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Integration of georeferenced and genetic data for the management of biodiversity in sheep genetic resources in Brazil

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Abstract

There are few animal germplasm/gene bank collections in Brazil, and basic studies are needed to attend the future internal and external demands from international partners. The aim of this work was to validate a “proof of concept” that integrates spatial (georeferenced data) and genetic data regarding the local of origin from 3518 DNA samples from 17 different genetic groups or breeds of sheep in the Brazilian Germplasm bank. Spatialisation shows that not all genetic groups have samples in the bank, and collection is concentrated in the conservation nuclei spread nationwide. Only 21% of states with a specific breed have samples in the gene bank. The mean number of animals sampled per collection was 32, while the mean distance travelled to collect samples was 262 km from the conservation nuclei. For example, the Brazilian Somali were only collected in the conservation nucleus in Ceará State. No samples were collected to date for the Cariri breed, which is recognised by the Brazilian Ministry of Agriculture. Only two farms and one breed in the bank are from the northern region. Of the 27 states, there are samples in the gene bank of sheep from 13, so several states have no samples, requiring collection from herds outside the official system of conservation to make sure that studies using this germplasm realised are not biased. Significant genetic differences are seen above 332 km, which should guide future sampling efforts. Suggestions are given for improving the quantity, quality and diversity of samples in the gene bank.

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References

  • Albuquerque, M.S.M., Egito, A.A., Marques, J.R.F., Ciampi, A.Y., Mariante, A.S., Castro, S.T.R., Costa, M.R., Paiva, S.R., Silva, A.C.M. and Contel, E.P.B., 2006. Variabilidade genética em búfalos estimada por marcadores RAPD, Pesquisa Agropecuaria Brasileira, 41, 623–628.

  • Alves, A.A.C., Azevedo, V.C.R. 2018. Embrapa Network for Brazilian Plant Genetic Resources Conservation. Biopreservation and Biobanking, 16, 350–360 https://doi.org/10.1089/bio.2018.0044.

    Article  CAS  Google Scholar 

  • Araujo, A. and Paiva, S.R. Perspectivas das raças naturalizadas caprinas e ovinas deslanadas no Brasil. 2006. www.alice.cnptia.embrapa.br/bitstream/doc/894418/1/AACPerspectivasdasracas.pdf. Accessed 29 Jul 2011.

  • Araújo, A.A., Guimarães, S.E.F., Pereira, C.S., Lopes, O.S., Rodrigues, M.T. and Machado, T.M.M., 2010. Paternity in Brazilian goats through the use of DNA microsatellites. Revista Brasileira de Zootecnia, 39, 1011–1014.

    Article  Google Scholar 

  • ARCO - Associação Brasileira de Criadores de Ovinos, n.d http://www.arcoovinos.com.br/index.php,

  • Bermejo, J.V.D., Martinez, M.A.M., Galván, G.R., Stemmer, A., González, F.J.N., Vallejo, M.E.C. 2019. Organization and Management of Conservation Programs and Research in Domestic Animal Genetic Resources. Diversity. 11, 235, https://doi.org/10.3390/d11120235.

    Article  Google Scholar 

  • Blackburn, H.D., Krehbiel, B., Ericsson, S.A., Wilson, C., Caetano, A.R. and Paiva, S.R., 2017. A fine structure genetic analysis evaluating ecoregional adaptability of a Bos taurus breed (Hereford). PloS one, 12(5), e0176474.

    Article  CAS  Google Scholar 

  • Boettcher, P.J., Tixer–Boichard, M., Toro, M.A., Simianer, H., Eding, H., Gandini, G., Joost, S., Garcia, D., Colli, L., Ajmone–Marsan, P., and the GLOBALDIV Consortium. 2010. Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources. Animal Genetics, Special Issue, 41 54–77. https://doi.org/10.1111/j.1365-2052.2010.02050.x.

  • Castanheira, M., Paiva, S.R., Louvandini, H., Landim, A.V., Fioravanti, M.C.S., Dallago, B.S.L., Corrêa, P.S. and McManus, C., 2010. Use of heat tolerance traits in discriminating between groups of sheep in central Brazil, Tropical Animal Health and Production, 42, 1821–1828.

