Aquatic environmental DNA detects seasonal fish abundance and habitat preference in an urban estuary

PLoS One. 2017 Apr 12;12(4):e0175186. doi: 10.1371/journal.pone.0175186. eCollection 2017.

Abstract

The difficulty of censusing marine animal populations hampers effective ocean management. Analyzing water for DNA traces shed by organisms may aid assessment. Here we tested aquatic environmental DNA (eDNA) as an indicator of fish presence in the lower Hudson River estuary. A checklist of local marine fish and their relative abundance was prepared by compiling 12 traditional surveys conducted between 1988-2015. To improve eDNA identification success, 31 specimens representing 18 marine fish species were sequenced for two mitochondrial gene regions, boosting coverage of the 12S eDNA target sequence to 80% of local taxa. We collected 76 one-liter shoreline surface water samples at two contrasting estuary locations over six months beginning in January 2016. eDNA was amplified with vertebrate-specific 12S primers. Bioinformatic analysis of amplified DNA, using a reference library of GenBank and our newly generated 12S sequences, detected most (81%) locally abundant or common species and relatively few (23%) uncommon taxa, and corresponded to seasonal presence and habitat preference as determined by traditional surveys. Approximately 2% of fish reads were commonly consumed species that are rare or absent in local waters, consistent with wastewater input. Freshwater species were rarely detected despite Hudson River inflow. These results support further exploration and suggest eDNA will facilitate fine-scale geographic and temporal mapping of marine fish populations at relatively low cost.

MeSH terms

  • Animals
  • Biodiversity
  • DNA / genetics*
  • DNA / isolation & purification
  • Estuaries
  • Fishes / genetics*
  • New York City
  • Rivers
  • Seasons
  • Sequence Analysis, DNA

Substances

  • DNA

Grant support

This work was supported by The Rockefeller University-Monmouth University Marine Science Policy Initiative (MYS) and the National Institutes of Health Grant AI110029 (ZCP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.