Evidence map›Paper›PMID 37079642›Full record

ArticlePloS one2023

Genetic characterization of a group of commercial African timber species: From genomics to barcoding.

Maurizio Mascarello, Olivier Lachenaud, Mario Amalfi, Erik Smets, Olivier J Hardy, Hans Beeckman, Steven B Janssens

Abstract read
In one paragraph

Article in PloS one, 2023. 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

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

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

7 authors.

Maurizio MascarelloMeise Botanic Garden, Meise, Belgium.ORCID 0000-0003-0325-2345
Olivier LachenaudMeise Botanic Garden, Meise, Belgium.
Mario AmalfiMeise Botanic Garden, Meise, Belgium.ORCID 0000-0002-1792-7828
Erik SmetsDepartment of Biology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-9416-983X
Olivier J HardyEvolutionary Biology and Ecology, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Hans BeeckmanWood Biology, Department of Biology, Royal Museum for Central Africa, Tervuren, Belgium.
Steven B JanssensMeise Botanic Garden, Meise, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decades, illegal logging has posed a serious threat for the integrity of forest ecosystems and for biodiversity conservation in tropical Africa. Although international treaties and regulatory plans have been implemented to reduce illegal logging, much of the total timber volume is harvested and traded illegally from tropical African forest regions. As a result, the development and the application of analytical tools to enhance the traceability and the identification of wood and related products is critical to enforce international regulations. Among available techniques, DNA barcoding is a promising approach for the molecular identification of plant species. However, although it has been used successfully for the discrimination of animal species, no set of genetic markers is available for the universal identification of plant species. In this work, we firstly characterized the genetic diversity of 17 highly-valuable African timber species from five genera (Afzelia, Guibourtia, Leplea, Milicia, Tieghemella) across their distribution ranges in West and Central Africa using the genome skimming approach in order to reconstruct their chloroplast genomes and nuclear ribosomal DNA. Next, we identified single-nucleotide polymorphisms (SNPs) for the discrimination of closely-related species. In this way, we successfully developed and tested novel species-specific genetic barcodes for species identification.

Indexed as

DNA Barcoding, TaxonomicFabaceaeAfrica, CentralAnimalsEcosystemForestsGenomics

Identifiers

PMID37079642
PMCPMC10118144

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.