AOBPreview published online on December 12, 2002
Annals of Botany, doi:10.1093/aob/mcg018
© 2002 by Annals of Botany Company
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Submitted on March 7, 2002
Affiliation of the authors:
1 South China Institute of Botany, Academia Sinica, Guangzhou 510650, People's Republic of China; Wuhan Institute of Botany, Academia Sinica, Wuhan 430074, People's Republic of China;
2 Key Laboratory of Gene Engineering of Ministry of Education, School of Life Sciences, Zhongshan University, Guangzhou 510275, People's Republic of China;
3 South China Institute of Botany, Academia Sinica, Guangzhou 510650, People's Republic of China;
4 Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Biodiversity Science, Fudan University, Shanghai 200433, People's Republic of China
* To whom correspondence should be addressed. E-mail: yangzhong{at}fudan.edu.cn.
Genetic diversity was investigated in 60 individuals of Primula obconica from four natural populations (from Hubei, central China, and Sichuan, south-west China) and from cultivated material. Inter-simple sequence repeat (ISSR) techniques produced 249 polymorphic bands and identified 60 ISSR genotypes. Based on Shannon's index and Nei's genetic diversity, the genetic diversity detected in all natural populations of P. obconica was much higher than that in the cultivated plants, and that in the three Dalaoling (Hubei) populations was higher than that in the Wawushan (Sichuan) population. UPGMA cluster analysis showed that there was no distinct genetic differentiation between populations from the Mt Dalaoling area and the Mt Wawushan area. This study provides a population-level genetic profile of P. obconica, which was previously poorly known but which is important for Primula breeding and cultivation.
Revised on August 24, 2002
Accepted on October 26, 2002
Genetic Diversity in Primula obconica (Primulaceae) from Central and South-west China as Revealed by ISSR Markers
PENG NAN1,
Key words: Primula obconica, genetic diversity, ISSR, genotype, cluster analysis, China.
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