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- Title
Low genetic differentiation among altitudes in wild <italic>Camellia oleifera</italic>, a subtropical evergreen hexaploid plant.
- Authors
Huang, Xiaomao; Chen, Jiaming; Yang, Xiaoqiang; Duan, Shihua; Long, Chuan; Ge, Gang; Rong, Jun
- Abstract
<italic>Camellia oleifera</italic> is a subtropical evergreen plant. Cultivated <italic>C. oleifera</italic> is the most important woody oil crop in China. Wild <italic>C. oleifera</italic> is an essential genetic resource for breeding. The patterns of genetic differentiation among altitudes/latitudes in wild <italic>C. oleifera</italic> are still unknown. <italic>Camellia oleifera</italic> may be predominantly hexaploid. The characteristics of polyploidy may lead to considerable biases in estimates of genetic diversity and differentiation. Our study used <italic>C. oleifera</italic> as a case study for analysing genetic diversity, structure and differentiation in polyploid plants using simple sequence repeats (SSRs). Wild <italic>C. oleifera</italic> samples were collected at different altitudes on the Jinggang and Lu mountains of China. The ploidy levels were determined with flow cytometry analysis. Eight highly polymorphic SSRs were used to genotype the samples. Genetic diversity and structure were analysed. Various estimates of genetic differentiation were compared. The flow cytometry results indicated that wild <italic>C. oleifera</italic> samples were all hexaploid at various altitudes of the Jinggang and Lu mountains. High levels of genetic diversity were found on both the Jinggang and Lu mountains. Genetic structure analyses indicated clear genetic differentiation between the Jinggang and Lu mountains and lower genetic differentiation among altitudes within each mountain. Classical genetic differentiation estimates of <italic>F</italic>st failed to discriminate genetic differentiation between and within mountains. The <italic>Rho</italic> statistic showed a moderate level of genetic differentiation between mountains and lower levels of genetic differentiation within each mountain. Our study demonstrates that <italic>Rho</italic> is the statistic of choice for estimating genetic differentiation in polyploids.
- Subjects
CAMELLIA oleifera; GENETIC polymorphisms in plants; LATITUDE of spatial variation; PHYTOGEOGRAPHY; POLYPLOIDY
- Publication
Tree Genetics & Genomes, 2018, Vol 14, Issue 2, p0
- ISSN
1614-2942
- Publication type
Article
- DOI
10.1007/s11295-018-1234-4