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1. Detection of QTL controlling metabolism, meat quality, and liver quality traits of the overfed interspecific hybrid mule duck1

Author

L Bonnal, Xavier Fernandez, Olivier Filangi, Elisabeth Baéza, H Manse, Alain Vignal, Jean-Marc André, M. Kileh-Wais, Denis Bastianelli, C Genêt, Daniel Guemene, Christel Marie-Etancelin, Jean-Michel Elsen, K. Feves, Marie-Dominique Bernadet, Florence Vignoles, Francois Dubos, and Stéphane Davail

Subjects
Offspring, Population, Quantitative trait locus, Biology, 03 medical and health sciences, Animal science, Pleiotropy, Chromosome regions, Genetics, medicine, education, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, education.field_of_study, Fatty liver, 0402 animal and dairy science, food and beverages, 04 agricultural and veterinary sciences, General Medicine, Heritability, medicine.disease, 040201 dairy & animal science, Backcrossing, Animal Science and Zoology, Food Science
Abstract

The mule duck, an interspecific hybrid obtained by crossing common duck (Anas platyrhynchos) females with Muscovy (Cairina moschata) drakes, is widely used for fatty liver production. The purpose of the present study was to detect and map single and pleiotropic QTL that segregate in the common duck species, and influence the expression of traits in their overfed mule duck offspring. To this end, we generated a common duck backcross (BC) population by crossing Kaiya and heavy Pekin experimental lines, which differ notably in regard to the BW and overfeeding ability of their mule progeny. The BC females were mated to Muscovy drakes and, on average, 4 male mule ducks hatched per BC female (1600 in total) and were measured for growth, metabolism during growth and the overfeeding period, overfeeding ability, and the quality of their breast meat and fatty liver. The phenotypic value of BC females was estimated for each trait by assigning to each female the mean value of the phenotypes of her offspring. Estimations allowed for variance, which depended on the number of male offspring per BC and the heritability of the trait considered. The genetic map used for QTL detection consisted of 91 microsatellite markers aggregated into 16 linkage groups (LG) covering a total of 778 cM. Twenty-two QTL were found to be significant at the 1% chromosome-wide threshold level using the single-trait detection option of the QTLMap software. Most of the QTL detected were related to the quality of breast meat and fatty liver: QTL for meat pH 20 min post mortem were mapped to LG4 (at the 1% genome-wide significance level), and QTL for meat lipid content and cooking losses were mapped to LG2a. The QTL related to fatty liver weight and liver protein and lipid content were for the most part detected on LG2c and LG9. Multitrait analysis highlighted the pleiotropic effects of QTL in these chromosome regions. Apart from the strong QTL for plasma triglyceride content at the end of the overfeeding period mapped to chromosome Z using single-trait analysis, all metabolic trait QTL were detected with the multitrait approach: the QTL mapped to LG14 and LG21 affected the plasma cholesterol and triglyceride contents, whereas the QTL mapped to LG2a seemed to impact glycemia and the basal plasma corticosterone content. A greater density genetic map will be needed to further fine map the QTL.

Published
2013
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2. Corticosteroid Binding Globulin: A New Target for Cortisol-Driven Obesity

Author

Nathalie Iannuccelli, Patrick Chardon, Denis Milan, Olga Ousova, Pierre Mormède, Martine Yerle, Véronique Guyonnet-Dupérat, Jean Pierre Bidanel, Marie-Pierre Moisan, Agnès Emptoz-Bonneton, C Genêt, Bastien Llamas, Joël Gellin, Michel Pugeat, Neurogénétique et Stress (NS), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), and Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
Male, Hydrocortisone, Sus scrofa, Endocrinology, Adipose Tissue, Brown, Transcortin, Cloning, Molecular, 2. Zero hunger, Genetics, 0303 health sciences, education.field_of_study, biology, Chromosome Mapping, 04 agricultural and veterinary sciences, General Medicine, obésité, Sequence Analysis, medicine.medical_specialty, Globulin, Molecular Sequence Data, Quantitative Trait Loci, Population, Quantitative trait locus, 03 medical and health sciences, Species Specificity, Genetic linkage, Internal medicine, medicine, Animals, Genetic Predisposition to Disease, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, porcin, Radiation hybrid mapping, Obesity, RNA, Messenger, Muscle, Skeletal, education, Molecular Biology, Gene, 030304 developmental biology, Bacterial artificial chromosome, CORTISOL, gène, CLONAGE DE GENE, 0402 animal and dairy science, 040201 dairy & animal science, génie génétique, biology.protein, porc
Abstract

We present data suggesting that corticosteroid-binding globulin (CBG) may be the causal gene of a previously identified quantitative trait locus (QTL) associated with cortisol levels, fat, and muscle content in a pig intercross. Because Cbg in human and mouse maps in the region orthologous to the pig region containing this QTL, we considered Cbg as an interesting positional candidate gene because CBG plays a major role in cortisol bioavailability. Firstly, we cloned pig Cbg from a bacterial artificial chromosome library and showed by fluorescent in situ hybridization and radiation hybrid mapping that it maps on 7q26 at the peak of the QTL interval. Secondly, we detected in a subset of the pig intercross progeny a highly significant genetic linkage between CBG plasma binding capacity values and the chromosome 7 markers flanking the cortisol-associated QTL. In this population, CBG capacity is correlated positively to fat and negatively to muscle content. Thirdly, CBG capacity was three times higher in Meishan compared with Large White parental breeds and a 7-fold difference was found in Cbg mRNA expression between the two breeds. Overall, the data accumulated in this study point to Cbg gene as a key regulator of cortisol levels and obesity susceptibility.

Published
2004
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3. Contents Vol. 102, 2003

