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Abstract
Ichthyological surveys have traditionally been conducted using whole-specimen, capture-based sampling with varied but conventional fishing gear. Recently, environmental DNA (eDNA) metabarcoding has emerged as a complementary, and possible alternative, approach to whole-specimen methodologies. In the tropics, where much of the diversity remains undescribed, vast reaches continue unexplored, and anthropogenic activities are constant threats; there have been few eDNA attempts for ichthyological inventories. We tested the discriminatory power of eDNA using MiFish primers with existing public reference libraries and compared this with capture-based methods in two distinct ecosystems in the megadiverse Amazon basin. In our study, eDNA provided an accurate snapshot of the fishes at higher taxonomic levels and corroborated its effectiveness to detect specialized fish assemblages. Some flaws in fish metabarcoding studies are routine issues addressed in natural history museums. Thus, by expanding their archives and adopting a series of initiatives linking collection-based research, training and outreach, natural history museums can enable the effective use of eDNA to survey Earth’s hotspots of biodiversity before taxa go extinct. Our project surveying poorly explored rivers and using DNA vouchered archives to build metabarcoding libraries for Neotropical fishes can serve as a model of this protocol.
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Details
1 Smithsonian Institution, Division of Fishes, Department of Vertebrate Zoology, MRC 159, National Museum of Natural History, Washington, USA (GRID:grid.1214.6) (ISNI:0000 0000 8716 3312)
2 Cornell University, Cornell University Museum of Vertebrates, Department of Ecology and Evolutionary Biology, Ithaca, USA (GRID:grid.5386.8) (ISNI:000000041936877X)
3 Smithsonian Institution, Global Genome Initiative, National Museum of Natural History, Washington, USA (GRID:grid.1214.6) (ISNI:0000 0000 8716 3312)
4 Instituto Nacional de Pesquisas da Amazônia, Programa de Pós‐Graduação em Ciências Biológicas (BADPI), Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
5 Instituto Nacional de Pesquisas da Amazônia, Coordenação de Biodiversidade, Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
6 Universidade Federal de São Paulo, Instituto do Mar, Santos, Brazil (GRID:grid.411249.b) (ISNI:0000 0001 0514 7202)
7 Department of Herpetology and Ichthyology, Museum of Natural History, Geneva 6, Switzerland (GRID:grid.411249.b)
8 Museu de Zoologia da Universidade de São Paulo (MZUSP), São Paulo, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)
9 Natural History Museum and Institute, Chuo-ku, Chiba, Japan (GRID:grid.471892.1)