  • Castro, S.R., 2008. Diversidade e estrutura genética de ovinos crioulos lanados do Brasil, (unpublished PhD thesis, Universidade de Brasília).

  • Costa, N.S., Hermuche, P., Cobuci, J.A., Paiva, S.R., Guimaraes, R.F., Carvalho Jr., O.A., Gomes, R.A.T., Costa, C.N., McManus, C.M. 2014. Georeferenced evaluation of genetic breeding value patterns in Brazilian Holstein cattle. Genetics and Molecular Research 13 (4): 9806–9816.

  • Díez, MJ, De la Rosa, L, Martín, I, Guasch, L, Cartea, ME, Mallor, C, Casals, J, Simó, J, Rivera, A, Anastasio, G, Prohens, J, Soler, S, Blanca, J, Valcárcel, JV, Casañas, 2018, Plant Genebanks: Present Situation and Proposals for Their Improvement. the Case of the Spanish Network. Frontiers in Plant Science, 9, 1794 https://doi.org/10.3389/fpls.2018.01794.

    Article  PubMed  PubMed Central  Google Scholar 

  • Egito, A.A., Albuquerque, M.S.M. and Mariante, A.S., 1999. Situação atual da caracterização genética animal na Embrapa Recursos Genéticos e Biotecnologia. In: II Simpósio de recursos genéticos para America Latina e Caribe – SIRGEALC, Brasília, 1999.

  • Egito, A.A., Fuck, B.H., McManus, C., Paiva, S.R., Albuquerque, M.S.M., Santos, S.A.S., Abreu, U., Silva, J.A., Sereno, F.T.P. and Mariante, A.S., 2007a. Genetic variability of Pantaneiro horse using RAPD–PCR markers, Revista Brasileira de Zootecnia, 36, 799–806.

  • Egito, A.A., Paiva, S.R., Albuquerque, M.S.M., Mariante, A.S., Almeida, L.D., Castro S.R. and Grattapaglia, D., 2007b. Microsatellite based genetic diversity and relationships among ten and commercial cattle breeds raised in Brazil, BMC Genetics (Online), 8, 83.

    Article  Google Scholar 

  • Facó, O., Paiva, S.R., Alves, L.R.N., Lobo, R.N.B. and Vilella, L.C.V., 2008. Raça Morada Nova: origem, características e perspectivas, Embrapa Caprinos: Sobral.

    Google Scholar 

  • Food and Agriculture Organization of the United Nations (FAO). Estado da tecnologia avançada na gestão dos recursos genéticos animais. 2011. http://www.fao.org/docrep/012/a1260p/a1260p04.pdf. Accessed 30 Jul 2011.

  • Gonçalves, G.L., Moreira, G.R.P., Freitas, T.R.O., Hepp, D., Passos, D.T. and Weimer, T.A., 2010. Mitochondrial and nuclear DNA analyses reveal population differentiation in Brazilian Crioula sheep, Animal Genetics, 41, 308–310.

    Article  Google Scholar 

  • Hermuche, P.M., da Silva, N.C., Guimarães, R.F., de Carvalho Junior, O.A., Gomes, R.A.T., Paiva, S.R. and McManus, C., 2012. Dynamics of sheep production in brazil using principal components and auto–organization features maps, Revista Brasileira de Cartografia, 64, 821–832.

    Google Scholar 

  • Kijas, J.W., Lenstra, J.A., Hayes, B., Boitard, S., Porto Neto, L.R., San Cristobal M, Servin, B., McCulloch, R., Whan, V., Gietzen, K., Paiva, S., Barendse, W., Ciani, E., Raadsma, H., McEwan, J., Dalrymple, B. and International Sheep Genomics Consortium Members, 2012. Genome–Wide Analysis of the World’s Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection, PLoS Biology, 10, 2, 1–14.

    Article  Google Scholar 

  • Lôbo, R.N.B., Pereirra, I.D.C. , Facó, O. , McManus, C.M. 2011. Economic values for production traits of Morada Nova meat sheep in a pasture based production system in semi–arid Brazil. Small Ruminant Research, 96, 93–100

  • Lynch, M.; Milligan, B.G. 1994. Analysis of population genetic structure with RAPD makers. Molecular Ecology, 3, 91–99.

