Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/23261 |
Resumo: | The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities. © 2020 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos |
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Oliveira, Ezequiel Aguiar dePerez, Manolo FernandezBertollo, Luiz Antônio CarlosGestich, Carla C.Ráb, PetrEzaz, Tariq TariqSouza, F. H.S.Viana, Patrik FerreiraFeldberg, ElianaOliveira, Edvagner H.C.Cioffi, M. B.2020-07-03T21:06:34Z2020-07-03T21:06:34Z2020https://repositorio.inpa.gov.br/handle/1/2326110.1111/ecog.04874The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities. © 2020 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society OikosAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessClimate ChangeDArTseqdeep learningFishhistorical demographyneotropical diversityHistorical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importanceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEcographyengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALhistorical.pdfhistorical.pdfapplication/pdf1091936https://repositorio.inpa.gov.br/bitstream/1/23261/1/historical.pdf99e0fc57f1efc9d8014a821c42af9026MD511/232612020-07-16 12:38:02.779oai:repositorio:1/23261Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-16T16:38:02Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
title |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
spellingShingle |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance Oliveira, Ezequiel Aguiar de Climate Change DArTseq deep learning Fish historical demography neotropical diversity |
title_short |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
title_full |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
title_fullStr |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
title_full_unstemmed |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
title_sort |
Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance |
author |
Oliveira, Ezequiel Aguiar de |
author_facet |
Oliveira, Ezequiel Aguiar de Perez, Manolo Fernandez Bertollo, Luiz Antônio Carlos Gestich, Carla C. Ráb, Petr Ezaz, Tariq Tariq Souza, F. H.S. Viana, Patrik Ferreira Feldberg, Eliana Oliveira, Edvagner H.C. Cioffi, M. B. |
author_role |
author |
author2 |
Perez, Manolo Fernandez Bertollo, Luiz Antônio Carlos Gestich, Carla C. Ráb, Petr Ezaz, Tariq Tariq Souza, F. H.S. Viana, Patrik Ferreira Feldberg, Eliana Oliveira, Edvagner H.C. Cioffi, M. B. |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Ezequiel Aguiar de Perez, Manolo Fernandez Bertollo, Luiz Antônio Carlos Gestich, Carla C. Ráb, Petr Ezaz, Tariq Tariq Souza, F. H.S. Viana, Patrik Ferreira Feldberg, Eliana Oliveira, Edvagner H.C. Cioffi, M. B. |
dc.subject.eng.fl_str_mv |
Climate Change DArTseq deep learning Fish historical demography neotropical diversity |
topic |
Climate Change DArTseq deep learning Fish historical demography neotropical diversity |
description |
The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities. © 2020 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-07-03T21:06:34Z |
dc.date.available.fl_str_mv |
2020-07-03T21:06:34Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/23261 |
dc.identifier.doi.none.fl_str_mv |
10.1111/ecog.04874 |
url |
https://repositorio.inpa.gov.br/handle/1/23261 |
identifier_str_mv |
10.1111/ecog.04874 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Ecography |
publisher.none.fl_str_mv |
Ecography |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Instituto Nacional de Pesquisas da Amazônia (INPA) |
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INPA |
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INPA |
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Repositório Institucional do INPA |
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Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/23261/1/historical.pdf |
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