas. Improvements in sequencing methods, including long-read and single-cell technologies, will empower fungal molecular ecologists to look beyond ITS and current shotgun metagenomics approaches. Data quality and accessibility will be enhanced by attention to data and metadata standards and rigorous enforcement of policies for deposition of data and workflows. Taxonomic communities will need to develop best practices for molecular characterization in their focal clades, while also contributing to globally useful datasets including ITS. Changes to nomenclatural rules are needed to enable valid publication of sequence-based taxon descriptions. Finally, cultural shifts are necessary to promote adoption of SBCI and to accord professional credit to individuals who contribute to community resources.
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- Barnes, Paul W., et al.
(författare)
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Ozone depletion, ultraviolet radiation, climate change and prospects for a sustainable future
- 2019
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Ingår i: Nature Sustainability. - : Springer Science and Business Media LLC. - 2398-9629. ; 2:7, s. 569-579
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Forskningsöversikt (refereegranskat)abstract
- © 2019, Springer Nature Limited. Changes in stratospheric ozone and climate over the past 40-plus years have altered the solar ultraviolet (UV) radiation conditions at the Earth’s surface. Ozone depletion has also contributed to climate change across the Southern Hemisphere. These changes are interacting in complex ways to affect human health, food and water security, and ecosystem services. Many adverse effects of high UV exposure have been avoided thanks to the Montreal Protocol with its Amendments and Adjustments, which have effectively controlled the production and use of ozone-depleting substances. This international treaty has also played an important role in mitigating climate change. Climate change is modifying UV exposure and affecting how people and ecosystems respond to UV; these effects will become more pronounced in the future. The interactions between stratospheric ozone, climate and UV radiation will therefore shift over time; however, the Montreal Protocol will continue to have far-reaching benefits for human well-being and environmental sustainability.
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- Tavella, T A, et al.
(författare)
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Yeast-based high-throughput screens for discovery of kinase inhibitors for neglected diseases.
- 2021
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Ingår i: Advances in Protein Chemistry and Structural Biology. - : Elsevier. - 1876-1631. ; 124, s. 275-309
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Forskningsöversikt (refereegranskat)abstract
- The discovery and development of a new drug is a complex, time consuming and costly process that typically takes over 10 years and costs around 1 billion dollars from bench to market. This scenario makes the discovery of novel drugs targeting neglected tropical diseases (NTDs), which afflict in particular people in low-income countries, prohibitive. Despite the intensive use of High-Throughput Screening (HTS) in the past decades, the speed with which new drugs come to the market has remained constant, generating doubts about the efficacy of this approach. Here we review a few of the yeast-based high-throughput approaches that can work synergistically with parasite-based, in vitro, or in silico methods to identify and optimize novel antiparasitic compounds. These yeast-based methods range from HTP screens to identify novel hits against promising parasite kinase targets to the identification of potential antiparasitic kinase inhibitors extracted from databases of yeast chemical genetic screens.
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- Hibbett, D. S., et al.
(författare)
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Progress in molecular and morphological taxon discovery in Fungi and options for formal classification of environmental sequences
- 2011
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Ingår i: Fungal Biology Reviews. - 1749-4613. ; 25:1, s. 38-47
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Forskningsöversikt (refereegranskat)abstract
- Fungal taxonomy seeks to discover, describe, and classify all species of Fungi and provide tools for their identification. About 100,000 fungal species have been described so far, but it has been estimated that there may be from 1.5 to 5.1 million extant fungal species. Over the last decade, about 1200 new species of Fungi have been described in each year. At that rate, it may take up to 4000 y to describe all species of Fungi using current specimen-based approaches. At the same time, the number of molecular operational taxonomic units (MOTUs) discovered in ecological surveys has been increasing dramatically. We analyzed ribosomal RNA internal transcribed spacer (ITS) sequences in the GenBank nucleotide database and classified them as “environmental” or “specimen-based”. We obtained 91,225 sequences, of which 30,217 (33 %) were of environmental origin. Clustering at an average 93 % identity in extracted ITS1 and ITS2 sequences yielded 16,969 clusters, including 6230 (37 %) clusters with only environmental sequences, and 2223 (13 %) clusters with both environmental and specimen-based sequences. In 2008 and 2009, the number of purely environmental clusters deposited in GenBank exceeded the number of species described based on specimens, and this does not include the huge number of unnamed MOTUs discovered in pyrosequencing studies. To enable communication about fungal diversity, there is a pressing need to develop classification systems based on environmental sequences. Assigning Latin binomials to MOTUs would promote their integration with specimen-based taxonomic databases, whereas the use of numerical codes for MOTUs would perpetuate a disconnect with the taxonomic literature. MOTUs could be formally named under the existing International Code of Botanical Nomenclature if the concept of a nomenclatural type was expanded to include environmental samples or illustrations of sequence chromatograms (or alignments). Alternatively, a “candidate species” category could be created for Fungi, based on the candidatus taxon status employed by microbiologists.
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10. |
- Lindahl, Björn, et al.
(författare)
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Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide
- 2013
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Ingår i: New Phytologist. - : Wiley. - 0028-646X .- 1469-8137. ; 199:1, s. 288-299
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Forskningsöversikt (refereegranskat)abstract
- * Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs. * Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions. * Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification. * Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions.
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