Volume 81, Issue 4 pp. 519-522
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Characterization of 18 polymorphic microsatellite loci in the red-crowned crane (Grus japonensis), an endangered bird

Hongfei ZOU

Corresponding Author

Hongfei ZOU

Northeast Forestry University, Harbin,

Hongfei Zou, Northeast Forestry University, Harbin 150040, China. (Email: [email protected]) Search for more papers by this author
Haiyan DONG

Haiyan DONG

Northeast Forestry University, Harbin,

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Weiyao KONG

Weiyao KONG

Forestry Science Institution of Jilin Province, Changchun,

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Jianhua MA

Jianhua MA

Zhalong National Nature Reserve, Qiqihaer, and

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Jihong LIU

Jihong LIU

Heilongjiang Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China

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First published: 21 July 2010
Citations: 16

ABSTRACT

Red-crowned cranes (Grus japonensis) were classified as an endangered species by the International Union for Conservation of Nature, but recently, their population has decreased dramatically. For the purpose of conserving this endangered species, 18 microsatellite markers were developed, including 12 newly isolated ones from a genomic library and 6 modified from another crane species. The markers were characterized in 26 red-crowned cranes. As a result, these markers displayed 3–13 alleles, and the observed and expected heterozygosities ranged from 0.462 to 1.000 and from 0.483 to 0.884, respectively. The marker suite averaged 6.390 alleles per locus with an average polymorphic information content of 0.631. The combined exclusion probability (PE-1) was 0.9985, and the combined exclusion probability (PE-2) was 0.9999. Three of the 18 microsatellite loci presented significant deviations from Hardy–Weinberg Equilibrium (P < 0.05), likely due to sampling bias and unknown founder relatedness in a semi-free population. Our results show that microsatellite loci can provide a standard protocol for genetic information in red-crowned crane populations upon which strategies for effective conservation and management may be based.

The red-crowned crane is the second rarest crane species in the world, with a total population of approximately 2000 birds in the wild (Archibald 2000). Its status is considered to be endangered by the International Union for Conservation of Nature (IUCN). Due to the crane's rarity, it was also included in the Red List of Threatened Species (IUCN 1994). Therefore, all countries within its range were required to pass legislation for protecting this species.

At present, the migratory continental population of cranes is thought to be declining because of habitat loss in breeding grounds in north-east China and far eastern Russian and in the wintering grounds on the Korean peninsula and the east coast of China. Improved protection at these locations, including the work of the Northeast Asia Crane Site Network is essential for species survival. An action plan involving the major range countries has resulted in a coordinated action. A world standard for genetic information is needed for the same area. Microsatellites are powerful molecular markers that are used in population genetic studies and are likely candidates for developing such a protocol.

To date, only seven microsatellites have been isolated from the genome of red-crowned cranes and validated for population analysis (Hasegawa et al. 2000). However, such low numbers of microsatellites are not sufficient for genetic analysis, especially for establishing a standard molecular analytical protocol for the red-crowned crane population. Twelve microsatellites were isolated from the genome of red-crowned cranes and six loci isolated from the blue crane (Grus paradisea) were tested (Meares et al. 2008). All 18 loci were characterized by using samples from a wild and a semi-free population in Zhalong National Natural Reserve, China. Our results demonstrate that every combination of the 18 loci is effective for population genetic analysis.

Genomic DNA was isolated from blood samples obtained from cranes captured in the Zhalong Nature Reserve in China using a standard proteinase K-phenol-chloroform extraction protocol. Genomic DNA was digested initially with Mbo I (Promega, Madison, WI, USA). The digested DNA was separated by sucrose-density-gradient centrifugation. DNA fragments of 300–1000 bp in length were isolated from the sucrose solution and ligated to adaptors (A: 5′GATCGTCGACGGTACCGAATTCT3′ and B: 5′ GTCAAGAATTCGGTACCGTCGAC3′). The ligated products were used as templates for the first round of PCR using B as a primer. PCR products were hybridized to biotinylated (CAG) n (CA) n, and probes attached to streptavidin-coated magnetic beads (Dynal Biotech ASA, Oslo, Norway) according to Chang et al. (2005). Enriched fragments were used as templates for the second round of PCR, and products were ligated into plasmid vector, pMD-18, using T4 DNA ligase (TaKaRa, Dalian, China). The recombinant plasmid was transformed into competent Escherichia coli, DH5α. The enriched library was screened again by hybridization with 32P-labelled probes (Chang et al. 2005).

Of 1856 colonies screened, 456 gave positive signals after hybridization, and 200 positive clones were sequenced. Approximately 75 sequences were found to contain microsatellites. Finally, 28 locus-specific primers were designed using Primer3 software (Rozen & Skaletsky 2000). Furthermore, 14 previously published microsatellite primer pairs from other crane species were also tested (Meares et al. 2008).

