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Chaudhary V, Kumar M, Sharma S, Kumar N, Kumar V, Yadav HK, Sharma S, Sirohi U. Assessment of genetic diversity and population structure in gladiolus ( Gladiolus hybridus Hort.) by ISSR markers. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2018; 24:493-501. [PMID: 29692556 PMCID: PMC5911264 DOI: 10.1007/s12298-018-0519-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Revised: 10/31/2017] [Accepted: 02/05/2018] [Indexed: 06/08/2023]
Abstract
ISSR (Inter simple sequence repeat) markers were used to assess the genetic diversity and population structure in 53 indigenous and exotic genotypes of gladiolus (Gladiolus hybridus Hort.). Molecular markers analysis showed PIC ranges from 0.42 (ISSR 861) to 0.99 (ISSR 855, ISSR 856 and ISSR 889) with an average 0.812, marker index ranged from 0.99 (ISSR 889) to 9.26 (ISSR 851) with an average 4.66 and resolving power of the primers ranged from 0.03 (ISSR 889) to 11.58 (ISSR 861) with an average value 3.80. The dendrogram based UPGMA clustering showed that all the 53 genotypes grouped into three main clusters. Nei's gene diversity (Na) varied from 0.929 to 1.717, effective number of alleles (Ne) varied from 1.262 to 1.369, Shannon's information index (I) ranged from 0.251 to 0.359 and gene diversity (He) was in the range from 0.167 to 0.229. Population structure analysis revealed three groups in which 32 genotypes were admixture types.
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Affiliation(s)
| | - Mukesh Kumar
- Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, UP India
| | | | - Navneet Kumar
- Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, UP India
| | - Vipin Kumar
- Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, UP India
| | | | | | - Ujjwal Sirohi
- Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, UP India
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Li J, Wang DD, Xu XS, Bai L, Peng B, Pu YJ, Tian HL, Qin XM, Zhang FS, Ma CG. Utilization of UPLC/Q-TOF-MS-Based Metabolomics and AFLP-Based Marker-Assisted Selection to Facilitate/Assist Conventional Breeding of Polygala tenuifolia. Chem Biodivers 2017; 14. [PMID: 28608948 DOI: 10.1002/cbdv.201700163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 06/08/2017] [Indexed: 11/12/2022]
Abstract
As one of the most important traditional Chinese medicine, the quality of Polygala tenuifolia is difficult to control and a new method must be established to facilitate/assist the breeding of P. tenuifolia. In this study, UPLC/Q-TOF-MS-based metabolomics analysis was performed to determine the chemical composition and screen metabolite biomarkers according to agronomic traits. A total of 29 compounds and 18 metabolite biomarkers were found. AFLP-based marker-assisted selection (MAS) was used to identify molecular marker bands and screen characteristic bands associated with specific agronomic traits. 184 bands and 76 characteristic AFLP bands were found. The correlation network between compounds and characteristic AFLP bands was built, so we may directly breed certain P. tenuifolia herbs with special agronomic traits (or characteristic AFLP bands), which exhibit specific pharmacological functions depending on the content of the active compounds. The proposed method of metabolomics coupled with MAS could facilitate/assist the breeding of P. tenuifolia.
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Affiliation(s)
- Juan Li
- Pharmacy Department, Shanxi Pharmaceutical Vocational College, Taiyuan, 030031, P. R. China
| | - Dan-Dan Wang
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China.,College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, 030006, P. R. China
| | - Xiao-Shuang Xu
- School of Electrical and Information Engineering, Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou, 213001, P. R. China
| | - Lu Bai
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China.,College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, 030006, P. R. China
| | - Bing Peng
- Beijing Institute of Traditional Chinese Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, 100010, P. R. China
| | - Ya-Jie Pu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China.,College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, 030006, P. R. China
| | - Hong-Ling Tian
- Research Institute of Economics Crop, Shanxi Academy of Agriculture Science, Fenyang, 032200, P. R. China
| | - Xue-Mei Qin
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China
| | - Fu-Sheng Zhang
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, P. R. China
| | - Cun-Gen Ma
- Shanxi University of Traditional Chinese Medicine, Taiyuan, 030024, P. R. China
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