MOLECULAR MARKERS AND MORFO-AGRONOMIC DESCRIPTORS IN THE ASSESSMENT GENETIC DIVERSITY OF BUCHA (LUFFA CYLINDRICA)
Keywords:
multivariate analysis; genetic structure; polymorphism; genetic resourcesAbstract
The study of the diversity of Luffa cylindrica may allow specific screening for different applications, aiming at the use and improvement of the species. Molecular data and thirty morpho-agronomic descriptors were used in multivariate analyzes to characterize 24 bushing accessions from seven Brazilian states. The results showed that the accessions under study have a wide potential variability for all the morpho-agronomic characters analyzed. The characters that most contributed to the divergence between the accessions were the fruit length (62.32%) and the apical circumference of the fruits (19.70%). AFLP markers were efficient in grouping the bushing access from different Brazilian regions and showed 66.8% of polymorphism. The clustering obtained from the joint analysis of molecular and morpho-agronomic data separated the accessions into four groups and was consistent with the Bayesian cluster analysis in the separation of accessions collected in the north with those prospected in the other Brazilian regions.
Downloads
Download data is not yet available.
References
Andrade, R.A.; Wickert, E.; Martins, A.B.G.; Andrade, M.M.C. and Lemos, E.G.M. Diversidade genética de acessos de Nephelium lappaceum L. através de caracterização morfológica e molecular. Comunicata Scientiae, v.29, n.2, p. 91-99, 2011.
Bisognin, D.A. Origin and evolution of cultivated cucurbits. Ciência Rural, v.32, p. 715-723, 2002.
Creste, S.; Tulmann, N.A.; and Figueira. A. Detection of single sequence repeat polymorphisms in denaturing polyacrilamide sequencing gels by silver staining. Plant Molecular Biology Reporter, v.19, n.4, p. 299-306, 2001.
Cruz. C.D. Genes - a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum, v.35, n.3, p. 271-276, 2013. http://dx.doi.org/10.4025/actasciagron.v35i3.21251
Cruz. C.D.; Regazzi, A.J.; and Carneiro, P.C.S. Modelos biométricos aplicados ao melhoramento genético – Volume 1. 4ª ed. Editora UFV, Viçosa, 514pp, 2012.
Doyle, J.J. and Doyle, J.L. Isolation of plant DNA from fresh tissue. Focus, v.12, n.1, p. 13-15, 1997.
Evanno. G.; Regnaut, S.; and Goudet, J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, v.14, n.8, p. 2611-2620, 2005. http://dx.doi.org/10.1111/j.1365-294X.2005.02553
Ghali, L.H.; Aloui, M.; Zidi, M.; Daly, H.B.; Msahli, S. and Sakli, F. Effect of chemical modification of Luffa cylindrica fibers on the mechanical and hygrothermal behaviours of polyester/luffa composites. BioResources, v.6, n.4, p. 3836-3849, 2011.
Gower, J.C. A general coefficient of similarity and some of its properties. Biometrics, v.27, n.4, p. 857-874, 1971. http://dx.doi.org/10.2307/2528823
Joshi, B.K.; Upadhyay, M.P.; Baniya, B.K.; Dongol, D.M.; Tiwari, R.K. and Shrestha, P. Evaluation of Sponge Gourd Landraces in Line with the Reliability of Names Given by Farmers. Nepal Journal of Science and Technology, v.11, p. 9-16, 2010. https://doi.org/10.3126/njst.v11i0.4083
Joshi, B.K.; Kc, H.B.; Tiwari, R.K.; Ghale, M.; Sthapit, B.R. and Upadhyay, M.P. Descriptors for sponge gourd (Luffa cylindrica L. Roem). Kathmandu, NARC, LIBIRD and IPGRI, 43pp, 2014.
Lopes, R.; Lopes, M.T.G.; Figueira, A.V.D.O.; Camargo, L.E.A.; Fungaro, M.H.P.; Carneiro, M.S and Vieira, M.L.C. Marcadores moleculares dominantes (RAPD e AFLP): Aspectos técnicos e interpretação genética. Biotecnologia Ciência e Desenvolvimento, v.29, p. 64-68, 2003.
