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http://dx.doi.org/10.1080/19768351003770889

Amplified fragment length polymorphism analysis and genetic variation of the pinewood nematode Bursaphelenchus xylophilus in South Korea  

Jung, Jong-Woo (Department of Science Education, Ewha Womans University)
Han, Hye-Rim (Division of Forest Insect Pests and Diseases, Korea Forest Research Institute)
Ryu, Sung-Hee (School of Biological Sciences, Seoul National University)
Kim, Won (School of Biological Sciences, Seoul National University)
Publication Information
Animal cells and systems / v.14, no.1, 2010 , pp. 31-36 More about this Journal
Abstract
The pinewood nematode Bursaphelenchus xylophilus causes pine wilt disease and is a serious economic concern for the forest industry of South Korea. To achieve effective control with limited resources, it is necessary to clarify the transmission routes and mechanisms of dispersal of this organism. Highly polymorphic and easy-to-use molecular markers can be used for investigating this aspect. In this study, we evaluated the usefulness of amplified fragment length polymorphisms (AFLPs) for investigating the genetic variations of B. xylophilus and related individuals from China, Japan, and South Korea. The AFLP patterns obtained in our study were similar to the microsatellite patterns reported in a previous study; our AFLP patterns indicated high genetic variability and cryptic genetic structure, but did not indicate any peculiar geographic structure. Moreover, the genetic distances between individuals suggested that the Korean population was affected to a greater extent by the Chinese population than the Japanese population. Further, the gene flow among the related species appeared to be limited; however, there may be also the possibility of genetic introgression among species. These results confirm the usefulness of AFLPs for understanding the epidemiology of pine wilt disease, thereby contributing to the effective control of this disease.
Keywords
AFLPs; pinewood nematode; Bursaphelenchus xylophilus; pine wilt disease;
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1 Ayoub SM. 1977. Plant nematology in agricultural training aid. Sacramento: Department of Food and Agriculture, Division of Plant Industry. p. 1-195.
2 Bensch S, Akesson M. 2005. Ten years of AFLP in ecology and evolution: why so few animals? Mol Ecol. 14: 2899-2914.   DOI   ScienceOn
3 Cheng XY, Cheng FX, Xu RM, Xie BY. 2008. Genetic variation in the invasive process of Bursaphelenchus xylophilus (Aphelenchida: Aphelenchoididae) and its possible spread routes in China. Heredity. 100:356-365.   DOI   ScienceOn
4 Duchesne P, Bernatchez L. 2002. AFLPOP: a computer program for simulated and real population allocation, based on AFLP data. Mol Ecol Notes. 2:380-383.   DOI   ScienceOn
5 Ehrich D. 2006. AFLPdata: a collection of R functions for convenient handling of AFLP data. Mol Ecol Notes. 6:603-604.   DOI   ScienceOn
6 Excoffier L, Laval G, Schneider S. 2005. Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evol Bioinform Online. 1:47-50.
7 Falush D, Stephens M, Pritchard JK. 2007. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol Ecol Notes. 7:574-578.   DOI   ScienceOn
8 Fisher MC, Viney ME. 1996. Microsatellites of the parasitic nematode Strongyloides ratti. Mol Biochem Parasit. 80:221-224.   DOI   ScienceOn
9 Jarne P, Lagoda PJL. 1996. Microsatellites, from molecules to populations and back. Trends Ecol Evol. 11:424-429.   DOI   ScienceOn
10 Jung J, Lee JW, Kim JP, Kim W. 2006. Genetic variations of the golden orb-web spider Nephila clavata (Araneae: Tetragnathidae) in Korea, using AFLP markers. Korean J Genet. 28:325-332.
11 Mamiya Y. 1988. History of pine wilt disease in Japan. J Nematol. 20:219-226.
12 Jung J, Han H, Ryu SH, Kim W. 2010. Microsatellite variation in the pinewood nematode, Bursaphelenchus xylophilus (Steiner and Buhrer) Nickle in South Korea. Genes Genom. 32: 147-154.
13 Kanzaki N, Futai K. 2002. A PCR primer set for determination of phylogenetic relationships of Bursaphelenchus species within the xylophilus group. Nematology. 4: 35-41.   DOI   ScienceOn
14 Meudt HM, Clarke AC. 2007. Almost forgotten or latest practice? AFLP applications, analyses and advances. Trends Plant Sci. 12:106-117.   DOI   ScienceOn
15 Tamura K, Dudley J, Nei M, Kumar S. 2007. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol. 24:1596-1599.   DOI   ScienceOn
16 Nickle WR. 1970. A taxonomic review of the genera of the Aphelenchoidea (Fuchs, 1937) Thorne, 1949 (Nematoda, Tylenchida). J Nematol. 2: 375-392.
17 Shin H, Han H. 2006. Current status on research and management of pine wilt disease in Korea. In: The international symposium of current status on research and management of pine wilt disease, Seoul, Korea, pp 31-44.
18 Steiner G, Buhrer EM. 1934. Aphelenchoides xylophilus n. sp., a nematode associated with blue-stain and other fungi in timber. J Agric Res. 48: 946-951.
19 Weir BS, Cockerham CC. 1984. Estimating F-statistics for the analysis of population structure. Evolution. 38: 1358-1370.   DOI   ScienceOn
20 Zhou Z, Sakaue D,Wu B, Hogetsu T. 2007. Genetic structure of populations of the pinewood nematode Bursaphelenchus xylophilus, the pathogen of pine wilt disease, between and within pine forests. Phytopathology. 97: 304-310.   DOI   ScienceOn