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Identification and development of microsatellite (SSRs) makers of Exbucklandia (HAMAMELIDACEAE) by high-throughput sequencing

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Abstract

Hamamelidaceae (Saxifragales, previously Rosales) comprises approximately six subfamily, 30 genera and 140 species, most of which are Tertiary relicts. Exbucklandia is the only genus of the subfamily Exbucklandioideae, Hamelidaceae, containing only 2–4 species. Of them, the species E. longipetala H. T. Chang is endemic to China and listed as endangered in The Biodiversity Red List of China: Higher Plant, yet some taxonomists put forward that E. longipetala should be merged into E. tonkinensis (Lecomte) H. T. Chang. Currently, there was nearly no phylogeographic studies on this genus possibly due to the deficiency of efficient molecular markers. In this study, we sequenced the genome of E. tonkinensis based on high throughput sequencing technology, and obtained approximately 6 G raw data, which was further de novo assembled into 303,481 contigs. Based on them, 15,326 SSRs were identified from 13,596 contigs, and primers were successfully designed for 10,660 SSRs. A total of 139 paired primers were synthesized, 106 of them were successfully amplified in six Exbucklandia individuals with expected PCR product size, and 24 demonstrated to be polymorphic among three Exbucklandia populations. Accordingly, the expected and observed heterozygosity were between 0.097–0.717 and 0.098–0.583. Based on these efforts, future researches on genetic diversity and population structure of Exbucklandia can be performed to understand its phylogenetic origins and phylogeographic pattern.

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References

  1. Endress PK (1989) A suprageneric taxonomic classification of the Hamamelidaceae. Taxon 38(3):371

    Article  Google Scholar 

  2. Lu A, Zhang ZY (1995) Hamamelidaceae: geographic distribution, fossil history and origin. Acta Phytotaxon Sin 33(4):313–339

    Google Scholar 

  3. Hatmaker EA, Wadl PA, Mantooth K, Scheffler BE, Ownley BH, Trigiano RN (2015) Development of microsatellites from fothergilla × intermediar, (hamamelidaceae) and cross transfer to four other genera within Hamamelidaceae. Appl Plant Sci 3(4):1400123

    Article  Google Scholar 

  4. Meng K, Li M, Fan Q, Tan W, Sun J, Liao W (2016) Isolation and identification of est-ssr markers in Chunia bucklandioides (hamamelidaceae). Appl Plant Sci 4(10):1600064

    Article  Google Scholar 

  5. Sugai K, Setsuko S (2016) Novel microsatellite markers for Distylium lepidotum (Hamamelidaceae) endemic to the Ogasawara Islands. BMC Res Notes 9(1):332

    Article  PubMed  PubMed Central  Google Scholar 

  6. Li ZZ, Tian H, Zhang JJ (2017) Characterization and development of EST-derived SSR markers in Sinowilsonia henryi (Hamamelidaceae). Appl Plant Sci 5(11):1700080

    Article  Google Scholar 

  7. Yin Q, Huang C, Huang Y, Chen S, Ye H, Fan Q, Liao W (2018) Identification and development of microsatellite markers in Hamamelis mollis (Hamamelidaceae). Appl Plant Sci 6(10):e01189

    Article  PubMed  PubMed Central  Google Scholar 

  8. Zhang ZY, Zhang HD (Chang HT), Peter KE (2003) Flora of China. Science Press, Beijing & Missouri Botanical Gardens, St. Louis. Missouri 9: 23–24

  9. Ministry of Ecology and Environment of the People’s Republic of China, Chinese Academy of Sciences (2013) The biodiversity red list of china: higher plant. http://www.mep.gov.cn/gkml/hbb/bgg/201309/t20130912_260061.htm. Accessed 2 Sept 2013

  10. Vink W (1957) Flora Malesiana ser. I. The National Herbarium of the Netherlands 5:363–379

    Google Scholar 

  11. Lakhanpal RN (1958) The Rujada flora of west central Oregon. University of California Publications in Geological Sciences 35:1–66

    Google Scholar 

  12. Gaponoff SL (1984) Palynology of the Silverado formation (Late Paleocene), riverside and orange counties, California. Palynology 8(1):71–106

    Article  Google Scholar 

  13. Smiley C (1985) Late Cenozoic history of the Pacific Northwest: interdisciplinary studies on the Clarkia fossil bed. Pacific Division of the American Association for the Advancement of Science 95–112

  14. Wu JY, Sun BN, Liu YS, Xie SP, Linet ZC (2009) A new species of Exbucklandia (Hamamelidaceae) from the Pliocene of China and its paleoclimatic significance. Rev Palaeobot Palynol 155(1):32–41

    Article  Google Scholar 

  15. Li ZM, Yang XS (1978) Fine tree species: Exbuaklandia. Guangxi For. Sci. 4:13–14

    Google Scholar 

  16. Wright JM, Bentzen P (1994) Microsatellites: genetic markers for the future. Rev. Fish Biol. Fish. 4(3):384–388

    Article  Google Scholar 

  17. Doyle JJ, Doyle JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem. Bull. 19:11–15

    Google Scholar 

  18. Ravi K, Patel Mukesh Jain (2012) Ngsqc toolkit: a toolkit for quality control of next generation sequencing data. PLoS ONE 7(2):e30619

    Article  CAS  Google Scholar 

  19. Hernandez D, François P, Farinelli L, Osterås M, Schrenzel J (2008) De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer. Genome Res 18(5):802–809

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Rozen S, Skaletsky H (1999) Primer3 on the WWW for general users and for biologist programmers. In Bioinformatics methods and protocols. Humana Press, Totowa, p. 365

  21. Fan Q, Chen SF, Li MW, He S, Liao WB (2013) Development and characterization of microsatellite markers from the transcriptome of Firmiana danxiaensis (Malvaceae s.l.). Appl Plant Sci 1(12):1300047

    Article  Google Scholar 

  22. Oosterhout CV, Hutchinson WF, Wills DPM, Shipley P (2010) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Resour 4(3):535–538

    Article  CAS  Google Scholar 

  23. Rousset F (2010) GENEPOP’007: a complete re-implementation of the genepop software for windows and linux. Mol Ecol Resour 8(1):103–106

    Article  Google Scholar 

  24. Peakall R, Smouse PE (2012) Genalex 6.5: genetic analysis in excel. population genetic software for teaching and research an update. Bioinformatics 28(28):2537–2539

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Thiel T, Michalek W, Varshney RK, Graner A (2003) Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley. Theor Appl Genet 106(3):411–422

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We are grateful for collection’s help from Zhao Wanyi, Liu Zhongcheng, the Guangdong Heishiding Natural Reserv and the Limushan National Nature Reserve, Hainan. This work was supported by the National Natural Science Foundation of China (31800175, 31670189, 31570195), Natural Science Foundation of Guangdong Province (2018A0303130109), the Special Program for Science and Technology Basic Research of the Ministry of Science and Technology of China (2013FY111500), the Fourth National Survey on Chinese Material Medical Resources Program for State Administration of Traditional Chinese Medicine of China (2017-152-003) and the Chang Hungta Science Foundation of Sun Yat-sen University.

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Huang, C., Yin, Q., Khadka, D. et al. Identification and development of microsatellite (SSRs) makers of Exbucklandia (HAMAMELIDACEAE) by high-throughput sequencing. Mol Biol Rep 46, 3381–3386 (2019). https://doi.org/10.1007/s11033-019-04800-z

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