Goats are bred worldwide and present in a wide variety of production environments. Local breeds, which are well adapted to a range of agro-ecological conditions, contribute to ensuring the sustainability of livestock farming in marginal and difficult areas in both developed and developing countries. Compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization between breeds, thus they represent one of the best species for the study of genetic diversity and adaptation. The International Goat Genome Consortium (IGGC, http://www.goatgenome.org) was created in 2012 with the general goal of increasing the range of genomic tools and publicly available information for the goat. In 2013, the 50 K goat single nucleotide polymorphism (SNP) panel was developed (http://www.goatgenome.org; [3]) by combining whole-genome sequencing and reduced representation libraries from eight breeds/populations from Europe and Asia through the cooperation of the Institut National de la Recherche Agronomique (Inra) in France, Utrecht University in The Netherlands, the Malaysian Agricultural Research and Development Institute (MARDI) in Malaysia, and DNA Landmarks in Canada. Several large projects took advantage of this newly-developed SNP panel to genotype many goat populations across the world with a range of objectives and hypotheses: genome-wide association analyses across a spectrum of research and production traits, germplasm characterization and diversity studies, and genetic prediction for selection in commercial populations. The AdaptMap project started as a voluntary consortium in 2014, with the aim of improving coordination among these otherwise independent projects for genotyping, resequencing and phenotyping of goat breeds. AdaptMap was promoted by the International Goat Genome Consortium (IGGC), the African Goat Improvement Network (AGIN), which is a group resulting from the USAID Feed the Future (FtF), the USDA Livestock Improvement Project, the European Union sponsored, 3SR—Sustainable Solutions for Small ruminants and NEXTGEN projects.

Stella, A., Nicolazzi, E. L., Van Tassell, C. P., Rothschild, M. F., Colli, L., Rosen, B. D., Sonstegard, T. S., Crepaldi, P., Tosser-klopp, G., Joost, S., Amills, M., Ajmone-marsan, P., Bertolini, F., Boettcher, P., Boyle Onzima, R., Bradley, D., Buja, D., Cano Pereira, M. E., Carta, A., Catillo, G., Crisà, A., Del Corvo, M., Daly, K., Droegemueller, C., Duruz, S., Elbeltagi, A., Esmailizadeh, A., Faco, O., Figueiredo Cardoso, T., Flury, C., Garcia, J. F., Guldbrandtsen, B., Haile, A., Hallsteinn Hallsson, J., Heaton, M., Hunnicke Nielsen, V., Huson, H., Kijas, J., Lenstra, J. A., Marras, G., Milanesi, M., Minhui, C., Moaeen-ud-din, M., Morry O'donnell, R., Moses Danlami, O., Mwacharo, J., Palhière, I., Pilla, F., Poli, M., Reecy, J., Rischkowsky, B. A., Rochat, E., Rupp, R., Sayre, B., Servin, B., Silva, K., Spangler, G., Steri, R., Talenti, A., Tortereau, F., Vajana, E., Zhang, W., AdaptMap: Exploring goat diversity and adaptation, <<GENETICS SELECTION EVOLUTION>>, 2018; 50 (1): N/A-N/A. [doi:10.1186/s12711-018-0427-5] [http://hdl.handle.net/10807/133612]

AdaptMap: Exploring goat diversity and adaptation

Colli, Licia;Ajmone-Marsan, Paolo;Del Corvo, Marcello;Milanesi, Marco;
2018

Abstract

Goats are bred worldwide and present in a wide variety of production environments. Local breeds, which are well adapted to a range of agro-ecological conditions, contribute to ensuring the sustainability of livestock farming in marginal and difficult areas in both developed and developing countries. Compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization between breeds, thus they represent one of the best species for the study of genetic diversity and adaptation. The International Goat Genome Consortium (IGGC, http://www.goatgenome.org) was created in 2012 with the general goal of increasing the range of genomic tools and publicly available information for the goat. In 2013, the 50 K goat single nucleotide polymorphism (SNP) panel was developed (http://www.goatgenome.org; [3]) by combining whole-genome sequencing and reduced representation libraries from eight breeds/populations from Europe and Asia through the cooperation of the Institut National de la Recherche Agronomique (Inra) in France, Utrecht University in The Netherlands, the Malaysian Agricultural Research and Development Institute (MARDI) in Malaysia, and DNA Landmarks in Canada. Several large projects took advantage of this newly-developed SNP panel to genotype many goat populations across the world with a range of objectives and hypotheses: genome-wide association analyses across a spectrum of research and production traits, germplasm characterization and diversity studies, and genetic prediction for selection in commercial populations. The AdaptMap project started as a voluntary consortium in 2014, with the aim of improving coordination among these otherwise independent projects for genotyping, resequencing and phenotyping of goat breeds. AdaptMap was promoted by the International Goat Genome Consortium (IGGC), the African Goat Improvement Network (AGIN), which is a group resulting from the USAID Feed the Future (FtF), the USDA Livestock Improvement Project, the European Union sponsored, 3SR—Sustainable Solutions for Small ruminants and NEXTGEN projects.
Inglese
Stella, A., Nicolazzi, E. L., Van Tassell, C. P., Rothschild, M. F., Colli, L., Rosen, B. D., Sonstegard, T. S., Crepaldi, P., Tosser-klopp, G., Joost, S., Amills, M., Ajmone-marsan, P., Bertolini, F., Boettcher, P., Boyle Onzima, R., Bradley, D., Buja, D., Cano Pereira, M. E., Carta, A., Catillo, G., Crisà, A., Del Corvo, M., Daly, K., Droegemueller, C., Duruz, S., Elbeltagi, A., Esmailizadeh, A., Faco, O., Figueiredo Cardoso, T., Flury, C., Garcia, J. F., Guldbrandtsen, B., Haile, A., Hallsteinn Hallsson, J., Heaton, M., Hunnicke Nielsen, V., Huson, H., Kijas, J., Lenstra, J. A., Marras, G., Milanesi, M., Minhui, C., Moaeen-ud-din, M., Morry O'donnell, R., Moses Danlami, O., Mwacharo, J., Palhière, I., Pilla, F., Poli, M., Reecy, J., Rischkowsky, B. A., Rochat, E., Rupp, R., Sayre, B., Servin, B., Silva, K., Spangler, G., Steri, R., Talenti, A., Tortereau, F., Vajana, E., Zhang, W., AdaptMap: Exploring goat diversity and adaptation, <<GENETICS SELECTION EVOLUTION>>, 2018; 50 (1): N/A-N/A. [doi:10.1186/s12711-018-0427-5] [http://hdl.handle.net/10807/133612]
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