Published

2016-01-01

Genetic structure of a Colombian cape gooseberry (Physalis peruviana L.) collection by means of microsatellite markers

Estructura genética de la colección colombiana de uchuva (Physalis peruviana L.) por medio de microsatélites

DOI:

https://doi.org/10.15446/agron.colomb.v34n1.52960

Keywords:

germplasm, cultivars, Andean region, genetic diversity as resource, genetic distance, molecular markers (en)
germoplasma, cultivares, Adean region, diversidad genética como recurso, distancia genética, marcadores moleculares (es)

Authors

  • María Isabel Chacón S. Universidad Nacional de Colombia - Sede Bogotá - Faculty of Agricultural Sciences - Department of Agronomy
  • Yubelly del Pilar Sánchez Universidad Nacional de Colombia - Sede Bogotá - Faculty of Agricultural Sciences - Department of Agronomy
  • Luz Stella Barrero M. Corporación Colombiana de Investigación Agropecuaria (CORPOICA)
The cape gooseberry (Physalis peruviana L.), a fruit species cultivated in the Andes, is one of the major fruit exports of Colombia. We hypothesized that the Andean cordilleras in Colombia play a role in structuring the genetic diversity of this crop. For addressing this hypothesis, a set of 85 Colombian cape gooseberry accessions from different departments and cordilleras was analyzed by means of 15 SSR markers. AMOVA, clustering and Bayesian analyses were applied. The results showed the presence of two major groups related to geography: one consisting of cultivated and non-cultivated accessions from the eastern Andes (Norte de Santander, Santander, Boyaca and Cundinamarca) and the other one consisting of cultivated and non-cultivated accessions from the central and western Andes (Antioquia, Caldas, Cauca and Nariño). The genetic relationships between the accessions suggested that the movement of cape gooseberry seeds may be more frequent between neighboring regions, thus explaining the existence of these two major groups. The results also showed lower levels of genetic diversity in this sample (HE=0.223), as compared to other Physalis species and other studies on the cape gooseberry that used different molecular markers. It is recommended that future evaluation studies include both cultivated and non-cultivated genotypes from the two major groups detected in this study in order to better represent the genetic diversity available in this crop.
La uchuva (Physalis peruviana L.), una de las frutas más importantes para la exportación en Colombia, es cultivada en las tres cordilleras de los Andes. Este patrón de distribución geográfica nos lleva a formular que las cordilleras de los Andes juegan un papel importante en la estructura genética de este cultivo. Para abordar esta hipótesis, la estructura genética en un conjunto de 85 accesiones cultivadas y no cultivadas de uchuva se estudió por medio de 15 loci SSR y se aplicaron análisis de AMOVA, agrupamiento y métodos Bayesianos. Los resultados muestran la existencia de dos grupos de accesiones cultivadas y no cultivadas: uno ubicado en la cordillera oriental de los Andes (Norte de Santander, Santander, Boyacá y Cundinamarca) y el otro en la cordillera central y occidental de los Andes (Antioquia, Caldas, Cauca y Nariño). Las relaciones genéticas entre accesiones sugieren que las semillas de uchuva son transportadas preferiblemente entre regiones cercanas, generando así la estructura genética observada. Se observaron niveles de diversidad genética más bajos (HE=0,223) en la muestra analizada que en otras especies de Physalis o en otros estudios de uchuva con diferentes marcadores moleculares. Se recomienda que futuros estudios de evaluación de la uchuva incluyan accesiones cultivadas y no cultivadas que representen los dos grupos observados en la presente investigación con el fin de representar mejor la diversidad genética disponible en esta especie.

References

Agronet. 2015. Cifras agropecuarias. In: www.agronet.gov.co; consulted: December, 2015.

Applied Biosystems. 2006. User bulletin GeneMapper® software version 4.0. Paisley, UK.

Berdugo C., J.A., F. Enciso R., C. González A., and L.S. Barrero M. 2015. Variabilidad genética de parentales y poblaciones F1 inter e intraespecíficas de Physalis peruviana L. y P. f loridana Rydb. Rev. Bras. Frutic. 37, 179-192. Doi: 10.1590/0100-2945-002/14

Bonilla B., M.L. and K. Espinosa P. 2003. Colección, caracterización fenotípica y molecular de poblaciones de uchuva Physalis peruviana L. Undergraduate thesis. Universidad Nacional de Colombia, Palmira, Colombia.

Bonilla B., M.L., K. Espinosa P., A.M. Posso T., H.D. Vásquez A., and J.E. Muñoz F. 2008. Establecimiento de una colección de trabajo de uchuva del suroccidente colombiano. Acta Agron. 57, 95-99.

