Timber Tracking of Jacaranda copaia from the Amazon Forest Using DNA Fingerprinting

Author:

Capo Lorena Frigini Moro1,Degen Bernd2ORCID,Blanc-Jolivet Celine2,Tysklind Niklas3ORCID,Cavers Stephen4ORCID,Mader Malte2,Meyer-Sand Barbara Rocha Venancio1ORCID,Paredes-Villanueva Kathelyn5ORCID,Honorio Conorado Eurídice Nora6ORCID,García-Dávila Carmen Rosa7,Troispoux Valérie3,Delcamp Adline8,Sebbenn Alexandre Magno19ORCID

Affiliation:

1. Departament of Phytotechnics, Faculty of Engineering of Ilha Solteira, São Paulo State University, Ilha Solteira 15385-000, SP, Brazil

2. Thünen Institute of Forest Genetics, Sieker Landstrasse 2, 22927 Grosshansdorf, Germany

3. National Research Institute for Agriculture, Food, and the Environment (INRAE), UMR0745 EcoFoG, AgroParisTech, French Agricultural Research Centre for International Development (Cirad), National Centre for Scientific Research (CNRS), University of the Antilles, University of French Guiana, Agronomic Campus, Avenue de France, BP97387 Kourou Cedex, France

4. UK Centre for Ecology & Hydrology Edinburgh, Penicuik EH26 0QB, UK

5. Forestry Engineering, Dendrochronology Laboratory, Faculty of Agricultural Sciences, Gabriel René Moreno Autonomous University, El Vallecito, Santa Cruz, Bolivia

6. Royal Botanic Gardens, Kew, Richmond, London TW9 3AE, UK

7. Peruvian Amazon Research Institute (IIAP), Av. José A. Quiñones km 2.5, Iquitos 00784, Peru

8. Plateforme Génome Transcriptome de Bordeaux, INRA Site de Pierroton Bâtiment Artiga, 69 Route d’Arcachon, 33610 Cestas, France

9. Forestry Institute of São Paulo, CP 1322, São Paulo 01059-970, SP, Brazil

Abstract

We investigated the utility of nuclear and cytoplasmic single nucleotide polymorphism (SNP) markers for timber tracking of the intensively logged and commercialized Amazonian tree Jacaranda copaia. Eight hundred and thirty-two trees were sampled (cambium or leaves) from 38 sampling sites in Bolivia, Brazil, French Guiana, and Peru. A total of 128 SNP markers (113 nuclear, 11 chloroplastic, and 4 mitochondrial) were used for genotyping the samples. Bayesian cluster analyses were carried out to group individuals into homogeneous genetic groups for tests to self-assign groups of individuals or individuals to their population of origin. Cluster analysis based on all the SNP markers detected seven main genetic groups. Genetic differentiation was high among populations (0.484) and among genetic groups (0.415), and populations showed a strong isolation-by-distance pattern. Self-assignment testing of the groups of individuals for all loci was able to determine the population origin of all the samples (accuracy = 100%). Self-assignment tests of individuals were able to assign the origin of 94.5%–100% of individuals (accuracy: 91.7%–100%). Our results show that the use of the 128 SNP markers is suitable to correctly determine the origin of J. copaia timber, and they should be considered a useful tool for customs and local and international police.

Funder

German Federal Ministry of Food and Agriculture

Conseil Regional d’Aquitaine

European Union

Investissements d’avenir

CEBA

Publisher

MDPI AG

Reference50 articles.

1. Verifying the geographic origin of mahogany (Swietenia macrophylla King) with DNA-fingerprints;Degen;Forensic Sci. Int. Genet.,2013

2. Tracking the geographical origin of timber by DNA fingerprinting: A study of the endangered species Cinnamomum kanehirae in Taiwan;Hung;Holzforschung,2017

3. CITES (2023, June 01). Comércio Internacional das Espécies da Flora e Fauna Selvagens em Perigo de Extinção. Available online: https://cites.org/esp/app/appendices.php.

4. Lescuyer, G., Ndotit, S., Ndong, L.B.B., Tsanga, R., and Cerutti, P.O. (2014). Policy Options for Improved Integration of Domestic Timber Markets under the Voluntary Partnership Agreement (VPA) Regime in Gabon, Center for International Forestry Research (CIFOR).

5. Federal Police Brazil (2022, May 17). GOV, Available online: https://www.gov.br/pf/pt-br/search?SearchableText=madeira%20ilegal%20extra%C3%ADda%20da%20Amaz%C3%B4nia.

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