Open Access
ARTICLE
Evaluation on genetic relationships among China’s endemic Curcuma L. herbs by mtDNA
Deng JB1,2*, G Gao3, KS Ahmad4, XQ Luo1,2, FT Zhang1,2, S Li1,2, RW Yang5
1 School of Geography and Tourism, Guizhou Education University, Guiyang, China.
2 Institute of Resources, Environment and Disasters, Guizhou Education University, Guiyang, China.
3 Life Science and Food Engineering College, Yibin University, Yibin, China.
4 Department of Botany, University of Pooch Rawalakot, 12350, AJK, Pakistan.
5 College of Science, Sichuan Agricultural University, Yaan, China.
Address correspondence to: Dr. Jiabin Deng. School of Geography and Tourism, Guizhou Education University, Guiyang, China. e-mail:
Phyton-International Journal of Experimental Botany 2018, 87(all), 156-161. https://doi.org/10.32604/phyton.2018.87.156
Abstract
Six mitochondrial (mtDNA) markers, cox2, ccmFn,
ccb256, cox3, Nad4L-orf25, and atp4, were combined to assess genetic
relationships by using Maximum Likelihood (ML) and Maximum
parsimony (MP). This was done among nine Chinese
Curcuma
herbal species, included two rare species which are difficult to
distinguish from their morphological characters. The relationships
are very close among the nine species, and the overall distance was
0.018. In this study, the backbone of such nine species was achieved
firstly to date, and being divided into two groups with moderate to
strong bootstrap support. Both the ML and MP tree were obtained
with similarity topologies of the same group except for partial divergences
of deep relationships. The highlights is that
Curcuma genus
was divided into two strong supported groups in the ML tree,
Group I ([[C.
kwangsiensis, C.
phaeocaulis], [C.
chuanhuangjiang, C.
aromatica], C.
yunnanensis]) with 89 BS (bootstrap) support, Group
II ([[[C.
longa, C.
sichuanensis], C.
amarissima], C.
wenyujin]) with
98 BS support.
Keywords
Cite This Article
JB, D., Gao, G., Ahmad, K., Luo, X., Zhang, F. et al. (2018). Evaluation on genetic relationships among China’s endemic
Curcuma L. herbs by mtDNA.
Phyton-International Journal of Experimental Botany, 87(all), 156–161. https://doi.org/10.32604/phyton.2018.87.156
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