Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-26T04:54:40.548Z Has data issue: false hasContentIssue false

Genetic structure of green ash (Fraxinus pennsylvanica): implications for the establishment of ex situ conservation protocols in light of the invasion of the emerald ash borer

Published online by Cambridge University Press:  11 February 2014

Constance E. Hausman
Affiliation:
Cleveland Metroparks, Cleveland, OH44144, USA Department of Biological Sciences, Kent State University, Kent, OH44242, USA
Michelle M. Bertke
Affiliation:
Department of Biological Sciences, Kent State University, Kent, OH44242, USA
John F. Jaeger
Affiliation:
Metropark District of the Toledo Area, Toledo, OH43615, USA
Oscar J. Rocha*
Affiliation:
Department of Biological Sciences, Kent State University, Kent, OH44242, USA
*
* Corresponding author. E-mail: [email protected]

Abstract

The USA is experiencing a prolific invasion of the wood-boring emerald ash borer, Agrilus planipennis. Native to Asia, this beetle completes its life cycle on ash trees and results in nearly complete mortality of all infested trees. In the present study, we examined the levels of genetic diversity and differentiation among eight populations of Fraxinus pennsylvanica (green ash) using five polymorphic microsatellite loci. Genetic information was used to design guidelines for the establishment of a seed collection sampling strategy to conserve the genetic diversity of ash trees. We found high levels of genetic diversity, as indicated by the allelic richness, both across the populations (16.4 ± 5.18 alleles per locus) and within them (8.03 ± 1.21 alleles per locus). The expected and observed heterozygosity was also high (0.805 ± 0.38 and 0.908 ± 0.04, respectively), and there was moderate genetic differentiation among the populations (FST= 0.083) with members of these eight populations grouped into three distinct clusters. We examined the relationship between the number of individuals sampled and the number of alleles captured in a random sample taken from a population of 10,000 individuals. Only sample sizes of 100 individuals captured most of the alleles (average = 78.74 alleles), but only seven of 50 samples effectively captured all the 82 alleles. Smaller samples did not capture all alleles. A probabilistic model was used to determine an optimal sampling strategy, and it was concluded that a collection of 200 seeds from each of five mother trees would have the highest likelihood of capturing all alleles in a population.

Type
Research Article
Copyright
Copyright © NIAB 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

