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Träfflista för sökning "WFRF:(Stevenson Dennis W.) "

Sökning: WFRF:(Stevenson Dennis W.)

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1.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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2.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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3.
  • Aad, G., et al. (författare)
  • 2010
  • swepub:Mat__t (refereegranskat)
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4.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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5.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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6.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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7.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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8.
  • 2011
  • swepub:Mat__t
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9.
  • Aad, G., et al. (författare)
  • 2010
  • swepub:Mat__t
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10.
  • Aad, G., et al. (författare)
  • 2010
  • swepub:Mat__t
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11.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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12.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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13.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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14.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t
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15.
  • Aad, G., et al. (författare)
  • 2011
  • swepub:Mat__t (refereegranskat)
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16.
  • Aad, G., et al. (författare)
  • 2010
  • swepub:Mat__t
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17.
  • Aad, G., et al. (författare)
  • 2010
  • swepub:Mat__t
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20.
  • Niemi, MEK, et al. (författare)
  • 2021
  • swepub:Mat__t
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21.
  • Kanai, M, et al. (författare)
  • 2023
  • swepub:Mat__t
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22.
  • Leebens-Mack, James H., et al. (författare)
  • One thousand plant transcriptomes and the phylogenomics of green plants
  • 2019
  • Ingår i: Nature. - : Nature Publishing Group. - 0028-0836 .- 1476-4687. ; 574:7780, s. 679-
  • Tidskriftsartikel (refereegranskat)abstract
    • Green plants (Viridiplantae) include around 450,000-500,000 species(1,2) of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life.
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23.
  • Brownstein, Catherine A., et al. (författare)
  • An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
  • 2014
  • Ingår i: Genome Biology. - : Springer Science and Business Media LLC. - 1465-6906 .- 1474-760X. ; 15:3, s. R53-
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance. Results: A total of 30 international groups were engaged. The entries reveal a general convergence of practices on most elements of the analysis and interpretation process. However, even given this commonality of approach, only two groups identified the consensus candidate variants in all disease cases, demonstrating a need for consistent fine-tuning of the generally accepted methods. There was greater diversity of the final clinical report content and in the patient consenting process, demonstrating that these areas require additional exploration and standardization. Conclusions: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases. There is remarkable convergence in bioinformatic techniques, but medical interpretation and reporting are areas that require further development by many groups.
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24.
  • Lang, Daniel, et al. (författare)
  • The Physcomitrella patens chromosome-scale assembly reveals moss genome structure and evolution
  • 2018
  • Ingår i: The Plant Journal. - : Wiley. - 0960-7412 .- 1365-313X. ; 93:3, s. 515-533
  • Tidskriftsartikel (refereegranskat)abstract
    • The draft genome of the moss model, Physcomitrella patens, comprised approximately 2000 unordered scaffolds. In order to enable analyses of genome structure and evolution we generated a chromosome-scale genome assembly using genetic linkage as well as (end) sequencing of long DNA fragments. We find that 57% of the genome comprises transposable elements (TEs), some of which may be actively transposing during the life cycle. Unlike in flowering plant genomes, gene-and TE-rich regions show an overall even distribution along the chromosomes. However, the chromosomes are mono-centric with peaks of a class of Copia elements potentially coinciding with centromeres. Gene body methylation is evident in 5.7% of the protein-coding genes, typically coinciding with low GC and low expression. Some giant virus insertions are transcriptionally active and might protect gametes from viral infection via siRNA mediated silencing. Structure-based detection methods show that the genome evolved via two rounds of whole genome duplications (WGDs), apparently common in mosses but not in liverworts and hornworts. Several hundred genes are present in colinear regions conserved since the last common ancestor of plants. These syntenic regions are enriched for functions related to plant-specific cell growth and tissue organization. The P. patens genome lacks the TE-rich pericentromeric and gene-rich distal regions typical for most flowering plant genomes. More non-seed plant genomes are needed to unravel how plant genomes evolve, and to understand whether the P. patens genome structure is typical for mosses or bryophytes.
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25.
  • Rothfels, Carl J., et al. (författare)
  • The evolutionary history of ferns inferred from 25 low-copy nuclear genes
  • 2015
  • Ingår i: American Journal of Botany. - : Wiley. - 0002-9122 .- 1537-2197. ; 102:7, s. 1089-1107
  • Tidskriftsartikel (refereegranskat)abstract
    • PREMISE OF THE STUDY: Understanding fern (monilophyte) phylogeny and its evolutionary timescale is critical for broad investigations of the evolution of land plants, and for providing the point of comparison necessary for studying the evolution of the fern sister group, seed plants. Molecular phylogenetic investigations have revolutionized our understanding of fern phylogeny, however, to date, these studies have relied almost exclusively on plastid data. METHODS: Here we take a curated phylogenomics approach to infer the first broad fern phylogeny from multiple nuclear loci, by combining broad taxon sampling (73 ferns and 12 outgroup species) with focused character sampling (25 loci comprising 35 877 bp), along with rigorous alignment, orthology inference and model selection. KEY RESULTS: Our phylogeny corroborates some earlier inferences and provides novel insights; in particular, we find strong support for Equisetales as sister to the rest of ferns, Marattiales as sister to leptosporangiate ferns, and Dennstaedtiaceae as sister to the eupolypods. Our divergence-time analyses reveal that divergences among the extant fern orders all occurred prior to similar to 200 MYA. Finally, our species-tree inferences are congruent with analyses of concatenated data, but generally with lower support. Those cases where species-tree support values are higher than expected involve relationships that have been supported by smaller plastid datasets, suggesting that deep coalescence may be reducing support from the concatenated nuclear data. CONCLUSIONS: Our study demonstrates the utility of a curated phylogenomics approach to inferring fern phylogeny, and highlights the need to consider underlying data characteristics, along with data quantity, in phylogenetic studies.
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