English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/141267
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

Metabarcoding Techniques for Assessing Biodiversity of Marine Animal Forests

AutorWangensteen, Owen S. ; Turon, Xavier
Palabras claveMarine benthos
Metabarcoding pipelines
Marine biodiversity assessment
Eukaryotic community assessment
Hardbottom substrates
Fecha de publicación2016
EditorSpringer
CitaciónMetabarcoding techniques for assessing biodiversity of marine animal forests. In: Marine animal forests. The ecology of benthic biodiversity hotspots (Rossi S, Bramanti L, Gori A, Orejas Saco del Valle C, eds.). Springer International Publishing. Switzerland : 1-29. DOI 10.1007/978-3-319-17001-5_53-1 (2016)
ResumenThe “marine animal forests” are among the most diverse ecosystems in the Biosphere. However, exhaustive biodiversity assessment of these communities has been so far elusive. The real extent of biodiversity and its temporal and spatial variability patterns remain unknown for most animal forests, mainly due to the inability of traditional taxonomy methods to cope with such degree of diversity and structural complexity. The development of metabarcoding techniques has revolutionized biomonitoring. Using this approach, thousands of species present in any environmental sample can be detected by high-throughput DNA sequencing and identified using public databases. Though initially limited to homogeneous substrates such as plankton or sediments, the applications of metabarcoding have been recently extended to communities on heterogeneous complex hard bottom substrates. Here we present novel metabarcoding protocols, based on the use of short fragments of 18S rRNA or cytochrome c oxidase I genes as genetic markers. We aim to develop methods for robust, reproducible eukaryotic biodiversity assessment of structurally complex communities such as marine animal forests, allowing characterization of communities living on hard-bottom substrates or other marine benthic ecosystems. We propose some guidelines focusing on sampling techniques, sample preprocessing, DNA extraction, selection of genetic markers, and bioinformatic pipelines, including steps such as sequence filtering (removal of low quality reads), clustering algorithms for delimiting molecular operational taxonomic units, and automated taxonomic assignment using reference databases.We expect these recommendations will help marine ecologists to become familiar with the paradigm shift that metabarcoding represents in the way marine ecosystems will be monitored and managed in the next future.
Descripción28 páginas, 3 tablas, 3 figuras
Versión del editorhttp://dx.doi.org/10.1007/978-3-319-17001-5_53-1
URIhttp://hdl.handle.net/10261/141267
DOI10.1007/978-3-319-17001-5_53-1
E-ISSN978-3-319-17001-5
Aparece en las colecciones: (CEAB) Libros y partes de libros
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.