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Population Genetic Structure and Phylogeography of Camellia flavida (Theaceae) Based on Chloroplast and Nuclear DNA Sequences

Overview of attention for article published in Frontiers in Plant Science, May 2017
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Title
Population Genetic Structure and Phylogeography of Camellia flavida (Theaceae) Based on Chloroplast and Nuclear DNA Sequences
Published in
Frontiers in Plant Science, May 2017
DOI 10.3389/fpls.2017.00718
Pubmed ID
Authors

Su-Juan Wei, Yong-Bin Lu, Quan-Qing Ye, Shao-Qing Tang

Abstract

Camellia flavida is an endangered species of yellow camellia growing in limestone mountains in southwest China. The current classification of C. flavida into two varieties, var. flavida and var. patens, is controversial. We conducted a genetic analysis of C. flavida to determine its taxonomic structure. A total of 188 individual plants from 20 populations across the entire distribution range in southwest China were analyzed using two DNA fragments: a chloroplast DNA fragment from the small single copy region and a single-copy nuclear gene called phenylalanine ammonia-lyase (PAL). Sequences from both chloroplast and nuclear DNA were highly diverse; with high levels of genetic differentiation and restricted gene flow. This result can be attributed to the high habitat heterogeneity in limestone karst, which isolates C. flavida populations from each other. Our nuclear DNA results demonstrate that there are three differentiated groups within C. flavida: var. flavida 1, var. flavida 2, and var. patens. These genetic groupings are consistent with the morphological characteristics of the plants. We suggest that the samples included in this study constitute three taxa and the var. flavida 2 group is the genuine C. flavida. The three groups should be recognized as three management units for conservation concerns.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Other 3 9%
Student > Master 3 9%
Student > Ph. D. Student 2 6%
Unspecified 2 6%
Other 3 9%
Unknown 13 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Biochemistry, Genetics and Molecular Biology 5 16%
Unspecified 2 6%
Environmental Science 2 6%
Mathematics 1 3%
Other 1 3%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2017.
All research outputs
#20,427,593
of 22,979,862 outputs
Outputs from Frontiers in Plant Science
#16,324
of 20,425 outputs
Outputs of similar age
#272,318
of 312,899 outputs
Outputs of similar age from Frontiers in Plant Science
#520
of 607 outputs
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