Bushakra, J.M., K.S. Lewers, M.E. Staton, T. Zhebentyayeva, and C.A. Saski. 2015. Developing expressed sequence tag libraries and the discovery of simple sequence repeat markers for two species of raspberry (Rubus L.). BMC Plant Biol. 15, 258. Doi: 10.1186/s12870-015-0629-8

Cailes, R.L. 1952. The cultivation of cape gooseberry. J. Agric. West. Aust. 1, 363-365.

Cavalli-Sforza, L.L. and A.W.F. Edwards. 1967. Phylogenetic analysis: models and estimation procedures. Amer. J. Hum. Genet. 21, 550-570. Doi: 10.2307/2406616

Council, N.R. 1989. Lost crops of the Incas: little-known plants of the Andes with promise for worldwide cultivation. National Academy Press, Washington D.C.

Criollo E., H., T.C. Lagos B., C.P. Criollo V., and M. Guerrero B. 2001a. Caracterización de materiales de uvilla (Physalis peruviana L.) por sus características de calidad. Rev. Cienc. Agr. 18, 168-180.

Criollo E., H., T. Lagos B., H. Ruiz E., and C. Mosquera Q. 2001b. Evaluación de cultivares de uvilla (Physalis peruviana) con base en su capacidad productiva. Rev. Cienc. Agric. 18, 70-85.

Earl, D.A. and B.M. VonHoldt. 2012. Structure Harvester: a website and program for visualizing Structure output and implementing the Evanno method. Conservation Genet. Resour. 4, 359-361. Doi: 10.1007/s12686-011-9548-7

Enciso-Rodríguez, F.E., C. González, E.A. Rodríguez, C.E. López, D. Landsman, L.S. Barrero, and L. Mariño-Ramírez. 2013. Identification of immunity related genes to study the Physalis peruviana - Fusarium oxysporum pathosystem. PloS ONE, 8, e68500. Doi: 10.1371/journal.pone.0068500

Evanno, G., S. Regnaut, and J. Goudet. 2005. Detecting the number of clusters of individuals using the software Structure: a simulation study. Mol. Ecol. 14, 2611-2620. Doi:10.1111/j.1365-294X.2005.02553.x

Excoffier, L., P.E. Smouse, and J.M. Quattro. 1992. Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131, 479-491.

Felsenstein, J. 1993. PHYLIP: phylogenetic inference package, version 3.5 c. University of Washington, Washington DC.

Fischer, G. 2000. Crecimiento y desarrollo. pp. 9-26. In: Flórez, V.J., G. Fischer, and A.D. Sora (eds.). Producción, poscosecha y exportación de la uchuva (Physalis peruviana L.). Unibiblos, Universidad Nacional de Colombia, Bogota.

Fischer, G. and P.J. Almanza-Merchán. 1993. Nuevas tecnologías en el cultivo de la uchuva Physalis peruviana L. Agro-Desarrollo

, 292-304.

Garzón-Martínez, G.A., Z.I. Zhu, D. Landsman, L.S. Barrero and L. Mariño-Ramírez. 2012. The Physalis peruviana leaf transcriptome: assembly, annotation and gene model prediction. BMC Genom. 13, 151. Doi: 10.1186/1471-2164-13-151

Garzón-Martínez, G.A., J.A. Osorio-Guarín, P. Delgadillo-Durán, F. Mayorga, F.E. Enciso-Rodríguez, D. Landsman, L. Mariño-Ramírez, and L.S. Barrero. 2015. Genetic diversity and population structure in Physalis peruviana and related taxa based on InDels and SNPs derived from COSII and IRG markers. Plant Gene 4, 29-37. Doi: 10.1016/j.plgene.2015.09.003

González G., C. and L.S. Barrero M. 2011. Estudio de la marchitez vascular de la uchuva para el mejoramiento genético del cultivo. Corpoica, Mosquera, Colombia.

Herrera M., A.M., J.D. Ortiz A., G. Fischer, and M.I. Chacón S. 2011. Behavior in yield and quality of 54 cape gooseberry (Physalis peruviana L.) accessions from north-eastern Colombia. Agron. Colomb. 29, 189-196.

Herrera M., A.M., G. Fischer, and M.I. Chacón S. 2012. Agronomical evaluation of cape gooseberries (Physalis peruviana L.) from central and north-eastern Colombia. Agron. Colomb. 30, 15-24.

