BioOne.org will be down briefly for maintenance on 17 December 2024 between 18:00-22:00 Pacific Time US. We apologize for any inconvenience.
Open Access
How to translate text using browser tools
31 October 2013 Characterization of 10 Microsatellite Loci for Bathysa australis (Rubiaceae)
Talita S. Reis, Maísa Ciampi-Guillardi, Cristina Baldauf, Anete P. Souza, Flavio A. M. Dos Santos
Author Affiliations +

Bathysa australis (A. St.-Hil.) Hook. f. ex K. Schum. (Rubiaceae) is a subcanopy tree that is widespread along the elevational gradient (100–1000 m a.s.l.) of the Atlantic Forest of Serra do Mar in São Paulo State, Brazil. This species is a common plant in parts of the Atlantic Forest (e.g., Ramos et al., 2011) and has an important role in ecosystem functioning, e.g., providing a nectar source to a variety of insects (Andrich, 2008). Furthermore, its bark is used in folk medicine (Germano-Filho, 1999), which indicates its social value in addition to its ecological value. Bathysa australis displays great phenotypic plasticity in leaf size and color along its elevational gradient, is pollinated mainly by bees and wasps (Andrich, 2008), and presents autochoric seed dispersal (Pedroni, 2001). Because we believe the elevational gradient might function as a barrier for B. australis gene flow, the investigation of the spatial distribution of the dispersal, pollination, and genetic diversity of this plant could generate important information regarding its population biology. Above all, the Brazilian Atlantic Forest is significantly threatened (Myers et al., 2000), and the microsatellites developed in this study should serve as tools to evaluate the impacts and define conservation strategies.

METHODS AND RESULTS

We extracted genomic DNA from leaf tissue samples using the DNeasy Plant Mini Kit (QIAGEN, Valencia, California, USA). A microsatellite-enriched library was then developed following Billotte et al. (1999). The DNA samples were digested using the RsaI restriction enzyme (Invitrogen, Carlsbad, California, USA) for 3 h at 37°C, and the resulting fragments were ligated to RsaI adapters for 2 h at 20°C. The fragments containing microsatellites were selected by hybridization with (CT)8- and (GT)8-biotinylated oligonucleotides, followed by capture with Streptavidin MagneSphere Paramagnetic Particles (Promega Corporation, Fitchburg, Wisconsin, USA). The selected DNA fragments were PCR-amplified in a final volume of 100 µL containing 20 µL of selected fragments, 1× PCR buffer, 1.5 mM MgCl2, 200 µM dNTPs, 4 pmol of primer Rsa21, and 2.5 U of Taq DNA polymerase. A PTC-100 thermal cycler (MJ Research, Waltham, Massachusetts, USA) was used with the following program: 95°C for 1 min, followed by 25 cycles of denaturation at 94°C for 40 s, 60°C for 1 min, extension of 72°C for 2 min, and a final extension of 72°C for 5 min. The amplification products were cloned into the pGEM-T Easy Vector (Promega Corporation). Plasmids were transformed into Escherichia coli XL1-Blue competent cells, and positive clones were selected using the β-galactosidase gene and grown overnight in an HM/FM medium with ampicillin. A total of 96 positive clones were bidirectionally sequenced using an automated ABI PRISM 377 sequencer (Applied Biosystems, Foster City, California, USA) with T7 and SP6 primers and the BigDye Terminator version 3.1 Cycle Sequencing Kit (Applied Biosystems). The sequences were assembled and edited using SeqMan Pro (DNAStar Inc., Madison, Wisconsin, USA). The repetitive regions were identified using the Simple Sequence Repeat Identification Tool (Temnykh et al., 2001), and 30 primer pairs were designed using WebSat (Martins et al., 2009). Ten primer pairs amplified microsatellite regions and were selected for screening (Table 1). The remaining loci were discarded due to amplification failures or nonspecific amplification patterns. The forward primer for each pair was labeled with fluorochromes (HEX and TET).

PCR amplifications were performed in a 15-µL volume containing 15 ng DNA, 1× PCR buffer, 0.15 mM each dNTP, 0.8 mM each primer, 0.04% bovine serum albumin (BSA), 1.5 mM MgCl2, and 1 U Taq DNA polymerase. A PTC-100 thermal cycler (MJ Research) was used with the following program: 96°C for 1 min, followed by 30 cycles of denaturation at 94°C for 1 min, 1 min at a specific annealing temperature (Ta), and a final extension of 72°C for 5 min. The obtained products were verified by electrophoresis on 3% agarose gels containing 0.1 mg ethidium bromide per milliliter in 1× TBE buffer and genotyped using 6% denaturing Polyacrylamide gels dyed with silver nitrate (Creste et al., 2001). We estimated the allele sizes by comparison to a 10-bp DNA ladder (Invitrogen).

TABLE 1.

Characteristics of 10 microsatellite markers developed for Bathysa australis.

t01_01.gif

The amplicons were electrophoretically separated using an ABI 377 automated sequencer (Applied Biosystems) with GeneScan 500 TAMRA marker as the size standard (Applied Biosystems). The fragment size and allele identification were determined using GeneMarker version 2.2 software (SoftGenetics, State College, Pennsylvania, USA). Cross-species amplifications were evaluated using five other species from the Rubiaceae family with varying phylogenetic proximity to B. australis: B. mendoncaei K. Schum., B. stipulata (Vell.) C. Presl, and Rustia formosa (Cham. & Schltdl.) Klotzsch (Condamineeae tribe, Ixoroideae subfamily); Rudgea jasminoides (Cham.) Müll. Arg. (Psychotrieae tribe); and Coussarea accedens Müll. Arg. (Coussareeae tribe, Rubioideae subfamily) (Bremer and Eriksson, 2009).

