Development of Expressed Sequence Tag-Single Nucleotide Polymorphism Markers in Swimming Crab, Portunus trituberculatus
Development of Expressed Sequence Tag-Single Nucleotide Polymorphism Markers in Swimming Crab, Portunus trituberculatus
Shaokun Lu1,2, Ronghua Li1,2*, Chunlin Wang1,2, Changkao Mu1,2 and Weiwei Song1
1Key Laboratory of Applied Marine Biotechnology, Ministry of Education, Ningbo University, Ningbo 315211, China
2Collaborative Innovation Center for Zhejiang Marine High-efficiency and Healthy Aquaculture, Ningbo University, Ningbo 315211, China
ABSTRACT
In this study, sixteen SNP (single nucleotide polymorphism) markers were developed from EST (expressed sequence tag) database of Portunus trituberculatus. Polymorphism evaluation was tested on 30 wild individuals of P.trituberculatus collected from Xiangshan, Zhejiang province, China. The minor allele frequency ranged between 0.292 and 0.500, with an average of 0.384. The expected and observed heterozygosities (He and Ho) ranged from 0.422 to 0.545 and from 0.000 to 1.000 respectively. Four loci were found deviate significantly from Hardy-Weinberg equilibrium. Blast results give significant hits for nine confirmed SNP-associated sequences, some of these genes are associated with important immunological functions. These EST-derived SNP markers will be useful tools for fisheries management and conservation programme of P.trituberculatus.
Article Information
Received 20 December 2018
Revised 21 May 2019
Accepted 07 September 2019
Available online 19 May 2021
(early access)
Published 27 January 2022
Authors’ Contribution
RL and CW designed the study. SL conducted the study with the help of CM and WS. SL analyzed the data and wrote the article.
Key words
SNP, Single nucleotide polymorphism, Swimming crab, Portunus trituberculatus
DOI: https://dx.doi.org/10.17582/journal.pjz/20181220171259
* Corresponding author: [email protected]
0030-9923/2022/0002-0969 $ 9.00/0
Copyright 2022 Zoological Society of Pakistan
The swimming crab (Portunus trituberculatus), which belongs to typical euryhaline crab species, is widely distributed in the coastal waters of Korea, Japan, China, and Southeast Asia (Dai et al., 1986). It is also one of the important fishery resources in China. Population analysis based on microsatellite molecular marker has been initiated to facilitate the protection of the natural resources of P. trituberculatus (Guo et al., 2013). Also, studies on the marker assisted selection (MAS) and aquaculture technology have been conducted to promote the production of this species (Liu et al., 2012; Mu et al., 2014; Jin et al., 2015; Liu et al., 2015).
Single nucleotide polymorphisms (SNPs) are the most common class and the smallest unit of genetic variation present in genomes. Because of their high density/frequency, lower mutation rate compared to microsatellite markers, and amenable to high-throughput automated analysis, SNP markers provide a powerful resource for the study of population structure (Morin et al., 2004). Moreover, because SNPs tend to occur in functional genomic regions, they are particularly valuable for characterizing genes associated with complex traits, therefore, they are suitable for genetic evaluation and strategies that employ molecular genetics for selective breeding (Glenn et al., 2005; Sauvage et al., 2007; Salem et al., 2012; Houston et al., 2014; Leitwein et al., 2017). In this study, we report a set of 16 SNP markers derived from expressed sequence tag (EST) database of P. trituberculatus, these novel EST-derived SNP markers should be useful complement to currently available genetic markers of this species.
Material and methods
A total of 14,340 P. trituberculatus EST sequences were downloaded from GeneBank. The EST dataset was aligned and assembled using SeqMan Pro sequence assembly software (DNASTAR Inc., Madison, WI, USA). The contigs that contained four or more sequences were identified for searching candidate SNPs upon visual inspection. In total, 176 sequences with sufficient flanking regions were selected for primer design with PRIMER 5.0 program (http://www.premierbiosoft. com/).
