ijms International Journal of Molecular Sciences Int. J. Mol. Sci. 1422-0067 Molecular Diversity Preservation International (MDPI) 10.3390/ijms12074180 ijms-12-04180 Short Note Isolation of New 40 Microsatellite Markers in Mandarin Fish (Siniperca chuatsi) LiuXiaolian LuoWei ZengCong WangWeimin GaoZexia* Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; E-Mails: xiaolianiss@gmail.com (X.L.); lwdjn@live.cn (W.L.); congzeng@live.cn (C.Z.); wangwm5911@gmail.com (W.W.) Author to whom correspondence should be addressed; E-Mail: gaozexia@htmail.com; Tel.: +86-27-8728-2113; Fax: +86-27-8728-2114. 2011 24 6 2011 12 7 4180 4189 05 5 2011 07 6 2011 13 6 2011 © 2011 by the authors; licensee MDPI, Basel, Switzerland. 2011

This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).

In this study, 23 genomic microsatellite DNA markers and 17 express sequence tag (EST)-derived microsatellites were developed and characterized using the fast isolation by AFLP of sequences containing repeats (FIASCO) method and data mining from public EST databases of mandarin fish (Siniperca chuatsi). These polymorphic microsatellite markers were then tested for polymorphism in a wild S. chuatsi population. The number of alleles at 23 genomic SSRs varied from 2 to 19 with an average of 8.0 alleles per locus. The average observed and expected heterozygosities were 0.746 and 0.711, respectively. Of 5361 EST sequences examined, 3.9% (209) contain microsatellites, and di-nucleotide repeats are the most abundant (67.0%), followed by tri-nucleotide (29.7%) and tetra-nucleotide repeats (3.3%). The number of alleles at 17 EST-SSRs varied from 2 to 17 with an average of 8.4 alleles per locus. The average observed and expected heterozygosities were 0.789 and 0.685, respectively. No significant difference of loci polymorphism was found between genomic SSRs and EST-SSRs in terms of number of alleles and heterozygosities. Results of cross-species utility indicated that 13 (52.2%) of the genomic-SSRs and 13 (76.5%) of the EST-SSRs were successfully cross-amplified in a related species, the golden mandarin fish (Siniperca scherzeri).

 microsatellite genomic SSRs EST-SSRs Siniperca chuatsi 1. Introduction

Mandarin fish (Siniperca chuatsi), belonging to Perciformes sinipercinae, is an endemic freshwater fish species in north-eastern Asian countries. In China, it is mostly distributed in the Yangtze River and the Pearl River [1]. The mandarin fish has been a commercially important and peculiar freshwater fish species in China and is widely cultured throughout the country; it is also important in stocking fisheries in lakes and reservoirs [2]. However, a breeding program aiding to improve its traits such as growth rate and disease resistance has not yet been initiated. Microsatellite marker, also known as simple sequence repeat (SSR), has been considered as one of the efficient molecular markers that provide genetic information due to its co-dominance, high mutation rate, abundance throughout the genome and ease of scoring. Therefore it was widely used in population genetic analysis, genetic mapping and marker-assisted selection of many kinds of fish species [3–5]. Although several genomic microsatellite DNA markers, also known as type II markers, are available for S. chuatsi [6,7], the number of microsatellite markers is still insufficient to construct a linkage map for a further study of quantitative trait locus which can aid to marker-assisted breeding of this species. No type I markers which are associated with functional genes, like EST microsatellite markers, have been reported so far in this fish species. In the present study, we developed 23 new polymorphic genomic SSR markers and 17 EST-SSR markers by exploiting EST databases of S. chuatsi. Additionally, the cross utility of these markers was tested in a related species, the golden mandarin fish (Siniperca scherzeri).