Bashalkhanov, S, Pandey, M and Rajora, OP (2009) A simple method for estimating genetic diversity in large populations from finite sample sizes. BMC Genetics 10: 84.Google Scholar
Beckman Coulter Inc. (2009) GenomeLab™: Genetic Analysis System. Brea, CA: Beckman Coulter, Inc.Google Scholar
Bonner FT (1974) Fraxinus L. ash. In: Schopmeyer CS (techn. coord.) Weeds of Woody Plants in the United States. Agriculture Handbook No. 450. Washington, DC, USDA Forest Service, pp. 411–419.Google Scholar
Brown, ADH and Briggs, JD (1991) Sampling strategies for genetic variation in ex situ collections of endangered plant species. In: Falk, DA and Holsinger, KE (eds) Genetic Conservation of Rare Plants. New York: Oxford University Press, pp. 99119.Google Scholar
Brown, AHD and Hardner, CM (2000) Sampling the gene pools of forest trees for ex situ conservation. In: Young, A, Boyle, T and Boshier, T (eds) Forest Conservation Genetics: Principles and Practice. Melbourne: CSIRO, pp. 185196.CrossRefGoogle Scholar
Carter, KK (1996) Provenance tests as indicators of growth responses to climate change in 10 north temperate tree species. Canadian Journal of Forest Research 26: 10891095.CrossRefGoogle Scholar
Center for Plant Conservation (1991) Genetic sampling guidelines for conservation collections of endangered plants. In: Faulk, DA and Holsinger, KE (eds) Genetics and Conservation of Rare Plants. New York: Oxford University Press, pp. 225238.Google Scholar
Cullings, KW (1992) Design and testing of a plant-specific PCR primer for ecological and evolutionary studies. Molecular Ecology 1: 233240.Google Scholar
Degen, B, Streiff, R and Ziegenhagen, B (1999) Comparative study of genetic variation and differentiation of two pedunculate oak (Quercus robur) stands using microsatellite and allozyme loci. Heredity 83: 597603.Google Scholar
Doyle, JJ and Doyle, JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin 19: 1115.Google Scholar
Earl, D and von Holdt, B (2011) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources 4: 359361.Google Scholar
Evanno, G, Regnaut, S and Goudet, J (2005) Detecting the number of clusters of individuals using the software STRUCURE: a simulation study. Molecular Ecology 14: 26112620.Google Scholar
Feres, JMM, Guidugli, MC, Mestriner, MA, Sebbenn, AM, Ciampi, AY and Alzate-Marin, AL (2009) Microsatellite diversity and effective population size in a germplasm bank of Hymenaea courbaril var. stilbocarpa (Leguminosae), an endangered tropical tree: recommendations for conservation. Genetic Resources and Crop Evolution 56: 797807.CrossRefGoogle Scholar
Fisher, RA (1925) Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.Google Scholar
Geyer, WA, Lynch, KD, Row, J, Schaeffer, P and Bagley, W (2005) Performance of green ash seed sources at four locations in the Great Plains region. Northern Journal of Applied Forestry 22: 5458.Google Scholar
Goodall-Copestake, WP, Hollingsworth, ML, Hollingsworth, PM, Jenkins, GI and Collin, E (2005) Molecular markers and ex situ conservation of the European elms (Ulmus spp.). Biological Conservation 122: 537546.Google Scholar
Guarino, L., Ramanatha Rao, V. and Reid, R. 1995. Collecting Plant Genetic Diversity, Technical Guidelines. CAB International, Wallingford.Google Scholar
Guerrant, EO Jr, Fiedler, PL, Havens, K and Maunder, M (2004) Revised genetic sampling guidelines for conservation collections of rare and endangered plants. In: Guerrant, EO, Havens, K and Maunder, M (eds) Ex Situ Plant Conservation. Washington, DC: Island Press, pp. 419441.Google Scholar
Haack, RA, Jendek, E, Liu, H, Marchant, KR, Tetrice, TR, Poland, TM and Ye, H (2002) The emerald ash borer: a new exotic pest in North America. Michigan Entomological Society Newsletter 47: 15.Google Scholar
Hawkes, JG (1980) Crop Genetic Resources Field Collection Manual. Birmingham: Department of Plant Biology, University of Birmingham.Google Scholar
Herms, DA, Stone, AK and Chatfield, JA (2004) Emerald ash borer: the beginning of the end of ash in North America? In: Chatfield, JA, Draper, EA, Mathers, HM, Dyke, DE, Bennett, PJ and Boggs, JF (eds) Ornamental Plants: Annual Reports and Research Reviews 2003. Special Circular 193. Wooster, OH: Ohio Agriculture Research and Development Center, Ohio State University Extension, pp. 6271.Google Scholar
Heuertz, M, Hausman, J-F, Tsvetkov, I, Frascaria-Lacostes, N and Vekemans, X (2001) Assessment of genetic structure within and among Bulgarian populations of the common ash (Fraxinus excelsior L.). Molecular Ecology 10: 16151623.Google Scholar
Heuertz, M, Hausman, J-F, Hardy, OJ, Vendramin, GG, Frascaria-Lacostes, N and Vekemans, X (2004) Nuclear microsatellites reveal contrasting patterns of genetic structure between western and southeastern European populations of the common ash (Fraxinus excelsior L.). Evolution 58: 976988.Google Scholar
Hu, L-J, Uchiyama, K, Shen, H-L, Saito, Y, Tsuda, Y and Ide, Y (2008) Nuclear DNA microsatellites reveal genetic variation but a lack of phylogeographical structure in an endangered species, Fraxinus mandshurica, across northeast China. Annals of Botany 102: 195205.Google Scholar
Hu, L-J, Uchiyama, K and Shen, H-L (2010) Multiple-scaled spatial genetic structures of Fraxinus mandshurica over a riparian-mountain landscape in Northeast China. Conservation Genetics 11: 7787.Google Scholar
Hubisz, MJ, Falush, D, Stevphens, M and Pritchard, JK (2009) Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources 9: 13221332.Google Scholar
Karnosky, DF and Steiner, KC (1981) Provenance and family variation in response of Fraxinus americana and Fraxinus pennsylvanica to ozone and sulfur dioxide. Phytopathology 71: 804807.Google Scholar
Khoury, C, Laliberte, B and Guarino, L (2010) Trends in ex situ conservation of plant genetic resources: a review of global crop and regional conservation strategies. Genetic Resources and Crop Evolution 57: 625639.Google Scholar
