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Gavilan NH, de Freitas Morel LJ, da Silva Coppede J, Taleb-Contini SH, de Castro França S, Bertoni BW, Pereira AMS. Genetic diversity and verbascoside content in natural populations of Pyrostegia venusta (Ker Gawl.) Miers. Mol Biol Rep 2022; 49:8617-8625. [PMID: 35867291 DOI: 10.1007/s11033-022-07697-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 06/09/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Pyrostegia venusta (Ker Gawl.) Miers occurs in threatened biodiversity hotspots of Cerrado and Atlantic forest biomes in Brazil and is used in traditional medicine to treat various respiratory and skin diseases. METHODS AND RESULTS This study (i) examined the genetic diversity and structure of six natural populations of P. venusta from different Brazilian regions using sequence-related amplified polymorphism (SRAP) markers; and (ii) compared the intra- and inter-populational levels of the bioactive component verbascoside using high-performance liquid chromatography. The population from Nova Mutum, Mato Grosso, presented the highest genetic variability (Nei index H = 0.2759; Shannon index I = 0.4170; 85.14% polymorphic loci), whereas the population from Araxá, Minas Gerais, presented the lowest genetic variability (H = 0.1811; I = 0.2820; 70.27% polymorphic loci). The intra-populational variability (79%) was significantly higher (p = 0.001) than the inter-populational variability (21%). The populations were clustered into two groups but their genetic differentiation was not associated with geographical origin (Mantel test, r = 0.328; p > 0.05). The verbascoside content significantly differed (p > 0.05) among the six populations and between the individuals from each population. The highest verbascoside levels (> 200 µg/mg extract) were detected in populations from Araxá and Serrana, while the lowest verbacoside levels were detected in populations from Paranaíta and Sinop. CONCLUSIONS This is the first report on the use of SRAP markers to analyze genetic variability in the family Bignoniaceae. Our findings shall help to better understand the genetic and chemical diversity of P. venusta populations, as well as provide useful information to select the most appropriate individuals to prepare phytomedicines.
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Affiliation(s)
- Natália Helena Gavilan
- Departamento de Horticultura, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, São Paulo, 18618-970, Brazil
| | - Lucas Junqueira de Freitas Morel
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil
| | - Juliana da Silva Coppede
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil
| | - Silvia Helena Taleb-Contini
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil
| | - Suzelei de Castro França
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil
| | - Bianca Waléria Bertoni
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil.,Jardim Botânico de Plantas Medicinais Ordem e Progresso, Jardinópolis, São Paulo, 14680-000, Brazil
| | - Ana Maria Soares Pereira
- Departamento de Biotecnologia em Plantas Medicinais, Universidade de Ribeirão Preto-UNAERP, Ribeirão Preto, São Paulo, 14096-900, Brazil. .,Jardim Botânico de Plantas Medicinais Ordem e Progresso, Jardinópolis, São Paulo, 14680-000, Brazil.
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Aouadi M, Guenni K, Abdallah D, Louati M, Chatti K, Baraket G, Salhi Hannachi A. Conserved DNA-derived polymorphism, new markers for genetic diversity analysis of Tunisian Pistacia vera L. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2019; 25:1211-1223. [PMID: 31564783 PMCID: PMC6745585 DOI: 10.1007/s12298-019-00690-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/20/2019] [Accepted: 06/27/2019] [Indexed: 06/10/2023]
Abstract
Pistachio trees (Pistacia vera L.) have been cultivated in Tunisia for decades and the plantation was extended mostly in the center of the country contributing to the economic growth of marginalized areas. Herein we used conserved DNA derived polymorphism (CDDP) technique, which target specifically conserved sequences of plant functional genes, to assess the genetic diversity and construct genetic relationships among 65 Tunisian pistachio trees. A set of nine primers were used and 157 CDDP markers were revealed with an average of 17.44 showing a high degree of polymorphism (99.37%). The average of polymorphism information content of CDDP markers was of 0.86, which indicates the efficiency of CDDP primers in the estimation of genetic diversity between pistachios. UPGMA dendrogram and the principal component analysis showed four clusters of analyzed pistachios trees. Our results showed that the genetic structure depends on: (1) the gene exchanges between groups, (2) the geographical origin and (3) the sex of the tree. The same result was revealed by the Bayesian analysis implemented in STRUCTURE at K = 4, in which the pistachio genotypes of El Guettar, Kasserine and Sfax were assigned with more than 80% of probability. Our results prove polymorphism and efficiency of CDDP markers in the characterization and genetic diversity analysis of P. vera L. genotypes to define conservation strategy.
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Affiliation(s)
- Meriem Aouadi
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
| | - Karim Guenni
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
| | - Donia Abdallah
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
| | - Marwa Louati
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
| | - Khaled Chatti
- Laboratoire de Génétique, Biodiversité et Valorisation des Bioressources (LR11ES41), Institut Supérieur de Biotechnologie de Monastir, Université de Monastir, 5000 Monastir, Tunisia
| | - Ghada Baraket
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
| | - Amel Salhi Hannachi
- Laboratoire de Génétique Moléculaire, Immunologie et Biotechnologie (LR99ES12), Faculté des Sciences de Tunis, Université de Tunis El Manar, Campus Universitaire, 2092 Tunis, Tunisia
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