Skip to main content
International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2012 Jul 23;13(7):9218–9224. doi: 10.3390/ijms13079218

Development of 20 Microsatellite Markers for Solenocera crassicornis and Their Cross-Species Application in Solenocera melantho

Shufang Liu 1, Hongbo Liu 1,2, Lin Lin 3, Yanjiao Yuan 1,4, Fangqun Dai 1, Zhimeng Zhuang 1,*
PMCID: PMC3430293  PMID: 22942762

Abstract

Twenty microsatellite markers were isolated and characterized for Solenocera crassicornis from a (GT)13-enriched genomic library. Their polymorphisms were investigated using 44 wild individuals from the South Yellow Sea. Our investigation revealed that all the markers were polymorphic. The number of alleles per locus varied from 6 to 19 with an average of 12.35. The observed and expected heterozygosities ranged from 0.400 to 0.977 and from 0.609 to 0.940, with averages of 0.788 and 0.859, respectively. Four loci significantly deviated from Hardy-Weinberg equilibrium after Bonferroni’s correction. Cross-species amplification was also conducted in Solenocera melantho collected from the East China Sea. The result showed that 14 loci could be amplified from Solenocera melantho DNAs. These polymorphic markers would be useful for assessment of genetic variation and population structure of S. crassicornis and S. melantho.

Keywords: Solenocera crassicornis, Solenocera melantho, microsatellite marker, cross-species amplification

1. Introduction

Solenocera crassicornis is an important prawn species in fishery resource and is widely distributed in the adjacent waters of Singapore, Indonesia, India, and the South Yellow Sea and the East Sea of China [1]. S. crassicornis, along with Parapenaeopsis hardwickii, Trachypenaeus curvirostris, Metapenaeopsis dalei, and Palaemon gravieri, constitute the five major fishing prawn species of the Yellow Sea and East China Sea of China. Their catches occupied 80%~90% of the total production in the waters’ dragged prawn resources, and created high economic value [24]. In addition, S. crassicornis occupies an important niche within ecosystems, constituting a large proportion of food for fish [3]. Unfortunately, in recent years, the resource of S. crassicornis has been gradually declining possibly due to over-exploitation and ocean environmental deterioration [5]. As a result, it is necessary and important to carry out research on S. crassicornis to promote the effective conservation and sustainable development of this prawn species. At present, there are few reports on study of S. crassicornis at home and abroad, except for on the fishery and biology [3,4,6].

Species identification and population genetics assessment may lead to a better understanding of the effects of over-exploitation and environmental change on the fishery stocks. The microsatellite markers are highly polymorphic and the data is relatively easy to statistics, which is proven to be an extremely valuable tool for genetic studies and conservation and management of genetic resources [710].

Here, we developed the microsatellite loci in S. crassicornis and characterized the microsatellite markers by genotyping 44 individuals sampled from a wild population. Additionally, cross-species amplification was carried out in 10 individuals of S. melantho to determine the potential for cross utility. This study would provide a technical support to investigate and evaluate the status of the genetic resources of S. crassicornis.

2. Results and Discussion

Twenty microsatellite markers were isolated and characterized for S. crassicornis. The numbers of alleles per locus ranged from 6 to 19 with an average of 12.35. It revealed that all the markers were highly polymorphic. The observed and expected heterozygosities ranged from 0.400 to 0.977 and from 0.609 to 0.940, with averages of 0.788 and 0.859, respectively (Table 1). Four loci deviated from Hardy-Weinberg equilibrium in the tested population after Bonferroni’s correction (adjusted P-value < 0.002), which might be caused by existence of null alleles. Upon the analysis, the following four loci: ZG-18, ZG-38, ZG-47 and ZG-90, were predicted to have null alleles, and they deviated from the HWE. Based on the analysis of the Bonferroni’s correction, there are three loci pairs (ZG-1/ZG-6, ZG-6/ZG-61 and ZG-10/ZG-85) are in linkage disequilibrium (P-value < 0.002).

Table 1.

Characterization of microsatellite loci developed for Solenocera crassicornis and Solenocera melantho.

