Spatial trends of genetic variation of domestic ruminants in Europe

Denis LaloÃ«; Katayoun Moazami-Goudarzi; Johannes A. Lenstra; Paolo Ajmone Marsan; Pedro Azor; Roswitha Baumung; Daniel G. Bradley; Michael W. Bruford; Javier CaÃ±Ã³n; Gaudenz Dolf; Susana Dunner; Georg Erhardt; Godfrey Hewitt; Juha Kantanen; Gabriela Obexer-Ruff; Ingrid Olsaker; Clemen Rodellar; Alessio Valentini; Pamela Wiener; P. Dobi; A. Hoda; S. Matraninon; F. Fischerleitner; G. Mommens; P. Baret; A. Fadlaoui; L. E. Holm; M. A.A. El-Barody; P. Taberlet; G. Luikart; A. Beja-Pereira; P. England; M. Trommetter; A. Oulmouden; H. LevÃ©ziel; O. Jann; C. Weimann; E. M. Prinzenberg; C. Peter; B. Harlizius; C. Looft; E. Kalm; J. Roosen; A. Georgoudis; C. Ligda; L. FÃ©sÃ¼s; D. E. Machugh; A. R. Freeman; R. Negrini; E. Milanesi; G. Canali; M. C. Savarese; C. Marchitelli; L. Pariset; I. Cappuccio; M. Zanotti; G. Ceriotti; M. Cicogna; P. Crepaldi; F. Pilla; A. Bruzzone; D. Iamartino; A. Carta; T. Sechi; G. D'urso; S. Bordonaro; D. Marletta; M. Abo-Shehada; I. J. Nijman; M. Felius; R. Niznikowski; A. Vlaic; T. Kiselyova; N. Marzanov; Z. Ivanova; R. Popov; I. Ammosov; M. Ä†inkulov; P. Zaragoza; A. Sanchez; J. Piedrafita; E. Rodero; K. Sandberg; M. L. Glowatzki; R. Caloz; S. Joost; O. Ertugrul; I. Togan; J. L. Williams; D. Burton; T. Perez; S. Dalamitra

doi:10.3390/d2060932

Spatial trends of genetic variation of domestic ruminants in Europe

Denis LaloÃ«, Katayoun Moazami-Goudarzi, Johannes A. Lenstra, Paolo Ajmone Marsan, Pedro Azor, Roswitha Baumung, Daniel G. Bradley, Michael W. Bruford, Javier CaÃ±Ã³n, Gaudenz Dolf, Susana Dunner, Georg Erhardt, Godfrey Hewitt, Juha Kantanen, Gabriela Obexer-Ruff, Ingrid Olsaker, Clemen Rodellar, Alessio Valentini, Pamela Wiener, P. DobiA. Hoda, S. Matraninon, F. Fischerleitner, G. Mommens, P. Baret, A. Fadlaoui, L. E. Holm, M. A.A. El-Barody, P. Taberlet, G. Luikart, A. Beja-Pereira, P. England, M. Trommetter, A. Oulmouden, H. LevÃ©ziel, O. Jann, C. Weimann, E. M. Prinzenberg, C. Peter, B. Harlizius, C. Looft, E. Kalm, J. Roosen, A. Georgoudis, C. Ligda, L. FÃ©sÃ¼s, D. E. Machugh, A. R. Freeman, R. Negrini, E. Milanesi, G. Canali, M. C. Savarese, C. Marchitelli, L. Pariset, I. Cappuccio, M. Zanotti, G. Ceriotti, M. Cicogna, P. Crepaldi, F. Pilla, A. Bruzzone, D. Iamartino, A. Carta, T. Sechi, G. D'urso, S. Bordonaro, D. Marletta, M. Abo-Shehada, I. J. Nijman, M. Felius, R. Niznikowski, A. Vlaic, T. Kiselyova, N. Marzanov, Z. Ivanova, R. Popov, I. Ammosov, M. Ä†inkulov, P. Zaragoza, A. Sanchez, J. Piedrafita, E. Rodero, K. Sandberg, M. L. Glowatzki, R. Caloz, S. Joost, O. Ertugrul, I. Togan, J. L. Williams, D. Burton, T. Perez, S. Dalamitra

