Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2014
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2014
License: CC 0
Data sources: Datacite
versions View all 2 versions
addClaim

Data from: A next-generation sequencing approach to river biomonitoring using benthic diatoms

Authors: Kermarrec, Lenaïg; Franc, Alain; Rimet, Frédéric; Chaumeil, Philippe; Frigerio, Jean-Marc; Humbert, Jean-François; Bouchez, Agnès;

Data from: A next-generation sequencing approach to river biomonitoring using benthic diatoms

Abstract

LACL1Benthic sample from Lay river on Mainland France that usually displays high diversity of diatom taxa. Sample collected by scraping material from the surface of stones taken from this river following the French standard (AFNOR 2007) used in routine biomonitoring programs. After DNA extraction and amplification of three markers (SSU rDNA, rbcL and CO1), we sequenced the fragmented PCR products in one random direction a GS FLX Titanium PicoTiterPlate 454 (Roche, Basel, Switzerland) according to the manufacturer’s instructions. Reads were removed if they were too short, contained ambiguous bases, or showed low complexity when examined using PyroCleaner software version 1.0.Pool1.RL3.clean.sff_extract.fastaBDNABenthic sample from Saint-Denis river on French tropical islands in the Indian Ocean (la Réunion) that usually displays low diversity of diatom taxa. Sample collected by scraping material from the surface of stones taken from this river following the French standard (AFNOR 2007) used in routine biomonitoring programs. After DNA extraction and amplification of three markers (SSU rDNA, rbcL and CO1), we sequenced the fragmented PCR products in one random direction a GS FLX Titanium PicoTiterPlate 454 (Roche, Basel, Switzerland) according to the manufacturer’s instructions. Reads were removed if they were too short, contained ambiguous bases, or showed low complexity when examined using PyroCleaner software version 1.0.Pool1.RL7.clean.sff_extract.fastaLACL2Benthic sample from Lay river on Mainland France that usually displays high diversity of diatom taxa. Sample collected by scraping material from the surface of stones taken from this river following the French standard (AFNOR 2007) used in routine biomonitoring programs. After DNA extraction and amplification of three markers (SSU rDNA, rbcL and CO1), we sequenced the fragmented PCR products in one random direction a GS FLX Titanium PicoTiterPlate 454 (Roche, Basel, Switzerland) according to the manufacturer’s instructions. Reads were removed if they were too short, contained ambiguous bases, or showed low complexity when examined using PyroCleaner software version 1.0.Pool1.RL4.clean.sff_extract.fastaCHLOBenthic sample from Chiers river on Mainland France that usually displays low diversity of diatom taxa. Sample collected by scraping material from the surface of stones taken from this river following the French standard (AFNOR 2007) used in routine biomonitoring programs. After DNA extraction and amplification of three markers (SSU rDNA, rbcL and CO1), we sequenced the fragmented PCR products in one random direction a GS FLX Titanium PicoTiterPlate 454 (Roche, Basel, Switzerland) according to the manufacturer’s instructions. Reads were removed if they were too short, contained ambiguous bases, or showed low complexity when examined using PyroCleaner software version 1.0.Pool1.RL5.clean.sff_extract.fastaCOINBenthic sample from Coconi river on French tropical islands in the Indian Ocean (Mayotte) that usually displays high diversity of diatom taxa. Sample collected by scraping material from the surface of stones taken from this river following the French standard (AFNOR 2007) used in routine biomonitoring programs. After DNA extraction and amplification of three markers (SSU rDNA, rbcL and CO1), we sequenced the fragmented PCR products in one random direction a GS FLX Titanium PicoTiterPlate 454 (Roche, Basel, Switzerland) according to the manufacturer’s instructions. Reads were removed if they were too short, contained ambiguous bases, or showed low complexity when examined using PyroCleaner software version 1.0.Pool1.RL6.clean.sff_extract.fasta

Diatoms are main bioindicators used to assess the ecological quality of rivers, but their identification is difficult and time-consuming. Next Generation Sequencing (NGS) can be used to study communities of microorganisms, so we carried out a test of the reliability of 454 pyrosequencing for estimating diatom inventories in environmental samples. We used small subunit ribosomal deoxyribonucleic acid (SSU rDNA), ribulose-1, 5-bisphosphate carboxylase (rbcL), and cytochrome oxidase I (COI) markers and examined reference libraries to define thresholds between the intra- and interspecific and intra- and intergeneric genetic distances. Based on tests of 1 mock community, we used a threshold of 99% identity for SSU rDNA and rbcL sequences to study freshwater diatoms at the species level. We applied 454 pyrosequencing to 4 contrasting environmental samples (with one in duplicate), assigned taxon names to environmental sequences, and compared the qualitative and quantitative molecular inventories to those obtained by microscopy. Species richness detected by microscopy was always higher than that detected by pyrosequencing. Some morphologically detected taxa may have been persistent frustules from dead cells. Some taxa detected by molecular analysis were not detected by morphology and vice versa. The main source of divergence appears to be inadequate taxonomic coverage in DNA reference libraries. Only a small percentage of species (but almost all genera) in morphological inventories were included in DNA reference libraries. DNA reference libraries contained a smaller percentage of species from tropical (27.1–38.1%) than from temperate samples (53.7–77.8%). Agreement between morphological and molecular inventories was better for species with relative abundance >1% than for rare species. The rbcL marker appeared to provide more reproducible results (94.9% species similarity between the 2 duplicates) and was very useful for molecular identification, but procedural standardization is needed. The water-quality ranking assigned to a site via the Pollution Sensitivity diatom index was the same whether calculated with molecular or morphological data. Pyrosequencing is a promising approach for detecting all species, even rare ones, once reference libraries have been developed.

Keywords

species inventories, biomonitoring, Next-generation sequencing, benthic diatom communities, Bacillariophyta, molecular ecology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 14
    download downloads 2
  • 14
    views
    2
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
14
2