Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia

Detalhes bibliográficos
Autor(a) principal: Dequigiovanni, Gabriel
Data de Publicação: 2018
Outros Autores: Ramos, Santiago Linorio Ferreyra, Alves-Pereira, Alessandro, Fabri, Eliane Gomes, Doriane, Picanço Rodrigues, Clement, Charles Roland, Gepts, P., Veasey, Elizabeth Ann
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/14659
Resumo: Annatto (Bixa orellana L.) is a tropical American crop, commercially valuable due to its application in the food and cosmetics industries as a natural dye. The wild ancestor of cultivated annatto is B. orellana var. urucurana. Although never cultivated, this variety occurs in open forests and anthropogenic landscapes, and is always associated with riparian environments. In this study, we evaluated the genetic diversity and structure of B. orellana var. urucurana populations in Brazilian Amazonia using 16 microsatellite loci. We used Ecological Niche Modeling (ENM) to characterize the potential geographical range of this variety in northern South America. We analyzed 170 samples from 10 municipalities in the states of Rondônia, Pará and Roraima. A total of 194 alleles was observed, with an average of 12.1 alleles per locus. Higher levels of expected (HE) than observed (HO) heterozygosities were found for all populations. Bayesian analysis, Neighbor-Joining dendrograms and PCAs suggest the existence of three strongly structured groups of populations. A strong and positive correlation between genetic and geographic distances was found, suggesting that genetic differentiation might be caused by geographic isolation. From species distribution modelling, we detected that South Rondônia, Madre di Dios River basin, Llanos de Mojos, Llanos de Orinoco and eastern Ecuador are highly suitable areas for wild annatto to occur, providing additional targets for future exploration and conservation. Climatic adaptation analyses revealed strong differentiation among populations, suggesting that precipitation plays a key role in wild annatto’s current and potential distribution patterns. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
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spelling Dequigiovanni, GabrielRamos, Santiago Linorio FerreyraAlves-Pereira, AlessandroFabri, Eliane GomesDoriane, Picanço RodriguesClement, Charles RolandGepts, P.Veasey, Elizabeth Ann2020-04-24T16:59:59Z2020-04-24T16:59:59Z2018https://repositorio.inpa.gov.br/handle/1/1465910.1371/journal.pone.0198593Annatto (Bixa orellana L.) is a tropical American crop, commercially valuable due to its application in the food and cosmetics industries as a natural dye. The wild ancestor of cultivated annatto is B. orellana var. urucurana. Although never cultivated, this variety occurs in open forests and anthropogenic landscapes, and is always associated with riparian environments. In this study, we evaluated the genetic diversity and structure of B. orellana var. urucurana populations in Brazilian Amazonia using 16 microsatellite loci. We used Ecological Niche Modeling (ENM) to characterize the potential geographical range of this variety in northern South America. We analyzed 170 samples from 10 municipalities in the states of Rondônia, Pará and Roraima. A total of 194 alleles was observed, with an average of 12.1 alleles per locus. Higher levels of expected (HE) than observed (HO) heterozygosities were found for all populations. Bayesian analysis, Neighbor-Joining dendrograms and PCAs suggest the existence of three strongly structured groups of populations. A strong and positive correlation between genetic and geographic distances was found, suggesting that genetic differentiation might be caused by geographic isolation. From species distribution modelling, we detected that South Rondônia, Madre di Dios River basin, Llanos de Mojos, Llanos de Orinoco and eastern Ecuador are highly suitable areas for wild annatto to occur, providing additional targets for future exploration and conservation. Climatic adaptation analyses revealed strong differentiation among populations, suggesting that precipitation plays a key role in wild annatto’s current and potential distribution patterns. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.Volume 13, Número 6Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAlleleBixa OrellanaBixa Orellana Var. UrucuranaBrasilClimateControlled StudyGene LocusGene StructuresGenetic VariabilityGeographyHeterozygosityMicrosatellite MarkerNonhumanPlant GeneticsSpecies DistributionVarietasWild SpeciesAcclimatizationBixaceaeEnvironmental ProtectionForestGenetic VariationGeneticsAnnattoCarotenoidMicrosatellite DnaPlant ExtractAcclimatizationBixaceaeBrasilCarotenoidsConservation Of Natural ResourcesForestsGenetic VariationMicrosatellite RepeatsPlant ExtractsHighly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazoniainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLoS ONEengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf7348978https://repositorio.inpa.gov.br/bitstream/1/14659/1/artigo-inpa.pdf5e0ccff933fba0597e1e18ef492afb52MD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14659/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/146592020-07-14 09:19:13.609oai:repositorio:1/14659Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T13:19:13Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
title Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
spellingShingle Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
Dequigiovanni, Gabriel
Allele
Bixa Orellana
Bixa Orellana Var. Urucurana
Brasil
Climate
Controlled Study
Gene Locus
Gene Structures
Genetic Variability
Geography
Heterozygosity
Microsatellite Marker
Nonhuman
Plant Genetics
Species Distribution
Varietas
Wild Species
Acclimatization
Bixaceae
Environmental Protection
Forest
Genetic Variation
Genetics
Annatto
Carotenoid
Microsatellite Dna
Plant Extract
Acclimatization
Bixaceae
Brasil
Carotenoids
Conservation Of Natural Resources
Forests
Genetic Variation
Microsatellite Repeats
Plant Extracts
title_short Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
title_full Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
title_fullStr Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
title_full_unstemmed Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
title_sort Highly structured genetic diversity of Bixa orellana var. urucurana, the wild ancestor of annatto, in Brazilian Amazonia
author Dequigiovanni, Gabriel
author_facet Dequigiovanni, Gabriel
Ramos, Santiago Linorio Ferreyra
Alves-Pereira, Alessandro
Fabri, Eliane Gomes
Doriane, Picanço Rodrigues
Clement, Charles Roland
Gepts, P.
