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27 February 2013 Development and Characterization of Microsatellite Markers in Prunus sibirica (Rosaceae)
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Prunus sibirica L. is an important ecological and economic tree species, widely distributed in the mountain areas of northern and northeastern China, eastern Siberia, and Mongolia (Zhang and Zhang, 2003). Its seeds are used not only in traditional Chinese medicine but also to obtain transformed products, such as almond milk, skin care products, and biodiesel fuel. In 2005, 7.28 million tons of fruit were harvested in China from an area of 1.54 million ha (Zhang and He, 2007). In general, the Siberian apricot is a hardy species. However, it is still vulnerable to late spring frosts that can damage the blossom and the young fruit, seriously impairing fruit production and thus causing major economic losses. For this reason, one of the most crucial goals in apricot breeding is to select late-blooming cultivars that can avoid late spring frosts. Because there is no commercial cultivar, trees have been commonly grown from seeds collected from the wild, and thus the quality cannot be guaranteed, although abundant genetic variation exists in natural populations. However, the level of genetic diversity and population genetic structure of P. sibirica still remain unknown. Molecular markers, especially microsatellites, have proven to be powerful for studying the population genetic variation of wild species because of their abundance and high polymorphisms throughout genomes (Tautz, 1989). Here, we report 19 polymorphic microsatellite markers developed for P. sibirica.

METHODS AND RESULTS

Genomic DNA of P. sibirica was extracted from fresh healthy leaves using a modified cetyltrimethylammonium bromide (CTAB) method (Doyle and Doyle, 1987). Microsatellites were isolated from an individual tree using a magnetic bead enrichment strategy, as described in Nunome et al. (2006), with minor modifications. Approximately 20 µg of genomic DNA was digested with each enzyme, AluI and HaeIII (New England Biolabs, Ipswich, Massachusetts, USA), and then ligated to a double-stranded linker (F: 5′-GTTTAGCCTTGTAGCAGAAGC-3′; R: 5′-pGCTTCTGCTACAAGGCTAAACAAAA-3′) using T4 DNA ligase. To select fragments containing microsatellites, ligation products were hybridized with a 5′-biotinylated repeat oligonucleotide probe (GA)12 at 60°C overnight. Hybridization products were captured with streptavidin-coated magnetic beads (Promega Corporation, Madison, Wisconsin, USA) and recovered by PCR using the linker forward primer (5′-GTTTAGCCTTGTAGCAGAAGC-3′). The PCR products were purified using Wizard SV Gel and PCR Clean-Up System (Promega Corporation), and then the 3′ end of the PCR products was adenylated. The adenylated PCR products were ligated to pGEM-T Easy Vector (Promega Corporation) and then transformed into competent Escherichia coli TOP10 cells (Biomed Tech, Beijing, China). A total of 384 positive clones were selected and tested by PCR using vector primers T3/T7 and primer (AC)12. In total, 166 clones with positive inserts were sequenced with an ABI PRISM 3730x1 DNA sequencer (Applied Biosystems, Foster City, California, USA).