Research output: Contribution to journal › Article › Research › peer-review

19 Citations (Scopus)

Abstract

The introduction of livestock species in Europe has been followed by various genetic events, which created a complex spatial pattern of genetic differentiation. Spatial principal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS) incorporate geography in multivariate analysis. This method was applied to three microsatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds from Europe, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, and the first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCA analysis. However, higher sPCA coordinates suggest, for all three species, additional spatial structuring. The goat is the most geographically structured species, followed by cattle. For all three species, the main genetic cline is from southeast to northwest, but other geographic patterns depend on the species. We propose sPCA and sMDS to be useful tools for describing the correlation of genetic variation with geography. © 2010 by the authors; licensee MDPI, Basel, Switzerland.

Original language	English
Pages (from-to)	932-945
Journal	Diversity
Volume	2
Issue number	6
DOIs	https://doi.org/10.3390/d2060932
Publication status	Published - 1 Jun 2010

Keywords

Cattle
Diversity
Goat
Moran's I
Multidimensional Scaling
PCA
Sheep
Spatial structure
sPCA

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10.3390/d2060932

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LaloÃ«, D., Moazami-Goudarzi, K., Lenstra, J. A., Marsan, P. A., Azor, P., Baumung, R., Bradley, D. G., Bruford, M. W., CaÃ±Ã³n, J., Dolf, G., Dunner, S., Erhardt, G., Hewitt, G., Kantanen, J., Obexer-Ruff, G., Olsaker, I., Rodellar, C., Valentini, A., Wiener, P., ... Dalamitra, S. (2010). Spatial trends of genetic variation of domestic ruminants in Europe. Diversity, 2(6), 932-945. https://doi.org/10.3390/d2060932

@article{917a54ea58834f21abd431fd2eacf7c7,

title = "Spatial trends of genetic variation of domestic ruminants in Europe",

abstract = "The introduction of livestock species in Europe has been followed by various genetic events, which created a complex spatial pattern of genetic differentiation. Spatial principal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS) incorporate geography in multivariate analysis. This method was applied to three microsatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds from Europe, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, and the first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCA analysis. However, higher sPCA coordinates suggest, for all three species, additional spatial structuring. The goat is the most geographically structured species, followed by cattle. For all three species, the main genetic cline is from southeast to northwest, but other geographic patterns depend on the species. We propose sPCA and sMDS to be useful tools for describing the correlation of genetic variation with geography. {\textcopyright} 2010 by the authors; licensee MDPI, Basel, Switzerland.",

keywords = "Cattle, Diversity, Goat, Moran's I, Multidimensional Scaling, PCA, Sheep, Spatial structure, sPCA",

author = "Denis Lalo{\~A}« and Katayoun Moazami-Goudarzi and Lenstra, {Johannes A.} and Marsan, {Paolo Ajmone} and Pedro Azor and Roswitha Baumung and Bradley, {Daniel G.} and Bruford, {Michael W.} and Javier Ca{\~A}±{\~A}³n and Gaudenz Dolf and Susana Dunner and Georg Erhardt and Godfrey Hewitt and Juha Kantanen and Gabriela Obexer-Ruff and Ingrid Olsaker and Clemen Rodellar and Alessio Valentini and Pamela Wiener and P. Dobi and A. Hoda and S. Matraninon and F. Fischerleitner and G. Mommens and P. Baret and A. Fadlaoui and Holm, {L. E.} and El-Barody, {M. A.A.} and P. Taberlet and G. Luikart and A. Beja-Pereira and P. England and M. Trommetter and A. Oulmouden and H. Lev{\~A}{\textcopyright}ziel and O. Jann and C. Weimann and Prinzenberg, {E. M.} and C. Peter and B. Harlizius and C. Looft and E. Kalm and J. Roosen and A. Georgoudis and C. Ligda and L. F{\~A}{\textcopyright}s{\~A}¼s and Machugh, {D. E.} and Freeman, {A. R.} and R. Negrini and E. Milanesi and G. Canali and Savarese, {M. C.} and C. Marchitelli and L. Pariset and I. Cappuccio and M. Zanotti and G. Ceriotti and M. Cicogna and P. Crepaldi and F. Pilla and A. Bruzzone and D. Iamartino and A. Carta and T. Sechi and G. D'urso and S. Bordonaro and D. Marletta and M. Abo-Shehada and Nijman, {I. J.} and M. Felius and R. Niznikowski and A. Vlaic and T. Kiselyova and N. Marzanov and Z. Ivanova and R. Popov and I. Ammosov and M. {\"A}†inkulov and P. Zaragoza and A. Sanchez and J. Piedrafita and E. Rodero and K. Sandberg and Glowatzki, {M. L.} and R. Caloz and S. Joost and O. Ertugrul and I. Togan and Williams, {J. L.} and D. Burton and T. Perez and S. Dalamitra",

