Next Article in Journal
Phenolic Compounds from Halimodendron halodendron (Pall.) Voss and Their Antimicrobial and Antioxidant Activities
Previous Article in Journal
An Imprinted Cross-Linked Enzyme Aggregate (iCLEA) of Sucrose Phosphorylase: Combining Improved Stability with Altered Specificity
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Short Note

Isolation and Characterization of Microsatellite Markers for Passiflora contracta

by
Ana Luíza R. Cazé
1,†,
Raquel A. Kriedt
1,†,
Luciano B. Beheregaray
2,
Sandro L. Bonatto
3 and
Loreta B. Freitas
1,*
1
Laboratory of Molecular Evolution, Department of Genetics, Federal University of Rio Grande do Sul, PO Box 15053, 91501-970 Porto Alegre, RS, Brazil
2
Molecular Ecology Laboratory, School of Biological Sciences Flinders University, GPO Box 2100, Adelaide 5001, Australia
3
Laboratory of Genomic and Molecular Biology, Pontifical Catholic University of Rio Grande do Sul, Ipiranga 6681, 90610-001 Porto Alegre, RS, Brazil
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2012, 13(9), 11343-11348; https://doi.org/10.3390/ijms130911343
Submission received: 27 August 2012 / Revised: 7 September 2012 / Accepted: 8 September 2012 / Published: 12 September 2012
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)

Abstract

:
Passiflora contracta Vitta (Passifloraceae) is an endemic species of the Atlantic Rainforest, one of the most species-rich ecoregions in the world, although extremely endangered. We have developed an enriched microsatellite library in order to fine-scale studies of the genetic structure of P. contracta. Twelve pairs of microsatellite primers were designed, and seven loci were successfully amplified and characterized by genotyping two wild populations of P. contracta. All seven loci were polymorphic, with an average number of alleles found being 4.8 and 5 per population. The cross-species transferability was tested using sister species Passiflora ovalis Vell. Ex Roemer. The development of these markers will contribute to the studies of population genetics in P. contracta as well as future studies concerning diversity patterns in the Atlantic Rainforest, and may also help to establish strategies for the conservation of this species.

1. Introduction

Passiflora contracta Vitta (Passifloraceae) is an endemic species of the Atlantic Rainforest, one of the most species-rich ecoregions in the world. Originally covering 15% of Brazil, this endangered ecosystem has been reduced to less than 8% of its coverage. Despite the anthropic interference, the Atlantic Rainforest still harbors impressively high levels of endemism and diversity [1], characteristic of areas of long-term climate stability, also known as refugia [2]. Although refugia have been proposed in the Atlantic Rainforest [3], these have not been tested by studies of the intraspecific plant genetic diversity due to the lack of information on the genetic diversity of the Atlantic Forest’s vegetation. P. contracta is an excellent species for such a study. This woody vine is distributed along the coast of Brazil, ranging from the Pernambuco to Espirito Santo states (~07–21°S latitude) [4]. The species is characterized by its chiropterophily syndrome, which is not a common feature in the Passifloraceae family [5].
The identification of high-resolution genetic markers within P. contracta is an important step to develop fine-scale investigations of endemism-rich ecosystems and is also an interesting tool for testing the refugia hypothesis. Therefore, the aim of this study was to develop and characterize microsatellite markers in P. contracta and to test their transferability to its sister species, Passiflora ovalis Vell. Ex Roemer (Passifloraceae).

