Abstract

Tropical forests represent vast carbon stocks and continue to be key carbon sinks and buffer climate changes. The international policy constructed several mechanisms aiming at conservation and sustainable use of these forests. Illegal logging is an important threat of forests, especially in the tropics. Several laws and regulations have been set up to combat illegal timber trade. Despite significant enforcement efforts of these regulations, illegal logging continues to be a serious problem and impacts for the functioning of the forest ecosystem and global biodiversity in the tropics. Microscopic analysis of wood samples and the use of conventional plant DNA barcodes often do not allow to distinguish closely-related species. The use of novel molecular technologies could make an important contribution for the identification of tree species. In this study, we used high-throughput sequencing technologies and bioinformatics tools to obtain the complete de-novo chloroplast genome of 62 commercial African timber species using the genome skimming method. Then, we performed a comparative genomic analysis that revealed new candidate genetic regions for the discrimination of closely-related species. We concluded that genome skimming is a promising method for the development of plant genetic markers to combat illegal logging activities supporting CITES, FLEGT and the EU Timber Regulation.

Highlights

  • Strong regulations and international treaties were established to control forest logging in tropical regions [1]

  • These include the main commercial timber species in Central and West tropical Africa which are exploited for their highly valuable timber, and which are reported in treaties/agreements for the conservation of the global biodiversity, such as the CITES and the International Union for Conservation of Nature (IUCN; https://www. iucnredlist.org/)

  • Plastomes of all species analyzed in this study consist of a circular sequence that is partitioned in four main structures typical for land plant chloroplasts: the large (LSC) and small (SSC) single copy regions, separated by two inverted repeats (IRa and IRb) (Fig 1)

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Summary

Introduction

Strong regulations and international treaties were established to control forest logging in tropical regions [1]. It is estimated that up to 90% of the annual timber volume is obtained through illegal logging activities in tropical countries such as the Democratic Republic of the Congo [2, 3]. The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES; www.cites.org) lists approximately 350 tree species. Novel plastid markers for the molecular identification of illegally logged African timber species files. All relevant Genbank accession numbers are within the Supporting Information files

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