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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
26/10/2005 |
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Data da última atualização: |
26/10/2005 |
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Autoria: |
VASCONCELOS, A. T. R.; FERREIRA, H. B.; BIZARRO, C. V.; BONATTO, S. L.; CARVALHO, M. O.; PINTO, P. M.; ALMEIDA, D. F.; ALMEIDA, L. G. P.; ALMEIDA, R.; ALVES-FILHO, L.; ASSUNÇÃO, E. N.; AZEVEDO, V. A. C.; BOGO, M. R.; BRIGIDO, M. M.; BROCCHI, M.; BURITY, H. A.; CAMARGO, A. A.; CAMARGO, S. S.; CAREPO, M. S.; CARRARO, D. M.; CASCARDO, J. C. de M.; CASTRO, L. A.; CAVALCANTI, G.; CHEMALE, G.; COLLEVATTI, R. G.; CUNHA, C. W.; DALLAGIOVANNA, B.; DAMBRÓS, B. P.; DELLAGOSTIN, O. A.; FALCÃO, C.; FANTINATTI-GARBOGGINI, F.; FELIPE, M. S. S.; FIORENTIN, L.; FRANCO, G. R.; FREITAS, N. S. A.; FRÍAS, D.; GRANGEIRO, T. B.; GRISARD, E. C.; GUIMARÃES, C. T.; HUNGRIA, M.; JARDIM, S. N.; KRIEGER, M. A.; LAURINO, J. P.; LIMA, L. F. A.; LOPES, M. I.; LORETO, E. L. S. MADEIRA, H. M. F.; MANFIO, G. P.; MARANHÃO, A. Q.; MARTINKOVICS, C. T.; MEDEIROS, S. R. B.; MOREIRA, M. A. M.; NEIVA, M.; RAMALHO-NETO, C. E.; NICOLÁS, M. F.; OLIVEIRA, S. C.; PAIXÃO, R. F. C.; PEDROSA, F. O.; PENA, S. D. J.; PEREIRA, M.; PEREIRA-FERRARI, L.; PIFFER, I.; PINTO, L. S; POTRICH, D. P.; SALIM, A. C. M.; SANTOS, F. R.; SCHMITT, R.; SCHNEIDER, M. P. C.; SCHRANK, A.; SCHRANK, I. S.; SCHUCK, A. F.; SEUANEZ, H, N.; SILVA, D. W.; SILVA, R.; SILVA, S. C.; SOARES, C. M. A.; SOUZA, K. R.; SOUZA, R. C.; STAATS, C. C.; STEFFENS, M. B. R.; TEIXEIRA, S. M. R.; URMENYI, T. P.; VAINSTEIN, M. H.; ZUCCHERATO, L. W.; SIMPSON, A. J. G.; ZAHA, A. |
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Título: |
Swine and poultry pathogens: the complete genome sequences of two strains of Mycoplasma hyopneumoniae and a strain of Mycoplasma synoviae. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Journal of Bacteriology, Washington, v. 187, n. 16, p. 5568-5577, Aug. 2005. |
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Idioma: |
Inglês |
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Conteúdo: |
This work reports the results of analyses of three complete mycoplasma genomes, a pathogenic (7448) and a nonpathogenic (J) strain of the swine pathogen Mycoplasma hyopneumoniae and a strain of the avian pathogen Mycoplasma synoviae; the genome sizes of the three strains were 920,079 bp, 897,405 bp, and 799,476 bp, respectively. These genomes were compared with other sequenced mycoplasma genomes reported in the literature to examine several aspects of mycoplasma evolution. Strain-specific regions, including integrative and conjugal elements, and genome rearrangements and alterations in adhesin sequences were observed in the M. hyopneumoniae strains, and all of these were potentially related to pathogenicity. Genomic comparisons revealed that reduction in genome size implied loss of redundant metabolic pathways, with maintenance of alternative routes in different species. Horizontal gene transfer was consistently observed between M. synoviae and Mycoplasma gallisepticum. Our analyses indicated a likely transfer event of hemagglutinin-coding DNA sequences from M. gallisepticum to M. synoviae. |
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Thesagro: |
Bactéria; Doença Animal; Genoma; Suíno. |
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Categoria do assunto: |
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Marc: |
LEADER 04306naa a2201177 a 4500
001 1468553
005 2005-10-26
008 2005 bl --- 0-- u #d
100 1 $aVASCONCELOS, A. T. R.
245 $aSwine and poultry pathogens$bthe complete genome sequences of two strains of Mycoplasma hyopneumoniae and a strain of Mycoplasma synoviae.
260 $c2005
520 $aThis work reports the results of analyses of three complete mycoplasma genomes, a pathogenic (7448) and a nonpathogenic (J) strain of the swine pathogen Mycoplasma hyopneumoniae and a strain of the avian pathogen Mycoplasma synoviae; the genome sizes of the three strains were 920,079 bp, 897,405 bp, and 799,476 bp, respectively. These genomes were compared with other sequenced mycoplasma genomes reported in the literature to examine several aspects of mycoplasma evolution. Strain-specific regions, including integrative and conjugal elements, and genome rearrangements and alterations in adhesin sequences were observed in the M. hyopneumoniae strains, and all of these were potentially related to pathogenicity. Genomic comparisons revealed that reduction in genome size implied loss of redundant metabolic pathways, with maintenance of alternative routes in different species. Horizontal gene transfer was consistently observed between M. synoviae and Mycoplasma gallisepticum. Our analyses indicated a likely transfer event of hemagglutinin-coding DNA sequences from M. gallisepticum to M. synoviae.
