Genetic Diversity and Population Structure of Zingiber officinale Roscoe in Northern Mato Grosso State, Brazil
Keywords:
On-farm conservation, ISSR, Genetic Resources, Genetic variability, Zingiber officinaleAbstract
The ginger (Zingiber officinale Roscoe) was introduced in Brazil in the 16th century and is currently cultivated for commercial purposes and for own consumption, in urban and rural backyards. Although the species reproduces vegetatively, the exchange of rhizomes among gardeners contributes to the maintenance of the genetic variability of the species, since they carry out the selection of genotypes adapted to the soil and climate conditions of the cultivation areas. Studies on the variability of ginger cultivated in Brazil are scarce, therefore this study aimed to evaluate the genetic diversity and population structure, using ISSR molecular markers, of 245 ginger specimens cultivated in rural and urban backyards of twenty municipalities (populations) in the state of Mato Grosso, Brazil. The ISSR primer set used was classified as moderately informative and it amplified a total of 105 fragments, of which 97.60% showed polymorphism, indicating the existence of genetic variability. The genetic diversity assessment separated the 245 specimens into 30 hierarchical groups. Group 1 was the most representative (72%), containing specimens from all populations sampled. The population-level assessment allocated 18 populations in a single group, while the populations of Apiacás and Peixoto de Azevedo formed exclusive groups. The Molecular Variance Analysis revealed that the genetic variation found within populations (76.58%) is greater than that found among populations (23.42%), which indicates a process of fixing of alleles and genetic structuring. The Bayesian analysis identified only two distinct genetic groups and some populations sampled showed a predominance of one of the groups, which evidences the process of genetic structuring. According to the genetic distance of Nei (h) and the Shannon Index (I), Apiacás was the population that presented the greatest genetic diversity, while Matupá was characterized as the population with less diversity.
The genetic diversity found indicates that the cultivation, handling and selection performed by gardeners, as well as the exchange of rhizomes for propagation, are important factors for the conservation of the genetic diversity of the species. We also concluded that backyards are a source of genetic resources for programs that aim to identify traits of interest and promote the cultivation of the species in Brazil.
References
P. Corrêa. Dicionário das plantas úteis do Brasil e das exóticas cultivadas - V. III. Rio de Janeiro: Impressa Nacional, 1984, pp. 808.
L. H. C. Palharin, E. Figueiredo Neto, M. P. C. Lopes and G. G. Bosquê. “Estudo sobre o gengibre na medicina popular”. Revista Científica Eletrônica de Agronomia, vol. 7, no. 14, pp. 1-4, 2008.
M. A. Mohd Sharim and A. Shamsiah. “Detection of changes in growth, yield and genetic variation using RAPD markers among M1V2 and M1V3 generations of irradiated ginger (Zingiber officinale Roscoe)”. Food Research, vol. 5, suppl. 4, pp. 74-82, 2021, doi: 10.26656/fr.2017.5(S4).009
M. Ridley. Evolution. 3nd ed., Malden: Blackwell Science Ltd, 2004, pp.751.
IBGE - Brazilian Institute of Geography and Statistics. Agricultural Census 2017. Available in: https://sidra.ibge.gov.br/Tabela/6954#resultado. [May 12, 2022]
NATIONMASTER - Statistical database. 2020. Available in: https://www.nationmaster.com/search?q=ginger. [May 27, 2022]
R. A. M. Correia and D. B. Cortez. “O uso do gengibre como coadjuvante nas doenças inflamatórias como a osteoartrite e artrite reumatoide”. Revista Terra & cultura: Cadernos de Ensino e Pesquisa, vol. 31, no. 60, pp. 73-82, 2018.
G. L. S. Nicácio, S. C. Moura, J. V. J. Costa, C. R. Sena, T. B. F. Cruz, G. N. M. Lopes, et al. “Breve revisão sobre as propriedades fitoterápicas do Zingiber officinale Roscoe - o Gengibre”. Sinapse Múltipla, vol. 7, no. 2, pp. 74-80, 2018.
