Comparison of different Hungarian Grey herds as based on microsatellite analysis

• Autorzy: Zsolnai A. , Kovacs A. , Anton I. , Ratky J. , Brussow K. P. , Jozsa C. , Ban B. , Gyurman A.
• Języki publikacji: EN

Abstrakty

EN

The present study aimed at assessing the genetic position of the Hungarian Gray population. Hungarian Grey cattle kept at different farms in Hungary have been sampled (34 herds, n=3,187 in the period of 2009-2011) to investigate their genetic relationship based on analysis of allelic variation at eleven microsatellite loci. The mean observed heterozygosities per herd were above a moderate degree (0.60-0.80). Calculation of pairwise genetic distances and analysis of the history of herds revealed that among the most closely related herds we can find those, which are the core of the current Hungarian Gray population. The results of the population differentiation showed that all Hungarian Gray herds were significantly different from each other. In most cases (22 herds) FST values were within a range of low degree of genetic differentiation (0.003-0.050), while the remaining 12 herds differed from the central population by FST values of 0.060-0.119. Principal coordinate analysis, assignment tests and dendrograms all suggest that there are mainly two different groups among Hungarian Grey herds. Structure analysis has yielded K=3 as the most probable number of clusters. Based on the private allelic richness, genetic distance and FIS values identified were 12 herds where more attention should be paid by the management to avoid genetic drift and to preserve genetic diversity. The results presented could also contribute to the proper selection of animals for further whole genome scan studies of Hungarian Grey.

• Wydawca: -
• Czasopismo: Animal Science Papers and Reports
• Rocznik: 2014
• Tom: 32
• Numer: 2
• Opis fizyczny: p.121-130,fig.,ref.

Twórcy

autor

Zsolnai A.

• Research Institute for Animal Breeding and Nutrition, Herceghalom, Hungary

autor

Kovacs A.

• University of Debrecen, Debrecen, Hungary

autor

Anton I.

• Research Institute for Animal Breeding and Nutrition, Herceghalom, Hungary

autor

Ratky J.

• Research Institute for Animal Breeding and Nutrition, Herceghalom, Hungary

autor

Brussow K. P.

• Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany

autor

Jozsa C.

• National Food Chain Safety Office, Genetic Laboratory, Budapest, Hungary

autor

Ban B.

• National Food Chain Safety Office, Genetic Laboratory, Budapest, Hungary

autor

Gyurman A.