Author

H.A. Lewin, G. Pielberg, H.B. Park, V. Russo, R.W. Dunstan, M. Niikura, A. Fu, H. Hayes, C. Moran, J. Womack, S. Kubickova, M.A. Ferguson-Smith, J.L. Williams, J.L. Myka, J. van der Poel, Loren C. Skow, B. van Hest, M. Menotti-Raymond, David L. Adelson, J. Schläpfer, H. Bird, J.R. Garbe, A.A. Schäffer, N. Yasinetskaya, M. Marra, K. Jacobs, C. Elduque, Y. Da, F. Yang, E.G. Cothran, W.J. Murphy, D. Zudova, P. Chardon, V. Amarger, E.P. Cribiu, Y. Zhang, D. Gallagher, R. Rullo, L.B. Madsen, M. Zanotti, L. Krejci, L. Molteni, M. Van Poucke, L. Harman, J.W. Keele, M.M. Binns, C. Genêt, J.N. Derr, J. Schein, B. Backofen, S. Peto, G. Guérin, Donald Miller, F.A. Ponce de León, R. Voß-Nemitz, S. Kiuchi, J.A.M. Graves, S. Cirera, Thomas Faraut, C. Garcia, P.J. de Jong, A.L. Gustafson, O.A. Ryder, W.-S. Liu, R. Stephens, J. Rubes, A. Crisà, S. Braglia, T.L. Lear, C.B. Jørgensen, M.V. Arruga, M.F. Rothschild, H. Uenishi, N.P. Carter, O. Ryder, J.A. Price, N. Iannuccelli, Samodha C. Fernando, C. Baiocco, M. Dunø, K. Benke, L.M. Daniels, J.R. Mickelson, A. Valentini, K.M. Reed, K.E. Murphy, B. Benkel, O.R.P. Bininda-Emonds, G. Brown, H.H. Cheng, D. Milenkovic, B. Koop, B. Brenig, Doris M. Kupfer, S. So, L. Iannuzzi, V. Fillon, Y. Chen, A.T.V. Pillai, M.L. Cox, C.W. Beattie, M.L. Houck, N.E. Raney, C. Drögemüller, N. Bosak, Jillian F. Maddox, L. Fontanesi, T.L. Ward, L.D. Chaves, B.P. Chowdhary, L. Alexander, H.-C. Liu, R. Erlandsson, L. Nanni Costa, C.A. Gill, M. Mattheeuws, T. Bønsdorff, N. Rogalska-Niznik, R. Agarwala, M. Schmid, B. Lama, K.A. Greer, A. Van Zeveren, Y. Meng, G. Rohrer, M. Yerle, J.E. Fulton, M. Breen, L.J. Peelman, C. Li, H. Yasue, B. Fu, H.P. Klinger, R.P.M.A. Crooijmans, V. Cantegrel, E. Bailey, T. Veenendaal, S. Mikawa, V.D. Rilington, S. Marklund, M.C. Savarese, S. Mashima, B.J. Ostroski, I. Szczerbal, H. Fiegler, A.H. Petersen, A. Vignal, D.E. Harry, K. Osoegawa, J. Klukowska, H. Hiraiwa, L. Chemnick, L. Schibler, J. Aldenhoven, A. Jaadar, B.W. Kirkpatrick, C. Hansen, V.A. David, M. Longeri, S.I. Anderson, F. Kasai, E. Scotti, S.S. Moore, G. Bongioni, D. Incarnato, S.J. Valberg, A. Eggen, I.R. Franklin, T. Zharkikh, J. Quackenbush, L.D. Lieto, M. Gautier, C. Marchitelli, Bruce A. Roe, E. Cribiu, K.M. Credille, E.J. Cargill, R. Middleton, M .A.M. Groenen, Y. Palti, O. Rezacova, N. Ramlachan, W. Zimmermann, R. Fries, Terje Raudsepp, J.-T. Jeon, C.W. Ernst, E.A. Ostrander, F. Martins-Wess, Udaya DeSilva, L. Andersson, C.E. Rexroad, A. Winter, C.M. Seabury, Y. Lee, M.N. Romanov, V.H. Nielsen, W. Rens, R.D. Schnabel, M.E. Delany, K. Hemmatian, R. Guyon, S.E. Swanberg, M. van Eckeveld, C. Schelling, B.S.D. Urquhart, A. Galli, P.J. Venta, J.F. Taylor, S. Cornelissen, J.B. Dodgson, K.L. Tsai, K. Sandberg, L. Ferretti, G.P. Di Meo, Rebecca L. Tallmadge, Bhanu P. Chowdhary, W. Bridge, C.R. Farber, C. Penado, Alan Archibald, D. Milan, R. Davoli, T.J. Robinson, H. Fairclough, P.C.M. O’Brien, M. Switonski, F. Galibert, T. Leeb, S.J. O’Brien, T. Hayashi, F.A. Habermann, A. Perucatti, Fares Z. Najar, T. Lear, C. Bendixen, Douglas F. Antczak, B. Thomsen, L. Buttazzoni, J. Aerts, J.E. Swinburne, R. Thomas, X. Guo, S.A. Gahr, M. Fredholm, P.H. Nissen, A. Robic, I. Edfors-Lilja, S. Karamycheva, G. Dolf, L.A. Clark, Y. Lahbib-Mansais, L. Skow, Noelle E. Cockett, G.Q. Fitch, and A.T. Bowling

Subjects
Botany, Genetics, Biology, Molecular Biology, Genetics (clinical)
Published
2003
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4. Subject Index Vol. 102, 2003

