Translator Disclaimer
2 September 2013 Isolation of Microsatellite Markers for the Red Mangrove, Rhizophora mangle (Rhizophoraceae)
Author Affiliations +

In the New World and along the west coast of Africa, three species of the mangrove tree genus Rhizophora L. (Rhizophoraceae) have been identified. Of these, R. mangle L. (red mangrove) is the most widely distributed (Tomlinson, 1986). In terms of interbreeding, R. mangle has a complex relationship with the sympatric R. racemosa G. Mey. and R. harrisonii Leechm. (Céron-Souza et al., 2010), which could potentially be resolved by the use of microsatellite markers. Two studies have previously reported the isolation of microsatellite markers for R. mangle. In Rosero-Galindo et al. (2002), 10 polymorphic loci with between two and seven alleles per locus were reported (26 alleles total). In Takayama et al. (2008), 14 simple sequence repeat (SSR) loci were reported and 11 were shown to be polymorphic, with a total of 32 and 27 alleles in populations from the Pacific and Atlantic coasts of Costa Rica, respectively. The allelic diversity reported for previously isolated microsatellite markers for this species is therefore somewhat low, and this is also the case in subsequent studies that made use of these markers. Arbeláez-Cortes et al. (2007) report a total of 17 alleles for three markers in five studied populations, Pil et al. (2011) report 22 alleles for eight markers in 10 populations, and Sandoval-Castro et al. (2012) report 19 alleles for six markers in 10 populations. For this reason, we isolated and characterized new microsatellite markers for R. mangle, which were then subsequently tested for transferability to R. racemosa and R. harrisonii. These markers present higher allelic diversity than has previously been reported. In conjunction with pre-existing markers, these new markers will permit mating systems analysis, paternity tests, and future studies attempting to resolve the potential hybrid origin of Rhizophora species.

METHODS AND RESULTS

Genomic DNA was isolated from leaf tissue of one adult individual of R. mangle sampled in the Caeté estuary, Bragança, Pará, northern Brazil (0°52′22″S, 46°39′04″W), and used in the development of the enriched library. Herbarium material was deposited at the herbarium of the Institute for Coastal Research in Bragança (HBRA; accession no. 821). Polymorphism was evaluated using the 24 adult trees of R. mangle from Pará, Brazil (0°50′27″S, 46°38′15″W; HBRA 706); São Paulo, Brazil (24°00′21″S, 46°17′59″W); and Florida, USA (25°08′09″N, 80°57′29″W; HBRA 1291). The São Paulo and Florida sites are near the southernmost and northernmost distributional limits of R. mangle, respectively. For the transferability test, we genotyped seven individuals of R. harrisonii and five individuals of R. racemosa.

An enriched library was constructed according to Vinson et al. (2005). Total DNA (50,000 ng) was digested with Sau3I and separated on a 2% agarose gel. Fragments of 300–800 bp were recovered with purification of the gel using QIAquick Gel Extraction kit (QIAGEN, São Paulo, Brazil). DNA fragments were ligated to adapters, hybridized to biotinylated (AG)13 and (TC)13, and the oligofragments separated using streptavidin magnetic beads. Selected fragments were ligated into a pGEM-T Easy Vector (Promega Corporation, Madison, Wisconsin, USA) and transformed in competent E. coli XL1-Blue cells that were grown overnight on 1× Luria–Bertani agar plates containing ampicillin, X-gal, and IPTG. Transformants (white colonies) were diluted in water, and the fragment inserted into the plasmid was amplified using the M13 universal primers (M13F[−20] and M13R[−40]) by PCR. PCR products were sequenced on a MegaBACE 1000 instrument (GE Healthcare, Belo Horizonte, Minas Gerais, Brazil) using dye terminator fluorescent chemistry (Sanger method) with the M13F(−20) primer. The sequences were subsequently edited manually using Sequencher version 4.1.4 software (Gene Codes Corporation, Ann Arbor, Michigan, USA). Primers were designed in the regions flanking AG/CT repeats using Primer3 OUTPUT (Rozen and Skaletsky, 2000) with the following conditions: final amplicon between 100 and 350 bp, average annealing temperature of 55°C, primer length between 18 and 22 bp, and GC content between 40% and 60%. We sequenced 66 clones, and 23 pairs of primers were synthesized. The preliminary polymorphism test was conducted with 12 individuals from the Caeté estuary (Bragança). PCR products were visually compared with the 10-bp ladder in a 10% polyacrylamide gel stained with ethidium bromide.

