Evidence map›Paper›PMID 42343934›Full record

ArticleApplications in plant sciences

Leveraging target enrichment and genome skimming (Hyb-Seq) of herbarium collections to unlock timber DNA barcoding.

Sidonie Bellot, Dyana Ndiade Bourobou, Camila Quintero-Berns, Laszlo Csiba, Peter Gasson, Barrett McBride, Bhely Angoboy Ilondea, Gaël U D Bouka, Emmanuel Ebanyenle, Cynel Gwenael Moundounga and 5 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

15 authors.

Sidonie BellotRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.ORCID https://orcid.org/0000-0001-6355-237X
Dyana Ndiade BourobouInstitut des Recherches Agronomiques et Forestières Centre National de la Recherche Scientifique et Technologique (IRAF-CENAREST) BP 2246, Campus de Gros-Bouquet Libreville Gabon.
Camila Quintero-BernsRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.
Laszlo CsibaRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.
Peter GassonRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.
Barrett McBrideRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.
Bhely Angoboy IlondeaInstitut National pour l'Etude et la Recherche Agronomiques 13 Avenue des Cliniques BP 2037 Kinshasa/Gombe Democratic Republic of the Congo.
Gaël U D BoukaBiodiversity Laboratory, Ecosystems and Environment Management, Faculties of Science and Technology Marien Ngouabi University BP 69 Brazzaville Republic of Congo.
Emmanuel EbanyenleCSIR-Forestry Research Institute of Ghana UPO 63 Kumasi Ghana.
Cynel Gwenael MoundoungaInstitut des Recherches en Ecologie Tropicale Centre National de la Recherche Scientifique et Technologique (IRET-CENAREST) Libreville Gabon.
Martin RickerDepartamento de Botánica, Instituto de Biología Universidad Nacional Autónoma de México (UNAM) Ciudad de México Mexico.
Philomena YarwoahNational Herbarium of Liberia Forestry Training Institute Tubmanburg Liberia.
Guy Herman Zanguim TchoutezouDepartment of Geography, Environment and Geomatics University of Ottawa 75 Laurier Ave. E Ottawa K1N 6N5 Ontario Canada.
Janvier LisingoLaboratoire d'écologie et aménagement forestier, Faculté des sciences, University of Kisangani Democratic Republic of the Congo.
Victor DeklerckRoyal Botanic Gardens Kew, Richmond TW9 3AE United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: DNA barcoding for timber species identification requires comprehensive reference datasets, informative DNA barcodes, and cost-effective protocols. We developed a workflow leveraging Hyb-Seq (target capture sequencing and genome skimming) to address these challenges, and we tested it on four genera from the mahogany family (Meliaceae). Methods: We sequenced up to 350 nuclear and 177 plastid loci from 132 herbarium specimens representing leaf samples of 22 species. We determined the DNA barcoding potential of each locus by looking at species recovery and monophyly in gene trees. We then selected 13 short regions (candidate barcodes) within high-potential loci and tested their PCR amplification and Sanger sequencing on wood DNA. Results: Three candidate barcodes emerged as the most reliably sequenced from wood DNA and as providing the most accurate species-level identifications, with species monophyly rates above 80%. Failure to obtain sequences from some wood DNA extracts was more often associated with potential DNA impurity (as inferred from DNA color) than with DNA degradation. Discussion: Our reference data and candidate barcodes provide a foundation to support the DNA barcoding of mahogany and its relatives. Our workflow illustrates how the wealth of Hyb-Seq data currently generated from global herbaria may be leveraged to monitor plant diversity.

Indexed as

Angiosperms353EntandrophragmaITSKhayaLovoaSwieteniatrnL‐trnFwood DNA extraction

Identifiers

PMID42343934
PMCPMC13287967

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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.