Skip Navigation

Journal of Heredity 2004 95(6):521-525; doi:10.1093/jhered/esh082
This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (3)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Kim, K.-S.
Right arrow Articles by Lee, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kim, K.-S.
Right arrow Articles by Lee, H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2004 The American Genetic Association

Brief Communication

Cross-Species Amplification of Bovidae Microsatellites and Low Diversity of the Endangered Korean Goral

K.-S. Kim, M.-S. Min, J.-H. An, and H. Lee

From the Conservation Genome Resource Bank for Korean Wildlife, Research Institute of Veterinary Science, College of Veterinary Medicine and School of Agricultural Biotechnology, Seoul National University, Seoul 151-742, South Korea. Kyung-Seok Kim is currently at the USDA-Agricultural Research Service, c/o Insectory, lowa State University, Corn Insects and Crop Genetics Research Unit, Ames, IA 50011

Address correspondence to Hang Lee, DVM, PhD, College of Veterinary Medicine, Seoul National University, Bldg. 85-812, Sillim-dong San 56-1, Gwanak-gu, Seoul 151-742, South Korea, or e-mail: hanglee{at}plaza.snu.ac.kr, or to Kyung-Seok Kim at the address above, or e-mail kkim{at}iastate.edu.


    Abstract
 Top
 Abstract
 Materials and Methods
 Results and Discussion
 References
 
The Korean goral (Nemorhaedus caudatus) is an endangered species of wild goat. The conservation and management of this species could benefit from a better understanding of its genetic diversity and structure. Cross-species amplification of 34 Bovidae microsatellite loci was tested on a panel of 6 Korean gorals and 10 domestic goats. After polymerase chain reaction (PCR) optimization, 29 (85.3%) microsatellite loci amplified successfully for the Korean gorals and 27 (79.4%) for the domestic goats. Of the amplified products, 16 (55.2%) were polymorphic in the Korean goral and 22 (81.5%) in domestic goats. Nei's unbiased mean heterozygosity and mean allele number per locus were, respectively, 0.356 and 2.6 in the Korean goral and 0.636 and 4.8 in domestic goats. Low genetic diversity in the Korean gorals observed in this preliminary microsatellite survey suggests an urgent need for further detailed study of genetic diversity in Korean goral populations and a population management strategy based on these studies. Current results of cross-species amplification of domestic Bovidae microsatellites could be employed for the necessary population genetic studies on the Korean goral and other endangered Caprinae species.


The Korean goral (Nemorhaedus caudatus) is an endangered species of wild goat (Ministry of Environment of Korea 1998). The goral population has been reduced dramatically by habitat destruction and overexploitation. As a result, the current goral habitat in South Korea is restricted and fragmented. The Korean goral population in South Korea is presumed to be less than 250 (Cultural Properties Administration of Korea 1999), placing it in the International Union for Conservation of Nature and Natural Resources (IUCN) endangered category (IUCN 1996). At present, commercial trade of this species is banned among countries signatory to the Convention on International Trade in Endangered Species (CITES) (Hutton and Dickson 2000). Conservation of the Korean goral is a high priority of the Korean government, as indicated by its designation as Natural Monument animal species number 217. Unfortunately, systematic study for long-term management and conservation of this species is still insufficient. Recent molecular phylogenetic study using mitochondrial DNA (mtDNA) analysis revealed that the Korean goral population is genetically close to the population of the Primorsky region in Russia, but may be distinct from central and southern Chinese populations (Min et al. 2004).