 2. Results and Discussion

Among 106 positive clones sequenced from the microsatellite-enriched library, 62 clones were found to contain simple sequence repeats, and 38 primer pairs were designed from the sequences with enough flanking region. A total of 5361 S. chuatsi EST sequences were obtained from GenBank dbEST and 209 EST sequences containing SSR were derived. Then 32 sequences with enough flanking sequence were selected for primer design. In the wild Poyang Lake population, 23 out of 38 loci isolated from genomic DNA and 17 out of 32 loci developed from EST were polymorphic (Table 1). The average allele number per locus was 8.0 (range from 2 to 19) for genomic SSRs and 8.4 (range from 2 to 17) for EST-SSRs. The average observed and expected heterozygosities were 0.746 (range from 0.000 to 1.000) and 0.711 (range from 0.286 to 0.926) for genomic SSRs, while 0.789 (range from 0.000 to 1.000) and 0.685 (range from 0.064 to 0.923) for EST-SSRs, respectively. The level of polymorphism at these loci was much higher than previously reported microsatellites of S. chuatsi in terms of number of alleles [6,7], but when it comes to observed heterozygosity, it was much higher than the results of Kuang et al. (0.472) [6], and slightly lower than Zhang et al. (0.748) [7]. After sequential Bonferroni correction for multiple tests, five loci showed significant deviation from the Hardy-Weinberg equilibrium (HWE). The presence of null alleles was checked by MICROCHECKER version 2.2.3 software [8], but no evidence for allelic dropout was found in these loci. The heterozygote deficiency at these loci was responsible for the departure of HWE. Another possible explanation for the departure from HWE is the dramatic contemporary decline in spawning populations, and consequent non-random mating and genetic bottlenecks [9]. A final explanation is subpopulation structure which cannot be ruled out without further analysis. No pair of loci was found to be in linkage disequilibrium.

In previous studies, the level of polymorphism of EST-SSRs has usually been observed to be lower than that of genomic SSRs in aquatic species [10,11]. However, in our present study, there is no significant difference of loci polymorphism between EST-SSRs and genomic SSRs in terms of allele number and heterozygosity (t-test, P > 0.05). Many studies have already demonstrated that the level of polymorphism of SSR often increases with increasing number of repeat units [12,13]. The high polymorphism of EST-SSRs may be correlated with the relatively large number of repeat units (ten units of di- or tri-nucleotide repeat motifs) checked in this study for SSR in S. chuatsi EST database.

The first set of EST-SSR for S. chuatsi is described in this study. Of 5361 ESTs of S. chuatsi downloaded from GenBank database, 209 (3.9%) sequences contain a microsatellite locus. Analysis of the repeat motif showed that di-nucleotide repeats were the most abundant (67%), which was slightly lower than some fish species such as yellow perch Perca flavescens [10] and large yellow croaker Pseudosciaena crocea [14], while much higher than bay scallop Argopecten irradians [15] and common carp Cyprinus carpio [16]. Tri-nucleotide and tetra-nucleotide repeats accounted for 29.7% and 3.3% of the total microsatellites, respectively. Among di-nucleotide repeats, (AC)n repeats were the most abundant, followed by (AG)n repeats and (TA)n repeats, with the same findings in large yellow croaker [14].

Cross-species amplification was conducted in a related species S. scherzeri. Of the 17 EST-SSRs and 23 genomic SSRs primers tested, 13 (76.5%) and 13 (52.2%) were successfully amplified, respectively. The number of alleles per locus checked in 10 individuals ranged from 1 to 6 in S. scherzeri. The rate of successful cross-amplification in EST-SSRs was higher than genomic SSRs, indicating that EST-SSRs had higher amplification transferability than genomic SSR markers [10,16].

 3. Experimental Section 3.1. EST Database Mining

S. chuatsi EST sequences were obtained from GenBank dbEST (http://www.ncbi.nlm.nih.gov/nucest?term=EST). The SSR sequences were screened using the SSRHunter 1.3 program (http://www.bio-soft.net/dna/) and the criteria for SSRs were set as sequences having at least ten units of dinucleotide repeat motifs, five units of tri- and tetra-nucleotide repeat motifs, and four of hexanucleotide repeat motifs. Then the primers were designed for EST-SSR locus with ten units of di- or tri-nucleotide repeat motifs using software PRIMER 3 [17].

