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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
09/03/2015 |
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Data da última atualização: |
28/01/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CARVALHO, M. C. C. G. de; NASCIMENTO, L. C.; POLIZEL-PODANOSQUI, A. M.; ROCHA, C. S.; DARBEN, L. M.; LOPES-CAITAR, V. S.; CARAZZOLLE, M. F.; OLIVEIRA, M. L. C. S.; ABDELNOOR, R. V.; MARCELINO-GUIMARÃES, F. C. |
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Afiliação: |
UENP; UNICAMP; UNICAMP; UNESP; RICARDO VILELA ABDELNOOR, CNPSO; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO. |
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Título: |
The transcriptome interactions between Phakopsora pachykopsora pachyrhizi-soybean. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 47.; SIMPÓSIO BRASILEIRO DE MOFO BRANCO, 2014, Londrina. Desafios futuros: anais. Londrina: SBF, 2014. 1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
The soybean rust caused by the fungus Phakopsora pachyrhizi, has caused serious damage to soybean culture since 2001 in Brazil. Several sources of rust resistance have already been identified; however no cultivar has shown stable resistance to rust. Plants are commonly infected by one or more strains of the fungus causing the breakdown of resistance acquired with the introduction of only one or a few resistance genes. In the last years, different study strategies have allowed the simultaneous monitoring of gene expression in plant-pathogen interaction, broadening our understanding of the molecular mechanisms underlying compatibility and incompatibility responses of soybean to P. pachyrhizi creating new perspectives for the development of a more durable resistance. In this work, we used laser capture microdissection (LCM) to isolate the foliar mesophyll cells of rust infection sites and access site specific processes and regulators in tolerant (compatible interaction) (BRS231) and resistant (incompatible interaction) (PI561356) soybean genotypes. RNA was extracted from the isolated cells, amplified, and sequenced with Solexa plataform. The generated paired-end sequences (54 bp) were mapped to the soybean genome and gene models (http://www.phytozome.net) for the identification of expressed genes and splicing variants. A total of 28,572 and 30,743 genes (RPKM>3) were identified for BRS231 and PI561356, respectively. The remaining reads were used to perform an ab initio assembly of P. pachyrhizi transcripts expressed at 10 dpi in planta. To improve the quality of assembly, P. pachyrhizi sequences from Sanger sequencing reads available at NCBI were trimmed and assembled into contigs and singlets. The two assemblies were merged to form PPGC1.0 comprising 36,350 unique P. pachyrhizi sequences (unisequences) expressed at 10 dpi in planta. By combining LCM with a high performance sequencing (RNA-seq) we were able to access the expression profile of a large number of genes in rust infection sites, including those related to the fungal invasion, and access new transcripts involved in soybean-rust interaction in both, compatible and incompatible interaction. Among the genes identified, the 100 soybean most expressed transcripts (RPKM) in PI561356 and BRS231 rust infection sites were stress-induced genes like cystein proteases, metallothioneins, transcription factors and genes related to protein degradation. Functional annotation of P. pachyrhizi expressed genes was done using the Blast2GO tool resulting in 3,976 transcripts associated with Gene Ontology (GO) terms, and 2,902 to biological process ontology. Biological process ontology was mainly represented by three classes of parent terms: cellular component organization or biogenesis, localization and cellular process. In the last one, two terms: response to stimulus and metabolic process were the most enriched biological process categories. Phakopsora pachyrhizi metabolic processes were strongly represented by sequences with probable function in glycogen and lipid catabolism (debranching enzymes), carbohydrate metabolism (invertases, mannitol dehydrogenases) and nitrogen metabolism (trehalose 6-phosphate synthase). Among sequences associated to response to stimulus were a great number of GO terms also linked to the symbiosis, encompassing mutualism through parasitism term (GO:0044403) including proteins involved in nucleotide binding and DNA metabolic process (nucleases and response to DNA damage stimulus), thiamin metabolic process, proteolysis, response to reactive oxygen species, GTPase mediated signal transduction, inositol-lipid mediated signaling and calmodulin signaling. Using a combination of approaches based on Blast similarities against local