Literature DB >> 24119263

Discriminating plants using the DNA barcode rbcLb: an appraisal based on a large data set.

Wenpan Dong1, Tao Cheng, Changhao Li, Chao Xu, Ping Long, Chumming Chen, Shiliang Zhou.   

Abstract

The ideal DNA barcode for plants remains to be discovered, and the candidate barcode rbcL has been met with considerable skepticism since its proposal. In fact, the variability within this gene has never been fully explored across all plant groups from algae to flowering plants, and its performance as a barcode has not been adequately tested. By analysing all of the rbcL sequences currently available in GenBank, we attempted to determine how well a region of rbcL performs as a barcode in species discrimination. We found that the rbcLb region was more variable than the frequently used rbcLa region. Both universal and plant group-specific primers were designed to amplify rbcLb, and the performance of rbcLa and rbcLb was tested in several ways. Using blast, both regions successfully identified all families and nearly all genera; however, the successful species identification rates varied significantly among plant groups, ranging from 24.58% to 85.50% for rbcLa and from 36.67% to 90.89% for rbcLb. Successful species discrimination ranged from 5.19% to 96.33% for rbcLa and from 22.09% to 98.43% for rbcLb in species-rich families, and from 0 to 88.73% for rbcLa and from 2.04% to 100% for rbcLb in species-rich genera. Both regions performed better for lower plants than for higher plants, although rbcLb performed significantly better than rbcLa overall, particularly for angiosperms. Considering the applicability across plants, easy and unambiguous alignment, high primer universality, high sequence quality and high species discrimination power for lower plants, we suggest rbcLb as a universal plant barcode.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA barcode; nucleotide diversity; rbcLb; universal primers

Mesh:

Substances:

Year:  2013        PMID: 24119263     DOI: 10.1111/1755-0998.12185

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  26 in total

1.  Overseas seed dispersal by migratory birds.

Authors:  Duarte S Viana; Laura Gangoso; Willem Bouten; Jordi Figuerola
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

2.  Pay Attention to the Overlooked Cryptic Diversity in Existing Barcoding Data: the Case of Mollusca with Character-Based DNA Barcoding.

Authors:  Shanmei Zou; Qi Li
Journal:  Mar Biotechnol (NY)       Date:  2016-02-22       Impact factor: 3.619

3.  In-vitro antiproliferative efficacy of Abrus precatorius seed extracts on cervical carcinoma.

Authors:  Amritpal Kaur; Yash Sharma; Anoop Kumar; Madhumita P Ghosh; Kumud Bala
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

4.  Complete chloroplast genome of novel Adrinandra megaphylla Hu species: molecular structure, comparative and phylogenetic analysis.

Authors:  Huu Quan Nguyen; Thi Ngoc Lan Nguyen; Thi Nhung Doan; Thi Thu Nga Nguyen; Mai Huong Phạm; Tung Lam Le; Danh Thuong Sy; Hoang Ha Chu; Hoang Mau Chu
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

5.  Efficiency of ITS sequences for DNA barcoding in Passiflora (Passifloraceae).

Authors:  Giovanna Câmara Giudicelli; Geraldo Mäder; Loreta Brandão de Freitas
Journal:  Int J Mol Sci       Date:  2015-04-01       Impact factor: 5.923

6.  Interspecific Phylogenic Relationships within Genus Melilotus Based on Nuclear and Chloroplast DNA.

Authors:  Hongyan Di; Zhen Duan; Kai Luo; Daiyu Zhang; Fan Wu; Jiyu Zhang; Wenxian Liu; Yanrong Wang
Journal:  PLoS One       Date:  2015-07-13       Impact factor: 3.240

7.  A chloroplast genomic strategy for designing taxon specific DNA mini-barcodes: a case study on ginsengs.

Authors:  Wenpan Dong; Han Liu; Chao Xu; Yunjuan Zuo; Zhongjian Chen; Shiliang Zhou
Journal:  BMC Genet       Date:  2014-12-20       Impact factor: 2.797

8.  ycf1, the most promising plastid DNA barcode of land plants.

Authors:  Wenpan Dong; Chao Xu; Changhao Li; Jiahui Sun; Yunjuan Zuo; Shuo Shi; Tao Cheng; Junjie Guo; Shiliang Zhou
Journal:  Sci Rep       Date:  2015-02-12       Impact factor: 4.379

9.  Bamboo tea: reduction of taxonomic complexity and application of DNA diagnostics based on rbcL and matK sequence data.

Authors:  Thomas Horn; Annette Häser
Journal:  PeerJ       Date:  2016-12-08       Impact factor: 2.984

10.  Combining and Comparing Coalescent, Distance and Character-Based Approaches for Barcoding Microalgaes: A Test with Chlorella-Like Species (Chlorophyta).

Authors:  Shanmei Zou; Cong Fei; Jiameng Song; Yachao Bao; Meilin He; Changhai Wang
Journal:  PLoS One       Date:  2016-04-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.