Journal of Plant Research

, Volume 124, Issue 2, pp 253–263 | Cite as

Homogeneous genetic structure and variation in tree architecture of Larix kaempferi along altitudinal gradients on Mt. Fuji

Regular Paper

Abstract

Variations in tree architecture and in the genetic structure of Larix kaempferi on Mt. Fuji were surveyed along altitudinal gradients using 11 nSSR loci. In total, 249 individuals from six populations along three trails at altitudes ranging from approximately 1,300 to 2,700 m were investigated. Gradual changes in tree architecture with increasing elevation, from erect trees to flag trees and krummholz mats, were observed in the high-altitude populations (>2,000 m) on all trails. These findings suggest that tree architecture is correlated with the severe environmental conditions associated with increasing elevation, such as strong winds. In contrast to obvious variations in tree architecture, the genetic diversity of populations along the trails was almost uniform (H E = 0.717–0.762) across the altitudinal range. The results of the AMOVA and STRUCTURE analyses, and the analysis for isolation by distance pattern, suggest homogeneous genetic structuring across all populations on Mt. Fuji, while the pairwise F ST showed barriers to gene flow between altitudinal populations that were demarcated as high- or low-altitude populations by Abies-Tsuga forest. Although the evergreen coniferous forests on the mountainside may hinder gene flow, this may be explained by the long-distance seed dispersal of the Japanese larch and/or a short population history resulting from eruptions or slush avalanches, although evergreen coniferous forests on the mountainside may hinder gene flow.

Keywords

Gene flow Genetic diversity Japanese larch Larix kaempferii Mt. Fuji 

Notes

Acknowledgments

We are grateful to H. Ikeda, Y. Mitsui, K. Sugahara, H. Higashi, T. Otsuki, and Y. Umetsu of Kyoto University for providing advice and assistance. We also thank the Ministry of the Environment, Japan, the prefectural governments of Yamanashi and Shizuoka, and the forestry management associations of Narusawamura and Fujiyoshida for providing research permission. This study was supported by a Grant-in-Aid for Scientific Research (no. 19570085).

Supplementary material

10265_2010_370_MOESM1_ESM.doc (90 kb)
Electronic Supplementary Material 1. Genetic variation among populations, trails, altitudinal groups and phenotypic groups (DOC 90 kb)
10265_2010_370_MOESM2_ESM.doc (255 kb)
Electronic Supplementary Material 2. Correlation between genetic distance (individuals) and natural logarithm of horizontal distance and vertical distance on Mt. Fuji and each trail (Shoji trail, Yoshida trail, Subashiri trail). Genetic distance between individuals was calculated based on Nei et al. (1983) (DOC 255 kb)
10265_2010_370_MOESM3_ESM.tiff.
Electronic Supplementary Material 3. Distribution of likelihood values Ln(K) from STRUCTURE analysis. All estimated values from 10 replicates in each K were plotted in Ln(K) (TIFF 4737 kb)