650 $aBactéria
650 $aDoença Animal
650 $aGenoma
650 $aSuíno
700 1 $aFERREIRA, H. B.
700 1 $aBIZARRO, C. V.
700 1 $aBONATTO, S. L.
700 1 $aCARVALHO, M. O.
700 1 $aPINTO, P. M.
700 1 $aALMEIDA, D. F.
700 1 $aALMEIDA, L. G. P.
700 1 $aALMEIDA, R.
700 1 $aALVES-FILHO, L.
700 1 $aASSUNÇÃO, E. N.
700 1 $aAZEVEDO, V. A. C.
700 1 $aBOGO, M. R.
700 1 $aBRIGIDO, M. M.
700 1 $aBROCCHI, M.
700 1 $aBURITY, H. A.
700 1 $aCAMARGO, A. A.
700 1 $aCAMARGO, S. S.
700 1 $aCAREPO, M. S.
700 1 $aCARRARO, D. M.
700 1 $aCASCARDO, J. C. de M.
700 1 $aCASTRO, L. A.
700 1 $aCAVALCANTI, G.
700 1 $aCHEMALE, G.
700 1 $aCOLLEVATTI, R. G.
700 1 $aCUNHA, C. W.
700 1 $aDALLAGIOVANNA, B.
700 1 $aDAMBRÓS, B. P.
700 1 $aDELLAGOSTIN, O. A.
700 1 $aFALCÃO, C.
700 1 $aFANTINATTI-GARBOGGINI, F.
700 1 $aFELIPE, M. S. S.
700 1 $aFIORENTIN, L.
700 1 $aFRANCO, G. R.
700 1 $aFREITAS, N. S. A.
700 1 $aFRÍAS, D.
700 1 $aGRANGEIRO, T. B.
700 1 $aGRISARD, E. C.
700 1 $aGUIMARÃES, C. T.
700 1 $aHUNGRIA, M.
700 1 $aJARDIM, S. N.
700 1 $aKRIEGER, M. A.
700 1 $aLAURINO, J. P.
700 1 $aLIMA, L. F. A.
700 1 $aLOPES, M. I.
700 1 $aLORETO, E. L. S. MADEIRA, H. M. F.
700 1 $aMANFIO, G. P.
700 1 $aMARANHÃO, A. Q.
700 1 $aMARTINKOVICS, C. T.
700 1 $aMEDEIROS, S. R. B.
700 1 $aMOREIRA, M. A. M.
700 1 $aNEIVA, M.
700 1 $aRAMALHO-NETO, C. E.
700 1 $aNICOLÁS, M. F.
700 1 $aOLIVEIRA, S. C.
700 1 $aPAIXÃO, R. F. C.
700 1 $aPEDROSA, F. O.
700 1 $aPENA, S. D. J.
700 1 $aPEREIRA, M.
700 1 $aPEREIRA-FERRARI, L.
700 1 $aPIFFER, I.
700 1 $aPINTO, L. S
700 1 $aPOTRICH, D. P.
700 1 $aSALIM, A. C. M.
700 1 $aSANTOS, F. R.
700 1 $aSCHMITT, R.
700 1 $aSCHNEIDER, M. P. C.
700 1 $aSCHRANK, A.
700 1 $aSCHRANK, I. S.
700 1 $aSCHUCK, A. F.
700 1 $aSEUANEZ, H, N.
700 1 $aSILVA, D. W.
700 1 $aSILVA, R.
700 1 $aSILVA, S. C.
700 1 $aSOARES, C. M. A.
700 1 $aSOUZA, K. R.
700 1 $aSOUZA, R. C.
700 1 $aSTAATS, C. C.
700 1 $aSTEFFENS, M. B. R.
700 1 $aTEIXEIRA, S. M. R.
700 1 $aURMENYI, T. P.
700 1 $aVAINSTEIN, M. H.
700 1 $aZUCCHERATO, L. W.
700 1 $aSIMPSON, A. J. G.
700 1 $aZAHA, A.
773 $tJournal of Bacteriology, Washington$gv. 187, n. 16, p. 5568-5577, Aug. 2005.
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Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/01/2020 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, D. A.; COSTA, C. N.; SILVA, A. A.; SILVA, H. T.; LOPES, P. S.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. |
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Afiliação: |
CLAUDIO NAPOLIS COSTA, CNPGL. |
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Título: |
Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 137, n. 3, p. 305-315, 2020. |
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DOI: |
https://doi.org/10.1111/jbg.12459 |
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Idioma: |
Inglês |
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Conteúdo: |
Autoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and -0.019 (-0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and -0.022 (-0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder. |
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Palavras-Chave: |
Autoregression; Legendre polynomials; Random regression. |
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Thesaurus NAL: |
Dairy cattle. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02289naa a2200289 a 4500
001 2118639
005 2024-02-06
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/jbg.12459$2DOI
100 1 $aSILVA, D. A.
245 $aAutoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle.$h[electronic resource]
260 $c2020
520 $aAutoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and -0.019 (-0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and -0.022 (-0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder.
650 $aDairy cattle
653 $aAutoregression
653 $aLegendre polynomials
653 $aRandom regression
700 1 $aCOSTA, C. N.
700 1 $aSILVA, A. A.
700 1 $aSILVA, H. T.
700 1 $aLOPES, P. S.
700 1 $aSILVA, F. F.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aAGUILAR, I.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Animal Breeding and Genetics$gv. 137, n. 3, p. 305-315, 2020.
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Embrapa Gado de Leite (CNPGL) |
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