Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models
Background: Maize landraces from South America have traditionally been assigned to two main categories: Andean and Tropical Lowland germplasm. However, the genetic structure and affiliations of the lowland gene pools have been difficult to assess due to limited sampling and the lack of comparative a...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/1055 https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-016-0874-5 https://doi.org/10.1186/s12870-016-0874-5 |
| _version_ | 1855482809956696064 |
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| author | Bracco, Mariana Cascales, Jimena Camara Hernández, Julián Poggio, Lidia Gottlieb, Alexandra Marina Lia, Veronica Viviana |
| author_browse | Bracco, Mariana Camara Hernández, Julián Cascales, Jimena Gottlieb, Alexandra Marina Lia, Veronica Viviana Poggio, Lidia |
| author_facet | Bracco, Mariana Cascales, Jimena Camara Hernández, Julián Poggio, Lidia Gottlieb, Alexandra Marina Lia, Veronica Viviana |
| author_sort | Bracco, Mariana |
| collection | INTA Digital |
| description | Background: Maize landraces from South America have traditionally been assigned to two main categories: Andean and Tropical Lowland germplasm. However, the genetic structure and affiliations of the lowland gene pools have been difficult to assess due to limited sampling and the lack of comparative analysis. Here, we examined SSR and Adh2 sequence variation in a diverse sample of maize landraces from lowland middle South America, and performed a comprehensive integrative analysis of population structure and diversity including already published data of archaeological and extant specimens from the Americas. Geographic distribution models were used to explore the relationship between environmental factors and the observed genetic structure.
Results: Bayesian and multivariate analyses of population structure showed the existence of two previously overlooked lowland gene pools associated with Guaraní indigenous communities of middle South America. The singularity of this
germplasm was also evidenced by the frequency distribution of microsatellite repeat motifs of the Adh2 locus and the distinct spatial pattern inferred from geographic distribution models. |
| format | Artículo |
| id | INTA1055 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA10552017-12-18T14:29:50Z Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models Bracco, Mariana Cascales, Jimena Camara Hernández, Julián Poggio, Lidia Gottlieb, Alexandra Marina Lia, Veronica Viviana Fitomejoramiento Maíz Genética Variación Genética Plant Breeding Maize Genetics Genetic Variation América del Sur Modelos de Distribución Geográfica Background: Maize landraces from South America have traditionally been assigned to two main categories: Andean and Tropical Lowland germplasm. However, the genetic structure and affiliations of the lowland gene pools have been difficult to assess due to limited sampling and the lack of comparative analysis. Here, we examined SSR and Adh2 sequence variation in a diverse sample of maize landraces from lowland middle South America, and performed a comprehensive integrative analysis of population structure and diversity including already published data of archaeological and extant specimens from the Americas. Geographic distribution models were used to explore the relationship between environmental factors and the observed genetic structure. Results: Bayesian and multivariate analyses of population structure showed the existence of two previously overlooked lowland gene pools associated with Guaraní indigenous communities of middle South America. The singularity of this germplasm was also evidenced by the frequency distribution of microsatellite repeat motifs of the Adh2 locus and the distinct spatial pattern inferred from geographic distribution models. Inst. de Biotecnología Fil: Bracco, Mariana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina Fil: Cascales, Jimena. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Camara Hernández, Julián. Universidad de Buenos Aires. Facultad de Agronomía; Argentina Fil: Poggio, Lidia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Gottlieb, Alexandra Marina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina 2017-08-28T14:18:30Z 2017-08-28T14:18:30Z 2016 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1055 https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-016-0874-5 1471-2229 https://doi.org/10.1186/s12870-016-0874-5 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf BMC plant biology (August 2016) |
| spellingShingle | Fitomejoramiento Maíz Genética Variación Genética Plant Breeding Maize Genetics Genetic Variation América del Sur Modelos de Distribución Geográfica Bracco, Mariana Cascales, Jimena Camara Hernández, Julián Poggio, Lidia Gottlieb, Alexandra Marina Lia, Veronica Viviana Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title | Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title_full | Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title_fullStr | Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title_full_unstemmed | Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title_short | Dissecting maize diversity in lowland South America : genetic structure and geographic distribution models |
| title_sort | dissecting maize diversity in lowland south america genetic structure and geographic distribution models |
| topic | Fitomejoramiento Maíz Genética Variación Genética Plant Breeding Maize Genetics Genetic Variation América del Sur Modelos de Distribución Geográfica |
| url | http://hdl.handle.net/20.500.12123/1055 https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-016-0874-5 https://doi.org/10.1186/s12870-016-0874-5 |
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