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| Registros recuperados : 42 | |
| 1. |  | SIMÕES, M.; BAHIA, D.; ZERLOTINI, A.; TORRES, K.; ARTIGUENAVE, F.; NESHICH, G.; KUSER, P.; OLIVEIRA, G. Single nucleotide polymorphisms identification in expressed genes of Schistosoma mansoni. Molecular and Biochemical Parasitology, v. 154, p. 134-140, 2007.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 2. | | SILVA, F. R. da; NODA, R. W.; ZERLOTINI, A.; LOBO, F. P.; CARNEIRO, N. P. Counting RNAseq reads: which way is better? In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado. Pôster N101.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
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| 4. | | HONGO, J. A.; CASTRO, G. M. de; CINTRA, L. C.; ZERLOTINI, A.; LOBO, F. P. POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes. BMC Genomics, London, v. 16, n. 1, 567, Aug. 2015.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 5. | | HONGO, J.; CASTRO, G.; SILVA, F.; CINTRA, L.; ZERLOTINI, A.; LOBO, F. POTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | NAGAI, L. A. E.; GIACHETTO, P. F.; CARDOSO, F. F.; ZERLOTINI, A.; KUSER-FALCÃO, P. R. Preliminary analysis of differentially expressed genes involved in meat tenderness in Angus and Nelore beef cattle. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster O10.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | SILVA, L.; MARCET-HOUBEN, M.; NAHUM, L.; ZERLOTINI, A.; GALBADÓN, T.; OLIVEIRA, G. Proteome-wide evolutionary analysis reveals lineage-specific adaptations and improves funtional annotation of Schistosoma mansoni proteins. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | LEPESANT, J. M. J.; COSSEAU, C.; BOISSIER, J.; FREITAG, M.; PORTELA, J.; CLIMENT, D.; PERRIN, C.; ZERLOTINI, A.; GRUNAU, C. Chromatin structural changes around satellite repeats on the female sex chromosome in Schistosoma mansoni and their possible role in sex chromosome emergence. Genome Biology, v. 13, 2012. 15 p.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | GLENN, T. C.; LANCE, S. L.; MCKEE, A. M.; WEBSTER, B. L.; EMERY, A. M.; ZERLOTINI, A.; OLIVEIRA, G.; ROLLINSON, D.; FAIRCLOTH, B. C. Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database. Parasites & Vectors, v. 6, p. 1-12, 2013.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; MARTINELLI, J. A.; KUSER-FALCAO, P. R.; ZERLOTINI, A.; GRANDO, M. F.; STEFANATO, F.; BOYD, L. Genética da resistência de planta adulta à ferrugem da folha em trigo - cultivar Toropi. In: MOSTRA DE INICIAÇÃO CIENTÍFICA, 9.; MOSTRA DE PÓS-GRADUAÇÃO DA EMBRAPA TRIGO, 6., 2014, Passo Fundo. A construção de um cientista!: resumos. Brasília, DF: Embrapa, 2015. p. 53. Orientadora: Sandra Patussi Brammer.| Biblioteca(s): Embrapa Trigo. |
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| 12. | | CARNEIRO, N.; NODA, R.; MAGALHÃES, P.; MENEZES, C.; SCHAFFERT, R.; BARROS, B.; GUIMARÃES, C.; LOBO, F. P.; ZERLOTINI, A.; MAGALHÃES, J. Association of differentially expressed genes with drought tolerant sorghum using computer analysis. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Pôster F52.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
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| 13. | | GERHARDT, I. R.; ZERLOTINI, A.; GIACHETTO, P. F.; SILVA, F. R. da; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ARICETTI, J. A.; GIANOTTO, A. C.; CALDANA, C. Understanding molecular mechanisms of carbon allocation in Eucalyptus. In: INTERNATIONAL CONGRESS OF PLANT MOLECULAR BIOLOGY, 11., 2015, Iguassu Falls. Papers... [S.l.: s.n.], 2015. p. 514. p. 0551. IPMB 2015.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | CINTRA, L. C.; ZERLOTINI, A.; SILVA, F. R. da; LOBO, F. P.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R. K.; GIACHETTO, P. F. Embrapa Bioinformatic Multi-user laboratory. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. Não paginado. Pôster 1017.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; GIACHETTO, P. F.; SILVA, F. R.; LOBO, F. P.; CINTRA, L. C.; ZERLOTINI, A.; HIGA, R.; VIEIRA, F. Embrapa Bioinformatics Multi-Users Laboratory - LMB. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 16. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts... [S.l.: s.n.], 2012. Não paginado. 1 Poster. ISMB 2012. Poster G19. Também publicado em: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado....| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F. P.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts. 1 Pôster. Poster G19.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Florestas. |
