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3 November 2016 Microsatellite Primers for the Rare Sedge Lepidosperma bungalbin (Cyperaceae)
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Lepidosperma bungalbin R. L. Barrett (Cyperaceae) is a sedge species of conservation priority (Conservation status P1, Wildlife Conservation Act 1950, Western Australia), restricted to steep midslopes on the Helena and Aurora Range, an ancient banded iron formation in southern Western Australia (Barrett, 2007). Banded iron formation ranges form a small proportion of the total land area of the region and provide rare and fragmented habitat for endemic flora in comparison to the surrounding matrix (Gibson et al., 2012). They are also the focus of exploration and mining activity, and many short-range endemic species confined to the Helena and Aurora Range are of conservation priority because they are potentially threatened by proposed mining activities. Here we report the isolation and characterization of 12 polymorphic microsatellite loci from L. bungalbin, which will be used to examine spatial genetic structure across the species range and to quantify the genetic impact of proposed mining.

METHODS AND RESULTS

Genomic DNA was extracted from fresh leaf material of one individual using the NucleoSpin Plant II method (Macherey-Nagel GmbH and Co., Düren, Germany) (Universal Transverse Mercator [UTM] coordinates 755768E, 6636451N; collector no. Nevill 101; voucher held at the University of Western Australia Herbarium [UWA], Crawley, Western Australia, Australia). We sheared genomic DNA in a volume of 50 µL using a Covaris E220 Focused-ultrasonicator (Covaris, Woburn, Massachusetts, USA). Then, sequencing libraries were prepared following the manufacturer's protocol using Illumina's TruSeq Nano DNA Library Preparation Kit (Life Technologies, San Diego, California, USA). Libraries were assessed by gel electrophoresis (Agilent D1000 ScreenTape Assay; Agilent, Santa Clara, California, USA) and quantified by qPCR using KAPA Library Quantification Kits for Illumina (KAPA Biosystems, Wilmington, Massachusetts, USA). Sequencing was conducted on an Illumina MiSeq (Life Technologies) with 2 × 250-bp paired-end reads and the MiSeq Reagent Kit version 2. We used the PEAR assembler (Zhang et al., 2013) to stitch FASTAQ sequences from the MiSeq sequencing run and the QDD version 3.1.2 pipeline (Meglécz et al., 2014) with default parameters to screen the raw sequences and design primers. Shotgun sequencing produced 6,215,872 reads, and we excluded loci that contained imperfect repeats, where the primer was overlapping the repeat sequence, and where there were poly-‘A’ or poly-‘T’ runs for more than seven base pairs within the sequence.

Sixty potentially suitable microsatellite loci were identified and selected for screening using DNA from six individuals, each from a different population. Microsatellite loci were amplified in 6-µL reaction volumes that contained PCR buffer, Bioline IMMOLASE DNA polymerase and dNTPs provided by Bioline (all Bioline Reagents Ltd., London, United Kingdom), 1.5 mM MgCl2, 0.06 µM of M13-labeled forward locus–specific primer, 0.13 µM of reverse locus–specific primer, 0.13 µM of fluorescently labeled (FAM [Sigma-Aldrich, St. Louis, Missouri, USA]; NED, VIC, and PET [Invitrogen/Thermo Fisher Scientific, Waltham, Massachusetts, USA]) M13 primer, and 15 ng gDNA. Thermocycling was performed with an Applied Biosystems 384-well Veriti Thermal Cycler (Life Technologies), and conditions were as follows: 94°C for 5 min; followed by 11 cycles at 94°C for 30 s, 60°C for 45 s (decreasing 0.5°C per cycle), and 72°C for 45 s; followed by 30 cycles at 94°C for 30 s, 55°C for 45 s, and 72°C for 45 s; followed by 15 cycles at 94°C for 30 s, 53°C for 45 s, and 72°C for 45 s; and a final elongation step at 72°C for 10 min. Markers were pooled together and 1 µL of pooled sample was then applied to a 10-µL mixture of Applied Biosystems Hi-Di Formamide and GeneScan 500 LIZ Size Standard (Life Technologies) and heated at 95°C for 5 min. An Applied Biosystems 3730 DNA Analyzer (Life Technologies) was used to conduct capillary electrophoresis of the product. Run time for a 96-well plate was approximately 1 h (230 V, 32 A). We determined allele sizes using Geneious version 7.1 (Biomatters Ltd., Auckland, New Zealand). Seventeen loci produced readable electropherograms, and five were excluded from further analyses because they amplified inconsistently or were difficult to score accurately (Table 1). Subsequently, 12 loci were selected to complete the study using the conditions described above. Linkage disequilibrium among loci was tested using FSTAT version 2.9.3.2 (Goudet, 1995), and sequential Bonferroni corrections were applied to alpha values to correct for multiple comparisons of linkage disequilibrium (Rice, 1989). GenAlEx version 6.5 (Peakall and Smouse, 2006) was used to assess departure from Hardy–Weinberg equilibrium by χ2 tests for each locus, and MICRO-CHECKER version 2.2.3 (van Oosterhout et al., 2004) was used to examine the possibility of null alleles. Finally, GENODIVE (Meirmans and Van Tienderen, 2004) was used to calculate standard measures of genetic variation for each locus including observed and expected heterozygosity and number of alleles.

