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International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2011 Jun 15;12(6):4021–4026. doi: 10.3390/ijms12064021

Development of 30 Novel Polymorphic Expressed Sequence Tags (EST)-Derived Microsatellite Markers for the Miiuy Croaker, Miichthys miiuy

Tianjun Xu 1, Dianqiao Sun 1, Yuena Sun 1, Rixin Wang 1,*
PMCID: PMC3131606  PMID: 21747722

Abstract

Expressed sequence tags (ESTs) can be used to identify microsatellite markers. We developed 30 polymorphic microsatellite markers from 5053 ESTs of the Miichthys miiuy. Out of 123 EST derived microsatellites for which PCR primers were designed, 30 loci were polymorphic in 30 individuals from a single natural population with 2–13 alleles per locus. The observed and expected heterozygosities were from 0.1024 to 0.7917 and from 0.2732 to 0.8845, respectively. Nine loci deviated from the Hardy-Weinberg equilibrium, and linkage disequilibrium was significant between 22 pairs of loci. These polymorphic microsatellite loci will be useful for genetic diversity analysis and molecule-assisted breeding for M. miiuy.

Keywords: microsatellite, Expressed sequence tags (ESTs), Miichthys miiuy

1. Introduction

Miiuy croaker, Miichthys miiuy, is a promising marine fish species for culture in China and is distributed throughout eastern China ([13]. Although it is an important commercial fish species, little is known about the genetic information of miiuy croaker. There are no abundant molecular markers such as microsatellites isolated from this species. Lack of enough polymorphic molecular markers has limited development of molecular phylogeny, population structure, and conservation genetics and assisted selective breeding in this species. Thus, screening for polymorphic microsatellite or other molecular markers is necessary for analyzing genetic information in the miiuy croaker. Microsatellites are useful molecular markers to study population structure and genetic evolutionary information [4]. We have published 12 polymorphic microsatellite markers derived from two genomic libraries [5]. Up-to-date, only a few microsatellies markers are available for research in miiuy croaker.

There are many approaches for the development of microsatellite markers such as screening DNA or cDNA libraries for repeat motifs using hybridization and sequencing candidate clones [6], isolation from randomly amplified polymorphic DNA products [7], bioinformatic mining from database [8], etc. In general, the development of microsatellite markers has been limited by the labor and time required to construct, enrich, and sequence genomic libraries [9]. However, the development of microsatellite markers from expressed sequence tag (EST) database provides a rich source of valuable functional molecular markers. Herein, 30 polymorphic microsatellite markers were developed by bioinformatic mining EST sequences from M. miiuy.

2. Materials and Methods

We have constructed a normalized cDNA library from the spleen of the miiuy croaker. A total of 5053 ESTs from the library were sequenced [10]. The EST sequences were screened for mono-, di-, tri-, tetra-, penta-, and hexanucleotide repeats, 491 sequences contained repeat motifs. Primers for these partial loci were designed using PRIMER PREMIER 5.0 software (PREMIER Biosoft International, CA, USA). One hundred and twenty-three primer pairs were designed successfully. Some possessed only few repeats, which held less potential for useful polymorphism.

Genomic DNA was prepared from 30 individuals of miiuy croaker were captured from the Zhoushan fishing ground of the East China Sea. Total genomic DNA was extracted from gills using the TIANamp Genomic DNA Kit (Tiangen) following the manufacturer’s instructions. PCR amplifications were carried out in 25-μL volumes containing 2.5 μL of 10× PCR buffer, 1.5 mM MgCl2, 0.2 mM dNTPS, 0.2 μM of the forward and reverse primers, and 1.5 units of Taq polymerase (Takara). Cycling conditions were 94 °C for 4 min followed by 30 cycles of 94 °C for 40 s, annealing temperature for 45 s (see Table 1), and 72 °C for 40 s, followed by 1 cycle of 72 °C for 5 min and then holding at 4 °C. PCR amplification was performed on an ABI 9700 thermal cycler. Denatured amplified products were separated on 6% denaturing polyacrylamide (19:1 acrylamide:bis-acrylamide) gels using silver staining [6]. A denatured pBR322 DNA/MspI molecular weight marker (Tiangen) was used as a size standard to identify alleles. POPGENE32 [11] and ARLEQUIN 3.11 software [12] were used to calculate the number of alleles, observed (HO) and expected (HE) heterozygosity, violation of Hardy-Weinberg equilibrium (HWE) expectations and genotypic linkage disequilibrium. All results for multiple tests were corrected using sequential Bonferroni correction [13].

Table 1.

Characterization of 30 polymorphic expressed sequence tags (EST)-derived microsatellite markers in M. miiuy.

