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Development and Characterization of Twenty-Three Novel Polymorphic Microsatellite Markers for Mussel, Mytilus coruscus

PJZ_50_4_1541-1543

 

 

Development and Characterization of Twenty-Three Novel Polymorphic Microsatellite Markers for Mussel, Mytilus coruscus

Zeqin Fu, Yunfang Tian, Yingying Ye*, Pengzhi Qi and Changwen Wu

National Engineering Research Center For Marine Aquaculture, Marine Science and Technology College, Zhejiang Ocean University, No.1 Haida South Road, Changzhi Island, Zhoushan, Zhejiang, 316022, P.R. China

ABSTRACT

Mytilus coruscus is one of the main mussel species in China, with a widely range of aquaculture markets and importantly economic value. In this study, we used one hundred and twenty primers pairs to screen all microsatellite loci and twenty-three polymorphic loci were identified. The number of alleles per loci ranged from six to twenty-one with an average of 12.913 and the allele size varied between 161 and 470 bp. The observed and expected heterozygosity varied from 0.143 to 1.000 and from 0.351 to 0.926, with average values of 0.614 and 0.771, respectively. Eighteen loci accorded with the Hardy-Weinberg Equilibrium (HWE)(P > 0.05). The polymorphism information content (PIC) value ranged from 0.340 to 0.921 with an average of 0.751. These markers will help the further studies, provide more useful tools to choose for researching genetic diversity and population structure and provide more in-depth understanding of Mytilus coruscus.


Article Information

Received 28 September 2017

Revised 28 October 2017

Accepted 13 November 2017

Available online 11 May 2018

Authors’ Contributions

YY conceived and designed the experiments; ZF performed the experiments; YT and YY analyzed the data; PQ and CW contributed with reagents/materials/analysis tools; ZF wrote the paper; Zf and Yt collected and processed the samples.

Key words

Mytilus coruscus, Mussel, Microsatellite markers, Genetic diversity.

DOI: http://dx.doi.org/10.17582/journal.pjz/2018.50.4.sc3

* Corresponding author: yeyingying5559@163.com

0030-9923/2018/0004-1541 $ 9.00/0

Copyright 2018 Zoological Society of Pakistan



The thick shell mussel, Mytilus coruscus (Gould, 1861), belongs to the Mytilidae or true mussels (Mollusca; Bivalvia; Lamellibranchia; Mytiloida; Mytilus). It is an economically important mussel and widely distributed in the coastal waters of the Bohai Sea, the Yellow Sea, the East China Sea, and the South China Sea (Liao et al., 2013). With the high nutritional values, it is extensively cultured as an important shellfish species in Zhoushan archipelago of Zhejiang Province in China (Chang and Wu, 2007). With the advanced breeding technologies, aquaculture of M. coruscus in China has been rapidly expanding, and its cultural production has reached about 50,000 tons in Zhejiang per year (Ye et al., 2012). However, due to the over-exploitation and damage to natural habitats, natural resource of M. coruscus has been significantly decreasing. In 2014, only 19,600 tons of M. coruscus were harvested in Zhejiang province, China (Zhejiang Fisheries Technical Extension Center http://www.zjfishery.com/html/main/bzxxView/2015-01/82624.html). Thus, it is required to investigate the genetic background and make an effective conservation strategy for M. coruscus.

Microsatellites, otherwise known as “Simple Sequence Repeats” (SSR), are tandem arrays of short nucleotide repeats (1-6 base pairs) and are interspersed throughout the genome (Tautz and Renz, 1984; Zhu et al., 2017). They are highly abundant in various eukaryotic genomes including all aquaculture species studied to date. Their high polymorphism and Polymerase Chain Reaction (PCR) based analysis have made them to be one of the most popular genetic markers (Boris et al., 2011; Duran et al., 2009). Microsatellite tracking provides the ability to study the population genetic structure (An et al., 2012), due to their relatively high abundance in the genome, a high mutation rate, polymorphism, codominant Mendelian inheritance and good reproducibility (Matthewa et al., 2009). Microsatellite genotypes has been proved as a powerful tool for accurate genetic assessment of population differentiation and pedigree tracing of hatchery populations from various fishery animals (Li et al., 2006). However, microsatellites are not useful for inter-specific assessment and sequence information needed. Although the use of SSR markers in genetic variation studies of mussel species is published (Ong et al., 2009; Ye et al., 2014), there is less microsatellite marker available for M. coruscus.

