Literature DB >> 15546928

Genetic structure of the endangered plant Neolitsea sericea (Lauraceae) from the Zhoushan archipelago using RAPD markers.

Zhong-Sheng Wang1, Shu-Qing An, Hong Liu, Xin Leng, Jian-Wei Zheng, Yu-Hong Liu.   

Abstract

BACKGROUND AND AIMS: The Zhoushan archipelago is the largest archipelago in China. It separated from the mainland about 9000 years ago due to rising sea levels and climate change. Because of the long-term influences of human activities, the original forest vegetation on the large islands has been badly damaged and its plant diversity reduced.
METHODS: Levels and patterns of genetic diversity in 114 individuals from six natural populations and four cultivated populations of the insular endangered plant Neolitsea sericea (Lauraceae) on the Zhoushan archipelago were assessed using random amplified polymorphic DNA (RAPD) markers. KEY
RESULTS: A total of 99 discernible loci were obtained for all populations using ten primers, 50.5 % of which were polymorphic [percentage of polymorphic bands (PPB)=50.5 %]. Despite being a woody, long-lived, perennial, outcrossing and insect-pollinated plant, N. sericea exhibited low levels of genetic variation. The cultivated populations (PPB=18.9 %, HE=0.060, S=0.092) were genetically less diverse than the natural populations (PPB=23.1 %, HE=0.082, S=0.123). Based on analysis of molecular variance, a high degree of among-population differentiation was revealed for both natural (0.387) and cultivated populations (0.598).
CONCLUSIONS: Removal of plants from the wild for horticulture purposes has eroded the level of genetic variation of N. sericea. Low levels of genetic diversity and a high degree of population differentiation indicate that management strategies should include conservation of natural habitats occupied by all six wild populations, and sampling of germplasm resources from multiple seed sources.

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Year:  2004        PMID: 15546928      PMCID: PMC4246830          DOI: 10.1093/aob/mci027

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


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