Author

P.H. Nissen, I. Edfors-Lilja, J. Aerts, R. Thomas, X. Guo, M.A. Ferguson-Smith, L. Molteni, M. Fredholm, B. Koop, P.J. Venta, H. Bird, J.N. Derr, T. Zharkikh, J. Quackenbush, M. Marra, R.W. Dunstan, H.A. Lewin, G. Pielberg, L. Chemnick, L.A. Clark, Y. Lahbib-Mansais, N. Ramlachan, Noelle E. Cockett, A. Fu, H. Hayes, G.Q. Fitch, H. Fiegler, A.T. Bowling, E.P. Cribiu, D. Gallagher, R. Rullo, B. Backofen, J.-T. Jeon, C.W. Ernst, H.P. Klinger, R.P.M.A. Crooijmans, H. Yasue, J.L. Williams, V.D. Rilington, B. Fu, G. Rohrer, H.B. Park, V.A. David, F. Kasai, D.E. Harry, M. Zanotti, V. Amarger, R. Fries, Terje Raudsepp, V. Russo, D. Incarnato, Loren C. Skow, I.R. Franklin, C. Marchitelli, S. Cirera, S.S. Moore, M.C. Savarese, K. Sandberg, S. Kubickova, J.F. Taylor, S. Cornelissen, L. Krejci, B.J. Ostroski, A.A. Schäffer, Thomas Faraut, K. Osoegawa, J. Klukowska, M. Gautier, C. Elduque, S. Mikawa, S. Marklund, Samodha C. Fernando, G. Guérin, Donald Miller, F.A. Ponce de León, A. Jaadar, F. Martins-Wess, C.E. Rexroad, Udaya DeSilva, L. Ferretti, K.L. Tsai, L.B. Madsen, E. Bailey, J. Schläpfer, E.A. Ostrander, G.P. Di Meo, J. van der Poel, Bruce A. Roe, J.L. Myka, E. Scotti, H.H. Cheng, E.G. Cothran, G. Bongioni, L. Andersson, A. Winter, M.E. Delany, W.J. Murphy, D. Zudova, T.L. Ward, C. Baiocco, A. Crisà, Rebecca L. Tallmadge, W. Rens, J. Aldenhoven, Bhanu P. Chowdhary, K.E. Murphy, M.F. Rothschild, R.D. Schnabel, M.L. Cox, J.R. Mickelson, A. Valentini, M. Niikura, V. Fillon, M.V. Arruga, C.M. Seabury, M. van Eckeveld, C. Schelling, C. Genêt, J.W. Keele, B.W. Kirkpatrick, M. Schmid, E. Cribiu, C.R. Farber, C. Li, N. Rogalska-Niznik, Y. Chen, J.A. Price, C. Drögemüller, O.R.P. Bininda-Emonds, L.D. Chaves, M.L. Houck, N.E. Raney, C. Penado, K.M. Credille, Alan Archibald, B. Lama, S.J. Valberg, O. Rezacova, B.S.D. Urquhart, A. Eggen, M. Van Poucke, J.A.M. Graves, L. Iannuzzi, K. Benke, L.M. Daniels, B.P. Chowdhary, G. Brown, M. Yerle, Y. Da, F. Yang, S. Braglia, B. Brenig, M .A.M. Groenen, D. Milenkovic, I. Szczerbal, M. Mattheeuws, A.H. Petersen, Jillian F. Maddox, B. van Hest, W. Zimmermann, J.R. Garbe, R. Stephens, J. Rubes, Y. Lee, J. Schein, L. Alexander, H.-C. Liu, M.N. Romanov, M.M. Binns, M. Dunø, P.J. de Jong, A.L. Gustafson, S. Kiuchi, S.E. Swanberg, Y. Palti, B. Benkel, A. Van Zeveren, Y. Meng, C.B. Jørgensen, A. Galli, K.M. Reed, H. Uenishi, N.P. Carter, V.H. Nielsen, J.B. Dodgson, A.T.V. Pillai, C.W. Beattie, K. Hemmatian, R. Guyon, J.E. Fulton, N. Bosak, R. Erlandsson, A. Vignal, C. Moran, J. Womack, K. Jacobs, O. Ryder, Doris M. Kupfer, S. So, David L. Adelson, Y. Zhang, L. Harman, R. Voß-Nemitz, C. Garcia, K.A. Greer, L.J. Peelman, V. Cantegrel, T. Veenendaal, M. Longeri, S.I. Anderson, A. Robic, S. Karamycheva, R. Middleton, B. Thomsen, N. Iannuccelli, L. Buttazzoni, J.E. Swinburne, L. Fontanesi, L. Nanni Costa, C.A. Gill, H. Hiraiwa, S.A. Gahr, G. Dolf, S. Peto, L. Skow, T.L. Lear, L.D. Lieto, M. Breen, E.J. Cargill, T. Bønsdorff, R. Agarwala, M. Menotti-Raymond, N. Yasinetskaya, P. Chardon, W.-S. Liu, O.A. Ryder, S. Mashima, L. Schibler, C. Hansen, Douglas F. Antczak, S.J. O’Brien, T. Hayashi, F.A. Habermann, A. Perucatti, Fares Z. Najar, T. Lear, C. Bendixen, W. Bridge, D. Milan, R. Davoli, T.J. Robinson, H. Fairclough, P.C.M. O’Brien, M. Switonski, F. Galibert, and T. Leeb

Subjects
Index (economics), Statistics, Genetics, Subject (documents), Biology, Molecular Biology, Genetics (clinical)
Published
2003
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5. Detection of QTL controlling metabolism, meat quality, and liver quality traits of the overfed interspecific hybrid mule duck

Author

M, Kileh-Wais, J M, Elsen, A, Vignal, K, Feves, F, Vignoles, X, Fernandez, H, Manse, S, Davail, J M, André, D, Bastianelli, L, Bonnal, O, Filangi, E, Baéza, D, Guéméné, C, Genêt, M D, Bernadet, F, Dubos, and C, Marie-Etancelin

Subjects
Male, Meat, Genotype, Genetic Linkage, Quantitative Trait Loci, Animal Feed, Diet, Ducks, Sex Factors, Liver, Animals, Female, Animal Husbandry, Crosses, Genetic, Microsatellite Repeats
Abstract

The mule duck, an interspecific hybrid obtained by crossing common duck (Anas platyrhynchos) females with Muscovy (Cairina moschata) drakes, is widely used for fatty liver production. The purpose of the present study was to detect and map single and pleiotropic QTL that segregate in the common duck species, and influence the expression of traits in their overfed mule duck offspring. To this end, we generated a common duck backcross (BC) population by crossing Kaiya and heavy Pekin experimental lines, which differ notably in regard to the BW and overfeeding ability of their mule progeny. The BC females were mated to Muscovy drakes and, on average, 4 male mule ducks hatched per BC female (1600 in total) and were measured for growth, metabolism during growth and the overfeeding period, overfeeding ability, and the quality of their breast meat and fatty liver. The phenotypic value of BC females was estimated for each trait by assigning to each female the mean value of the phenotypes of her offspring. Estimations allowed for variance, which depended on the number of male offspring per BC and the heritability of the trait considered. The genetic map used for QTL detection consisted of 91 microsatellite markers aggregated into 16 linkage groups (LG) covering a total of 778 cM. Twenty-two QTL were found to be significant at the 1% chromosome-wide threshold level using the single-trait detection option of the QTLMap software. Most of the QTL detected were related to the quality of breast meat and fatty liver: QTL for meat pH 20 min post mortem were mapped to LG4 (at the 1% genome-wide significance level), and QTL for meat lipid content and cooking losses were mapped to LG2a. The QTL related to fatty liver weight and liver protein and lipid content were for the most part detected on LG2c and LG9. Multitrait analysis highlighted the pleiotropic effects of QTL in these chromosome regions. Apart from the strong QTL for plasma triglyceride content at the end of the overfeeding period mapped to chromosome Z using single-trait analysis, all metabolic trait QTL were detected with the multitrait approach: the QTL mapped to LG14 and LG21 affected the plasma cholesterol and triglyceride contents, whereas the QTL mapped to LG2a seemed to impact glycemia and the basal plasma corticosterone content. A greater density genetic map will be needed to further fine map the QTL.

