Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-26T17:03:17.030Z Has data issue: false hasContentIssue false

DNA barcoding implicates 23 species and four orders as potential pollinators of Chinese knotweed (Persicaria chinensis) in Peninsular Malaysia

Published online by Cambridge University Press:  27 April 2015

M.-M. Wong
Affiliation:
Ecology and Biodiversity Program, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia Institute of Plant and Microbial Biology, Academia Sinica, Taipei 11529, Taiwan
C.-L. Lim
Affiliation:
Ecology and Biodiversity Program, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia Herbarium, Forest Research Institute Malaysia, 52109 Kepong, Selangor, Malaysia
J.-J. Wilson*
Affiliation:
Ecology and Biodiversity Program, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia Museum of Zoology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
*
*Author for Correspondence Phone: +603-7967 4112 Fax: +603-7967 4187 E-mail: johnwilson@um.edu.my

Abstract

Chinese knotweed (Persicaria chinensis) is of ecological and economic importance as a high-risk invasive species and a traditional medicinal herb. However, the insects associated with P. chinensis pollination have received scant attention. As a widespread invasive plant we would expect P. chinensis to be associated with a diverse group of insect pollinators, but lack of taxonomic identification capacity is an impediment to confirm this expectation. In the present study we aimed to elucidate the insect pollinators of P. chinensis in peninsular Malaysia using DNA barcoding. Forty flower visitors, representing the range of morphological diversity observed, were captured at flowers at Ulu Kali, Pahang, Malaysia. Using Automated Barcode Gap Discovery, 17 morphospecies were assigned to 23 species representing at least ten families and four orders. Using the DNA barcode library (BOLD) 30% of the species could be assigned a species name, and 70% could be assigned a genus name. The insects visiting P. chinensis were broadly similar to those previously reported as visiting Persicaria japonica, including honey bees (Apis), droneflies (Eristalis), blowflies (Lucilia) and potter wasps (Eumedes), but also included thrips and ants.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bartomeus, I., Vilà, M. & Santamaria, L. (2008) Contrasting effects of invasive plants in plant-pollinator networks. Oecologia 155, 761770.Google Scholar
Boykin, L., Armstrong, K.F., Kubatko, L. & De Barro, P. (2012) Species delimitation and global biosecurity. Evolutionary Bioinformatics 8, 137.CrossRefGoogle ScholarPubMed
Clare, E.L., Schiestl, F.P., Leitch, A.R. & Chittka, L. (2013) The promise of genomics in the study of plant-pollinator interactions. Genome Biology 14, 207.Google Scholar
(FAO) Food and Agriculture Organisation of the United Nations (2009) Pollination Services for Sustainable Agriculture. Rome, Italy, FAO.Google Scholar
Floyd, R.M., Wilson, J.J. & Hebert, P.D.N. (2009) DNA barcodes and insect biodiversity. pp. 417431 in Foottit, R.G. & Adler, P.H. (Eds) Insect Biodiversity: Science and Society. Oxford, Blackwell Publishing Ltd. CrossRefGoogle Scholar
Galloway, D.J. & Lepper, V.E. (2010) Persicaria chinensis – a new alien Asian invader? pp. 174–175 in Proceedings 17th Australasian Weeds Conference organised by the New Zealand Plant Protection Society, Christchurch. 26–30 September 2010 Christchurch, New Zealand Plant Protection Society.Google Scholar
Gomez, J.M., & Zamora, R. (1992) Pollination by ants: consequences of the quantitative effects on a mutualistic system. Oecologia 91, 410418.Google Scholar
Hausmann, A., Godfray, H.C.J., Huemer, P., Mutanen, M., Rougerie, R., van Nieukerken, E.J., Ratnasingham, S. & Hebert, P.D.N. (2013) Genetic patterns in European geometrid moths revealed by the Barcode Index Number (BIN) system. PLoS ONE 8, e84518.Google Scholar
Hebert, P.D.N. & Gregory, T.R. (2005) The promise of DNA barcoding for taxonomy. Systematic Biology 54, 852859.Google Scholar
Hebert, P.D.N., Cywinska, A., Ball, S.L. & deWaard, J.R. (2003) Biological identifications through DNA barcodes. Proceedings of the Royal Society of London B: Biological Sciences 270, 313321.Google Scholar
Hendrich, L., Morinière, J., Haszprunar, G., Hebert, P.D.N., Hausmann, A., Köhler, F. & Balke, M. (2014) A comprehensive DNA barcode database for Central European beetles: adding more than 3500 identified species to BOLD. Molecular Ecology Resources doi: 10.1111/1755-0998.Google Scholar
Hickman, J.C. (1974) Pollination by ants: a low energy system. Science 184, 12901292.Google Scholar
