Use of DNA fingerprints to control the origin of sapelli timber (Entandrophragma cylindricum) at the forest concession level in Cameroon
Autor: | Céline Jolivet, Bernd Degen |
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Rok vydání: | 2012 |
Předmět: |
Conservation of Natural Resources
Genotype biology Agroforestry Genetic Variation Sample (statistics) biology.organism_classification DNA Fingerprinting Polymerase Chain Reaction Trees Pathology and Forensic Medicine Genetic differentiation Geography DNA profiling Entandrophragma Blind Sample Genetics Humans Microsatellite Cameroon Crime Meliaceae Illegal logging Microsatellite Repeats |
Zdroj: | Forensic Science International: Genetics. 6:487-493 |
ISSN: | 1872-4973 |
DOI: | 10.1016/j.fsigen.2011.11.002 |
Popis: | Illegal logging and associated trade are the cause of many economic and ecological problems both in producer and in consumer countries. There are an increasing number of national and international regulations in place that call for efficient timber tracking systems. We present results of a pilot study of a DNA-based method to control the geographical origin of timber in forest concessions in Cameroon. We addressed genetic differentiation at five nuclear microsatellite loci in seven sapelli (Entandrophragma cylindricum, Meliaceae) populations located in three forest concessions in Eastern Cameroon. In the framework of a blind test, seven anonymous timber sample sets were analysed at three microsatellite loci and compared to the genetic reference data of the forest concessions in Cameroon. Our results show that genetic differentiation was low within and among concessions. Combining the results of Bayesian genetic assignment method and exclusion test, we could determine that the timber stemmed or did not stem from the focus forest concession in six out of the seven blind sample sets. We further discuss the accuracy of the presented method and draw conclusions for a better sampling and genotyping strategy. Our work provides clear evidence that the use of genetic fingerprints is a useful tool to fight against illegal logging. |
Databáze: | OpenAIRE |
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