TABLE 2.

Results of initial primer screening of lower (23.3762°S, 45.0806°W) and upper (23.3259°S, 45.0710°W) Bathysa australis populations. Only polymorphic loci are shown.

t02_01.gif

We characterized the preliminary genetic diversity of B. australis populations from lowland (20 individuals; 23.3762°S, 45.0806°W, Ubatuba, São Paulo, Brazil) and upland (20 individuals; 23.3259°S, 45.0710°W, São Luis do Paraitinga, São Paulo, Brazil) Serra do Mar. Descriptive statistics and Hardy–Weinberg equilibrium tests were performed using GenAlEx version 6.5 (Peakall and Smouse, 2006). The same nine loci were polymorphic in both populations (Table 2) and for these the average number of alleles was 8.6, ranging from five to 13 alleles per locus. The observed and expected heterozygosities ranged from 0.333 to 0.900 (average: 0.629) and 0.564 to 0.900 (average: 0.742), respectively. The fixation index ranged from −0.089 to 0.611, with an average of 0.147. Four loci in the lower population and three loci in the upper population showed significant deviations from Hardy–Weinberg equilibrium (P < 0.05). These results indicated some slight excess of homozygotes, which might have resulted from mating between relatives and/or the inbreeding generated by selfing; B. australis is a self-compatible species (Andrich, 2008). All 10 loci amplified successfully in the other Bathysa C. Presl species, but only four primers performed well for Rustia formosa (Table 3); all primers failed for Rudgea jasminoides and Coussarea accedens.

TABLE 3.

Results from the cross-amplification tests using primers designed for Bathysa australis.

t03_01.gif

CONCLUSIONS

The microsatellite markers described here are the first developed for the genus Bathysa and will be useful for genetic, ecological, and conservation management evaluations. Cross-species amplifications suggest that some of these loci may be useful in other species from the tribe Condamineeae (subfamily Ixoroideae).

LITERATURE CITED

1.

M. Andrich 2008. Sistema reprodutivo e polinização em duas espécies arbóreas simpátricas de Bathysa (Rubiaceae). Dissertation, Instituto de Pesquisas, Jardim Botânico do Rio de Janeiro/Escola Nacional de Botânica Tropical, Rio de Janeiro, Brazil. Google Scholar

2.

N. Billotte , P. J. R. Lagoda , A. M. Risterucci , and F. C. Baurens . 1999. Microsatellite-enriched libraries: Applied methodology for the development of SSR markers in tropical crops. Fruits 54: 277–288. Google Scholar

3.

B. Bremer , and T Eriksson . 2009. Time tree of Rubiaceae: Phylogeny and dating the family, subfamilies, and tribes. International Journal of Plant Sciences 170: 766–793. Google Scholar

4.

S. Creste , A. Tulmann Neto , and A. Figueira . 2001. Detection of single sequence repeat polymorphisms in denaturing Polyacrylamide sequencing gels by silver staining. Plant Molecular Biology Reporter 19: 299–306. Google Scholar

5.

P. Germano-Filho 1999. Estudos taxonômicos do gênero Bathysa C.Presl (Rubiaceae, Rondeletieae), no Brasil. Rodriguésia 50: 49–75. Google Scholar

6.

W. S. Martins , D. C. S. Lucas , K. F. S. Neves , and D. J. Bertioli . 2009. WebSat: A Web software for microsatellite marker development. Bioinformatics (Oxford, England) 3: 282–283. Google Scholar

7.

N. Myers , R. A. Mittermeier , C. G. Mittermeier , G. A. B. Fonseca , and J. Ken . 2000. Biodiversity hotspots for conservation priorities. Nature 403: 853–858. Google Scholar

8.

R. Peakall , and P. E. Smouse . 2006. GenAlEx 6: Genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288–295. Google Scholar

9.

F. Pedroni 2001. Aspectos da estrutura e dinâmica da comunidade arbórea na Mata Atlântica de plamície e encosta em Picinguaba, Ubatuba, SP. Dissertation, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil. Google Scholar

10.

E. Ramos , R. B. Torres , R. F. A. Veica , and C. A. Joly . 2011. Estudo do componente arbóreo de dois trechos da Floresta Ombrófila Densa Submontana em Ubatuba (SP). Biota Neotropica 11(2):  http://www.biotaneotropica.org.br/v11n2/en/abstract?inventory+ bn02411022011Google Scholar

11.

S. Temnykh , G. DeClerck , A. Lukashova , L. Lipovich , S. Cartinhour , and S. McCouch . 2001. Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): Frequency, length variation, transposon associations, and genetic marker potential. Genome 11: 1441–1452. Google Scholar

Appendices

APPENDIX 1.

Voucher information for species used in this study.

tA01_01.gif

Notes

[1] This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) through fellowships (CNPq 141590/2010-6, 140813/2008-0, and 308748/2010-7) and financial support (CNPq 474530/2010-8). The authors also thank Projeto Temático Gradiente Funcional (BIOTA/FAPESP 03/12595-7) for logistical support.

Talita S. Reis, Maísa Ciampi-Guillardi, Cristina Baldauf, Anete P. Souza, and Flavio A. M. Dos Santos "Characterization of 10 Microsatellite Loci for Bathysa australis (Rubiaceae)," Applications in Plant Sciences 1(11), (31 October 2013). https://doi.org/10.3732/apps.1300055
Received: 20 June 2013; Accepted: 1 July 2013; Published: 31 October 2013
KEYWORDS
Atlantic forest
Bathysa australis
conservation genetics
Medicinal plant
polymorphism
population ecology
Back to Top