Maddison, D.R., Guralnick, R., Hill, A., Reysenbach, A.-L. & McDade, L.A. (2012) Ramping up biodiversity discovery via online quantum contributions. Trends in Ecology and Evolution 27, 7277.Google Scholar
Mayer, C., Adler, L., Armbruster, W.S., Dafni, A., Eardley, C., Huang, S.-Q., Kevan, P.G., Ollerton, J., Packer, L., Ssymank, A., Stout, J.C. & Potts, S.G. (2011) Pollination ecology in the 21st century: key questions for future research. Journal of Pollination Ecology 3, 823.CrossRefGoogle Scholar
Nishihiro, J., & Washitani, I. (1998) Patterns and consequences of self-pollen deposition on stigmas in heterostylous Persicaria japonica (Polygonaceae). American Journal of Botany 85, 352359.Google Scholar
Paz, A., & Crawford, A.J. (2012) Molecular-based rapid inventories of sympatric diversity: a comparison of DNA barcode clustering methods applied to geography-based vs clade-based sampling of amphibians. Journal of Biosciences 37, 887896.Google Scholar
Pentinsaari, M., Hebert, P.D.N. & Mutanen, M. (2014) Barcoding beetles: a regional survey of 1872 species reveals high identification success and unusually deep interspecific divergences. PLoS ONE 9, e108651.CrossRefGoogle ScholarPubMed
Pons, J., Barraclough, T.G., Gomez-Zurita, J., Cardoso, A., Duran, D.P., Hazell, S., Kamoun, S., Sumlin, W.D. & Vogler, A.P. (2006) Sequence-based species delimitation for the DNA taxonomy of undescribed insects. Systematic Biology 55, 595609.Google Scholar
(PIER) US Forest Service, Pacific Island Ecosystems at Risk (2010) Persicaria chinensis. Available at http://www.hear.org/pier/species/persicaria_chinensis.htm (accessed 20 January 2015).Google Scholar
Puillandre, N., Lambert, A., Brouillet, S. & Achaz, G. (2012) ABGD, Automatic barcode gap discovery for primary species delimitation. Molecular Ecology 21, 18641877.Google Scholar
Raju, A.J.S., Kanaka Raju, V., Victor, P. & Appala Naidu, S. (2001) Floral ecology, breeding system and pollination in Antigonon leptopus L. (Polygonaceae). Plant Species Biology 16, 159164.Google Scholar
Ratnasingham, S. & Hebert, P.D.N. (2007) BOLD: the barcode of life data system (www.barcodinglife.org). Molecular Ecology Notes 7, 355364.CrossRefGoogle ScholarPubMed
Ratnasingham, S. & Hebert, P.D.N. (2013) A DNA-based registry for all animal species: the Barcode Index Number (BIN) system. PLoS ONE 8, e66213.Google Scholar
Reddy, N.P., Bahadur, B. & Kumar, P.V. (1977) Heterostyly in Polygonum chinense L. Journal of Genetics 63, 7982.Google Scholar
Richardson, D.M., Allsopp, N., D'Antonio, C.M., Milton, S.J. & Rejmanek, M. (2000) Plant invasions – the role of mutualisms. Biological Review 75, 6593.Google ScholarPubMed
Tamura, K., Stecher, G., Peterson, D., Filipski, A. & Kumar, S. (2013) MEGA6: molecular evolutionary genetics analysis Version 6.0. Molecular Biology and Evolution 30, 27252729.Google Scholar
Thomas, S.G., Rehal, S.M., Varghese, A., Davidar, P. & Potts, S.G. (2009) Social bees and food plant associations in the Nilgiri Biosphere Reserve, India. Tropical Ecology 50, 7988.Google Scholar
Tillekaratne, K., Edirisinghe, J.P., Gunatilleke, C.V.S. & Karunaratne, W.A.I.P. (2011) Survey of thrips in Sri Lanka: a checklist of thrips species, their distribution and host plants. Ceylon Journal of Science (Biological Sciences) 40, 89108.CrossRefGoogle Scholar
Wilson, J.J. (2012) DNA barcodes for insects. pp. 1746 in Kress, W.J. & Erikson, D.L. (Eds) DNA Barcodes: Methods and Protocols, Methods in Molecular Biology, vol. 858. New York, Humana Press.CrossRefGoogle Scholar
Wilson, J.J., Rougerie, R., Shonfeld, J., Janzen, D., Hallwachs, W., Kitching, I., Haxaire, J., Hajibabaei, M. & Hebert, P.D.N. (2011) When species matches are unavailable are DNA barcodes correctly assigned to higher taxa? An assessment using sphingid moths. BMC Ecology 11, 18.Google Scholar
Wilson, J.J., Sing, K.W., Halim, M.R.A., Ramli, R., Hashim, R. & Sofian-Azirun, M. (2014) Utility of DNA barcoding for rapid and accurate assessment of bat diversity in Malaysia in the absence of formally described species. Genetics and Molecular Research 13, 920925.Google Scholar
Wong, M.M. (2012) The reproductive biology and cytotoxic activity of Persicaria chinensis (L.) H. Gross var. chinensis (Polygonaceae). M.Sc. Thesis, University of Malaya, Kuala Lumpur.Google Scholar
Woodcock, T.S., Boyle, E.E., Roughley, R.E., Keva, P.G., Labbee, R.N., Smith, A.B.T., Goulet, H., Steinke, D. & Adamowicz, S.J. (2013) The diversity and biogeography of the Coleoptera of Churchill: insights from DNA barcoding. BMC Ecology 13, 40.Google Scholar
Zhang, J., Kapli, P., Pavlidis, P. & Stamatakis, A. (2013) A general species delimitation method with applications to phylogenetic placements. Bioinformatics 29, 28692876.Google Scholar