ArticleProceedings. Biological sciences2020
Environmental DNA metabarcoding reveals winners and losers of global change in coastal waters.
Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Microbial community dynamics over large spatial and environmental gradients in a subtropical ocean basin.Applied and environmental microbiology · 2026Article
- Environmental DNA (eDNA) Technology in Biodiversity and Ecosystem Health Research: Advances and Prospects.Ecology and evolution · 2026Review
- Observation Bias in Metabarcoding.Molecular ecology resources · 2025Article
- North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA.Communications biology · 2024Article
- Genomics for monitoring and understanding species responses to global climate change.Nature reviews. Genetics · 2024Review
- Invasive European green crab (Carcinus maenas) predation in a Washington State estuary revealed with DNA metabarcoding.PloS one · 2024Article
- Phylogenetic diversity and functional potential of the microbial communities along the Bay of Bengal coast.Scientific reports · 2023Article
- High taxonomic diversity and miniaturization in benthic communities under persistent natural COProceedings. Biological sciences · 2023Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies of the ecological effects of global change often focus on one or a few species at a time. Consequently, we know relatively little about the changes underway at real-world scales of biological communities, which typically have hundreds or thousands of interacting species. Here, we use COI mtDNA amplicons from monthly samples of environmental DNA to survey 221 planktonic taxa along a gradient of temperature, salinity, dissolved oxygen and carbonate chemistry in nearshore marine habitat. The result is a high-resolution picture of changes in ecological communities using a technique replicable across a wide variety of ecosystems. We estimate community-level differences associated with time, space and environmental variables, and use these results to forecast near-term community changes due to warming and ocean acidification. We find distinct communities in warmer and more acidified conditions, with overall reduced richness in diatom assemblages and increased richness in dinoflagellates. Individual taxa finding more suitable habitat in near-future waters are more taxonomically varied and include the ubiquitous coccolithophore
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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.