Evidence map›Paper›PMID 40075285›Full record

ArticleBMC plant biology2025

Unlocking the geography of Azobé timber (Lophira alata): revealing spatial genetic structure beyond species boundaries.

Barbara Rocha Venancio Meyer-Sand, Laura E Boeschoten, Gaël U D Bouka, Jannici C U Ciliane-Madikou, G Arjen de Groot, Nathalie de Vries, Nestor L Engone Obiang, Danny Esselink, Mesly Guieshon-Engongoro, Olivier J Hardy and 13 more

Abstract read
In one paragraph

Article in BMC plant biology, 2025. 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

23 authors.

Barbara Rocha Venancio Meyer-SandForest Ecology and Forest Management, Wageningen University and Research, Wageningen, The Netherlands. barbara.rvms@gmail.com.ORCID http://orcid.org/0000-0003-1291-8145
Laura E BoeschotenForest Ecology and Forest Management, Wageningen University and Research, Wageningen, The Netherlands.
Gaël U D BoukaLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Jannici C U Ciliane-MadikouLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
G Arjen de GrootWageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands.
Nathalie de VriesPlant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
Nestor L Engone ObiangInstitute for Research in Tropical Ecology (IPHAMETRA IRET/ CENAREST), Herbier National du Gabon, Institut de Pharmacopée et de Médecine Traditionelle, Libreville, Gabon.
Danny EsselinkPlant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
Mesly Guieshon-EngongoroLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Olivier J HardyEvolutionary Biology and Ecology Unit, CP 160/12, Faculté des Sciences, Université Libre de Bruxelles, Brussels, Belgium.
Simon JansenDepartment of Ecosystem Management, Climate and Biodiversity - Institute of Silviculture, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.
Joël J LoumetoLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Dieu-Merci M F MbikaLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Cynel G MoundoungaInstitute for Research in Tropical Ecology (IRET/CENAREST), Libreville, Gabon.
Dyana Ndiade-BourobouInstitute for Agronomic and Forestry Researches (IRAF/CENAREST), Libreville, Gabon.
Rita M D NdanganiLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Marinus J M SmuldersPlant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
Steve N TassiambaLaboratory of Environmental Geomatics, Department of Forestry, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon.
Martin T TchambaLaboratory of Environmental Geomatics, Department of Forestry, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon.
Bijoux B L Toumba-PakaLaboratory of Biodiversity and Ecosystems and Environmental Management, Faculty of Science and Technology, Marien Ngouabi University, Brazzaville, Congo.
Herman T ZanguimLaboratory of Environmental Geomatics, Department of Forestry, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon.
Pascaline T ZemtsaLaboratory of Environmental Geomatics, Department of Forestry, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon.
Pieter A ZuidemaForest Ecology and Forest Management, Wageningen University and Research, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe illegal trade of tropical timber constitutes a major and persistent environmental problem. Since the detection of fraud in trade documents remains challenging, forensic tools that can independently trace timber origin are needed. In this study, we evaluated the potential of the chloroplast genome (plastome) as a genetic tool to verify the claimed species and geographic origin of timber from Azobé (Lophira alata), an intensively exploited and threatened tropical tree species.

resultsWe sampled 480 trees from Lophira alata and the congeneric species L. lanceolata across nine countries in Central and West Africa. Sampling included L. alata trees from 15 logging concessions in Cameroon, Gabon and the Republic of the Congo. DNA was isolated from the cambium or leaf tissue, and complete plastid genomes were assembled. A total of 228 SNPs from 436 trees were retained, which formed 35 pDNA haplotypes (with a length of 179 SNPs). The two Lophira species shared one plastid haplotype and contained several closely related plastid haplotypes. For the exploited L. alata, we detected a moderately strong correlation between genetic and spatial distances. Two haplotypes were widely spread across the core of Central Africa, while several others were more spatially constrained or endemic, for example, in West Gabon (potentially a L. alata cryptic species) and Northern Congo.

conclusionsThe distribution of haplotypes revealed a clear spatial structure. Some widely spread haplotypes potentially hamper site distinction of Azobé wood samples, but still reveal their wider region of origin. In regions where endemic haplotypes are present, differentiation may be successful at finer scales. Thus, the potential spatial resolution for timber tracing may vary across regions. We assembled the first reference database of plastome-wide SNP datasets for Azobé timber, with a focus on the major logging areas. Our work represents a step towards plastome-based timber tracing for this species, but also reveals limited potential of this method for species differentiation. To validate the potential of the plastid genome for timber tracing, further steps, including assignment and blind sample tests, will be needed.

Indexed as

Genome, ChloroplastTreesAfrica, WesternHaplotypesPhylogeographyPolymorphism, Single NucleotideAzobéChloroplast genomeLophiraOrigin differentiation.Plastid genomeSNPsSpatial genetic structure

Identifiers

PMID40075285
PMCPMC11899005

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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.