Evidence map›Paper›PMID 40560994›Full record

ArticlePloS one2025

Contemporary eDNA methods complement conventional microscopy in zooplankton diet studies: Case study with American lobster postlarvae.

Alexander Ascher, Peter D Countway, Robin S Sleith, Curtis Morris, Caitlin Haley, David M Fields, Richard A Wahle

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Alexander AscherSchool of Marine Sciences, University of Maine, Orono, Maine, United States of America.ORCID 0000-0002-5481-3870
Peter D CountwayBigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.ORCID 0000-0002-8143-4454
Robin S SleithBigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.ORCID 0000-0001-9504-8741
Curtis MorrisSchool of Marine Sciences, University of Maine, Orono, Maine, United States of America.
Caitlin HaleySchool of Marine Sciences, University of Maine, Orono, Maine, United States of America.
David M FieldsBigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.
Richard A WahleSchool of Marine Sciences, University of Maine, Orono, Maine, United States of America.ORCID 0000-0002-9086-5862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diets of pelagic marine larvae are difficult to analyze due to their small size and even smaller prey. Furthermore, different methods may lead to alternative interpretations of trophic interactions. Conventionally, diet studies have relied primarily on visual identification of prey through dissection and microscopy. While microscopy has clear benefits, it can yield an incomplete assessment of diet since smaller and soft-bodied prey items are often difficult to identify. Here, we combined conventional microscopy and two contemporary environmental DNA (eDNA) methods: DNA metabarcode sequencing (metabarcoding) and real-time Polymerase Chain Reaction (rtPCR), comparing their advantages/disadvantages in a diet analysis of planktonic American lobster (Homarus americanus) postlarvae. This is the first application of these molecular techniques on the postlarval lobster diet. We also describe the testing and development of a novel blocking primer designed to inhibit the amplification of lobster DNA, enhancing prey amplification. This approach allowed finer-scale identification of a greater variety of prey than microscopy. The targeted rtPCR approach identified a specific prey taxon with high fidelity - but involves a priori decisions regarding the choice of target. Here, an rtPCR assay was developed to target Calanus finmarchicus, an abundant copepod species in the Gulf of Maine, suspected to be an important prey item of larval lobsters. Microscopy revealed broad prey categories and the importance of arthropod prey in the postlarval diet. Metabarcoding confirmed the importance of arthropod prey, while filling in the gaps with additional prey species. Finally, rtPCR was able to detect a significant level of predation on Calanus finmarchicus that neither of the other two approaches identified. The combination of methods provided a richer understanding of diet than any single method alone and future diet studies of a wide range of consumers would benefit from the application of a mixture of microscopy and molecular-based methodologies.

Indexed as

DietDNA, EnvironmentalMicroscopyNephropidaeZooplanktonAnimalsDNA Barcoding, TaxonomicFood ChainLarvaReal-Time Polymerase Chain ReactionDNA, Environmental

Identifiers

PMID40560994
PMCPMC12194154

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.