J. P. de Souza, L. Sarturi, A. R. Abreu, T. A. Sousa, V. L. M. G. Geron. “Breve relato sobre os efeitos terapêuticos do gengibre (Zingiber officinale Roscoe)”. Revista Científica da Faculdade de Educação e Meio Ambiente, vol. 10, no. 1, pp. 44-53, 2019. doi: 10.31072/rcf.v10iedesp.785
E. L. Ferreira, E. S. Cardoso, A. S. Rodrigues, A. A. B. Rossi. “Etnoconhecimento e utilização do gengibre no norte de Mato Grosso”. Vivências, vol. 16, no. 31, pp. 157-169, 2020. doi: 10.31512/vivencias.v16i31.230
A. L. L. Cavalcanti, D. M. B. Nascimento, T. C. L. Vasconcelos. “The use of herbal medicines during pregnancy: ginger (Zingiber officinale) and its benefits”. Res., Soc. Dev., vol. 10, no. 14, e598101422538, 2021. doi: 10.33448/rsd-v10i14.22538
C. A. Alvares, J. L. Stape, P. C. Sentelhas, J. L. M. Gonçalves, G. Sparovek. “Koppen’s climate classification map for Brazil”. Meteorologische Zeitschrift, vol. 22, no. 6, pp. 711-728, 2013. doi: 10.1127/0941-2948/2013/0507
H. G. Santos, P. K. T. Jacomine, L. H. C. Anos, V. A. Oliveira, J. F. Lumbreras, M. R. Coelho, et al. Sistema Brasileiro de Classificação de Solos. Brasília: EMBRAPA, 2018. pp.356
E. Z. Blanco, M. M. Bajay, M. V. B. M. Siqueira, M. I. Zuchi, J. B. Pinheiro. “Genetic diversity and structure of Brazilian ginger germplasm (Zingiber officinale) revealed by AFLP markers”. Genetica, vol. 144, no. 6, pp. 627-638, 2016. doi: 10.1007/s10709-016-9930-1
E. Z. Blanco, J. B. Pinheiro. “Agronomic evaluation and clonal selection of ginger genotypes (Zingiber officinale Roscoe) in Brazil”. Agronomía Colombiana, vol. 35, no. 3, pp. 275-284, 2017. doi: 10.15446/agron.colomb.v35n3.62454
E. S. Cardoso, A. A. B. Rossi, E. C. M. Pedri, K. E. M. Zortéa, A. V. Tiago, V. D. Rocha, et al. “Genetic diversity of Zingiber officinale (Zingiberaceae) germplasm grown in urban and rural backyards in Mato Grosso, Brazil”. Genet. Mol. Res., vol. 19, no. 2, gmr1857, 2020. doi: 10.4238/gmr18576
E. S. Cardoso, A. A. B. Rossi, U. A. Oliveira, A. S. Rodrigues, E. C. M. Pedri, A. V. Tiago, et al. “Caracterização fenotípica e molecular de Zingiber officinale Roscoe cultivado no norte de Mato Grosso, Brasil”. Revista Ibero Americana de Ciências Ambientais, vol. 12, no. 6, pp. 181-198, 2021. doi: 10.6008/CBPC2179-6858.2021.006.0016
A. C. Turchetto-Zolet, C. Turcheto, C. M. Zanella, G. Passaia (Org.). Marcadores moleculares na era genômica: metodologia e aplicações. Ribeirão Preto: Sociedade Brasileira de Genética (SBP), 2017. pp.181
X. Whang, Y. Wang, Y. Ma, Y. Song, L. Fu, J. Li. “Application of ISSR in Genetic Diversity Analysis of Zingiber officinale Rosc.”. JAST, vol. 20, no. 7, pp. 42-47, 2018. doi: 10.13304/j.nykjdb.2018.0102
V. Antala, S. Narayanan, N. Radadiya, H. Chaudhari, H. Desai, G. Patil. “Assessment of genetic diversity by using RAPD and ISSR markers in ginger (Zingiber officinale Rosc.) genotypes”. Int. J. Chem. Stud., vol. 7, no. 4, pp. 363-372, 2019.
