Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-06-23T11:11:50.341Z Has data issue: false hasContentIssue false
  • English
  • Français

Development of microsatellite markers for, and a preliminary population genetic analysis of, the white-backed planthopper

Published online by Cambridge University Press:  11 September 2014

J.-T. Sun ,
X.-Y. Jiang ,
M.-M. Wang  and
X.-Y. Hong
J.-T. Sun
Affiliation:
Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu, China
X.-Y. Jiang
Affiliation:
Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu, China
M.-M. Wang
Affiliation:
Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu, China
X.-Y. Hong*
Affiliation:
Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu, China
*
*Author for correspondence Fax: +86 25 84395339 E-mail: xyhong@njau.edu.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

For a better understanding of the population structure and dispersal rates of Sogatella furcifera, we developed 21 novel polymorphic expressed sequence tags (EST) derived microsatellites, which were successfully amplified in four multiplex polymerase chain reaction sets. These new microsatellites were firstly assessed in 20 individuals sampled from Wenshan in China. The results showed that all 21 loci were highly polymorphic; the number of alleles ranged from 3 to 9, with an average of 4.8 alleles per locus. The observed and expected heterozygosity ranged from 0.200 to 0.900 and from 0.184 to 0.799, respectively. Nineteen of the 21 microsatellites without null allele, were subsequently used for population genetic structure analyses of five S. furcifera populations sampled in south region of China (sites up to 1314 kilometers apart). The observed and expected heterozygosity for each population ranged from 0.436 to 0.494 and from 0.454 to 0.482, respectively. The level of population differentiation was very low, with an average pairwise FST of 0.002. Bayesian cluster analysis result suggested that the five S. furcifera populations formed one genetic cluster. Discriminant analysis of principle components detected three genetic clusters. The spread of the three clusters across the five populations explained the lack of population differentiation and the Bayesian cluster result. All the results indicated that long-distance migration of this pest allowed genetic mixing between populations from remote geographical origins. These new microsatellites will be powerful tools for population genetics studies of S. furcifera.

Keywords

Sogatella furciferaSSRgenetic diversitygenetic structure
Type
Research Papers
Information
Bulletin of Entomological Research , Volume 104 , Issue 6 , December 2014 , pp. 765 - 773
Copyright
Copyright © Cambridge University Press 2014 

