Literature DB >> 19557335

DNA barcoding: species delimitation in tree peonies.

JinMei ZHANG1, JianXiu WANG, Tao XIA, ShiLiang ZHOU.   

Abstract

Delimitations of species are crucial for correct and precise identification of taxa. Unfortunately "species" is more a subjective than an objective concept in taxonomic practice due to difficulties in revealing patterns of infra- or inter-specific variations. Molecular phylogenetic studies at the population level solve this problem and lay a sound foundation for DNA barcoding. In this paper we exemplify the necessity of adopting a phylogenetic concept of species in DNA barcoding for tree peonies (Paeonia sect. Moutan). We used 40 samples representing all known populations of rare and endangered species and several populations of widely distributed tree peonies. All currently recognized species and major variants have been included in this study. Four chloroplast gene fragments, i.e. ndhF, rps16-trnQ, trnL-F and trnS-G (a total of 5040 characters, 96 variable and 69 parsimony-informative characters) and one variable and single-copy nuclear GPAT gene fragment (2093-2197 bp, 279 variable and 148 parsimony-informative characters) were used to construct phylogenetic relationships among the taxa. The evolutionary lineages revealed by the nuclear gene and the chloroplast genes are inconsistent with the current circumscriptions of P. decomposita, P. jishanensis, P. qiui, and P. rockii based on morphology. The inconsistencies come from (1) significant chloroplast gene divergence but little nuclear GPAT gene divergence among population systems of P. decomposita + P. rockii, and (2) well-diverged nuclear GPAT gene but little chloroplast gene divergence between P. jishanensis and P. qiui. The incongruence of the phylogenies based on the chloroplast genes and the nuclear GPAT gene is probably due to the chloroplast capture event in evolutionary history, as no reproductive barriers exist to prevent inter-specific hybridization. We also evaluated the suitability of these genes for use as DNA barcodes for tree peonies. The variability of chloroplast genes among well-defined species or population systems of a species complex is 4.82 times the figure within the groups, and the GPAT gene is twice as variable between the groups as within the groups. The number of completely divergent sites is sufficient to mark the two subsections, the two species in subsection Delavayanae, and the well-divergent species in subsection Vaginatae. But the genes currently used either from the chloroplast genome or from the nuclear genome alone cannot correctly assign samples of P. decomposita, P. jishanensis, P. qiui, or P. rockii to the species as currently defined. We conclude that (1) DNA barcoding should be based on prior phylogenetic studies to understand the evolutionary lineages and how well the taxonomic species correspond to the lineages; (2) it is unlikely to find a single short fragment as a barcode for every plant and such a fragment could result in misidentification when a chloroplast capture event happened in the evolutionary history of plants like tree peonies; and (3) we suggest striving for a universal marker at the familial level and locally universal barcodes within a family instead of looking for a universal barcode for all plants.

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Year:  2009        PMID: 19557335     DOI: 10.1007/s11427-009-0069-5

Source DB:  PubMed          Journal:  Sci China C Life Sci        ISSN: 1006-9305


  12 in total

1.  Revealing genetic diversity of tree peonies at micro-evolution level with hyper-variable chloroplast markers and floral traits.

Authors:  Zhili Suo; Chuanhong Zhang; Yongqi Zheng; Lixia He; Xiaobai Jin; Boxin Hou; Jiajue Li
Journal:  Plant Cell Rep       Date:  2012-09-09       Impact factor: 4.570

Review 2.  The changing epitome of species identification - DNA barcoding.

Authors:  M Ajmal Ali; Gábor Gyulai; Norbert Hidvégi; Balázs Kerti; Fahad M A Al Hemaid; Arun K Pandey; Joongku Lee
Journal:  Saudi J Biol Sci       Date:  2014-03-31       Impact factor: 4.219

3.  An integrated web medicinal materials DNA database: MMDBD (Medicinal Materials DNA Barcode Database).

Authors:  Shao-Ke Lou; Ka-Lok Wong; Ming Li; Paul Pui-Hay But; Stephen Kwok-Wing Tsui; Pang-Chui Shaw
Journal:  BMC Genomics       Date:  2010-06-24       Impact factor: 3.969

4.  Comparative Chloroplast Genomics of Seven Endangered Cypripedium Species and Phylogenetic Relationships of Orchidaceae.

Authors:  Jun-Yi Zhang; Min Liao; Yue-Hong Cheng; Yu Feng; Wen-Bing Ju; Heng-Ning Deng; Xiong Li; Andelka Plenković-Moraj; Bo Xu
Journal:  Front Plant Sci       Date:  2022-06-22       Impact factor: 6.627

5.  Genetic structure of the tree peony (Paeonia rockii) and the Qinling Mountains as a geographic barrier driving the fragmentation of a large population.

Authors:  Jun-hui Yuan; Fang-Yun Cheng; Shi-Liang Zhou
Journal:  PLoS One       Date:  2012-04-16       Impact factor: 3.240

6.  A novel SERRS sandwich-hybridization assay to detect specific DNA target.

Authors:  Cécile Feuillie; Maxime Mohamad Merheb; Benjamin Gillet; Gilles Montagnac; Isabelle Daniel; Catherine Hänni
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

7.  Highly variable chloroplast markers for evaluating plant phylogeny at low taxonomic levels and for DNA barcoding.

Authors:  Wenpan Dong; Jing Liu; Jing Yu; Ling Wang; Shiliang Zhou
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

8.  Reverse transcriptase domain sequences from tree peony (Paeonia suffruticosa) long terminal repeat retrotransposons: sequence characterization and phylogenetic analysis.

Authors:  Da-Long Guo; Xiao-Gai Hou; Tian Jia
Journal:  Biotechnol Biotechnol Equip       Date:  2014-05-04       Impact factor: 1.632

9.  Two New Potential Barcodes to Discriminate Dalbergia Species.

Authors:  Rasika M Bhagwat; Bhushan B Dholakia; Narendra Y Kadoo; M Balasundaran; Vidya S Gupta
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

10.  Efficiency of matK, rbcL, trnH-psbA, and trnL-F (cpDNA) to Molecularly Authenticate Philippine Ethnomedicinal Apocynaceae Through DNA Barcoding.

Authors:  Vincent Louie Domingo Cabelin; Grecebio Jonathan Duran Alejandro
Journal:  Pharmacogn Mag       Date:  2016-05       Impact factor: 1.085

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