Abstract
The aim of this study was to develop microsatellite markers as a tool to study population structure, genetic diversity and effective population size of Echinopsis chiloensis, an endemic cactus from arid and semiarid regions of Central Chile. We developed 12 polymorphic microsatellite markers for E. chiloensis using next-generation sequencing and tested them in 60 individuals from six sites, covering all the latitudinal range of this species. The number of alleles per locus ranged from 3 to 8, while the observed (Ho) and expected (He) heterozygosity ranged from 0.0 to 0.80 and from 0.10 to 0.76, respectively. We also detected significant differences between sites, with FST values ranging from 0.05 to 0.29. Microsatellite markers will enable us to estimate genetic diversity and population structure of E. chiloensis in future ecological and phylogeographic studies.
References
Cares RA, Medel R, Botto-Mahan C (2013) Frugivory in Echinopsis chiloensis (Caryophyllales: Cactaceae). Rev Chil Hist Nat 86:489–491. doi:10.4067/S0716-078X2013000400011
Costa LMS, Wilhelms C, Covre WS, Lorenz-Lemke AP (2013) Phylogeography and conservation genetics of two species of Echinopsis (Cactaceae). Congresso Brasileiro de Genética 59
Doyle JJ, Doyle JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull 19:11–15. doi:10.3732/ajb.1000181
Fava WS, Paggi GM, Zanella CM, Lorenz-Lemke AP (2016) Development and characterization of microsatellite markers for Echinopsis rhodotricha and cross-amplification in other species of Cactaceae. Biochem Syst Ecol 66:19–23. doi:10.1016/j.bse.2016.02.008
Frankham R, Ballou JD, Briscoe DA (2004) A primer of conservation genetics. University Press, Cambridge
Kearse M, Moir R, Wilson A, Stones-Haves S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A (2012) Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28:1647–1649. doi:10.1093/bioinformatics/bts199
Lemaitre AB, Pinto CF, Niemeyer HM (2014) Generalized pollination system: are floral traits adapted to different pollinators? Arthropod-Plant Interact 8:261–272. doi:10.1007/s11829-014-9308-1
Luebert F, Pliscoff P (2006) Sinopsis bioclimática y vegetacional de Chile. Editorial Universitaria, Santiago
Mauseth JD (1985) Relations between Trichocereus chilensis and the holoparasite Tristerix aphyllus. Medio Ambient 7:39–44
Mauseth JD, Montenegro G, Walckowiak AM (1984) Studies of the holoparasite Tristerix aphyllus (Loranthaceae) infecting Trichocereus chilensis (Cactaceae). Can J Bot 62:847–857
Ossa CG, Medel R (2011) Notes on the floral biology and pollination syndrome of Echinopsis chiloensis (Cactaceae) in a population of semiarid Chile. Gayana Bot 68:213–219. doi:10.4067/S0717-66432011000200012
Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in excel. population genetic software for teaching and research-an update. Bioinformatics 28:2537–2539. doi:10.1093/bioinformatics/bts460
Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in excel. population genetic software for teaching and research. Mol Ecol Notes 6:288–295. doi:10.1111/j.1471-8286.2005.01155.x
Rozen S, Skaletsky H (2000) Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol 132:365–386. doi:10.1385/1-59259-192-2:365
Schlumpberger BO, Raguso RA (2008) Geographic variation in floral scent of Echinopsis ancistrophora (Cactaceae); evidence for constraints on hawkmoth attraction. Oikos 117:801–814. doi:10.1111/j.2008.0030-1299.16211.x
Schlumpberger BO, Renner SS (2012) Molecular phylogenetics of Echinopsis (cactaceae): polyphyly at all levels and convergent evolution of pollination modes and growth forms. Am J Bot 99(8):1335–1349. doi:10.3732/ajb.1100288
Schmieder R, Edwards R (2011) Quality control and preprocessing of metagenomic datasets. Bioinformatics 27:863–864. doi:10.1093/bioinformatics/btr026
Selkoe KA, Toonen RJ (2006) Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. Ecol Lett 9:615–629. doi:10.1111/j.1461-0248.2006.00889.x
van Oosterhout C, Hutchinson WF, Wills DP, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538. doi:10.1111/j.1471-8286.2004.00684.x
Walter HE (2010) Floral biology of Echinopsis chiloensis ssp. chiloensis (Cactaceae): evidence for a mixed pollination syndrome. Flora 205:757–763. doi:10.1016/j.flora.2009.12.038
Weizhong L, Jaroszewski L, Godzik A (2001) Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics 17(3):282–283. doi:10.1093/bioinformatics/17.3.282
Acknowledgments
We thank Daniela Aros for assisting in fieldwork, Loreto Carrasco for her help in extraction and amplification of DNA, Paz Montenegro for the map and Lafayette Eaton for the English corrections. This work was supported by Fondecyt 3140354 to CGO, Fondecyt 1141047 to FP and Fondation Franklinia (Ghent University project number E/01394/01).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ossa, C.G., Larridon, I., Peralta, G. et al. Development of microsatellite markers using next-generation sequencing for the columnar cactus Echinopsis chiloensis (Cactaceae). Mol Biol Rep 43, 1315–1320 (2016). https://doi.org/10.1007/s11033-016-4069-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11033-016-4069-9