2. Results and Discussion

A total of seven of the 12 primer pairs were successfully amplified; all of them were polymorphic and presented alleles in the expected size range for the two wild populations: Linhares-ES (19°24′S, 40°28′W) and Maraú-BA (14°07′50″S, 38°59′55″W) (Table 1). The characteristics of the microsatellite loci and variability measures across the two wild populations are described in Table 2. The number of alleles per population ranged from two to nine (Linhares) and from three to eight (Maraú). The average alleles found for each population was 5 and 4.8, respectively. The observed and expected heterozygosity ranged from 0.31 to 0.84 (Linhares), and 0.38 to 0.67 (Maraú). Two loci, PC6F7 (Linhares) and PC7H11 (Maraú), showed significant deviations from the Hardy-Weinberg equilibrium (p < 0.007). These findings may be a consequence of the high inbreeding in both populations, which could result from habitat fragmentation since species populations are small and, in general, restricted to preserved areas. Alternatively, the HWE deviation could be due to null alleles, which were indicated by MICRO-CHECKER 2.2.3 for the deviating loci (PC6F7) of the Linhares population, and also for the deviating loci (PC7H11) of the Maraú population. Null alleles were not detected for the remaining loci. One pair of loci (PC5E11 and PC6G11) showed significant linkage disequilibrium for the Linhares population after Bonferroni correction (p < 0.002). However, with no additional information, the physical linkage of the loci cannot be distinguished from disequilibrium due to population processes as nonrandom mating [6].
The transferability of the markers to the sister species P. ovalis was tested for all 12 primer pairs, and showed a low efficiency, with just two loci (PC6G11 and PC7H11) being amplified. This result reinforces the differentiation between these species that were previously considered as a single one.

3. Experimental Section

3.1. Microsatellite-Enriched Library Construction and Isolation of Microsatellite Markers

Genomic DNA was extracted from an individual of P. contracta using the Nucleo Spin Plant II kit (Macherey-Nagel, Düren, Germany), and the repetitive motifs were isolated using an enrichment technique [7] in which the genomic DNA was digested with RsaI and HaeIII and the resulting fragments were linked to two oligonucleotide adaptors. Biotinylated oligonucleotide probes (dGT)10, (dGA)10, (dAGAT)10, (dAACT)10, and (dACAT)10 were hybridized with the digested DNA and selectively restrained by streptavidin magnetic particles (Promega, Madison, Wisconsin, USA). The selected DNA fragments were eluted in 25 μL ultra pure water and amplified by PCR in a total volume of 50 μL. Reactions were conducted with 50 ng of eluted DNA, 1× Colourless GoTaq Reaction Buffer (Promega), 200 mM dNTPs (Promega), 40 pmol of “oligo adapter A” as primer (Sigma-Aldrich, St. Louis, MO, USA), 1.5 mM MgCl2, 5 U of GoTaq Flexi DNA Polymerase (Promega). The PCR conditions were as follows: An initial denaturation at 94 °C for 5 min followed by 35 cycles of denaturation at 94 °C for 1 min, annealing at 56 °C for 1 min and extension at 72 °C for 2 min, with a final extension at 72 °C for 5 min. The enriched library was purified using an UltraClean 15 DNA Purification Kit (MO BIO Laboratories, Carlsbad, CA, USA), linked to the pCR 2.1-TOPO vector (Invitrogen, Carlsbad, CA, USA) and transformed into One Shot TOP10 Chemically Competent Cells (Invitrogen). The plasmid DNA was PCR-amplified using 16 pmol M13(-20) forward and M13(-40) (Sigma-Aldrich), reverse primers, 2.5 U GoTaq Flexi DNA polymerase (Promega), 200 μM of each dNTP (Promega), 2.5 mM MgCl2 (Promega), 1× GoTaq Colourless Reaction Buffer (Promega), and 1 μL of transformed cells grown in 100 μL liquid broth LB. The PCR conditions were as follows: An initial denaturation at 94 °C for 5 min, followed by 40 cycles of denaturation at 94 °C for 1 min, annealing at 55 °C for 1 min, and extension at 72 °C for 3 min, with a final extension at 72 °C for 5 min. A total of 163 positive PCR fragments were purified and sequenced using a MegaBACE™ 1000 automated sequencer (GE Healthcare Biosciences, Pittsburgh, PA, USA), following the DYEnamic™ ET terminator sequencing premix kit with terminal fluorescent labeled protocol according to the conditions were as follows: 4 μL of DYEnamic™ ET terminator sequencing premix, 5 μM of forward/reverse primer, 40 ng of purified PCR products, and ultra pure water to complete a 10 μL volume. This reaction was submitted to 95 °C for 20 s, 50 °C for 15 s and 60 °C for 1 min. A total of 23 clones presented perfect unique microsatellites, but only 12 were suitable for primer design using Primer 3 software [8].