year = "2010",

month = jun,

day = "1",

doi = "10.3390/d2060932",

language = "English",

volume = "2",

pages = "932--945",

journal = "Diversity",

issn = "1424-2818",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "6",

}

LaloÃ«, D, Moazami-Goudarzi, K, Lenstra, JA, Marsan, PA, Azor, P, Baumung, R, Bradley, DG, Bruford, MW, CaÃ±Ã³n, J, Dolf, G, Dunner, S, Erhardt, G, Hewitt, G, Kantanen, J, Obexer-Ruff, G, Olsaker, I, Rodellar, C, Valentini, A, Wiener, P, Dobi, P, Hoda, A, Matraninon, S, Fischerleitner, F, Mommens, G, Baret, P, Fadlaoui, A, Holm, LE, El-Barody, MAA, Taberlet, P, Luikart, G, Beja-Pereira, A, England, P, Trommetter, M, Oulmouden, A, LevÃ©ziel, H, Jann, O, Weimann, C, Prinzenberg, EM, Peter, C, Harlizius, B, Looft, C, Kalm, E, Roosen, J, Georgoudis, A, Ligda, C, FÃ©sÃ¼s, L, Machugh, DE, Freeman, AR, Negrini, R, Milanesi, E, Canali, G, Savarese, MC, Marchitelli, C, Pariset, L, Cappuccio, I, Zanotti, M, Ceriotti, G, Cicogna, M, Crepaldi, P, Pilla, F, Bruzzone, A, Iamartino, D, Carta, A, Sechi, T, D'urso, G, Bordonaro, S, Marletta, D, Abo-Shehada, M, Nijman, IJ, Felius, M, Niznikowski, R, Vlaic, A, Kiselyova, T, Marzanov, N, Ivanova, Z, Popov, R, Ammosov, I, Ä†inkulov, M, Zaragoza, P, Sanchez, A, Piedrafita, J, Rodero, E, Sandberg, K, Glowatzki, ML, Caloz, R, Joost, S, Ertugrul, O, Togan, I, Williams, JL, Burton, D, Perez, T & Dalamitra, S 2010, 'Spatial trends of genetic variation of domestic ruminants in Europe', Diversity, vol. 2, no. 6, pp. 932-945. https://doi.org/10.3390/d2060932

TY - JOUR

T1 - Spatial trends of genetic variation of domestic ruminants in Europe

AU - LaloÃ«, Denis

AU - Moazami-Goudarzi, Katayoun

AU - Lenstra, Johannes A.

AU - Marsan, Paolo Ajmone

AU - Azor, Pedro

AU - Baumung, Roswitha

AU - Bradley, Daniel G.

AU - Bruford, Michael W.

AU - CaÃ±Ã³n, Javier

AU - Dolf, Gaudenz

AU - Dunner, Susana

AU - Erhardt, Georg

AU - Hewitt, Godfrey

AU - Kantanen, Juha

AU - Obexer-Ruff, Gabriela

AU - Olsaker, Ingrid

AU - Rodellar, Clemen

AU - Valentini, Alessio

AU - Wiener, Pamela

AU - Dobi, P.

