Evidence map›Paper›PMID 39912533›Full record

ArticleMolecular ecology2025

Delimiting Species-Prospects and Challenges for DNA Barcoding.

Brent C Emerson

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. UITOTO: a software for generating molecular diagnoses for species descriptions.Cladistics : the international journal of the Willi Hennig Society · 2026
    Article
  4. Article
  5. Article
  6. 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

1 author.

Brent C EmersonIsland Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), Santa Cruz de Tenerife, Spain.ORCID 0000-0003-4067-9858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering, describing and cataloguing global species diversity remains a fundamental challenge both for biodiversity research and for the management and conservation of biodiversity. Among animals, the challenge is particularly acute within the arthropods, which comprise approximately 85% of all described animals, with approximately 1 million described species. The true number of arthropod species is estimated to be in excess of 10 million species. This estimate is likely to be revised upward in the light of global DNA barcode sequencing initiatives that are cataloguing unprecedented levels of cryptic or overlooked diversity. The scale of diversity that is being recovered with barcode sequencing places further strain on a taxonomic system confronted by ever-limited global taxonomic capacity to verify and describe new species. It is predicted that the number of novel operational taxonomic units delimited by barcode sequencing is likely to eclipse the number of species described by Linnean taxonomy by as early as 2029. Unless addressed, this may see an increasing proportion of arthropod species falling outside of protective legislative frameworks as a consequence of their lack of formal description. Confronted with this challenge, there is increasing, but controversial, acceptance of species delimitation and species description based on barcode sequence clustering thresholds. In response to the evolving controversy surrounding this issue, it is both timely and important to identify and clarify prospects and challenges for DNA barcoding, with a specific focus on species delimitation to address important shortfalls and impediments in biodiversity research.

Indexed as

ArthropodsBiodiversityDNA Barcoding, TaxonomicAnimalsPhylogenySequence Analysis, DNAarthropodDNA Barcodinginsecttaxonomy

Identifiers

PMID39912533
PMCPMC11842946

What OpenQuestion holds

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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.