Locus GenBank Accession No. Repeat Motif Gene Primer (5′-3′) [Forward (above) and Reverse (below)] Tm (°C) No. of Alleles Size range (bp) No. of Null Alleles HO
HE
P-Value
Mimi-4-C07 GW668081 (GAA)5 Ras-related protein Rab-35 TGAGGCACAATATGATGG
ACCGAGGACTTGGCTACT
52 5 249–288 1 0.1481
0.2732
0.0286
Mimi-5-B04 GW668148 (AGTCAG)3 unknown CTACCGCTGCTCTTCTGG
GATGGCTGGTCTACTTCG
49 4 144–162 0 0.4286
0.4662
0.0143
Mimi-5-G02 GW668197 (AGA)5 NADH-cytochrome b5 reductase 2 TGTCCGTGCTGTTCTTCC
ATGGCTTATGTCCTGTTTCT
49 5 157–169 0 0.2800
0.3502
0.5507
Mimi-8-D03 GW668391 (T)14 unknown TTCAGTCAGGAGATTCAGGGTG
CAGCGGTTCAAACGGTCA
48 6 119–128 1 0.4231
0.7360
0.0020
Mimi-13-G10 GW668718 (TTTG)5 unknown GCGACAACGCAGACAGGA
CTTGGGCGGATGGTAGGA
52 3 108–116 0 0.5217
0.6309
0.1552
Mimi-16-A03 GW668869 (T)15 Cytochrome c TGGAGAACCCAAAGAAAT
CCACAAAGGAGCGTCATA
52 7 282–297 1 0.3793
0.8119
0.0000 *
Mimi-16-E10 GW668916 (TAGCT)5 unknown GTTCTTTCACTGGCATCT
GCTGTTTCCACCTGTTTT
50 6 189–224 1 0.4483
0.6062
0.0262
Mimi-16-H01 GW668939 (T)12 unknown CAGTTGTGGGTTTGTTTG
TGTGGCGATGTTTCTTGT
52 7 137–150 1 0.5909
0.8478
0.0117
Mimi-21-G10 GW669314 (TTTAT)3 phosphatidic acid
phosphatase type 2B
GAGCGGGCTTTCCATTCA
TTCCCAAATCTGGTGTCTCG
52 2 177–182 1 0.2222
0.3522
0.0636
Mimi-28-G08 GW669768 (A)14 unknown GGGGAAGCACTTTATG
TCTTAGCGTGTTCTCGT
52 5 199–203 1 0.1538
0.6380
0.0000 *
Mimi-29-C05 GW669810 (AGG)5…(T)16 similar to transmembrane protein AGCCCTCCTCTGCTGTGA
CTGTTGCCTCCTGCCTGT
52 5 119–126 1 0.2759
0.5590
0.0311
Mimi-32-A10 GW669955 (A)14N12(T)17 Transmembrane protein 32 precursor GAACCACCCATCCTTTTA
CTTTGCCCCTTCTGTCTA
52 6 226–246 1 0.4348
0.7739
0.0008
Mimi-32-B08 GW669962 (A)14…(T)14 unknown CGTCGCACCAAGAATGAG
TGAAACCTACCGTCTACAAAT
50 5 236–245 1 0.3846
0.7398
0.0006 *
Mimi-33-G06 GW670085 (CT)10N20(CA)9 unknown GGTAGGAGACTGGGTGGT
CAATGTTTCAGGCAAATGTA
50 5 259–279 1 0.4815
0.6723
0.0581
Mimi-34-A09 GW670103 (A)13 unknown TTTGGGTCACTAAATGGT
CGTCTGTAAAGCAGGTAA
50 6 221–242 1 0.5172
0.7992
0.0244
Mimi-35-E08 GW670215 (T)12 unknown ACGCACCCAACAACTCAG
ATGCTCATCTCCGCCTTA
50 3 175–182 1 0.1923
0.3288
0.0995
Mimi-36-C02 GW670261 (TTTTC)3 ATPase, Ca++ transporting, plasma membrane 1a AATATCCCTGCCCTGCTA
TGTTCGCCATTGTCTTGC
50 4 207–227 1 0.1034
0.3575
0.0001 *
Mimi-40-C05 GW670563 (A)13 unknown GTGTAACAAATAACCCTCG
TGCTGCTCGTCACAATAA
50 4 131–143 1 0.4800
0.7224
0.0152
Mimi-40-E05 GW670585 (AAT)5 Krueppel-like factor 6 AGGGCTCTGATCCATACA
TTCCGAAGTGCTCTACAA
50 6 219–243 1 0.1333
0.4418
0.0037
Mimi-40-H12 GW670618 (CCT)5 unknown TCATCAGCACCAGCCTCT
CACATCCTCTTACCTCCTATCT
55 3 233–239 0 0.3704
0.3934
0.0136
Mimi-41-E11 GW670665 (GAA)5 unknown CCTCCTTCACCTCACCTT
ACATCTGTCCAGCCGTTT
52 3 238–244 1 0.1379
0.4120
0.0002 *
Mimi-42-E04 GW670734 (ATA)7 interleukin-8 receptor
CXCR1
CATTCATCACGGCTCCTT
TTCCCACTCTTATCTATCCA
48 6 163–181 0 0.7200
0.8196
0.1213
Mimi-42-G06 GW670752 (TCC)6 unknown TTGTTGTCTCGGTGATGG
GACTCCTGCTGTTGCTCC
52 6 139–181 0 0.3750
0.4787
0.4739
Mimi-43-H04 GW670839 (TTTC)6 unknown GCTTCCTGTCCCGTTTAT
TTTGCTCCCGTGGGTTAT
52 13 141–217 1 0.6552
0.8845
0.6188
Mimi-49-C10 GW671186 (A)26 eIF5A CGGCTTTACTTCAGTGGTT
TCTCCTCCTCGGTTGTCG
54 7 180–190 1 0.4583
0.8032
0.0192
Mimi-52-H10 GW671455 (GA)9(CTGT)4… (T)14 unknown ACGCATTTGTTTACTTTCTC
CACCACCATTCAGTTTCT
50 4 188–202 1 0.4074
0.7939
0.0001 *
Mimi-54-A11 GW671541 (CTGGTC)6 unknown AACCAAAGGGACCAAACG
GGAGCAGGCAGGTAAACG
52 5 128–152 0 0.6207
0.7042
0.0000 *
Mimi-54-D06 GW671567 (T)13…(A)15 unknown TCCTCCCATACAAACTAA
GGTGGAAGACCGAAAA
50 3 159–163 0 0.5769
0.6750
0.0000 *
Mimi-56-G05 GW671751 (AGC)5 unknown AGACACCCGACCAGAACC
ACAGCCTCCATCCACAAA
54 4 154–160 0 0.7917
0.6764
0.5599
Mimi-57-A05 GW671772 (T)14 unknown CTCCTGCCCTTCGTGATT
TCTTTCCCTGCTTGTTGTA
50 6 113–133 1 0.1429
0.4292
0.0011 *

