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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/04/2017 |
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Data da última atualização: |
06/04/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MCCOUCH, S. R.; WRIGHT, M. H.; TUNG, C.-W.; MARON, L. G.; MCNALLY, K. L.; FITZGERALD, M.; DECLERCK, G.; AGOSTO-PEREZ, F.; KORNILIEV, P.; GREENBERG, A. J.; NAREDO, M. E. B.; MERCADO, S. M. Q.; HARRINGTON, S. E.; SHI, Y.; BRANCHINI, D. A.; FALCAO, P. R. K.; LEUNG, H.; EBANA, K.; YANO, M.; EIZENGA, G.; SINGH, N.; MCCLUNG, A.; MEZEY, J. |
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Afiliação: |
SUSAN R. MCCOUCH, Cornell University, Ithaca; MARK H. WRIGHT, Cornell University, Ithaca; CHIH-WEI TUNG, Cornell University, Ithaca; LYZA G. MARON, Cornell University, Ithaca; KENNETH L. MCNALLY, IRRI; MELISSA FITZGERALD, IRRI; GENEVIEVE DECLERCK, Cornell University, Ithaca; FRANCISCO AGOSTO-PEREZ, Cornell University, Ithaca; PAVEL KORNILIEV, Cornell University, Ithaca; ANTHONY J. GREENBERG, Cornell University, Ithaca; MA. ELIZABETH B. NAREDO, IRRI; SHEILA MAE Q. MERCADO, IRRI; SANDRA E. HARRINGTON, Cornell University, Ithaca; YUXIN SHI, Cornell University, Ithaca; DARCY A. BRANCHINI, Cornell University, Ithaca; PAULA REGINA KUSER FALCAO, CNPTIA; HEI LEUNG, IRRI; KOWARU EBANA, IRRI; MASAHIRO YANO, National Institute of Agrobiological Sciences; GEORGIA EIZENGA, USDA–ARS; NAMRATA SINGH, Cornell University, Ithaca; ANNA MCCLUNG, USDA–ARS; JASON MEZEY, Cornell University, Ithaca. |
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Título: |
Open access resources for genome-wide association mapping in rice. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Nature Communications, p. 1-13, Feb, 2016. |
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DOI: |
10.1038/ncomms10532 |
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Idioma: |
Inglês |
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Notas: |
Article number:10532. |
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Conteúdo: |
Increasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement. |
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Palavras-Chave: |
Biologia computacional; Dados genótipicos. |
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Thesagro: |
Genoma. |
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Thesaurus Nal: |
Alleles; Bioinformatics; Chromosome mapping; genes; Genetic improvement; Genetic resources; Genome. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/158621/1/open-access.pdf
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Marc: |
LEADER 02400naa a2200529 a 4500
001 2068128
005 2017-04-06
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1038/ncomms10532$2DOI
100 1 $aMCCOUCH, S. R.
245 $aOpen access resources for genome-wide association mapping in rice.$h[electronic resource]
260 $c2016
500 $aArticle number:10532.
520 $aIncreasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.
650 $aAlleles
650 $aBioinformatics
650 $aChromosome mapping
650 $agenes
650 $aGenetic improvement
650 $aGenetic resources
650 $aGenome
650 $aGenoma
653 $aBiologia computacional
653 $aDados genótipicos
700 1 $aWRIGHT, M. H.
700 1 $aTUNG, C.-W.
700 1 $aMARON, L. G.
700 1 $aMCNALLY, K. L.
700 1 $aFITZGERALD, M.
700 1 $aDECLERCK, G.
700 1 $aAGOSTO-PEREZ, F.
700 1 $aKORNILIEV, P.
700 1 $aGREENBERG, A. J.
700 1 $aNAREDO, M. E. B.
700 1 $aMERCADO, S. M. Q.
700 1 $aHARRINGTON, S. E.
700 1 $aSHI, Y.
700 1 $aBRANCHINI, D. A.
700 1 $aFALCAO, P. R. K.
700 1 $aLEUNG, H.
700 1 $aEBANA, K.
700 1 $aYANO, M.
700 1 $aEIZENGA, G.
700 1 $aSINGH, N.
700 1 $aMCCLUNG, A.
700 1 $aMEZEY, J.
773 $tNature Communications, p. 1-13, Feb, 2016.
