Hostname: page-component-7dd5485656-glrdx Total loading time: 0 Render date: 2025-10-30T04:03:08.287Z Has data issue: false hasContentIssue false
  • English
  • Français

Microsatellite analysis of the Queensland fruit fly Bactrocera tryoni (Diptera: Tephritidae) indicates spatial structuring: implications for population control

Published online by Cambridge University Press:  09 March 2007

H. Yu ,
M. Frommer ,
M.K. Robson ,
A.W. Meats ,
D.C.A. Shearman  and
J.A. Sved
H. Yu
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
M. Frommer
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
M.K. Robson
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
A.W. Meats
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
D.C.A. Shearman
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
J.A. Sved*
Affiliation:
Fruit Fly Research Centre, School of Biological Sciences A12, University of SydneyNSW 2006, Australia
*
*Fax: 61 2 9351 7504 E-mail: jsved@mail.usyd.edu.au
Get access Rights & Permissions [Opens in a new window]

Abstract

The population structure of a tephritid pest species, the Queensland fruit fly Bactrocera tryoni (Froggatt), has been analysed over a five year period (1994–1998), using six microsatellites. Adult fly samples were collected to cover most regions of eastern and central Australia where the flies are regularly found. Tests for heterogeneity indicated that flies within geographically defined regions were homogeneous. The samples were allocated into five regions, including one very large region, Queensland, which encompasses that portion of the fly‘s range where breeding can occur year-round. With one exception, the collections from different regions were homogeneous between years, showing a fairly static distribution of the species. However, differences between regions were highly significant. The one case of a change in frequency between years indicated a gradual replacement of flies in a marginal region by flies from the main part of the range. The finding of stability in the distribution of a highly mobile insect is of interest, potentially also for other species which have expanded beyond their native range. It is argued that a contributing reason for this stability may be adaptation to different climatic regimes, and that strategies for control based on this hypothesis afford a reasonable chance of success.

Information

Type
Research Article
Information
Bulletin of Entomological Research , Volume 91 , Issue 2 , April 2001 , pp. 139 - 147
Copyright
Copyright © Cambridge University Press 2001

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.)