• National Food Chain Safety Office, Genetic Laboratory, Budapest, Hungary

Bibliografia

• BARTOSIEWICZ L., 1996 – Hungarian Grey Cattle: in Search of Origins. Hungarian Agricultural Research 5, 13-20.
• BARTOSIEWICZ L., 1997 – The Hungarian Grey cattle: a traditional European breed. Animal Genetic Resources Information 21, 49-60.
• BOETTCHER P.J., TIXIER-BOICHARD M., TORO M.A., SIMIANER H., EDING H.,GANDINI G., JOOST S., GARCIA D., COLLI L., AJMONE-MARSAN P. and the GLOBALDIV CONSORTIUM, 2010 – Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources. Animal Genetics, 41 (suppl. 1), 64–77.
• BODÓ I., GERA I., KOPPÁNY G., 1996 – The Hungarian Grey cattle breed. Association of the Hungarian Grey Cattle Breeders, Budapest, 128.
• BODÓ I., 2011 – Podolic cattle. Debrecen University ISBN 978-615-5183-01-0
• CORANDER J., WALDMANN P., SILLANPÄÄ M.J., 2003 – Bayesian analysis of genetic differentiation between populations. Genetics 163, 367-374.
• EVANNO G., REGNAUT S., GOUDET J., 2005 – Detecting the number of clusters of individuals using the software structure: a simulation study. Molecular Ecology 14, 2611-2620.
• EXCOFFIER l., LAVAL G., SCHNEIDER S., 2005 – Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1, 47-50.
• FILIPPINI F., 2011 – Probable origin and history of Podolic breeds in Italy. In: Bodó I. (Ed.):Podolic cattle. Debrecen University, 19-21.
• FRKONJA A., GREDLER B., SCHNYDER U., CURIK I., SÖLKNER J., 2012 – Prediction of breed composition in an admixed cattle population. Animal Genetics 43, 696-703.
• GOUDET J., 1995 – FSTAT (Version 1.2): A computer program to calculate F-statistics. Journal of Heredity 86, 485-486.
• HARTL D.L., CLARK A.G., 1997 – Principles of Population Genetics, 3rd edn. Sinauer Associates,Inc, Sunderland, 118-119.
• KALINOWSKI S.T., 2005 – HP-RARE 1.0: a computer program for performing rarefaction on measures of allelic richness. Molecular Ecology Notes 5, 187-189.
• KIMURA M., CRAW J.F., 1964 – The number of alleles that can be maintained in a finite population.Genetics 49, 725-738.
• KOVÁCS A., 1989 – Application of cytogenetics to cattle breeding improvement. In: Halnan C. R.E. (Ed.): Cytogenetics of animals. C.A.B. England, 221-234.
• MANATRINON S., FISCHERLEITNER F., BAUMUNG R., 2008 – Genetic characterization among some Austrian and Hungarian cattle breeds Archiv für Tierzuht, 5, 426-437.
• MANZONE M (2011) – Improperly naming of an Italian breed. In: Bodó I. (Ed.): Podolic cattle.Debrecen University, 17-18.
• MARÓTI-AGÓTS Á (2011) – The origin of Podolic breeds and the name of the breed group. In:Bodó I. (Ed.): Podolic cattle. Debrecen University, 11-17.
• MATTESZ J. 1927 – A mezőhegyesi magyarfajta marha monográfiája (The monography of Hungarian cattles in Mezőhegyes). Székely és Társa Könyvnyomdája, Sopron,
• MILHOFFER S. 1904 – Magyarország közgazdasága I. (Economy of Hungary I.) Franklin,Budapest, 31.
• MILLER M.P., 1997 – Tools for population genetic analysis (TFPGA) 1.3: A Windows program for the analysis of allozyme and molecular population genetic data. Distributed by the author.
• NEI M., 1972 – Genetic distance between populations. American Naturalist 106, 283-392.
• PAETKAU D., SLADE R., BURDEN M., ESTOUP, A., 2004 – Direct, real-time estimation of migration rate using assignment methods: a simulation-based exploration of accuracy and power.Molecular Ecology 13, 55-65.
• PARISET L., MARIOTTI M., NARDONE A., SOYSAL M.I., OZKAN E., WILLIAMS J.L.,DUNNER S., LEVEZIEL H., MARÓTI-AGOÓTS A., BODÓ I., VALENTINI A., 2010 –Relationships between Podolic cattle breeds assessed by single nucleotide polymorphisms (SNPs)genotyping. Journal of Animal Breeding and Genetics 127, 481-488.
• PEAKALL R., SMOUSE P.E., 2006 – Genalex 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6, 288-295.
• PIRY S., ALAPETITE A., CORNUET J.M., PAETKAU D., BAUDOUIN L., ESTOUP A., 2004 – GeneClass2: A software for genetic assignment and first-generation migrant detection. Journal of Heredity 95, 536-539.
• RANNALA B., MOUNTAIN J.L., 1997 – Detecting immigration by using multilocus genotypes.Proceedings of the National Academy of Sciences of the United States of America 94, 9197-9221.
• ROUSSET F., 2008 – Genepop’007: a complete reimplementation of the Genepop software for Windows and Linux. Molecular Ecology Resources 8, 103-106.
• SZÁNTÓ-EGÉSZ R., UJHELYI G., KOPPÁNYNÉ SZABÓ E., JÁNOSI A., MOHR A., SIPOS R.,DALLMANN K., MICSINAI A., ZSOLNAI A., EGERSZEGI I., ANTON I., TÓTH G., MOLNÁR J., STÉGER V., MARINCS F., TÓTH P., RÁTKY J., 2013 – Mangalica termékek kimutatására alkalmas real-time PCR módszer fejlesztése. (Development of QPCR method for detection of Mangalica component in food) Élelmiszer Tudomány és Technológia 1, 12-17.
• TAKÁCS E., MARÓTI-AGÓTS Á, MOLNÁRNÉ GYURMÁN A., GERA I., Bodó I., 2006 – jelentősebb tenyészetek összehasonlítása a vércsoportok, a vér polimorf rendszerei és és a mikroszatellitek alapján (Comparison of important Hungarian Grey herds based on blood group,other and microsatellite polimorphism) In: Mihók S. (Ed.): Conservation. Debrecen University, 22-28.
• TAKEZAKI N., NEI M., TAMURA K., 2010 – POPTREE2: Software for constructing population trees from allele frequency data and computing other population statistics with Windows interface.Molecular Biology and Evolution 27, 747-752.
• TORMAY B., 1901 – A szarvasmarha és tenyésztése I-II. (The cattle and cattle breeding) Athenaeum Irodalmi és Nyomdai R.T. Budapest, 407.
• VAN OOSTERHOUT C., HUTCHINSON W.F., WILLS D.P.M., SHIPLEY P., 2004 – microchecker: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4, 535-538.
• ZSOLNAI A., RADNÓCZY L., FÉSÜS L., ANTON I., 2006 – Do Mangalica Pigs of Different Colours Really Belong to Different Breeds? Archiv für Tierzucht-Archives of Animal Breeding 49,477-483.
• ZSOLNAI A., TÓTH G., MOLNÁR J., STÉGER V, MARINCS F., JÁNOSI A., UJHELYI G.,KOPPÁNYNÉ SZABÓ E., MOHR A., ANTON I., SZÁNTÓ-EGÉSZ R., EGERSZEGI I., SIPOS R., DALLMANN K., TÓTH P., MICSINAI A., BRÜSSOW K.P., RÁTKY J., 2013 – Identification of nine SNPs distinguishing varieties of Mangalica breed and a SNP set for parentage testing in Mangalica *. Archiv für Tierzucht-Archives of Animal Breeding DOI:10.7482/0003-9438-56-019.