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Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
09/01/2023 |
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Data da última atualização: |
09/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, L. de F.; ALKIMIM, E. R.; BARREIRO, P. R. R. M.; LEICHTWEIS, B. G.; SILVA, A. C. A.; SILVA, R. A. da; SOUSA, T. V.; NASCIMENTO, M.; CAIXETA, E. T. |
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Afiliação: |
LETÍCIA DE FARIA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; EMILLY RUAS ALKIMIM, UNIVERSIDADE FEDERAL TRIÂNGULO MINEIRO; PEDRO RICARDO ROSSI MARQUES BARREIRO, UNIVERSIDADE FEDERAL DE VIÇOSA; BRUNO GRESPAN LEICHTWEIS, UNIVERSIDADE FEDERAL DE VIÇOSA; ANA CAROLINA ANDRADE SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; RUANE ALICE DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; TIAGO VIEIRA SOUSA, INSTITUTO FEDERAL DO TRIÂNGULO MINEIRO; MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa. |
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Título: |
Genome-wide association study of plant architecture and diseases resistance in Coffea canephora. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Euphytica, v. 218, jun. 2022. |
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Páginas: |
13 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Genome wide association studies (GWAS) have been traditionally used for the identification and comprehension of loci associate with phenotypic variation and identification of markers useful in genetic breeding programs. The GWAS was used in this work to identify chromosomal regions with significant associations with the main agronomic trait of Coffea canephora. The studied population comprised 165 clones of the two varietal groups Conilon and Robusta and intervarietal hybrids from crosses between these groups. Coffee trees were genotyped using 17 885 single nucleotide polymorphisms (SNP) markers distributed throughout the genome and phenotyped with eight morpho agronomic traits. Significant SNPs were found associated with plant height, diameter of the canopy projection, vegetative vigor, rust incidence, and cercosporiosis incidence. SNP marker distribution was quite uniform, with few gaps in the centromeric regions, with 27.72% and 9.09% present in intergenic and coding regions, respectively; the latter led to 70% amino acid exchanges and 30% silent mutations. Candidate genes, in which SNP markers were inserted, were identified and their function was related to traits of plant architecture and coffee diseases resistance. SNPs with significant associations were found in all chromosomes of the species, especially in chromosomes 0, 2, 6, 9, and 11. This methodology was efficient in C. canephora populations and helped identify several SNPs in candidate genes involved in important biological processes of coffee. Therefore, these SNPs can be used as strategies to accelerate the coffee breeding program through molecular marker assisted selection. MenosGenome wide association studies (GWAS) have been traditionally used for the identification and comprehension of loci associate with phenotypic variation and identification of markers useful in genetic breeding programs. The GWAS was used in this work to identify chromosomal regions with significant associations with the main agronomic trait of Coffea canephora. The studied population comprised 165 clones of the two varietal groups Conilon and Robusta and intervarietal hybrids from crosses between these groups. Coffee trees were genotyped using 17 885 single nucleotide polymorphisms (SNP) markers distributed throughout the genome and phenotyped with eight morpho agronomic traits. Significant SNPs were found associated with plant height, diameter of the canopy projection, vegetative vigor, rust incidence, and cercosporiosis incidence. SNP marker distribution was quite uniform, with few gaps in the centromeric regions, with 27.72% and 9.09% present in intergenic and coding regions, respectively; the latter led to 70% amino acid exchanges and 30% silent mutations. Candidate genes, in which SNP markers were inserted, were identified and their function was related to traits of plant architecture and coffee diseases resistance. SNPs with significant associations were found in all chromosomes of the species, especially in chromosomes 0, 2, 6, 9, and 11. This methodology was efficient in C. canephora populations and helped identify several SNPs in candidate genes involved in importan... Mostrar Tudo |
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Thesagro: |
Coffea Canephora. |
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Thesaurus NAL: |
Disease resistance; Phenotypic variation; Plant breeding. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02457naa a2200277 a 4500
001 2150796
005 2023-01-09
008 2022 bl uuuu u00u1 u #d
100 1 $aSILVA, L. de F.
245 $aGenome-wide association study of plant architecture and diseases resistance in Coffea canephora.$h[electronic resource]
260 $c2022
300 $a13 p.
520 $aGenome wide association studies (GWAS) have been traditionally used for the identification and comprehension of loci associate with phenotypic variation and identification of markers useful in genetic breeding programs. The GWAS was used in this work to identify chromosomal regions with significant associations with the main agronomic trait of Coffea canephora. The studied population comprised 165 clones of the two varietal groups Conilon and Robusta and intervarietal hybrids from crosses between these groups. Coffee trees were genotyped using 17 885 single nucleotide polymorphisms (SNP) markers distributed throughout the genome and phenotyped with eight morpho agronomic traits. Significant SNPs were found associated with plant height, diameter of the canopy projection, vegetative vigor, rust incidence, and cercosporiosis incidence. SNP marker distribution was quite uniform, with few gaps in the centromeric regions, with 27.72% and 9.09% present in intergenic and coding regions, respectively; the latter led to 70% amino acid exchanges and 30% silent mutations. Candidate genes, in which SNP markers were inserted, were identified and their function was related to traits of plant architecture and coffee diseases resistance. SNPs with significant associations were found in all chromosomes of the species, especially in chromosomes 0, 2, 6, 9, and 11. This methodology was efficient in C. canephora populations and helped identify several SNPs in candidate genes involved in important biological processes of coffee. Therefore, these SNPs can be used as strategies to accelerate the coffee breeding program through molecular marker assisted selection.
650 $aDisease resistance
650 $aPhenotypic variation
650 $aPlant breeding
650 $aCoffea Canephora
700 1 $aALKIMIM, E. R.
700 1 $aBARREIRO, P. R. R. M.
700 1 $aLEICHTWEIS, B. G.
700 1 $aSILVA, A. C. A.
700 1 $aSILVA, R. A. da
700 1 $aSOUSA, T. V.
700 1 $aNASCIMENTO, M.
700 1 $aCAIXETA, E. T.
773 $tEuphytica$gv. 218, jun. 2022.
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