PCR was carried out in a 25 µL volume containing 1 × PCR buffer (10 mmol/L Tris-HCl pH 8.3, 50 mmol/L KCl, 2.0 mmol/L MgCl2 and 0.01% gelatin), 200 µmol/L of each dNTP (TaKaRa, Dalian, China), 0.1 mmol/L of each primer, approximately 35 ng of genomic DNA and 0.75 U Taq polymerase (TaKaRa, Dalian, China). Amplifications were performed in a PerkinElmer 9600 thermal cycler using the following cycling program: 94°C for 3 min, 30 cycles of 94°C for 30 s, primer-specific annealing at 55–68°C for 30 s (Table 1), 72°C for 30 s, and a final step of 72°C for 10 min. Touchdown PCR was used for some of the primers (Table 1). The Touchdown PCR program used was 94°C for 3 min, two cycles of 94°C for 30 s, highest Ta decreasing in 2°C decrements per cycle, 72°C for 30 s, followed by 26 cycles of 94°C for 30 s, lowest Ta for 30 s, 72°C for 30 s, and completing the profile with an extension at 72°C for 10 min.

Table 1. Genetic characteristics of 18 microsatellite loci of the red-crowned crane
Loci Primer sequence (5′–3′) Repeat motif Allele size (bp) Ta(°C)temp GenBank accession no.
GJ3108 Fam-CAATGGGCTTTTTGTGTGTG
TGCCTGATGAGAGTGACCAG
(GT)11 169 175 177 179 181 183 185 68-64TDtemp FJ997542
GJ3105 Fam-TGCCTGATGAGAGTGACCAG
CAATGGGCTTTTTGTGTGTG
(CA)13 169 175 177 179 181 183 191 193 68-64TDtemp FJ997543
GJ8077 Fam-GCAGGTTGCACCGATTAAAG
CTTCAGAGCAGGGAGAGGTG
(CTG)13 169 172 175 181 187 56 FJ997544
GJ8067 Tamra-GGAGAAGTGAAGGGGAAGGT
CCGCAAGAACACAGAGAAAA
(CAG)14 135 147 150 153 156 159 165 174 177 180 56 FJ997545
GJ4066 Tamra-TACATGCGGGACAATGAAGA
GGCCCAGCAGAAGACTATCC
(ATAG)9 145 149 153 157 60 FJ997546
GJ2101 Tamra-TGACTGAGCCCTAACCTGCT
CTGGCACTCTCCTGCTCTCT
(CTG)14 230 233 236 239 242 257 62-58TDtemp FJ997547
GJ2298 Tamra-GCCTGTTGCAAGAACACAGA
GGAGAAGTGAAGGGGAAGGT
(CTG)14 136 151 154 157 160 163 169 178 181 184 60 FJ997548
GJ1471 Fam-GAGAGGCCGTCTTCCCTAAT
CTCCCACTGACCCAGAAGAG
(CTG)11 221 227 230 236 239 242245 60 FJ997551
GJ1430 Fam-GGTTTGTAGGTCGCCCATTA
AGGTGGGCAAAATGAGATTG
(TGC)6TGG(TGC)4 227 230 233 60 FJ997550
GJ1385 Fam-CTGGGGCACATCCCTTACTA
CTGCCTGGTGTGAAATCCTT
(CA)6 180 186 190 60 FJ997549
GJ1303 Tamra-TGCTAAATTCCCGTGTCTCC
GCTGAAGCCAAGAAGTGTCC
(CTG)12 219 225 228 56 FJ997553
GJ1308 Tamra-AGCGATACAGGAACCAGGTG
CTGAAGGGCTCCTTCCTTTC
(CTG)10TTG(CTG)9 232 238 241 244 253 256 56 FJ997552
Gpa12* Tamra-GATCAATGCGAAGGATAGGGAGGT
TCATCAATCTATTATTTGCCTCAGC
(GATA)11 173 181 185 189 193 60 AM282893
Gpa33* Fam-GGCTTAGAAATGGGATACAGTTG
CCGTCCAAGCAAGAAGAAA
(TTTC)14
(TCTCTTTC)16
145 149 153 169 189 197 205 209 225 233 56 AM282919
Gpa34* Tamra-GCACACAGTGAGGAGACCAGTGA
CCTTGATGTGGGAAGACAACTGC
(TTTCTC)22 170 182 188 194 200 212 218 224 230 242 248 254 260 60 AM282920
Gpa35* Fam-TCATCAGCTTCCAACAGGTCTCC
TCAGGCACAATGTATAAGTGTTTGTGG
(GT)13 (TA)4 157 167 171 56 AM282921
Gpa36* Tamra-TTCATAGACATATGCTTACCTGTTCT
ATCCATCCATCTATCTATCTATCTATCTATC
(GATA)10(GATG)2 221 225 229 233 56-52TDtemp AM282922
Gpa39* Fam-TGCACAGGTTTGGCCAAGAAG
TTCCAAAGTGAAATTAAAGGTGTGTGG
(GA)2(GATA)13 97 105 109 113 117 121 129 56-52TDtemp AM282925
  • * Modified primers from the literature: Meares et al. (2008). Ta, PCR annealing temperature, TD temp., maximum and minimum temperatures used in touchdown PCR.