The purpose of this study was to develop and characterize microsatellite loci for M. coruscus using high-throughput sequencing technology. These new markers will serve as valuable tools to conduct the genetic diversity and structure of M. coruscus and aid the design of spatial fishery management and conservation strategies in artificial propagation programs for M. coruscus.

 

Materials and methods

In this study, 35 specimens of M. coruscus were collected in Taishan Island, Fujian Province, China. The adductor muscle was taken out and preserved in 100% alcohol until DNA extraction using improved salting out method (Aljanabi and Martinez, 1997). The DNA was diluted to a final concentration of 50 ng/ul and stored at -20°C for further analysis.

The transcription data were used for microsatellite searching and primer designing with Illumina sequencing technology. A total of 21,723,913 paired-end clean reads (NCBI SRA database SRX 1411195) were generated from HiSeq 2000 sequencer (Xu et al., 2016). Online WebSat (http://wsmartins.net/websat/) was utilized to design primers based on the reads containing putative microsatellite regions.

For detection of microsatellite markers, each pair of primer was tested on 35 specimens of M. coruscus, PCR was carried out in volumes of 20µl, containing 15-40 ng of template DNA, 4 pmol of each forward and reverse primer, 10µl CW0716 2×Taq MasterMix (Cwbiotech., Peking, China). PCR amplification was performed using Applied Biosystems Veriti 96-Well Thermal Cycler (Applied Biosystems, Inc., Foster City, CA, USA). The reaction process was as follow, after initial denaturation at 94°C for 3 min, followed by 35 cycles at 94°C for 30s, 55°C-61°C for 30s (each pair of primer was screened in gradient temperature), 72°C for 40s, and final elongation at 72°C for 10 min. In order to evaluate the amplifications, the PCR products were tested on an 8% non-denaturing polyacrylamide gel electrophoresis. Then, the genotypic of PCR products by capillary electrophoresis were performed using the BiopticQsep100 DNA Analyzer (Hangzhou Houze Biotech Company, Zhejiang, China).

For the successful primers, the number of alleles (Na), observed heterozygosity (Ho), expected heterozygosity (He) and P-value of Hardy-Weinberg Equilibrium (HWE) test were obtained by the program GenAlEx 6.501 (Peakall et al., 2006). Polymorphism information content (PIC) (Botstein et al., 1980) was calculated using the PIC_CALC 0.6. Micro-checker 2.2.3 (Van Oosterhout et al., 2004) was used to analyze the null alleles.

 

Results and discussion

Among 120 polynucleotide-repeat microsatellites in M. coruscus, 23 polymorphic loci were successfully amplified from the specimens of M. coruscus. The characteristics of these loci were presented in Supplementary Table I.

The number of alleles per locus ranging from 6 (MC18) to 21 (MC54, MC57 and MC99) with an average of 12.913, and the alleles size (bp) varied between 161 and 470 bp. The observed and expected heterozygosity varied from 0.143 (MC43) to 1.000 (MC31, MC63 and MC76) and from 0.351 (MC44) to 0.926 (MC101), with average values of 0.614 and 0.771, respectively. Five loci (MC22, MC27, MC43, MC49 and MC101) were deviated from Hardy-Weinberg equilibrium significantly (P<0.01). The polymorphism information content (PIC) value ranged from 0.340 (MC44) to 0.921 (MC101) and the average was 0.751.

In this study, we successfully found 18 different microsatellite markers which conformed to the HWE (P > 0.05). However, some loci tested could not attain the predicted effect (i.e., MC22, MC27, MC43, MC49 and MC101). The Wahlund effect, genotypic errors, groupings of relatives and the presences of null alleles could be the reasons for these loci deviations from HWE. It could be because these loci did not exisit in the subset of 35 individuals, or the PCR was influenced by some unknown causes or it may be because of the small sample size. So, MICRO-CHECKER 2.2.3 software was used to test these loci, and null alleles were detected from these five loci. The null alleles perhaps appear variations in SSR flanking sequence, loss of large fragments alleles or differences in the quality requirements of DNA with special loci. The presence of null alleles is part of the main reason due to the five loci deviated from HWE.