Published
2012

6. Contents Vol. 93, 2001

Author

T. Brueckmann, W. Brenner, M. Steinemann, W. Vogel, S. Schlaubitz, C. Zühlke, M. Lombard, F. Boán, K. Benirschke, S. Naumann, S.W. Bremer, C. Steinlein, S. Steinemann, F. Richard, P.D. Thomsen, M. Yerle, K.D. Zang, Z. Docherty, C. Amid, K. Mrasek, I. Schubert, M. Mende, I. Nanda, T. Paiss, C. Genêt, L.J. Peelman, I. Chudoba, M. Hughes, R.-D. Wegner, U. Claussen, L. Sánchez, B. Seipel, F. Grützner, F.J. García-Cozar, D. Prawitt, B.U. Zabel, J.L. Wright, A. Van Zeveren, K. Stout, V. Kalscheuer, M. Stumm, R.V. Rambau, N. Reissmann, D.S. Gallagher, B. Zabel, A. Ishikawa, C. Messaoudi, A.T. Kumamoto, E.C. Akeson, A. Mujica, A. Dalski, P. Kaiser, T. Liehr, J.G. Scammell, S. Bremer, C. Pfeifer, S. Munsche, M.M. Valdivia, M. Van Poucke, M. Schmid, C.M. Tuck-Muller, H. Starke, F. Domínguez, Y. Matsuda, S. Störkel, C.G. Mathew, F.F.B. Elder, S. Narayanswami, H. Scherthan, J. Decker, E. Schwinger, A. Niveleau, V. Trifonov, H. Mayrhofer, J. Gómez-Márquez, J.P. Lambert, S.-E. Bikar, E. Zend-Ajusch, L.J. Bechtel, T. Haaf, Y.A. Wang, A. Viñas, C. Iglesias, C. Mackie Ogilvie, A. Bahr, T. Nagase, A. Dufke, H.H.Q. Heng, A. Winterpacht, W. Lu, T.J. Robinson, C. Maier, K. Matsubara, A. Heller, A. Kuroiwa, M. Rocchi, B. Dutrillaux, C.J. Ye, N. Nomura, N. Rubtsov, E.R. Schmidt, T. Namikawa, M.T. Davisson, C. Tuggle, K. Gardiner, H. Enders, G. Liu, M. Buceta, H. Hanson, H. Hauser, N. Sampson, H. Neitzel, P.D. Waters, T. Hankeln, H. Tönnies, C. Pendón, J. Bolívar, M.L. Houck, D. Reutzel, M. Leipoldt, A. Cichutek, P. Moens, J.A.M. Graves, P.J. Kirby, B. Maurer, A. Astola, S.A. Krawetz, and F. Piumi

Subjects
Botany, Genetics, Biology, Molecular Biology, Genetics (clinical)
Published
2001
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7. Development of a gene-based radiation hybrid map of chicken Chromosome 7 and comparison to human and mouse

Author

Thomas Faraut, Denis Milan, Mireille Morisson, Frédérique Pitel, Katia Feve, Suzanne Bardes, Alain Vignal, Carine Jiguet-Jiglaire, C Genêt, Sophie Leroux, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and ProdInra, Migration

Subjects
Genetic Markers, Male, Genetic Linkage, [SDV]Life Sciences [q-bio], Biology, GENE LOCALIZATION, Genome, Polymerase Chain Reaction, Chromosomes, 03 medical and health sciences, Mice, HYBRIDES D'IRRADIATION, Cricetinae, Genetics, Animals, Humans, Gene, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Chromosome 7 (human), COMPARATIVE MAPPING, Expressed Sequence Tags, 0303 health sciences, Expressed sequence tag, Radiation Hybrid Mapping, 030305 genetics & heredity, DNA, Human genetics, RADIATION HYBRIDS, [SDV] Life Sciences [q-bio], LOCALISATION DE GENES, Microsatellite, Chickens, Microsatellite Repeats
Abstract

To validate the ChickRH6 whole-genome radiation hybrid (WGRH) panel, we constructed a map of chicken Chromosome 7 based on 19 microsatellite markers from the genetic map and 76 ESTs (expressed sequence tags), whose efficient targeted development was made possible by using the ICCARE software. This high-density radiation hybrid (RH) map of a chicken macrochromosome gives us indications on characteristics of ChickRH6. The potential resolution of the panel is 325 kb and the practical resolution of our framework map is 1.3 Mb. Based on these results, a complete framework map of the chicken genome would comprise 1000 markers. The marker order is in good agreement with the genetic map and comparison with the human and mouse sequence maps revealed a number of internal rearrangements.

Published
2004

8. A refined comparative map between porcine chromosome 13 and human chromosome 3

Author

M. Van Poucke, Marc Mattheeuws, K. Jacobs, Martine Yerle, Luc Peelman, A. Van Zeveren, C Genêt, Patrick Chardon, Laboratoire de radiobiologie et d'étude du génome (LREG), and Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
Chromosomes, Artificial, Bacterial, Genetic Linkage, Swine, [SDV]Life Sciences [q-bio], Molecular Sequence Data, Biology, Polymerase Chain Reaction, Chromosomes, 03 medical and health sciences, Gene mapping, Gene Order, Genetics, Animals, Humans, COMPARATIVE GENETICS, Genomic library, PIGS, Molecular Biology, In Situ Hybridization, Fluorescence, Metaphase, Genetics (clinical), Gene Library, 030304 developmental biology, Synteny, Chromosome 13, Radiation Hybrid Mapping, 0303 health sciences, Bacterial artificial chromosome, 030305 genetics & heredity, MEN, Physical Chromosome Mapping, Molecular biology, PIG CHROMOSOME 13, Chromosome 3, Cytogenetic Analysis, Microsatellite, Human genome, Chromosomes, Human, Pair 3, CHROMOSOME PORCIN 13, Microsatellite Repeats
Abstract

We report here the localisation of BAIAP1 (13q24), HTR1F (13q45), PTPRG (13q23) and UBE1C (13q24) by fluorescence in situ hybridisation (FISH), and BAIAP1 (Swr2114; 21 cR; LOD = 11.03), GATA2 (Sw2448; 37 cR; LOD = 8.26), IL5RA (Swr2114; 64 cR; LOD = 3.85), LMCD1 (Sw2450; 61 cR; LOD = 4.73), MME (CP; 50 cR; LOD = 7.75), RYK (Swc22; 12 cR; LOD = 18.62) and SGU003 (Sw1876; 6 cR; LOD = 16.99) by radiation hybrid (RH) mapping to porcine chromosome 13 (SSC13). The mapping of these 10 different loci (all mapped to human chromosome 3; HSA3) not only confirms the extended conservation of synteny between HSA3 and SSC13, but also defines more precisely the regions with conserved linkage. The syntenic region of the centromeric part of SSC13 was determined by isolating porcine bacterial artificial chromosome (BAC) clones (842D4 and 1031H1) using primers amplifying porcine microsatellite markers S0219 and S0076 (mapped to this region). Sequence comparison of the BAC end sequences with the human genome sequence showed that the centromeric part of SSC13 is homologous with HSA3p24.

