Coghlan, Stephanie

Using environmental DNA (eDNA) metabarcoding to assess aquatic plant communities

Type:
Names:
Creator (cre): Coghlan, Stephanie, Thesis advisor (ths): Freeland, Joanna, Thesis advisor (ths): Shafer, Aaron, Degree committee member (dgc): McConnell, Sabine, Degree granting institution (dgg): Trent University
Abstract:

Environmental DNA (eDNA) metabarcoding targets sequences with interspecific

variation that can be amplified using universal primers allowing simultaneous detection

of multiple species from environmental samples. I developed novel primers for three

barcodes commonly used to identify plant species, and compared amplification success

for aquatic plant DNA against pre-existing primers. Control eDNA samples of 45 plant

species showed that species-level identification was highest for novel matK and preexisting

ITS2 primers (42% each); remaining primers each identified between 24% and

33% of species. Novel matK, rbcL, and pre-existing ITS2 primers combined identified

88% of aquatic species. The novel matK primers identified the largest number of species

from eDNA collected from the Black River, Ontario; 21 aquatic plant species were

identified using all primers. This study showed that eDNA metabarcoding allows for

simultaneous detection of aquatic plants including invasive species and species-at-risk,

thereby providing a biodiversity assessment tool with a variety of applications.

Author Keywords: aquatic plants, biodiversity, bioinformatics, environmental DNA (eDNA), high-throughput sequencing, metabarcoding

2018