    Article  CAS  Google Scholar 

  • Mariante, A., McManus, C. and Mendonça, A. 2003. Country report on state of animal genetic resources: Brazil. Embrapa Recursos Geneticos e Biotecnologia, Brasilia.

    Google Scholar 

  • Mariante, A.S., Albuquerque, M.S.M., Egito, A.A., Mcmanus, C. M. ; Lopes, M. and Paiva, S.R., 2009 . Present status of the conservation of livestock genetic resources in Brazil, Livestock Science, 120, 204–212.

    Article  Google Scholar 

  • Mariante, A.S., McManus, C., Albuquerque, M.S.M., Paiva, S. 2010. Utilisation of Animal Genetic Resources in Brazil: Results of a 28–year Conservation Program. World Congress on genetics Applied to Livestock Production. In: World Congress on Genetics Applied to Livestock Production, 2010, Leipzig. Proceedings … Leipzig, 2010. Disponível em: <http://www.kongressband.de/wcgalp2010/assets/pdf/0079.pdf>.

  • McManus, C.M., Paludo, G.R., Louvandini, H., Gugel, R., Sasaki, L.C.B. and Paiva, S.R., 2009a. Heat tolerance in Brazilian sheep: physiological and blood parameters, Tropical Animal Health and Production, 41, 95–101.

    Article  Google Scholar 

  • McManus, C., Louvandini, H., Paiva, S.R., Oliveira, A.A., Azevedo, H.C. and Melo, C.B., 2009b. Genetic factors of sheep affecting gastrointestinal parasite infections in the Distrito Federal, Brazil, Veterinary Parasitology, 66, 308–313.

    Article  Google Scholar 

  • McManus, C., Paiva, S.R. and Olivera, R.A., 2010. Genetics and breeding of sheep in Brazil, Revista Brasileira de Zootecnia, 39, 236–246.

    Article  Google Scholar 

  • McManus, C., Mariante, A.S., Carvalho, L.F.R. 2014a, Final Report: Production Environment Descriptors for Brazilian Domestic Breeds, Report Presented to FAO.

  • McManus, C., Hermuche, P., Paiva, SR, Daltro, D., Alfonzo, EM., Facó. 2014b. Distribution of goat breeds in Brazil and their relationship with environmental controls. Biosci. J., Uberlandia, 30, 1819–1836

    Google Scholar 

  • McManus, C., Hermuche, P., Paiva, S.R., Moraes, J.C.F., Melo, C.B and Mendes, C., 2014c. Geographical distribution of sheep breeds in Brazil and their relationship with climatic and environmental factors as risk classification for conservation, Brazilian Journal of Science and Technology, 1, 3, 1–15.

    Google Scholar 

  • McManus, C., Dallago, B.S.F., Lehugeur, C., Ribeiro, L.A., Hermuche, P., Guimaraes, R.F., de Carvalho Junior, O.A. and Paiva, S.R., 2016. Patterns of heat tolerance in different sheep breeds in Brazil, Small Ruminant Research, 144, 290–299.

    Article  Google Scholar 

  • McManus, CM, Faria, DA, Lucci, CM, Louvandini, H., Pereira, SA, Paiva, SR. 2020a, Heat stress effects on sheep: Are hair sheep more heat resistant? Theriogenology, 155, 157–167. https://doi.org/10.1016/j.theriogenology.2020.05.047

    Article  CAS  PubMed  Google Scholar 

  • McManus, C., Paiva, S. R., Caetano, A. R., Hermuche, P., Guimarães, R. F., Carvalho, O. A., Braga, R., Carneiro, P.L.S., Ferrugem–Moraes, J., Souza, C.J. H., Facó, O., Santos, S.A., Azevedo, H.C., Araujo, A.M., Façanha, D.A., Ianella, P. 2020b. Landscape genetics of sheep in Brazil using SNP markers. Small Ruminant Research, 106239. doi:https://doi.org/10.1016/j.smallrumres.2020.106239

  • Miller, M.P., 2005. Alleles In Space: Computer software for the joint analysis of interindividual spatial and genetic information. The Journal of Heredity, 96, 722–724. https://doi.org/10.1093/jhered/esi119.

