Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales.
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1015836 |
Resumo: | Population genetic structure and genetic diversity levels are important issues to understand population dynamics and to guide forest management plans. The Brazil nut tree (Bertholletia excelsa Bonpl.) is an endemic species, widely distributed through Amazonian upland forests and also an important species for the local extractive economy. Our aim was to analyze the genetic structure of Brazil nut trees at both fine and large scales throughout the Amazon Basin, contributing to the knowledge base on this species and to generate information to support plans for its conservation. We genotyped individuals from nine sites distributed in five regions of the Brazilian Amazon using 11 microsatellite loci. We found an excess of heterozygotes in most populations, with significant negative inbreeding coefficients (f) for five of them and the finescale structure, when present, was very small. These results, as a consequence of self-incompatibility, indicate that conservation plans for B. excelsa must include the maintenance of genetic diversity within populations to ensure viable amounts of seeds for both economic purposes and for the local persistence of the species. |
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Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales.Marcador microssatéliteFitomejoramientoMadera tropicalMarcadores genéticosNuez del BrasilRepeticiones de microsatéliteVariación genéticaDinámica poblacionalMelhoramento genético vegetalEssência florestalCastanha do paráBertholletia excelsaVariação genéticaDinâmica populacionalMarcador genéticoPlant breedingTropical woodBrazil nutsGenetic variationPopulation dynamicsGenetic markersMicrosatellite repeatsPopulation genetic structure and genetic diversity levels are important issues to understand population dynamics and to guide forest management plans. The Brazil nut tree (Bertholletia excelsa Bonpl.) is an endemic species, widely distributed through Amazonian upland forests and also an important species for the local extractive economy. Our aim was to analyze the genetic structure of Brazil nut trees at both fine and large scales throughout the Amazon Basin, contributing to the knowledge base on this species and to generate information to support plans for its conservation. We genotyped individuals from nine sites distributed in five regions of the Brazilian Amazon using 11 microsatellite loci. We found an excess of heterozygotes in most populations, with significant negative inbreeding coefficients (f) for five of them and the finescale structure, when present, was very small. These results, as a consequence of self-incompatibility, indicate that conservation plans for B. excelsa must include the maintenance of genetic diversity within populations to ensure viable amounts of seeds for both economic purposes and for the local persistence of the species.Published online: 24 March 2015.Patricia Sanae Sujii, Unicamp; Karina Martins, Ufscar; LUCIA HELENA DE OLIVEIRA WADT, CPAF-RO; VANIA CRISTINA RENNO AZEVEDO, CENARGEN; Vera Nisaka Solferini, Unicamp.SUJII, P. S.MARTINS, K.WADT, L. H. de O.AZEVEDO, V. C. R.SOLFERINI, V. N.2015-05-20T11:11:11Z2015-05-20T11:11:11Z2015-05-2020152017-06-21T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleConservation Genetics, Dordrecht, v. 16, n. 4, p. 955-964, Aug. 2015.http://www.alice.cnptia.embrapa.br/alice/handle/doc/101583610.1007/s10592-015-0714-4enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:32:55Zoai:www.alice.cnptia.embrapa.br:doc/1015836Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:32:55falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:32:55Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
title |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
spellingShingle |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. SUJII, P. S. Marcador microssatélite Fitomejoramiento Madera tropical Marcadores genéticos Nuez del Brasil Repeticiones de microsatélite Variación genética Dinámica poblacional Melhoramento genético vegetal Essência florestal Castanha do pará Bertholletia excelsa Variação genética Dinâmica populacional Marcador genético Plant breeding Tropical wood Brazil nuts Genetic variation Population dynamics Genetic markers Microsatellite repeats |
title_short |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
title_full |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
title_fullStr |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
title_full_unstemmed |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
title_sort |
Genetic structure of Bertholletia excelsa populations from the Amazon at different spatial scales. |
author |
SUJII, P. S. |
author_facet |
SUJII, P. S. MARTINS, K. WADT, L. H. de O. AZEVEDO, V. C. R. SOLFERINI, V. N. |
author_role |
author |
author2 |
MARTINS, K. WADT, L. H. de O. AZEVEDO, V. C. R. SOLFERINI, V. N. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Patricia Sanae Sujii, Unicamp; Karina Martins, Ufscar; LUCIA HELENA DE OLIVEIRA WADT, CPAF-RO; VANIA CRISTINA RENNO AZEVEDO, CENARGEN; Vera Nisaka Solferini, Unicamp. |
dc.contributor.author.fl_str_mv |
SUJII, P. S. MARTINS, K. WADT, L. H. de O. AZEVEDO, V. C. R. SOLFERINI, V. N. |
dc.subject.por.fl_str_mv |
Marcador microssatélite Fitomejoramiento Madera tropical Marcadores genéticos Nuez del Brasil Repeticiones de microsatélite Variación genética Dinámica poblacional Melhoramento genético vegetal Essência florestal Castanha do pará Bertholletia excelsa Variação genética Dinâmica populacional Marcador genético Plant breeding Tropical wood Brazil nuts Genetic variation Population dynamics Genetic markers Microsatellite repeats |
topic |
Marcador microssatélite Fitomejoramiento Madera tropical Marcadores genéticos Nuez del Brasil Repeticiones de microsatélite Variación genética Dinámica poblacional Melhoramento genético vegetal Essência florestal Castanha do pará Bertholletia excelsa Variação genética Dinâmica populacional Marcador genético Plant breeding Tropical wood Brazil nuts Genetic variation Population dynamics Genetic markers Microsatellite repeats |
description |
Population genetic structure and genetic diversity levels are important issues to understand population dynamics and to guide forest management plans. The Brazil nut tree (Bertholletia excelsa Bonpl.) is an endemic species, widely distributed through Amazonian upland forests and also an important species for the local extractive economy. Our aim was to analyze the genetic structure of Brazil nut trees at both fine and large scales throughout the Amazon Basin, contributing to the knowledge base on this species and to generate information to support plans for its conservation. We genotyped individuals from nine sites distributed in five regions of the Brazilian Amazon using 11 microsatellite loci. We found an excess of heterozygotes in most populations, with significant negative inbreeding coefficients (f) for five of them and the finescale structure, when present, was very small. These results, as a consequence of self-incompatibility, indicate that conservation plans for B. excelsa must include the maintenance of genetic diversity within populations to ensure viable amounts of seeds for both economic purposes and for the local persistence of the species. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-05-20T11:11:11Z 2015-05-20T11:11:11Z 2015-05-20 2015 2017-06-21T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Conservation Genetics, Dordrecht, v. 16, n. 4, p. 955-964, Aug. 2015. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1015836 10.1007/s10592-015-0714-4 |
identifier_str_mv |
Conservation Genetics, Dordrecht, v. 16, n. 4, p. 955-964, Aug. 2015. 10.1007/s10592-015-0714-4 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1015836 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503406768881664 |