Skip to main content

Research Repository

Advanced Search

Amazonian ichthyoplankton assessment via DNA metabarcoding: A baseline for detecting spawning sites of migratory fishes

Silva, Lara E.; Domingues, Rodrigo R.; Sales, Naiara G.; Villela, Priscila M.S.; Silva, Camila Barbosa; Hilsdorf, Alexandre W.S.

Authors

Lara E. Silva

Rodrigo R. Domingues

Priscila M.S. Villela

Camila Barbosa Silva

Alexandre W.S. Hilsdorf



Abstract

The Neotropical fish fauna comprises approximately 6080 species, of which almost 3000 inhabit the Amazon River basin. However, the construction of hydroelectric dams has threatened this biodiversity by habitat fragmentation. To uncover the putative effect of river impoundment on migratory fish species, over 5400 eggs and larvae were collected from the Teles Pires River, including five tributaries and the hydroelectric reservoir, which were identified using the COI metabarcoding approach. Identification of early life stages allowed the detection of >40 fish species, including at least 27 migratory species. Fish eggs were assigned to nine families, 13 genera, and 23 species, whereas larvae were attributed to 12 families, 18 genera, and 34 species. Eggs and larvae of migratory fishes were primarily present in tributaries upstream of the dam, with fewer in the reservoir. A putative impact of the dam on the ichthyoplankton community was detected, with a significant difference found between the reservoir and tributaries for larval species richness (r = 0.822, p = 0.0211). In contrast, no significant difference was recovered among tributaries for both eggs (r = 0.213, p = 0.2657) and larvae (r = 0.378, p = 0.0696). However, a change in ichthyoplankton assemblage was observed between tributaries, as revealed by beta diversity analyses. These results highlight the potential of ichthyoplankton metabarcoding for studying and biomonitoring of migratory fishes, as well as providing relevant data concerning the identification of spawning sites to set guidelines for fisheries management and effective conservation of fish populations.

Citation

Silva, L. E., Domingues, R. R., Sales, N. G., Villela, P. M., Silva, C. B., & Hilsdorf, A. W. (2023). Amazonian ichthyoplankton assessment via DNA metabarcoding: A baseline for detecting spawning sites of migratory fishes. Biological Conservation, 284, 110180. https://doi.org/10.1016/j.biocon.2023.110180

Journal Article Type Article
Acceptance Date Jul 2, 2023
Online Publication Date Jul 5, 2023
Publication Date 2023-08
Deposit Date Aug 1, 2023
Publicly Available Date Jul 6, 2025
Journal Biological Conservation
Print ISSN 0006-3207
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 284
Pages 110180
DOI https://doi.org/10.1016/j.biocon.2023.110180
Keywords Nature and Landscape Conservation; Ecology, Evolution, Behavior and Systematics