Spatial genetic structure in populations of Quercus mongolica var. grosseserrata (Fagaceae) from southern Korea

Canadian Journal of Botany

Volumn 82, Issue 9, 2004, Pages 1402-1408

  Mi, Yoon Chung ^a   Myong, Gi Chung ^a  

^a Gyeongsang National University   (South Korea)

Author keywords

Allozymes; Fagaceae; Ground cover; Quercus mongolica var. grosseserrata; Sasa spp.; Spatial genetic structure

Indexed keywords

FORESTRY; STATISTICAL METHODS; VEGETATION;

GROUND VEGETATION; OVERLAPPING SEED SHADOWS; PUTATIVE ALLOZYME GENOTYPES; SASA-FREE POPULATION;

GENES;

AUTOCORRELATION; FOREST; GENETIC STRUCTURE; POPULATION STRUCTURE; SPATIAL DISTRIBUTION;

FORESTRY; GENES; PLANTS; STATISTICAL ANALYSIS;

ASIA; EASTERN HEMISPHERE; EURASIA; FAR EAST; KOREA; WORLD;

EMBRYOPHYTA; FAGACEAE; QUERCUS; QUERCUS MONGOLICA; QUERCUS MONGOLICA VAR. GROSSESERRATA; RODENTIA; SASA;

EID: 9344242350     PISSN: 00084026     EISSN: None     Source Type: Journal    
DOI: 10.1139/B04-100     Document Type: Article

References (49)