3.2. Genotyping and Data Analysis

The primers were tested for amplification in two wild populations of P. contracta species, Linhares-ES (19°24′S, 40°28′W), n = 20 and Maraú-BA (14°07′50″S, 38°59′55″W), n = 20, and 10 individuals of P. ovalis were tested for cross-amplification. The amplifications were performed in a 15 μL reaction containing ~10 ng template DNA, 1× Taq Platinum reaction buffer (Invitrogen), 200 μM each dNTP (Invitrogen), 2 pmol FAM fluorescently labeled M13(-21) primer [9] and reverse primer, 0.4 pmol forward primer with a 5′-M13(-21) tail, 2.0 mM MgCl2 (Invitrogen), and 0.5 U Taq Platinum DNA polymerase (Invitrogen). The PCR conditions for SSR were as follows: An initial denaturation at 94 °C for 3 min, followed by 35 cycles of denaturation at 94 °C for 20 s, annealing at primer-specific temperatures (50–55 °C) see (Table 2) for 45 s, and extension at 72 °C for 1 min, with a final extension at 72 °C for 15 min. The repeat motif, primer sequences, labeling dye, annealing temperature (Ta °C), and allele size range in base pair, with the M13 tail included, of each primer pair are listed in Table 1.
The fragments were analyzed using MegaBACE™ 1000, based on the ET-ROX 550 size ladder (GE Healthcare). The fragment length and microsatellite genotyping were determined using GENETIC PROFILER 2.0 (GE Healthcare). The allele numbers, expected and observed heterozygosity, Hardy-Weinberg Equilibrium (HWE), and genotypic disequilibrium analyses were performed using ARLEQUIN version 3.5 [10] and FSTAT [11]. MICRO-CHECKER 2.2.3 [12] was used to test for null alleles.

4. Conclusions

The development of polymorphic microsatellite markers will contribute to the population genetic studies of P. contracta, particularly with regard to comparative studies of diversity patterns in the Atlantic Rainforest. These markers may also help to establish strategies for the conservation of priority population groups of this species that inhabits an extremely endangered ecosystem.

Acknowledgments

We thank CNPq, FAPERGS and the ARC for financial support and grants.