Mojena, R. Hierarchical grouping methods and stopping rules: An evaluation. The Computer Journal, v.20, n.4, p. 359-363, 1977. http://dx.doi.org/10.1093/comjnl/20.4.359
Moura, M.C.C.L.; Gonçalves, L.S.A.; Sudré, C.P.; Rodrigues, R.; Amaral Júnior, A.T. and Pereira, T.N.S. Algoritmo de Gower na estimativa da di¬vergência genética em germoplasma de pimenta. Horticultura Brasileira, v.28, n.2, p. 155-161, 2010.
Oboh, O. and Aluyor, E.O. Luffa cylindrica - an emerging cash crop. African Journal of Agricultural Research, v.4, n.8, p. 684-688, 2009.
Partap, S.; Kumar, A.; Sharma, N.K. and Jha, K.K. Luffa Cylindrica: An important medicinal plant. Journal of Natural Product and Plant Resources, v.2, n.1, p. 127-134, 2012.
Prakash, K.; Pati, K.; Arya, L.; Pandey, A. and Verma, M. Population structure and diversity in cultivated and wild Luffa species. Biochemical Systematics and Ecology, v.56, p. 165-170, 2014. http://dx.doi.org/10.1016/j.bse.2014.05.012
Prakash, K.; Pandey, A.; Radhamani, J. and Bisht, I.S. Morphological variability in cultivated and wild species of Luffa (Cucurbitaceae) from India. Genetic Resources and Crop Evolution, v.60, n.8, p. 2319-2329, 2013. http://dx.doi.org/10.1007/s10722-013-9999-7
Priori, D. Barbieri, R.L.; Castro, C.M.; Oliveira, A.C.; Vilela, J.C.B. and Mistura, C.C. Diversidade genética de Cucurbita pepo, C. argyrosperma e C. ficifolia empregando marcadores microssatélites. Horticultura Brasileira, v.31, n.3, p. 361-368, 2013.
Pritchard, J.K.; Stephens, M. and Donnelly, P. Inference of population structure using multilocus genotype data. Genetics, v.155, n.2, p. 945-959, 2000.
Queiroz, M.A. Germplasm of Cucurbitaceae in Brazil. Crop Breeding and Applied Biotechnology, v.4, n. 4, p. 377-383, 2004.
R development core team (2013) R: A Language and environment for statistical computing. Vienna, R Foundation for Statistical Computing. Disponível em: http://www.R-project.org. Acessado em: 01 de junho de 2015.
Silva, M.W.K.P.; Ranil, R.H.G. and Fonseka, R.M. Luffa cylindrica (L.) M. Roemer (Sponge Gourd-Niyan wetakolu): An Emerging High Potential Underutilized Cucurbit. Tropical Agricultural Research, v.23, n. 2, p. 186-191, 2012.
Singh, D. The relative importance of characters affecting genetic divergence. The Indian Journal of Genetic and Plant Breeding, v.41, p. 237-245, 1981.
Tanobe, V.O.; Flores-Sahagun, T.H.; Amico, S.C.; Muniz, G.I. and Satyanarayana, K.G. Sponge Gourd (Luffa Cylindrica) Reinforced Polyester Composites: Preparation and Properties. Defence Science Journal, v.64, n.3, p. 273-280, 2014. http://dx.doi.org/10.14429/dsj.64.7327
Tyagi, R.; Sharma, V.; Sureja, A.K.; Munshi, A.D.; Arya, L.; and Verma, M. Deciphering population structure and diversity in Luffa cylindrica (L.) M. Roem. using morphological and sequence-related amplified polymorphism markers. Plant Genetic Resources: Characterization and Utilization, v.1, p. 1-4, 2015. http://dx.doi.org/10.1017/S1479262115000258
Viana, J.M.S.; Valente, M.S.F.; Silva, F.F.; Mundim, G.B. and Paes, G.P. Efficacy of population structure analysis with breeding populations and inbred lines. Genetica, v.141, n.7-9, p. 389-399, 2013. http://dx.doi.org/10.1007/s10709-013-9738-1
Vos, P.; Hogers, R.; Bleeker, M.; Reijans, M.; Lee, T.V.D.; Hornes, M.; Friters, A.; Pot, J.; Paleman, J.; Kuiper, M.; and Zabeau, M. AFLP: a new technique for DNA fingerprinting. Nucleic acids research, v.23, n.21, p. 4407-4414, 1995. http://dx.doi.org/10.1093/nar/23.21.4407
Zhang, S.; Hu, J.; and Xu, S.; Developmental genetic analysis of fruit shape traits under different environmental conditions in sponge gourd (Luffa cylindrical (L) Roem. Violales, Cucurbitaceae). Genetics and Molecular Biology, v.31, n.3, p. 704-710, 2008.
