文献类型：期刊文献

英文题名：Wood discrimination of six commonly traded Phoebe and Machilus species using high-resolution plastid and nuclear DNA barcodes

作者：Lu, Yang[1,2,3,4] Jiao, Lichao[1,2,3,4] Liu, Shoujia[1,2,3,4] He, Tuo[1,2,3,4] Jiang, Xiaomei[1,2,3,4] Yin, Yafang[1,2,3,4]

第一作者：卢芸;Lu, Yang

通信作者：Jiao, LC[1];Jiao, LC[2];Jiao, LC[3]

机构：[1]Chinese Acad Forestry, Wood Anat & Utilizat Dept, Res Inst Wood Ind, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Wood Collect, Beijing 100091, Peoples R China;[3]Natl Forestry & Grassland Adm, Wood Specimen Resource Ctr, Beijing 100091, Peoples R China;[4]CITES Wildlife Forens Testing Lab, Beijing 100091, Peoples R China

年份：2024

卷号：78

期号：10

起止页码：547-561

外文期刊名：HOLZFORSCHUNG

收录：;EI(收录号：20243616998481);Scopus(收录号：2-s2.0-85202917779);WOS:【SCI-EXPANDED(收录号:WOS:001303140800001)】；

基金：This study was supported by the Fundamental Research Funds of the Chinese Academy of Forestry (grant no. CAFYBB2021QB003), and a scholarship from the China Scholarship Council (grant no. 202103270011).

语种：英文

外文关键词：high-resolution region; Machilus; nuclear barcode; Phoebe; wood anatomy

摘要：Phoebe and Machilus trees, whose wood is known as Nanmu in China, face endangerment owing to long-term manmade destruction and climate change. Therefore, effective and accurate forensic tools to identify Nanmu species are required. This study developed a method for DNA identification of woods from six commonly traded Phoebe and Machilus species. DNA was efficiently extracted from oil cell-rich wood tissues, DNA barcodes were screened, species were compared, and a Nanmu DNA database was constructed. Comparison and analysis involved 26 sets of plastid genomes of Phoebe and Machilus. The five highest variable regions (Pi>0.009; psbA-trnH, psbJ, psbJ-petA, rpl32-trnL, and ycf1) were identified, and three nuclear regions (ITS, LEAFY, and RPB2) were compared. Among single DNA fragments, the nuclear DNA region LEAFY proved optimal for identifying Nanmu species, while psbA-trnH+psbJ+ycf1 was the optimal plastid combination locus. Compared with distance-based (TaxonDNA) and machine-learning analyses, the tree-based method had a lower success rate for species identification. Four labelled Nanmu samples were selected to validate the method and clustered with P. zhennan and P. sheareri data based on the LEAFY region and plastid combination locus. These findings will contribute to the conservation, classification, architecture maintenance, and trade monitoring of Nanmu natural resources.