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9 May 2016 Development of Microsatellite Markers for Sargentodoxa cuneata (Lardizabalaceae) Using Next-Generation Sequencing Technology
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Sargentodoxa Rehder & E. H. Wilson is a monotypic genus in Lardizabalaceae. The only extant member, S. cuneata (Oliv.) Rehder & E. H. Wilson, is a deciduous woody liana, with red stem sap and fleshy, dark blue berries. This species is mostly distributed in subtropical China and sporadically occurred in Laos and northern Vietnam (Chen and Tatemi, 2001). The species has wide ecological requirements and is not confined to a specific kind of vegetation (referred to as “generalists”). Therefore, S. cuneata may be an ideal species to infer the evolutionary histories of ancient monotypic genera in subtropical China, e.g., inferring refugial locations and the predominant pattern of migration that has led to their present geographical range (Tian et al., 2015).

In addition, S. cuneata is a valuable source of natural antioxidants because rich phenolic compounds can be extracted from its stems and roots (Krishnaiah et al., 2011). Traditionally, this species is used as a medicine (called Hongteng or Xueteng) in China to treat rheumatic arthritis, acute appendicitis, and painful menstruation (Tang et al., 2012). Furthermore, the long vines of S. cuneata are often cut to bundle objects. Due to long-term harvest, the natural resources of S. cuneata have been declining dramatically and it is now difficult to find individuals in flower and seedlings with diameters larger than 3–4 cm (Wang, 2007). To facilitate the conservation and sustainable use of wild genetic resources of S. cuneata, it is essential to understand patterns of genetic diversity, genetic structure, and gene flow among the natural populations. For this purpose, we applied next-generation sequencing technology (Illumina MiSeq sequencing) to develop a total of 21 microsatellite markers for S. cuneata, which may provide powerful tools for investigating the genetic diversity and spatial genetic structure of this species.

METHODS AND RESULTS

Leaf samples of 36 individuals were collected from three S. cuneata populations in subtropical China (12 from Xixiang, Shaanxi: accession no. JXAU35324; 12 from Tianmu Mountain, Zhejiang: accession no. JXAU35356; and 12 from Le'an, Jiangxi: accession no. JXAU35363) (Appendix 1). All samples were dried and preserved in silica gel. Genomic DNA was extracted from silica gel–dried leaves of S. cuneata using the cetyltrimethylammonium bromide (CTAB) method (Doyle and Doyle, 1987), and microsatellites were isolated using Illumina MiSeq sequencing technology (Illumina, San Diego, California, USA). A single individual from the Xixiang population was used to prepare the microsatellite-enriched library. Approximately 1 µg of genomic DNA was used as template for a library preparation with a NEBNext DNA Prep Master Mix Set for Illumina (New England Biolabs, Ipswich, Massachusetts, USA). The sequencing was performed on the MiSeq Benchtop Sequencer (Illumina) targeting 500-bp fragments using the 2 × 250-bp read length configuration. In this first run, 534,722 sequence reads with an average read length of 255 bp and a total of 136,000 bases were obtained. These data were assembled using CLC Genomic Workbench (CLC bio, Aarhus, Denmark) into 80,760 contigs. QDD version 2.1 Beta (Meglecz et al., 2010) was then used to detect 1740 sequences with simple sequence repeats following the criteria: (1) only a single microsatellite locus present in each sequence; (2) the number of repeats should be greater than six; and (3) the flanking sequences of microsatellites should not be single-copy and must be long enough to design primers. One hundred forty-five sequences with long flanking regions were selected for primer design using Oligo 7.0 (Rychlik, 2007).

