DNA Barcoding and Morphological Identification of Benthic Nematodes Assemblages of Estuarine Intertidal Sediments: Advances in Molecular Tools for Biodiversity Assessment

dc.contributor.authorAvó, Ana Patrícia
dc.contributor.authorDaniell, Tim
dc.contributor.authorNeilson, Roy
dc.contributor.authorOliveira, Solange
dc.contributor.authorBranco, Jordana
dc.contributor.authorAdão, Helena
dc.contributor.editorPham, Christopher Kim
dc.date.accessioned2018-02-05T15:04:42Z
dc.date.available2018-02-05T15:04:42Z
dc.date.issued2017-03-11
dc.description.abstractConcerns regarding the status of marine ecosystems have increased in part due to traditional and emerging human activities in marine waters, driving a demand for approaches with high sample throughput capability to improve ecosystem monitoring. Nematodes are already used as indicator species in biodiversity assessments and biomonitoring of terrestrial and marine systems, with molecular approaches offering the opportunity to utilize these organisms further in large scale ecological surveys and environmental assessments. Based on an available nematode dataset for estuarine sediments of the Mira estuary (SW coast, Portugal), we evaluated the diversity of the nematode community of this system, using the molecular markers 18S rRNA and COI genes. These approaches were compared to voucher specimens from a morphological characterization of the same samples allowing validation and comparison between nematode communities. The spatial and temporal variability of the density and diversity of the nematode assemblages was analyzed based on morphological characterization to allow the validation and efficiency of the genetic characterization. A PCO ordination plot showed a distinct separation of the assemblages between sampling occasions confirmed by PERMANOVA analysis, which showed significant differences, although no significant differences were detected between sampling sites. The morphological characterization identified 50 genera of which only 26 and 25 distinct 18S rRNA and COI DNA barcodes, respectively, were obtained. 90.2% of the morphologically identified specimens representing eleven different genera, successfully generated DNA barcodes for both 18S rRNA and COI genes. This study confirmed that the success of the 18S rRNA gene PCR amplification is higher than of COI gene with 43 species amplified against 34. The study highlights a limitation of available sequences for both targets in databases when compared to the known diversity of marine nematodes. The gene sequences ofAvó et al. DNA Barcoding of Estuarine Nematode Assemblages this study enriched the databases, contributing gene sequences from 7 to 16 new genera for the 18S rRNA and COI genes, respectively. A robust database of gene sequences is a prerequisite for the development of robust high sample throughput techniques to be applied in marine assessing and monitoring programs.por
dc.identifier.authoremailpat.avo@uevora.pt
dc.identifier.authoremailtim.daniell@hutton.ac.uk
dc.identifier.authoremailRoy.Neilson@hutton.ac.uk
dc.identifier.authoremailnd
dc.identifier.authoremailjordana.branco@gmail.com
dc.identifier.authoremailhadao@uevora.pt
dc.identifier.citationAvó AP, Daniell TJ, Neilson R, Oliveira S, Branco J and Adão H (2017) DNA Barcoding and Morphological Identification of Benthic Nematodes Assemblages of Estuarine Intertidal Sediments: Advances in Molecular Tools for Biodiversity Assessment. Front. Mar. Sci. 4:66.por
dc.identifier.doi10.3389/fmars.2017.00066por
dc.identifier.scientificarea223por
dc.identifier.urihttp://hdl.handle.net/10174/22013
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherFrontiers in Marine Sciencepor
dc.rightsopenAccesspor
dc.subjectBenthic nematodespor
dc.subjectgood environmental status (GES)por
dc.subjectDNA barcodingpor
dc.subjectbiodiversity assessmentpor
dc.subjectCOI,por
dc.subjectmolecular monitoring,por
dc.subject18S rRNApor
dc.titleDNA Barcoding and Morphological Identification of Benthic Nematodes Assemblages of Estuarine Intertidal Sediments: Advances in Molecular Tools for Biodiversity Assessmentpor
dc.typearticlepor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Avó et al 2017 1 pg. pdf.pdf
Size:
308.9 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: