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Dissecting host-associated communities with DNA barcodes.

Christopher C M Baker1, Leonora S Bittleston1, Jon G Sanders1

  • 1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 3, 2016
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Summary
This summary is machine-generated.

DNA barcoding and metabarcoding reveal symbiotic communities in plants and animals. These genetic methods identify species, classify new ones, and track evolutionary histories, enhancing ecological studies.

Keywords:
CephalotesDNA barcodingNepenthesVachellia drepanolobiummetabarcodingspecies interactions

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Area of Science:

  • Ecology
  • Genetics
  • Evolutionary Biology

Background:

  • Symbiotic interactions are fundamental to ecosystems.
  • Traditional methods struggle to identify and classify diverse symbiotic organisms.
  • DNA barcoding offers a molecular tool for species identification.

Purpose of the Study:

  • To illustrate the utility of DNA barcoding and metabarcoding in studying symbiotic interactions.
  • To showcase applications in diverse host-symbiont systems.
  • To highlight the role of genetic methods in ecological and evolutionary research.

Main Methods:

  • DNA barcoding and metabarcoding for symbiont identification and community characterization.
  • Application to arthropod communities in ant-plants (Vachellia drepanolobium).
  • Analysis of arthropod and protozoan inquilines in Nepenthes pitcher plants.
  • Investigation of gut bacterial communities in Cephalotes ants.

Main Results:

  • Demonstrated effectiveness of DNA barcoding for identifying symbionts, including undescribed species.
  • Showcased rapid characterization of entire symbiont communities using metabarcoding.
  • Enabled simultaneous assessment of symbiont and host evolutionary histories.

Conclusions:

  • DNA barcoding and metabarcoding are invaluable tools for studying host-symbiont interactions.
  • These genetic methods facilitate ecological signal isolation and evolutionary analyses.
  • Future advancements in sequencing and computation will further expand their utility, especially with flexible approaches to genetic loci and genomic data.