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| 18. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; KUSER-FALCÃO, P. R.; ZERLOTINI, A.; STEFANATO, F.; BOYD, L. Wheat transcriptome analysis targeting leaf rust resistance-related genes. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster D03.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | SOUZA, M. M.; ZERLOTINI, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A. L.; MOKRY, F. B.; CESAR, A. S. M.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; REGITANO, L. C. A. Complex pattern of CAST allelic expression in bovine muscle tissue. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 22., 2014, Boston, USA. Program... [Boston]: International Society for Computational Biology, 2014. Não paginado. ISMB 2014. Pôster E13.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 20. | | OLIVEIRA, G.; ROSSE, I.; ASSIS, J.; OLIVEIRA, F.; LEITE, L.; ARAÚJO, F.; SALIM, A.; ZERLOTINI, A.; LOPES, B.; ARBEX, W.; MACHADO, M. A.; PEIXOTO, M. G.; VERNEQUE, R.; MARTINS, M.; COIMBRA, R.; SILVA, M. V.; CARVALHO, M. R. SNPs and INDELs in genes involved in lipid metabolism of mammary gland of Zebu breeds identified by whole genome sequencing. In: ANNUAL INTERNACIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 23.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 14., 2015, Dublin. Posters... [S.l.]: International Society for Computacional Biology, [2015]. Não paginado. ISMB/ECCB 2015. Pôster G28.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 42 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
15/01/2014 |
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Data da última atualização: |
15/01/2014 |
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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: |
GLENN, T. C.; LANCE, S. L.; MCKEE, A. M.; WEBSTER, B. L.; EMERY, A. M.; ZERLOTINI, A.; OLIVEIRA, G.; ROLLINSON, D.; FAIRCLOTH, B. C. |
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Afiliação: |
TRAVIS C. GLENN, University of Georgia; STACEY L. LANCE, University of Georgia; ANNA M. MCKEE, University of Georgia; BONNIE L. WEBSTER, Wolfson Wellcome Biomedical Laboratories, Imperial College Faculty of Medicine (St Mary’s Campus); AIDAN M. EMERY, Wolfson Wellcome Biomedical Laboratories; ADHEMAR ZERLOTINI NETO, Oswaldo Cruz Foundation, CNPTIA; GUILHERME OLIVEIRA, Oswaldo Cruz Foundation; DAVID ROLLINSON, Wolfson Wellcome Biomedical Laboratories; BRANT C. FAIRCLOTH, University of California. |
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Título: |
Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Parasites & Vectors, v. 6, p. 1-12, 2013. |
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DOI: |
10.1186/1756-3305-6-300 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Urogenital schistosomiasis caused by Schistosoma haematobium is widely distributed across Africa and is increasingly being targeted for control. Genome sequences and population genetic parameters can give nsight into the potential for population- or species-level drug resistance. Microsatellite DNA loci are genetic markers in wide use by Schistosoma researchers, but there are few primers available for S. haematobium. Methods: We sequenced 1,058,114 random DNA fragments from clonal cercariae collected from a snail infected with a single Schistosoma haematobium miracidium. We assembled and aligned the S. haematobium sequences to the genomes of S. mansoni and S. japonicum, identifying microsatellite DNA loci across all three species and designing primers to amplify the loci in S. haematobium. To validate our primers, we screened 32 randomly selected primer pairs with population samples of S. haematobium. Results: We designed >13,790 primer pairs to amplify unique microsatellite loci in S. haematobium, (available at http://www.cebio.org/projetos/schistosoma-haematobium-genome). The three Schistosoma genomes contained similar overall frequencies of microsatellites, but the frequency and length distributions of specific motifs differed among species. We identified 15 primer pairs that amplified consistently and were easily scored. We genotyped these 15 loci in S. haematobium individuals from six locations: Zanzibar had the highest levels of diversity; Malawi, Mauritius, Nigeria, and Senegal were nearly as diverse; but the sample from South Africa was much less diverse. Conclusions: About half of the primers in the database of Schistosoma haematobium microsatellite DNA loci should yield amplifiable and easily scored polymorphic markers, thus providing thousands of potential markers. Sequence conservation among S. haematobium, S. japonicum, and S. mansoni is relatively high, thus it should now be possible to identify markers that are universal among Schistosoma species (i.e., using DNA sequences conserved among species), as well as other markers that are specific to species or species-groups (i.e., using DNA sequences that differ among species). Full genome-sequencing of additional species and specimens of S. haematobium, S. aponicum, and S. mansoni is desirable to better characterize differences within and among these species, to develop additional genetic markers, and to examine genes as well as conserved non-coding elements associated with drug resistance. MenosBackground: Urogenital schistosomiasis caused by Schistosoma haematobium is widely distributed across Africa and is increasingly being targeted for control. Genome sequences and population genetic parameters can give nsight into the potential for population- or