文献类型：期刊文献

英文题名：DNA barcoding for identification of the endangered species Aquilaria sinensis: Comparison of data from heated or aged wood samples

作者：Jiao, Lichao[1] Yin, Yafang[1] Cheng, Yeming[2] Jiang, Xiaomei[1]

第一作者：焦立超

通信作者：Yin, Y.

机构：[1] Wood Anatomy and Utilization Department, Research Institute of Wood Industry, Chinese Academy of Forestry, No. 1 Dongxiaofu, Haidian District, Beijing 100091, China; [2] Geological Museum of China, Xisi, Xicheng District, Beijing 100034, China

年份：2014

卷号：68

期号：4

起止页码：487-494

外文期刊名：Holzforschung

收录：EI(收录号：20142017716543);Scopus(收录号：2-s2.0-84899819448)

语种：英文

外文关键词：Tissue - Conservation - DNA sequences - Histology - Wood products

摘要：Aquilaria sinensis (Lour.) Gilg is an evergreen tree and produces agarwood used for incense and as a uniquely precious medicine. It is in danger of disappearing due to illegal logging and its identification and protection is crucial. However, it is difficult or impossible to distinguish A. sinensis from other species of the genus Aquilaria Lam. and its closely related genus Gyrinops Gaertn. based on wood anatomical characteristics. Probably, DNA barcoding technology might provide an improvement in species identification. In this study, wood samples were tested, which were submitted to high-temperature drying and were stored for a long period in a xylarium. The factors should be identified that hinder the efficiency of wood DNA extraction from this species. The results indicate that the DNA from the wood tissues could be successfully amplified, apart from some DNA regions from the heartwood of the dried samples and the xylarium samples. The DNA sequences from the wood tissues mostly matched with the sequences of A. sinensis deposited in the GenBank. Moreover, analyses of phylogenetic trees based on trnL-trnF and ITS1 regions indicated that the wood tissues in the tests clustered together with the A. sinensis species from the GenBank, with bootstrap values of 74% and 94%, respectively. Consequently, it is feasible to identify A. sinensis wood on a species level based on the DNA barcoding technology. ? 2014 by Walter de Gruyter Berlin/Boston 2014.