Published
2003

9. Radiation hybrid comparative mapping between human chromosome 17 and porcine chromosome 12 demonstrates conservation of gene order

Author

X W, Shi, C J, Fitzsimmons, C, Genêt, R, Prather, K, Whitworth, J A, Green, and C K, Tuggle

Subjects
Expressed Sequence Tags, Radiation Hybrid Mapping, Base Sequence, Swine, Molecular Sequence Data, Animals, Chromosome Mapping, Humans, Nucleic Acid Hybridization, Sequence Analysis, DNA, Polymerase Chain Reaction, Chromosomes, Human, Pair 17
Abstract

A comparative study of human chromosome 17 (HSA17) and pig chromosome 12 (SSC12) was conducted using both somatic cell hybrid panel (SCHP) and radiation hybrid (RH) panel analysis. Sequences from an expressed sequence tag (EST) project in pig reproduction were examined and six genes and ESTs originally believed to map to HSA17 were selected for this study. The genes/ESTs were TATA box binding protein-associated factor (TAF2N/RBP56), alpha-2-plasmin inhibitor (SERPINF2/PLI), H3 histone family 3B (H3F3B), aminopeptidase puromycin sensitive (NPEPPS), an expressed sequence tag (ESTMI015) and P311 protein (P311). The SCHP analysis mapped five genes/ESTs (TAF2N, H3F3B, SERPINF2, NPEPPS and ESTMI015) to SSC12q11-q15 and SSC12p11-p15 with 100% concordance, and assigned P311 to SSC2 (1/2q24)-q29 with 100% concordance. Radiation hybrid analysis of all six genes confirmed the SCHP mapping results, with average retention frequency of 25%. Recent human sequence data demonstrated that P311 is actually located on HSA5q. As HSA5q and SSC2q show conserved syntenic regions predicted from bi-directional painting, our P311 mapping data is consistent with these results. An expanded comparative SSC12 RH map integrating the five new type I markers and 23 previously mapped loci was established using a LOD score threshold of 4.8. The gene order of the five genes/ESTs on the SSC12 framework RH map (H3F3B-ESTMI015-NPEPPS-TAF2N-SERPINF2) is identical to the HSA17 GB4 map but with inversion of the map as conventionally drawn.

Published
2001

10. Integration of porcine chromosome 13 maps

Author

Christopher K. Tuggle, M. Van Poucke, Luc Peelman, A. Van Zeveren, Martine Yerle, François Piumi, C Genêt, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), and Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
Chromosomes, Artificial, Bacterial, Swine, [SDV]Life Sciences [q-bio], Molecular Sequence Data, Biology, Polymerase Chain Reaction, 03 medical and health sciences, Gene mapping, CHROMOSOMES, Genetics, Animals, Humans, PIGS, Cloning, Molecular, Molecular Biology, Gene, In Situ Hybridization, Fluorescence, Genetics (clinical), 030304 developmental biology, Chromosome 13, Radiation Hybrid Mapping, 0303 health sciences, 030302 biochemistry & molecular biology, Physical Chromosome Mapping, Genes, Chromosome 3, GENETIC MAPS, In situ hybridisation, %22">Fish , Lod Score, human activities
Abstract

In order to expand the comparative map between human chromosome 3 (HSA3) and porcine chromosome 13 (SSC13), seven genes from HSA3 were mapped on SSC13 by fluorescence in situ hybridisation (FISH), viz. ACAA1, ACPP, B4GALT4, LTF, MYLK, PDHB and RARB. With a view to integrating this expanded comparative map with the existing SSC13 linkage map, we used the INRA-University of Minnesota porcine Radiation Hybrid panel (IMpRH) to localize more precisely and to order 15 genes on the SSC13 map, viz. ACPP, ADCY5, APOD, BCHE, CD86, DRD3, GAP43, PCCB, RAF1, RHO, SI, TF, TFRC, TOP2B and ZNF148. In this way, we were able to create an integrated map, containing 38 type I and 81 type II markers, by correlating the linkage, radiation hybrid (RH) and cytogenetic maps of SSC13. This integrated map will give us the opportunity to take maximal advantage of the comparative mapping strategy for positional candidate cloning of genes responsible for economically important traits.

Published
2001

11. In the QTL region surrounding porcine MHC, gene order is conserved with human genome

Author

Denis Milan, Joël Gellin, Claire Rogel-Gaillard, Cédric Cabau, C Genêt, Christine Renard, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and ProdInra, Migration

Subjects
Genetic Markers, pig, Candidate gene, DNA, Complementary, Swine, [SDV]Life Sciences [q-bio], Molecular Sequence Data, men, Quantitative trait locus, Biology, Major histocompatibility complex, système mhc, Genome, Major Histocompatibility Complex, 03 medical and health sciences, Quantitative Trait, Heritable, 0302 clinical medicine, Antigen, Genetics, Animals, Humans, genetic map, Gene, Conserved Sequence, 030304 developmental biology, 0303 health sciences, Base Sequence, Chromosome Mapping, Human genetics, comparative genetic, [SDV] Life Sciences [q-bio], 030220 oncology & carcinogenesis, biology.protein, Human genome, mhc complex
Abstract

On the porcine genome, the region surrounding the Major Histocompatibility Complex, also called Swine Leukocyte Antigens (SLA), is of particular interest not only owing to itq role in the control of immune response, but also because of its influence on many traits such as growth, fatness, and meat quality. To help in the identification of responsible genes, detailed comparative maps of the MHC region in mammalian species and powerful mapping tools allowing accurate ordering of genes and markers in this region are needed. In this report, we describe the use of the recently developed IMpRH radiation hybrid panel, to construct a higher density radiation hybrid map of swine Sscr 7p-q12, containing 23 additional loci. Our results show that the gene order is conserved between the two MHC-containing regions, even if an inversion is observed above the QTL region in the region containing DEK, SCA1, and EDN1 genes. The framework map produced shows that the IMpRH panel permits the ordering of genes and markers in the three MHC classes and would thus allow accurate localization of ESTs and candidate genes.

Published
2001

12. IMpRH server: an RH mapping server available on the Web

Author

Martine Yerle, Denis Milan, François Hatey, Cédric Cabau, Sophie Leroux, Joël Gellin, Lee Alexander, Yvette Lahbib, Rachel J. Hawken, Annie Robic, Lawrence B. Schook, Craig W. Beattie, Gwenola Tosser, C Genêt, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
Statistics and Probability, Genetic Markers, Databases, Factual, Computer science, Swine, Hybrid Cells, CARTOGRAPHIE GENETIQUE, computer.software_genre, Biochemistry, World Wide Web, 03 medical and health sciences, Animals, Molecular Biology, 030304 developmental biology, 0303 health sciences, Internet, Database, 0402 animal and dairy science, Chromosome Mapping, Computational Biology, 04 agricultural and veterinary sciences, BASE DE DONNEES, 040201 dairy & animal science, Computer Science Applications, WEB, Computational Mathematics, Computational Theory and Mathematics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], computer
Abstract

Summary: The INRA-Minnesota Porcine Radiation Hybrid (IMpRH) Server provides both a mapping tool (IMpRH mapping tool) and a database (IMpRH database) of officially submitted results. The mapping tool permits the mapping of a new marker relatively to markers previously mapped on the IMpRH panel. The IMpRH database is the official database for submission of new results and queries. The database not only permits the sharing of public data but also semi-private and private data. Availability: http://imprh.toulouse.inra.fr Contact: milan@toulouse.inra.fr Supplementary Information: Details can be found at http://www.toulouse.inra.fr/lgc/pig/RH/help/help.htm

