Browsing by Autor "Stephen Cavers"

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Nuclear and plastid SNP markers for tracing Cedrela timber in the tropics
(Springer Science+Business Media, 2019) Kathelyn Paredes-Villanueva; Céline Blanc-Jolivet; Malte Mäder; Eurídice N. Honorio Coronado; Carmen Rosa GARCÍA-DÁVILA; Alexandre Magno Sebbenn; Barbara Rocha Venâncio Meyer-Sand; Henri Caron; Niklas Tysklind; Stephen Cavers
Timber tracking of Jacaranda copaia from Amazon Forest using DNA fingerprint
(2024) Alexandre Magno Sebbenn; Lorena Frigini Moro Capo; Бернд Деген; Céline Blanc-Jolivet; Malte Mäder; Stephen Cavers; Kathelyn Paredes-Villanueva; Eurídice Honorio-Conorado; Carmen Rosa GARCÍA-DÁVILA; Niklas Tysklind
Amazon tropical forest is actually subject to strong deforestation, generally originated from illegal logging, resulting in ecological, environmental and economic problems. Aiming stop deforestation and timber commercialization of illegal logging of tropical forest, new laws has been introduced in many countries. Here we investigated the utility of DNA fingerprinting of nuclear and cytoplasmatic SNPs to timber tracking the intensive logged and commercialized of the Amazonian Neotropical tree Jacaranda copaia. Samples of 832 individuals from 43 populations from Bolivia, Brazil, French Guiana, and Peru were used to investigate the power of 113 nuclear SNPs, 11 CpSNPs, and four MtSNP loci to determine the country and population origin. The genetic differentiation among all populations and contries was high (0.233&ndash;0.942), specialy for CpMtSNP (generally&gt;0.6) loci, and there is a strong isolation by distance pathern among populations, favoring the group or individual samples tracking to correct site. For self-assignment tests, we were able to 100% correct determine country and population origin of all samples using all SNPs. Our results show that the use of 128 SNP markers is suitable to correct determination of country and population site of J. copaia timber origin and very useful tool for customs and local and international policies.
Timber Tracking of Jacaranda copaia from the Amazon Forest Using DNA Fingerprinting
(Multidisciplinary Digital Publishing Institute, 2024) Lorena Frigini Moro Capo; Бернд Деген; Céline Blanc-Jolivet; Niklas Tysklind; Stephen Cavers; Malte Mäder; Barbara Rocha Venâncio Meyer-Sand; Kathelyn Paredes-Villanueva; Eurídice Nora Honorio Conorado; Carmen Rosa GARCÍA-DÁVILA
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.