A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties
- Autores
- Addison, Sarah L.; Mendoza, Luciana L.; Rúa, Megan A.; Clinton, Peter W.; Pildain, María Belén; Molina, Lucia; Wakelin, Steve A.
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native populations are endangered, making it a species of high conservation value. Here, we present a comprehensive dataset of genetic variation in P. radiata, derived from 821 trees (113 endemic and 708 introduced) sampled across 16 countries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we provide an identity-by-state (IBS) matrix capturing genetic relatedness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species.
Fil: Addison, Sarah L.. Bioeconomy Science Institute; Nueva Zelanda
Fil: Mendoza, Luciana L.. Island Ecology And Conservation Group; México
Fil: Rúa, Megan A.. Wright State University; Estados Unidos
Fil: Clinton, Peter W.. Bioeconomy Science Institute; Nueva Zelanda
Fil: Pildain, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
Fil: Molina, Lucia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
Fil: Wakelin, Steve A.. Bioeconomy Science Institute; Nueva Zelanda - Materia
-
COSERVATION
FORESTRY
GENETIC GAIN
POPULATION ECOLOGY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/278623
Ver los metadatos del registro completo
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A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 countiesAddison, Sarah L.Mendoza, Luciana L.Rúa, Megan A.Clinton, Peter W.Pildain, María BelénMolina, LuciaWakelin, Steve A.COSERVATIONFORESTRYGENETIC GAINPOPULATION ECOLOGYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native populations are endangered, making it a species of high conservation value. Here, we present a comprehensive dataset of genetic variation in P. radiata, derived from 821 trees (113 endemic and 708 introduced) sampled across 16 countries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we provide an identity-by-state (IBS) matrix capturing genetic relatedness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species.Fil: Addison, Sarah L.. Bioeconomy Science Institute; Nueva ZelandaFil: Mendoza, Luciana L.. Island Ecology And Conservation Group; MéxicoFil: Rúa, Megan A.. Wright State University; Estados UnidosFil: Clinton, Peter W.. Bioeconomy Science Institute; Nueva ZelandaFil: Pildain, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; ArgentinaFil: Molina, Lucia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; ArgentinaFil: Wakelin, Steve A.. Bioeconomy Science Institute; Nueva ZelandaElsevier2025-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/278623Addison, Sarah L.; Mendoza, Luciana L.; Rúa, Megan A.; Clinton, Peter W.; Pildain, María Belén; et al.; A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties; Elsevier; Data in Brief; 63; 112123; 10-2025; 1-122352-3409CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2352340925008443info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2025.112123info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-26T10:10:43Zoai:ri.conicet.gov.ar:11336/278623instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-26 10:10:44.329CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| title |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| spellingShingle |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties Addison, Sarah L. COSERVATION FORESTRY GENETIC GAIN POPULATION ECOLOGY |
| title_short |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| title_full |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| title_fullStr |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| title_full_unstemmed |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| title_sort |
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties |
| dc.creator.none.fl_str_mv |
Addison, Sarah L. Mendoza, Luciana L. Rúa, Megan A. Clinton, Peter W. Pildain, María Belén Molina, Lucia Wakelin, Steve A. |
| author |
Addison, Sarah L. |
| author_facet |
Addison, Sarah L. Mendoza, Luciana L. Rúa, Megan A. Clinton, Peter W. Pildain, María Belén Molina, Lucia Wakelin, Steve A. |
| author_role |
author |
| author2 |
Mendoza, Luciana L. Rúa, Megan A. Clinton, Peter W. Pildain, María Belén Molina, Lucia Wakelin, Steve A. |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
COSERVATION FORESTRY GENETIC GAIN POPULATION ECOLOGY |
| topic |
COSERVATION FORESTRY GENETIC GAIN POPULATION ECOLOGY |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native populations are endangered, making it a species of high conservation value. Here, we present a comprehensive dataset of genetic variation in P. radiata, derived from 821 trees (113 endemic and 708 introduced) sampled across 16 countries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we provide an identity-by-state (IBS) matrix capturing genetic relatedness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species. Fil: Addison, Sarah L.. Bioeconomy Science Institute; Nueva Zelanda Fil: Mendoza, Luciana L.. Island Ecology And Conservation Group; México Fil: Rúa, Megan A.. Wright State University; Estados Unidos Fil: Clinton, Peter W.. Bioeconomy Science Institute; Nueva Zelanda Fil: Pildain, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina Fil: Molina, Lucia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina Fil: Wakelin, Steve A.. Bioeconomy Science Institute; Nueva Zelanda |
| description |
Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native populations are endangered, making it a species of high conservation value. Here, we present a comprehensive dataset of genetic variation in P. radiata, derived from 821 trees (113 endemic and 708 introduced) sampled across 16 countries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we provide an identity-by-state (IBS) matrix capturing genetic relatedness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/278623 Addison, Sarah L.; Mendoza, Luciana L.; Rúa, Megan A.; Clinton, Peter W.; Pildain, María Belén; et al.; A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties; Elsevier; Data in Brief; 63; 112123; 10-2025; 1-12 2352-3409 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/278623 |
| identifier_str_mv |
Addison, Sarah L.; Mendoza, Luciana L.; Rúa, Megan A.; Clinton, Peter W.; Pildain, María Belén; et al.; A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties; Elsevier; Data in Brief; 63; 112123; 10-2025; 1-12 2352-3409 CONICET Digital CONICET |
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eng |
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eng |
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openAccess |
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application/pdf application/pdf application/pdf |
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Elsevier |
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Elsevier |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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