Evidence map›Paper›PMID 40598117›Full record

ArticleBMC biology2025

Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network.

Andrew C Riley, Michael Wright, Teresita M Porter, V Carley Maitland, Donald J Baird, Mehrdad Hajibabaei

Abstract read
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Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrew C RileyCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada. ariley@uoguelph.ca.
Michael WrightCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.
Teresita M PorterCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.
V Carley MaitlandCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.
Donald J BairdUniversity of New Brunswick, Fredericton, New Brunswick, Canada.
Mehrdad HajibabaeiCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada. mhajibab@uoguelph.ca.

Funding

New Frontiers in Research Fund NFRFT-2020-00073
6 · The paper itself

Abstract

backgroundBiological data at different levels of organization is essential to support actions to mitigate the current biodiversity crisis. DNA metabarcoding is an established method to detect species/genus level taxa from bulk samples leading the way for a Biomonitoring 2.0 framework. Biomonitoring 2.0 Refined adds another dimension to Biomonitoring 2.0-high-throughput, scalable DNA metabarcoding with a higher resolution at the intraspecific level. Intraspecific diversity is key to understanding the distribution and movement of local populations for conservation efforts. Gaining reliable intraspecific information from metabarcoding data, however, is challenging due to qualitative/quantitative issues that can impact validity of the inference.

resultsSamples collected for the STREAM community-based monitoring project were used to perform an intraspecific genetic variation analysis on benthic arthropods. We targeted two non-overlapping cytochrome c oxidase subunit 1 mitochondrial DNA amplicons to assess the reproducibility of our results. Samples from the Rocky Mountains were grouped into four regions separated by mountain ranges. Significant separation (PERMANOVA, p value < 0.05) of Sørensen dissimilarity between regions was observed for community and intraspecific levels, fitting the expectation that mountains are barriers to dispersal. Two of the regions showed significant spatial structuring (Mantel test, p value < 0.05) at the intraspecific level, while all regions showed significant structuring at the community level. Results were consistent across both amplicons.

conclusionsWe show that DNA metabarcoding is applicable to intraspecific diversity analysis and it is robust to different amplicons. This paves the way for Biomonitoring 2.0 Refined, which can provide much needed fine-scale biodiversity data for ecological assessments and conservation.

Indexed as

ArthropodsBiological MonitoringDNA Barcoding, TaxonomicAnimalsBiodiversityDNA, MitochondrialGenetic VariationDNA, MitochondrialCitizen scienceConservationHaplotypesPhylogeographyPopulations

Identifiers

PMID40598117
PMCPMC12220750

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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.