[Identification of plant species based on DNA barcode technology].
Ying Yong Sheng Tai Xue Bao
; 23(5): 1240-6, 2012 May.
Article
in Zh
| MEDLINE
| ID: mdl-22919833
ABSTRACT
It is crucial for the studies of taxonomy and biodiversity by using DNA barcode technology to fast and accurately make species identification in the forests across tropics and temperate zones. In this study, the 183 plant species in a 20 hm2 subtropical forest plot in Dinghushan (DHS) National Nature Reserve of South China were sampled and sequenced, and the matK, rbcL, and psbA-trnH were employed to generate multi-locus barcodes. For the plot, the psbA-trnH possessed the highest integral success rate, i. e., the product of sequencing recovery and correct species identification (75%), followed by matK (70%), and rbcL (56%). A combination of three-locus barcode (matK, rbcL and psbA-trnH) could identify greater than 87% of the total species, followed by two-locus barcode (85% for matK+psbA-trnH, 83% for rbcL+psbA-trnH, and 81% for matK+rbcL). A comparison was made with the previously published results from one subtropical forest plot (LFDP in Puerto Rico, 143 species) and two tropical forest plots (BCI in Panama, 296 species; and NRS in French Guiana, 254 species) to evaluate the universality and species identification correctness of the proposed DNA barcodes for these four forest plots. For the plots in tropics and subtropics, the sequencing success rate of rbcL, psbA-trnH and matK were 93% and 95.1%, 91.5% and 94.6%, and 68.5% and 79.7%, respectively. The combination of matK + rbcL showed a high identification capacity in geographically restricted regions in taxonomic groups, whereas the three-locus barcode had a high rate of correct species identification both in tropics (84%) and in subtropics (90%).
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Plants
/
DNA, Plant
/
DNA Barcoding, Taxonomic
Type of study:
Diagnostic_studies
Language:
Zh
Journal:
Ying Yong Sheng Tai Xue Bao
Journal subject:
SAUDE AMBIENTAL
Year:
2012
Document type:
Article
Affiliation country:
China