The newly designed PCR primer pairs were preliminarily screened for amplification using four samples (two individuals from each population). After optimization, the primer pairs were used to assess genetic polymorphism in 36 S. cuneata individuals. PCR amplifications were performed in a 20-µL reaction volume containing 50–100 ng of genomic DNA, 0.5 µM of each primer, 10 µL 2× Taq PCR MasterMix (0.1 unit Taq Polymerase/µL, 0.5 mM dNTP each, 20 mM Tris-HCl [pH 8.3], 100 mM KCl, and 3 mM MgCl2; Tiangen Biotech, Beijing, China). PCR amplifications were conducted under the following conditions: an initial denaturing for 3 min at 95°C; followed by 32–35 cycles at 94°C for 45 s, at the annealing temperature for each specific primer (optimized for each locus, Table 1) for 45 s, and at 72°C for 45 s; and a final extension step at 72°C for 5 min. All PCR products were checked by electrophoresis on an 8% nondenaturing polyacrylamide gel and visualized with silver staining.

Table 1.

Characteristics of 21 microsatellite primers developed in Sargentodoxa cuneata.

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After amplification, 37 primers showed monomorphism ( Appendix S1 (apps.1600003_s1.doc)), and 21 primer pairs displayed polymorphisms and could be easily genotyped (Table 2). Standard genetic diversity parameters, e.g., the number of alleles per locus (A), expected heterozygosity (He), and observed heterozygosity (Ho), were calculated using GenAlEx version 6.5 (Peakall and Smouse, 2012). The probability of deviation from Hardy–Weinberg equilibrium (HWE) and linkage disequilibrium (LD) between all pairs of loci were tested using GENEPOP version 4.2 (Rousset, 2008). The number of alleles per locus ranged from one to seven, with a mean of 3.4. The expected and observed heterozygosities ranged from 0 to 0.788 and from 0 to 0.917, with averages of 0.546 and 0.276, respectively (Table 2). After the Bonferroni correction (Rice, 1989) had been performed, significant deviations from the HWE (P < 0.05) were seen for 10 loci in the Xixiang population, 11 loci in the Tianmu Mountain population, and seven loci in the Le'an population (Table 2). No significant linkage disequilibrium was detected between any pair of loci.

The marker transferability of the polymorphic primer pairs was tested upon three closely related species in Lardizabalaceae, Stauntonia chinensis DC., Akebia trifoliata (Thunb.) Koidz., and A. quinata (Houtt.) Decne. (five individuals for each species; Appendix 1), using the same PCR conditions as previously described. Eighteen markers (85.7%) were successfully amplified in S. chinensis, 18 (85.7%) in A. trifoliata, and 17 (81.0%) in A. quinata (Table 3).

Table 2.

Results of initial primer screening in populations of Sargentodoxa cuneata.a

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CONCLUSIONS

The 21 polymorphic microsatellite loci will be useful in future molecular analyses of genetic diversity and genetic structure in S. cuneata populations and in elucidation of population demography. This is the second set of SSR markers developed for the Lardizabalaceae family, following the first report in Akebia trifoliata subsp. australis (Diels) T. Shimizu (Li et al., 2009). Amplification success for these markers in the transferability tests extends their potential usefulness to other genera in Lardizabalaceae.

Table 3.

Cross-amplification results showing the number of alleles detected in 21 loci from Sargentodoxa cuneata in three related species.

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ACKNOWLEDGMENTS

The authors thank S. Q. Lei and B. Li for help with the field survey and leaf collection, and Z. R. Zhang, Y. Yang, and J. Liu for help with laboratory work. This study was supported by grants from the National Natural Science Foundation of China (grant no. 31160043, 31160082) and the National Science and Technology Support Program (2012BAC11B02).

LITERATURE CITED

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Appendices

Appendix 1.

Voucher and location information for populations of Sargentodoxa cuneata and species used for cross-amplification in this study. One voucher was collected for each population used; all vouchers were deposited in the herbarium of Jiangxi Agricultural University (JXAU), Nanchang, Jiangxi, China.

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Zhi-Xia Sun, Lin-Jiang Ye, Fei Zhang, Wan Hu, Deng-Mei Fan, and Zhi-Yong Zhang "Development of Microsatellite Markers for Sargentodoxa cuneata (Lardizabalaceae) Using Next-Generation Sequencing Technology," Applications in Plant Sciences 4(5), (9 May 2016). https://doi.org/10.3732/apps.1600003
Received: 8 January 2016; Accepted: 1 February 2016; Published: 9 May 2016
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