DNA 'barcode' for tropical trees

Creating a large-scale inventory of plant biodiversity is essential for the development of conservation strategies. Within the framework of the Convention on Biological Diversity, the use of DNA barcoding was proposed for the identification of plant and animal species. This method consists of using tissue to sequence short DNA fragments which contain a substantial amount of information. These fragments are then compared to a reference collection to identify their origin. In August 2009, after several years of debate, an international consensus headed by the Plant Working Group of the Consortium for the Barcode of Life (CBoL) was reached, according to which two DNA markers (two gene regions dubbed rbcL and matK) would suffice to characterize 250,000 plant species.

The team from the Toulouse Evolution et diversité biologique laboratory, in collaboration with Guyanese partners, conducted the first test of this DNA barcoding method in a tropical forest environment. A total of eight candidate barcodes were tested on over 200 tree species sampled at the CNRS Nouragues research station in French Guiana. More than 2,000 DNA sequences were thus generated for this project. The study yielded significant progress in species discrimination. However, identification success did not exceed 70% and one of the two markers proposed by CBoL proved very difficult to sequence.

At the crossroads between basic research and applied research, this work suggests that despite being an invaluable tool for identifying plant species, the international DNA barcoding method poses problems for exclusively tropical plant families. Solving them would, among other things, enable researchers to itemize and track the biodiversity of Amazonian plants much more efficiently.

More information: "Identification of Amazonian trees with DNA barcodes". M-A Gonzalez, C Baraloto, J Engel, SA Mori, P Pétronelli, B Riéra, A Roger, C Thébaud, J Chave. (Published October 16, 2009). PloS ONE 4(10): e7483. doi:10.1371/journal.pone.0007483

Provided by CNRS