A total of 144 clones contained simple sequence repeat (SSR) loci, of which 124 were suitable for primer design using Primer3 (version 0.40; Rozen and Skaletsky, 2000). The primer length was set to range from 18 to 23 bp, the annealing temperature (Ta) ranged from 55°C to 63°C, amplification product size ranged from 100 to 300 bp, and GC content ranged from 20–80%. The forward primer of each pair was tagged with an M13-forward tag (5′-TGTAAAACGACGGCCAGT-3′). A third primer (M13F), labeled with a fluorescent molecule (FAM, HEX, ROX, TAMRA), was involved in PCR reactions. These primers were initially screened in eight P. sibirica individuals randomly selected from eight wild populations in northern Hebei Province (Appendix 1). The PCR reactions were performed in a GeneAmp PCR System 9700 thermal cycler (Applied Biosystems) in a 10-µL reaction volume that contained 1–10 ng genomic DNA, 5 µL of 2× Taq PCR mix (Biomed Tech), 0.08 µM of the forward primer, and 0.32 µM of each reverse and fluorescent-labeled M13F primer. Conditions of the PCR amplification were as follows: 94°C for 5 min; 30 cycles at 94°C for 30 s, 55°C for 40 s, and 72°C for 45 s; followed by eight cycles at 94°C for 30 s, 53°C for 40 s, and 72°C for 45 s; and a final extension at 72°C for 10 min. PCR products were genotyped using an ABI 3730x1 DNA Analyzer with GeneScan-500LIZ size standard (Applied Biosystems) and GeneMarker software (SoftGenetics, State College, Pennsylvania, USA). A total of 52 primers successfully amplified products with expected size and simple banding patterns. These primers were screened further for polymorphism and transferability using 40 individuals of P. sibirica from three wild populations (Appendix 1) and six individuals of P. armeniaca L. (Appendix 2). Finally, 19 of 52 primers successfully amplified in all individuals of P. armeniaca and revealed high levels of polymorphism (Table 1). Using the software GenAlEx version 6.4 (Peakall and Smouse, 2006), we found the number of alleles per locus varied from three to 11 in three P. sibirica wild populations and from two to eight in P. armeniaca individuals. The observed and expected heterozygosities ranged from 0.063 to 0.917 and 0.295 to 0.876, respectively, in three P. sibirica wild populations, and from 0 to 1 and 0.403 to 0.861 in P. armeniaca (Table 2).

TABLE 1.

Characteristics of 19 microsatellite loci developed in Prunus sibirica.

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TABLE 2.

Variability of 19 SSR loci in three populations of Prunus sibirica and six individuals of P. armeniaca.

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CONCLUSIONS

We reported the development of 19 genomic SSR markers from enriched genomic SSR libraries in P. sibirica, providing valuable tools for genetic studies in P. sibirica and related species, such as population genetics, germplasm identification, and marker-assisted selection.

LITERATURE CITED

  1. J. J. Doyle , and J. L. Doyle . 1987. A rapid DNA isolation procedure for small quantities of leaf tissue. Phytochemical Bulletin 19: 11–15. Google Scholar

  2. T. Nunome , S. Negoro, K. Miyatake , H. Yamaguchi , and H. Fukuoka . 2006. A protocol for the construction of microsatellite enriched genomic library. Plant Molecular Biology Reporter 24: 305–312. Google Scholar

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

  4. S. Rozen , and H. 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

  5. D. Tautz 1989. Hypervariability of simple sequences as a general source for polymorphic DNA markers. Nucleic Acids Research 17: 6463–6471. Google Scholar

  6. J. Y. Zhang , and Y. He . 2007. Development of apricot industry belt in northern China. Northern Fruits 1: 33–35 (in Chinese with English abstract). Google Scholar

  7. J. Y. Zhang , and Z. Zhang [eds.]. 2003. Chinese fruit tree: Apricot. China Forestry Press, Beijing, China. Google Scholar

Notes

[1] This work was supported by grants from the Program for New Century Excellent Talents in University by the Ministry of Education, China (NCET-10-0223), and the Starting Funds from the Office for Science and Technology of Beijing Forestry University, China (2008-03), to X.M.P

Appendices

APPENDIX 1.

Geographic localities of samples of Prunus sibirica used in this study.

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APPENDIX 2.

Samples of Prunus armeniaca used in this study. The samples are deposited at the Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Science.

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Hua-Bo Liu, Jun Liu, Zhe Wang, Li-Ying Ma, Si-Qi Wang, Xing-Gu Lin, Rong-Ling Wu, and Xiao-Ming Pang "Development and Characterization of Microsatellite Markers in Prunus sibirica (Rosaceae)," Applications in Plant Sciences 1(3), (27 February 2013). https://doi.org/10.3732/apps.1200074
Received: 13 February 2012; Accepted: 22 July 2012; Published: 27 February 2013
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