Loci Genbank accession No. Repeat motif Primer sequence (5′–3′) Size range (bp) Tm (°C) NA HO HE PHW Cross-amplified in Solenocera melantho
ZG-1 JQ954744 (AC)5…(CA)8…(CA)6 F: TTGCCTTCCAAGCACATTCA
R: ATCCCTGTTAGCTCATTCCACA
340–430 55 16 0.9318 0.9135 0.0927 +
ZG-6 JQ954745 (AC)6…(AC)7…(AC)7…(AC)8 F: AGGTTTATTTGGTTTATG
R: ATATCTCGCTATCTCATT
240–480 55 14 0.8974 0.8944 0.1973 +
ZG-7 JQ954746 (TC)7…(CA)14…(AC)36…(AG)11 F: TCTGTATTTCGTCTTGGA
R: GATAGCGGGTTGAGGT
300–410 55 19 0.9545 0.9122 0.8769 +
ZG-9 JQ954747 (TG)5…(GT)5 F: TACACGAATGAGGCATAG
R: GTGGTAACAGACAGACAATC
300–370 55 15 0.8181 0.8657 0.1215 +
ZG-10 JQ954748 (CA)6…(AT)6 F: TCGGAAGTAACATTCAGGAC
R: GGAAGGAAATTCTACGCTAT
330–360 55 7 0.8409 0.7996 0.8719 +
ZG-18 JQ954749 (AT)5…(AC)5…(CA)5…(AC)5…(CA)29 F: CTTTATCTGGTCGGGTTT
R: GACGAAGTGAATAGACTGTG
310–500 55 19 0.4000 0.9395 0.0000*
ZG-20 JQ954750 (TG)7…(GT)5 F: AAAATGGAATGCGATAGAT
R: TTATAGCGAACCAACACCT
230–260 45 11 0.7954 0.8853 0.0149 +
ZG-27 JQ954751 (AC)7 F: GCTTCTCAAGGGAGGCACA
R: GCGGGAAGGATGGAGGTA
270–310 55 6 0.7500 0.7526 0.3399
ZG-29 JQ954752 (AC)17 F: GATATGGCGGTTGAGTGA
R: TACGTGGTTTATGTTGCTTA
310–350 55 10 0.8181 0.8791 0.3072 +
ZG-36 JQ954753 (CA)38 F: AGAGTGACGGTCAAACTGA
R: TAAACGCATTAGGAGACG
300–400 55 17 0.8809 0.9185 0.2256
ZG-38 JQ954754 (GT)12 F: GTCTGCACGGGATTTGTTCT
R: CGCTCGTCCAATTAGGGTAT
260–290 55 7 0.4545 0.7988 0.0000 *
ZG-40 JQ954755 (AGAC)18 F: ATTGCGTTGGAAATGTATC
R: GTCCCTTTTATTGTCTATCTGT
300–450 55 15 0.8409 0.8874 0.1864
ZG-47 JQ954756 (AC)5…(AC)6…(CA)8…(AC)5 F: TTTTGTATTCTTGTTCTGGAT
R: TGATTCGTTGTTTCATTTG
180–210 55 10 0.5814 0.8768 0.0000* +
ZG-61 JQ954737 (AC)5…(CT)5 F: GACGAGGAACAAATCAGA
R: TTGAAGAATAAGAGGGACT
320–410 45 12 0.9772 0.8892 0.9555 +
ZG-66 JQ954738 (AC)14 F: TTCCATCCTATTTCTACTG
R: ATAAGACGTTTACCTACAT
280–330 55 15 0.9772 0.9148 0.9964 +
ZG-67 JQ954739 (AT)5…(TG)5 F: TGGAAGTAACAACTAAACTTTG
R: CAACCCAGAGGTGTCAGA
330–360 55 7 0.5909 0.6091 0.2619 +
ZG-71 JQ954740 (CA)61 F: AAAGGCTGAAATCAAGAAG
R: GAGGAAGAATGAGCGTTAG
220–300 45 13 0.9772 0.8902 0.9736 +
ZG-75 JQ954741 (AC)33 F: CCGAACTGGCACCACTAT
R: AACGGATTCCTATTACAGACAA
210–260 55 12 0.8863 0.8605 0.0513
ZG-85 JQ954742 (TG)51…(GT)6 F: AATGACAACTCTACAGGCTA
R: TCAATTCCAAGTGAATGC
310–400 55 16 0.909 0.9192 0.4320 +
ZG-90 JQ954743 (GT)13 F: ACACTTTCTACATTCCAC
R: GTCACTCATCCATTCAC
180–200 45 6 0.4772 0.7816 0.0003* +

Tm: annealing temperature (°C); NA: number of alleles; HO: observed heterozygosity; HE: expected heterozygosity; PHW: P value for exact test for Hardy-Weinberg equilibrium (HWE);

*

indicated departure from HWE after Bonferroni’s correction (P < 0.002); +: successful in cross-species amplification; −: unsuccessful in cross-species amplification.

