Literature DB >> 25469426

DNA barcoding of Rhododendron (Ericaceae), the largest Chinese plant genus in biodiversity hotspots of the Himalaya-Hengduan Mountains.

Li-Jun Yan1,2,3, Jie Liu1, Michael Möller1,4, Lin Zhang1,3, Xue-Mei Zhang5, De-Zhu Li1,2, Lian-Ming Gao1.   

Abstract

The Himalaya-Hengduan Mountains encompass two global biodiversity hotspots with high levels of biodiversity and endemism. This area is one of the diversification centres of the genus Rhododendron, which is recognized as one of the most taxonomically challenging plant taxa due to recent adaptive radiations and rampant hybridization. In this study, four DNA barcodes were evaluated on 531 samples representing 173 species of seven sections of four subgenera in Rhododendron, with a high sampling density from the Himalaya-Hengduan Mountains employing three analytical methods. The varied approaches (nj, pwg and blast) had different species identification powers with blast performing best. With the pwg analysis, the discrimination rates for single barcodes varied from 12.21% to 25.19% with ITS < rbcL < matK < psbA-trnH. Combinations of ITS + psbA-trnH + matK and the four barcodes showed the highest discrimination ability (both 41.98%) among all possible combinations. As a single barcode, psbA-trnH performed best with a relatively high performance (25.19%). Overall, the three-marker combination of ITS + psbA-trnH + matK was found to be the best DNA barcode for identifying Rhododendron species. The relatively low discriminative efficiency of DNA barcoding in this genus (~42%) may possibly be attributable to too low sequence divergences as a result of a long generation time of Rhododendron and complex speciation patterns involving recent radiations and hybridizations. Taking the morphology, distribution range and habitat of the species into account, DNA barcoding provided additional information for species identification and delivered a preliminary assessment of biodiversity for the large genus Rhododendron in the biodiversity hotspots of the Himalaya-Hengduan Mountains.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA barcoding; Rhododendron; adaptive radiation; biodiversity hotspots; species identification; the Himalaya-Hengduan Mountains

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Year:  2014        PMID: 25469426     DOI: 10.1111/1755-0998.12353

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


  38 in total

1.  Asymmetrical natural hybridization varies among hybrid swarms between two diploid Rhododendron species.

Authors:  Li-Jun Yan; Kevin S Burgess; Richard Milne; Chao-Nan Fu; De-Zhu Li; Lian-Ming Gao
Journal:  Ann Bot       Date:  2017-07-01       Impact factor: 4.357

2.  Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood.

Authors:  Tuo He; Lichao Jiao; Alex C Wiedenhoeft; Yafang Yin
Journal:  Planta       Date:  2019-03-01       Impact factor: 4.116

3.  DNA barcoding of vouchered xylarium wood specimens of nine endangered Dalbergia species.

Authors:  Min Yu; Lichao Jiao; Juan Guo; Alex C Wiedenhoeft; Tuo He; Xiaomei Jiang; Yafang Yin
Journal:  Planta       Date:  2017-08-19       Impact factor: 4.116

4.  The Rhododendron Plant Genome Database (RPGD): a comprehensive online omics database for Rhododendron.

Authors:  Ningyawen Liu; Lu Zhang; Yanli Zhou; Mengling Tu; Zhenzhen Wu; Daping Gui; Yongpeng Ma; Jihua Wang; Chengjun Zhang
Journal:  BMC Genomics       Date:  2021-05-22       Impact factor: 3.969

5.  The Use of DNA Barcoding on Recently Diverged Species in the Genus Gentiana (Gentianaceae) in China.

Authors:  Juan Liu; Hai-Fei Yan; Xue-Jun Ge
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

6.  DNA Barcoding Evaluation and Its Taxonomic Implications in the Recently Evolved Genus Oberonia Lindl. (Orchidaceae) in China.

Authors:  Yuling Li; Yi Tong; Fuwu Xing
Journal:  Front Plant Sci       Date:  2016-12-05       Impact factor: 5.753

7.  Feasibility of nuclear ribosomal region ITS1 over ITS2 in barcoding taxonomically challenging genera of subtribe Cassiinae (Fabaceae).

Authors:  Priyanka Mishra; Amit Kumar; Vereena Rodrigues; Ashutosh K Shukla; Velusamy Sundaresan
Journal:  PeerJ       Date:  2016-12-15       Impact factor: 2.984

8.  Efficient Identification of the Forest Tree Species in Aceraceae Using DNA Barcodes.

Authors:  Yu-Wei Han; Dong Duan; Xiong-Feng Ma; Yun Jia; Zhan-Lin Liu; Gui-Fang Zhao; Zhong-Hu Li
Journal:  Front Plant Sci       Date:  2016-11-16       Impact factor: 5.753

9.  Exploring Genetic Divergence in a Species-Rich Insect Genus Using 2790 DNA Barcodes.

Authors:  Xiaolong Lin; Elisabeth Stur; Torbjørn Ekrem
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

10.  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

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