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Abstract

Evaluating Environmental DNA Efficiency in the Detection of Freshwater Species in a System with High Endemism †

1
MARE—Marine and Environmental Sciences Center, Faculty of Sciences, University of Lisbon, 1600-548 Lisbon, Portugal
2
CIBIO—Research Center in Biodiversity and Genetic Resources, University of Porto, 4485-661 Vairão, Portugal
3
cE3c—Center for Ecology, Evolution and Environmental Changes & Museu Nacional de História Natural e da Ciência, Universidade de Lisboa, 1250-102 Lisbon, Portugal
4
cE3c—Center for Ecology, Evolution and Environmental Changes & CHANGE—Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
5
Centre for Environmental and Marine Studies, Faculty of Sciences, University of Lisbon, 1749-016 Lisboa, Portugal
6
Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, NO-0371 Oslo, Norway
7
Department of Biology, KU Leuven, 3000 Leuven, Belgium
8
Royal Museum for Central Africa, Section Vertebrates, 3080 Tervuren, Belgium
*
Author to whom correspondence should be addressed.
Presented at the IX Iberian Congress of Ichthyology, Porto, Portugal, 20–23 June 2022.
Presenting author (Poster presentation).
Biol. Life Sci. Forum 2022, 13(1), 116; https://doi.org/10.3390/blsf2022013116
Published: 17 June 2022
(This article belongs to the Proceedings of The IX Iberian Congress of Ichthyology)

Abstract

:
Freshwater fish diversity is highly imperiled due to environmental change, habitat destruction, over-fishing and invasive species. Consequently, it is crucial to develop efficient and easy-to-standardize tools to describe these communities. Traditional fishing methods might not be able to capture all-size and well-hidden organisms, which can lead to an underestimation of biodiversity. In theory, it is possible to detect all species present in a certain locality by sequencing DNA traces left in the environment (eDNA). This approach is especially promising in freshwater systems, which may function as eDNA reservoirs of their respective drainage area. In this context, eDNA metabarcoding is the established method where amplicons for a specific locus are sequenced. However, primers affinity towards certain taxa can lead to false negatives and biased species abundances estimates. In this study, we tested eDNA ability and efficiency in detecting fish species in a threatened and highly endemic ecosystem: the Portuguese area occupied by the Tagus Basin. DNA present in the collected water samples from the Tagus River was amplified with 12S rRNA gene primers and sequenced with Illumina MiSeq technology. Primer choice was previously carried out by in silico PCR test which evaluates primers taxonomic coverage and species identification reliability. The obtained sequences were converted to 312 Amplicon Sequence Variance (ASV), filtered to decrease contamination errors, and compared to different reference databases. Obtained results were compared with conventional methods, such as electric fishing, considering that differences might shed light on which factors constrain species detection using eDNA metabarcoding. Preliminary results show congruences in fish species distributions between electrofishing and eDNA metabarcoding. However, eDNA metabarcoding detected exotic species that had not been previously detected in the Tagus basin, but which are known to exist in other Iberian basins: the South American cichlid—ustraloheros facetus—and a European leuciscid—Squalius cephalus. Nevertheless, traditional methods were more efficient in describing fish communities at some sites along the basin, showing the importance of using both approaches in a complementary way.

Author Contributions

All authors participated in the conceptualization of the project. M.C., F.R., M.J.A. and H.G. conducted filed work; M.C., A.V. conducted the laboratory work under the supervision of H.G. and M.J.A.; and data analysis was done by S.B., M.C., C.D.S., S.J. and H.G. with extensive support of F.P.-M.; S.B. wrote the first draft of the manuscript and all authors contributed to improve it. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Portuguese Foundation for Science and Technology (FCT) though the project PTDC/BIA-CBI/31644/2017.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All sequence data were deposit in public databases.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Batista, S.; Curto, M.; Veríssimo, A.; Ribeiro, F.; Alves, M.J.; Pina-Martins, F.; Santos, C.D.; Jentoft, S.; Gante, H. Evaluating Environmental DNA Efficiency in the Detection of Freshwater Species in a System with High Endemism. Biol. Life Sci. Forum 2022, 13, 116. https://doi.org/10.3390/blsf2022013116

AMA Style

Batista S, Curto M, Veríssimo A, Ribeiro F, Alves MJ, Pina-Martins F, Santos CD, Jentoft S, Gante H. Evaluating Environmental DNA Efficiency in the Detection of Freshwater Species in a System with High Endemism. Biology and Life Sciences Forum. 2022; 13(1):116. https://doi.org/10.3390/blsf2022013116

Chicago/Turabian Style

Batista, Sofia, Manuel Curto, Ana Veríssimo, Filipe Ribeiro, Maria Judite Alves, Francisco Pina-Martins, Carlos David Santos, Sissel Jentoft, and Hugo Gante. 2022. "Evaluating Environmental DNA Efficiency in the Detection of Freshwater Species in a System with High Endemism" Biology and Life Sciences Forum 13, no. 1: 116. https://doi.org/10.3390/blsf2022013116

APA Style

Batista, S., Curto, M., Veríssimo, A., Ribeiro, F., Alves, M. J., Pina-Martins, F., Santos, C. D., Jentoft, S., & Gante, H. (2022). Evaluating Environmental DNA Efficiency in the Detection of Freshwater Species in a System with High Endemism. Biology and Life Sciences Forum, 13(1), 116. https://doi.org/10.3390/blsf2022013116

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