Cross-species amplification test showed that 14 of these 20 loci were successfully cross-amplified in the related species of S. melantho (Table 1). It confirmed that microsatellite markers developed in S. crassicornis could be used effectively for related prawn species.

3. Experimental Section

3.1. DNA Extraction

Forty-four individuals of S. crassicornis and ten individuals of S. melantho were collected from the South Yellow Sea and the East China Sea, respectively. Samples were preserved in alcohol and stored at −20 °C until DNA extraction. Genomic DNA was extracted from muscle tissue using a standard traditional the phenol-chloroform procedure.

3.2. Microsatellite-Enriched Library Construction

Microsatellite-enriched library was constructed using the FIASCO (Fast Isolation by AFLP of Sequences Containing Repeats) method [11] with minor betterment. Genomic DNA was digested with Mse I (New England Biolabs, USA) at 37 °C for 3 h, and the digested DNA (10 μL) was ligated to Mse I adaptor (5′-TAC TCA GGA ACT CAT-3′/5′-GAC GAT GAG TCC TGA G-3′). Linker-ligated DNA was amplified in a 25 μL reaction mix using the adapter-specific primer (5′-GAT GAG TCC TGA GTA A-3′). Polymerase chain reaction (PCR) conditions were as follows: 20 cycles at 94 °C for 30 s, 53 °C for 1 min, 72 °C for 1 min. The PCR products were purified using DNAmate (TaKaRa, Japan) and hybridized to a biotin labeled (GT)13 probe. The mixture was denatured at 94 °C for 5 min, then at 53 °C for 15 min. The hybrids were captured with streptavidin-coated magnetic beads (Promega, USA). Unhybridized DNA was washed away, and the remaining DNA was eluted from the magnetic beads and amplified using the adaptor-specific primer and the above PCR program. Following purification, DNA fragments ranging from 500 bp to 1000 bp were selected by separation on 1.5% agarose gels. The fragments were ligated to pMD18-T vectors (TaKaRa, Japan), and transformed into Escherichia coli DH5α competent cells to produce a microsatellite-enriched library.

3.3. Isolation of Microsatellite-Containing DNA Fragments

After amplifying with (GT)13 and M13 primers, 200 positive clones were obtained. The positive clones were sequenced on an ABI 3730 automated DNA sequencer (Applied Biosystems, USA). The sequencing data were scanned using the software SSRHunter V1.3 [12]. Ninety pairs of primers were designed using PRIMER PREMIER5 (Premier Biosoft International, USA) and tested for polymorphism with six S. crassicornis individuals.

3.4. PCR Amplification and Genotyping

After preliminary screening, only 20 polymorphic microsatellite loci were tested on a sample of 44 individuals. PCR for all loci was performed separately in a 25 μL reaction volume containing 0.4 μM of each primer, 0.2 mM dNTPs, 2 mM MgCl2, 1× PCR buffer, 1 U Taq polymerase (Fermentas, Canada) and 50–100 ng DNA. Amplification was carried out with the following thermal profile: 94 °C for 5 min, followed by 35 cycles of 94 °C for 45 s, optimal annealing temperature (Table 1) for 45 s, and 72 °C for 45 s, and a final extension step at 72 °C for 10 min. PCR products were separated on 6% denaturing polyacrylamide gels and visualized by silver-staining.

3.5. Genetic Data Analysis

Allele sizes were estimated according to the pBR322/Msp I marker (Tiangen, China). The variability at each locus was measured in terms of number of alleles, expected heterozygosity and observed heterozygosity, and the Hardy-Weinberg equilibrium and linkage disequilibrium test were conducted using GENEPOP 4.0 [13]. Null allele frequencies were calculated using Micro-Checker 2.2.3 [14]. Significance criteria of all multiple tests were corrected following sequential Bonferroni’s correcting [15].