Published
2000

14. Subject Index Vol. 93, 2001

Author

N. Sampson, W. Lu, H. Neitzel, P.D. Waters, T. Brueckmann, W. Brenner, C. Mackie Ogilvie, A. Heller, H. Tönnies, B. Dutrillaux, M. Steinemann, C. Pendón, J. Bolívar, R.-D. Wegner, M. Lombard, C.J. Ye, A. Ishikawa, E. Zend-Ajusch, T. Nagase, Y.A. Wang, F. Richard, A. Kuroiwa, N. Rubtsov, E.R. Schmidt, C. Tuggle, C. Genêt, K. Gardiner, H. Enders, B. Zabel, A. Van Zeveren, M. Rocchi, H. Scherthan, A. Dalski, R.V. Rambau, J.P. Lambert, K. Stout, A. Dufke, B. Seipel, F.F.B. Elder, J.L. Wright, T. Namikawa, H. Hauser, E. Schwinger, M. Buceta, C. Pfeifer, S. Narayanswami, A.T. Kumamoto, H. Starke, V. Kalscheuer, J.G. Scammell, M. Stumm, K. Matsubara, V. Trifonov, C. Amid, K. Mrasek, G. Liu, A. Bahr, T. Haaf, A. Viñas, C. Iglesias, Z. Docherty, H. Mayrhofer, P. Kaiser, S.-E. Bikar, I. Chudoba, C.M. Tuck-Muller, J. Decker, L.J. Bechtel, H.H.Q. Heng, A. Winterpacht, M.M. Valdivia, C. Messaoudi, D. Reutzel, M. Van Poucke, C. Steinlein, S. Störkel, U. Claussen, T.J. Robinson, J.A.M. Graves, A. Niveleau, F. Grützner, A. Mujica, N. Nomura, W. Vogel, S. Naumann, M. Hughes, E.C. Akeson, S. Steinemann, I. Nanda, S. Bremer, S. Munsche, S.W. Bremer, P.D. Thomsen, F.J. García-Cozar, D. Prawitt, B.U. Zabel, B. Maurer, A. Astola, T. Liehr, F. Domínguez, M.T. Davisson, H. Hanson, T. Hankeln, L.J. Peelman, M.L. Houck, N. Reissmann, Y. Matsuda, J. Gómez-Márquez, M. Leipoldt, A. Cichutek, K.D. Zang, P. Moens, T. Paiss, D.S. Gallagher, M. Schmid, C.G. Mathew, S.A. Krawetz, F. Piumi, S. Schlaubitz, C. Zühlke, F. Boán, K. Benirschke, M. Yerle, I. Schubert, M. Mende, P.J. Kirby, L. Sánchez, and C. Maier

Subjects
Genetics, Index (economics), Subject (documents), Social science, Biology, Molecular Biology, Genetics (clinical)
Published
2001
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15. New Anti-Müllerian Hormone Target Genes Involved in Granulosa Cell Survival in Women With Polycystic Ovary Syndrome.

Author

Racine C, Genêt C, Bourgneuf C, Dupont C, Plisson-Petit F, Sarry J, Hennequet-Antier C, Vigouroux C, Mathieu d'Argent E, Pierre A, Monniaux D, Fabre S, and di Clemente N

Subjects
Adult, Animals, Anti-Mullerian Hormone metabolism, Case-Control Studies, Cell Proliferation drug effects, Cell Proliferation genetics, Cell Survival drug effects, Cell Survival genetics, Cells, Cultured, Female, Gene Expression Regulation drug effects, Granulosa Cells pathology, Granulosa Cells physiology, Humans, Mice, Mice, Inbred C57BL, Mice, Transgenic, Polycystic Ovary Syndrome genetics, Polycystic Ovary Syndrome metabolism, Anti-Mullerian Hormone pharmacology, Apoptosis drug effects, Apoptosis genetics, Granulosa Cells drug effects, Polycystic Ovary Syndrome pathology
Abstract

Purpose: A protective effect of anti-Müllerian hormone (AMH) on follicle atresia was recently demonstrated using long-term treatments, but this effect has never been supported by mechanistic studies. This work aimed to gain an insight into the mechanism of action of AMH on follicle atresia and on how this could account for the increased follicle pool observed in women with polycystic ovary syndrome (PCOS)., Methods: In vivo and in vitro experiments were performed to study the effects of AMH on follicle atresia and on the proliferation and apoptosis of granulosa cells (GCs). RNA-sequencing was carried out to identify new AMH target genes in GCs. The expression of some of these genes in GCs from control and PCOS women was compared using microfluidic real time quantitative RT-PCR., Results: A short-term AMH treatment prevented follicle atresia in prepubertal mice. Consistent with this result, AMH inhibited apoptosis and promoted proliferation of different models of GCs. Moreover, integrative biology analyses of 965 AMH target genes identified in 1 of these GC models, confirmed that AMH had initiated a gene expression program favoring cell survival and proliferation. Finally, on 43 genes selected among the most up- and down-regulated AMH targets, 8 were up-regulated in GCs isolated from PCOS women, of which 5 are involved in cell survival., Main Conclusions: Our results provide for the first time cellular and molecular evidence that AMH protects follicles from atresia by controlling GC survival and suggest that AMH could participate in the increased follicle pool of PCOS patients., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2021
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16. Prenatal programming by testosterone of follicular theca cell functions in ovary.

Author

Monniaux D, Genêt C, Maillard V, Jarrier P, Adriaensen H, Hennequet-Antier C, Lainé AL, Laclie C, Papillier P, Plisson-Petit F, Estienne A, Cognié J, di Clemente N, Dalbies-Tran R, and Fabre S

Subjects
Animals, Cells, Cultured, Female, Gene Expression Regulation, Gene Regulatory Networks, Humans, Ovarian Follicle cytology, Ovarian Follicle growth & development, Ovarian Follicle metabolism, Polycystic Ovary Syndrome genetics, Pregnancy, Prenatal Exposure Delayed Effects genetics, Sheep, Theca Cells cytology, Theca Cells ultrastructure, Polycystic Ovary Syndrome metabolism, Prenatal Exposure Delayed Effects metabolism, Testosterone metabolism, Theca Cells metabolism
Abstract

In mammalian ovaries, the theca layers of growing follicles are critical for maintaining their structural integrity and supporting androgen synthesis. Through combining the postnatal monitoring of ovaries by abdominal magnetic resonance imaging, endocrine profiling, hormonal analysis of the follicular fluid of growing follicles, and transcriptomic analysis of follicular theca cells, we provide evidence that the exposure of ovine fetuses to testosterone excess activates postnatal follicular growth and strongly affects the functions of follicular theca in adulthood. Prenatal exposure to testosterone impaired androgen synthesis in the small antral follicles of adults and affected the expression in their theca cells of a wide array of genes encoding extracellular matrix components, their membrane receptors, and signaling pathways. Most expression changes were uncorrelated with the concentrations of gonadotropins, steroids, and anti-Müllerian hormone in the recent hormonal environment of theca cells, suggesting that these changes rather result from the long-term developmental effects of testosterone on theca cell precursors in fetal ovaries. Disruptions of the extracellular matrix structure and signaling in the follicular theca and ovarian cortex can explain the acceleration of follicle growth through altering the stiffness of ovarian tissue. We propose that these mechanisms participate in the etiology of the polycystic ovarian syndrome, a major reproductive pathology in woman.

