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Study

Study Name: Tales from the crypt: Genome mining from fungarium specimens improves resolution of the mushroom tree of life

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Biosamples: 0 Seq. Projects: 4
STUDY INFORMATION
GOLD Study ID Gs0119891
Study Name Tales from the crypt: Genome mining from fungarium specimens improves resolution of the mushroom tree of life
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NCBI Umbrella Bioproject ID
SRA Studies
SRA Study Id ERP009562  (Link to NCBI )
Study Title Tales from the crypt: Genome mining from fungarium specimens improves resolution of the mushroom tree of life
Study Abstract The enormous breadth and depth of specimens held within the world's biological collections offer an unparalleled opportunity to capture genomic data from across the entire range of known biological diversity—a task that would take many lifetimes to complete if we could rely only on fresh samples. High-throughput sequencing provides a technical solution to the long-term problems of recalcitrant and degraded DNA typical of museum specimens, suggesting that we may be on the verge of a major collections-based revolution. Although the potential is great, the feasibility of using preserved collections for large-scale, taxonomically comprehensive phylogenomic studies remains unknown. Here we demonstrate the continued relevance of fungarium collections in the genomic era by analysing a genomic dataset composed of 39 genomes, including 14 newly generated draft genomes derived from short-read shotgun sequencing of preserved specimens, frozen and freeze-dried material, representing most of the known families of Agaricales. We predicted homologs of 210 putative single copy genes in the newly generated draft genome assemblies, of which 208 were used for phylogenetic reconstruction. Our analyses resulted in a robust and, for the first time, fully supported phylogeny of the Agaricales, supporting the recognition of eight new suborders and providing a resource for testing hypotheses of the evolution of mushrooms. Our analysis of optimal combinations of ranked genes using an information theory-based method provides guidance on gene selection for future studies, enabling efficient application of high-throughput sequencing techniques toward unlocking the potential of collections-based research in the genomic era.
  
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Legacy GOLD ID
Added By JGI automated process on 2016-05-18
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ECOSYSTEM CLASSIFICATION
Ecosystem
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STUDY COMPOSITION
Number of Biosamples 0
Number of Organisms 4
Number of Seq Projects 4
Number of Analysis Projects 4
Number of Related Studies 0

 

 

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