Article purchase

Temporarily unavailable

References

Bateman, M.A. (1967) Adaptations to temperature in geographic races of the Queensland fruit fly, Dacus (Strumeta) tryoni. Australian Journal of Zoology 15, 1141–1161.CrossRefGoogle Scholar
Drew, R.A.I. (1989) The tropical fruit flies (Diptera: Tephritidae: Dacinae) of the Australian and Oceanic region. Memoirs of the Queensland Museum 26, 1–521.Google Scholar
Feldman, M.W., Bergman, A., Pollock, D.D. & Goldstein, D.B. (1997) Microsatellite genetic distances with range constraints: analytic description and problems of estimation. Genetics 145, 207–216.CrossRefGoogle ScholarPubMed
Fisher, R.A. & Yates, F. (1948) Statistical tables for biological, agricultural and medical research, 3rd edn. Edinburgh, Oliver and Boyd.Google Scholar
Fletcher, B.S. (1979) The overwintering survival of adults of the Queensland fruit fly, Dacus tryoni, under natural conditions. Australian Journal of Zoology 27, 403–411.CrossRefGoogle Scholar
Fletcher, B.S. (1989) Movements of tephritid fruit flies. pp. 209–219in Robinson, A.S. & Hooper, G.H.S. (Eds) Fruit flies: their biology, natural enemies and control, volume 3B. Amsterdam, Elsevier.Google Scholar
Froggatt, W.W. (1897) The fruit-maggot fly (Tephritis tryoni, n. sp.). Agricultural Gazette of New South Wales 8, 410–414.Google Scholar
Kinnear, M.W., Bariana, H.S., Sved, J.A. & Frommer, M. (1998) Polymorphic microsatellite markers for population analysis of a tephritid pest species, Bactrocera tryoni. Molecular Ecology 7, 1489–1495.CrossRefGoogle ScholarPubMed
Latter, B.D.H. (1973) The estimation of genetic divergence between populations based on gene frequency data. American Journal of Human Genetics 25, 247–261.Google ScholarPubMed
Luikart, G., Allendorf, F.W., Cornuet, J.M. & Sherwin, W.B. (1998) Distortion of allele frequency distributions provides a test for recent population bottlenecks. Journal of Heredity 89, 238–247.CrossRefGoogle ScholarPubMed
Maelzer, D.A. (1990) Fruit fly outbreaks in Adelaide, S.A., from 1948 – 49 to 1986 – 87. I. Demarcation, frequency and temporal patterns of outbreaks. Australian Journal of Zoology 38, 439–452.CrossRefGoogle Scholar
May, A.W.S. (1963) An investigation of fruit flies (Fam. Trypetidae) in Queensland. I. Introduction, species, pest status and distribution. Queensland Journal of Agricultural Science 20, 1–82.Google Scholar
McKechnie, S.W. (1975) Enzyme polymorphism and species discrimination in fruit flies of the genus Dacus (Tephritidae). Australian Journal of Biological Sciences 28, 405–411.CrossRefGoogle ScholarPubMed
Meats, A. (1981) The bioclimatic potential of the Queensland fruit fly, Dacus tryoni, in Australia. Proceedings of the Ecological Society of Australia 11, 151–161.Google Scholar
Meats, A. (1987) Pests and population models: fluctuations, equilibrium and persistence. pp. 339–359 in Mangel, M., Carey, J.R. & Plant, R.E. (Eds) Pest control: operations and systems analysis in fruit fly management. Berlin, Springer Verlag.Google Scholar
Meats, A. (1989) Bioclimatic potential. pp. 241–252 in Robinson, A.S. & Hooper, G. (Eds) Fruit flies: their biology, natural enemies and control, volume 3B. Amsterdam, Elsevier.Google Scholar
Meats, A. (1998) Predicting or interpreting trap catches resulting from natural propagules or releases of sterile fruit flies. An actuarial and dispersal model tested with data on Bactrocera tryoni General and Applied Entomology 28, 29–38.Google Scholar
Meats, A. & Khoo, K.C. (1976) The dynamics of ovarian maturation and oocyte resorption in the Queensland fruit fly (Dacus tryoni) in constant and rhythmic temperature regimes. Physiological Entomology 1, 213–221.CrossRefGoogle Scholar
Moritz, C., Schneider, C.J. & Wake, D. (1992) Evolutionary relationships within the Ensatina enchscholtzii complex confirm the ring species interpretation. Systematic Biology 41, 273–291.CrossRefGoogle Scholar
O'Loughlin, G.T., East, R.A. & Meats, A. (1984) Survival, development rate and generation times of the Queensland fruit fly, Dacus tryoni, in a marginally favorable climate. Experiments in Victoria. Australian Journal of Zoology 32, 353–361.CrossRefGoogle Scholar
Osborne, R., Meats, A., Frommer, M., Sved, J.A., Drew, R.A.I. & Robson, M.K. (1997) Australian distribution of 17 species of fruit flies (Diptera: Tephritidae) caught in cue lure traps in February 1994. Australian Journal of Entomology 36, 45–50.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, 507–509.Google ScholarPubMed
Weir, B. (1996) Genetic data analysis II. Sunderland, Massachusetts, Sinauer.Google Scholar
Wright, S. (1931) Evolution in Mendelian populations. Genetics 16, 97–159.CrossRefGoogle ScholarPubMed
Yu, H., Frommer, M., Robson, M.K. & Sved, J.A. (2000) A population analysis of the Queensland fruit fly Bactrocera tryoni using microsatellite markers. pp. 497–508 in Tan, K.H. (Ed.) Area-wide control of fruit flies and other insect pests. Penang, Malaysia, USM Press.Google Scholar