    Article  CAS  PubMed  Google Scholar 

  • Miller, S.A., Dykes, D.D., Polesky, H.F. 1988. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Research, 16, 1215.

  • Paim, T.P., Paiva, S.R., Toledo, N.M., Yamaghishi, M.B., Carneiro, P.L.S., Facó, O., Araújo, A.M., Azevedo, H.C., Caetano, A.R. and McManus C., 2019. How to better conserve with genetic data origin and population structure of Brazilian locally adapted hair sheep (Ovis aries) breeds, bioRxiv (preprint) https://doi.org/10.1101/815217.

  • Paiva, S.R., Silvério, V.C., Egito, A.A., McManus, C.M., Faria, D.A., Mariante, A.S., Castro, S.T.R., Albuquerque, M.S.M. and Dergam, J.A., 2005. Genetic variability of the main brazilian hair sheep breeds using RAPD–PCR markers and conservation implications, Pesquisa Agropecuaria Brasileira, 40, 887–893.

    Article  Google Scholar 

  • Paiva, S.R., Facó, O., Faria, D.A., Lacerda, T., Barretto, G.B., Carneiro, P.L.S., Lobo, R.N.B. and McManus, C., 2011a. Molecular and pedigree analysis applied to conservation of animal genetic resources: the case of Brazilian Somali hair sheep, Tropical Animal Health and Production, 43, 1449–1457.

    Article  Google Scholar 

  • Paiva, S.R., Mariante, A.S., Blackburn, H.D. 2011b. Combining US and Brazilian Microsatellite Data for a Meta–Analysis of Sheep (Ovis aries) Breed Diversity: Facilitating the FAO Global Plan of Action for Conserving Animal Genetic Resources, Journal of Heredity, 102, 697–704, https://doi.org/10.1093/jhered/esr101

    Article  Google Scholar 

  • Paiva, S.R., McManus, C.M. and Blackburn, H. 2016. Conservation of animal genetic resources–A new tact. Livestock Science, 193, 32–38, 2016

    Google Scholar 

  • Ramos, A.F., Albuquerque, M.S.M. and Mariante, A.S., 2011. Banco Brasileiro de Germoplasma Animal: perspectivas e desafios da conservação de caprinos no Brasil, Revista Brasileira de Reprodução Animal, 35, 104–107.

    Google Scholar 

  • Scherf, B., 2008. Description of production environments to support management of farm animal breeds in marginal areas. In: FAO/ARC/ILRI Workshop on Conservation, management and use of marginal farm animal geentic resources, 10th World Conference for Animal Production, Capetown, 2008.

  • Serrano, G.M., Egito, A.A., McManus, C. and Mariante, A.S., 2004. Genetic diversity and population structure of brazilian native bovine breeds, Pesquisa Agropecuaria Brasileira, 39, 543–549.

    Article  Google Scholar 

  • Silva, A.C.M., Paiva, S.R., Albuquerque, M.S.M., Mariante, A.S., Egito, A.A., Santos, S.A., Corrêa, P.S. and McManus, C. M., 2012. Genetic variability of Brazilian local horses: issues for conservation, Genetics and Molecular Research, 11, 2, 881–890.

    Article  CAS  Google Scholar 

  • Sollero, B.P., Paiva, S.R., Faria, D.A., Guimarães, S.E.F., Castro, S.T.R., Egito, A.A., Albuquerque, M.S.M., Piovezan, U., Bertani, G.R. and Mariante, A.S., 2009. Genetic diversty of brazilian pig breeds evidenced by microsatellite markers, Livestock Science, 123, 8–15.

    Article  Google Scholar 

  • Souza, C.A., Paiva, S.R., McManus, C., Azevedo, H.C., Mariante, A.S. and Grattapaglia, D., 2012. Genetic diversity and assessment of 23 microsatellite markers for parentage testing of Santa Inês sheep in Brazil. Genetics and Molecular Research, 8, 11, 1217–1229.

