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Primulina cardaminifolia (Gesneriaceae), a rare new species from limestone areas in Guangxi, China

Overview of attention for article published in Botanical Studies, August 2013
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Title
Primulina cardaminifolia (Gesneriaceae), a rare new species from limestone areas in Guangxi, China
Published in
Botanical Studies, August 2013
DOI 10.1186/1999-3110-54-19
Pubmed ID
Authors

Wei-Bin Xu, Yan Liu, Yoshiko Kono, Hsuan Chang, Ching-I Peng, Kuo-Fang Chung

Abstract

Primulina cardaminifolia Yan Liu & W.B. Xu (Gesneriaceae), a distinct new species with imparipinnate leaves, is described and illustrated from a limestone valley in Guangxi Zhuangzu Autonomous Region, China. To assure its generic placement and phylogenetic affinity, phylogenetic analyses were performed using DNA sequences of nuclear ITS and chloroplast trnL-F intron spacer region. Additionally, somatic chromosome number was counted and pollen stainability was tested. Phylogenetic analyses support its placement in Primulina; however, two phylogenetically distinct ITS sequence types were detected, suggesting a probable hybrid origin. Its pollen stainability is 100% and its chromosome number, 2n = 36, is congruent with all known counts of diploid species of the genus. All available data support the recognition of the new species Primulina cardaminifolia and suggest that it could have derived from homoploid hybrid speciation. Color plates, line drawings and a distribution map are provided to aid in identification.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 10%
Brazil 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Lecturer > Senior Lecturer 1 10%
Other 1 10%
Librarian 1 10%
Student > Ph. D. Student 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Unknown 4 40%