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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Animal Genomics and Improvement Laboratory » Research » Publications at this Location » Publication #357552

Research Project: Enhancing Genetic Merit of Ruminants Through Improved Genome Assembly, Annotation, and Selection

Location: Animal Genomics and Improvement Laboratory

Title: AdaptMap: Exploring goat diversity and adaptation

Author
item Amills, Marcel - Collaborator
item Rischowsky, Barbara - International Center For Agricultural Research In The Dry Areas (ICARDA)
item Ajmone-marsan, Paolo - Università Cattolica Del Sacro Cuore
item Boettcher, Paul - Food & Agriculture Organization (FAO)
item Boyle, Onzima - Wageningen University
item Bradley, Dan - Smurfit Institute Of Genetics
item Cano Pereira, Margarita - Instituto Nacional De Tecnologia Agropecuaria
item Catillo, Gennaro - Council For Agricultural Research And Ag Econcomy Analysis
item Colli, Licia - Università Cattolica Del Sacro Cuore
item Crepaldi, Paola - University Of Milan
item Crisà, Alessandra - Council For Agricultural Research And Ag Econcomy Analysis
item Del Corvo, Marcello - Università Cattolica Del Sacro Cuore
item Daly, Kevin - Trinity College
item Droegemuelle, Kevin - Smurfit Institute Of Genetics
item Duruz, Solange - Ecole Polytechnique Federale De Lausanne (EPFL)
item Elbeltagi, Ahmed - Collaborator
item Esmailizadeh, Ali - University Of Kerman
item Faco, Olivardo - Embrapa
item Flury, Christine - Ecole Polytechnique Federale De Lausanne (EPFL)
item Garcia, Jose - Sao Paulo State University (UNESP)
item Guldbrandtsen, Brent - Aarhus University
item Haile, Aynalem - International Center For Agricultural Research In The Dry Areas (ICARDA)
item Hallsteinn Hallsson, Jon - Collaborator
item Heaton, Michael - Mike
item Hunnicke Nielsen, Vivi - Collaborator
item Huson, Heather - Cornell University - New York
item Joost, Stephane - Ecole Polytechnique Federale De Lausanne (EPFL)
item Kijas, James - Collaborator
item Lenstra, Johannes - Utrecht University
item Milanesi, Marco - Università Cattolica Del Sacro Cuore
item Minhui, Chen - Aarhus University
item Morry O'donnell, Romy - Weatherbys
item Moses Danlami, Ogah - Collaborator
item Mwacharo, Joram - International Center For Agricultural Research In The Dry Areas (ICARDA)
item Nicolazzi, Ezequiel - Parco Tecnologico Padano
item Marras, Gabriele - Parco Tecnologico Padano
item Palhiere, Isabelle - Institut National De La Recherche Agronomique (INRA)
item Pilla, Fabio - University Of Molise
item Poli, Mario - National Institute Of Agropecuarian Technology (INTA)
item Reecy, Jim - Iowa State University
item Rochat, Estelle - Ecole Polytechnique Federale De Lausanne (EPFL)
item Rosen, Benjamin
item Rothschild, Max - Iowa State University
item Rupp, Rachel - Institut National De La Recherche Agronomique (INRA)
item Sayre, Brian - Virginia State University
item Servin, Bertrand - Institut National De La Recherche Agronomique (INRA)
item Silva, Kleibe - Embrapa
item Sonstegard, Tad - Recombinetics, Inc
item Spangler, Gordon
item Stella, Alessandra - Parco Tecnologico Padano
item Steri, Roberto - Collaborator
item Talenti, Andrea - University Of Milan
item Tortereau, Flavie - Institut National De La Recherche Agronomique (INRA)
item Tosser, Gwenola - Institut National De La Recherche Agronomique (INRA)
item Vajana, Elia - Università Cattolica Del Sacro Cuore
item Van Tassell, Curtis - Curt
item Zhang, Wenguang - Inner Mongolian Agriculture University

Submitted to: Genetic Selection Evolution
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/17/2018
Publication Date: 11/19/2018
Citation: Amills, M., Rischowsky, B.A., Ajmone-Marsan, P., Boettcher, P., Boyle, O., Bradley, D., Cano Pereira, M.E., Catillo, G., Colli, L., Crepaldi, P., Crisà, A., Del Corvo, M., Daly, K., Droegemuelle, K., Duruz, S., Elbeltagi, A., Esmailizadeh, A., Faco, O., Flury, ., Garcia, J.F., Guldbrandtsen, B., Haile, A., Hallsteinn Hallsson, J., Heaton, M.P., Hunnicke Nielsen, V., Huson, H., Joost, S., Kijas, J., Lenstra, J.A., Milanesi, M., Minhui, C., Morry O'Donnell, R., Moses Danlami, O., Mwacharo, J., Nicolazzi, E.L., Marras, G., Palhiere, I., Pilla, F., Poli, M., Reecy, J., Rochat, E., Rosen, B.D., Rothschild, M., Rupp, R., Sayre, B., Servin, B., Silva, K., Sonstegard, T.S., Spangler, G.L., Stella, A., Steri, R., Talenti, A., Tortereau, F., Tosser, G., Vajana, E., Van Tassell, C.P., Zhang, W. 2018. AdaptMap: Exploring goat diversity and adaptation. Genetic Selection Evolution. 50:61. https://doi.org/10.1186/s12711-018-0427-5.
DOI: https://doi.org/10.1186/s12711-018-0427-5

Interpretive Summary: Goats are bred worldwide and are found in a wide variety of production environments. Local breeds, 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. When compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization of breeds, making them among the best animals for studying 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 genomic tools and publicly available information for the goat species. In 2013, the 50K goat SNP panel was developed (http://www.goatgenome.org). Several large projects took advantage of this newly developed panel and many goat populations across the world were genotyped 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.

Technical Abstract: Goats are bred worldwide and are found in a wide variety of production environments. Local breeds, 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. When compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization of breeds, making them among the best animals for studying 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 genomic tools and publicly available information for the goat species. In 2013, the 50K goat SNP panel was developed (http://www.goatgenome.org) by the combined sequencing of whole genomes 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 panel and many goat populations across the world were genotyped 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) - a group resulting from the USAID Feed the Future (FtF) - USDA Livestock Improvement Project, the European Union sponsored, 3SR - Sustainable Solutions for Small ruminants and NEXTGEN projects.