Transitioning from environmental genetics to genomics using mitogenome
reference databases
Abstract
Species detection using eDNA is revolutionizing the global capacity to
monitor biodiversity. However, the lack of regional, vouchered, genomic
sequence information—especially sequence information that includes
intraspecific variation—creates a bottleneck for management agencies
wanting to harness the complete power of eDNA to monitor taxa and
implement eDNA analyses. eDNA studies depend upon regional databases of
complete mitogenomic sequence information to evaluate the effectiveness
of such data to differentiate, identify and detect taxa. We created the
Oregon Biodiversity Genome Project working group to utilize recent
advances in sequencing technology to create a database of complete, near
error-free mitogenomic sequences for all of Oregon’s resident freshwater
fishes. So far, we have successfully assembled the complete mitogenomes
of 313 specimens of freshwater fish representing 7 families, 55 genera,
and 129 (88%) of the 146 resident species and lineages. Our comparative
analyses of these sequences illustrate that the short
(~150 bp) mitochondrial “barcode” regions typically
used for eDNA assays are not consistently diagnostic for species-level
identification and that no single region is best for metabarcoding
Oregon’s fishes. However, often-overlooked intergenic regions of the
mitogenome such as the D-loop have the potential to reliably diagnose
and differentiate species. This project provides a blueprint for other
researchers to follow as they build regional databases. It also
illustrates the taxonomic value and limits of complete mitogenomic
sequences, and how current eDNA assays and the “PCR-free”
environmental genomics methods of the future can best leverage this
information.