HO: Observed heterozygosity; HE: Expected heterozygosity; Tm: Annealing temperature;

*

indicates significant deviation from HWE after Bonferroni correction (P < 0.0017).

3. Results and Discussion

Details of the newly developed micorastellite loci and variability measures are summarized in Table 1. In total, 30 of 123 loci were successfully amplified and shown to be polymorphic in miiuy croaker. The number of alleles per locus ranging from two to thirteen, and observed and expected heterozygosities ranged from 0.1024 to 0.7917 and from 0.2732 to 0.8845, respectively. The remaining 93 loci were no products or monomorphic in miiuy croaker. Nine loci significantly deviated from Hardy-Weinberg equilibrium in the sampled population after sequential Bonferroni correction (P < 0.0017), possibly due to the presence of null alleles, it is thought that these null alleles were caused by genetic instability within this region, the remaining 21 loci conformed to HWE. Further, null alleles were found in twenty-two loci (Table 1) and stuttering were found in nine loci (Mimi-16-A03, Mimi-21-G10, Mimi-28-G08, Mimi-29-C05, Mimi-32-B08, Mimi-36-C02, Mimi-40-E05, Mimi-41-E11, and Mimi-52-H10) detected with MICRO-CHECKER utility after Bonferroni correction [14], but no evidence for allelic dropout were found in any of the loci. In total, 24 pairwises (Mimi-16-E10 and Mimi-5-B04, Mimi-16-E10 and Mimi-13-G10, Mimi-16-E10 and Mimi-21-G10, Mimi-49-C10 and Mimi-21-G10, Mimi-5-B04 and Mimi-21-G10, Mimi-16-A03 and Mimi-21-G10, Mimi-16-H01 and Mimi-21-G10, Mimi-49-C10 and Mimi-32-A10, Mimi-16-H01 and Mimi-32-A10, Mimi-21-G10 and Mimi-32-A10, Mimi-32-A10 and Mimi-34-A09, Mimi-34-A09 and Mimi-35-E08, Mimi-4-C07 and Mimi-36-C02, Mimi-35-E08 and Mimi-40-H12, Mimi-36-C02 and Mimi-40-H12, Mimi-35-E08 and Mimi-41-E11, Mimi-36-C02 and Mimi-41-E11, Mimi-49-C10 and Mimi-54-D06, Mimi-32-A10 and Mimi-54-D06, Mimi-32-B08 and Mimi-54-D06, Mimi-35-E08 and Mimi-57-A05, Mimi-36-C02 and Mimi-57-A05, Mimi-40-H12 and Mimi-57-A05, Mimi-41-E11 and Mimi-57-A05) significant genotypic linkage disequilibrium were found among 285 pairs of the 30 loci after Bonferroni correction (P < 0.0017).

4. Conclusions

In the present study, 30 polymorphic microsatellite DNA markers were developed by cDNA sequences. These polymorphic microsatellite loci in miiuy croaker will enable studies of the genetic variation, population structure, conservation genetics and molecular assisted selective breeding of the miiuy croaker in the future.

Acknowledgements

This study was supported by Nation Nature Science Foundation of China (31001120), Zhejiang Provincial Natural Science Foundation of China (Y3100013) and Foundation of Zhejiang Educational Committee (Y200908463).

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