Abstract
The marine clam Lutraria rhynchaena is gaining popularity as an aquaculture species in Asia. Lutraria populations are present in the wild throughout Vietnam and several stocks have been established and translocated for breeding and aquaculture grow-out purposes. In this study, we demonstrate the feasibility of utilising Illumina next-generation sequencing technology to streamline the identification and genotyping of microsatellite loci from this clam species. Based on an initial partial genome scan, 48 microsatellite markers with similar melting temperatures were identified and characterised. The 12 most suitable polymorphic loci were then genotyped using 51 individuals from a population in Quang Ninh Province, North Vietnam. Genetic variation was low (mean number of alleles per locus = 2.6; mean expected heterozygosity = 0.41). Two loci showed significant deviation from Hardy–Weinberg equilibrium (HWE) and the presence of null alleles, but there was no evidence of linkage disequilibrium among loci. Three additional populations were screened (n = 7–36) to test the geographic utility of the 12 loci, which revealed 100 % successful genotyping in two populations from central Vietnam (Nha Trang). However, a second population from north Vietnam (Co To) could not be successfully genotyped and morphological evidence and mitochondrial variation suggests that this population represents a cryptic species of Lutraria. Comparisons of the Qang Ninh and Nha Trang populations, excluding the 2 loci out of HWE, revealed statistically significant allelic variation at 4 loci. We reported the first microsatellite loci set for the marine clam Lutraria rhynchaena and demonstrated its potential in differentiating clam populations. Additionally, a cryptic species population of Lutraria rhynchaena was identified during initial loci development, underscoring the overlooked diversity of marine clam species in Vietnam and the need to genetically characterise population representatives prior to microsatellite development. The rapid identification and validation of microsatellite loci using next-generation sequencing technology warrant its integration into future microsatellite loci development for key aquaculture species in Vietnam and more generally, aquaculture countries in the South East Asia region.
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References
Astorga MP (2014) Genetic considerations for mollusk production in aquaculture: current state of knowledge. Front Genet 5:435. doi:10.3389/fgene.2014.00435
Guichoux E, Lagache L, Wagner S, Chaumeil P, Léger P, Lepais O, Lepoittevin C, Malausa T, Revardel E, Salin F (2011) Current trends in microsatellite genotyping. Mol Ecol Resour 11(4):591–611
Sunnucks P (2000) Efficient genetic markers for population biology. Trends Ecol Evol 15(5):199–203. doi:10.1016/S0169-5347(00)01825-5
Castoe TA, Poole AW, de Koning APJ, Jones KL, Tomback DF, Oyler-McCance SJ, Fike JA, Lance SL, Streicher JW, Smith EN, Pollock DD (2012) Rapid microsatellite identification from illumina paired-end genomic sequencing in two birds and a snake. PLoS One 7(2):e30953. doi:10.1371/journal.pone.0030953
Berman M, Austin CM, Miller AD (2014) Characterisation of the complete mitochondrial genome and 13 microsatellite loci through next-generation sequencing for the New Caledonian spider-ant Leptomyrmex pallens. Mol Biol Rep 41(3):1179–1187. doi:10.1007/s11033-013-2657-5
Luo W, Nie Z, Zhan F, Wei J, Wang W, Gao Z (2012) Rapid development of microsatellite markers for the endangered fish Schizothorax biddulphi (Günther) using next generation sequencing and cross-species amplification. Int J Mol Sci 13(11):14946–14955
Peñarrubia L, Sanz N, Pla C, Vidal O, Viñas J (2015) Using massive parallel sequencing for the development, validation, and application of population genetics markers in the invasive bivalve zebra mussel (Dreissena polymorpha). PLoS One 10(3):e0120732. doi:10.1371/journal.pone.0120732
Gardner MG, Fitch AJ, Bertozzi T, Lowe AJ (2011) Rise of the machines—recommendations for ecologists when using next generation sequencing for microsatellite development. Mol Ecol Resour 11(6):1093–1101. doi:10.1111/j.1755-0998.2011.03037.x
Van Neste C, Van Nieuwerburgh F, Van Hoofstat D, Deforce D (2012) Forensic STR analysis using massive parallel sequencing. Forensic Sci Int: Genet 6(6):810–818. doi:10.1016/j.fsigen.2012.03.004
Zavodna M, Bagshaw A, Brauning R, Gemmell NJ (2014) The accuracy, feasibility and challenges of sequencing short tandem repeats using next-generation sequencing platforms. PLoS One 9(12):e113862. doi:10.1371/journal.pone.0113862
Luca M, Nam DX (2011) Hatchery techniques applied for the artificial production of snout otter clam (Lutraria rhynchaena) in small scale farms in Nha Trang City, Vietnam. Advancing Aquaculture Around the World, p 25