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

Aagaard, J.E., Krutovskii, K.V. & Strauss, S.H. (1998) RAPDs and allozymes exhibit similar levels of diversity and differentiation among populations and races of Douglas-fir. Heredity 81, 69–78.Google Scholar
Birky, C.W.J., Maruyama, T. & Fuerst, P. (1983) An approach to population and evolutionary genetic theory for genes in mitochondria and chloroplasts, and some results. Genetics 103, 513–52.Google Scholar
Broquet, T. & Petit, E.J. (2009) Molecular estimation of dispersal for ecology and population genetics. Annual Review of Ecology, Evolution, and Systematics 40, 193–216.Google Scholar
Burg, T.M., Lomax, J., Almond, R., Brooke, M.D.L. & Amos, W. (2003) Unravelling dispersal patterns in an expanding population of a highly mobile seabird, the northern fulmar (Fulmarus glacialis). Proceedings of the Royal Society of London Series B-Biological Sciences 270, 979–984.Google Scholar
Endersby, N., McKechnie, S., Ridland, P. & Weeks, A. (2006) Microsatellites reveal a lack of structure in Australian populations of the diamondback moth, Plutella xylostella (L.). Molecular Ecology 15, 107–118.Google Scholar
Franklin, M.T., Ritland, C.E. & Myers, J.H. (2011) Genetic analysis of cabbage loopers, Trichoplusia ni (Lepidoptera: Noctuidae), a seasonal migrant in western North America. Evolutionary Applications 4, 89–99.Google Scholar
Ge, C., Sun, J.-T., Cui, Y.-N. & Hong, X.-Y. (2013) Rapid development of 36 polymorphic microsatellite markers for Tetranychus truncatus by transferring from Tetranychus urticae . Experimental and Applied Acarology 61, 195–212.CrossRefGoogle ScholarPubMed
Goudet, J. (1995) FSTAT (version 1.2): a computer program to calculate F-statistics. Journal of Heredity 86, 485–486.Google Scholar
Grabherr, M.G., Haas, B.J., Yassour, M., Levin, J.Z., Thompson, D.A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R. & Zeng, Q. (2011) Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nature Biotechnology 29, 644–652.Google Scholar
He, P., Liu, J.-J., He, M., Wang, Z.-C., Chen, Z.R., Guo, J.C., Correll, S. Yang & Song, B.-A. (2013) Quantitative detection of relative expression levels of the whole genome of Southern rice black-streaked dwarf virus and its replication in different hosts. Virology Journal 10, 136. doi:10.1186/1743-422X-10-136.CrossRefGoogle ScholarPubMed
Holleley, C.E. & Geerts, P.G. (2009) Multiplex manager 1.0: a cross-platform computer program that plans and optimizes multiplex PCR. Biotechniques 46, 511–517.CrossRefGoogle ScholarPubMed
Jombart, T. (2008) adegenet: a R package for the multivariate analysis of genetic markers. Bioinformatics 24, 1403–1405.Google Scholar
Jombart, T., Devillard, S. & Balloux, F. (2010) Discriminant analysis of principal components: a new method for the analysis of genetically structured populations. BMC Genetics 11, 94. doi:10.1186/1471-2156-11-94.Google Scholar
Kofler, R., Schloetterer, C. & Lelley, T. (2007) SciRoKo: a new tool for whole genome microsatellite search and investigation. Bioinformatics 23, 1683–1685.Google Scholar
Liu, J.-N., Gui, F.-R. & Li, Z.-Y. (2010) Genetic diversity of the planthopper, Sogatella furcifera in the Greater Mekong Subregion detected by inter-simple sequence repeats (ISSR) markers. Journal of Insect Science 10, 52. doi:10.1673/031.010.5201.Google Scholar
Liu, Y., Zhang, B. & Hou, M. (2014) Thirteen microsatellite loci for Laodelphax striatellus and cross amplification in related taxa. Entomological Science 17, 125–129.CrossRefGoogle Scholar
Llewellyn, K.S., Loxdale, H.D., Harrington, R., Brookes, C.P., Clark, S.J. & Sunnucks, P. (2003) Migration and genetic structure of the grain aphid (Sitobion avenae) in Britain related to climate and clonal fluctuation as revealed using microsatellites. Molecular Ecology 12, 21–34.CrossRefGoogle ScholarPubMed
Loxdale, H.D. & Lushai, G. (2001) Use of genetic diversity in movement studies of flying insects. pp. 361–386 in Woiwod, I.P., Reynolds, D.R. & Thomas, C.D. (Eds) Insect Movement: Mechanisms and Consequences. Wallingford, CAB International.Google Scholar
Lyons, J.I., Pierce, A.A., Barribeau, S.M., Sternberg, E.D., Mongue, A.J. & De Roode, J.C. (2012) Lack of genetic differentiation between monarch butterflies with divergent migration destinations. Molecular Ecology 21, 3433–3444.Google Scholar
Matsumoto, Y., Matsumura, M., Sanada-Morimura, S., Hirai, Y., Sato, Y. & Noda, H. (2013) Mitochondrial cox sequences of Nilaparvata lugens and Sogatella furcifera (Hemiptera, Delphacidae): low specificity among Asian planthopper populations. Bulletin Entomological Research 103, 382–392.Google Scholar
Meng, X.-F., Shi, M. & Chen, X.-X. (2008) Population genetic structure of Chilo suppressalis (Walker) (Lepidoptera: Crambidae): strong subdivision in China inferred from microsatellite markers and mtDNA gene sequences. Molecular Ecology 17, 2880–2897.CrossRefGoogle Scholar
Mun, J., Song, Y., Heong, K. & Roderick, G. (1999) Genetic variation among Asian populations of rice planthoppers, Nilaparvata lugens and Sogatella furcifera (Hemiptera: Delphacidae): mitochondrial DNA sequences. Bulletin of Entomological Research 89, 245–253.Google Scholar
National coordinated research group for white-backed planthoppers. (1981) Studies on the migration of white-backed planthopper Sogatella furcifera (Horváth). Scientia Agricultura Sinica 5, 25–31.Google Scholar
Peakall, R. & Smouse, P.E. (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28, 2537–2539.Google Scholar
Pritchard, J.K., Stephens, M. & Donnelly, P. (2000) Inference of population structure using multilocus genotype data. Genetics 155, 945–959.CrossRefGoogle ScholarPubMed
R Development Core Team. (2005) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2005, ISBN:3-900051-07-0. Available online at http://www.R-project.org.Google Scholar
Raymond, M. & Rousset, F. (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. Journal of Heredity 86, 248–249.Google Scholar
Rozen, S. & Skaletsky, H. (2000) Primer3 on the www for general users and for biologist programmers. pp. 365–386 in Misener, S. &. Krawetz, S. (Eds) Bioinformatics Methods and Protocols: Methods in Molecular Biology. Totowa, Humana Press.Google Scholar
Shen, J.-H., Shang, J.-M. & Liu, G.-J. (2003) Management of the whitebacked planthopper, Sogatella furcifera in China: a mini-review. Chinese Journal Rice Science 17, 7–22.Google Scholar
Stevens, L., Salomon, B. & Sun, G. (2007) Microsatellite variability and heterozygote excess in Elymus trachycaulus populations from British Columbia in Canada. Biochemical Systematics and Ecology 35, 725–736.CrossRefGoogle Scholar
Sun, J.-T., Zhang, Y.-K., Ge, C. & Hong, X.-Y. (2011) Mining and characterization of sequence tagged microsatellites from the brown planthopper Nilaparvata lugens . Journal of Insect Science 11, 134. doi:10.1673/031.011.13401.CrossRefGoogle ScholarPubMed
van Oosterhout, C., Hutchinson, W.F., Wills, D.P. & Shipley, P. (2004) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4, 535–538.Google Scholar
Wei, S.-J., Shi, B.-C., Gong, Y.-J., Jin, G.-H., Chen, X.-X. & Meng, X.-F. (2013) Genetic structure and demographic history reveal migration of the diamondback moth Plutella xylostella (Lepidoptera: Plutellidae) from the southern to northern regions of China. PLoS One 8, e59654. doi:10.1371/journal.pone.0059654.Google Scholar
Weir, B.S. & Cockerham, C.C. (1984) Estimating F-statistics for the analysis of population structure. Evolution, 38, 1358–1370.Google Scholar
Xu, Y., Zhou, W., Zhou, Y., Wu, J. & Zhou, X. (2012) Transcriptome and comparative gene expression analysis of Sogatella furcifera (Horváth) in response to southern rice black-streaked dwarf virus. PLoS One 7, e36238. doi:10.1371/journal.pone.0036238.Google Scholar
Supplementary material: Image

Sun Supplementary Material

Figure S1

Download Sun Supplementary Material(Image)
Image 1.4 MB
Supplementary material: File

Sun Supplementary Material

Table S1

Download Sun Supplementary Material(File)
File 31.7 KB