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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorBorrego Ramos, María 
dc.contributor.authorBécares Mantecón, Eloy 
dc.contributor.authorGarcía García, Pedro 
dc.contributor.authorNistal García, Alejandro 
dc.contributor.authorBlanco Lanza, Saúl 
dc.contributor.otherGeneticaes_ES
dc.date2021
dc.date.accessioned2024-02-06T08:48:34Z
dc.date.available2024-02-06T08:48:34Z
dc.identifier.citationBorrego-Ramos, M., Bécares, E., García, P., Nistal, A., & Blanco, S. (2021). Epiphytic diatom-based biomonitoring in mediterranean ponds: Traditional microscopy versus metabarcoding approaches. Water (Switzerland), 13(10), Article e1351. https://doi.org/10.3390/W13101351es_ES
dc.identifier.otherhttps://www.mdpi.com/2073-4441/13/10/1351es_ES
dc.identifier.urihttps://hdl.handle.net/10612/18085
dc.description.abstract[EN] Benthic diatoms have traditionally been used as bioindicators of aquatic ecosystems. Because diatom-based monitoring of water quality is required by European legislation, molecular-based methods had emerged as useful alternatives to classical methods based on morphological identification using light microscopy. The aim of this study was to test the reliability of DNA metabarcoding combined with High-Throughput Sequencing (HTS) techniques in the bioassessment of the trophic status of 22 Mediterranean shallow ponds in NW Spain. For each pond, the Trophic Diatom Index (TDI) was calculated from inventories obtained by identification using light microscopy (LM) followed by high-throughput sequencing (HTS) at the molecular level. Ponds were subsequently classified into five water quality classes. The results showed a good correspondence between both methods, especially after applying a correction factor that depended on the biovolume of the cells. This correspondence led to the assignment to the same quality class in 59% of the ponds. The determination and quantification of valves or DNA sequences was one of the main pitfalls, which mainly included those related to the variability in the relative abundances of some species. Accordingly, ponds with similar relative abundances for the dominant species were assigned to the same quality class. Moreover, other difficulties leading the discrepancies were the misidentification of some species due to the presence of semi-cryptic taxa, the incompleteness of the reference database and the bioinformatic protocol. Thus, the validation of DNA-based methods for the identification of freshwater diatoms represents an important goal, as an alternative to using traditional methods in Mediterranean shallow pondses_ES
dc.languageenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEcología. Medio ambientees_ES
dc.subjectGenéticaes_ES
dc.subject.otherBenthic diatomses_ES
dc.subject.otherDNA barcodinges_ES
dc.subject.otherEcological assessmentes_ES
dc.subject.otherShallow pondes_ES
dc.titleEpiphytic Diatom-Based Biomonitoring in Mediterranean Ponds: Traditional Microscopy versus Metabarcoding Approacheses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3390/w13101351
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/CGL2017-84176R/ES/Aplicación de la teoría de metacomunidades a la gestión de la biodiversidad de lagunas en paisajes agroganaderos del mediterráneo/METAPONDSes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2073-4441
dc.journal.titleWateres_ES
dc.volume.number13es_ES
dc.issue.number10es_ES
dc.page.initial1351es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco2409.03 Genética de Poblacioneses_ES
dc.subject.unesco2417.13 Ecología Vegetales_ES
dc.subject.unesco2417.14 Genética Vegetales_ES
dc.description.projectThis research was funded by the Spanish Ministry of Economy and Industry, project CGL2017-84176R (METAPONDS) and Fundación Biodiversidad, Ministerio para la Transición Ecológica y el Reto Demográfico project BT-2019es_ES


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Atribución 4.0 Internacional
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