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The genetic diversity of the mangrove Kandelia obovata in China revealed by ISSR analysis.
Author(s):
1. Shao-Bo Chen: College of Oceanography and Environmental Science, Xiamen University, Xiamen 361005, Fujian, China
2. Jiao-Fei Chen: School of Life Sciences, Wenzhou Medical College, Wenzhou 325035, Zhejiang, China
3. Wei-Ming Ai: School of Life Sciences, Wenzhou Medical College, Wenzhou 325035, Zhejiang, China
4. Wen-Yong Ding: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
5. Jian-Biao Qiu: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
6. Guang-Yin Wang: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
7. Zhi-Min Zhou: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
8. Cheng-Yi Wang: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
9. Qi-Lang Xie: Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-resource, Wenzhou, Zhejiang, China
Abstract:
The genetic diversity of 7 populations of Kandelia obovata in China was characterized using inter simple sequence repeats (ISSR) technique. A total of 50 primers were screened, of which 9 polymorphic and informative patterns were selected to determine genetic relationships. ISSR amplification was conducted on 140 individuals from 7 populations, and 88 polymorphic loci were detected from 106 total loci. The total percentage of polymorphic loci (PPL) was 83.02%. The percentage of PPL at the population level ranged from 32.08% to 47.17%, with an average of 39.89%. Nei’s gene diversity (H) and Shannon’s information index (I) of K. obovata at the species level were 0.3631 and 0.5203, respectively. The genetic differentiation coefficient (Gst) among populations was 0.5548. Among populations component accounted for 55.48% of the total variation, whereas the within populations component accounted for 44.52%, suggesting that genetic differentiation among K. obovata populations was relatively high. The gene flow among populations was 0.4012, indicating that gene flow was low among geographically diverse populations of K. obovata. The results of the genetic diversity and cluster analysis suggest that geographical isolation of K. obovata populations mainly results in low gene flow and random genetic drift, leading to genetic differentiation.
Page(s): 3755-3764
DOI: DOI not available
Published: Journal: Pakistan Journal of Botany, Volume: 42, Issue: 6, Year: 2010
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