Table 1.

Characteristics of 17 microsatellite loci developed in Lepidosperma bungalbin.a

t01_01.gif

After Bonferroni corrections there was no evidence of linked loci, consistent departure from Hardy–Weinberg equilibrium, or evidence for null alleles, for any locus, across all sites. The number of alleles observed for these 12 loci across the three populations ranged from nine to 19 and expected heterozygosity from 0.41 to 0.89 (Table 2). Assessment of cross transferral of loci was not possible given project resources, timelines, and the geographic distribution of closely related taxa. The sequences of the microsatellite loci developed have been deposited in GenBank.

CONCLUSIONS

These markers will add to molecular tools currently available to examine genetic patterns in banded iron formation flora (e.g., Nevill et al., 2010; Binks et al., 2014). The microsatellite loci developed for L. bungalbin in this study will be used to quantify the potential impact of the removal of plants associated with proposed mining on genetic variation within the species. Should mining be approved, they will also facilitate studies of the longer-term genetic consequences of increasing the geographic isolation of remaining plants and any effects on seed and pollen dispersal.

Table 2.

Results of primer screening of 12 polymorphic loci identified in three populations (LB 4, LB 5, and LB 10) of Lepidosperma bungalbin.a

t02_01.gif

ACKNOWLEDGMENTS

The authors thank Polaris Metals Pty Ltd for funding this work and Melissa Hay from Ecologia Environment for assistance with sample collection.

LITERATURE CITED

1.

Barrett, R. L. 2007. New species of Lepidosperma (Cyperaceae) associated with banded ironstone in southern Western Australia. Nuytsia 17: 37–60. Google Scholar

2.

Binks, R. M., M. G. Gardner, M. A. Millar, and M. Byrne. 2014. Characterization and cross-amplification of novel microsatellite markers for two Australian sedges, Lepidosperma sp. Mt Caudan and L. sp. Parker Range (Cyperaceae). Conservation Genetics Resources 6: 333–336. Google Scholar

3.

Gibson, N., R. Meissner, A. S. Markey, and W. A. Thompson. 2012. Patterns of plant diversity in ironstone ranges in arid south western Australia. Journal of Arid Environments 77: 25–31. Google Scholar

4.

Goudet, J. 1995. FSTAT: A computer program to calculate F statistics, version 1.2. Journal of Heredity 86: 485–486. Google Scholar

5.

Meglécz, E., N. Pech, A. Gilles, V. Dubut, P. Hingamp, A. Trilles, R. Grenier, and J. F. Martin. 2014. QDD version 3.1: A user-friendly computer program for microsatellite selection and primer design revisited: Experimental validation of variables determining genotyping success rate. Molecular Ecology Resources 14: 1302–1313. Google Scholar

6.

Meirmans, P. G., and P. H. Van Tienderen. 2004. GENOTYPE and GENODIVE: Two programs for the analysis of genetic diversity of asexual organisms. Molecular Ecology Notes 4: 792–794. Google Scholar

7.

Nevill, P. G., J. M. Anthony, and S. L. Krauss. 2010. Isolation and characterization of microsatellite markers for the banded ironstone endemic Acacia karina (Leguminosae: Mimosaceae) and cross-species amplification with A. stanleyi and A. jibberdingensis. Conservation Genetics Resources 2: 321–323. Google Scholar

8.

Peakall, R., 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.

Rice, W. R. 1989. Analyzing tables of statistical tests. Evolution 43: 223–225. Google Scholar

10.

van Oosterhout, C., W. F. Hutchinson, D. P. 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

11.

Zhang, J., K. Kobert, T. Flouri, and A. Stamatakis. 2013. PEAR: A fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics (Oxford, England) 10.1093/bioinformatics/btt59. Google Scholar
Paul G. Nevill and Grant Wardell-Johnson "Microsatellite Primers for the Rare Sedge Lepidosperma bungalbin (Cyperaceae)," Applications in Plant Sciences 4(11), (3 November 2016). https://doi.org/10.3732/apps.1600083
Received: 12 July 2016; Accepted: 1 September 2016; Published: 3 November 2016
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