Plant DNA Barcodes, Community Ecology, and Species Interactions

Edited by
February 2023
194 pages
  • ISBN978-3-0365-6043-4 (Hardback)
  • ISBN978-3-0365-6044-1 (PDF)

This book is a reprint of the Special Issue Plant DNA Barcodes, Community Ecology, and Species Interactions that was published in

Biology & Life Sciences
Environmental & Earth Sciences

The community of biologists has been eager to realize the promise of DNA barcodes since the concept was first proposed in 2003. As we approach twenty years of DNA barcoding, their application continues to increase, and methods continue to be developed that utilize this ever-expanding resource for multiple fields of biology. The nearly ten million DNA barcodes available today provide a database that is especially useful for ecology and evolutionary biology. Thanks to these large and well-curated DNA barcode resources, fundamental biological questions can be more rigorously addressed regarding community evolution, assembly, herbivory, pollination, and species interactions across and among diverse habitats and organisms, including plants, animals, fungi, and microorganisms. This reprint illustrates the wide variety of applications of DNA barcodes, especially in plants, to tackle research topics in ecology, evolutionary biology, plant–animal interactions, taxonomy, conservation, and ethnobotany.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
alien woody plants; horizon scanning; DNA barcode; predicting invasion success; environmental policy; propagule pressure; trophic interactions; diet specialization; DNA barcoding; bush cricket; Barro Colorado Island; Panama; katydid; tropical trees; grass pollen; metabarcoding; plant barcodes; high-throughput sequencing; species interactions; metabarcoding; symbioses; behavioral ecology; DNA barcoding; elephant (Loxodonta africana); ForestGEO; geographic mosaic of species interactions; phylogenetic community ecology; landscape ecology; megaherbivores; phylogenetic signal; plant–herbivore interactions; DNA barcoding; ForestGEO; montane forest; Ngel Nyaki; species identification; biobanking; DNA barcoding; GenBank; ITS2; matK; psbA-trnH; rbcL; viridiplantae; DNA metabarcoding; pollen; pollinators; pollen metabarcoding; plant–pollinator interactions; DNA barcoding; honeybees; bumblebees; hoverflies; medicinal plants; DNA barcoding; nuclear barcode; plastid barcodes; unsupervised learning; supervised learning; ASTRAL; biological collections; cryptic species; diversification; fungal barcoding; fungarium; historical specimens; natural history collections; phenotype; heathlands; phylogenetic diversity; barcoding; phylogeny; conservation; refugia; n/a

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