Literature DB >> 22919833

[Identification of plant species based on DNA barcode technology].

Nan-Cai Pei1.   

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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Year:  2012        PMID: 22919833

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  1 in total

1.  Closely-related taxa influence woody species discrimination via DNA barcoding: evidence from global forest dynamics plots.

Authors:  Nancai Pei; David L Erickson; Bufeng Chen; Xuejun Ge; Xiangcheng Mi; Nathan G Swenson; Jin-Long Zhang; Frank A Jones; Chun-Lin Huang; Wanhui Ye; Zhanqing Hao; Chang-Fu Hsieh; Shawn Lum; Norman A Bourg; John D Parker; Jess K Zimmerman; William J McShea; Ida C Lopez; I-Fang Sun; Stuart J Davies; Keping Ma; W John Kress
Journal:  Sci Rep       Date:  2015-10-12       Impact factor: 4.379

  1 in total

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