Bisognin, D.A. Origin and evolution of cultivated cucurbits. Ciência Rural, v.32, p. 715-723, 2002.
Creste, S.; Tulmann, N.A.; and Figueira. A. Detection of single sequence repeat polymorphisms in denaturing polyacrilamide sequencing gels by silver staining. Plant Molecular Biology Reporter, v.19, n.4, p. 299-306, 2001.
Cruz. C.D. Genes - a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum, v.35, n.3, p. 271-276, 2013. http://dx.doi.org/10.4025/actasciagron.v35i3.21251
Cruz. C.D.; Regazzi, A.J.; and Carneiro, P.C.S. Modelos biométricos aplicados ao melhoramento genético – Volume 1. 4ª ed. Editora UFV, Viçosa, 514pp, 2012.
Doyle, J.J. and Doyle, J.L. Isolation of plant DNA from fresh tissue. Focus, v.12, n.1, p. 13-15, 1997.
Evanno. G.; Regnaut, S.; and Goudet, J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, v.14, n.8, p. 2611-2620, 2005. http://dx.doi.org/10.1111/j.1365-294X.2005.02553
Ghali, L.H.; Aloui, M.; Zidi, M.; Daly, H.B.; Msahli, S. and Sakli, F. Effect of chemical modification of Luffa cylindrica fibers on the mechanical and hygrothermal behaviours of polyester/luffa composites. BioResources, v.6, n.4, p. 3836-3849, 2011.
Gower, J.C. A general coefficient of similarity and some of its properties. Biometrics, v.27, n.4, p. 857-874, 1971. http://dx.doi.org/10.2307/2528823
Joshi, B.K.; Upadhyay, M.P.; Baniya, B.K.; Dongol, D.M.; Tiwari, R.K. and Shrestha, P. Evaluation of Sponge Gourd Landraces in Line with the Reliability of Names Given by Farmers. Nepal Journal of Science and Technology, v.11, p. 9-16, 2010. https://doi.org/10.3126/njst.v11i0.4083
Joshi, B.K.; Kc, H.B.; Tiwari, R.K.; Ghale, M.; Sthapit, B.R. and Upadhyay, M.P. Descriptors for sponge gourd (Luffa cylindrica L. Roem). Kathmandu, NARC, LIBIRD and IPGRI, 43pp, 2014.
Lopes, R.; Lopes, M.T.G.; Figueira, A.V.D.O.; Camargo, L.E.A.; Fungaro, M.H.P.; Carneiro, M.S and Vieira, M.L.C. Marcadores moleculares dominantes (RAPD e AFLP): Aspectos técnicos e interpretação genética. Biotecnologia Ciência e Desenvolvimento, v.29, p. 64-68, 2003.
Mojena, R. Hierarchical grouping methods and stopping rules: An evaluation. The Computer Journal, v.20, n.4, p. 359-363, 1977. http://dx.doi.org/10.1093/comjnl/20.4.359
Moura, M.C.C.L.; Gonçalves, L.S.A.; Sudré, C.P.; Rodrigues, R.; Amaral Júnior, A.T. and Pereira, T.N.S. Algoritmo de Gower na estimativa da di¬vergência genética em germoplasma de pimenta. Horticultura Brasileira, v.28, n.2, p. 155-161, 2010.
Oboh, O. and Aluyor, E.O. Luffa cylindrica - an emerging cash crop. African Journal of Agricultural Research, v.4, n.8, p. 684-688, 2009.
Partap, S.; Kumar, A.; Sharma, N.K. and Jha, K.K. Luffa Cylindrica: An important medicinal plant. Journal of Natural Product and Plant Resources, v.2, n.1, p. 127-134, 2012.