Published
2020
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17. Transcriptome analysis of ovine granulosa cells reveals differences between small antral follicles collected during the follicular and luteal phases.

Author

Talebi R, Ahmadi A, Afraz F, Sarry J, Plisson-Petit F, Genêt C, and Fabre S

Subjects
Animals, Female, Gene Expression Regulation, RNA, Messenger, Sequence Analysis, RNA, Sheep genetics, Follicular Phase physiology, Granulosa Cells metabolism, Luteal Phase physiology, Sheep metabolism, Transcriptome genetics
Abstract

Ovarian follicular growth occurs in both the follicular and luteal phases of the estrous cycle but in very different endocrine contexts. In both phases, many small antral follicles with similar morphologic and histologic characteristics are present within the ovaries as a reserve for the terminal folliculogenesis. However, there are several gaps in our molecular knowledge of the gene expression profiles of small antral follicles in the follicular and luteal phases. The aim of the present study was to use RNA sequencing to compare and analyze the global transcriptional profile of ovine granulosa cells collected from small antral follicles (1-3 mm) either during the follicular or the luteal phase of the estrous cycle, with the hypothesis that they should be differential. We identified 663 genes whose mRNA was differentially expressed or accumulated in the granulosa cell layer of small antral follicles in the two phases. A comprehensive interpretation of these data was performed through integrative analyses (Gene Ontology, Ingenuity Pathway Analysis) and the exploitation of already available transcriptomic data on follicular growth and atresia. In particular, we observed that the contrasted endocrine context between follicular and luteal phases may have an impact on estradiol, follicle-stimulating hormone (FSH), and on the activin/inhibin signaling pathways. Furthermore, we reveal the possible initiation of early follicular atresia in small antral follicles during the follicular phase in interaction with the presence of immune cells. This study provides new insights into the gene expression profile in ovine granulosa cells, and we suggest that these molecular changes may have an implication at the time of follicle selection., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Published
2018
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18. The rainbow trout genome provides novel insights into evolution after whole-genome duplication in vertebrates.

Author

Berthelot C, Brunet F, Chalopin D, Juanchich A, Bernard M, Noël B, Bento P, Da Silva C, Labadie K, Alberti A, Aury JM, Louis A, Dehais P, Bardou P, Montfort J, Klopp C, Cabau C, Gaspin C, Thorgaard GH, Boussaha M, Quillet E, Guyomard R, Galiana D, Bobe J, Volff JN, Genêt C, Wincker P, Jaillon O, Roest Crollius H, and Guiguen Y

Subjects
Animals, Gene Duplication genetics, Evolution, Molecular, Oncorhynchus mykiss genetics, Vertebrates genetics
Abstract

Vertebrate evolution has been shaped by several rounds of whole-genome duplications (WGDs) that are often suggested to be associated with adaptive radiations and evolutionary innovations. Due to an additional round of WGD, the rainbow trout genome offers a unique opportunity to investigate the early evolutionary fate of a duplicated vertebrate genome. Here we show that after 100 million years of evolution the two ancestral subgenomes have remained extremely collinear, despite the loss of half of the duplicated protein-coding genes, mostly through pseudogenization. In striking contrast is the fate of miRNA genes that have almost all been retained as duplicated copies. The slow and stepwise rediploidization process characterized here challenges the current hypothesis that WGD is followed by massive and rapid genomic reorganizations and gene deletions.

Published
2014
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19. Retinoic acid activates myogenesis in vivo through Fgf8 signalling.

Author

Hamade A, Deries M, Begemann G, Bally-Cuif L, Genêt C, Sabatier F, Bonnieu A, and Cousin X

Subjects
Animals, Embryo, Nonmammalian drug effects, Fibroblast Growth Factor 8 genetics, Gene Expression Regulation, Developmental, MyoD Protein analysis, MyoD Protein metabolism, Protein Biosynthesis, Signal Transduction, Somites chemistry, Somites metabolism, Tretinoin pharmacology, Zebrafish Proteins genetics, Fibroblast Growth Factor 8 physiology, Muscle Development genetics, Tretinoin physiology, Zebrafish embryology, Zebrafish Proteins physiology
Abstract

Retinoic acid (RA) has been shown to regulate muscle differentiation in vitro. Here, we have investigated the role of RA signalling during embryonic myogenesis in zebrafish. We have altered RA signalling from gastrulation stages onwards by either inhibiting endogenous RA synthesis using an inhibitor of retinaldehyde dehydrogenases (DEAB) or by addition of exogenous RA. DEAB reduces expression of the myogenic markers myoD and myogenin in somites, whereas RA induces increased expression of these genes and strongly induces premature myoD expression in the presomitic mesoderm (psm). The expression dynamics of myf5 in presomitic and somitic mesoderm suggest that RA promotes muscle differentiation, a role supported by the fact that RA activates expression of fast myosin, while DEAB represses it. We identify Fgf8 as a major relay factor in RA-mediated activation of myogenesis. We show that fgf8 expression in somites and anterior psm is regulated by RA, and find that in the absence of Fgf8 signalling in the acerebellar mutant RA fails to promote myoD expression. We propose that, in the developing embryo, localised synthesis of RA by Raldh2 in the anterior psm and in somites activates fgf8 expression which in turn induces the expression of myogenic genes and fast muscle differentiation.

Published
2006
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20. A refined comparative map between porcine chromosome 13 and human chromosome 3.

Author

Van Poucke M, Yerle M, Chardon P, Jacobs K, Genêt C, Mattheeuws M, Van Zeveren A, and Peelman LJ

Subjects
Animals, Chromosomes, Artificial, Bacterial genetics, Cytogenetic Analysis methods, Cytogenetic Analysis veterinary, Gene Library, Gene Order genetics, Genetic Linkage genetics, Humans, In Situ Hybridization, Fluorescence methods, In Situ Hybridization, Fluorescence veterinary, Metaphase genetics, Microsatellite Repeats genetics, Molecular Sequence Data, Physical Chromosome Mapping methods, Physical Chromosome Mapping veterinary, Polymerase Chain Reaction methods, Polymerase Chain Reaction veterinary, Radiation Hybrid Mapping methods, Radiation Hybrid Mapping veterinary, Chromosomes genetics, Chromosomes, Human, Pair 3 genetics, Swine genetics
Abstract

