Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks

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Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks. / Seymour, Mathew; Edwards, Francois; Cosby, Bernard et al.
In: Science of the Total Environment, Vol. 729, 138801, 10.08.2020.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Seymour, M, Edwards, F, Cosby, B, Kelly, M, de Bruyn, M, Carvalho, G & Creer, S 2020, 'Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks', Science of the Total Environment, vol. 729, 138801. https://doi.org/10.1016/j.scitotenv.2020.138801

APA

Seymour, M., Edwards, F., Cosby, B., Kelly, M., de Bruyn, M., Carvalho, G., & Creer, S. (2020). Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks. Science of the Total Environment, 729, Article 138801. https://doi.org/10.1016/j.scitotenv.2020.138801

CBE

Seymour M, Edwards F, Cosby B, Kelly M, de Bruyn M, Carvalho G, Creer S. 2020. Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks. Science of the Total Environment. 729:Article 138801. https://doi.org/10.1016/j.scitotenv.2020.138801

MLA

VancouverVancouver

Seymour M, Edwards F, Cosby B, Kelly M, de Bruyn M, Carvalho G et al. Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks. Science of the Total Environment. 2020 Aug 10;729:138801. Epub 2020 Apr 21. doi: 10.1016/j.scitotenv.2020.138801

Author

Seymour, Mathew ; Edwards, Francois ; Cosby, Bernard et al. / Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks. In: Science of the Total Environment. 2020 ; Vol. 729.

RIS

TY - JOUR

T1 - Executing multi-taxa eDNA ecological assessment via traditional metrics and interactive networks

AU - Seymour, Mathew

AU - Edwards, Francois

AU - Cosby, Bernard

AU - Kelly, Martyn

AU - de Bruyn, Mark

AU - Carvalho, Gary

AU - Creer, Simon

PY - 2020/8/10

Y1 - 2020/8/10

N2 - Current approaches to ecological assessment are limited by traditional morpho-taxonomic methods presently employed and the inability to meet increasing demands for rapid assessments. Advancements in high throughput sequencing now enable rapid high-resolution ecological assessment using environmental DNA (eDNA). Here we test the ability of using eDNA based assessment methods against traditional assessment of two key indicator groups (diatoms and macroinvertebrates) and show how eDNA across multiple gene regions (COI, rbcL, 12S and 18S) can be used to infer interactive networks that link to ecological assessment criteria. We compared results between taxonomic and eDNA based assessments and found significant positive associations between macroinvertebrate (p < 0.001 R2 = 0.645) and diatom (p = 0.015, R2 = 0.222) assessment metrics. We further assessed the ability of eDNA based assessment to identify environmentally sensitive genera and found an order of magnitude greater potential for 18S versus COI or rbcL to determine environmental filtering of ecologically assessed communities. Lastly, we compared the ability of traditional metrics against co-occurrence network properties of our combined 18S, COI and rbcL indicator genera, to infer habitat quality measures currently used by managers. We found that transitivity (network connectivity), linkage density and cohesion were significantly associated with habitat modification scores (HMS), whereas network properties were inconsistent with linking to the habitat quality score (HQS) metric. The incorporation of multi-marker eDNA network assessment opens up a means for finer scale ecological assessment, currently limited using traditional methods. While utilization of eDNA-based assessment is recommended, direct comparisons with traditional approaches are difficult as the methods are intrinsically different and should be treated as such with regards to future research. Overall, our findings show that eDNA can be used for effective ecological assessment while offering a wider range of scope and application compared to traditional assessment methods.

AB - Current approaches to ecological assessment are limited by traditional morpho-taxonomic methods presently employed and the inability to meet increasing demands for rapid assessments. Advancements in high throughput sequencing now enable rapid high-resolution ecological assessment using environmental DNA (eDNA). Here we test the ability of using eDNA based assessment methods against traditional assessment of two key indicator groups (diatoms and macroinvertebrates) and show how eDNA across multiple gene regions (COI, rbcL, 12S and 18S) can be used to infer interactive networks that link to ecological assessment criteria. We compared results between taxonomic and eDNA based assessments and found significant positive associations between macroinvertebrate (p < 0.001 R2 = 0.645) and diatom (p = 0.015, R2 = 0.222) assessment metrics. We further assessed the ability of eDNA based assessment to identify environmentally sensitive genera and found an order of magnitude greater potential for 18S versus COI or rbcL to determine environmental filtering of ecologically assessed communities. Lastly, we compared the ability of traditional metrics against co-occurrence network properties of our combined 18S, COI and rbcL indicator genera, to infer habitat quality measures currently used by managers. We found that transitivity (network connectivity), linkage density and cohesion were significantly associated with habitat modification scores (HMS), whereas network properties were inconsistent with linking to the habitat quality score (HQS) metric. The incorporation of multi-marker eDNA network assessment opens up a means for finer scale ecological assessment, currently limited using traditional methods. While utilization of eDNA-based assessment is recommended, direct comparisons with traditional approaches are difficult as the methods are intrinsically different and should be treated as such with regards to future research. Overall, our findings show that eDNA can be used for effective ecological assessment while offering a wider range of scope and application compared to traditional assessment methods.

KW - 18S

KW - Biomonitoring

KW - COI

KW - Diatom

KW - High throughput sequencing

KW - Macroinvertebrates

KW - rbcL

U2 - 10.1016/j.scitotenv.2020.138801

DO - 10.1016/j.scitotenv.2020.138801

M3 - Article

VL - 729

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 138801

ER -