Genetic analysis of the Venezuelan Criollo horse

Genetics and Molecular Research

Volumn 10, Issue 4, 2011, Pages 2394-2403

  Cothran, E G ^a   Canelon, J L ^b   Luis, C ^c   Conant, E ^a   Juras, R ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSIDAD CENTROCCIDENTAL LISANDRO ALVARADO   (Venezuela)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

Horse; Microsatellites; South America; Venezuelan Criollo

Indexed keywords

ALLELE; ANIMAL GENETICS; ANIMAL TISSUE; ARTICLE; BREED; BREEDING METHOD; CONTROLLED STUDY; GENE FREQUENCY; GENE LOCUS; GENETIC ANALYSIS; GENETIC CONSERVATION; GENETIC VARIABILITY; HETEROZYGOTE; HORSE; LIVESTOCK; MICROSATELLITE MARKER; MOLECULAR PHYLOGENY; NONHUMAN; PHYLOGENETIC TREE; POPULATION GENETIC STRUCTURE; POPULATION SIZE; VENEZUELA; HORSE BREED; POPULATION DIFFERENTIATION; ANIMAL; BREEDING; FEMALE; GENETICS; MALE; PHYLOGENY;

EQUIDAE;

ANIMALS; BREEDING; FEMALE; GENETIC VARIATION; HORSES; MALE; PHYLOGENY; VENEZUELA;

EID: 85046981502     PISSN: None     EISSN: 16765680     Source Type: Journal    
DOI: 10.4238/2011.October.7.1     Document Type: Article

References (42)

