Genetic structure and gene flow of eugenia involucrata DC. populations and collections from Rio Grande do Sul, Brazil
DOI:
https://doi.org/10.37002/biodiversidadebrasileira.v12i2.2012Keywords:
Forest genetic resource, genetic variability, germplasm conservation, molecular markersAbstract
Eugenia involucrata DC. is a Brazilian tree species with economic potential. However, informations on the distribution of its genetic variability are scarce. This knowledge is fundamental knowledge for planning a genetic conservation program. This study aimed to evaluate the genetic structure and gene flow in accessions of E. involucrata by using RAPD markers. Samples were collected from three in situ populations and two ex situ collections located in the Brazilian state of Rio Grande do Sul. Eight Random Amplified Polymorphic DNA (RAPD) primers were used to access the genetic variability. Sixty bands were generated of which 56 were polymorphic. There is low gene flow among the populations (Nm values ranged from 0.2752 to 1.384) which resulted in very high levels of genetic differentiation (FST values ranged from 0.153 to 0.476). The analysis of molecular variance (AMOVA) revealed that the five studied populations/collections are structured in two main groups, and the in situ populations have more genetic diversity (He values ranged from 0.19 to 0.24) in relation to ex situ collections (He values ranged from 0.08 to 0.10). These results will contribute to the advance of conservation programs for the species.
References
Aguiar RV, et al. Variabilidade genética de Eugenia uniflora L. em remanescentes florestais em diferentes estádios sucessionais. Revista Ceres, 60 (2), 226-233, 2013.
Ali BA, Huang T-H, Qin D-N, Wang X-M. A review of random amplified polymorphic DNA (RAPD) markers in fish research. Reviews in Fish Biology and Fisheries, 14: 443-453, 2004.
Boef W S, Thijssen MH, Ogliari JB, Sthapit BR. Biodiversidade e agricultores: fortalecendo o manejo comunitário. Porto Alegre: L&PM, p.45-52, 2007.
Botrel RT, Rodrigues LA, Gomes LJ, Carvalho DA, Fontes MAL. Uso da vegetação nativa pela população local no município de Ingaí, MG, Brasil. Acta Botanica Brasilica, 20(1): 143-56, 2006.
Budke JC, Athayde EA, Giehl ELH, Záchia RA, Eisinger, SM. Composição florística e estratégias de dispersão de espécies lenhosas em uma floresta ribeirinha, arroio Passo das Tropas, Santa Maria, RS, Brasil. IHERINGIA, Série Botânica, 60(1): 17-24, 2005.
Brunchault RV, Soulange JG, Sanmukhiya VMR, Sevathian JC. Molecular and bioactive profiling of selected Eugenia species from Mauritius Island. International Journal of Plant Biology, 5(1): 4728, 2014.
Carvalho PE. 2008. Espécies arbóreas brasileiras, 1st ed., Brasília: Embrapa Informação Tecnológicas; Colombo: Embrapa Florestas, v.3, 593p.
Costa TS, Silva AVC, Lédo AS, Santos ARF, Júnior JFS. Diversidade genética de acessos do Banco de Germoplasma de mangaba em Sergipe. Pesquisa Agropecuária Brasileira, 6:499-508, 2011.
Cristo-Araújo M, Rodrigues DP, Astolfi-Filho S, Clement C.R. Genetic variability in the peach palm genebank with RAPD markers. Crop Breeding and Applied Biotechnology, 10(3): 211-217, 2010.
Cruz W, Saldaña C, Ramos H, Baselly R, Loli JC, Cuellar E. Estructura y diversidad genética de poblaciones naturales de Cedrelinga cateniformis ‟tornillo" en la región oriental del Perú. Scientia Agropecuaria, 11(4): 521-528, 2020.
Eibl BI, Montagnini F, López MA, López LN, Montechiesi R, Esterche E. 2017. Organic yerba mate, Ilex paraguariensis, in association with native species: a sustainable production alternative, p. 261-281. In: Montagnini F (org.). Integrating landscapes: agroforestry for biodiversity conservation and food sovereignty. Cham, Switzerland: Springer International Publishing. 501p.
Evanno G, Regnault S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 14: 2611-2620, 2005.
Excoffier LGL, Schneider S. Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evolutionary Bioinformatics, 1:47-50, 2006.
Excoffier L, Smouse P, Quattro JM. Analysis of molecular variance inferred from metric distances among DNA haplotypes - application to human mitochondrial - DNA restriction data. Genetics, 13:479-491, 1992.
Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics, 164:1567-1587, 2003.
Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Molecular Ecology Notes, 7:574-578, 2007.
Freitas VLO, Lemos-Filho JP, Lovato MB. Contrasting genetic diversity and differentiation of populations of two successional stages in a neotropical pioneer tree (Eremanthus erythropappus, Asteraceae). Genetics and Molecular Research, 7:388-398, 2008.
Guerra D, Souza PVD, Schwarz SF, Schifino-Wittmann MT, Werlang CA, Veit PA. Genetic and cytological diversity in cherry tree accessions (Eugenia involucrata DC) in Rio Grande do Sul. Crop Breeding and Applied Biotechnology, 16: 219-225, 2016.
Hartl DL, Clark AG. 2010. Princípios de genética de populações. 4 ed. Porto Alegre: Artmed. 659p.
Hawkes JG, Maxted N, Ford-Lloyd BV. The ex-situ conservation of plant genetic Resources. London: Kluwer Academic Publishers, 1-250, 2000.