    Article  Google Scholar 

  • Souza, A.C., Egito, A.A., Peripolli, V., McManus. 2020. Bovine landscape genetics in Brazil. Scienta Agricola. Accepted

  • Spritze, A., Egito, A.A., Mariante, A.S. and McManus, C.M., 2003. Caracterização genética da raça bovina Crioulo Lageano usando marcadores moleculares RAPD, Pesquisa Agropecuaria Brasileira, 38, 1157–1164.

    Article  Google Scholar 

  • Storfer, A., Murphy, M.A., Evans, J.S., Goldberg, C.S., Robinson, S., Spear, S.F., Dezzani, R., Delmelle, E., Vierling, L., and Waits, L.P., 2007. Putting the “landscape” in landscape genetics, Heredity, 98, 128–142.

    Article  CAS  Google Scholar 

  • Welsh, C.S., Stewart, T.S., Schwab, C. and Blackburn, H., 2010. Pedigree analysis for 5 swine breeds in the United States and the implications for genetic conservation, Journal of Animal Science, 88 1610–1618.

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Acknowledgements

To CNPq, CAPES, Banco do Nordeste and FAPDF for financing and scholarships, as well as the many researchers and students who collected germplasm for the bank and the farmers for maintaining the breeds. Special thanks are due to EMBRAPA researchers Arthur da Silva Mariante, Assis Roberto de Bem (in Memorium), Armando Primo, Clara Vaz, Maria do Socorro Albuquerque, Andrea do Egito and Silvia Castro.

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Authors and Affiliations

  1. Universidade de Brasilia, Campus Universitário Darcy Ribeiro, ICC, Brasília, DF, 70910-900, Brazil

    Concepta Margaret McManus, Potira Hermuche, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Bruno Stéfano Lima Dallago, Renata Augusto Vieira & Danielle Assis de Faria

  2. USDA - Agricultural Genetic Resources Preservation Research, 1111 South Mason Street, NCGRP, Fort Collins, CO, 805214500, USA

    Harvey Blackburn

  3. EMBRAPA Pecuária Sul, BR 153 Km 603, Caixa Postal 242 - Vila Industrial, Bagé, RS, 96401-970, Brazil

    José Carlos Ferrugem Moraes & Carlos Hoff Souza

  4. EMBRAPA Caprinos, Estrada Sobral/Groaíras, Km 4, Caixa Postal 145, Sobral, CE, 62010-970, Brazil

    Olivardo Facó

  5. EMBRAPA Meio Norte, Av. Duque de Caxias, 5650 - Buenos Aires, Teresina, PI, 64006-220, Brazil

    Adriana Mello Araújo

  6. EMBRAPA Tabuleiros Costeiros, Av. Beira Mar, 3250 - Jardins, Caixa Postal 44, Aracaju, SE, 49025-040, Brazil

    Hymerson Costa Azevedo

  7. Departamento de Ciências Biológicas, Universidade Estadual do Sudeste da Bahia, Avenida José Moreira Sobrinho, s/nº Jequiezinho, Jequié, BA, 45200-000, Brazil

    Paulo Luiz Souza Carneiro

  8. EMBRAPA Pantanal, Rua 21 de Setembro, 1880 - Bairro Nossa Senhora de Fátima, Caixa Postal 109, Corumbá, MS, 79320-900, Brazil

    Sandra Aparecida Santos

  9. EMBRAPA Roraima, BR 174, 2, Boa Vista, RR, 69315-262, Brazil

    Paulo Sergio Ribeiro de Mattos

  10. EMBRAPA Recursos Genéticos e Biotecnologia, Parque Estação Biológica - PqEB - Av. W5 Norte (final), Caixa Postal 02372, Brasília, DF, 70770-917, Brazil

    Samuel Rezende Paiva

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  1. Concepta Margaret McManus
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  2. Potira Hermuche
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  17. Samuel Rezende Paiva
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Correspondence to Concepta Margaret McManus.

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All animal data was supplied by a gene bank; therefore, this study did not involve the direct manipulation of animals.

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McManus, C.M., Hermuche, P., Guimarães, R.F. et al. Integration of georeferenced and genetic data for the management of biodiversity in sheep genetic resources in Brazil. Trop Anim Health Prod 53, 126 (2021). https://doi.org/10.1007/s11250-021-02573-x

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