 3.2. Isolation of Genomic Microsatellites

Total genomic DNA was extracted from tail fin using a traditional proteinase-K digestion and phenol-chloroform protocol with RNase treatment [18]. Subsequently, a partial genomic library enriched for AC-microsatellite was constructed using fast isolation by AFLP of sequences containing repeats (FIASCO) method [19]. In brief, approximately 200 ng of total genomic DNA was digested with MseI enzyme (New England BioLabs). The fragments within the size range of 200–1000 bp were recovered from an agarose gel and ligated to MseI AFLP adaptors (5′-GACGATGAGTCCTGAG-3′/5′-TACTCAGGACTCAT-3′) using T4 DNA ligase (New England BioLabs). The digestion-ligation mixture was diluted (1:10) and directly amplified using MseI-N primers (5′-GATGAGTCCTGAGTAAN-3′) to give numerous copies of each fragment. PCR was performed in a 20 μL reaction mixture including 100 ng DNA, 1 × PCR buffer, 1.5 mM MgCl2, 200 μM dNTPs, 0.5 μM of each primer, 1 U Taq polymerase (TIANGEN), and by denaturing at 94 °C for 4 min, followed by 30 cycles of 1 min at 94 °C, 30 s at 50 °C, 1 min at 72 °C and an extension at 72 °C for 7 min. After denaturation at 95 °C for 10 min, PCR products were hybridized to 5′-biotinylated probe (AC)8 or (CT)8 oligonucleotide probe in hybridization solution with 6 × saline-sodium citrate (SSC) and 0.1% SDS (sodium dodecyl sulfate) at 55 °C for 30 min. Probe-bound DNA fragments were then enriched by Streptavidin MagneSphere Paramagnetic Particles (Promega) at room temperature for 30 min, followed by several non-stringent (10 mM Tris-HCl, 1 mM EDTA, 1 mM NaCl) and stringent washes (SSC 0.2× and 0.1% SDS) to remove non-specifically binding and unbound DNA. Captured DNA fragments were amplified with MseI primer and the same cycling program as pre-hybridization PCR. The PCR products were ligated to pMD18-T plasmid vector (TaKaRa) and transformed into competent Escherichia coli DH5a cells (Invitrogen). Positive clones were screened by blue/white selection and tested by PCR amplification using MseI primer and M13 universal primer. In total, 106 positive clones were sequenced with T7 primer in one direction using ABI Prism 3730 automated DNA sequencer (Applied Biosystems).

 3.3. PCR Amplification and Genotyping

All sequences containing simple sequence repeats and enough flanking sequence, including genomic and EST sequences were selected for primer design by using software PRIMER 3. PCR conditions were optimized for each pair of primers. Then polymorphism of microsatellite loci was evaluated on 33 wild samples collected from the Poyang Lake (28°22′–29°45′ N and 115°47′–116°45′ E) in Jiangxi province, China. The PCR were carried out in 20 μL volumes containing 1 × Taq buffer, 1.5 mM MgCl2, 200 μM dNTPs, 0.5 μM of each primer, 1 U Taq polymerase, 200 ng genomic DNA. PCR thermal conditions were as follows: an initial denaturation step of 5 min at 94 °C, followed by 35 cycles of 30 s at 94 °C, 30 s at locus-specific annealing temperature (see Table 1), 45 s at 72 °C, followed by a final extension at 72 °C for 5 min. PCR products were separated on a 8% non-denaturing polyacrylamide gel electrophoresis and visualized by silver staining. A 25 bp DNA ladder (Promega) was used to identify alleles.

 3.4. Data Analysis

Number of alleles (Na), expected (HE) and observed heterozygosities (Ho), were calculated using POPGENE 32 software [20]. Deviations from Hardy–Weinberg equilibrium (HWE) for each locus, linkage disequilibrium (LD) between all loci were tested by online version GENEPOP (http://genepop.curtin.edu.au/) [21]. All results were adjusted for multiple simultaneous comparisons using a sequential Bonferroni correction [22].

 4. Conclusions

In summary, 40 polymorphic microsatellite markers, including EST-SSR and genomic SSR were developed in this study. Particularly, mining the EST database provides an efficient and time-saving approach to obtain new microsatellite markers for species of interest. In further studies, these markers would be useful for population genetics, parentage analysis, association analysis, functional genes cloning and the construction of a linkage map of S. chuatsi and its related species.

