Plant DNA Barcodes, Community Ecology, and Species Interactions

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https://mdpi.com/books/pdfview/book/6741Contributor(s)
Kress, W. John (editor)
Gostel, Morgan (editor)
Language
EnglishAbstract
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.
Keywords
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; symbioses; behavioral ecology; elephant (Loxodonta africana); ForestGEO; geographic mosaic of species interactions; phylogenetic community ecology; landscape ecology; megaherbivores; phylogenetic signal; plant–herbivore interactions; montane forest; Ngel Nyaki; species identification; biobanking; GenBank; ITS2; matK; psbA-trnH; rbcL; viridiplantae; DNA metabarcoding; pollen; pollinators; pollen metabarcoding; plant–pollinator interactions; honeybees; bumblebees; hoverflies; medicinal plants; 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/aISBN
9783036560434, 9783036560441Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Research and information: general
Mathematics and Science