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Registro Completo |
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
27/02/2009 |
Data da última atualização: |
09/05/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
ARAGÃO, F. J. L.; FARIA, J. C.; DIAS, B. B. A.; RIBEIRO, S. G.; TINOCO, M. L.; CUNHA, W. G.; CRUZ, A. R. R. |
Afiliação: |
FRANCISCO JOSE LIMA ARAGÃO, EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA; JOSIAS CORRÊA DE FARIA, EMBRAPA ARROZ E FEIJÃO; BÁRBARA BARRETO AANDRADE DIAS; SIMONE DA GRAÇA RIBEIRO, EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA; MARIA LAINE PENHA TINOCO; WELCIMAR GONÇALVES CUNHA; ANDRÉA RAQUEL RAMOS DA CRUZ. |
Título: |
Genetic engineering applied to the development of plants resistant to viruses and fugi. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 41., 2008, Belo Horizonte. [Resumos...]. Tropical Plant Pathology, v. 33, 2008. Suplemento. |
Páginas: |
p. S75 |
Idioma: |
Inglês |
Thesagro: |
Engenharia Genética; Planta. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00681nam a2200205 a 4500 001 1190815 005 2024-05-09 008 2008 bl uuuu u01u1 u #d 100 1 $aARAGÃO, F. J. L. 245 $aGenetic engineering applied to the development of plants resistant to viruses and fugi. 260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 41., 2008, Belo Horizonte. [Resumos...]. Tropical Plant Pathology, v. 33, 2008. Suplemento.$c2008 300 $ap. S75 650 $aEngenharia Genética 650 $aPlanta 700 1 $aFARIA, J. C. 700 1 $aDIAS, B. B. A. 700 1 $aRIBEIRO, S. G. 700 1 $aTINOCO, M. L. 700 1 $aCUNHA, W. G. 700 1 $aCRUZ, A. R. R.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
01/09/2020 |
Data da última atualização: |
02/09/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, P. I. T.; SILVA JUNIOR, O. B. da; RESENDE, L. V.; SOUSA, V. A. de; AGUIAR, A. V. de; GRATTAPAGLIA, D. |
Afiliação: |
PEDRO ITALO T. SILVA, UNB; ORZENIL BONFIM DA SILVA JUNIOR, Cenargen; LUCILEIDE V. RESENDE; VALDERES APARECIDA DE SOUSA, CNPF; ANANDA VIRGINIA DE AGUIAR, CNPF; DARIO GRATTAPAGLIA, Cenargen. |
Título: |
A 3K Axiom SNP array from a transcriptomewide SNP resource sheds new light on the genetic diversity and structure of the iconic subtropical conifer tree Araucaria angustifolia (Bert.) Kuntze. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
PLoS ONE, v. 15, n. 8, e0230404, 2020. |
DOI: |
https://doi.org/10.1371/journal. pone.0230404 |
Idioma: |
Inglês |
Conteúdo: |
High-throughput SNP genotyping has become a precondition to move to higher precision and
wider genome coverage genetic analysis of natural and breeding populations of non-model
species. We developed a 44,318 annotated SNP catalog for Araucaria angustifolia, a grandiose subtropical conifer tree, one of the only two native Brazilian gymnosperms, critically endangered due to its valuable wood and seeds. Following transcriptome assembly and annotation,
SNPs were discovered from RNA-seq and pooled RAD-seq data. From the SNP catalog, an
Axiom® SNP array with 3,038 validated SNPs was developed and used to provide a comprehensive look at the genetic diversity and structure of 15 populations across the natural range of
the species. RNA-seq was a far superior source of SNPs when compared to RAD-seq in terms
of conversion rate to polymorphic markers on the array, likely due to the more efficient complexity reduction of the huge conifer genome. By matching microsatellite and SNP data on the
same set of A. angustifolia individuals, we show that SNPs reflect more precisely the actual
genome-wide patterns of genetic diversity and structure, challenging previous microsatellitebased assessments. Moreover, SNPs corroborated the known major north-south genetic
cline, but allowed a more accurate attribution to regional versus among-population differentiation, indicating the potential to select ancestry-informative markers. The availability of a public,
user-friendly 3K SNP array for A. angustifolia and a catalog of 44,318 SNPs predicted to provide ~29,000 informative SNPs across ~20,000 loci across the genome, will allow tackling still
unsettled questions on its evolutionary history, toward a more comprehensive picture of the origin, past dynamics and future trend of the species? genetic resources. Additionally, but not less
importantly, the SNP array described, unlocks the potential to adopt genomic prediction methods to accelerate the still very timid efforts of systematic tree breeding of A. angustifolia. MenosHigh-throughput SNP genotyping has become a precondition to move to higher precision and
