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Invasion Dynamics and Genotypic Diversity of Cogongrass (Imperata cylindrica) at the Point of Introduction in the Southeastern United States

Published online by Cambridge University Press:  20 January 2017

Ludovic J. A. Capo-chichi*
Affiliation:
Department of Crop and Soil Sciences, University of Georgia, 1109 Experiment Street, Griffin, GA 30223-1297
Wilson H. Faircloth
Affiliation:
National Peanut Research Lab, U.S. Department of Agriculture, P.O. Box 509, E. Dawson, GA, 39842
A. G. Williamson
Affiliation:
Department of Agronomy and Soils, Auburn University, 202 Funchess Hall, Auburn, AL 36849-5412
Michael G. Patterson
Affiliation:
Department of Agronomy and Soils, Auburn University, 202 Funchess Hall, Auburn, AL 36849-5412
James H. Miller
Affiliation:
U.S. Department of Agriculture Forest Service, Southern Research Station School of Forestry and Wildlife Sciences, Auburn University, 520 Devall Drive, Auburn, AL 36849
Edzard van Santen
Affiliation:
Department of Agronomy and Soils, Auburn University, 202 Funchess Hall, Auburn, AL 36849-5412
*
Corresponding author's E-mail: [email protected]

Abstract

Nine sites of cogongrass were included in a study of genotypic diversity and spread dynamics at the point of introduction and its adjacent areas in the southern United States. Clones evaluated with two primer pairs yielded a total of 137 amplified fragment length polymorphism (AFLP) loci of which 102 (74.4%) were polymorphic. Genetic diversity was measured as the percentage of polymorphic, Shannon's information index, Nei's gene diversity, and panmictic heterozygosity. Nei's gene diversity (HS) across all nine sites was estimated to be 0.11 and within site gene diversity ranged from 0.06 to 0.16. Bayesian estimate of gene diversity and Shannon's information index were higher (0.17 and 0.17, respectively). The samples from the point of introduction (Pi) had the lowest genetic diversity for all types of estimates. Within site variance accounted for 56% of the total variation and among site variance 44% (P < 0.05). Differentiation among sites was assessed using F ST. The greatest difference was found between the Pi and the others. No relationship was found between genetic and geographic distances. Principal component analysis as well as cluster analysis separated individuals into three main clusters. The Pi formed a separate subcluster. Gene flow (Nm), inferred from Φ-statistics describing the genetic differentiation between pairs of sites ranged from 0.6 to 5.55. The lack of significant relationship between gene flow and geographic distance as well as genetic and geographic distances suggests that the invasion dynamics of cogongrass into the southern United States is primarily through anthropogenic activities and to the lesser extent through natural forces.

