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. 2014 Jan 7;2(1):apps.1300059. doi: 10.3732/apps.1300059

Isolation of 16 microsatellite markers for Spiraea alpina and S. mongolica (Rosaceae) of the Qinghai–Tibet Plateau1

Gulzar Khan 2,3,5, Faqi Zhang 2,4,5, Qingbo Gao 2, Xiujie Jiao 2, Pengcheng Fu 2, Rui Xing 2, Jinhua Zhang 2, Shilong Chen 2,6
PMCID: PMC4123384  PMID: 25202596

Abstract

Premise of the study: A set of microsatellite markers were developed to characterize the level of genetic diversity and gene flow in two plant species endemic to the Qinghai–Tibet Plateau, Spiraea alpina and S. mongolica.

Methods and Results: Using the Fast Isolation by AFLP of Sequences COntaining repeats (FIASCO) method, 16 microsatellite loci showed polymorphisms in both species. In two populations of each species, the number of alleles per locus ranged from three to 18 in S. alpina and from four to 30 in S. mongolica.

Conclusions: These microsatellite markers provide an efficient tool for population genetic studies and will be used to assess the genetic diversity and spatial genetic structure of S. alpina and S. mongolica.

Keywords: gene flow, genetic diversity, microsatellite markers, population genetics, Qinghai–Tibet Plateau, Spiraea


Spiraea alpina Pall. and S. mongolica Maxim. (Rosaceae subfam. Spiraeoideae) are perennial shrubs, found in western China and some areas of Mongolia and Siberia. The two alpine plants usually grow on sunny slopes or ridges. They are widespread across the Qinghai–Tibet Plateau and adjacent highlands, at altitudes of 2000–4500 m (Lu et al., 2003). Due to high levels of morphological variation, the genus Spiraea L. has been classified in several ways by different authors into various subgenera, sections, and series (Lu et al., 2003; Potter et al., 2007). A recent phylogeographic analysis of cpDNA variations in S. alpina indicated that this alpine shrub survived in multiple refugia during the Last Glacial Maximum and that earlier glaciations may have triggered deep intraspecific divergence (Zhang et al., 2012). However, the phylogeographic analysis based on one uniparentally inherited cpDNA fragment may only partly recover the phylogeographic history of a species. Biparentally inherited simple sequence repeat (SSR) markers with more polymorphism and information are necessary for a better understanding of the genetic structure and phylogeographic history of S. alpina and S. mongolica. In this study, we isolated 16 polymorphic microsatellite primers to facilitate the investigation in further studies for these two species.

METHODS AND RESULTS

Total genomic DNA was extracted from silica gel–dried leaves of S. alpina following the cetyltrimethylammonium bromide (CTAB) method (Doyle and Doyle, 1987). Microsatellite loci from an enriched (AG)n library were isolated using the Fast Isolation by AFLP of Sequences COntaining Repeats (FIASCO) method with minor modifications (Zane et al., 2002). Approximately 300 ng of genomic DNA were completely digested with MseI (New England Biolabs, Beverly, Massachusetts, USA), and then ligated to an MseI AFLP adapter (5′-TACTCAGGACTCAT-3′/5′-GACGATGAGTCCTGAG-3′) using T4 DNA ligase (New England Biolabs). The diluted digestion-ligation mixture (1:10) was amplified with adapter-specific primers (5′-GATGAGTCCTGAGTAAN-3′). For enrichment, the PCR products were denatured at 95°C for 5 min, then hybridized with two 5′-biotinylated probes, (AC)15 and (AG)15, respectively, in a 250-μL hybridization solution (4× saline sodium citrate [SSC], 0.1% sodium dodecyl sulfate [SDS], 0.5 μmol/L probe) at 48°C for 2 h. Streptavidin-coated magnetic beads (New England Biolabs) were used to separate and capture the DNA fragments hybridized to the probe at room temperature for 20 min, followed by two washing steps: three times in TEN100 (10 mM Tris-HCl, 1 mM EDTA, 100 mM NaCl [pH 7.5]) for 8 min and three times in TEN1000 (10 mM Tris-HCl, 1 mM EDTA, 1 M NaCl [pH 7.5]) for 8 min. The separated single-stranded DNA fragments were amplified with adapter-specific primers as described above. The PCR products, after purification using a CASpure PCR Purification Kit (Sangon, Shanghai, China), were ligated into the pGEM-T Easy Vector (Promega Corporation, Madison, Wisconsin, USA) according to the manufacturer’s instructions, then transformed into Escherichia coli TOP10 competent cells (Trans Gen Biotech, Beijing, China). Transformants were plated, and insert-containing clones were selected by blue-white screening with ampicillin, X-Gal, and isopropyl-β-d-1-thiogalactopyranoside (IPTG). Positive clones were tested by PCR using (AC)10/(AG)10 and M13+/ M13 as primers.