wider genome coverage genetic analysis of natural and breeding populations of non-model
species. We developed a 44,318 annotated SNP catalog for Araucaria angustifolia, a grandiose subtropical conifer tree, one of the only two native Brazilian gymnosperms, critically endangered due to its valuable wood and seeds. Following transcriptome assembly and annotation,
SNPs were discovered from RNA-seq and pooled RAD-seq data. From the SNP catalog, an
Axiom® SNP array with 3,038 validated SNPs was developed and used to provide a comprehensive look at the genetic diversity and structure of 15 populations across the natural range of
the species. RNA-seq was a far superior source of SNPs when compared to RAD-seq in terms
of conversion rate to polymorphic markers on the array, likely due to the more efficient complexity reduction of the huge conifer genome. By matching microsatellite and SNP data on the
same set of A. angustifolia individuals, we show that SNPs reflect more precisely the actual
genome-wide patterns of genetic diversity and structure, challenging previous microsatellitebased assessments. Moreover, SNPs corroborated the known major north-south genetic
cline, but allowed a more accurate attribution to regional versus among-population differentiation, indicating the potential to select ancestry-informative markers. The availability of a public,
user-friendly 3K SNP array for A. angustif... Mostrar Tudo |
Thesagro: |
Araucária Angustifólia. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215688/1/journal.pone.0230404.pdf
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Marc: |
LEADER 02778naa a2200205 a 4500 001 2124667 005 2020-09-02 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1371/journal. pone.0230404$2DOI 100 1 $aSILVA, P. I. T. 245 $aA 3K Axiom SNP array from a transcriptomewide SNP resource sheds new light on the genetic diversity and structure of the iconic subtropical conifer tree Araucaria angustifolia (Bert.) Kuntze.$h[electronic resource] 260 $c2020 520 $aHigh-throughput SNP genotyping has become a precondition to move to higher precision and wider genome coverage genetic analysis of natural and breeding populations of non-model species. We developed a 44,318 annotated SNP catalog for Araucaria angustifolia, a grandiose subtropical conifer tree, one of the only two native Brazilian gymnosperms, critically endangered due to its valuable wood and seeds. Following transcriptome assembly and annotation, SNPs were discovered from RNA-seq and pooled RAD-seq data. From the SNP catalog, an Axiom® SNP array with 3,038 validated SNPs was developed and used to provide a comprehensive look at the genetic diversity and structure of 15 populations across the natural range of the species. RNA-seq was a far superior source of SNPs when compared to RAD-seq in terms of conversion rate to polymorphic markers on the array, likely due to the more efficient complexity reduction of the huge conifer genome. By matching microsatellite and SNP data on the same set of A. angustifolia individuals, we show that SNPs reflect more precisely the actual genome-wide patterns of genetic diversity and structure, challenging previous microsatellitebased assessments. Moreover, SNPs corroborated the known major north-south genetic cline, but allowed a more accurate attribution to regional versus among-population differentiation, indicating the potential to select ancestry-informative markers. The availability of a public, user-friendly 3K SNP array for A. angustifolia and a catalog of 44,318 SNPs predicted to provide ~29,000 informative SNPs across ~20,000 loci across the genome, will allow tackling still unsettled questions on its evolutionary history, toward a more comprehensive picture of the origin, past dynamics and future trend of the species? genetic resources. Additionally, but not less importantly, the SNP array described, unlocks the potential to adopt genomic prediction methods to accelerate the still very timid efforts of systematic tree breeding of A. angustifolia. 650 $aAraucária Angustifólia 700 1 $aSILVA JUNIOR, O. B. da 700 1 $aRESENDE, L. V. 700 1 $aSOUSA, V. A. de 700 1 $aAGUIAR, A. V. de 700 1 $aGRATTAPAGLIA, D. 773 $tPLoS ONE$gv. 15, n. 8, e0230404, 2020.
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