4. Conclusions

In the present study, microsatellite-enriched genomic library of Solenocera crassicornis was constructed and a total of 20 polymorphic microsatellite DNA markers shown as the first set of microsatellite loci were isolated and characterized. Most of these markers could be amplified successfully in Solenocera esculenta. These loci will prove helpful in the management of fisheries and in the design of conservation strategies.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant No. 31061160187) and Special Fund for Agroscientific Research in the Public Interest (Grant No. 201005013).

References

  • 1.Liu R.Y. Regional character of economic shrimp species in Yellow Sea and East China Sea (in Chinese) Oceanol. Limnol. Sin. 1959;2:35–42. [Google Scholar]
  • 2.Song H.T., Yao G.Z., Yu C.G., Xue L.J. Species composition and quantitative distribution of shrimps in East China Sea (in Chinese) Acta Oceanol. Sin. 2003;25(Suppl 1):S171–179. [Google Scholar]
  • 3.Song H.T., Yao G.Z., Yu C.G., Xue L.J. Study on the biomass distribution and biological characteristics of Solenocera crassiocornis in East China Sea (in Chinese) J. Zhejiang Ocean Univ. Sci. A. 2003;22:305–320. [Google Scholar]
  • 4.Ye S.Z., Zhang Z.L., Ye Q.T. Quantitative distribution and biological characteristics of Solenocera crassicornis in northeast Fujian outer-sea (in Chinese) South China Fish. Sci. 2012;1:24–29. [Google Scholar]
  • 5.Cheng J.H., Dai G.J., Ling J.Z., Liu M. Discussion on management countermeasure of economic shrimps in East China Sea (in Chinese) China Fish. 2003;1:74–75. [Google Scholar]
  • 6.Sukumaran K.K. Studies on the fishery and biology of Solenocera crassicornis (H. Milne Edwards) from Bombay waters. J. Mar. Biol. Assoc. India. 1978;20:32–39. [Google Scholar]
  • 7.Yuan Y.J., Liu S.F., Bai C.C., Liu H.B., Zhuang Z.M. Isolation and characterization of new 24 microsatellite DNA markers for golden cuttlefish (Sepia esculenta) Int. J. Mol. Sci. 2012;13:1154–1160. doi: 10.3390/ijms13011154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Liao M.J., Wang Y.G., Rong X.J., Zhang Z., Li B. Development of new microsatellite DNA markers from Apostichopus japonicus and their cross-species application in Parastichopus parvimensis and Pathallus mollis. Int. J. Mol. Sci. 2011;12:5862–5870. doi: 10.3390/ijms12095862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Adams B.K., Hutchings J.A. Microgeographic population structure of brook charr: A comparison of microsatellite and mark-recapture data. J. Fish Biol. 2003;62:517–533. [Google Scholar]
  • 10.Wennevik V., Skaala O., Titov S., Studyonov I., Naevdal G. Microsatellite variation in populations of Atlantic salmon from north Europe. Environ. Biol. Fishes. 2004;69:143–152. [Google Scholar]
  • 11.Zane L., Bargelloni L., Patarnello T. Strategies for microsatellite isolation: A review. Mol. Ecol. 2002;11:1–16. doi: 10.1046/j.0962-1083.2001.01418.x. [DOI] [PubMed] [Google Scholar]
  • 12.Li Q., Wan J.M. SSRHunter: Development of a local searching software for SSR sites (in Chinese) Hereditas. 2005;27:808–810. [PubMed] [Google Scholar]
  • 13.Rousset F. Genepop’007: A complete re-implementation of the Genepop software for Windows and Linux. Mol. Ecol. Res. 2008;8:103–106. doi: 10.1111/j.1471-8286.2007.01931.x. [DOI] [PubMed] [Google Scholar]
  • 14.Van Oosterhout C., Hutchinson W.F., Wills D.P.M., Shipley P. MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Notes. 2004;4:535–538. [Google Scholar]
  • 15.Rice W.R. Analyzing tables of statistical tests. Evolution. 1989;43:223–225. doi: 10.1111/j.1558-5646.1989.tb04220.x. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Molecular Sciences are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES