Molecular biodiversity
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB43928 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A collection of MS/MS data 112 microbial species. #BiodiversityLibrary
2015-02-26 | MSV000079053 | MassIVE
Project description:<p>Functional ecology and biodiversity lack integrative reference data that combine the assessment of traits at different levels. Here, we integrate data from 16 field samples of complex thallose liverworts (order Marchantiales) collected from biological soil crust communities in Southern Sweden and Germany at three levels: (1) bioimaging (morphometric measurements from macro- and microscopy), (2) metabolomics (molecular computations performed on liquid chromatography high-resolution mass-spectrometry (UPLC/ESI-QTOF-MS) with data-dependent acquisition (DDA-MS) data) and (3) DNA marker sequencing. These data are used to construct a reference framework including a proposed naming scheme for the estimation of molecular traits and for demonstrating the systematic and standardized extraction of phenotypic and molecular traits for integration into the plant trait database TRY. Phylogenetic trees and partitioning around medoids are used to demonstrate the assessment of evolutionary relationships and the trait space connecting ecological hypotheses and documenting knowledge gains across domains. With our reference framework we want to encourage the combined assessment, reuse and integration of phenotypic and molecular traits into functional biodiversity research and related disciplines.</p>
2024-06-05 | MTBLS2239 | MetaboLights
Project description:We characterized the bacterial diversity of chlorinated drinking water from three surface water treatment plants supplying the city of Paris, France. For this purpose, we used serial analysis of V6 ribosomal sequence tag (SARST-V6) to produce concatemers of PCR-amplified ribosomal sequence tags (RSTs) from the V6 hypervariable region of the 16S rRNA gene for sequence analysis. Using SARST-V6, we obtained bacterial profiles for each drinking water sample, demonstrating a strikingly high degree of biodiversity dominated by a large collection of low-abundance phylotypes. In all water samples, between 57.2-77.4% of the sequences obtained indicated bacteria belonging to the Proteobacteria phylum. Full-length 16S rDNA sequences were also generated for each sample, and comparison of the RSTs with these sequences confirmed the accurate assignment for several abundant bacterial phyla identified by SARST-V6 analysis, including members of unclassified bacteria, which account for 6.3-36.5% of all V6 sequences. These results suggest that these bacteria may correspond to a common group adapted to drinking water systems. The V6 primers used were subsequently evaluated with a computer algorithm to assess their hybridization efficiency. Potential errors associated with primer-template mismatches and their impacts on taxonomic group detection were investigated. The biodiversity present in all three drinking water samples suggests that the bacterial load of the drinking water leaving treatment plants may play an important role in determining the downstream community dynamics of water distribution networks. 3 different drinking water samples (Orly, Ivry, Joinville drinking water sample)
2009-01-07 | E-GEOD-14318 | biostudies-arrayexpress
Project description:We characterized the bacterial diversity of chlorinated drinking water from three surface water treatment plants supplying the city of Paris, France. For this purpose, we used serial analysis of V6 ribosomal sequence tag (SARST-V6) to produce concatemers of PCR-amplified ribosomal sequence tags (RSTs) from the V6 hypervariable region of the 16S rRNA gene for sequence analysis. Using SARST-V6, we obtained bacterial profiles for each drinking water sample, demonstrating a strikingly high degree of biodiversity dominated by a large collection of low-abundance phylotypes. In all water samples, between 57.2-77.4% of the sequences obtained indicated bacteria belonging to the Proteobacteria phylum. Full-length 16S rDNA sequences were also generated for each sample, and comparison of the RSTs with these sequences confirmed the accurate assignment for several abundant bacterial phyla identified by SARST-V6 analysis, including members of unclassified bacteria, which account for 6.3-36.5% of all V6 sequences. These results suggest that these bacteria may correspond to a common group adapted to drinking water systems. The V6 primers used were subsequently evaluated with a computer algorithm to assess their hybridization efficiency. Potential errors associated with primer-template mismatches and their impacts on taxonomic group detection were investigated. The biodiversity present in all three drinking water samples suggests that the bacterial load of the drinking water leaving treatment plants may play an important role in determining the downstream community dynamics of water distribution networks.
2009-01-08 | GSE14318 | GEO
Project description:We performed aCGH analysis using a custom Agilent oligonucleotide array to analyze 288 probands with idiopathic autism spectrum disorder (ASD) from the Simons Simplex Collection (SSC) of autism samples. The array is customized to high resolution coverage of exons for genes identified as encoding proteins included in a detailed protein interaction network for autism.
2011-06-08 | GSE29576 | GEO
Project description: Not available
| S-EPMC3656639 | biostudies-other
Project description:Ophiocordyceps sinensis (Berk.) Sacc., a complex of larval carcass (sclerotium) and stroma formed by the fungus of Hirsutella sinensis infecting Hepialidae insect larvae, whose fruiting body is also the main fungal structure used for taxonomic identification. However, the induction of fruiting body is still inefficient and the high cost resulting in the large-scale artificial cultivation of this fungus has been unsuccessful in China.In this study,important factors and target genes associated with the fruiting body induction during the development of O. sinensis were identified, providing a basic molecular mechanism for facilitating the large-scale artificial cultivation of O. sinensis.
2021-06-30 | GSE160505 | GEO