Lawrence, MJ and Marshall, DF (1997) Plant population genetics. In: Maxted, N, Ford-Lloyd, BV and Hawkes, JG (eds) Plant Genetic Conservation: The In-situ Approach. London: Chapman and Hall, pp. 99113.Google Scholar
Lawrence, MJ, Marshall, DF and Davies, P (1995a) Genetics of genetic conservation. I. Sample size when collecting germplasm. Euphytica 84: 8999.CrossRefGoogle Scholar
Lawrence, MJ, Marshall, DF and Davies, P (1995b) Genetics of genetic conservation. II. Sample size when collecting seed of cross pollinating species and the information that can be obtained from the evaluation of material held in gene banks. Euphytica 84: 101107.Google Scholar
Lefort, F, Brachet, S, Frascaria-Lacoste, N, Edwards, KJ and Douglas, GC (1999) Identification and characterization of microsatellite loci in ash (Fraxinus excelsior L.) and their conservation in the olive family (Oleaceae). Molecular Ecology 8: 10751092.Google Scholar
Marshall, DR and Brown, AHD (1975) Optimum sampling strategies in genetic conservation. In: Frankel, OH and Hawkes, JG (eds) Crop Genetic Resources Today and Tomorrow. Cambridge: Cambridge University Press, pp. 5380.Google Scholar
Miller, MP (1997) Tools for population genetic analyses (TFPGA) 1.3: A Windows program for the analysis of allozyme and molecular population genetic data. Computer software distributed by author. http://www.marksgeneticsoftware.net/_vti_bin/shtml.exe/tfpga.htm . Google Scholar
National Research Council (1991) Managing Global Genetic Resources: Forest Trees. Washington, DC: National Academy Press.Google Scholar
National Research Council (1993) Managing Global Genetic Resources: Agricultural Crop Issues and Policies. Washington, DC: National Academy Press.Google Scholar
Nei, M (1973) Analysis of genetic diversity in subdivided populations. Proceedings of the National Academy of Science (USA) 70: 33213323.Google Scholar
Nei, M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583590.Google Scholar
Pritchard, JK, Stephens, M and Donnelly, P (2000) Inference of population structure using multilocus genotype data. Genetics 155: 945995.Google Scholar
Rivera-Ocasio, E, Mitchell Aide, T and Owen McMillan, W (2006) The influence of spatial scale on the genetic structure of a widespread tropical wetland tree, Pterocarpus officinalis (Fabaceae). Conservation Genetics 7: 251266.Google Scholar
Roby, K, Dobbs, M, Clark, D, Boyer, S and Threadgill, G (2000) High Precise DNA Sizing on the CEQtm 2000 Fragment Analysis System. Fullerton, CA: Beckman Coulter.Google Scholar
Rocha, OJ and Aguilar, G (2001) Reproductive biology of the dry forest tree Enterolobium cyclocarpum (guanacaste) in Costa Rica: a comparison between trees left in pastures and trees in continuous forest. American Journal of Botany 88: 16071614.Google Scholar
Rousset, F (1997) Genetic differentiation and estimation of gene flow from F-statistics under isolation by distance. Genetics 145: 12191228.Google Scholar
Rudinger, M, Dacasa, C, Glaeser, J, Hebel, I and Dounavi, A (2008) Genetic structures of common ash (Fraxinus excelsior) populations in Germany at sites differing in water regimes. Canadian Journal of Forest Resources 38: 11991210.CrossRefGoogle Scholar
Schuelke, M (2000) An economic method for the fluorescent labeling of PCR fragments. Nature Biotechnology 18: 233234.Google Scholar
Streiff, R, Labbe, T, Bacilieri, R, Steinkellner, H, Glossl, J and Kremer, A (1998) Within-population genetic structure in Quercus robur L. & Quercus petraea (Matt.) Liebl. assessed with isozymes and microsatellites. Molecular Ecology 7: 317328.Google Scholar
Taylor, SMO (1971) Ecological and genetic isolation of Fraxinus americana and Fraxinus pennsylvanica . PhD Dissertation, Michigan State University, East Lansing.Google Scholar
Trusty, JL, Miller, I, Boyd, RS and Goertzen, LR (2009) Ex situ conservation of the federally endangered plant species Clematis socialis Kral (Ranunculaceae). Natural Areas Journal 29: 376384.Google Scholar
USDA NRCS (2006) Web Soil Survey. Available at: http://websoilsurey.nrcs.usda.gov (accessed accessed 15 November 2006). Lincoln, NE: National Soil Survey Center.Google Scholar
USDA NRCS (2010) The PLANTS Database. Available at: http://plants.usda.gov (accessed accessed 30 April 2010). Baton Rouge, LA: National Plant Data Center.Google Scholar
Van Rossum, F, Campos De Sousa, S and Triest, L (2004) Genetic consequences of habitat fragmentation in an agricultural landscape on the common Primula veris, and comparison with its rare congener, P. vulgaris . Conservation Genetics 5: 231245.Google Scholar
Weir, BS (1996) Genetic Data Analysis II. Sunderland, MA: Sinauer.Google Scholar
Widrlechner, MP (2010) Building a comprehensive collection of ash germplasm. Proceedings of the 4th Global Botanic Gardens Congress, June 2010, Dublin, Ireland .Google Scholar
Xie, J, Agrama, HA, Kong, D, Zhuang, J, Hu, B, Wan, Y and Yan, W (2010) Genetic diversity associated with conservation of endangered Dongxiang wild rice (Oryza rufipogon). Genetic Resources and Crop Evolution 57: 597609.Google Scholar
Yeh, FC, Yang, R and Boyle, T (1999) Popgene Version 1.31: Microsoft Window-based Freeware for Population Genetic Analysis. Edmonton, AB: University of Alberta.Google Scholar
Yonezawa, K and Ichihashi, H (1989) Sample size for collecting germplasm from natural plant populations in view of the genotypic multiplicity of seed embryos borne on a single plant. Euphytica 41: 9197.Google Scholar
Zoro Bi, I, Maquet, A, Degreef, J, Wathelet, B and Baudoin, JP (1998) Sample size for collecting seeds in germplasm conservation: the case of the Lima bean (Phaseolus lunatus L.). Theoretical and Applied Genetics 97: 187194.Google Scholar
Supplementary material: File

Hausman Supplementary Material

Figures and Tables

Download Hausman Supplementary Material(File)
File 205.1 KB