References

  1. Myers, N.; Mittermeier, R.A.; Mittermeier, C.G.; Fonseca, G.A.B.; Kent, J. Biodiversity hotspots for conservation priorities. Nature 2000, 403, 853–858. [Google Scholar]
  2. Prance, G.T. Origin and evolution of Amazon flora. Interciencia 1978, 3, 207–222. [Google Scholar]
  3. Carnaval, A.C.; Moritz, C. Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest. J. Biogeogr 2008, 35, 1187–1201. [Google Scholar]
  4. Vitta, F.A.; Bernacci, L.C. A new species of Passiflora in section Tetrastylis (Passifloraceae) and two overlooked species of Passiflora from Brazil. Brittonia 2004, 56, 89–95. [Google Scholar]
  5. Buzato, S.; Franco, A.L. Tetrastylis ovalis: A second case of bat-pollinated passionflower (Passifloraceae). Plant Syst. Evol 1992, 181, 261–267. [Google Scholar]
  6. Hedrick, P.W. Genetics of Populations, 3rd ed; Jones Bartlett Publishers: Boston, MA, USA, 2005; p. 737. [Google Scholar]
  7. Beheregaray, L.B.; Möller, L.M.; Schwartz, T.S.; Chao, N.L.; Caccone, G. Microsatellite markers for the cardinal tetra Paracheirodon axelrodi, a commercially important fish from central Amazonia. Mol. Ecol. Notes 2004, 4, 330–332. [Google Scholar]
  8. Rozen, S.; Skaletsky, H. Primer3 on the WWW for General Users and for Biologist Programmers. In Bioinformatics Methods and Protocols; Krawetz, S., Misener, S., Eds.; Humana Press: Totowa, NJ, USA, 2000; pp. 365–386. [Google Scholar]
  9. Schuelke, M. An economic method for the fluorescent labeling of PCR fragment. A poor man’s approach to genotyping for research and high-throughput diagnostics. Nat. Biotechnol 2000, 18, 233–234. [Google Scholar]
  10. Excoffier, L.G.L.; Lischer, H.E.L. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Res 2010, 10, 564–567. [Google Scholar]
  11. Goudet, J. FSTAT ver 1.2: A computer program to calculate F-Statistics. J. Hered 1995, 86, 485–486. [Google Scholar]
  12. Van Oosterhout, C.; Hutchinson, W.F.; Wills, D.P.M.; Shipley, P. Micro-checker ver2.2.3: Software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Notes 2004, 4, 535–538. [Google Scholar]
Table 1. Characteristics of seven microsatellite markers for Passiflora contracta. For each locus, the name, repeat motif, primer sequence, labeling dye, annealing temperature (Ta), allele size range (bp) and GenBank accession number are shown.
Table 1. Characteristics of seven microsatellite markers for Passiflora contracta. For each locus, the name, repeat motif, primer sequence, labeling dye, annealing temperature (Ta), allele size range (bp) and GenBank accession number are shown.
LocusRepeat motifPrimer sequence (5′–3′)DyeTa (°C)Size (bp)Genbank
PC5E11(AC)7(AG)6F:CTGGTCTTGGATTGTCCTTTG
R:CAAAGTAACTGGTGAGCTTAGGG
FAM54158–170JX575753
PC6E8(GT)8F:TTGCAAATGATAACAAAACACG
R:TATCTCGGATTCCCAAAACC
FAM53165–181JX575754
PC6G11(GA)10F:ACTGGAAGTCAAACGGTGAG
R:GGTGGCTCGAAATTCAAATC
FAM52207–229JX575755
PC7H11(CTT)13F:TGAAATCCCTGTTGTGTGACTC
R:TCCTGAGGGGAGCTGTAGTG
FAM53169–175JX575759
PC6D6(CT)9F:TTTTTGTGAAGGTAATTTGTCA
R:CATGTTGCCTCCATGTTTGA
FAM50162–168JX575757
PC7C12(AC)7F:TGAAATCCCTGTTGTGTGACTC
R:TCCTGAGGGGAGCTGTAGTG
FAM55179–195JX575758
PC6F7(CT)8F:AACGCATTTTTCAGTTTCTGC
R:TGAGACTCCCATTCACCAAG
FAM53230–248JX575756
Table 2. Characterization of microsatellite loci indicating number of alleles per locus (A); expected (HE) and observed (HO) heterozygosity for the two analyzed populations, Linhares-ES (19°24′S, 40°28′W) and Maraú-BA (14°07′50″S, 38°59′55″W), of Passiflora contracta.
Table 2. Characterization of microsatellite loci indicating number of alleles per locus (A); expected (HE) and observed (HO) heterozygosity for the two analyzed populations, Linhares-ES (19°24′S, 40°28′W) and Maraú-BA (14°07′50″S, 38°59′55″W), of Passiflora contracta.
Passiflora contracta

LocusLinhares-ESMaraú-BA


AHEHOAHEHO
PC5E11#60.820110.6428650.636780.60000
PC6E820.314520.3750050.465080.55556
PC6G11#40.376190.4444480.585710.44444
PC7H1130.604840.7500030.652380.38889*
PC6D640.643680.5333340.643080.53846
PC7C1270.796370.6875050.671370.56250
PC6F790.841350.41176*40.576190.50000
mean54.8
#disequilibrium linkage after Bonferroni correction to Linhares-ES population (p < 0.002);
*deviation from Hardy-Weinberg equilibrium (p < 0.007).

Share and Cite

MDPI and ACS Style

Cazé, A.L.R.; Kriedt, R.A.; Beheregaray, L.B.; Bonatto, S.L.; Freitas, L.B. Isolation and Characterization of Microsatellite Markers for Passiflora contracta. Int. J. Mol. Sci. 2012, 13, 11343-11348. https://doi.org/10.3390/ijms130911343

AMA Style

Cazé ALR, Kriedt RA, Beheregaray LB, Bonatto SL, Freitas LB. Isolation and Characterization of Microsatellite Markers for Passiflora contracta. International Journal of Molecular Sciences. 2012; 13(9):11343-11348. https://doi.org/10.3390/ijms130911343

Chicago/Turabian Style

Cazé, Ana Luíza R., Raquel A. Kriedt, Luciano B. Beheregaray, Sandro L. Bonatto, and Loreta B. Freitas. 2012. "Isolation and Characterization of Microsatellite Markers for Passiflora contracta" International Journal of Molecular Sciences 13, no. 9: 11343-11348. https://doi.org/10.3390/ijms130911343

Article Metrics

Back to TopTop