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Tracing the geographic origin of the cosmopolitan parthenogenetic insect pest Liposcelis bostrychophila (Psocoptera: Liposcelididae)

Published online by Cambridge University Press:  09 March 2007

K.M. Mikac  and
G.M. Clarke
K.M. Mikac*
Affiliation:
CSIRO Division of Entomology, GPO Box 1700, Acton, 2601 ACT, Australia Institute for Applied Ecology, University of Canberra, Bruce, 2617 ACT, Australia
G.M. Clarke
Affiliation:
CSIRO Division of Entomology, GPO Box 1700, Acton, 2601 ACT, Australia
*
*Fax: +61 +2 +6246 4202 E-mail: [email protected]
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Abstract

The randomly amplified polymorphic DNA technique was used to trace the geographic origin of Liposcelis bostrychophila Badonnel populations in Australia from unknown geographic sources internationally. Haplotype (or clonal) diversity was high, with 474 unique haplotypes found from 616 individuals genotyped. Gene diversity estimates (0.10–0.28) and percent polymorphic loci (38.1–88.1%) were moderate to high for most populations. This resulted in genetic distance estimates that ranged from 0.04 to 0.26 and were significantly different for most pairwise population combinations. GST values for all populations were also moderate (0.04–0.54) and again were significantly different for most pairwise population comparisons. Analysis of molecular variance revealed that the majority of variation was apportioned among individuals within populations regardless of the level at which they were grouped. Gene flow (Nm) was mostly low for all pairwise populations comparisons with an average Nm = 1.8. A non-significant negative correlation between genetic distance and geographic distance was found for worldwide populations. In contrast, within Australian populations a significant positive correlation between genetic distance and geographic distance was detected. Genetic relationships explored using unweighted pair group method analysis and non-metric multidimensional scaling indicated a mixed pattern of genetic similarities among all populations. Multiple introductions, from a wide range of international source populations, have obscured the ability to accurately determine the geographic origin of L. bostrychophila in Australia.

Keywords

Liposcelis bostrychophilaAustraliagrain storagegene flowgeographic origin
Type
Research Article
Information
Bulletin of Entomological Research , Volume 96 , Issue 5 , October 2006 , pp. 523 - 530
Copyright
Copyright © Cambridge University Press 2006