TABLE 1.

Characteristics of 11 microsatellite loci developed in Rhizophora mangle.

t01_01.gif

From the 23 primers, 11 primers produced PCR products, seven loci were polymorphic, and four loci were monomorphic (RmBra18, RmBra19, RmBra64, and RmBra65; Table 1). Forward primers of the seven loci were fluorescently labeled with 6-FAM (RmBra20, RmBra25, and RmBra59; MWG-Biotech, Ebersberg, Germany) or HEX (RmBra27, RmBra45, RmBra50, and RmBra66; MWG-Biotech). Loci were amplified using PCR in a total volume of 13 µL containing: DNA (5 ng), 1× PCR reaction buffer (10 mM Tris-HCl [pH 8.3], 50 mM KCl, 1.5 mM MgCl2), forward primer and reverse primer (0.15 µM), MgCl2 (1.5 mM), bovine serum albumin (BSA; New England Biolabs, Hitchin, Hertfordshire, United Kingdom; 0.75 mg·mL−1), dNTP (0.5 mM), and 1.3 U Taq polymerase (Invitrogen, Life Technologies, Carlsbad, California, USA). PCR conditions were: denaturation at 96°C for 2 min; 30 cycles of denaturation at 94°C for 15 s, annealing at 50–54°C (Table 1) for 15 s, and extension at 72°C for 15 s; and a final extension at 72°C for 5 min. Transfer of the primers of R. mangle to R. racemosa and R. harrisonii was tested under the same conditions as for R. mangle (described above). Fragments were genotyped on a 96-capillary sequencer MegaBACE 1000 (GE Healthcare). Fragments were analyzed using MegaBACE Fragment Profiler version 1.2 (Amersham Bioscience, Belo Horizonte, Minas Gerais, Brazil) using MegaBACE ET 550-R Rox Size Standard (Amersham Bioscience). Number of alleles per locus, observed and expected heterozygosities, coefficient of fixation index, and Hardy–Weinberg and linkage disequilibrium were calculated using FSTAT (Goudet, 2002). Probabilities of paternity exclusion were estimated using CERVUS (Kalinowski et al., 2007). Frequency of null alleles was estimated using MICRO-CHECKER version 2.2.3 (van Oosterhout et al., 2004).

Results show a total of 90 alleles in the three studied populations (49 in Bragança, 39 in São Paulo, and 42 in Florida), and the number of private alleles varied between one to eight alleles per locus (Table 2). Observed heterozygosity was lower than values of heterozygosity under expected Hardy–Weinberg equilibrium (HWE) for all populations tested, with higher fixation index values for the São Paulo and Florida populations (Table 2). The test of pairwise linkage after the Bonferroni correction showed values higher than the significant value of 0.005, indicating that these loci are not linked and can be used as independent markers. Only one locus, RmBra27, showed significant null alleles using the Oosterhout index (0.26). Fisher's exact test revealed deviations from HWE after Bonferroni correction at two loci for all populations tested, with an excess of homozygotes for the loci RmBra25, RmBra27, and RmBra50 (P = 0.019). The combined exclusion power of all seven loci was 0.998, 0.998, and 0.982 for first parent total exclusion probabilities for the Bragança, São Paulo, and Florida populations, respectively. Transfer of the primers was successful, with six polymorphic markers identified for R. mangle also polymorphic in R. racemosa and R. harrisonii (except RmBra25), while the four monomorphic markers identified for R. mangle were only tested for amplification.

CONCLUSIONS

The high number of private alleles in the studied populations indicates that these loci are useful for studies of genetic divergence, genetic structure, and phylogeography. In addition, the parental exclusion probability values are adequate for progeny analysis and paternity tests for further identification of reproduction barriers and identification of hybridization between species of all American and West African Rhizophora species.

TABLE 2.

