Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the perfo...Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.展开更多
基金supported by the Fundamental Research Funds for the Central Universities(grant no.TD2012-04)the Scientific Research Foundation of the State Human Resource Ministry and the Education Ministry for Returned Chinese Scholars(to L.Xie)+2 种基金the State Key Laboratory Program from the State Key Laboratory of Systematic and Evolutionary Botany(grant no.LSEB2011-07)the Main Direction Program of Knowledge Innovation of the Chinese Academy of Sciences(grant no.KSCX2-EW-Z-1)the National Natural Science Foundation of China(grant nos.31170201,81072317,31110103911)
文摘Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.