To develop strategies for proper conservation and effective long-term management of an endangered species, detailed information on the present genetic status of the species is important. Polymorphic genetic markers could be of benefit for the conservation and population management of endangered species (Maudet et al. 2001). Microsatellites, short tandem repeated DNA sequences, are desirable in population and conservation studies because they show highly polymorphic codominant inheritance and abundant genomic distribution. They could be amplified via the polymerase chain reaction (PCR) using noninvasive sampling, which is important for the study of endangered species. However, novel microsatellites often have to be isolated before they can be utilized for each species, which generally demands considerable time and high cost. Recently many studies have demonstrated cross-species amplification of Bovidae microsatellites in the Caprinae, allowing possible population studies on species for which microsatellites are not yet developed (Li et al. 2002; Obexer et al. 2003; Saitbekova et al. 1999). This approach is advantageous to the study of endangered species, which might have reduced genetic variation (Maudet et al. 2001). Here we used microsatellites designed for population study of domestic Bovidae (cattle, sheep, and goat) to survey the Korean goral. We then compared the genetic variability of the Korean goral with that in domestic goats.

In Korea the domestic goat (Capra hircus) is one of the most common species of Caprinae. It is also the closest species to the Korean goral. Because the domestic goat has been traditionally grazed in mountain areas in South Korea, the habitat and food resources of the domestic goat can overlap with those of goral. Thus discrimination of goral from the domestic goat might be an important issue, especially for demographic study of the endangered goral population using unidentifiable samples such as feces, hair, or corpora. In addition, because the level of heterozygosity in a larger sample of domestic goats has been surveyed in a previous report (Kim et al. 2002), the level of heterozygosity from this study's much smaller sample size could be compared with the previous report in order to presume reliability of cross-species amplification.

In this study, our objectives are to (1) screen usable polymorphic markers for genetic study of the Korean goral from Bovidae (cattle, sheep, and goat) microsatellites, (2) evaluate current genetic diversity of the endangered Korean goral, and (3) compare genetic diversity of the endangered Korean goral with that of other Caprinae species.


    Materials and Methods
 Top
 Abstract
 Materials and Methods
 Results and Discussion
 References
 
Specimens and DNA Isolation
Tissue samples from six Korean gorals were collected from different regions of South Korea. Four of the samples were from wild animals from two provinces (one from Gyeongsangbuk-do and other three from Gangwon-do, where most of the Korean goral populations are assumed to exist), killed either by accident or by poaching. The two other samples were from carcasses from Everland Zoo in Yongin, South Korea. The zoo-kept samples are thought to derive from Gangwon-do. As the Korean goral is designated as a Natural Monument species, all processes involved in obtaining goral samples strictly followed the guidelines set by the Korean government. Fresh blood was taken from 10 domestic goats. Each individual was from a distinct geographical area and was chosen at random, without consideration of the relationship between animals. Genomic DNA was extracted according to the standard protocols (Maniatis et al. 1982) and using a QIAamp DNA mini kit (QIAGEN, Valencia, CA).

Microsatellite Primers Tested
A total of 34 microsatellite primers, polymorphic in their respective species, were selected in this study (30 bovine [Bos taurus], 2 ovine [Ovis aries], and 2 caprine [Capra hircus]). Of these, bovine microsatellites are recommended by the International Society for Animal Genetics (ISAG) for the genetic diversity in cattle (http://www.projects.roslin.ac.uk/cdiv/markers.html). All primers in this study worked well in the species from which they were isolated. Each primer set was analyzed against a panel of 6 Korean gorals and 10 domestic goats (Table 1).


View this table:
[in this window]
[in a new window]
 
Table 1.. Characteristics of Bovidae microsatellite markers amplified in the test panel of Korean goral and goat and observed (Ho) and expected (He) heterozygosity values for each microsatellite in each species

