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한국식물학회 / v.51, no.4, 2008년, pp.260-268 
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( Conservation Genetics of Endangered Brasenia schreberi Based on RAPD and AFLP Markers ) |
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| 초 록 |
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| Brasenia schreberi J.F. Gmelin is a declared endangered species found in the lakes and ponds of South Korea. For planning its conservation strategy, we examined the genetic diversity within and among six populations, using randomly amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP). Polymorph isms were more frequently detected per loci with AFLP (69.3%) than RAPD (36.8%). High genetic diversity was recognized within populations: polymorphic loci (PPL) values ranged from 36.3% in the CJM population to 74.5% in the GGT population, with a mean value of 47.8% based on AFLP markers. Great genetic differentiation (${ heta}^B$) was detected among the six populations (0.670 on RAPD and 0.196 on AFLP), and we calculated a low rate of gene flow ($N_em$), i.e., 0.116 on RAPD and 0.977 on AFLP. Furthermore, a Mantel test revealed that no correlation existed between genetic distances and geographical distances among the six local populations, based on RAPD or AFLP markers. These results are attributed to a number of factors, including an insufficient length of time for genetic diversity to be reduced following a natural decline in population size and isolation, adaptation of the genetic system to small population conditions, and a restricted gene flow rate. Based on both its genetic diversity and population structure, we suggest that a strategy for conserving and restoring B. schreberi must focus on maintaining historical processes, such as high levels of outbreeding, while monitoring increased gene flow among populations. This is because a reduction in genetic diversity as a result of genetic drift is undesirable. |
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| 키워드 |
| AFLP;Brasenia schreberi;Conservation;Endangered species;Genetic diversity;RAPD; |
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Journal of Plant Biology / v.51, no.4, 2008년, pp.260-268
한국식물학회
ISSN : 1226-9239
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200828837395146)
언어 : 영어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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