XIE Lei; WANG YingWei; GUAN ShanYue; XIE LiJing; LONG Xin; SUN ChengYe

doi:10.3967/bes2014.115

Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes

XIE Lei, WANG YingWei, GUAN ShanYue, XIE LiJing, LONG Xin, SUN ChengYe

文章导航 > Biomedical and Environmental Sciences > 2014 > 27(10): 794-806

XIE Lei, WANG YingWei, GUAN ShanYue, XIE LiJing, LONG Xin, SUN ChengYe. Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes[J]. Biomedical and Environmental Sciences, 2014, 27(10): 794-806. doi: 10.3967/bes2014.115

Citation:

XIE Lei, WANG YingWei, GUAN ShanYue, XIE LiJing, LONG Xin, SUN ChengYe. Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes[J]. Biomedical and Environmental Sciences, 2014, 27(10): 794-806. doi: 10.3967/bes2014.115

doi: 10.3967/bes2014.115

基金项目: This study was supported by the Fundamental Research Funds for the Central Universities(grant no. TD2012-04)%the Scientific Research Foundation ofthe State Human Resource Ministry and the Education Ministry for Returned Chinese Scholars%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)

Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes

College of Nature Conservation, Beijing Forestry University, Beijing 100083, China
Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China
School of Agricultural Forestry and Environmental Sciences Forest Resources, Clemson University, South Carolina 29634, USA
National Institute of 0ccupational Health and Poison Control, China Center for Disease Control and Prevention, Beijing 100050, China

Funds: This study was supported by the Fundamental Research Funds for the Central Universities(grant no. TD2012-04)%the Scientific Research Foundation ofthe State Human Resource Ministry and the Education Ministry for Returned Chinese Scholars%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)

摘要: ObjectivePoisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants isinefficient, 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. MethodsSeventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled andthree DNA barcodes (matK,rbcL, and ITS) were amplified, sequenced and tested.Three methods, Blast,pairwise global alignment (PWG)distance, and Tree-Building were tested for discrimination power. ResultsThe primer universality of all the three markers was high. Except in the case of ITS for Hemerocallisminor, the three barcodes were successfully generated from all the selected species. Among the three methodsapplied, Blast showed the lowest discrimination rate,whereasPWGDistance 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. ConclusionDNA barcoding technique provides us a fast tool for clinical identification of poisonous plants in China.We suggestmatK,rbcL, ITS used in combination as DNA barcodes for authentication of poisonous plants.
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Abstract: ObjectivePoisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants isinefficient, 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. MethodsSeventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled andthree DNA barcodes (matK,rbcL, and ITS) were amplified, sequenced and tested.Three methods, Blast,pairwise global alignment (PWG)distance, and Tree-Building were tested for discrimination power. ResultsThe primer universality of all the three markers was high. Except in the case of ITS for Hemerocallisminor, the three barcodes were successfully generated from all the selected species. Among the three methodsapplied, Blast showed the lowest discrimination rate,whereasPWGDistance 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. ConclusionDNA barcoding technique provides us a fast tool for clinical identification of poisonous plants in China.We suggestmatK,rbcL, ITS used in combination as DNA barcodes for authentication of poisonous plants.
- Poisonous plants /
- DNA barcoding /
- matK /
- rbcL /
- ITS

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Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes

doi: 10.3967/bes2014.115

刊出日期: 2014-10-20

关键词:

Poisonous plants /

DNA barcoding /

matK /

rbcL /

ITS

摘要: ObjectivePoisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants isinefficient, 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. MethodsSeventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled andthree DNA barcodes (matK,rbcL, and ITS) were amplified, sequenced and tested.Three methods, Blast,pairwise global alignment (PWG)distance, and Tree-Building were tested for discrimination power. ResultsThe primer universality of all the three markers was high. Except in the case of ITS for Hemerocallisminor, the three barcodes were successfully generated from all the selected species. Among the three methodsapplied, Blast showed the lowest discrimination rate,whereasPWGDistance 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. ConclusionDNA barcoding technique provides us a fast tool for clinical identification of poisonous plants in China.We suggestmatK,rbcL, ITS used in combination as DNA barcodes for authentication of poisonous plants.

English Abstract

Prospects and Problems for Identification of Poisonous Plants in China using DNA Barcodes

College of Nature Conservation, Beijing Forestry University, Beijing 100083, China

Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China

School of Agricultural Forestry and Environmental Sciences Forest Resources, Clemson University, South Carolina 29634, USA

National Institute of 0ccupational Health and Poison Control, China Center for Disease Control and Prevention, Beijing 100050, China

Publish Date: 2014-10-20

Keywords:

Abstract: ObjectivePoisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants isinefficient, 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. MethodsSeventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled andthree DNA barcodes (matK,rbcL, and ITS) were amplified, sequenced and tested.Three methods, Blast,pairwise global alignment (PWG)distance, and Tree-Building were tested for discrimination power. ResultsThe primer universality of all the three markers was high. Except in the case of ITS for Hemerocallisminor, the three barcodes were successfully generated from all the selected species. Among the three methodsapplied, Blast showed the lowest discrimination rate,whereasPWGDistance 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. ConclusionDNA barcoding technique provides us a fast tool for clinical identification of poisonous plants in China.We suggestmatK,rbcL, ITS used in combination as DNA barcodes for authentication of poisonous plants.

Citation: