Genetic diversity analysis of two <i>Eucalyptus</i> species using ISSR markers
DOI:
https://doi.org/10.5902/1980509832804Keywords:
Genetic breeding, Genetic reserve, Eucalyptus urophylla, Eucalyptus microcorysAbstract
Here, we deployed a genetic diversity analysis using ISSR markers in two Eucalyptus species, as a fundamental step toward breeding strategies. The selected species were Eucalyptus urophylla and Eucalyptus microcorys, both with economic potential in forestry. The studied individuals belong to a species and the provenance test that was installed in 1974 and until now remains exempt from silvicultural treatments. Nine universal ISSR primers were used in the analyses. Intra and interspecific variation through the polymorphism percentage, polymorphism information content (PIC) and Euclidean distances among individuals were computed. The Euclidean distance among the individuals was used to perform a principal coordinate analysis (PCoA), as well as the permutation analysis of multivariate dispersion (PermDisp), followed by the Tukey’s test. A high percentage of polymorphic bands were detected, with 57.14% for Eucalyptus microcorys and 80.95% for Eucalyptus urophylla. PIC values were higher than 0.5 for four primers (UBC827, UBC835, UBC841, and UBC842). The genetic variability was significantly higher within the Eucalyptus urophylla population than in Eucalyptus microcorys, which may be associated with the greater ability of Eucalyptus urophylla to naturally hybridize, therefore, enabling the introduction of new alleles to their populations.
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ANDERSON, M. J. Distance based tests for homogeneity of multivariate dispersions. Biometrics, Washington, v. 62, n. 1, p. 245-253, 2005.
ARRIEL, T. G. et al. Developing near infrared spectroscopic models for predicting density of Eucalyptus wood based on indirect measurement. Cerne, Lavras, v. 25, n. 3, p. 294-300, 2019.
BASELGA, A.; ORME, C. D. L. Betapart: an R package for the study of beta diversity. Methods in Ecology and Evolution, London, v. 3, n. 5, p. 808-812, 2012.
BOTSTEIN, D. et al. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics, Chicago, v. 32, n. 3, p. 314-331, 1980.
BROOKER, M. I. H. A new classification of the genus Eucalyptus L'Her. (Myrtaceae). Australian Systematic Botany, Clayton, v. 13, n. 1, p. 79-148, 2000.
CHIMELLO, A. M. et al. Morphological descriptors and ISSR molecular markers in the evaluation of genetic variability of Tectona grandis genotypes. Genetics and Molecular Research: GMR, Ribeirão Preto, v. 16, n. 2, p. 1-16, 2017.
CIPRIANO, J. et al. Evaluation of genetic diversity of Portuguese Pinus sylvestris L. populations based on molecular data and inferences about the future use of this germplasm. Journal of Genetics, London, v. 93, n. 2, p. 41-48, 2016.
CRUZ, C. D. Genes: a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum. Agronomy, Maringá, v. 35, n. 3, p. 271-276, 2013.
DOYLE, J. J.; DOYLE, J. L. Isolation of plant DNA from fresh tissue. Focus, Rockville, v. 12, n. 1, p. 13-15, 1990.
DVORAK, W. S.; HODGE, G. R.; PAYN, K. G. The conservation and breeding of Eucalyptus urophylla: a case study to better protect important populations and improve productivity. Southern Forests: A Journal of Forest Science, Scottsville, v. 70, n. 2, p. 77-85, 2008.
FONSECA, S. M. et al. Manual prático de melhoramento genético do eucalipto. Viçosa, MG: Editora UFV, 2010. 200 p.
GOLLE, D. P. et al. Melhoramento florestal: ênfase na aplicação da biotecnologia. Ciência Rural, Santa Maria, v. 39, n. 5, p. 1606-1613, 2009.
GOWER J. C. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, Oxford, v. 53, n. 3-4, p. 325-338, 1966.
GROVER, A.; SHARMA, P. C. Development and use of molecular markers: past and present. Critical Reviews in Biotechnology, London, v. 36, n. 2, p. 290-302, 2016.