AU - Hoda, A.

AU - Matraninon, S.

AU - Fischerleitner, F.

AU - Mommens, G.

AU - Baret, P.

AU - Fadlaoui, A.

AU - Holm, L. E.

AU - El-Barody, M. A.A.

AU - Taberlet, P.

AU - Luikart, G.

AU - Beja-Pereira, A.

AU - England, P.

AU - Trommetter, M.

AU - Oulmouden, A.

AU - LevÃ©ziel, H.

AU - Jann, O.

AU - Weimann, C.

AU - Prinzenberg, E. M.

AU - Peter, C.

AU - Harlizius, B.

AU - Looft, C.

AU - Kalm, E.

AU - Roosen, J.

AU - Georgoudis, A.

AU - Ligda, C.

AU - FÃ©sÃ¼s, L.

AU - Machugh, D. E.

AU - Freeman, A. R.

AU - Negrini, R.

AU - Milanesi, E.

AU - Canali, G.

AU - Savarese, M. C.

AU - Marchitelli, C.

AU - Pariset, L.

AU - Cappuccio, I.

AU - Zanotti, M.

AU - Ceriotti, G.

AU - Cicogna, M.

AU - Crepaldi, P.

AU - Pilla, F.

AU - Bruzzone, A.

AU - Iamartino, D.

AU - Carta, A.

AU - Sechi, T.

AU - D'urso, G.

AU - Bordonaro, S.

AU - Marletta, D.

AU - Abo-Shehada, M.

AU - Nijman, I. J.

AU - Felius, M.

AU - Niznikowski, R.

AU - Vlaic, A.

AU - Kiselyova, T.

AU - Marzanov, N.

AU - Ivanova, Z.

AU - Popov, R.

AU - Ammosov, I.

AU - Ä†inkulov, M.

AU - Zaragoza, P.

AU - Sanchez, A.

AU - Piedrafita, J.

AU - Rodero, E.

AU - Sandberg, K.

AU - Glowatzki, M. L.

AU - Caloz, R.

AU - Joost, S.

AU - Ertugrul, O.

AU - Togan, I.

AU - Williams, J. L.

AU - Burton, D.

AU - Perez, T.

AU - Dalamitra, S.

PY - 2010/6/1

Y1 - 2010/6/1

N2 - The introduction of livestock species in Europe has been followed by various genetic events, which created a complex spatial pattern of genetic differentiation. Spatial principal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS) incorporate geography in multivariate analysis. This method was applied to three microsatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds from Europe, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, and the first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCA analysis. However, higher sPCA coordinates suggest, for all three species, additional spatial structuring. The goat is the most geographically structured species, followed by cattle. For all three species, the main genetic cline is from southeast to northwest, but other geographic patterns depend on the species. We propose sPCA and sMDS to be useful tools for describing the correlation of genetic variation with geography. © 2010 by the authors; licensee MDPI, Basel, Switzerland.

AB - The introduction of livestock species in Europe has been followed by various genetic events, which created a complex spatial pattern of genetic differentiation. Spatial principal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS) incorporate geography in multivariate analysis. This method was applied to three microsatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds from Europe, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, and the first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCA analysis. However, higher sPCA coordinates suggest, for all three species, additional spatial structuring. The goat is the most geographically structured species, followed by cattle. For all three species, the main genetic cline is from southeast to northwest, but other geographic patterns depend on the species. We propose sPCA and sMDS to be useful tools for describing the correlation of genetic variation with geography. © 2010 by the authors; licensee MDPI, Basel, Switzerland.

KW - Cattle

KW - Diversity

KW - Goat

KW - Moran's I

KW - Multidimensional Scaling

KW - PCA

KW - Sheep

KW - Spatial structure

KW - sPCA

U2 - 10.3390/d2060932

DO - 10.3390/d2060932

M3 - Article

VL - 2

SP - 932

EP - 945

JO - Diversity

JF - Diversity

SN - 1424-2818

IS - 6

ER -

Spatial trends of genetic variation of domestic ruminants in Europe

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Keywords

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