species-level drug resistance. Microsatellite DNA loci are genetic markers in wide use by Schistosoma researchers, but there are few primers available for S. haematobium. Methods: We sequenced 1,058,114 random DNA fragments from clonal cercariae collected from a snail infected with a single Schistosoma haematobium miracidium. We assembled and aligned the S. haematobium sequences to the genomes of S. mansoni and S. japonicum, identifying microsatellite DNA loci across all three species and designing primers to amplify the loci in S. haematobium. To validate our primers, we screened 32 randomly selected primer pairs with population samples of S. haematobium. Results: We designed >13,790 primer pairs to amplify unique microsatellite loci in S. haematobium, (available at http://www.cebio.org/projetos/schistosoma-haematobium-genome). The three Schistosoma genomes contained similar overall frequencies of microsatellites, but the frequency and length distributions of specific motifs differed among species. We identified 15 primer pairs that amplified consistently and were easily scored. We genotyped these 15 loci in S. haematobium individuals from six locations: Zanzibar had the highest levels of diversity; Malawi, Mauritius... Mostrar Tudo |
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Palavras-Chave: |
Esquistossomose urogenital; Microssatélites. |
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Thesagro: |
Genética. |
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Thesaurus NAL: |
Genetics; Microsatellite repeats; Schistosoma haematobium; Schistosomiasis. |
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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/95291/1/Significant.pdf
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Marc: |
LEADER 03473naa a2200313 a 4500
001 1976133
005 2014-01-15
008 2013 bl uuuu u00u1 u #d
024 7 $a10.1186/1756-3305-6-300$2DOI
100 1 $aGLENN, T. C.
245 $aSignificant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database.$h[electronic resource]
260 $c2013
520 $aBackground: Urogenital schistosomiasis caused by Schistosoma haematobium is widely distributed across Africa and is increasingly being targeted for control. Genome sequences and population genetic parameters can give nsight into the potential for population- or species-level drug resistance. Microsatellite DNA loci are genetic markers in wide use by Schistosoma researchers, but there are few primers available for S. haematobium. Methods: We sequenced 1,058,114 random DNA fragments from clonal cercariae collected from a snail infected with a single Schistosoma haematobium miracidium. We assembled and aligned the S. haematobium sequences to the genomes of S. mansoni and S. japonicum, identifying microsatellite DNA loci across all three species and designing primers to amplify the loci in S. haematobium. To validate our primers, we screened 32 randomly selected primer pairs with population samples of S. haematobium. Results: We designed >13,790 primer pairs to amplify unique microsatellite loci in S. haematobium, (available at http://www.cebio.org/projetos/schistosoma-haematobium-genome). The three Schistosoma genomes contained similar overall frequencies of microsatellites, but the frequency and length distributions of specific motifs differed among species. We identified 15 primer pairs that amplified consistently and were easily scored. We genotyped these 15 loci in S. haematobium individuals from six locations: Zanzibar had the highest levels of diversity; Malawi, Mauritius, Nigeria, and Senegal were nearly as diverse; but the sample from South Africa was much less diverse. Conclusions: About half of the primers in the database of Schistosoma haematobium microsatellite DNA loci should yield amplifiable and easily scored polymorphic markers, thus providing thousands of potential markers. Sequence conservation among S. haematobium, S. japonicum, and S. mansoni is relatively high, thus it should now be possible to identify markers that are universal among Schistosoma species (i.e., using DNA sequences conserved among species), as well as other markers that are specific to species or species-groups (i.e., using DNA sequences that differ among species). Full genome-sequencing of additional species and specimens of S. haematobium, S. aponicum, and S. mansoni is desirable to better characterize differences within and among these species, to develop additional genetic markers, and to examine genes as well as conserved non-coding elements associated with drug resistance.
650 $aGenetics
650 $aMicrosatellite repeats
650 $aSchistosoma haematobium
650 $aSchistosomiasis
650 $aGenética
653 $aEsquistossomose urogenital
653 $aMicrossatélites
700 1 $aLANCE, S. L.
700 1 $aMCKEE, A. M.
700 1 $aWEBSTER, B. L.
700 1 $aEMERY, A. M.
700 1 $aZERLOTINI, A.
700 1 $aOLIVEIRA, G.
700 1 $aROLLINSON, D.
700 1 $aFAIRCLOTH, B. C.
773 $tParasites & Vectors$gv. 6, p. 1-12, 2013.
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Embrapa Agricultura Digital (CNPTIA) |
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