 
PCR Conditions
The PCR reaction was carried out in a total volume of 12.5 µl using 25 ng of genomic DNA, 1.5 mM of MgCl2, 200 µM of each dNTP, 4 pmol of each primer, and 0.5 unit of Taq polymerase (Takara Panvera, Madison, WI). The PCR amplification was conducted in a T-gradient thermal cycler (Biometra, Germany) using an initial denaturation for 3 min at 94°C, 30 cycles of denaturation for 1 min at 94°C, primer annealing for 1 min at the optimized temperatures (Table 1), and an extension for 1 min at 72°C followed by a final extension of 10 min at 72°C. Two different PCR reactions were carried out. Initially bovine microsatellites were tested at an annealing temperature of 55°C. If a clear PCR product was not found on 1.7% agarose gel in 0.5 x TBE buffer, PCR was repeated by fluctuating the annealing temperature by a series of ±3°C, allowing a maximum range of ±12°C. Ovine and caprine microsatellites were tested using the touchdown method, conducted with a 1°C reduction at each cycle from 60°C to 53°C, followed by 27 cycles at an annealing temperature of 53°C.

Three microliters of the optimized PCR product were mixed with an equal volume of formamide loading dye and heated to 95°C for 2 min. Four microliters were separated on a 6% polyacrylamide gel and silver stained according to manufacturer's standard protocols (Promega, Madison, WI). The exact allele size was determined by direct comparison with agreed marker genotypes of reference animals distributed by the ISAG for standardization of allele assignments across different studies.

Data Analysis
Allele frequency, number of alleles per locus, and observed heterozygosity (Ho) and expected heterozygosity (He) from Hardy-Weinberg assumptions for each locus were computed using the software package GENETIX (Belkhir et al. 2000). Genetic diversity in a population was estimated using average heterozygosity across all loci, which was corrected for small sample size (Nei 1978). For the Hardy-Weinberg equilibrium estimation, we followed the probability test approach (Guo and Thompson 1992) using the program GENEPOP (Raymond and Rousset 1995).


    Results and Discussion
 Top
 Abstract
 Materials and Methods
 Results and Discussion
 References
 
Of the 34 microsatellite primer pairs tested, 29 (85.3%) produced a clear product following amplification of samples for the Korean goral and 27 (79.4%) for domestic goats (Table 1). Of these amplified products, 16 (55.2%) were polymorphic in the Korean goral and 22 (81.5%) were variable in domestic goats. Of the seven primer pairs that failed to amplify DNA from the gorals or goats examined, four (HEL5, TGLA227, ETH185, ILSTS006) did not amplify DNA of either species, two (HEL13, ETH3) produced specific PCR product only in gorals, and one (HEL9) produced specific PCR product only in domestic goats.

Amplification from three primer pairs (HAUT27 for both goral and goat, and HEL9 and HAUT24 for goat) revealed polymorphisms in the test panel with a size difference of only one nucleotide. These primer sets were excluded from further genetic analysis because they might show homoplasy due to imperfect/compound microsatellites or single-base deletion/insertion.

Primer pairs showing the largest number of alleles were ILSTS005 and TGLA126 in the Korean goral (six alleles in both primer pairs) and McMA49 in domestic goats (eight alleles). The levels of observed and expected heterozygosity varied depending on microsatellite markers as well as species applied (Table 1). ILSTS005 showed the highest level of heterozygosity in Korean gorals (He = 0.778) and INRA023 in domestic goats (He = 0.830).

Most of the successful primer pairs showed similar or smaller allele sizes compared with the species from which they were developed, and similar results from cross-species amplification have been reported in previous studies (Primmer et al. 1996; Rubinsztein et al. 1995; van Hooft et al. 1999). Some primers, such as TGLA126 and MCMA49, showed quite different amplification products among the species examined (Table 1). In particular, TGLA126 primers showed larger allele sizes in the Korean goral (with the size range of 257–273 bp) compared with domestic cattle (with the known size range of about 117–131 bp), and these primers failed to amplify the DNA of domestic goats. These primers could therefore be employed for identification of the Korean goral among other domestic Bovidae species because differentiating goral from domestic goats is sometimes hard by corpora, hair, or feces found in the wild.