 Acknowledgments

This study was funded by the Modern Agriculture Industry Technology System Construction Projects titled as—Staple Freshwater Industry Technology System (No. CARS-46-05).

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Characterization of 40 microsatellite loci in 33 Siniperca chuatsi individuals.

Loci GenBank Accession No. Primer Sequence (5′-3′) Repeat Motif Ta S (bp) Na Ho/HE Na in Siniperca scherzeri
EST-1 GR477481 F: CCAGCCAACAACCATAAAG (CA)10 58 200–240 6 0.648/0.632 2
R: CCCAGGTAGAAGACCGTGA
EST-4 GR477363 F: GTCAGTCCATCAGCCATTA (CA)19 53 263–370 13 0.970/0.834 2
R: TTCCGATGAAGAGTCACCAC
EST-5 GR477357 F: TTGCTGCGTTAAAGGGTT (TC)26 50 319–353 2 0.000 */0.064 2
R: CTTGTGGTCGAATGTGCC
EST-6 GR477337 F: TCCCAGTAGCATTCAAAC (TG)11(GT)6 61 135–198 8 0.754/0.765 6
R: TGCATACATACACCCACA
EST-7 GR477325 F: AAAGCAACGCAGTGTCTC (AC)11 61 178–212 7 0.783/0.774 2
R: GCAATCCCTTCTTCTTCTC
EST-10 GR477249 F: GGCTGTTCTTGTTCCCTG (GT)11(GT)5(GT)6 55 201–331 17 0.898/0.867 4
R: CCCAAATACATGCCCTCA
EST-17 GR476891 F: GAAGCCGGAGTGGACTGT (CT)33 61 288–341 8 0.857/0.761 2
R: GGTTTCGGGTTGAGGAGA
EST-19 GR476867 F: GACAGTACAAGTAAGGCACA (CT)7(CT)11(TG)14 61 285–336 7 0.697/0.766 1
R: GTCGCATAAATATCACAGAA
EST-21 GR476843 F: AGTGAGGTGGAGGGGTGA (CA)15 63 128–230 17 1.000/0.923 –
R: TACGTTGCCGATGAAAGC
EST-24 GR476700 F: TGCCAATAAGGGTTTCTA (TG)5(TG)11 55 208–332 15 1.000/0.905 3
R: GACACTCTTTCGCTCTGC
EST-26 GR476421 F: CATCATGGCAGCATCAGT (TC)26 63 156–186 2 0.511/0.484 –
R: GCGAGGTAACCCAGGAGA
EST-31 GR476370 F: AGCATCATAGGCCAGCAC (AC)19 50 272–276 2 0.000*/0.437 –
R: CCGCCATATTAGGTTCTC
EST-33 GR476286 F: CACTGTGCTCAACGTACT (AC)13 63 126–144 4 0.528/0.531 1
R: GTGACATTTAGCCCATAA
EST-35 GR476157 F: CCATAGTTTGTGGTGGTA (TA)21 55 208–256 10 0.858/0.852 –
R: CTGGAGGAAATAAAGGAG
EST-42 GR476074 F: ATTTGGCTATTCACTCTTC (GT)10(AG)17(GA)5(AG)12(TTA)6 58 152–234 8 0.684/0.769 4
R: CTCTTTCTCGCTCTGTCT
EST-43 GR476056 F: AAAGTCCCTGATACATAG (TA)18 55 184–306 14 0.860/0.856 2
R: GTATTCATGGGTTTGGTT
EST-57 GR478790 F: CAGCAGCATCACCTTCACC (ACA)10 50 174–200 2 0.000 */0.422 1
R: GCTGGGCTTTGAGGGTAGA
Mar1 GU324507 F:TCAGTGGAAAATAATGAAAAGGAAG (CA)5 58 162–238 6 0.757/0.754 2
R:TAGTGAGTGTGGGTGTAGGTGGGTT
Mar3 GU324508 F:GTAACCCACCTACACCCACACTCAC (CA)17 58 145–194 4 0.741/0.746 –
R:CACTGTCACAGGAATGAAGAAAACT