References

  1. Alden J, Loopstra C (1987) Genetic diversity and population structure of Picea glauca on an altitudinal gradient in interior Alaska. Can J For Res 17:1519–1526CrossRefGoogle Scholar
  2. Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15Google Scholar
  3. Endo M, Yamamura Y, Tanaka A, Nakano T, Yasuda T (2008) Nurse-plant effect of a dwarf shrub on the establishment of tree seedling in a volcanic desert on Mt. Fuji, central Japan. Arct Antarct Alp Res 40:335–342CrossRefGoogle Scholar
  4. Excoffier L, Laval G, Schineider S (2005) Alrequin ver. 3.0: an investigated software package for population genetics data and analysis. Evol Bioform Online 1:47–50Google Scholar
  5. Goudet J (1995) Fstat version 1.2: a computer program to calculate F statistics. J Heredity 86:485–486Google Scholar
  6. Hadley JL, Smith WK (1986) Wind effect on the needles of timberline conifers: seasonal influence on mortality. Ecology 67:12–19CrossRefGoogle Scholar
  7. Hadley JL, Smith WK (1987) Influence of krummholz mat microclimate on needle physiology and survival. Oecologia 73:82–90CrossRefGoogle Scholar
  8. Hedrick PW (2005) A standardized genetic differentiation measure. Evolution 59:1633–1638PubMedGoogle Scholar
  9. Hubisz M, Falush D, Stephens M, Pritchard J (2009) Inferring weak population structure with the assistance of sample group information. Mol Ecol Resour 9:1322–1332CrossRefGoogle Scholar
  10. Isoda K, Watanabe A (2006) Isolation and characterization of microsatellite loci from Larix kaempferi. Mol Ecol Notes 6:664–666CrossRefGoogle Scholar
  11. Ito M, Kaneko T, Yamazaki S, Yokoyama T, Saito M (1979) The relation between the period of pollen shedding and appropriate period for pollination of female strobii in the seed orchard of larix leptolepis (in Japanese). Jap For Soc 61:31–34Google Scholar
  12. Kajimoto T (1995) Ecological characteristics of Pinus pumila with special reference to dry matter production and regeneration (in Japanese with English summary). Jap J Ecol 45:57–72Google Scholar
  13. Langella O (2007) Population 1.2.30: population genetic software (individuals or populations distances, phylogenetic trees). http://bioinformatics.org/~tryphon/populations/
  14. Mantel N (1967) The detection of disease clustering and a generalized regression approach. Cancer Res 27:209–220PubMedGoogle Scholar
  15. Maruta E (1996) Winter water relations of tree-line plant species on Mt. Fuji. Trees 11:119–126Google Scholar
  16. Maruta E, Masuyama K (2009) Elevation mechanism of timberline ecotone on the southern slope of Mt. Fuji (in Japanese). Mt Fuji Res 3:1–12Google Scholar
  17. Miyaji N (1988) History of younger Fuji volcano (in Japanese with English summary). J Geol Soc Jap 94:433–452Google Scholar
  18. Mousadik EI, Petit RJ (1996) High level of genetic differentiation for allelic richness among populations of the argan tree (Argania spinosa (L.) Skeels) endemic to. Morocco. Theor Appl Genet 92:832–839CrossRefGoogle Scholar
  19. Nakamura T (1985) Forest succession in the subalpine region of Mt. Fuji, in Japan. Vegetation 64:15–27CrossRefGoogle Scholar
  20. Nei M (1987) Molecular evolutionary genetics. Columbia University Press, New YorkGoogle Scholar
  21. Nei M, Tajima F, Tateno Y (1983) Accuracy of estimated phylogenic trees from molecular data. J Mol Evol 19:153–170CrossRefPubMedGoogle Scholar
  22. Ohsawa M (1984) Differentiation of vegetation zones and species strategies in the subalpine region of Mt. Fuji. Vegetation 57:15–52CrossRefGoogle Scholar
  23. Ohsawa T, Ide Y (2008) Global patterns of genetic variation in plant species along vertical and horizontal gradients on mountain. Global Ecol Biogeogr 17:152–163CrossRefGoogle Scholar
  24. Oka S (1980) On the deformation of larches on Mt. Fuji and their casual factors (in Japanese with English summary). J Geogr 89:97–112Google Scholar
  25. Okitsu S (1985) Consideration of vegetationalzonation based on the establishment process of a Pinus pumilia zone in the Hokkaido, northern Japan (in Japanese with English summary). Jap J Ecol 35:113–121Google Scholar
  26. Okitsu S (2002) Ecology of boreal vegetation of north-eastern Eurasia. Kokon Shoin, TokyoGoogle Scholar
  27. Oyama K, Ito M, Yahara T, Ono M (1993) Low genetic differentiation among population of Arabis serrata (Brassicaseae) along altitudinal gradient. J Plant Res 106:143–148CrossRefGoogle Scholar
  28. Peakall R, Smouse PE (2006) GENALEX 6: Genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295CrossRefGoogle Scholar
  29. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959PubMedGoogle Scholar
  30. Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Heredity 86:248–249Google Scholar
  31. Setoguchi H, Ohba H (1995) Phylogenetic relationships in Crossostylis (Rhizophoraceae) inferred from restriction site variation of chloroplast DNA. J Plant Res 108:87–92CrossRefGoogle Scholar
  32. Shimono Y, Watanabe M, Hirao AS, Wada N, Kudo G (2009) Morphologial and genetic variations of Potentilla matsumurae (Rosaceae) between fellfield and snowbed populations. Amer J Bot 96:728–737CrossRefGoogle Scholar
  33. Takanashi K, Nashimoto K (1980) Changes in the vegetation of a Larix leptolepis-Abies veitiiforest following mud-flow a deposits (in Japanese with English summary). J Jpn For Soc 62:73–81Google Scholar
  34. Tanaka A, Yamamura Y, Nakano T (2008) Effects of forest-floor avalanche disturbance on the structure and dynamics of a subalpine forest near the forest limit on Mt. Fuji. Ecol Res 23:73–81CrossRefGoogle Scholar
  35. Throung C, Palmé AE, Felber F (2007) Recent invasion of the mountain birch Betula pubscens ssp. tortuosa above the tree line due to climate change: genetic and ecological study in the northern Sweden. J Evol Biol 20:369–380CrossRefGoogle Scholar
  36. van Oosterhout C, Hutchinson WF, Wills DP, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538CrossRefGoogle Scholar
  37. Wright S (1943) Isolation by distance. Genetics 28:114–138PubMedGoogle Scholar
  38. Yura H (1988) Comparative ecophysiology of Larix kaempferi (Lamb) Carr. and Abies veitii Lindl. 1. Seedling establishment on bare ground on Mt. Fuji. Ecol Res 3:67–73CrossRefGoogle Scholar
  39. Yura H (1989) Comparative ecophysiology of Larix kaempferi (Lamb) Carr. and Abies veitii Lindl. II. Mechanisms of higher drought resistance of seedling of L. kaempferi as compared with A. veitii. Ecol Res 4:351–360CrossRefGoogle Scholar

Copyright information

© The Botanical Society of Japan and Springer 2010

Authors and Affiliations

  1. 1.Graduate School of Human and Environmental StudiesKyoto UniversityKyotoJapan

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