For the majority of the primer pairs showing polymorphisms in both species, larger numbers of alleles, as well as higher levels of heterozygosity, were observed in the domestic goat than in the Korean goral (Table 1). The average heterozygosity and mean number of alleles per marker were 0.356 and 2.6 in the Korean goral and 0.636 and 4.8 in domestic goats, respectively. The heterozygosity value of the domestic goats in this study is within the range of the heterozygosity of goats reported in previous studies—for example, 0.38–0.67 in northeast Asian domestic goats (Kim et al. 2002), 0.43–0.60 in southeast Asian goat populations (Barker et al. 2001), and 0.44–0.69 in wild goats (Maudet et al. 2001). Although different markers and small samples have been used for diversity studies of the subfamily Caprinae, the values make it possible for us to assume the present status of genetic variability of the Korean goral. The Korean goral revealed the lowest level of heterozygosity among the Caprinae subfamilies examined, which included severely bottlenecked Alpine ibex (Capra ibex ibex) and endangered Spanish ibex (Capra pyrenaica) (Maudet et al. 2001).

The actual heterozygosity of the Korean goral was lower than expected under Hardy-Weinberg equilibrium (Ho = 0.292, He = 0.356), and statistically significant departures reflect the deviation in the direction of heterozygote deficit (P < .01). Although a possible null allele might influence the finding, this is not unexpected considering an assumed population bottleneck due to habitat fragmentation and inbreeding due to small population size.

To our knowledge, this is the first report of genetic diversity in the endangered Korean goral. Low genetic diversity in Korean gorals observed in this preliminary microsatellite survey suggests an urgent need for population management and conservation of this species. Because loss of genetic diversity in endangered species is often associated with inbreeding and a reduction in reproductive fitness (Reed and Frankham 2001), efforts to increase the genetic diversity of the endangered Korean goral should be considered as a high priority for conservation of this species. Since the decline in genetic diversity in Korean gorals could be related to habitat fragmentation, corridors among fragmented habitats or even relocation of individuals should be considered. However, detailed studies on the level of genetic diversity in each fragmented population are necessary to identify the most suitable management prescriptions for the fragmented populations. In this regard, the cross-species amplified microsatellite markers in this study would be greatly useful for providing data on genetic diversity among the fragmented populations, especially if they are used in connection with noninvasive genetic sampling techniques. We are currently working on this possible application.

When one conducts cross-species amplification it is important to remember that there is possible microsatellite ascertainment bias, and that this bias might somehow effect the interpretation of results. Because the results are obtained using microsatellites developed in a different species, the probability of occurrence of a null allele, as well as homoplasy, will be much higher than in the case of testing in the species from which they were isolated. Both null alleles and homoplasy will produce bias in estimating the genetic structure of a population. Future studies likely will investigate the influence of null alleles and homoplasy in cross-species amplified microsatellites and their applicability in other species.


    Acknowledgments
 
We thank to Scott Baker and two anonymous reviewers for critically reviewing a previous draft of this manuscript. We are grateful to all those who sent us precious specimens. This work was partially supported by the Brain Korea 21 Project, Research Institute of Veterinary Science, and a grant from the Cultural Properties Administration of Korea for the genetic study of Korean goral.


    Footnotes
 
Corresponding Editor: C. Scott Baker

Received October 4, 2003
Accepted June 4, 2004


    References
 Top
 Abstract
 Materials and Methods
 Results and Discussion
 References
 

    Barendse W, Armitage SM, Kossarek LM, Shalom A, Kirkpatrick BW, Ryan AM, Clayton D, Li L, Neibergs HL, Zhang N, et al., 1994. A genetic linkage map of the bovine genome. Nat Genet 6:227–235.[CrossRef][Web of Science][Medline]

    Barker JSF, Tan SG, Moore SS, Mukherjee TK, Matheson JL, and Selvaraj OS, 2001. Genetic variation within and relationships among populations of Asian goats (Capra hircus). J Anim Breed Genet 118:213–233.[CrossRef]

    Beh KJ, Riffkin CD, Davies KP, di Ienno KL, and Maddox JF, 2000. Dinucleotide repeat polymorphism at the ovine McMA7, McMA10, McMA13, McMA16, McMA17, McMA27, McMA29, McMA42, McMA47 and McMA49 loci. Anim Genet 31:228–229.[CrossRef][Web of Science][Medline]

    Belkhir K, Borsa P, Goudet J, Chikhi L, and Bonhomme F, 2000. GENETIX version 4.02. Montpellier, France: Université de Montpellier II.