J. Baruah, S. K. Pandey, T. Begum, N. Sarma, M. Paw, M. Lal. “Molecular diversity assessed amongst high dry rhizome recovery Ginger germplasm (Zingiber officinale Roscoe) from NE-India using RAPD and ISSR markers”. Ind. Crops Prod., vol. 129, pp. 463-471, 2019. doi: 10.1016/j.indcrop.2018.12.037
K. Deme, M. Konate, H. M. Ouedraogo, J. Sanou, M. Sawadogo. “Importance, genetic diversity and prospects for varietal improvement of ginger (Zingiber officinale Roscoe) in Burkina Faso”. World Journal of Agricultural Research, vol. 9, no. 3, p. 92-99, 2021. doi: 10.12691/wjar-9-3-3
L. S. Gomes, A. C. R. Furtado, M. C. Souza. “A sílica e suas particularidades”. Rev. Virtual Quim., vol. 10, no. 4, pp. 1018-1038, 2018.
K. D. Devi, K. Punyarani, N. S. Singh, H. S. Devi. “An efficient protocol for total DNA extraction from the members of order Zingiberales – suitable for diverse PCR based downstream applications”. Springer Plus, vol. 2, no. 1, pp. 669-676, 2013. doi: 10.1186/2193-1801-2-669
C. D. Cruz. “Genes Software - extended and integrated with the R, Matlab and Selegen”. Acta Scientiarum. Agronomy, vol. 38, no. 4, pp. 547-552, 2016.
M. NEI. “Genetic Distance between Populations”. The American Naturalist, vol. 106, no. 949, pp. 283-292, 1972. doi: 10.1086/282771
A. S. Meyer, A. A. F. Garcia, A. P. Souza, C. L. S. Souza Jr. “Comparison of similarity coefficients used for cluster analysis with dominant markers in maize (Zea mays L)”. Genet. Mol. Biol., vol. 27, no. 1, pp. 83-91, 2004. doi: 10.1590/S1415-47572004000100014
R. Mojena. “Hierarchical grouping methods and stopping rules: an evaluation”. The Computer Journal, vol. 20, no. 4, pp. 359-363, 1977. doi: 10.1093/comjnl/20.4.359
J. K. Pritchard, M. Stephens, P. Donnelly. “Inference of population structure using multilocus genotype data”. Genetics, vol. 155, no. 2, pp. 945–959, 2000. doi: 10.1093/genetics/155.2.945
G. Evano, S. Regnaut, J. Goudet. “Detecting the number of clusters of individuals using the software structure: a simulation study”. Mol Ecol., vol. 4, pp. 2611-2620, 2005. doi: 10.1111/j.1365-294X.2005.02553.x
J. K. Pritchard, X. Wen, D. Falush. Documentation for structure software: Version 2.3., 2009. Available in: https://www.ccg.unam.mx/~vinuesa/tlem09/docs. [May 08, 2022]
L. Excoffier, P. Smouse, J. M. Quattro. “Analysis of molecular variance inferred from metric distances among DNA haplotypes – application to human mitochondrial – DNA restriction data”. Genetics, vol. 131, no. 2, pp. 479-491, 1992. doi: 10.1093/genetics/131.2.479
F. C. Yeh, R. C. Yang, T. B. J. Boyle, Z. Ye, J. M. Xiyan, R. Yang, et al. POPGENE version 1.32: Microsoft Window-based freeware for population genetic analysis. Edmonton: University of Alberta, 2000. pp. 29
M. Nei. “Analysis of gene diversity in subdivided populations”. Proceedings of the National Academy of Sciences of the United States of America, vol. 70, no. 12, pp. 3321-332, 1973. doi: 10.1073/pnas.70.12.3321
R. C. Lewontin. “The apportionment of human diversity”. Evol Biol, vol. 6, pp. 381-398, 1972. doi: 10.1007/978-1-4684-9063-3_14
D. Botstein, R. L. White, M. Skolnick, R. W. Davis. “Construction of a genetic linkage map in man using restriction fragment length polymorphisms”. American Journal of Human Genetics, vol. 32, no. 3, pp. 314-331, 1980.
