| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Café. |
|
Data corrente: |
18/10/2019 |
|
Data da última atualização: |
21/10/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
FAVORETTO, P.; SILVA, C. C. da; TAVARES, A. G.; GIATTI, G.; MORAES, P. F.; LOBATO, M. T. V.; SILVAROLLA, M. B.; OLIVEIRO FILHO, G.; MALUF, M. P. |
|
Afiliação: |
Patrícia Favoretto, Instituto Agronômico de Campinas - IAC; Carla Cristina da Silva, Molecular Biology and Genetic Engineering Center/UNICAMP; Aline Gomes Tavares, Instituto Agronômico de Campinas - IAC; Gabriela Giatti, Instituto Agronômico de Campinas - IAC; Patrícia Favoretto Moraes, Instituto Agronômico de Campinas - IAC; Mary Tulia Vargas Lobato, Instituto Agronômico de Campinas - IAC; Maria Bernadete Silvarolla, Instituto Agronômico de Campinas - IAC; Guerreiro Oliveiro Filho, Instituto Agronômico de Campinas - IAC; MIRIAN PEREZ MALUF, CNPCa. |
|
Título: |
Assisted-selection of naturally caffeine-free coffee cultivars-characterization of SNPs from a methyltransferase gene. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
Molecular Breeding, v. 37, n. 31, 2017. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Breeding of caffeine-free coffee cultivars require tools for an early selection of progenies bearing this later trait. Genes from caffeine synthesis and degradation represent major targets for the development of molecular markers for assisted selection. In this study, we characterized SNPs identified on the caffeine synthase gene from AC1 mutant, a naturally caffeine-free arabica coffee plant. Molecular analysis of normal and mutant sequences indicates the occurrence of SNPs in protein domains, potentially associated with caffeine synthesis in coffee. Progenies F2, F1BC1 and BC from crosses of AC mutants and elite cultivars were evaluated regarding caffeine content in grains and genomic segregation profile of selected SNPs. Genotyping analysis allowed the discrimination between homozygous and heterozygous plants. Quantification of caffeine content indicated a significant variability among progenies and a low frequency of caffeine-free plants. Statistical analyses of genotyping and phenotyping results showed significant association between presence of selected SNPs and reduced caffeine content. Moreover, this association occurs through all evaluated genetic backgrounds and generations, indicating an inheritance stability of both trait and markers. The molecular markers described here represent a successful case of assistedselection in coffee, indicating their potential use for breeding of caffeine-free cultivars. |
|
Palavras-Chave: |
Caffeine content; Caffeine synthase; Coffee; Molecular markers. |
|
Thesagro: |
Cafeína; Marcador Molecular. |
|
Thesaurus Nal: |
Marker-assisted selection. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/203205/1/Assisted-selecction-of-naturally.pdf
|
|
Marc: |
LEADER 02316naa a2200301 a 4500
001 2113244
005 2019-10-21
008 2017 bl uuuu u00u1 u #d
100 1 $aFAVORETTO, P.
245 $aAssisted-selection of naturally caffeine-free coffee cultivars-characterization of SNPs from a methyltransferase gene.$h[electronic resource]
260 $c2017
520 $aBreeding of caffeine-free coffee cultivars require tools for an early selection of progenies bearing this later trait. Genes from caffeine synthesis and degradation represent major targets for the development of molecular markers for assisted selection. In this study, we characterized SNPs identified on the caffeine synthase gene from AC1 mutant, a naturally caffeine-free arabica coffee plant. Molecular analysis of normal and mutant sequences indicates the occurrence of SNPs in protein domains, potentially associated with caffeine synthesis in coffee. Progenies F2, F1BC1 and BC from crosses of AC mutants and elite cultivars were evaluated regarding caffeine content in grains and genomic segregation profile of selected SNPs. Genotyping analysis allowed the discrimination between homozygous and heterozygous plants. Quantification of caffeine content indicated a significant variability among progenies and a low frequency of caffeine-free plants. Statistical analyses of genotyping and phenotyping results showed significant association between presence of selected SNPs and reduced caffeine content. Moreover, this association occurs through all evaluated genetic backgrounds and generations, indicating an inheritance stability of both trait and markers. The molecular markers described here represent a successful case of assistedselection in coffee, indicating their potential use for breeding of caffeine-free cultivars.
650 $aMarker-assisted selection
650 $aCafeína
650 $aMarcador Molecular
653 $aCaffeine content
653 $aCaffeine synthase
653 $aCoffee
653 $aMolecular markers
700 1 $aSILVA, C. C. da
700 1 $aTAVARES, A. G.
700 1 $aGIATTI, G.
700 1 $aMORAES, P. F.
700 1 $aLOBATO, M. T. V.
700 1 $aSILVAROLLA, M. B.
700 1 $aOLIVEIRO FILHO, G.
700 1 $aMALUF, M. P.
773 $tMolecular Breeding$gv. 37, n. 31, 2017.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
14/07/2017 |
|
Data da última atualização: |
03/01/2018 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
GOIS, I. B.; BORÉM, A.; CRISTOFANI-YALY, M.; RESENDE, M. D. V. de; AZEVEDO, C. F.; BASTIANEL, M.; NOVELLI, V. M.; MACHADO, M. A. |
|
Afiliação: |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. |
|
Título: |
Genome wide selection in citrus breeding. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. |
|
DOI: |
http://dx.doi.org/10.4238/gmr15048863 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. MenosGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citr... Mostrar Tudo |
|
Palavras-Chave: |
DarT_seq; Molecular markers; Seleção precoce; Selective accuracy. |
|
Thesagro: |
Fruta cítrica; Marcador Molecular; Melhoramento vegetal. |
|
Thesaurus NAL: |
Citrus; early selection; linkage disequilibrium; Plant breeding. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161818/1/2016-M.Deon-GMR-Genome.pdf
|
|
Marc: |
LEADER 02672naa a2200349 a 4500
001 2072713
005 2018-01-03
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr15048863$2DOI
100 1 $aGOIS, I. B.
245 $aGenome wide selection in citrus breeding.$h[electronic resource]
260 $c2016
520 $aGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.
650 $aCitrus
650 $aearly selection
650 $alinkage disequilibrium
650 $aPlant breeding
650 $aFruta cítrica
650 $aMarcador Molecular
650 $aMelhoramento vegetal
653 $aDarT_seq
653 $aMolecular markers
653 $aSeleção precoce
653 $aSelective accuracy
700 1 $aBORÉM, A.
700 1 $aCRISTOFANI-YALY, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aBASTIANEL, M.
700 1 $aNOVELLI, V. M.
700 1 $aMACHADO, M. A.
773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr15048863, Oct. 2016.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
|
|