Mar5 GU324510 F:ATAGACTTTACACACATCACTGGAG (AC)5(AC)10 55 279–385 19 0.922/0.926 2
R:AGAGAGAAGAGAGTGTGATGAAGAG
Mar9 GU324513 F:GACATCACCAATACCTCCTGACACG (GT)21 52 232-397 19 1.000/0.899 –
R:TACACACGCATGGAGTATCTGGATC
Mar10 GU324514 F:GATTGGCACCTTGAAACACGCATAC (GT)19 52 84–160 16 0.895/0.888 5
R:GTGAACATAACTCATTTCTGCCAGG
Mar12 GU324516 F:AGATAACACGATAGATTGATACACG (GT)12 55 175–233 14 0.871/0.862 2
R:CACTTGATGACCTGTCCTTACTATG
Mar13 GU324517 F: CAGGCACAGACTCACACACT (TG)6 52 163–240 11 0.892/0.886 2
R: GTGCCTGTCTGAGCGTGA
Mar14 GU324518 F: CACACACTCTCGCACACTCG (TG)5 52 65–173 2 0.462/0.500 1
R: ACGGTACGCACCTCTGTCAC
Mar8 GU324512 F:TGCGATAACAGGATACCAGTAATGC (CA)7 50 154–201 5 0.611/0.544 2
R:CAGAGGTCAAACGGGTGAAGAGG
Mar11 GU324515 F:TTTGCTACCACAACAGGAAGAACAT (GT)18 61 138–170 6 0.739/0.743 –
R:TTTGAAAAATGATTAAGGGAGACAT
Mar4 GU324509 F:TAGGGTAAGGGACTAGGGAACGCAT (GT)6(TG)10(GA)16(AG)5 52 230–308 7 0.764/0.714 –
R:TACACAAGCCCAAAGATTCTCAAGC
Mar6 GU324511 F: TACCTTCGCTTCTCATGTGC (TG)14 53 110–158 2 0.346*/0.286 –
R: TGAGTGGTGCATTGTGTGTG
GY09 HQ875477 F: CGCTACCACTTCCCACA (CT)13(CA)22 53 354–402 3 0.587/0.610 –
R: TAGACTCCCATTTCCACCA
GY12 HQ875479 F: AAGTAGCAGAAAATGGAAAT (TC)10 50 316–400 10 0.802/0.805 2
R: CTCAGGTGGAACAATCATC
GY13 HQ875480 F: TGTTAGACCTGCTGGAGT (AC)16(GA)12 61 200–327 12 0.833/0.851 2
R: GAGGAGGCTGTAAATCG
GY14 HQ875481 F: ATCAGTGGGCAGGGT (AG)12(AG)5 55 272–382 6 0.646/0.651 –
R: AAAGCGAGCGCTAGA
GY15 HQ875482 F:AGTCGTATGGGTTGGTG (AC)6AGT(CA)9CT(CA)8GT (CA)7CG(CA)18 50 264–348 2 0.466/0.500 1
R: ATGGTATCAGTCAGGGTG
GY16 HQ875483 F: TTAAGCAGCGTTACCTAAT (TG)5 50 164–200 4 0.645/0.650 2
R: AGACGGGAATCTGTGAA
GY17 HQ875484 F: CGATGTCCACTCGAACT (GT)79(GC)7(CA)5 50 170-239 8 0.742/0.735 –
R: CCTCATCTTCAGCCACG
GY18 HQ875486 F: GATAGAGGCAGAAACACC (TG)17 50 116-166 4 0.571/0.573 1
R: ATACGGCATATTGGAAA
GY19 HQ875487 F: ACTGGTAACCACAGAACAT (AC)15 63 180-247 10 0.845/0.846 –
R: ATTGCTTAATTGGACACTC
GY20 HQ875488 F: TTGGTGTATTGAAGCA (GT)30 50 138-202 11 0.870/0.863 2
R: AAAGCCAGCAGCA
GY22 HQ875490 F: CAGTGAATGGACAGTTTGGT (AC)10 55 200-225 3 0.000 */0.523 –
R: CTCTGCATGTTTGATTGAGG

Ta, annealing temperature (°C); S, allele size range; Na, number of alleles; HO, observed heterozygosity; HE, expected heterozygosity;

indicated deviation from Hardy-Weinberg equilibrium (P < 0.05) after Bonferroni correction.