skip to main content
Idioma:
Tipo de recurso Mostra resultados com: Mostra resultados com: Índice

Applying Pollen DNA Metabarcoding to the Study of Plant–Pollinator Interactions

Bell, Karen L ; Fowler, Julie ; Burgess, Kevin S ; Dobbs, Emily K ; Gruenewald, David ; Lawley, Brice ; Morozumi, Connor ; Brosi, Berry J

Applications in plant sciences, 2017-06, Vol.5 (6), p.n/a [Periódico revisado por pares]

United States: Botanical Society of America

Texto completo disponível

Citações Citado por
  • Título:
    Applying Pollen DNA Metabarcoding to the Study of Plant–Pollinator Interactions
  • Autor: Bell, Karen L ; Fowler, Julie ; Burgess, Kevin S ; Dobbs, Emily K ; Gruenewald, David ; Lawley, Brice ; Morozumi, Connor ; Brosi, Berry J
  • Assuntos: APPLICATION ARTICLES ; Contamination ; Deoxyribonucleic acid ; DNA ; DNA metabarcoding ; Forest management ; Identification ; ITS ; Methods ; Nucleotide sequence ; palynology ; Plant reproduction ; Plant sciences ; plant–pollinator interactions ; Pollen ; Pollination ; pollination networks ; rbcL ; Studies ; Taxonomy
  • É parte de: Applications in plant sciences, 2017-06, Vol.5 (6), p.n/a
  • Notas: The authors thank the U.S. Army Research Office (grants W911NF‐13‐1‐0247 and W911NF‐13‐1‐0100) and the U.S. Department of Agriculture (USDA‐NIFA‐2012‐67009‐20090) for funding. The authors thank Rachel Gardner for fieldwork assistance and Isabel Gottleib and Robert Fletcher for assistance with site selection and project logistics. Sam Droege provided extensive assistance with identification of difficult bee specimens. The authors thank Alexander Keller and Markus Ankenbrand (University of Würzburg) for providing advice on adapting their bioinformatics pipeline to our
    rbcL
    reference library.
    ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: Premise of the study: To study pollination networks in a changing environment, we need accurate, high-throughput methods. Previous studies have shown that more highly resolved networks can be constructed by studying pollen loads taken from bees, relative to field observations. DNA metabarcoding potentially allows for faster and finer-scale taxonomic resolution of pollen compared to traditional approaches (e.g., light microscopy), but has not been applied to pollination networks. Methods: We sampled pollen from 38 bee species collected in Florida from sites differing in forest management. We isolated DNA from pollen mixtures and sequenced rbcL and ITS2 gene regions from all mixtures in a single run on the Illumina MiSeq platform. We identified species from sequence data using comprehensive rbcL and ITS2 databases. Results: We successfully built a proof-of-concept quantitative pollination network using pollen metabarcoding. Discussion: Our work underscores that pollen metabarcoding is not quantitative but that quantitative networks can be constructed based on the number of interacting individuals. Due to the frequency of contamination and false positive reads, isolation and PCR negative controls should be used in every reaction. DNA metabarcoding has advantages in efficiency and resolution over microscopic identification of pollen, and we expect that it will have broad utility for future studies of plant–pollinator interactions.
  • Editor: United States: Botanical Society of America
  • Idioma: Inglês
Links
Voltar para lista de resultados
Resultado  1 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.