We report here the localisation of BAIAP1 (13q24), HTR1F (13q45), PTPRG (13q23) and UBE1C (13q24) by fluorescence in situ hybridisation (FISH), and BAIAP1 (Swr2114; 21 cR; LOD = 11.03), GATA2 (Sw2448; 37 cR; LOD = 8.26), IL5RA (Swr2114; 64 cR; LOD = 3.85), LMCD1 (Sw2450; 61 cR; LOD = 4.73), MME (CP; 50 cR; LOD = 7.75), RYK (Swc22; 12 cR; LOD = 18.62) and SGU003 (Sw1876; 6 cR; LOD = 16.99) by radiation hybrid (RH) mapping to porcine chromosome 13 (SSC13). The mapping of these 10 different loci (all mapped to human chromosome 3; HSA3) not only confirms the extended conservation of synteny between HSA3 and SSC13, but also defines more precisely the regions with conserved linkage. The syntenic region of the centromeric part of SSC13 was determined by isolating porcine bacterial artificial chromosome (BAC) clones (842D4 and 1031H1) using primers amplifying porcine microsatellite markers S0219 and S0076 (mapped to this region). Sequence comparison of the BAC end sequences with the human genome sequence showed that the centromeric part of SSC13 is homologous with HSA3p24., (Copyright 2003 S. Karger AG, Basel)

Published
2003
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21. Radiation hybrid comparative mapping between human chromosome 17 and porcine chromosome 12 demonstrates conservation of gene order.

Author

Shi XW, Fitzsimmons CJ, Genêt C, Prather R, Whitworth K, Green JA, and Tuggle CK

Subjects
Animals, Base Sequence, Expressed Sequence Tags, Humans, Molecular Sequence Data, Nucleic Acid Hybridization, Polymerase Chain Reaction veterinary, Radiation Hybrid Mapping methods, Sequence Analysis, DNA, Chromosome Mapping veterinary, Chromosomes, Human, Pair 17 genetics, Swine genetics
Abstract

A comparative study of human chromosome 17 (HSA17) and pig chromosome 12 (SSC12) was conducted using both somatic cell hybrid panel (SCHP) and radiation hybrid (RH) panel analysis. Sequences from an expressed sequence tag (EST) project in pig reproduction were examined and six genes and ESTs originally believed to map to HSA17 were selected for this study. The genes/ESTs were TATA box binding protein-associated factor (TAF2N/RBP56), alpha-2-plasmin inhibitor (SERPINF2/PLI), H3 histone family 3B (H3F3B), aminopeptidase puromycin sensitive (NPEPPS), an expressed sequence tag (ESTMI015) and P311 protein (P311). The SCHP analysis mapped five genes/ESTs (TAF2N, H3F3B, SERPINF2, NPEPPS and ESTMI015) to SSC12q11-q15 and SSC12p11-p15 with 100% concordance, and assigned P311 to SSC2 (1/2q24)-q29 with 100% concordance. Radiation hybrid analysis of all six genes confirmed the SCHP mapping results, with average retention frequency of 25%. Recent human sequence data demonstrated that P311 is actually located on HSA5q. As HSA5q and SSC2q show conserved syntenic regions predicted from bi-directional painting, our P311 mapping data is consistent with these results. An expanded comparative SSC12 RH map integrating the five new type I markers and 23 previously mapped loci was established using a LOD score threshold of 4.8. The gene order of the five genes/ESTs on the SSC12 framework RH map (H3F3B-ESTMI015-NPEPPS-TAF2N-SERPINF2) is identical to the HSA17 GB4 map but with inversion of the map as conventionally drawn.

Published
2001
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22. Cytogenetic and radiation hybrid mapping reveals conserved synteny and gene order between human chromosome 21 and pig chromosome 13.

Author

Tuggle CK, Genêt C, Shi XW, Chardon P, Sanchez-Serrano I, Cravens G, Milan D, and Yerle M

Subjects
Animals, Birth Weight genetics, Humans, Lod Score, Quantitative Trait, Heritable, Sequence Homology, Nucleic Acid, Sequence Tagged Sites, Chromosome Painting, Chromosomes, Human, Pair 21 genetics, Conserved Sequence genetics, Gene Order genetics, Radiation Hybrid Mapping, Swine genetics
Published
2001
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23. In the QTL region surrounding porcine MHC, gene order is conserved with human genome.

Author

Genêt C, Renard C, Cabau C, Rogel-Gaillard C, Gellin J, and Milan D

Subjects
Animals, Base Sequence, Chromosome Mapping, DNA, Complementary, Genetic Markers, Humans, Molecular Sequence Data, Swine, Conserved Sequence, Major Histocompatibility Complex, Quantitative Trait, Heritable
Abstract

On the porcine genome, the region surrounding the Major Histocompatibility Complex, also called Swine Leukocyte Antigens (SLA), is of particular interest not only owing to itq role in the control of immune response, but also because of its influence on many traits such as growth, fatness, and meat quality. To help in the identification of responsible genes, detailed comparative maps of the MHC region in mammalian species and powerful mapping tools allowing accurate ordering of genes and markers in this region are needed. In this report, we describe the use of the recently developed IMpRH radiation hybrid panel, to construct a higher density radiation hybrid map of swine Sscr 7p-q12, containing 23 additional loci. Our results show that the gene order is conserved between the two MHC-containing regions, even if an inversion is observed above the QTL region in the region containing DEK, SCA1, and EDN1 genes. The framework map produced shows that the IMpRH panel permits the ordering of genes and markers in the three MHC classes and would thus allow accurate localization of ESTs and candidate genes.

Published
2001
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24. Integration of porcine chromosome 13 maps.

Author

Van Poucke M, Yerle M, Tuggle C, Piumi F, Genêt C, Van Zeveren A, and Peelman LJ

Subjects
Animals, Chromosomes, Artificial, Bacterial, Cloning, Molecular, Genes, Humans, In Situ Hybridization, Fluorescence, Lod Score, Molecular Sequence Data, Polymerase Chain Reaction, Radiation Hybrid Mapping, Chromosomes genetics, Physical Chromosome Mapping, Swine genetics
Abstract

In order to expand the comparative map between human chromosome 3 (HSA3) and porcine chromosome 13 (SSC13), seven genes from HSA3 were mapped on SSC13 by fluorescence in situ hybridisation (FISH), viz. ACAA1, ACPP, B4GALT4, LTF, MYLK, PDHB and RARB. With a view to integrating this expanded comparative map with the existing SSC13 linkage map, we used the INRA-University of Minnesota porcine Radiation Hybrid panel (IMpRH) to localize more precisely and to order 15 genes on the SSC13 map, viz. ACPP, ADCY5, APOD, BCHE, CD86, DRD3, GAP43, PCCB, RAF1, RHO, SI, TF, TFRC, TOP2B and ZNF148. In this way, we were able to create an integrated map, containing 38 type I and 81 type II markers, by correlating the linkage, radiation hybrid (RH) and cytogenetic maps of SSC13. This integrated map will give us the opportunity to take maximal advantage of the comparative mapping strategy for positional candidate cloning of genes responsible for economically important traits., (Copyright 2001 S. Karger AG, Basel)

Published
2001
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