Evidence map›Paper›PMID 40308902›Full record

ArticleApplications in plant sciences

Looking to the past to inform the future: What eDNA from herbarium specimens can tell us about plant-animal interactions.

Christopher Waters, Carla Hurt, Shawn Krosnick

Abstract read
In one paragraph

Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. The Evolution of Bees: Insights from 'Omic Studies.Genome biology and evolution · 2026
    Review
  3. Article
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

3 authors.

Christopher WatersSchool of Environmental Studies Tennessee Technological University 200 W. 10th Street, Box 5152 Cookeville 38505 Tennessee USA.ORCID 0009-0007-1309-9109
Carla HurtDepartment of Biology Tennessee Technological University 1100 North Dixie Avenue Cookeville 38505 Tennessee USA.ORCID 0000-0001-5850-033X
Shawn KrosnickDepartment of Biology Tennessee Technological University 1100 North Dixie Avenue Cookeville 38505 Tennessee USA.ORCID 0000-0002-8027-5295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: The importance of natural history collections in modern ecological and genetic research cannot be overstated. Herbarium specimens provide historical information that can be used to investigate community ecology, phenology, and population genetics. In this study, environmental DNA (eDNA) metabarcoding and next-generation sequencing were used to test the efficacy of detecting historical plant-animal interactions from herbarium specimen flowers. Methods: A modified eDNA isolation method and standard Illumina sequencing protocols were used. Animal eDNA was amplified using both cytochrome c oxidase subunit I (COI) and 16S primers to increase detection probability. The relationship between specimen age (0-69 years) and target taxa read depth was also investigated. Results: We generated and identified over 1.5 million sequences of animal taxa belonging to 29 clades (families or orders). These methods enabled the detection of taxa including birds, mammals, hymenopterans, lepidopterans, coleopterans, and taxa belonging to "intrafloral" communities. While herbarium specimens overall yielded less identifiable eDNA compared to fresh material, the age of the herbarium specimen negligibly affected the amount of target and/or non-target eDNA detected in flowers. Discussion: With careful consideration of the types of data that may be obtained through sampling eDNA from herbarium specimens, these methods could prove valuable to future research on plant-animal interactions.

Indexed as

conservationeDNAherbarium specimensmetabarcodingplant–animal interactions

Identifiers

PMID40308902
PMCPMC12038733

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Registered trials

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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.