    Bishop MD, Kappes SM, Keele JW, Stone RT, Sunden SL, Hawkins GA, Salinas-Toldo S, Fries R, Grosz MD, Yoo J, et al., 1994. A genetic linkage map for cattle. Genetics 136:619–639.[Abstract]

    Brezinsky LS, Kemp J, and Teale AJ, 1993. ILSTS005: a polymorphic bovine microsatellite. Anim Genet 24:73.[Medline]

    Cultural Properties Administration of Korea, 1999. A report for distribution and ecological studies of Korean Natural Monuments, goral and musk deer. Daejeon, South Korea: Cultural Properties Administration.

    Georges M and Massey JM, 1992. Polymorphic DNA markers in Bovidae Patent WO 92/13102 (1992).

    Guo SW and Thompson EA, 1992. Performing the exact test of Hardy-Weinberg proportion for multiple alleles. Biometrics 48:361–372.[CrossRef][Web of Science][Medline]

    Hutton J and Dickson B, 2000. Endangered species, threatened convention: the past, present and future of CITES. London: Earthscan Publications.

    IUCN, 1996. 1996 IUCN red list of threatened animals. Gland, Switzerland: IUCN.

    Kaukinen J and Varvio SL, 1993. Eight polymorphic bovine microsatellites. Anim Genet 24:148.[Medline]

    Kim KS, Yeo JS, Lee JW, Kim JW, and Choi CB, 2002. Genetic diversity of goats from Korea and China using microsatellite analysis. Asia Aust J Anim Sci 15:461–465.

    Li MH, Zhao SH, Bian C, Wang HS, Wei H, Liu B, Yu M, Fan B, Chen SL, Zhu MJ, et al., 2002. Genetic relationships among twelve Chinese indigenous goat populations based on microsatellite analysis. Genet Sel Evol 34:729–744.[CrossRef][Web of Science][Medline]

    Maniatis T, Sambrook J, and Fritsh EF, 1982. Molecular cloning: a laboratory manual, 2nd ed. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press.

    Maudet C, Luikart G, and Taberlet P, 2001. Development of microsatellite multiplexes for wild goats using primers designed from domestic Bovidae. Genet Sel Evol 33:193–203.

    Min MS, Okumura H, Jo DJ, An JH, Kim KS, Kim CB, Shin NS, Lee MH, Han CH, Voloshina IV, et al., 2004. Molecular phylogenetic status of the Korean goral and Japanese serow based on partial sequences of the mitochondrial cytochrome b gene. Mol Cells 17:365–372.[Web of Science][Medline]

    Ministry of Environment of Korea, 1998. Illustrated magazine of endangered, threatened and protective species of Korea. Gwacheon, South Korea: Ministry of Environment.

    Mommens GW, Coppieters A, Van de Weghe A, Van Zeveren A, and Bouquet Y, 1994. Dinucleotide repeat polymorphism at the bovine MM12E6 and MM8D3 loci. Anim Genet 25:368.[Web of Science][Medline]

    Moore SS and Byrne K, 1993. Dinucleotide polymorphism at the bovine calmodulin independent adenylcyclase locus. Anim Genet 24:150.[Medline]

    Moore SS and Byrne K, 1994. Characterization of 65 bovine microsatellites. Mamm Genome 5:84–90.[CrossRef][Web of Science][Medline]

    Nei M, 1978. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583–590.[Abstract/Free Full Text]

    Obexer-Ruff G, Sattler U, Martinez D, Maillard JC, Chartier C, Saitbekova N, Glowatzki ML, and Gaillard C, 2003. Association studies using random and "candidate" microsatellite loci in two infectious goat diseases. Genet Sel Evol 35:113–119.