1. Aldrich, P.R., Hamrick, J.L., Chavarriage, P., and Kochert, G. 1998. Microsatellite analysis of demographic genetic structure in fragmented populations of the tropical tree Symphonia globulifera. Mol. Ecol. 7: 933-944.
2. Bacilieri, R., Labbe, T., and Kremer, A. 1994. Intraspecific genetic structure in a mixed population of Quercus petraea (Matt.) Leibl and Q. robur L. Heredity, 73: 130-141.
3. Boyle, T., Liengsiri, C., and Piewluang, C. 1990. Genetic structure of black spruce on two contrasting sites. Heredity, 65: 393-399.
4. Casgrain, P.2001. Permute! Version 3.4 alpha 9 [computer program]. Available from http://www.fas.umontreal.ca/biol/casgrain/en/labo/permute/ [updated 19 September 2002; cited 22 November 2002].
5. Chung, M.Y., and Chung, M.G. 2002. Fine-scale genetic structure in populations of Quercus variabilis (Fagaceae) from southern Korea. Can. J. Bot. 80: 1034-1041.
6. Chung, M.G., and Kang, S.S. 1994. Genetic variation and population structure in Korean populations of Eurya japonica (Theaceae). Am. J. Bot. 81: 1077-1082.
7. Chung, M.Y., Nason, J. Chung, M.G., Kim, K.-J., Park, C.-W., Sun, B.-Y., and Pak, J.-H. 2002. Landscape-level spatial genetic structure in Quercus acutissima (Fagaceae). Am. J. Bot. 89: 1229-1236.
8. Chung, M.Y., Epperson, B.K., and Chung, M.G. 2003. Genetic structure of age classes in Camellia japonica (Theaceae). Evolution, 57: 62-73.
9. Chung, M.Y., Nason, J.D., and Chung, M.G. 2004. Implications of clonal structure for effective population size and genetic drift in a rare terrestrial orchid, Cremastra appendiculata. Conser. Biol. 18. In press.
10. Clayton, J.W., and Tretiak, D.N. 1972. Amine citrate buffers for pH control in starch gel electrophoresis. J. Fish. Res. Board Can. 29: 1169-1172.
11. Cockerham, C.C. 1969. Variance of gene frequencies. Evolution, 23: 72-84.
12. Crow, J.F., and Kimura, M. 1970. An introduction to population genetic theory. Harper and Row, New York.
13. Darley-Hill, S., and Johnson, W.C. 1981. Acorn dispersal by bluejay (Cyanocitta criststa). Oecologia, 50: 231-232.
14. Ducousso, A., Michaud, H., and Lumaret, R. 1993. Reproduction and gene flow in the genus Quercus. Ann. Sci. For. 50(Suppl. 1): 91-106.
15. Ellstrand, N.C. 1992. Gene flow among seed plant populations. New For. 6: 241-256.
16. Epperson, B.K. 1989. Spatial patterns of genetic variation within plant population. In Plant population genetics, breeding, and genetic resources. Edited by A.H.D. Brown, M.T. Clegg, A.L. Kahler, and B.S. Weir. Sinauer, Sunderland, Mass. pp. 229-253.
17. Epperson, B.K. 2003. Geographical genetics. Princeton University Press, Princeton, N.J.
18. Epperson, B.K., and Chung, M.G. 2001. Spatial genetic structure of allozyme polymorphisms within populations of Pinus strobus (Pinaceae). Am. J. Bot. 88: 1006-1010.
19. Geburek, T., and Tripp-Knowles, P. 1994. Genetic architecture in bur oak, Quercus macrocarpa (Fagaceae), inferred by means of spatial autocorrelation analysis. Plant Syst. Evol. 189: 63-74.
20. Gillet, E. 1998. DIPLOGEN: qualitative inheritance analysis of zymograms and DNA electrophenograms in diploid individuals [computer program]. Available from http://www.uni-forst.gwdg.de/forst/fg/software.htm [updated 27 July 2002; cited 17 September 2002].
21. Hamrick, J.L., and Nason, J.D. 1996. Consequences of dispersal in plants. In Population dynamics in ecological space and time. Edited by O.E. Rhodess Jr., R.K. Chesser, and M.H. Smith. University of Chicago Press, Chicago, pp. 203-236.
22. Hamrick, J.L., Murawski, D.A., and Nason, J.D. 1993. The influence of seed dispersal mechanisms on the genetic structure of tropical tree populations. Vegetatio, 107-108: 281-297.
23. Heywood, J.S. 1991. Spatial analysis of genetic variation in plant populations. Annu. Rev. Ecol. Syst. 22: 235-255.
24. Kalisz, S., Nason, J.D., Hanzawa, F.A., and Tonsor, S.J. 2001. Spatial population genetic structure in Trillium grandiflorum: the roles of dispersal, mating, history and selection. Evolution, 55: 1560-1568.
25. Knowles, P., Perry, D.J., and Foster, H.A. 1992. Spatial genetic structure in two tamarack (Larix laricina (Du Roi) K. Kock) populations with differing establishment histories. Evolution, 46: 572-576.
26. Loiselle, B.A., Sork, V.L., Nason, J., and Graham, C. 1995. Spatial genetic structure of a tropical understory shrub, Psychotria officinalis (Rubiaceae). Am. J. Bot. 82: 1420-1425.
27. McCauley, D.E. 1997. The relative contributions of seed and pollen movement to the local genetic structure of Silene alba. J. Hered. 88: 257-263.
28. Mitton, J.B., Linhart, Y.B., Sturgeon, K.B., and Hamrick, J.L. 1979. Allozyme polymorphisms detected in mature needle tissue of ponderosa pine. J. Hered. 70: 86-89.
29. Miyaki, M., and Kikuzawa, K. 1988. Dispersal of Quercus mongolica acorns in a broadleaved deciduous forest. 2. Scatter-hoarding by mice. For. Ecol. Manage. 25: 9-16.
30. Miyamoto, M. 1988. Dispersal patterns of oak acorns [translation]. Forest Breeding in Hokkaido, Japan, 31: 36-39.
31. Nakashizuka, T. 1988. Regeneration of beech (Fagus crenata) after the simultaeneous death of undergrowing dwarf bamboo (Sasa kurilensis). Ecol. Res. 3: 21-35.
32. Nakashizuka, T. 1989. Role of uprooting in composition and dynamics of an old-growth forest Japan. Ecology, 70: 1273-1278.
33. Nakashizuka, T., and Numata, M. 1982. Regeneration process of climax beech forests. I. Structure of a beech forest with the under growth of Sasa. Jpn. J. Ecol. 32: 57-67.
34. Parker, K.C., Parker, A.J., Beaty, R.M., Fuller, M.M., and Faust, T.D. 1997. Population structure and spatial pattern of two coastal populations of Ocala sand pine (Pinus clausa (Chapm. ex Engelm.) Vasey ex Sarg. var. clausa D.B. Ward). J. Torrey Bot. Club, 124: 22-33.
35. Parker, K.C., Hamrick, J.L., Parker, A.J., and Nason, J.D. 2001. Fine-scale genetic structure in Pinus clausa (Pinaceae) populations: effects of disturbance history. Heredity, 87: 99-113.
36. Ripley, B.D. 1976. The second-order analysis of stationary point processes. J. Appl. Prob. 13: 965-981.
37. Ripley, B.D. 1977. Modelling spatial patterns. J. Royal Stat. Soc. Ser. B, 39: 172-192.
38. Schnabel, A., Nason, J.D., and Hamrick, J.L. 1998. Understanding the population genetic structure of Gleditsia triacanthos L.: seed dispersal and variation in female reproductive success. Mol. Ecol. 7: 819-832.
39. Schoen, P.E., and Latta, R.G. 1989. Spatial autocorrelation of genotypes in populations of Impatiens pallida and Impatiens capensis. Heredity, 63: 181-189.
40. Sokal, R.R., and Jacquez, G.M. 1991. Testing inferences about microevolutionary processes by means of spatial autocorrelation analysis. Evolution, 45: 152-168.
41. Sokal, R.R., and Oden, N.L. 1978. Spatial autocorrelation in biology. 1. Methodology. Biol. J. Linn. Soc. 10: 199-249.
42. Soltis, D.E., Haufler, C.H., Darrow, D.C., and Gastony, G.J. 1983. Starch gel electrophoresis of ferns: a compilation of grinding buffers, gel and electrode buffers, and staining schedules. Am. Fern J. 73: 9-27.
43. Ubukata, M., Itahana, N., and Kohono, K. 1999. Examination of the mating system of mizunara (Quercus mongolica var. grosseserrata) in a natural stand based on spatial genetic structure and inbreeding depression. J. Jpn. For. Soc. 81: 280-285. [In Japanese with English summary.]
44. Weeden, N.F., and Wendel, J.F. 1989. Genetics of plant isozymes. In Isozymes in plant biology. Edited by D.E. Soltis and P.S. Soltis. Dioscorides Press, Portland, Ore. pp. 46-72.
45. Wendel, J.F, and Weeden, N.F. 1989. Visualization and interpretation of plant isozymes. In Isozymes in plant biology. Edited by D.E. Soltis and P.S. Slotis. Dioscorides Press, Portland, Ore. pp. 5-45.
46. Wright, S. 1943. Isolation by distance. Genetics, 28: 114-138.
47. Yamamoto, S. 1989. Gap dynamics in climax Fagus crenata forests. Bot. Mag. Tokyo, 102: 93-114.
48. Yamamoto, S. 1994. Gap regeneration in primary evergreen broad-leaved forests with or without a major canopy tree, Distylium racemosum, southwestern Japan: a comparative analysis. Ecol. Res. 9: 295-302.
49. Young, A.G., and Merriam, H.G. 1994. Effects of forest fragmentation on the spatial genetic structure of Acer saccharum Marsh, (sugar maple) populations. Heredity, 72: 201-208.