Prakash, K.; Pati, K.; Arya, L.; Pandey, A. and Verma, M. Population structure and diversity in cultivated and wild Luffa species. Biochemical Systematics and Ecology, v.56, p. 165-170, 2014. http://dx.doi.org/10.1016/j.bse.2014.05.012
Prakash, K.; Pandey, A.; Radhamani, J. and Bisht, I.S. Morphological variability in cultivated and wild species of Luffa (Cucurbitaceae) from India. Genetic Resources and Crop Evolution, v.60, n.8, p. 2319-2329, 2013. http://dx.doi.org/10.1007/s10722-013-9999-7
Priori, D. Barbieri, R.L.; Castro, C.M.; Oliveira, A.C.; Vilela, J.C.B. and Mistura, C.C. Diversidade genética de Cucurbita pepo, C. argyrosperma e C. ficifolia empregando marcadores microssatélites. Horticultura Brasileira, v.31, n.3, p. 361-368, 2013.
Pritchard, J.K.; Stephens, M. and Donnelly, P. Inference of population structure using multilocus genotype data. Genetics, v.155, n.2, p. 945-959, 2000.
Queiroz, M.A. Germplasm of Cucurbitaceae in Brazil. Crop Breeding and Applied Biotechnology, v.4, n. 4, p. 377-383, 2004.
R development core team (2013) R: A Language and environment for statistical computing. Vienna, R Foundation for Statistical Computing. Disponível em: http://www.R-project.org. Acessado em: 01 de junho de 2015.
Silva, M.W.K.P.; Ranil, R.H.G. and Fonseka, R.M. Luffa cylindrica (L.) M. Roemer (Sponge Gourd-Niyan wetakolu): An Emerging High Potential Underutilized Cucurbit. Tropical Agricultural Research, v.23, n. 2, p. 186-191, 2012.
Singh, D. The relative importance of characters affecting genetic divergence. The Indian Journal of Genetic and Plant Breeding, v.41, p. 237-245, 1981.
Tanobe, V.O.; Flores-Sahagun, T.H.; Amico, S.C.; Muniz, G.I. and Satyanarayana, K.G. Sponge Gourd (Luffa Cylindrica) Reinforced Polyester Composites: Preparation and Properties. Defence Science Journal, v.64, n.3, p. 273-280, 2014. http://dx.doi.org/10.14429/dsj.64.7327
Tyagi, R.; Sharma, V.; Sureja, A.K.; Munshi, A.D.; Arya, L.; and Verma, M. Deciphering population structure and diversity in Luffa cylindrica (L.) M. Roem. using morphological and sequence-related amplified polymorphism markers. Plant Genetic Resources: Characterization and Utilization, v.1, p. 1-4, 2015. http://dx.doi.org/10.1017/S1479262115000258
Viana, J.M.S.; Valente, M.S.F.; Silva, F.F.; Mundim, G.B. and Paes, G.P. Efficacy of population structure analysis with breeding populations and inbred lines. Genetica, v.141, n.7-9, p. 389-399, 2013. http://dx.doi.org/10.1007/s10709-013-9738-1
Vos, P.; Hogers, R.; Bleeker, M.; Reijans, M.; Lee, T.V.D.; Hornes, M.; Friters, A.; Pot, J.; Paleman, J.; Kuiper, M.; and Zabeau, M. AFLP: a new technique for DNA fingerprinting. Nucleic acids research, v.23, n.21, p. 4407-4414, 1995. http://dx.doi.org/10.1093/nar/23.21.4407
Zhang, S.; Hu, J.; and Xu, S.; Developmental genetic analysis of fruit shape traits under different environmental conditions in sponge gourd (Luffa cylindrical (L) Roem. Violales, Cucurbitaceae). Genetics and Molecular Biology, v.31, n.3, p. 704-710, 2008.
Downloads
Published
2020-01-14
Issue
Section
Artigos
License
Copyright (c) 2020 Colloquium Agrariae. ISSN: 1809-8215
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
MOLECULAR MARKERS AND MORFO-AGRONOMIC DESCRIPTORS IN THE ASSESSMENT GENETIC DIVERSITY OF BUCHA (LUFFA CYLINDRICA) . (2020). Colloquium Agrariae. ISSN: 1809-8215, 16(1), 66-76. https://journal.unoeste.br/index.php/ca/article/view/3157