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Feng S, Jiao K, Zhang Z, Yang S, Gao Y, Jin Y, Shen C, Lu J, Zhan X, Wang H. Development of Chloroplast Microsatellite Markers and Evaluation of Genetic Diversity and Population Structure of Cutleaf Groundcherry ( Physalis angulata L.) in China. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12091755. [PMID: 37176816 PMCID: PMC10180938 DOI: 10.3390/plants12091755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/14/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023]
Abstract
Cutleaf groundcherry (Physalis angulata L.), an annual plant containing a variety of active ingredients, has great medicinal value. However, studies on the genetic diversity and population structure of P. angulata are limited. In this study, we developed chloroplast microsatellite (cpSSR) markers and applied them to evaluate the genetic diversity and population structure of P. angulata. A total of 57 cpSSRs were identified from the chloroplast genome of P. angulata. Among all cpSSR loci, mononucleotide markers were the most abundant (68.24%), followed by tetranucleotide (12.28%), dinucleotide (10.53%), and trinucleotide (8.77%) markers. In total, 30 newly developed cpSSR markers with rich polymorphism and good stability were selected for further genetic diversity and population structure analyses. These cpSSRs amplified a total of 156 alleles, 132 (84.62%) of which were polymorphic. The percentage of polymorphic alleles and the average polymorphic information content (PIC) value of the cpSSRs were 81.29% and 0.830, respectively. Population genetic diversity analysis indicated that the average observed number of alleles (Na), number of effective alleles (He), Nei's gene diversity (h), and Shannon information indices (I) of 16 P. angulata populations were 1.3161, 1.1754, 0.1023, and 0.1538, respectively. Moreover, unweighted group arithmetic mean, neighbor-joining, principal coordinate, and STRUCTURE analyses indicated that 203 P. angulata individuals from 16 populations were grouped into four clusters. A molecular variance analysis (AMOVA) illustrated the considerable genetic variation among populations, while the gene flow (Nm) value (0.2324) indicated a low level of gene flow among populations. Our study not only provided a batch of efficient genetic markers for research on P. angulata but also laid an important foundation for the protection and genetic breeding of P. angulata resources.
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Affiliation(s)
- Shangguo Feng
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Kaili Jiao
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Zhenhao Zhang
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Sai Yang
- Orient Science & Technology College, Hunan Agricultural University, Changsha 410128, China
| | - Yadi Gao
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Yanyun Jin
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Chenjia Shen
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Jiangjie Lu
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Xiaori Zhan
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
| | - Huizhong Wang
- College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China
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