Results of primer screening for seven polymorphic microsatellite loci in three populations of Rhizophora mangle.

t02_01.gif

LITERATURE CITED

  1. E. Arbeláez-Cortes , M. F. Castillo-Cárdenas , N. Toro-Perea , and H. Cárdenas-Henao . 2007. Genetic structure of the red mangrove (Rhizophora mangle L.) on the Colombian Pacific detected by microsatellite molecular markers. Hydrobiologia 583: 321–330. Google Scholar

  2. I. Cerón-Souza , E. Rivera-Ocasio , E. Medina , J. A. Jiménez , W. O. McMillan , and E. Bermingham . 2010. Hybridization and introgression in New World red mangroves Rhizophora (Rhizophoraceae). American Journal of Botany 97: 945–957. Google Scholar

  3. J. Goudet 2002. FSTAT: A program to estimate and test gene diversities and fixation indices. Website  http://www2.unil.ch/popgen/softwares/fstat.htm [accessed February 2002]. Google Scholar

  4. S. T. Kalinowski , M. L. Taper , and T. C. Marshall . 2007. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Molecular Ecology 16: 1099–1106. Google Scholar

  5. M. W. Pil , M. R. T. Boeger , V. C. Muschner , M. R. Pie , A. Ostrensky , and W. A. Boeger . 2011. Postglacial north–south expansion of populations of Rhizophora mangle (Rhizophoraceae) along the Brazilian coast revealed by microsatellite analysis. American Journal of Botany 98: 1031–1039. Google Scholar

  6. C. Rosero-Galindo , E. Gaitan-Solis , H. Cárdenas-Henao , J. Tohme , and N. Toro-Perea . 2002. Polymorphic microsatellites in a mangrove species, Rhizophora mangle (L.) (Rhizophoraceae). Molecular Ecology Notes 2: 281–283. Google Scholar

  7. S. Rozen , and H. J. Skaletsky . 2000. Primer3 on the WWW for general users and for biologist programmers. In S. Misener and S. A. Krawetz [eds.], Methods in molecular biology, vol. 132: Bioinformatics methods and protocols, 365–386. Humana Press, Totowa, New Jersey, USA. Google Scholar

  8. E. Sandoval-Castro , R. Muñiz-Salazar , L. M. Enríquez-Paredes , R. Riosmena-Rodríguez , R. S. Dodd , C. Tovilla-Hernández , and M. C. Arredondo-García . 2012. Genetic population structure of red mangrove (Rhizophora mangle L.) along the northwestern coast of Mexico. Aquatic Botany 99: 20–26. Google Scholar

  9. K. Takayama , M. Tamura , Y. Tateishi , and T. Kajita . 2008. Isolation and characterization of microsatellite loci in the red mangrove Rhizophora mangle (Rhizophoraceae) and its related species. Conservation Genetics 9: 1323–1325. Google Scholar

  10. P. B. Tomlinson 1986. The botany of mangroves. Cambridge University Press, Cambridge, United Kingdom. Google Scholar

  11. C. van Oosterhout , W. F. Hutchinson , D. P. M. Wills , and P. Shipley . 2004. MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4: 535–538. Google Scholar

  12. C. C. Vinson , V. C. R. Azevedo , I. Sampaio , and A. Y. Ciampi . 2005. Development of microsatellite markers for Carapa guianensis, a tree species from the Amazon forest. Molecular Ecology Notes 5: 33–34. Google Scholar

Notes

[1] The authors thank T. C. R. Williams for revising the text of the manuscript and the anonymous reviewers for their helpful comments. D.O.R. received a Masters scholarship from the Fundação de Amparo à Pesquisa do Estado do Pará (FAPESPA).

Diana O. Ribeiro, Christina C. Vinson, Dulcivania S. S. Nascimento, Ulf Mehlig, Moirah P. M. Menezes, Iracilda Sampaio, and Marivana B. Silva "Isolation of Microsatellite Markers for the Red Mangrove, Rhizophora mangle (Rhizophoraceae)," Applications in Plant Sciences 1(9), (2 September 2013). https://doi.org/10.3732/apps.1300003
Received: 4 January 2013; Accepted: 15 April 2013; Published: 2 September 2013
JOURNAL ARTICLE
PAGES


SHARE
ARTICLE IMPACT
Back to Top