JONES, N. et al. Markers and mapping revisited: finding your gene. New Phytologist, Oxford, v. 183, n. 4, p. 935-966, 2009.
KONZEN, E. R. Towards conservation strategies for forest tree endangered species: the meaning of population genetic statistics. Advances in Forestry Science, Cuiabá, v. 1, n. 1, p. 45-51, 2014.
KONZEN, E. R. et al. Molecular identification of bamboo genera and species based on RAPD-RFLP markers. Silva Fennica, Helsinki, v. 51, n. 4, p. 1-16, 2017.
LUCAS-BORJA, M. E. et al. Evaluation of fire recurrence effect on genetic diversity in maritime pine (Pinus pinaster Ait.) stands using Inter-Simple Sequence Repeat profiles. Science of the Total Environment, Amsterdam, v. 572, n. 1, p. 1322-1328, 2016.
MARTIN, B.; COSSALTER, C. Les Eucalyptus des lles de la Sonde. Bois et Forêts des Tropiques, Montpellier, v. 4, n. 166, p. 3-22, 1976.
MONDINI, L.; NOORANI, A.; PAGNOTTA, M. A. Assessing plant genetic diversity by molecular tools. Diversity, Basel, v. 1, n. 1, p. 19-35, 2009.
MOURA, V. P. G. et al. Avaliação de espécies e procedências de Eucalyptus em Minas Gerais e Espírito Santo: resultados parciais. Brasília: EMBRAPA; CPAC, 1980. 104 p.
NG, W.; TAN, S. Inter-Simple Sequence Repeat (ISSR) markers: are we doing it right? ASM Science Journal, Kuala Lumpur, v. 9, n. 1, p. 30-39, 2015.
OLIVEIRA, L. F. R.; SANTANA, R. C.; OLIVEIRA, M. L. R. Nondestructive estimation of leaf nutrient concentrations in Eucalyptus plantations. Cerne, Lavras, v. 25, n. 2, p. 184-194, 2019.
OKSANEN, J. et al. Package ‘vegan’. [S. l.]: Community Ecology Package, 2013. v. 2. 295 p.
PALMER, M. Ordination methods for ecologists. Oklahoma: Oklahoma State University, Botany Department, 2000. Available in: http://ordination.okstate.edu/. Accessed in: 26 may 2018.
PALUDZYSZYN FILHO, E.; SANTOS, P. E. T. Programa de melhoramento genético de eucalipto da Embrapa Florestas: resultados e perspectivas. Colombo: Embrapa Florestas, 2011. 66 p.
PEAKALL, R.; SMOUSE, P. E. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics, v. 28, n 19, p. 2537-2539, 2012.
PRYOR, L. D. Aspectos da cultura do eucalipto no Brasil. IPEF, Piracicaba, n. 2/3, p. 53-59, 1971.
R DEVELOPMENT CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2016.
REZENDE, G. D. S. P. et al. Eucalyptus breeding for clonal forestry. In: FENNING, T. (ed.) Challenges and opportunities for the world's forests in the 21st century. Dordrecht: Springer, Forestry Sciences, 2014. v. 81. p. 393-424.
SILVA JÚNIOR, A. L. et al. Genetic diversity of Schizolobium parahyba var. amazonicum (Huber ex Ducke) Barneby, in a forest area in Brazil. Genetics and Molecular Research: GMR, Ribeirão Preto, v. 16, n. 3, p. 1-10, 2017.
SMITH, J. S. C. et al. An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.): comparisons with data from RFLPs and pedigree. Theoretical and Applied Genetics, Berlin, v. 95, n. 1/2, p. 163-173, 1997.
STEANE, D. A. et al. Population genetic analysis and phylogeny reconstruction in Eucalyptus (Myrtaceae) using high-throughput, genome-wide genotyping. Molecular Phylogenetics and Evolution, San Diego, v. 59, n. 1, p. 206-224, 2011.
WEILER, R. L. et al. Caracterização molecular de uma progênie de tangerineira 'Clementina Fina' e 'Montenegrina'. Ciência Rural, Santa Maria, v. 40, n. 7, p. 1523-1529, 2010.