Sequencing reactions and analysis of 120 positive clones were carried out with an ABI 3730xl DNA sequencer (Applied Biosystems, Foster City, California, USA), again following the manufacturer’s instructions. These sequences were analyzed for repeat motif regions of microsatellites using the software SSRHunter (Li and Wang, 2005). Of these, 78 clones had microsatellite motifs, and primers were designed with Primer3 software (Rozen and Skaletsky, 2000). Polymorphisms of all loci with designed primer pairs were assessed with 92 individuals in two populations of each species from Nangqian in Qinghai Province (population code: NQ) and Hongyuan in Sichuan Province (population code: HY), People’s Republic of China (Appendix 1). The PCR reactions were performed in a 15-μL reaction volume containing 0.8 μL of template DNA (10–100 ng), 1.5 μL of 10× buffer, 0.15 μL of dNTPs (10 mM each), 0.5 μL of each primer (10 mM), 5 U of Taq (TaKaRa Biotechnology Co., Dalian, China), and 11.4 μL of ddH2O. The PCR cycling profile included an initial step of 5 min at 95°C; followed by 30 cycles of 50 s at 94°C, 50 s at annealing temperature for each primer (Table 1), and extension for 30 s at 72°C; followed by a final extension step at 72°C for 7 min. PCR products were then electrophoresed by QIAxcel Advanced System (QIAGEN, Hilden, Germany). Out of the 60 primer pairs, 21 pairs generated amplification products of the expected sizes in which 16 primer pairs displayed polymorphisms among the populations of the two species (Table 1).

Table 1.

Characteristics of 16 microsatellite loci developed in Spiraea alpina and S. mongolica.

Ta (°C)
Locus Primer sequences (5′–3′) Repeat motif Fragment size (bp) S. alpina S. mongolica GenBank accession no.
SA1 F: ATGGCACGAACTATTGAATG (GA)29 220–292 52 53 KC894821
R: GAATGACACGCAATCTATCC
SA2 F: TCCACCACAAGCCCAGTC (AG)17 128–168 53 53 KC894833
R: GAGTAACCCAATCACCACAG
SA3 F: GTCAGCGTAATGCGGATG (AG)20 234–280 53 53 KC894822
R: CACAAGGCACCACATAGG
SA4 F: GGAGATCGGCTGAAGAAG (AG)16 116–164 53 53 KC894823
R: CCACACCCAATCACAACT
SA5 F: TTCACATCCAAGCAGTTCA (GA)15 248–256 52 53 KC894824
R: GGTAAGCATCCAAGTCCAT
SA6 F: GGACTTCTGTTCATACCATAC (TC)40 280–320 51 51 KC894825
R: GTCAGCGTAATGCGAATG
SA7 F: TCAATCGCACGACAATCC (CT)8 120–160 53 53 KC894834
R: TCAAACCTCAAACCCTAAT
SA8 F: GCGTCCAAGACTAATCCA (TC)10 119–209 53 53 KC894835
R: ACCGCCTCAGAACTCACC
SA9 F: ACGGACCTGCGGAGAATG (GA)5 137–173 53 53 KC894836
R: CGCTCACAAACCCAACTAACA
SA10 F: GTGAAACGAGCTGAAGGT (AG)27 331–381 50 52 KC894826
R: GCCATCTTGGAGATATACGA
SA11 F: CGAGGTGCTTCAAATTACAA (AG)30 214–238 53 51 KC894827
R: ATGGAGGAGGATGCTTAGT
SA12 F: CAATCGAAGAGTGAAGAAGAG (AG)15 240–302 52 53 KC894828
R: CCTGGTTACTATAGCAATGGA
SA13 F: CTGTTCAACCTACAATCCAA (AG)30 172–228 51 54 KC894830
R: CCAGATCCTAACTACTATCGT
SA14 F: AGAATGCTCGCTACCTGC (TG)8 180–220 53 53 KC894832
R: GATGTTCGGGCTTGCTAC
SA15 F: GCTTGGACGGATGGAGAT (AG)18 160–250 52 54 KC894829
R: TCGCCAGTCTACTTGCTT
SA16 F: CAGAGGGAAGGAGAAGTCA (GA)20 186–250 50 50 KC894831
R: TCCGTCCAAAGTCATCGT

Note: Ta = annealing temperature.