Of the 28 new primers designed for the red-crowned crane, 20 successfully amplified the target regions, and 12 of displayed polymorphisms (Table 1). For those previously published microsatellite markers, 10 of 14 succeeded in amplifying and 6 showed polymorphisms (Table 1). Thus, we obtained 18 polymorphic markers in total, and the upper stream primer of each locus was labeled with either carboxy-fluorescein (FAM) or tetramethyl-6-carboxyrhodamine (TAMRA) fluorescent dye. PCR products were separated by electrophoresis on an ABI 3730 DNA Analyzer (Applied Biosystems, Foster City, CA, USA).

To characterize the microsatellites, 11 feather pulp samples and 15 eggshells (after artificial hatching) were collected from the red-crowned crane's largest and key breeding ground: Zhalong National Nature Reserve, China. Six feather samples and three eggshells were collected from the wild population, and the remaining samples were taken from a semi-free population. These samples included feathers from wild rescued individuals and semi-free birds, and eggshells were obtained from the same populations. Due to the high gene flow between the wild and semi-free birds in our field research, these two populations were considered to be homogeneous (details to be published separately).

DNA was extracted from the feather pulp or eggshells (after artificial hatching) using a routine phenol chloroform method. PCR amplification and genotyping were performed according to the same procedure described above. Standard population genetic parameters of the new set of loci, including the number of alleles per locus (A) the expected (HE) and observed (HO) heterozygosity, polymorphic information content (PIC), and exclusion probability (PE-1, PE-2), were estimated using the program CERVUS 3.0 (Kalinowski et al. 2007). All loci conformed to Hardy–Weinberg Equilibrium using exact tests in Genepop (Raymond & Rousset 1995).

Results showed that the number of alleles ranged from 3 to 13, whereas the observed and expected heterozygosities ranged from 0.462 to 1.000 and from 0.483 to 0.884, respectively. The marker suite averaged 6.390 alleles per locus with an average polymorphic information content of 0.631. Three loci, Gj3108, Gj1385 and Gpa33, presented deviations from Hardy–Weinberg Equilibrium (P < 0.05) (Table 2). This difference was probably due to sample bias (cranes scattered across only one breeding site) and founder relatedness in the semi-free population.

Table 2. Number (Na) of alleles detected, number (Ne) of effective alleles, number (n) of individuals, polymorphic information content (PIC), expected (HE) and observed (HO) heterozygosities, P-values for Hardy–Weinberg exact test, PE-1 and PE-2 for exclusion probabilities, among 18 microsatellite loci screened across 26 individuals from Zhalong national nature reserve
Loci n Na Ne HO HE PIC P-val PE-1 PE-2
GJ3108 26 7 3.919 1.000 0.759 0.709 0.008a 0.651 0.470
GJ3105 25 8 3.687 0.920 0.749 0.697 0.060 0.664 0.484
GJ8077 25 5 2.796 0.840 0.656 0.581 0.186 0.771 0.616
GJ8067 26 10 4.829 0.654 0.808 0.773 0.085 0.554 0.376
GJ4066 26 4 3.242 0.769 0.702 0.628 0.051 0.743 0.581
GJ2101 26 6 3.258 0.692 0.707 0.644 0.367 0.721 0.549
GJ2298 26 10 4.568 0.846 0.796 0.761 0.568 0.572 0.391
GJ1471 26 7 3.586 0.731 0.735 0.677 0.167 0.687 0.511
GJ1430 25 3 2.269 0.680 0.571 0.486 0.096 0.844 0.712
GJ1385 26 4 2.265 0.615 0.587 0.526 0.000a 0.821 0.663
GJ1303 26 3 2.343 0.462 0.600 0.504 0.378 0.827 0.701
GJ1308 25 6 3.005 0.680 0.681 0.612 0.436 0.748 0.584
Gpa12 26 5 2.139 0.538 0.543 0.498 0.556 0.844 0.680
Gpa33* 24 10 5.789 0.583 0.845 0.805 0.004a 0.515 0.343
Gpa34* 25 13 7.716 0.880 0.884 0.853 0.585 0.419 0.264
Gpa35* 26 3 1.900 0.615 0.483 0.427 0.266 0.888 0.749
Gpa36* 26 4 2.380 0.577 0.591 0.520 0.254 0.824 0.675
Gpa39* 26 7 3.521 0.731 0.730 0.671 0.092 0.691 0.517
Average 25.5 6.390 3.512 0.711 0.690 0.631 0.9985 0.9999
  • a Indicated that the observed heterozygosity is significantly different from the expected heterozygosity under Hardy–Weinberg Equilibrium (P < 0.05).

ACKNOWLEDGMENTS

This work was supported by the Program for New Century Excellent Talents in University (NCET) and the Project of State Forestry Administration, P.R. China

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