C. D. CRUZ, F. M. Ferreira, L. A. Pessoni. Biometria aplicada ao estudo da diversidade genética. Visconde do Rio Branco: Suprema, 2011. pp.620
J. B. Kruskal. “Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis”. Psychometrika, vol. 29, no. 1, pp. 1-27, 1964. doi: 10.1007/BF02289565
L. Santonieri, P. G. Bustamante. “Conservação ex situ e on farm de recursos genéticos: desafios para promover sinergias e complementaridades”. Bol. Mus. Para. Emílio Goeldi. Cienc. Hum., vol. 11, no. 3, pp. 677-690, 2016. doi: 10.1590/1981.81222016000300008
C. A. B. Santos, F. V. Bebé, Z. L. T. Gonçalves. “Mudanças no cenário da biodiversidade agrícola, implicações para a nutrição e saúde humana”. Rios Eletrônica (FASETE), vol. 21, pp. 95-108, 2019.
S. Wright. Evolution and Genetics of Populations. Chicago: University of Chicago, 1978. pp.511
E. Subudhi, A. Das, R. K. Joshi, S. Mohanty, S. Nayak. “Genetic diversity analysis and redundant identification in 48 core collections of Zingiber officinale Rosc. (Zingiberaceae)”. Braz. J. Bot, vol. 39, no. 3, pp. 869-883, 2016. doi: 10.1007/s40415-016-0278-7
A. Das, M. Gaur, D. P. Barik, E. Subudhi. “Genetic diversity analysis of 60 ginger germplasm core accessions using ISSR and SSR markers”. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, vol. 151, no. 5, pp. 822-832, 2017. doi: 10.1080/11263504.2016.1211197
A. H. Nguyen, N. T. Phan, L. T. Tran, Q. T. Hoang, P. T. Troung. “Genetic Diversity Analysis Based on Retrotransposon Microsatellite Amplification Polymorphisms (REMAP) for Distinguishing the Ginger Chemotype of Thua Thien Hue (Zingiber Officinale Roscoe) from other Vietnamese Ginger Types”. Jordan Journal of Biological Sciences, vol. 15, no. 2, pp. 292-302, 2022.
S. D. J. Afonso, R. F. C. Moreira, C. A. S. Ledo, C. F. Ferreira, V. S. Santos, P. A. Muondo. “Genetic structure of cassava populations (Manihot esculenta Crantz) from Angola assessed through (ISSR) markers”. Afr. J. Biotechnol., vol. 18, no. 7, pp. 144-154, 2019. doi: 10.5897/AJB2018.16720
E. C. M. Pedri, E. S. S. Hoogerheide, A. V. Tiago, E. S. Cardoso, J. M. A. Pinto, L. L. Santos, et al. “Genetic diversity of cassava landraces cultivated in northern Mato Grosso State, Brazil, using microsatellite markers”. Genet. Mol. Res., vol. 18, no. 3, gmr18315, 2019. doi: 10.4238/gmr18315
S. Q. Wang. “Genetic diversity and population structure of the endangered species Paeonia decomposita endemic to China and implications for its conservation”. BMC Plant Biol, vol. 20, no. 510, pp. 1-14, 2020. doi: 10.1186/s12870-020-02682-z
S. A. Yun, H. D. Son, H. T. Im, S. C. Kim. “Genetic diversity and population structure of the endangered orchid Pelatantheria scolopendrifolia (Orchidaceae) in Korea”. Plos One, vol. 15, no. 8, e0237546, 2020. doi: 10.1371/journal.pone.0237546
R. Huang, Y. Wang, K. Li, Y-Q. Wang. “Genetic variation and population structure of clonal Zingiber zerumbet at a fine geographic scale: a comparison with two closely related selfing and outcrossing Zingiber species”. BMC Ecol Evo, vol. 21, no. 1, pp. 1-13, 2021. doi: 10.1186/s12862-021-01853-2
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