1. Aberle KS, Hamann H, Drogemuller C and Distl O (2004). Genetic diversity in German draught horse breeds compared with a group of primitive, riding and wild horses by means of microsatellite DNA markers. Anim. Genet. 35: 270-277.
2. Belkhir K, Borsa P, Chikhi L, Raufaste N, et al. (1996-2004). GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5171, Université de Montpellier II, Montpellier (France). Available at [http://www.genetix.univ-montp2.fr/genetix/genetix.htm]. Accessed May 5, 2010.
3. Bjornstad G, Gunby E and Roed KH (2000). Genetic structure of Norwegian horse breeds. J. Anim. Breed. Genet. 117: 307-317.
4. Bort DM (2004). La Ganadería Caballar en la Villa de Almonte. Introducción Histórica. Coleccion Cuadernos de Almonte, Centro Cultural de la Villa, Ayuntamiento de Almonte, Huelva.
5. Bowcock AM, Ruiz-Linares A, Tomfohrde J, Minch E, et al. (1994). High resolution of human evolutionary trees with polymorphic microsatellites. Nature 368: 455-457.
6. Bowling AT, Eggleston-Stott ML, Byrns G, Clark RS, et al. (1997). Validation of microsatellite markers for routine horse parentage testing. Anim. Genet. 28: 247-252.
7. Canon J, Checa ML, Carleos C, Vega-Pla JL, et al. (2000). The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data. Anim. Genet. 31: 39-48.
8. Canon J, Garcia D, Garcia-Atance MA, Obexer-Ruff G, et al. (2006). Geographical partitioning of goat diversity in Europe and the Middle East. Anim. Genet. 37: 327-334.
9. Cavalli-Sforza LL and Edwards AW (1967). Phylogenetic analysis. Models and estimation procedures. Am. J. Hum. Genet. 19: 233-257.
10. Clutton-Brock J (1992). Horse Power: A History of the Horse and Donkey in Human Societies. Natural History Museum Publications, London.
11. Clutton-Brock J (1996). Horse in History. 1st edn. In: Horses Through Time (Olsen S, ed.). Roberts Rinehart Publishers, Dublin, 83-102.
12. Corander J, Marttinen P, Siren J and Tang J (2008). Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations. BMC Bioinformatics 9: 539.
13. De Armas R (1946). Caballo Criollo. Doctoral thesis, Facultad de Ciencias Veterinarias, Universidad Central de Venezuela, Macaray.
14. Del Rio Moreno JL (1992). Guerreros y Ganaderos. I. Caballos y Equidos Españoles en la Conquista y Colonización de América (Siglo. XVI). Real Maestranza de Caballeria de Sevilla, Sevilla, 237.
15. Dieringer D and Schlötterer C (2003). Microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets. Mol. Ecol. Notes 3: 167-169.
16. Digard JP (1994). Le Cheval, Force de l'Homme. Editions Gallimard, Paris.
17. Glowatzki-Mullis ML, Muntwyler J, Pfister W, Marti E, et al. (2006). Genetic diversity among horse populations with a special focus on the Franches-Montagnes breed. Anim. Genet. 37: 33-39.
18. Huson DH and Bryant D (2006). Application of phylogenetic networks in evolutionary studies. Mol. Biol. Evol. 23: 254-267.
19. Jakobsson M and Rosenberg NA (2007). CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23: 1801-1806.
20. Juras R, Cothran EG and Klimas R (2003). Genetic analysis of three Lithuanian native horse breeds. Acta Agric. Scand. Sec. A. Animal Sci. 53: 180-185.
21. Kelly L, Postiglioni A, De Andres DF, Vega-Pla JL, et al. (2002). Genetic characterisation of the Uruguayan Creole horse and analysis of relationships among horse breeds. Res. Vet. Sci. 72: 69-73.
22. Lacas MM (1953). A sixteenth-century german colonizing venture in Venezuela. Americas 9: 275-290.
23. Langella O (1999). Populations, 1.2.28. Available at [http://www.bioinformatics.org/~tryphon/populations/]. Accessed May 5, 2010.
24. Leroy G, Callede L, Verrier E, Meriaux JC, et al. (2009). Genetic diversity of a large set of horse breeds raised in France assessed by microsatellite polymorphism. Genet. Sel. Evol. 41: 31.
25. Luís C, Bastos-Silveira C, Cothran EG and Oom MM (2006). Iberian origins of New World horse breeds. J. Hered. 97: 107-113.
26. Luís C, Juras R, Oom MM and Cothran EG (2007). Genetic diversity and relationships of Portuguese and other horse breeds based on protein and microsatellite loci variation. Anim. Genet. 38: 20-27.
27. Marshall TC, Slate J, Kruuk LE and Pemberton JM (1998). Statistical confidence for likelihood-based paternity inference in natural populations. Mol. Ecol. 7: 639-655.
28. Mirol PM, Peral GP, Vega-Pla JL and Dulout FN (2002). Phylogenetic relationships of Argentinean Creole horses and other South American and Spanish breeds inferred from mitochondrial DNA sequences. Anim. Genet. 33: 356-363.
29. Nei M, Tajima F and Tateno Y (1983). Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data. J. Mol. Evol. 19: 153-170.
30. Paekall R and Smouse PE (2006). GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes 6: 288-295.
31. Page RD (1996). TreeView: an application to display phylogenetic trees on personal computers. Comput. Appl Biosci. 12: 357-358.
32. Piry S, Alapetite A, Cornuet JM, Paetkau D, et al. (2004). GENECLASS2: a software for genetic assignment and first-generation migrant detection. J. Hered. 95: 536-539.
33. Plante Y, Vega-Pla JL, Lucas Z, Colling D, et al. (2007). Genetic diversity in a feral horse population from Sable Island, Canada. J. Hered. 98: 594-602.
34. Primo AT (2004). América: Conquista e Colonização: A Fantástica História dos Conquistadores Ibéricos e seus Animais na Era dos Descobrimentos. Editora Movimento, Porto Alegre.
35. Pritchard JK, Stephens M and Donnelly P (2000). Inference of population structure using multilocus genotype data. Genetics 155: 945-959.
36. Raymond M and Rousset F (1995). GENEPOP (version 4.0) Population genetic software for exact tests and ecumenicism. J. Hered. 86: 248-249.
37. Rice WR (1989). Analyzing tables of statistical tests. Evolution 43: 223-225.
38. Rosenberg NA (2004). DISTRUCT: a program for the graphical display of population structure. Mol. Ecol. Notes 4: 137-138.
39. Rosenberg NA, Pritchard JK, Weber JL, Cann HM, et al. (2002). Genetic structure of human populations. Science 298: 2381-2385.
40. Sereno FTPS, Sereno JRB, Vega-Pla JL, Kelly L, et al. (2008). Genetic diversity of Brazilian Pantaneiro horse and relationships among horse breeds. Pesq. Agropec. Bras. 43: 595-604.
41. Solis A, Jugo BM, Meriaux JC, Iriondo M, et al. (2005). Genetic diversity within and among four South European native horse breeds based on microsatellite DNA analysis: implications for conservation. J. Hered. 96: 670-678.
42. Wang S, Lewis CM, Jakobsson M, Ramachandran S, et al. (2007). Genetic variation and population structure in native Americans. PLoS. Genet. 3: e185.