Ni L, Li Q, Kong L, Huang S, Li L (2012) DNA barcoding and phylogeny in the family Mactridae (Bivalvia: Heterodonta): evidence for cryptic species. Biochem Syst Ecol 44:164–172. doi:10.1016/j.bse.2012.05.008
Kong L, Li Q (2009) Genetic evidence for the existence of cryptic species in an endangered clam Coelomactra antiquata. Mar Biol 156(7):1507–1515. doi:10.1007/s00227-009-1190-5
Liu H, Zhu JX, Sun HL, Fang JG, Gao RC, Dong SL (2006) The clam, Xishi tongue Coelomactra antiquata (Spengler), a promising new candidate for aquaculture in China. Aquaculture 255(1–4):402–409. doi:10.1016/j.aquaculture.2005.12.027
Gan HM, Tan MH, Thai BT, Austin CM (2016) The complete mitogenome of the marine bivalve Lutraria rhynchaena Jonas 1844 (Heterodonta: Bivalvia: Mactridae). Mitochondrial DNA 27(1):335–336. doi:10.3109/19401736.2014.892104
Li H, Zhang J, Li H, Gao X, He C (2014) Development and characterization of 13 polymorphic microsatellite markers for the Chinese surf clam (Mactra chinensis) through Illumina paired-end sequencing. Conserv Genet Resour 6(4):877–879
Kim E, An H, Kang J, An C, Dong C, Hong Y, Park J (2014) New polymorphic microsatellite markers for the Korean manila clam (Ruditapes philippinarum) and their application to wild populations. Genet Mol Res: GMR 13(4):8163
Nantón A, Arias-Pérez A, Méndez J, Freire R (2014) Characterization of nineteen microsatellite markers and development of multiplex PCRs for the wedge clam Donax trunculus (Mollusca: Bivalvia). Mol Biol Rep 41(8):5351–5357. doi:10.1007/s11033-014-3406-0
Duan C-X, Li D-D, Sun S-L, Wang X-M, Zhu Z-D (2014) Rapid development of microsatellite markers for Calloso bruchus chinensis using Illumina paired-end sequencing. PLoS One 9(5):e95458. doi:10.1371/journal.pone.0095458
Peng Y, Leung HCM, Yiu SM, Chin FYL (2012) IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. Bioinformatics 28(11):1420–1428. doi:10.1093/bioinformatics/bts174
Meglécz E, Costedoat C, Dubut V, Gilles A, Malausa T, Pech N, Martin J-F (2010) QDD: a user-friendly program to select microsatellite markers and design primers from large sequencing projects. Bioinformatics 26(3):403–404. doi:10.1093/bioinformatics/btp670
Blacket MJ, Robin C, Good RT, Lee SF, Miller AD (2012) Universal primers for fluorescent labelling of PCR fragments—an efficient and cost-effective approach to genotyping by fluorescence. Mol Ecol Resour 12(3):456–463. doi:10.1111/j.1755-0998.2011.03104.x
Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30(15):2114–2120. doi:10.1093/bioinformatics/btu170
Zhang J, Kobert K, Flouri T, Stamatakis A (2014) PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30(5):614–620. doi:10.1093/bioinformatics/btt593
Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9(4):357–359. doi:10.1038/nmeth.1923
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A (2012) Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28(12):1647–1649. doi:10.1093/bioinformatics/bts199
Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86(3):248–249
Rice WR (1989) Analyzing tables of statistical tests. Evolution 43(1):223–225. doi:10.2307/2409177
Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4(3):535–538. doi:10.1111/j.1471-8286.2004.00684.x
Cavaleiro NP, Solé-Cava AM, Lazoski C, Cunha HA (2013) Polymorphic microsatellite loci for two Atlantic oyster species: Crassostrea rhizophorae and C. gasar. Mol Biol Rep 40(12):7039–7043. doi:10.1007/s11033-013-2823-9
Chen X, Li Z, Chen L, Cao Y, Li Q (2012) Isolation and characterization of new microsatellite markers in the pen shell Atrina pectinata (Pinnidae). Genet Mol Res 11(3):2884–2887
Kang J-H, Kim B-H, Park J-Y, Lee J-M, Jeong J-E, Lee J-S, Ko H-S, Lee Y-S (2012) Novel microsatellite markers of Meretrix petechialis and cross-species amplification in related taxa (Bivalvia: Veneroida). Int J Mol Sci 13(12):15942–15954
Chacón G, Arias-Pérez A, Méndez J, Insua A, Freire R (2012) Development and multiplex PCR amplification of microsatellite markers in the commercial clam Venerupis rhomboides (Mollusca: Bivalvia). Mol Biol Rep 40(2):1625–1630. doi:10.1007/s11033-012-2211-x
Acknowledgments
Funding for this project was provided by the Government of Vietnam through its Aquaculture Biotechnology programs (606a/HD-KHCN-CNSH).The authors also wish to acknowledge the support of Monash University Malaysia through its Tropical Medicine and Biology Multidisciplinary Platform. We would like to thank Fisheries College for support in this project and Mr. Nguyen Thanh Nhon and Mr. Nguyen Van Ha who helped to collect the samples.
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Thai, B.T., Tan, M.H., Lee, Y.P. et al. Characterisation of 12 microsatellite loci in the Vietnamese commercial clam Lutraria rhynchaena Jonas 1844 (Heterodonta: Bivalvia: Mactridae) through next-generation sequencing. Mol Biol Rep 43, 391–396 (2016). https://doi.org/10.1007/s11033-016-3966-2
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DOI: https://doi.org/10.1007/s11033-016-3966-2