Veasey, Elizabeth Ann
author_role author
author2 Ramos, Santiago Linorio Ferreyra
Alves-Pereira, Alessandro
Fabri, Eliane Gomes
Doriane, Picanço Rodrigues
Clement, Charles Roland
Gepts, P.
Veasey, Elizabeth Ann
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Dequigiovanni, Gabriel
Ramos, Santiago Linorio Ferreyra
Alves-Pereira, Alessandro
Fabri, Eliane Gomes
Doriane, Picanço Rodrigues
Clement, Charles Roland
Gepts, P.
Veasey, Elizabeth Ann
dc.subject.eng.fl_str_mv Allele
Bixa Orellana
Bixa Orellana Var. Urucurana
Brasil
Climate
Controlled Study
Gene Locus
Gene Structures
Genetic Variability
Geography
Heterozygosity
Microsatellite Marker
Nonhuman
Plant Genetics
Species Distribution
Varietas
Wild Species
Acclimatization
Bixaceae
Environmental Protection
Forest
Genetic Variation
Genetics
Annatto
Carotenoid
Microsatellite Dna
Plant Extract
Acclimatization
Bixaceae
Brasil
Carotenoids
Conservation Of Natural Resources
Forests
Genetic Variation
Microsatellite Repeats
Plant Extracts
topic Allele
Bixa Orellana
Bixa Orellana Var. Urucurana
Brasil
Climate
Controlled Study
Gene Locus
Gene Structures
Genetic Variability
Geography
Heterozygosity
Microsatellite Marker
Nonhuman
Plant Genetics
Species Distribution
Varietas
Wild Species
Acclimatization
Bixaceae
Environmental Protection
Forest
Genetic Variation
Genetics
Annatto
Carotenoid
Microsatellite Dna
Plant Extract
Acclimatization
Bixaceae
Brasil
Carotenoids
Conservation Of Natural Resources
Forests
Genetic Variation
Microsatellite Repeats
Plant Extracts
description Annatto (Bixa orellana L.) is a tropical American crop, commercially valuable due to its application in the food and cosmetics industries as a natural dye. The wild ancestor of cultivated annatto is B. orellana var. urucurana. Although never cultivated, this variety occurs in open forests and anthropogenic landscapes, and is always associated with riparian environments. In this study, we evaluated the genetic diversity and structure of B. orellana var. urucurana populations in Brazilian Amazonia using 16 microsatellite loci. We used Ecological Niche Modeling (ENM) to characterize the potential geographical range of this variety in northern South America. We analyzed 170 samples from 10 municipalities in the states of Rondônia, Pará and Roraima. A total of 194 alleles was observed, with an average of 12.1 alleles per locus. Higher levels of expected (HE) than observed (HO) heterozygosities were found for all populations. Bayesian analysis, Neighbor-Joining dendrograms and PCAs suggest the existence of three strongly structured groups of populations. A strong and positive correlation between genetic and geographic distances was found, suggesting that genetic differentiation might be caused by geographic isolation. From species distribution modelling, we detected that South Rondônia, Madre di Dios River basin, Llanos de Mojos, Llanos de Orinoco and eastern Ecuador are highly suitable areas for wild annatto to occur, providing additional targets for future exploration and conservation. Climatic adaptation analyses revealed strong differentiation among populations, suggesting that precipitation plays a key role in wild annatto’s current and potential distribution patterns. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2020-04-24T16:59:59Z
dc.date.available.fl_str_mv 2020-04-24T16:59:59Z
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dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/14659
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0198593
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identifier_str_mv 10.1371/journal.pone.0198593
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 13, Número 6
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 PLoS ONE
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