Eventually, 23 out of 120 primers pairs were selected as novel polymorphic microsatellite markers. These loci sequences were submitted to the GenBank (GenBank accession numbers: KX423595-KX423617, Supplementary Table I). These new 23 microsatellite loci showed a medium genetic diversity (based on the data of alleles number per locus (Na), observed and expected heterozygosity (Ho and He), HWE and PIC), and suitability for studies of potential value. In addition, these markers will help the further studies, serve as more useful tools for researching genetic diversity and population structure and more in-depth understanding of M. coruscus.

 

Acknowledgments

This study was financially supported by the Open Foundation from Fishery Sciences in the First-Class Subjects of Zhejiang (No.20160002); International Science & Technology Cooperation Program of China (No. 2015DFR30450); Public science and technology research funds projects of ocean (No. 201505025) and Public welfare project in Zhejiang Province (No. 2017C32009).

 

Supplementary material

There is supplementary material associated with this article. Access the material online at: http://dx.doi.org/10.17582/journal.pjz/2018.50.4.sc3

Statement of conflict of interest

Authors have declared no conflict of interest.

 

References

Aljanabi, S.M. and Martinez, I., 1997. Nucl. Acids Res., 25: 4692-4693. https://doi.org/10.1093/nar/25.22.4692

An, H.S., Park, K.J., Cho, K.C., Han, H.S. and Myeong, J.I., 2012. Biochem. System. Ecol., 44: 186-195. https://doi.org/10.1016/j.bse.2012.05.007

Boris, R.B., Xenia, O.C. and Marcela, V.S., 2011. Rev. Mvz Córdoba, 16: 2491-2498. https://doi.org/10.21897/rmvz.1010

Botstein, D., White, R.L., Skolnick, M. and Davis, R.W., 1980. Am. J. Human Genet., 32: 314-331.

Chang, K. and Wu, J., 2007. S. China Fish. Sci., 3: http://d.wanfangdata.com.cn/periodical/nfsc200703005

Duran, C., Appleby, N., Edwards, D. and Batley, J., 2009. Curr. Bioinform., 4: 16-27. https://doi.org/10.2174/157489309787158198

Li, Q., Yu, H. and Yu, R., 2006. Aquaculture, 259: 95-102. https://doi.org/10.1016/j.aquaculture.2006.05.030

Liao, Z., Wang, X.C., Liu, H.H., Fan, M.H., Sun, J.J. and Shen, W., 2013. Fish Shellf. Immunol., 34: 610-616.

Matthewa, L. and Elizabethg, B., 2009. Aquaculture, 295: 22–29. https://doi.org/10.1016/j.aquaculture.2009.06.029

Ong, C.C., Yusoff, K., Yap, C.K. and Tan, S.G., 2009. J. Genet., 88: 153-163. https://doi.org/10.1007/s12041-009-0023-0

Peakall, R. and Smouse, P.E., 2006. Mol. Ecol. Notes, 6: 288-295. https://doi.org/10.1111/j.1471-8286.2005.01155.x

Tautz, D. and Renz, M., 1984. J. mol. Biol., 172: 229-235. https://doi.org/10.1016/S0022-2836(84)80041-8

Van Oosterhout, C., Hutchinson, W.F., Wills, D.P.M. and Shipley, P., 2004. Mol. Ecol. Notes, 4: 535-538. https://doi.org/10.1111/j.1471-8286.2004.00684.x

Xu, M., Jiang, L., Shen, K.N., Wu, C., He, G. and Hsiao, C.D., 2016. Genom. Data, 7: 152-154. https://doi.org/10.1016/j.gdata.2016.01.007

Ye, Y., Wu, C., Guo, B., Zhu, A. and Lv, Z., 2014. Biochem. System. Ecol., 54: 5-7. https://doi.org/10.1016/j.bse.2013.12.015

Ye, Y.Y., Li, J.J., Wu, C.W., Xu, M.Y. and Guo, B.Y., 2012. Biochem. System. Ecol., 45: 1-6. https://doi.org/10.1016/j.bse.2012.07.022

Zhu, W., Wei, Q., Xue, S., Zhang, H., Lv, T. and Zhang, H., 2017. Pakistan J. Zool., 49: 1909-1912. http://dx.doi.org/10.17582/journal.pjz/2017.49.5.sc1

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