MICRO-CHECKER version 2.2.3 (van Oosterhout et al., 2004) was used to assess null alleles and scoring errors. The number of alleles per locus (A), observed (Ho) and expected heterozygosities (He), deviations from Hardy–Weinberg equilibrium (HWE), and linkage disequilibrium (LD) between all pairs of polymorphic loci were calculated with GENEPOP version 4.0.10 (Rousset, 2008). Across the two populations of S. alpina, A ranged from three to 18, Ho ranged from 0.043 to 0.870, and He ranged from 0.126 to 0.950. In S. mongolica, A ranged from four to 30, Ho ranged from 0.040 to 1.000, and He ranged from 0.544 to 0.968. Some loci showed significant deviation from HWE (Table 2)

Table 2.

Results of initial primer screening in four populations of Spiraea alpina and S. mongolica.a

S. alpina S. mongolica
Population NQ (N = 22) Population HY (N = 23) Population NQ (N = 20) Population HY (N = 27)
Locus A Ho He A Ho He Null alleles A Ho He A Ho He Null alleles
SA1 15 0.600 0.810 10 0.570 0.800 No 6 0.250 0.740 7 0.518 0.630 Yes
SA2 3 0.000 0.250 4 0.087 0.126* Yes 18 1.000 0.833* 25 0.700 0.940 No
SA3 14 0.860 0.830* 8 0.870 0.740 No 13 0.650 0.900 10 0.040 0.814 No
SA4 4 0.000 0.318 3 0.000 0.240 No 14 0.800 0.900* 19 0.788 0.888* No
SA5 18 0.681 0.950 17 0.570 0.900 No 4 0.000 0.544 10 0.410 0.666 No
SA6 13 0.863 0.830* 12 0.600 0.863 No 10 0.650 0.824* 10 0.260 0.814* No
SA7 10 0.681 0.818 7 0.820 0.776 No 11 0.800 0.850* 13 0.741 0.810 No
SA8 9 0.045 0.809 8 0.130 0.420 No 15 0.850 0.863 22 0.518 0.883 No
SA9 9 0.409 0.796 10 0.570 0.857 No 22 0.900 0.912* 22 0.700 0.841 No
SA10 13 0.455 0.763 8 0.470 0.590* No 25 1.000 0.968* 30 1.000 0.963* No
SA11 8 0.600 0.730 11 0.470 0.880 No 9 0.950 0.765* 19 1.000 0.888* No
SA12 18 0.410 0.825 13 0.520 0.862 No 15 0.800 0.810* 14 0.666 0.800* No
SA13 18 0.860 0.936 16 0.870 0.904 No 13 1.000 0.866* 18 1.000 0.880* No
SA14 4 0.000 0.568* 4 0.000 0.652 No 17 0.866 0.913* 25 1.000 0.954 No
SA15 9 0.230 0.630 8 0.280 0.674 No 18 0.800 0.950* 21 0.630 0.910 No
SA16 3 0.000 0.248 3 0.043 0.270* No 18 0.700 0.900 20 0.333 0.764 No
Mean 10.50 0.418 0.694 8.87 0.430 0.659 14.25 0.751 0.846 17.80 0.644 0.840

Note: A = total number of alleles per locus; He = expected heterozygosity; Ho = observed heterozygosity; N = sample size for each population.

a

Locality information: NQ = Nangqian, Qinghai Province; HY = Hongyuan, Sichuan Province. See Appendix 1 for geographic coordinates and voucher information.

*

Significant departure from Hardy–Weinberg equilibrium at P < 0.01.

CONCLUSIONS

The SSR markers developed here are efficient to estimate genetic diversity in S. alpina and S. mongolica. Their use at larger spatial scales will provide detailed information about the distribution of genetic diversity in both species. Fine-scale genetic structure studies will enable us to estimate levels of historical gene flow in these species. Such information is useful for building and testing hypotheses on the history of the Qinghai–Tibet Plateau in response to climatic and geologic changes. The markers are also expected to be helpful in future studies of genetic variation and population ecology in these and other species in the subfamily Spiraeoideae.

Appendix 1.

Locality information for populations of Spiraea alpina and S. mongolica used in the study. The voucher specimens are deposited in the Herbarium of the Northwest Institute of Plateau Biology (HNWP), Xining, Qinghai Province, People’s Republic of China.

Species Population code Population locality Voucher no. Geographic coordinates Altitude (m)
S. alpina NQ Nangqian, Qinghai Province, China Chensl6037 31°58′N, 96°30′E 4320
HY Hongyuan, Sichuan Province, China Chensl6099 32°46′N, 102°21′E 3654
S. mongolica NQ Nangqian, Qinghai Province, China Chensl6291 31°58′N, 96°30′E 4320
HY Hongyuan, Sichuan Province, China Chensl6109 31°58′N, 96°30′E 3654

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