Polymorphism evaluation was tested using 30 wild individuals of adult P. trituberculatus collected randomly from Xiangshan, Zhejiang province, China. Genomic DNA was extracted from the muscle tissue by using a genomic DNA extraction kit (Bio Teke, Beijing, China) following the manufacturer protocols. Polymerase chain reaction (PCR) was performed in 10-μL volumes containing 2×Power Taq PCR Master Mix (Bio Teke, Beijing, China) 5μL, 1μM of each primer set, and about 100ng template DNA. PCR was performed on a Master-cycler gradient thermal cycler (Eppendorf) with the following program: 3 min at 94 °C; 35 cycles of 1 min at 94°C, annealing at 55°C for 1 min, 72°C for 1 min per cycle; followed by 5 min at 72°C. Amplification products were resolved via 2% agarose gel, DL2000 DNA Marker (Takara, Dalian, China) was used as a reference marker for allele size determination. PCR products of clear bands and predicted length were then sequenced in both directions with forward and reverse primers using Sanger technology on the ABI3730 platform (Applied Biosystems).
Alignment of the sequenced fragments was performed using Vector NTI 10.0 (Invitrogen, Carlsbad, CA), and putative SNPs were checked manually. Minor allele frequency (MAF), expected and observed heterozygosities (He and Ho, respectively) were calculated with the software CERVUS 3.0 (Kalinowski et al., 2007). Test for deviation from Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium at each locus were performed using GENEPOP 4.0.10 (Raymond and Rousset, 1995). Sequential Bonferroni corrections (Rice, 1989) were applied for all multiple tests (P<0.05). The putative functions of SNP-associated sequences were searched against the NCBI database (http://www. ncbi.nlm.nih.gov) with E-value of <1.00 E-7 using BLASTX.
Results and discussion
SNP markers provide a powerful resource for genetic researches of genome-wide linkage disequilibrium and association studies, population structure estimation, marker-assisted breeding, individual identification and parentage analysis. In this study, 176 primer pairs were designed. Among them, 39 primer pairs provided readable sequences, and 10 sequences containing 16 polymorphic SNPs were confirmed successfully (Table І).
The minor allele frequency ranged between 0.292 and 0.500, with an average of 0.384. The expected and observed heterozygosities (He and Ho) ranged from 0.422 to 0.545 and from 0.000 to 1.000 respectively. Significant departure from HWE was found at four loci after Bonferroni correction for multiple tests. Significant pairwise linkage disequilibrium was detected in SNPs from the same sequences (PtSNP1a and PtSNP1b, PtSNP2a and PtSNP2b, PtSNP5a and PtSNP5b, PtSNP7a and PtSNP7b), which should be considered when used for population genetics and parentage studies.
To date, genetic markers for population studies of P. trituberculatus have been generally limited to mitochondrial DNA gene and microsatellites (Xu et al., 2009; Guo et al., 2013). By taking advantage of EST database, EST-derived SNPs can be easily discovered, which possess a number of advantages for the study of population structure (Morin et al., 2004). Here, we report 16 SNP markers in P. trituberculatus which will provide a useful complement to currently available genetic markers.
Analysis of gene-based single nucleotide polymorphisms (SNPs) is one of the efficient approaches for discovery of markers that can be used for MAS. In aquatic species, association between SNP in functionally important genes and immune response was reported in many species (Yu et al., 2011; Li et al., 2013; Hao et al., 2015; Santos et al., 2018). In this study, blast results give significant hits for nine confirmed SNP-associated sequences, some of these genes are associated with important immunological functions, such as hemocyanin, lectin and anti-lipopolysaccharide factor, which provide useful resources for MAS programs of P. trituberculatus.
In conclusion, these polymorphic EST-derived SNP markers we developed in the present study were expected to be valuable for researches involving population genetic diversity and marker assisted selection programs of P. trituberculatus.
Acknowledgements
This work was supported by the Grants from Ministry of Agriculture of China & China Agriculture Research System (no: CARS-48), Natural Science Foundation of Zhejiang Province (LY17C190005), Major Program of Ningbo (2017C110007, 2016C10037), Open Fund of Zhejiang Provincial Top Key Discipline of Aquaculture in Ningbo University (xkzsc1505) and KC Wong Magana Fund in Ningbo University.
Statement of conflict of interest
Authors have declared no conflict of interest.
References
Dai, A.Y., Yang. S.L. and Song, Y.Z., 1986. Marine crabs in China Sea. Marine Publishing Company, Beijing, pp. 213-221.