Jakobsson, M. and N.A. Rosenberg. 2007. CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23, 1801-1806. Doi: 10.1093/bioinformatics/btm233

Juyó, D., F. Sarmiento, M. Álvarez, H. Brochero, C. Gebhardt, and T. Mosquera. 2015. Genetic diversity and population structure in diploid potatoes of group Phureja. Crop Sci. 55, 760-769. Doi: 10.2135/cropsci2014.07.0524

Kalia, R.K., M.K. Rai, S. Kalia, R. Singh, and A.K. Dhawan. 2011. Microsatellite markers: an overview of the recent progress in plants. Euphytica 177, 309-334. Doi: 10.1007/s10681-010-0286-9

Lagos B., T.C., H. Criollo E., and C. Mosquera Q. 2001. Evaluación preliminar de cultivares de uvilla (Physalis peruviana L.) para escoger materiales con base en la calidad del fruto. Rev. Cienc. Agric. 18, 82-94.

Lagos B., T.C., F.A. Vallejo C., H. Criollo E., and J.E. Muñoz F. 2008. Biología reproductiva de la uchuva. Acta Agron. 57, 81-87.

Legge, A.P. 1974. Notes on the history, cultivation and uses of Physalis peruviana L. J. Roy. Hort. Soc. 99, 310-314.

Lipka, A.E., F. Tian, Q. Wang, J. Peiffer, M. Li, P.J. Bradbury, M.A. Gore, E.S. Buckler, and Z. Zhang. 2012. GAPIT: genome association and prediction integrated tool. Bioinformatics 28, 2397-2399. Doi: 10.1093/bioinformatics/bts444

Menzel, M.Y. 1951. The cytotaxonomy and genetics of Physalis. Proc. Amer. Phil. Soc. 95, 132-183.

Nei, M. 1987. Molecular evolutionary genetics. Columbia University Press, New York, NY.

Ortiz, D.C., A. Bohórquez, M.C. Duque, J. Tohme, D. Cuéllar, and T. Mosquera V. 2012. Evaluating purple passion fruit (Passiflora edulis Sims f. edulis) genetic variability in individuals from commercial plantations in Colombia. Genet. Resour. Crop Evol. 59, 1089-1099. Doi: 10.1007/s10722-011-9745-y

Osorio-Guarín, J.A., F.E. Enciso-Rodríguez, C. González, N. Fernández-Pozo, L.A. Mueller, and L.S. Barrero. 2016. Association analysis for disease resistance to Fusarium oxysporum in cape gooseberry (Physalis peruviana L.). BMC Genomics. 17, 248. Doi: 10.1186/s12864-016-2568-7

Peakall, R. and P.E. Smouse. 2012. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and researchan update. Bioinformatics 28, 2537-2539. Doi: 10.1093/bioinformatics/bts460

Pritchard, J.K., M. Stephens, and P. Donnelly. 2000. Inference of population structure using multilocus genotype data. Genetics 155, 945-959.

Rambaut, A. and A.J. Drummond. 2014. FigTree version 1.4.2. In: http://tree.bio.ed.ac.uk/software/figtree/; consulted: January, 2016.

Rodríguez C., N.C. and M.L. Bueno A. 2006. Study of the cytogenetic diversity of Physalis peruviana L.(Solanaceae). Acta Biol. Colomb. 11, 75-85.

Rosenberg, N.A. 2007. Distruct: a program for the graphical display of structure results. In: https://rosenberglab.stanford.edu/distruct.html; consulted: January, 2016.

Simbaqueba, J., P. Sánchez, E. Sánchez, V.M. Núñez Z., M.I. Chacón, L.S. Barrero, and L. Mariño-Ramírez. 2011. Development and characterization of microsatellite markers for the cape gooseberry Physalis peruviana. PloS ONE 6, e26719. Doi: 10.1371/journal.pone.0026719

Team, R.C. 2014. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

Valencia R., R.A., M. Lobo A., and G.A. Ligarreto M. 2010. Estado del arte de los recursos genéticos vegetales en Colombia: Sistema de Bancos de Germoplasma. Corpoica Cienc. Tecnol. Agropecu. 11, 85-94.

Vega-Vela, N.E. and M.I. Chacón-Sánchez. 2011. Isolation of highquality DNA in 16 aromatic and medicinal Colombian species using silica-based extraction columns. Agron. Colomb. 29, 349-357.

Wei, J., X. Hu, J. Yang, and W. Yang. 2012. Identification of singlecopy orthologous genes between Physalis and Solanum lycopersicum and analysis of genetic diversity in Physalis using molecular markers. PloS ONE 7, e50164. Doi: 10.1371/journal.pone.0050164

Dimensions

PlumX

Article abstract page views

2278

Downloads

Download data is not yet available.

How to Cite

Genetic structure of a Colombian cape gooseberry (Physalis peruviana L.) collection by means of microsatellite markers. (2016). Agronomía Colombiana, 34(1), 5-16. https://doi.org/10.15446/agron.colomb.v34n1.52960