Type
Research Articles
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Albert, T., Raspe, O., and Jacquemart, A. L. 2003. Clonal structure in Vaccinium myrtillus L. revealed by RAPD and AFLP markers. Int. J. Plant Sci 164:649655.Google Scholar
Anderson, E. and Stebbing, G. L. Jr. 1954. Hybridization as an evolutionary stimulus. Evolution 8:378388.CrossRefGoogle Scholar
Arens, P., Grashof-Bokdam, C. J., van der Sluis, T., and Smulders, M. J. M. 2005. Clonal diversity and genetic differentiation of Maianthemum bifolium among forest fragments of different age. Plant Ecol 179:16180.Google Scholar
Barrett, S. C. H. and Husband, B. C. 1990. The genetics of plant migration and colonization. Pages 254277. in Brown, A. H. D., Clegg, M. T., Kahler, A. L., and Weir, B. S., editors. Plant Population Genetics, Breeding, and Genetic Resources. Sunderland, MA Sinaeur Associates.Google Scholar
Brown, J. H. and Kodric-Brown, A. 1977. Turnover rates in insular biogeography: effect of immigration on extinction. Ecology 58:445449.Google Scholar
Bryson, C. T. and Carter, R. 1993. Cogongrass, Imperata cylindrica, in the United States. Weed Technol 7:10051009.Google Scholar
D'Antonio, R., Meyerson, L., and Denslow, J. 2001. Research priorities related to invasive exotic species. Pages 5960. in Soule, M., Orians, G., and Dee Boersma, P., editors. Conservation Biology: Research priorities for the coming decade. Covelo, CA Island Press.Google Scholar
Dickens, R. 1974. Cogongrass in Alabama after sixty years. Weed Sci 22:177179.Google Scholar
Douhovnikoff, V., Cheng, A. M., and Dodd, R. 2004. Incidence, size and spatial structure of clones in second-growth stands of coast redwood, Sequoia sempervirens (Cupressaceae). Am. J. Bot 91:11401146.Google Scholar
Doyle, J. J. and Doyle, J. L. 1990. Isolation of DNA from fresh tissue. Focus 12:1315.Google Scholar
Dozier, H., Gaffney, J. F., McDonald, S. K., Johnson, E. R. R. L., and Shilling, D. G. 1998. Cogongrass in the United States: history, ecology, impacts, and management. Weed Technol 12:737743.Google Scholar
Eckert, C. G., Lui, K., Bronson, K., Corradini, P., and Bruneau, A. 2003. Population genetics consequences of extreme variation in sexual and clonal reproduction in an aquatic plant. Mol. Ecol 12:331344.Google Scholar
Ellstrand, N. C. and Roose, M. L. 1987. Patterns of genotypic diversity in clonal plant species. Am. J. Bot 74:123131.Google Scholar
Ellstrand, N. C. and Schierenbeck, K. A. 2000. Hybridization as a stimulus for the evolution of invasiveness in plants. Pages 70437050. in. Proceedings of the National Academy of Sciences of the United States of America.Google Scholar
Excoffier, L. P., Smouse, E., and Quattro, J. M. 1992. Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131:479491.Google Scholar
Faircloth, W. H., Patterson, M. G., Miller, J. H., and Teem, D. H. 2003. Wanted Dead Not Alive: Cogongrass. Auburn, AL Alabama Cooperative Extension System Rep. ANR-1241. 4.Google Scholar
Gabel, M. L. 1982. A biosystematic study of the genus Imperata (Gramineae: Andropogoneae). Ph.D. dissertation. Ames, IA Iowa State University. 94.Google Scholar
Gray, A. J. 1986. Do invading species have definable genetic-characteristics. Philos. Trans. R. Soc. Lond. B Biol. Sci 314:655674.Google Scholar
Hall, D. W. 1998. Is Cogon grass really an exotic. Wildland Weeds 1:1415.Google Scholar
Hitchcock, A. S. 1950. Manual of the Grasses of the United States. 2nd ed, revised by Chase A. Washington, DC U.S. Department of Agriculture. Misc. Pub. 1051. No. 200.Google Scholar
Holm, L. G., Donald, P., Pancho, J. V., and Herberger, J. P., editors. 1977. The World's Worst Weeds: Distribution and Biology. Honolulu The University Press of Hawaii. 609.Google Scholar
Holsinger, K. E. and Lewis, P. O. 2003. HICKORY: a package for analysis of population genetic data V1.0. http://www.eeb.uconn.edu.Google Scholar
Holsinger, K. E., Lewis, P. O., and Dipak, K. D. 2002. A Bayesian approach to inferring population structure from dominant markers. Mol. Ecol 11:11571164.Google Scholar
Holsinger, P. E. and Wallace, L. A. 2004. Bayerian approaches for the analysis of population genetic structure: an example from Platanthera leucophaea . Mol. Ecol 13:887894.CrossRefGoogle Scholar
Hubbard, C. E., Whyte, R. O., Brown, D., and Gray, A. P. 1944. Imperata cylindrica: taxonomy, distribution, economic significance and control. Imperial Agricultural Bureaux Joint Publication 7:163.Google Scholar
