Idioma:

Advancing the integration of multi‐marker metabarcoding data in dietary analysis of trophic generalists

Silva, Luís P. ; Mata, Vanessa A. ; Lopes, Pedro B. ; Pereira, Paulo ; Jarman, Simon N. ; Lopes, Ricardo J. ; Beja, Pedro

Molecular ecology resources, 2019-11, Vol.19 (6), p.1420-1432 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

Texto completo disponível

Citações Citado por

Enviar para

Título:
Advancing the integration of multi‐marker metabarcoding data in dietary analysis of trophic generalists
Autor: Silva, Luís P. ; Mata, Vanessa A. ; Lopes, Pedro B. ; Pereira, Paulo ; Jarman, Simon N. ; Lopes, Ricardo J. ; Beja, Pedro
Assuntos: Animals ; Biomarkers - metabolism ; bird ; Deoxyribonucleic acid ; Diet ; Diet - methods ; DNA ; DNA - genetics ; DNA Barcoding, Taxonomic - methods ; Feces ; High-Throughput Nucleotide Sequencing - methods ; Identification methods ; Ingestion ; Integration ; Markers ; metabarcoding ; morphological identification ; Morphology ; overlapping markers ; Passeriformes - genetics ; Passeriformes - metabolism ; Prey ; Programming languages ; Resource ; RESOURCE ARTICLES ; secondary predation ; Taxa
É parte de: Molecular ecology resources, 2019-11, Vol.19 (6), p.1420-1432
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Luís P. da Silva and Vanessa A. Mata are joint first authors.
Descrição: The application of DNA metabarcoding to dietary analysis of trophic generalists requires using multiple markers in order to overcome problems of primer specificity and bias. However, limited attention has been given to the integration of information from multiple markers, particularly when they partly overlap in the taxa amplified, and vary in taxonomic resolution and biases. Here, we test the use of a mix of universal and specific markers, provide criteria to integrate multi‐marker metabarcoding data and a python script to implement such criteria and produce a single list of taxa ingested per sample. We then compare the results of dietary analysis based on morphological methods, single markers, and the proposed combination of multiple markers. The study was based on the analysis of 115 faeces from a small passerine, the Black Wheatears (Oenanthe leucura). Morphological analysis detected far fewer plant taxa (12) than either a universal 18S marker (57) or the plant trnL marker (124). This may partly reflect the detection of secondary ingestion by molecular methods. Morphological identification also detected far fewer taxa (23) than when using 18S (91) or the arthropod markers IN16STK (244) and ZBJ (231), though each method missed or underestimated some prey items. Integration of multi‐marker data provided far more detailed dietary information than any single marker and estimated higher frequencies of occurrence of all taxa. Overall, our results show the value of integrating data from multiple, taxonomically overlapping markers in an example dietary data set.
Editor: England: Wiley Subscription Services, Inc
Idioma: Inglês

Links

View this record in MEDLINE/PubMed

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Advancing the integration of multi‐marker metabarcoding data in dietary analysis of trophic generalists

Silva, Luís P. ; Mata, Vanessa A. ; Lopes, Pedro B. ; Pereira, Paulo ; Jarman, Simon N. ; Lopes, Ricardo J. ; Beja, Pedro

England: Wiley Subscription Services, Inc

Buscando em bases de dados remotas. Favor aguardar.