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Genetic diversity and population structure of Eplingiella species (Lamiaceae) using ISSR markers

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Abstract

The present study evaluated the population structure and genetic diversity using inter simple sequence repeat (ISSR) markers in 18 natural populations belonging to three species of Eplingiella (E. cuniloides, E. fruticosa and E. brightoniae), found growing naturally in the semiarid region of Northeast Brazil. Samples of 265 plants were analyzed using nine primer combinations, which generated 131 informative bands. Eplingiella spp. populations showed moderate genetic diversity (percentage of polymorphic bands, PPB = 75.6–96.9%, Nei's genetic diversity He = 0.31–0.39, Shannon's information index I = 0.33–0.48). Molecular variance analysis revealed that within populations, variations contributed more (74%) to the genetic diversity than between population variations (26%), with percentage of the genetic differentiation coefficient (GST = 0.29). The mean value of FST was 0.175, demonstrating good differentiation between populations. The analysis of the structure by the Bayesian method revealed the formation of two groups (K = 2), with many migrant individuals and a high level of miscegenation. The hierarchical cluster dendrogram grouped the 18 populations into two major clusters, with good support for the main clades (100%). According to principal component analysis, the two main principal components explained 21.06% of the total variation. The ISSR markers used were effective in identifying the variability of natural populations of Eplingiella spp., and population structure demonstrated recent diversification of species. The results shed more light on the genetic variation and evolutionary dynamics of Eplingiella, helping to formulate effective breeding strategies.

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Abbreviations

ISSR:

Inter simple sequence repeat

PPB:

Percentage of polymorphic bands

He:

Nei's genetic diversity

I:

Shannon's information index

NPb:

Number of polymorphic bands

G ST :

Genetic differentiation coefficient

F ST :

Wright’s genetic differentiation coefficient between populations

PCA:

Principal component analysis

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Acknowledgements

The authors thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for financial support (001) and for the postdoctoral research grant given to the fifth (PNPD/UEFS 15950830814). We also thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support.

Funding

This research was supported by Grant from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (PNPD/UEFS 15950830814).

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Authors and Affiliations

  1. Universidade Estadual de Feira de Santana, Av. Transnordestina, s/n, Novo Horizonte, Feira de Santana, BA, 44036-900, Brazil

    Anderson de Carvalho Silva, Lenaldo Muniz de Oliveira, Cassio van den Berg & Taliane Leila Soares

  2. Universidade Federal de Santa Catarina, Rua Eng. Agronômico Andrei Cristian Ferreira, s/n, Trindade, Florianópolis, SC, 88040-900, Brazil

    José Floriano Barêa Pastore

  3. Universidade Federal do Recôncavo da Bahia, Rua Rui Barbosa, 710, Cruz das Almas, BA, 44380-000, Brazil

    Everton Hilo de Souza

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  1. Anderson de Carvalho Silva
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  2. Lenaldo Muniz de Oliveira
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  3. José Floriano Barêa Pastore
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  4. Cassio van den Berg
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Contributions

AS: Conceptualization, Methodology, Investigation, Data curation, Writing-Original draft preparation; LO: Conceptualization, Investigation, Methodology, Resources, Data curation, Writing—original draft, Writing—review & editing, Supervision, Funding acquisition; JFBP: Conceptualization, Formal analysis, Data curation, Writing—original draft, Supervision; CvdB: Conceptualization, Resources, Methodology, Data curation, Formal analysis, Writing—original draft, Supervision; TS: Conceptualization, Visualization, Formal analysis, Writing—review & editing; ES: Visualization, Writing—review & editing.

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Correspondence to Taliane Leila Soares.

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Silva, A.d., de Oliveira, L.M., Pastore, J.F.B. et al. Genetic diversity and population structure of Eplingiella species (Lamiaceae) using ISSR markers. Genet Resour Crop Evol 70, 2801–2813 (2023). https://doi.org/10.1007/s10722-023-01607-7

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