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Registro Completo |
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
23/02/2016 |
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Data da última atualização: |
23/02/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LOBO, F. P.; CINTRA, L. C.; VARELA, E. S.; ALVES, A. L.; VILLELA, L. C. V.; SILVA, N. M. A. da; PAIVA, S. R.; CAETANO, A. R. |
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Afiliação: |
FRANCISCO PEREIRA LOBO, CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; EDUARDO SOUSA VARELA, CNPASA; ANDERSON LUIS ALVES, CNPASA; LUCIANA CRISTINE VASQUES VILLELA, UnB; NAIARA MILAGRES AUGUSTO DA SILVA, CENARGEN; SAMUEL REZENDE PAIVA, SRI; ALEXANDRE RODRIGUES CAETANO, CENARGEN. |
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Título: |
de novo genome assembly of the South American freshwater fish Tambaqui (Colossoma macropomum). |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. |
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Páginas: |
não paginado. |
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Idioma: |
Inglês |
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Notas: |
Pôster P0231. |
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Conteúdo: |
The Tambaqui (Colossoma macropomum) is a freshwater fish species naturally found in the Amazon river basin which has historically been widely exploited by community and commercial fishing. Recent efforts to domesticate, breed and raise the species in aquaculture systems has led to significant increases in production (>10-fold) over the last ten years. Current production is above 120,000 metric tons per year with a strong growth trend, making it the most important native aquaculture species in Brazil. Data for generating the draft assembly were produced from shotgun libraries with two different insert sizes and mate-paired libraries with four different sizes sequenced (2x150bps) with Illumina HiSeq2000 technology. A total of 124.8Gbp quality-filtered nucleotides were sequenced which amount to 85x mean genome coverage, considering previously published information (C-value = 1,5pg = 1.467Gbp). Sequence assembly was performed with SOAPdenovo and generated 8.924 scaffolds spanning 1.54 Gbp (N50: 2,041,733bp (162 scaffolds), N90: 200,945bp (1009 scaffolds), ~500Mbp of unmapped nucleotides). Gene model prediction is underway with MAKER2 using as extrinsic evidence protein and EST data from phylogenetically related taxa. This represents the first report of a draft genome sequence for this species and will be a valuable source of information for marker detection/selection, genetic improvement, conservation and basic biology studies in this species. |
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Palavras-Chave: |
Sequência genômica. |
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Thesagro: |
Colossoma Macropomum; Tambaqui. |
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Thesaurus Nal: |
Genome assembly; Sequence analysis. |
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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/122093/1/P0231.pdf
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Marc: |
LEADER 02353naa a2200289 a 4500
001 2038250
005 2016-02-23
008 2015 bl uuuu u00u1 u #d
100 1 $aLOBO, F. P.
245 $ade novo genome assembly of the South American freshwater fish Tambaqui (Colossoma macropomum).$h[electronic resource]
260 $c2015
300 $anão paginado.
500 $aPôster P0231.
520 $aThe Tambaqui (Colossoma macropomum) is a freshwater fish species naturally found in the Amazon river basin which has historically been widely exploited by community and commercial fishing. Recent efforts to domesticate, breed and raise the species in aquaculture systems has led to significant increases in production (>10-fold) over the last ten years. Current production is above 120,000 metric tons per year with a strong growth trend, making it the most important native aquaculture species in Brazil. Data for generating the draft assembly were produced from shotgun libraries with two different insert sizes and mate-paired libraries with four different sizes sequenced (2x150bps) with Illumina HiSeq2000 technology. A total of 124.8Gbp quality-filtered nucleotides were sequenced which amount to 85x mean genome coverage, considering previously published information (C-value = 1,5pg = 1.467Gbp). Sequence assembly was performed with SOAPdenovo and generated 8.924 scaffolds spanning 1.54 Gbp (N50: 2,041,733bp (162 scaffolds), N90: 200,945bp (1009 scaffolds), ~500Mbp of unmapped nucleotides). Gene model prediction is underway with MAKER2 using as extrinsic evidence protein and EST data from phylogenetically related taxa. This represents the first report of a draft genome sequence for this species and will be a valuable source of information for marker detection/selection, genetic improvement, conservation and basic biology studies in this species.
650 $aGenome assembly
650 $aSequence analysis
650 $aColossoma Macropomum
650 $aTambaqui
653 $aSequência genômica
700 1 $aCINTRA, L. C.
700 1 $aVARELA, E. S.
700 1 $aALVES, A. L.
700 1 $aVILLELA, L. C. V.
700 1 $aSILVA, N. M. A. da
700 1 $aPAIVA, S. R.
700 1 $aCAETANO, A. R.
773 $tIn: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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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; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
10/01/2023 |
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Data da última atualização: |
11/07/2023 |
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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: |
ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. |
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Afiliação: |
REGIANE ABJAUD ESTOPA, FORESTRY R&D - KLABIN S.A; JOÃO GABRIEL ZANON PALUDETO, FORESTRY R&D - KLABIN S.A; BÁRBARA SALOMÃO FARIA MÜLLER, UNIVERSITY OF FLORIDA; RICARDO AUGUSTO DE OLIVEIRA, UNIVERSIDADE FEDERAL DE VIÇOSA; CAMILA FERREIRA AZEVEDO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCOS DEON VILELA DE RESENDE, CNPCa; EVANDRO VAGNER TAMBARUSSI, UNIVERSIDADE ESTADUAL DO CENTRO-OESTE; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
New Forests, 54, 2023. |
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DOI: |
https://doi.org/10.1007/s11056-022-09924-y |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions. MenosGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density mult... Mostrar Tudo |
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Thesaurus NAL: |
Eucalyptus benthamii; Genomics; Genotyping; Wood quality. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02502naa a2200265 a 4500
001 2150837
005 2023-07-11
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11056-022-09924-y$2DOI
100 1 $aESTOPA, R. A.
245 $aGenomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density.$h[electronic resource]
260 $c2023
520 $aGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions.
650 $aEucalyptus benthamii
650 $aGenomics
650 $aGenotyping
650 $aWood quality
700 1 $aPALUDETO, J. G. Z.
700 1 $aMÜLLER, B. S. F.
700 1 $aOLIVEIRA, R. A. de
700 1 $aAZEVEDO, C. F.
700 1 $aRESENDE, M. D. V. de
700 1 $aTAMBARUSSI, E. V.
700 1 $aGRATTAPAGLIA, D.
773 $tNew Forests, 54, 2023.
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