Glenn, K.L., Grapes, L., Suwanasopee, T., Harris, D.L., Li, Y., Wilson, K. and Rothschild, M.F., 2005. Anim. Genet., 36: 235-236. https://doi.org/10.1111/j.1365-2052.2005.01274.x
Guo, E., Cui, Z., Wu, D., Hui, M., Liu, Y. and Wang, H., 2013. Biochem. Syst. Ecol., 50: 313-321. https://doi.org/10.1016/j.bse.2013.05.006
Hao, G., Lin, F., Mu, C., Li, R., Yao, J., Yuan, X., Pan, X., Shen, J. and Wang, C., 2015. Aquaculture, 442: 125-131. https://doi.org/10.1016/j.aquaculture.2015.02.007
Houston, R.D., Taggart, J.B., Cézard, T., Bekaert, M., Lowe, N.R., Downing, A., Talbot, R., Bishop, S.C., Archibald, A.L., Bron, J.E., Penman, D.J., Davassi, A., Brew, F., Tinch, A.E., Gharbi, K. and Hamilton, A., 2014. BMC Genomics, 15: 90. https://doi.org/10.1186/1471-2164-15-90
Jin, M., Wang, M.Q., Huo, Y.W., Huang, W.W., Mai, K.S. and Zhou, Q.C., 2015. Aquaculture, 448: 1-7. https://doi.org/10.1016/j.aquaculture.2015.05.021
Kalinowski, S.T., Taper, M.L. and Marshall, T.C., 2007. Mol. Ecol., 16: 1099-1106. https://doi.org/10.1111/j.1365-294X.2007.03089.x
Leitwein, M., Gunand, B., Pouzadoux, J., Desmarais, E., Berrebi, P. and Gagnaire, P.A. 2017. G3, 7: 1365–1376. https://doi.org/10.1534/g3.116.038497
Li, X., Cui, Z., Liu, Y., Song, C., Shi, G. and Wang, C., 2013. Fish Shellf. Immunol., 34: 1560-1568. https://doi.org/10.1016/j.fsi.2013.03.373
Liu, L., Li, J., Liu, P., Zhao, F.Z., Gao, B.Q. and Du, Y., 2012. Aquaculture, 344: 66-81. https://doi.org/10.1016/j.aquaculture.2012.01.034
Liu, L., Li, J., Liu, P., Zhao, F.Z., Gao, B.Q. and Du, Y., 2015. Aquacul. Res., 46: 850-860. https://doi.org/10.1111/are.12239
Morin, P.A., Luikar,t G., Wayne, R.K. and TSW Group, 2004. Trends Ecol. Evol., 19: 208-216. https://doi.org/10.1016/j.tree.2004.01.009
Mu, C., Song, W., Li, R., Chen, Y., Hao, G. and Wang, C., 2014. Aquaculture, 426–427: 148-153. https://doi.org/10.1016/j.aquaculture.2014.01.006
Morin, P.A., Luikart, G., Wayne, R.K. and SNP Workshop Group, 2004. Trends Ecol. Evol., 19: 208-216. https://doi.org/10.1016/j.tree.2004.01.009
Raymond, M. and Rousset, F., 1995. J. Hered., 86: 248-249. https://doi.org/10.1093/oxfordjournals.jhered.a111573
Rice, R.W., 1989. Evolution, 43: 223-225. https://doi.org/10.1111/j.1558-5646.1989.tb04220.x
Salem, M., Vallejo, R.L., Leeds, T.D., Palti, Y., Liu, S., Sabbagh, A., Rexroad, C.E 3rd. and Yao, J., 2012. PLoS One, 7: e36264-e36264. https://doi.org/10.1371/journal.pone.0036264
Santos, C.A., Andrade, S.C.S. and Freitas, P.D., 2018. Peer J., 6: e5154. https://doi.org/10.7717/peerj.5154
Sauvage, C., Bierne, N., Lapegue, S. and Boudry, P. 2007. Gene, 406: 13-22. https://doi.org/10.1016/j.gene.2007.05.011
Xu, Q.H., Liu, R.L. and Liu, Y., 2009. J. Exp. Mar. Bio. Ecol., 371: 121-129. https://doi.org/10.1016/j.jembe.2009.01.014
Yu, H., He, Y., Wang, X., Zhang, Q., Bao, Z. and Guo, X., 2011. Fish Shellf. Immunol., 30: 757–762. https://doi.org/10.1016/j.fsi.2010.12.015
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