Science Inventory

High-throughput environmental DNA analysis informs a biological assessment of an urban stream

Citation:

Bagley, M., E. Pilgrim, M. Knapp, C. Yoder, J. Santodomingo, AND A. Banerji. High-throughput environmental DNA analysis informs a biological assessment of an urban stream. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, 104:378-389, (2019). https://doi.org/10.1016/j.ecolind.2019.04.088

Impact/Purpose:

Biological assessments of aquatic communities, or bioassessments, are approaches to evaluating the condition of waterbodies that have proved effective for assessing human disturbances and measuring progress of restoration efforts. While typically based on careful morphological analysis of biological specimens, there is increasing interest in the use of DNA-based approaches to aid the description and analysis of biodiversity. To date, few studies have compared DNA data to those which are collected by bioassessment programs to determine whether waterbodies are biologically impaired. We incorporated environmental DNA (eDNA) sampling of biological materials in the water column (seston) into a watershed-scale stream biological assessment to evaluate DNA patterns in relation to established measures of ecological impairment. We found that sites could be differentiated based on ecological impairment status, but the species identified by DNA were different than those typically assessed in bioassessments (e.g,. benthic invertebrates, fish) and responded differently. These results suggest that even a simple DNA filtering protocol can provide biodiversity information of value to stream bioassessment programs. We suggest that the approach may be useful as a rapid assessment protocol to supplement more intensive field sampling efforts. This information will be valuable to local, State, national, and international bioassessment programs and aquatic resource managers.

Description:

There is growing interest in the use of DNA barcoding and metabarcoding approaches to aid biological assessments and monitoring of waterbodies. While biodiversity measured by morphology and by DNA often has been found correlated, few studies have compared DNA data to established measures of impairment such as multimetric pollution tolerance indices used by many bioassessment programs. We incorporated environmental DNA (eDNA) metabarcoding of seston into a rigorous watershed-scale biological assessment of an urban stream to examine the extent to which eDNA richness and diversity patterns were correlated with multimetric indices and ecological impairment status designations. We also evaluated different filtering approaches and taxonomic classifications to identify best practices for environmental assessments. Seston eDNA revealed a wide diversity of eukaryotic taxa but was dominated by diatoms (36%). Differentiation among sites in alpha and beta diversity was greater when operational taxonomic units (OTUs) were classified taxonomically, but coarse resolution taxonomy (kingdom) was more informative than finer resolution taxonomy (family, genus). Correlations of DNA richness and diversity with multimetric indices for fish and macroinvertebrates were generally weak, possibly because Metazoa were not highly represented in our DNA dataset. Nonetheless, sites could be differentiated based on ecological impairment status, with more impaired sites having lower eDNA diversity as measured by the Shannon index, but higher taxonomic richness. Significant environmental drivers of community structure, as inferred from constrained ordination analyses, differed among kingdoms within the eDNA dataset, as well as from fish and macrobenthos, suggesting that eDNA provides novel environmental information. These results suggest that even a simple seston eDNA filtering protocol can provide biodiversity information of value to stream bioassessment programs. The approach bears further investigation as a potentially useful rapid assessment protocol to supplement more intensive field sampling efforts.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:09/01/2019
Record Last Revised:05/22/2019
OMB Category:Other
Record ID: 345152