10.5061/DRYAD.B5MKKWHF1
Hu, Jian-Lin
0000-0001-6480-8197
Xishuangbanna Tropical Botanical Garden
Ci, Xiu-Qin
Xishuangbanna Tropical Botanical Garden
Liu, Zhi-Fang
Shandong University
Dormontt, Eleanor E.
University of Adelaide
Conran, John G.
University of Adelaide
Li, Jie
Xishuangbanna Tropical Botanical Garden
Lowe, Andrew J.
University of Adelaide
Assessing candidate DNA barcodes for Chinese and internationally traded
timber species
Dryad
dataset
2021
FOS: Biological sciences
135 program of the Chinese Academy of Sciences*
2017XTBG-T03
National Natural Science Foundation of China
https://ror.org/01h0zpd94
31770569
Science and Technology Basic Resources Investigation Program of China:
Survey and Germplasm Conservation of Plant Species with Extremely Small
Populations in South‐west China*
2017FY100100
Biodiversity Conservation Program of Chinese Academy of Sciences*
ZSSD‐013
2021-11-18T00:00:00Z
2021-11-18T00:00:00Z
en
2486727 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Accurate identification of species from timber is an essential step to
help control illegal logging and forest loss. However, current approaches
to timber identification based on morphological and anatomical
characteristics have limited species resolution. DNA barcoding is a proven
tool for plant species identification, but there is a need to build
reliable reference data across broad taxonomic and spatial scales. Here,
we construct a species barcoding library consisting of 1,550 taxonomically
diverse timber species from 656 genera and 124 families, representing a
comprehensive genetic reference data set for Chinese timber species and
international commercial traded timber species, using four barcodes (rbcL,
matK, trnH–psbA, and ITS2). The ITS2 fragment was found to be the most
efficient locus for Chinese timber species identification among the four
barcodes tested, both at the species and genus level, despite its low
recovery rate. Nevertheless, the barcode combination matK+trnH–psbA+ITS2
was required as a complementary barcode to distinguish closely related
species in complex datasets involving internationally traded timber
species. Comparative analyses of family-level discrimination and
species/genus ratios indicated that the inclusion of closely related
species is an important factor affecting the resolution ability of
barcodes for timber species verification. Our study indicates that
although nuclear ITS2 is the most efficient single barcode for timber
species authentication in China, complementary combinations like
matK+trnH–psbA+ITS2 are required to provide broader discrimination power.
These newly-generated sequences enrich the existing publicly available
databases, especially for tropical and subtropical evergreen timber trees
and this current timber species barcode reference library can serve as an
important genetic resource for forestry monitoring, illegal logging
prosecution and biodiversity projects.