Do taxon-specific DNA barcodes improve species discrimination relative to universal barcodes in Lauraceae?

Author:

Liu Zhi-Fang123,Ma Hui2,Zhang Xiao-Yan24,Ci Xiu-Qin25,Li Lang25,Hu Jian-Lin24,Zhang Can-Yu24,Xiao Jian-Hua24,Li His-Wen6,Conran John G7,Twyford Alex D83,Hollingsworth Peter M3,Li Jie25

Affiliation:

1. Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China

2. Plant Phylogenetics and Conservation Group, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China

3. Genetics and Conservation Section, Royal Botanic Garden Edinburgh, Edinburgh, EH3 5LR, United Kingdom

4. University of Chinese Academy of Sciences, Beijing, 100049, China

5. Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Mengla, 666303, China

6. Herbarium (KUN), Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China

7. Australian Centre for Evolutionary Biology and Biodiversity & Sprigg Geobiology Centre, School of Biological Sciences, University of Adelaide, Adelaide, 5005, Australia

8. Institute of Evolutionary Biology, Ashworth Laboratories, The University of Edinburgh, Edinburgh, EH9 3FL, United Kingdom

Abstract

Abstract The aim of DNA barcoding is to enable fast and accurate species identification. However, universal plant DNA barcodes often do not provide species-level discrimination, especially in taxonomically complex groups. Here we use Lauraceae for the design and evaluation of DNA barcoding strategies, considering: (1) the efficacy of taxon-specific DNA barcode regions compared with universal barcodes for species discrimination; and (2) how the extent of intra- and interspecific sampling affects species discrimination rates. To address these areas, we targeted the highly polymorphic, taxon-specific barcode regions ycf1 + ndhH–rps15 + trnL–ycf2 for Lauraceae and compared them against the suite of standard plastid loci used for DNA barcoding (rbcL + matK + trnH–psbA) and the standard nuclear barcode ITS. The highest discrimination success came from nrDNA ITS, whereas the plastid regions (rbcL + matK + trnH–psbA) and the taxon-specific regions (ycf1 + ndhH–rps15 + trnL–ycf2) showed limited and inconsistent resolution. These results highlight that taxon-specific plastid barcodes may provide limited gains in discriminatory power in complex, closely related groups like Lauraceae. Moreover, our study showed that species discrimination greatly depends on the taxon sampling scheme, with relatively lower species discrimination observed where there is more comprehensive intra- and interspecific sampling. The outstanding challenge for plant DNA barcoding is the development of assays that allow routine low-cost access to large numbers of nuclear markers to facilitate the sequencing of large numbers of individuals.

Funder

National Natural Science Foundation of China

Biodiversity Conservation Program of the Chinese Academy of Sciences

Science and Technology Basic Resources Investigation Program of China

Chinese Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Reference63 articles.

1. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV;APG;Botanical Journal of the Linnean Society,2016

2. A DNA barcode for land plants;CBOL Plant Working Group;Proceedings of the National Academy of Sciences, USA,2009

3. Phylogeny and historical biogeography of Lauraceae: evidence from the chloroplast and nuclear genomes;Chanderbali;Annals of the Missouri Botanical Garden,2001

4. Land plants and DNA barcodes: short-term and long-term goals;Chase;Philosophical Transactions of the Royal Society B: Biological Sciences,2005

5. Stout camphor tree genome fills gaps in understanding of flowering plant genome evolution;Chaw;Nature Plants,2019

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