Hubisz MJ, Falush D, Stephens M, Pritchard JK. Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources, 9:1322-1332, 2009.
Jaccard P. Nouvelles recherches sur la distribu- tion florale. Bulletin de la Société Vaudoise des Sciences, 44:223-270, 1908.
Kageyama PY, Sebbenn AM, Ribas LA, Gandara FB, Castellen M, Perecim MB, Vencovsky R. Diversidade genética em espécies arbóreas tropicais de diferentes estágios sucessionais por marcadores genéticos. Scientia Forestalis, 64: 93-107, 2003.
Kamada T, Picoli E AT, Alfenas AC, Cruz CD, Vieira RF, Otoni WC. Diversidade genética de populações naturais de Pfaffia glomerata (Spreng.) Pedersen estimada por marcadores RAPD. Acta Scientiarum. Agronomy, 31(3): 403-409, 2009.
Lorenzi H. 2002. Árvores brasileiras: manual de identificação e cultivo de plantas arbóreas nativas do Brasil. 1 ed. Nova Odessa: Plantarum. 384p.
Mossi AJ, et al. Intra and inter populational genetic variability in Maytenus ilicifolia Mart. Ex Reiss, through RAPD Markers. Brazilian Journal of Biology, 67(4): 957-961, 2007.
Nagel JC, et al. Historical gene flow within and among populations of Luehea divaricata in the Brazilian Pampa. Genetica, 143(3): 317-29, 2015.
Neigel JE. A comparison of alternative strategies for estimating gene flow from genetic markers. Annual Review of Ecology, Evolution, and Systematics, 28(1): 105-128, 1997.
Neto NBM, Moryia AT. Variability in Variability in Macadamia integrifolia by RAPD markers by RAPD markers. Crop Breeding and Applied Biotechnology, 10: 266-270, 2010.
Oliveira DA, de Paula MFB, Pimenta MAS, Braga RF, Ferreira MFM, Rodrigues LA. Variabilidade genética de populações de fava-d'anta (Dimorphandra mollis) da região norte do Estado de Minas Gerais. Revista Árvore, 32: 355-363, 2008.
Oliveira VD, Rabbani ARC, Silva AVC, Lédo AS. Genetic variability in physic nuts cultivated in Northeastern Brazil. Ciência Rural, 43(6): 978-984, 2013.
Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics, 155: 945-959, 2000.
Rabbani ARC, Silva-Mann R, Ferreira RA. Genetic variability of Genipa americana L belonging to the lower course of São Francisco river. Revista Árvore, 36: 401-409, 2012.
Saldaña CL, et al. Genetic diversity and population structure of Capirona (Calycophyllum spruceanum Benth.) from the Peruvian Amazon revealed by RAPD markers. Forests, 12: 1125, 2021.
Salgueiro F, Felix D, Caldas JF, Margis-Pinheiro M AND Margis R. Even population differentiation for maternal and biparental gene markers in Eugenia uniflora, a widely distributed species from the Brazilian coastal Atlantic rain forest. Diversity and Distributions, 10: 201-210, 2004.
Santana GC, et al. Diversidade genética de Enterolobium contortisiliquum (Vell.) Morong. no baixo Rio São Francisco, por meio de marcadores RAPD. Revista Árvore 32(3): 427-433, 2008.
Santos RP, Ângelo PCS, Sampaio PTB, Quisen RC, Leite AMC, Oliveira CL. Geographic pattern of genetic diversity in natural populations of Rosewood (Aniba rosaeodora), in the Central Amazonia. Acta Amazonica, 38(3): 459-466, 2008.
Sardi JC, Freires IA, Lazarini JG, Infante J, Alencar SM, Rosalen PL. Unexplored endemic fruit species from Brazil: antibiofilm properties, insights into mode of action, and systemic toxicity of four Eugenia spp. Microbial Pathogenesis, 105:280-287, 2017.
Schulman L, Toivonen T, Ruokolainen K. Analysing botanical collecting effort in Amazonia and correcting for it in species range estimation. Journal of Biogeography, 34(8): 1388-1399, 2007.
Sganzerla WG, et al. Variability in the molecular, phenological, and physicochemical characteristics of uvaia (Eugenia pyriformis Cambess - Myrtaceae) accessions from the Brazilian Atlantic rainforest. Biocatalysis and Agricultural Biotechnology, 35: 102082, 2021.
Slatkin M. Rare alleles as indicators of gene flow. Evolution, 39(1): 53-65, 1985.
Sokal RR, Michener D. A statistical method for evaluation systematic relationships. The University of Kansas Science Bulletin, 38(22): 1409-1438, 1958.
Tobler WR. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2): 234-240, 1970.
Turchetto-Zolet, et al. Phylogeography and ecological niche modelling in Eugenia uniflora (Myrtaceae) suggest distinct vegetational responses to climate change between the southern and the northern Atlantic Forest. Botanical Journal of the Linnean Society, 182(3): 670-688, 2016.
Uslan PM. Genetic diversity of Sterculia quadrifida in Kupang, Indonesia based on RAPD (Random Amplified Polymorphic DNA) markers. Biodiversitas, 21(7): 3407-3414, 2020.
Zucchi MI, et al. Genetic structure and gene flow of Eugenia dysenterica natural populations. Pesquisa Agropecuária Brasileira, 40:975-980, 2005.
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