Zhaohui Zhang^1,2* , Dandan Xi^2* , Jie Zhao³ , Xiaofeng Li² , Lu Gao² , Chunhong Chen¹ , Yuying Zhu² , Hongfang Zhu²

1 Zhuanghang Comprehensive Experiment Station, Shanghai Academy of Agricultural Sciences, Shanghai, China
2 Horticultural Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
3 Shanghai Pudong New District Agro-Technology Extension Center, Shanghai, China
* These authors contributed equally to this work
Author    Correspondence author
Molecular Plant Breeding, 2021, Vol. 12, No. 22   doi: 10.5376/mpb.2021.12.0022
Received: 29 Apr., 2021    Accepted: 08 Jun., 2021    Published: 16 Jul., 2021

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhang Z.H., Xi D.D., Zhao J., Li X.F., Gao L., Chen C.H., Zhu Y.Y., and Zhu H.F., 2021, The complete chloroplast genome of a variety of Lagenaria siceraria var. microcarpa (Naud.) Hara, Molecular Plant Breeding, 12(22): 1-4 (doi: 10.5376/mpb.2021.12.0022)

Small gourd (Lagenaria siceraria var. microcarpa (Naud.) Hara), a cultivar of Lagenaria family, is an important medicinal and ornamental plants. However, there are few studies on its chloroplast (cp) genome. In this study, we characterized its complete chloroplast (cp) genome with high throughput sequencing. The circular cp genome is determined to be 157, 121 bp in length, with a long sing-copy and a small sing-copy separated by a pair of inverted repeat regions. A total of 132 genes were annotated, including 86 protein-coding genes, 37 tRNA genes, 8 rRNA genes, and 1 pseudo gene. The overall GC content of cp genome was 37.09%. The maximum likelihood tree suggested that small gourd was closely related to Lagenaria siceraria. These results provided an understanding of small gourd cp genome and might be useful for future genetic studies.

Lagenaria siceraria var. microcarpa (Naud.) Hara; Chloroplast genome; Phylogenetic analysis