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References

Ali, N. & Turner, B. (2001) Allozyme polymorphism and variability in permethrin tolerance in British populations of the parthenogenetic stored product pest Liposcelis bostrychophila (Liposcelididae, Psocoptera). Journal of Stored Products Research 37, 111–125.CrossRefGoogle ScholarPubMed
Baz, A. & Monserrat, V.J. (1999) Distribution of domestic Psocoptera in Madrid apartments. Medical and Veterinary Entomology 13, 259–264.CrossRefGoogle ScholarPubMed
Cadwell, N.E.H. (1947) Stored product pests. Queensland Agricultural Journal 64, 265–287.Google Scholar
Champ, B.R. & Smithers, C.N. (1965) Insects and mites associated with stored products in Queensland. 1. Psocoptera. Queensland Journal of Agriculture and Animal Sciences 22, 259–262.Google Scholar
Clarke, K.R. & Gorley, R.N. (2001) PRIMER v5 user manual/tutorial: Plymouth routines in multivariate ecological research. 91 pp. Plymouth Marine Laboratory, Plymouth, UK.Google Scholar
Excoffier, L., Smouse, P.E. & Quattro, J.M. (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction sites. Genetics 131, 479–491.CrossRefGoogle Scholar
Gasperi, G., Bonizzoni, M., Gomulski, L.M., Murelli, V., Torti, C., Malacrida, A.R. & Gulielmino, C.R. (2002) Genetic differentiation, gene flow and the origin of infestations of the medfly, Ceratitis capitata. Genetica 116, 125–135.CrossRefGoogle ScholarPubMed
Hadrys, H., Balick, M. & Schierwater, B. (1992) Applications of random amplified polymorphic DNA (RAPD) in molecular ecology.Molecular Ecology 1, 55–63.CrossRefGoogle ScholarPubMed
Huff, D.R., Peakall, R. & Smouse, P.E. (1993) RAPD variation within and among natural populations of outcrossing buffalograss [Buchloë dactyloides (Nutt.) Engelm.]. Theoretical and Applied Genetics 86, 927–934.CrossRefGoogle ScholarPubMed
Kim, K.S. & Sappington, T.W. (2004) Genetic structuring of boll weevil populations in the US based on RAPD markers. Insect Molecular Biology 13, 293–303.CrossRefGoogle ScholarPubMed
Kiritani, K. & Yamamura, K. (2003) Exotic insects and their pathways for introduction. pp. 44–67in Ruiz, G.M. & Carlton, J.T. (Eds) Invasive species. Vectors and management strategies. London, Island Press.Google Scholar
Lynch, M. & Milligan, B.G. (1994) Analysis of population genetic structure with RAPD markers. Molecular Ecology 3, 91–99.CrossRefGoogle ScholarPubMed
Lou, K.F., Weiss, M.J., Bruckner, W.L., Morrill, L.E., Talbert, L.E. & Martin, J.M. (1998) RAPD variation within and among geographic populations of wheat stem sawfly (Cephus cinctus Norton). Journal of Heredity 89, 329–335.CrossRefGoogle Scholar
Miller, P.S. (1997) Tools for population genetic analysis (TFPGA): a windowsTM program for the analysis of allozyme and molecular population genetic data, Version 3.1 (Last updated on February 11, 2005) http://www.marksgeneticsoftware.net/tfpga.htm.Google Scholar
Nei, M. (1973) Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences, USA 70, 3321–3323.CrossRefGoogle ScholarPubMed
Nei, M. (1978) Estimation of average heterozygosity and genetic distance for a small number of individuals. Genetics 89, 583–590.CrossRefGoogle ScholarPubMed
Peakall, R. & Smouse, P.E. (2006) GenAlEx 6: genetic analysis in excel. Population genetic software for teaching and research. Molecular Ecology Notes, in press.CrossRefGoogle Scholar
Ray, C. (2001) Maintaining genetic diversity despite local extinctions: effects of population scale. Biological Conservation 100, 3–14.CrossRefGoogle Scholar
Raymond, M.L. & Rousset, F. (1995) An exact test for population differentiation. Evolution 49, 1280–1283.CrossRefGoogle ScholarPubMed
Reed, D.H., O'Grady, J.J., Brook, B.W., Ballou, J.D. & Frankham, R. (2003) Estimates of minimum viable population sizes for vertebrates and factors influencing those estimates. Biological Conservation 113, 23–34.CrossRefGoogle Scholar
Rees, D.P. (2004) Insects of stored products. Collingwood, Victoria, CSIRO Publishing.CrossRefGoogle Scholar
Rice, W.R. (1989) Analyzing tables of statistical tests. Evolution 43, 223–225.CrossRefGoogle ScholarPubMed
Simon, J.C., Delmotte, F., Rispe, C. & Crease, T. (2003) Phylogenetic relationships between parthenogens and their sexual relatives: the possible routes to parthenogenesis in animals. Biological Journal of the Linnean Society 79, 151–163.CrossRefGoogle Scholar
Sjogren, P. & Wyoni, P. (1994) Conservation genetics and detection of rare alleles in finite populations. Conservation Biology 8, 267–270.CrossRefGoogle Scholar
Slatkin, M. (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139, 457–462.CrossRefGoogle ScholarPubMed
Stanaway, M.A., Zalucki, M.P., Gillespie, P.S. & Rodriguez, C.M. (2001) Pest risk assessment of insects in sea cargo containers. Australian Journal of Entomology 40, 180–192.CrossRefGoogle Scholar
Stevens, J. & Wall, R. (1995) The use of randomly amplified polymorphic DNA (RAPD) analysis for studies of the genetic variation in populations of the blowfly Lucilia sericata (Diptera: Calliphoridae) in southern England. Bulletin of Entomological Research 85, 549–555.CrossRefGoogle Scholar
Turner, B.D. (1999) Psocids as pests: the global perspective. International Pest Control 41, 185–186.Google Scholar
Vrijenhoek, R.C. (1998) Animal clones and diversity: are natural clones generalists or specialists. BioScience 48, 617–628.CrossRefGoogle Scholar
Walsh, P.S., Metzger, D.A. & Higuchi, R. (1991) Chelex-100 as a medium for simple extraction of DNA for PCR based typing from forensic material. BioTechniques 10, 506–513.Google ScholarPubMed
Welsh, J. & McClelland, M. (1990) Fingerprinting genomes using PCR with arbitrary primers. Nucleic Acids Research 18, 7213–7218.CrossRefGoogle ScholarPubMed
Williams, J.G.K., Kubelik, A.R., Livak, K.J., Rafolski, J.A. & Tingey, S.V. (1990) DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Research 18, 6531–6535.CrossRefGoogle ScholarPubMed
Yeh, F.C., Yang, R.-C., Boyle, T.B., Ye, Z.-H. & Mao, J.X. (1997) POPGENE, the user friendly software for population genetic analysis. Molecular Biology and Biotechnology Centre, university of Alberta, Edmonton Canada (last modified May, 2004) http://www.ualberta.ca/~fyeh/.Google Scholar
Yusuf, M. & Turner, B.D. (2004) Characterisation of Wolbachia-like bacteria isolated from the parthenogenetic stored-product pest psocid Liposcelis bostrychophila (Badonnel) (Psocoptera: Insecta). Journal of Stored Products Research 36, 169–175.CrossRefGoogle Scholar