    Primmer CR, Moller AP, and Ellegren H, 1996. A wide-range survey of cross-species microsatellite amplification in birds. Mol Ecol 5:365–378.[CrossRef][Medline]

    Raymond M, and Rousset F, 1995. GENEPOP: population genetics software for exact tests and ecumenicism. J Hered 86:248–249.[Free Full Text]

    Reed DH, and Frankham R, 2001. How closely correlated are molecular and quantitative measures of genetic variation? A meta-analysis. Evolution 55:1095–1103.[CrossRef][Web of Science][Medline]

    Rubinsztein DC, Amos W, Leggo J, Goodburn S, Jain S, Li SH, Margolis RL, Ross CA, and Ferguson-Smith MA, 1995. Microsatellite evolution—evidence for directionality and variation in rate between species. Nat Genet 10:337–343.[CrossRef][Web of Science][Medline]

    Saitbekova N, Gaillard C, Obexer-Ruff G, and Dolf G, 1999. Genetic diversity in Swiss goat breeds based on microsatellite analysis. Anim Genet 30:36–41.[CrossRef][Web of Science][Medline]

    Solinas-Toldo S, Fries R, Steffen P, Neibergs HL, Barendse W, Womack JE, Hetzel DJ, and Stranzinger G, 1993. Physically mapped, cosmid-derived microsatellite markers as anchor loci on bovine chromosomes. Mamm Genome 4:720–727.[CrossRef][Web of Science][Medline]

    Steffen P, Eggen A, Dietz AB, Womack JE, Stranzinger G, and Fries R, 1993. Isolation and mapping of polymorphic microsatellites in cattle. Anim Genet 24:121–124.[Web of Science][Medline]

    Thieven U, Solinas-Toldo S, Friedl R, Masabanda J, Fries R, Barendse W, Simon D, and Harlizius B, 1997. Polymorphic CA-microsatellites for the integration of the bovine genetic and physical map. Mamm Genome 8:52–55.[CrossRef][Web of Science][Medline]

    van Hooft WF, Hanotte O, Wenink PW, Groen AF, Sugimoto Y, Prins HH, and Teale A, 1999. Applicability of bovine microsatellite markers for population genetic studies on African buffalo (Syncerus caffer). Anim Genet 30:214–220.[CrossRef][Web of Science][Medline]

    Vaiman D, Osta D, Mercier D, Grohs C, and Leveziel H, 1992. Characterization of five new bovine microsatellite repeats. Anim Genet 23:537.[Web of Science][Medline]

    Vaiman D, Mercier D, Moazami-Goudarzi K, Eggen A, Ciampolini R, Lepingle A, Velmala R, Kaukinen J, Varvio SL, Martin P, et al., 1994. A set of 99 cattle microsatellites: characterization, synteny mapping, and polymorphism. Mamm Genome 5:288–297.[CrossRef][Web of Science][Medline]

    Yeh CC, Kogi JK, Holder MT, Guerra TM, Davies SK, and Taylor JF, 1997. Caprine microsatellite dinucleotide repeat polymorphisms at the SR-CRSP21, SR-CRSP22, SR-CRSP26 and SR-CRSP27 loci. Anim Genet 28:380–381.[Web of Science][Medline]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
GeneticsHome page
Y. Huang, Y. Zhao, C. S. Haley, S. Hu, J. Hao, C. Wu, and N. Li
A Genetic and Cytogenetic Map for the Duck (Anas platyrhynchos)
Genetics, May 1, 2006; 173(1): 287 - 296.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (3)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Kim, K.-S.
Right arrow Articles by Lee, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kim, K.-S.
Right arrow Articles by Lee, H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?