Kreher, S. A., Fore, S. A., and Collins, B. S. 2000. Genetic variation within and among patches of the clonal species, Vaccinium stamineum L. Mol. Ecol 9:12471252.Google Scholar
McDermott, J. M. and McDonald, B. A. 1993. Gene flow in plant pathosystems. Annu. Rev. Phytopathol 31:353373.Google Scholar
McDonald, S. K., Shilling, D. G., Okoli, C. A. N., Bewick, T. A., Gordon, D., Hall, D., and Smith, R. 1996. Population dynamics of cogongrass, Imperata cylindrica . in. Proceedings of the Southern Weed Science Society of America 156.Google Scholar
McLellan, A. J., Prati, D., Kaltz, O., and Schmid, B. 1997. Structure and analysis of phenotypic and genetic variation in clonal plants. Pages 185210. in de Kroon, H. and van Groenendael, J., editors. The Ecology and Evolution of Clonal Plants. Leiden, The Netherlands Backbuys.Google Scholar
Mueller, U. G. and Wolfenbarger, L. L. 1999. AFLP genotyping and fingerprinting. Trends Ecol. Evol 14:389394.Google Scholar
Nei, M. 1978. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583590.Google Scholar
Nei, M. and Li, W. 1979. Mathematical model for studying genetic variation in terms of restriction endonucleases. in. Proceedings of the National Academy of Sciences of the USA 52695273.Google Scholar
Novack, S. J., Mack, R. N., and Soltis, P. S. 1993. Genetic variation in Bromus tectorum (Poaceae): introduction dynamics in North America. Can. J. Bot 71:14411448.CrossRefGoogle Scholar
Pappert, R. A., Hamrick, J. L., and Donovan, L. A. 2000. Genetic variation in Pueraria lobata (Fabaceae), an introduced, clonal, invasive plant of the southeastern United States. Am. J. Bot 87:12401245.Google Scholar
Pornon, A., Escaravage, N., Thomas, P., and Taberlet, P. 2000. Dynamics of genotypic structure in clonal Rhododendron ferrugineum (Ericaceae) populations. Mol. Ecol 9:10991111.Google Scholar
Rolf, F. J. 1998. NTSys-pc, version 2.0: Numerical taxonomy and multivariate analysis system. http://exetersoftware.com/cat/ntsyspc/ntsyspc.Google Scholar
Sarthou, C., Samadi, S., and Boisselier-Dubayle, M. C. 2001. Genetic structure of the saxicole Pitcairnia geyskesii (Bromeliaceae) on inselbergs in French Guina. Am. J. Bot 88:861868.Google Scholar
Schneider, S., Roessli, D., and Excoffier, L. 2000. Arlequin, Version 2000: Software for Population Genetics Data Analysis. http://anthropologie.unige.cn/arlequin/.Google Scholar
Shilling, D. G., Beckwick, T. A., Gaffney, J. F., McDonald, S. K., Chase, C. A., and Johnson, E. R. L. 1997. Ecology, Physiology, and Management of Cogongrass (Imperata cylindrica). Bartow, FL Florida Institute of Phosphate Research Rep. 03-1070-140. 144.Google Scholar
Simberloff, D. and Von Holle, B. 1999. Positive interactions of nonindigenous species: invasional meltdown. Biol. Invasions 1:2132.Google Scholar
Slatkin, M. 1993. Isolation by distance in equilibrium and non-equilibrium populations. Evolution 47:264279.Google Scholar
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., and van der Linde, A. 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, series B 64:583639.Google Scholar
Tabor, P. 1952. Cogongrass in Mobile County, Alabama. Agron. J 44:50.Google Scholar
Tsutsui, N. D. and Case, T. J. Population genetics and colony structure of the Argentine ant (Linepithema humile) in its native and introduced ranges. Evolution 2001. 55:976985.Google Scholar
Vilà, M., Weber, E., and D’Antonio, M. 2000. Conservation implications of invasion by plant hybridization, Biol. Invasions 2:207217.Google Scholar
Vos, P., Hogers, R., Reijam, M., van de Lee, T., Hornes, M., Frijters, A., Pot, J., Peleman, J., Kuiper, M., and Zabeau, M. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res 23:44074414.Google Scholar
Wang, T., Su, Y., and Chen, G. 2007. Population genetic variation and structure of the invasive weed Mikania micrantha in Southern China: consequences of rapid range expansion. Journal of Heredity. DOI 10.1093/jhered/esm080.Google Scholar
Whitlock, M. C. and McCauley, D. E. 1999. Indirect measure of gene flow and migration: FST ≠ 1/(4Nm + 1). Heredity 82:117125.Google Scholar
Wright, S. 1951. The genetical structure of populations. Ann. Eugen 15:323354.Google Scholar
Yeh, F. C. and Boyle, T. J. B. 1997. Popgene, the user-friendly shareware for population genetic analysis. http://www.ualberta.ca/fyeh/index.htm.Google Scholar