databases and an initio prediction, we generated a list of 905 putative secreted proteins from the total of 36,350 unique P. pachyrhizi unisequences. To identify a set of candidate P. pachyrhizi effectors, we grouped the predicted secretome into tribes or families to find those unisequences associated to expanded families. Of the 100 tribes formed, 50 of them contained more than three unisequences. A list of the 169 unisequences were obtained, that combine defining features to be common between effectors, such as small open reading frame ORF size (<250aa), no intracellular function described, enrichement of cystein residues (>3%), and presence of the previously described Y/F/WxC motif. These characteristics are mostly observed among the members of tribes 1, 2 and 17. A temporal expression of 58 candidate effector genes was characterized from spores, germinated spores and infected soybean leaves at 0, 6, 12, 24, 36, 48, 72, 96, 192 and 240 hours after inoculation (hai) using RT-qPCR. Expression analysis showed differential temporal gene expression of these candidate effectors. Heat map analysis revealed three main clusters with coordinated expression of candidates across the infection cycle. The first has candidates expressed in specific steps of infection and almost sequences have motifs common of the effectors as Y/F/WxC. Second cluster has candidates expressed during initial steps of infection that matches germ tube and appressoria formation (0 ? 24 hai) and almost sequences have ?3 cysteine residues, other common features of the effectors. Third cluster has candidates expressed only in contact with the host, suggesting that these candidates are host-induced. This last cluster has a sequence with CFEM domain associated with pathogenicity. Functional analyses are in progress with more promising candidates effectors from second and third cluster to better understand this potential effectors in soybean rust. MenosThe soybean rust caused by the fungus Phakopsora pachyrhizi, has caused serious damage to soybean culture since 2001 in Brazil. Several sources of rust resistance have already been identified; however no cultivar has shown stable resistance to rust. Plants are commonly infected by one or more strains of the fungus causing the breakdown of resistance acquired with the introduction of only one or a few resistance genes. In the last years, different study strategies have allowed the simultaneous monitoring of gene expression in plant-pathogen interaction, broadening our understanding of the molecular mechanisms underlying compatibility and incompatibility responses of soybean to P. pachyrhizi creating new perspectives for the development of a more durable resistance. In this work, we used laser capture microdissection (LCM) to isolate the foliar mesophyll cells of rust infection sites and access site specific processes and regulators in tolerant (compatible interaction) (BRS231) and resistant (incompatible interaction) (PI561356) soybean genotypes. RNA was extracted from the isolated cells, amplified, and sequenced with Solexa plataform. The generated paired-end sequences (54 bp) were mapped to the soybean genome and gene models (http://www.phytozome.net) for the identification of expressed genes and splicing variants. A total of 28,572 and 30,743 genes (RPKM>3) were identified for BRS231 and PI561356, respectively. The remaining reads were used to perform an ab initio assembly... Mostrar Tudo |
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Thesagro: |
Doença de Planta; Ferrugem; Soja. |
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Thesaurus Nal: |
Plant diseases and disorders; Soybean rust; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/119824/1/PALESTRA18.pdf
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Marc: |
LEADER 06688nam a2200289 a 4500
001 2010927
005 2019-01-28
008 2014 bl uuuu u00u1 u #d
100 1 $aCARVALHO, M. C. C. G. de
245 $aThe transcriptome interactions between Phakopsora pachykopsora pachyrhizi-soybean.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 47.; SIMPÓSIO BRASILEIRO DE MOFO BRANCO, 2014, Londrina. Desafios futuros: anais. Londrina: SBF, 2014. 1 CD-ROM.$c2014
520 $aThe soybean rust caused by the fungus Phakopsora pachyrhizi, has caused serious damage to soybean culture since 2001 in Brazil. Several sources of rust resistance have already been identified; however no cultivar has shown stable resistance to rust. Plants are commonly infected by one or more strains of the fungus causing the breakdown of resistance acquired with the introduction of only one or a few resistance genes. In the last years, different study strategies have allowed the simultaneous monitoring of gene expression in plant-pathogen interaction, broadening our understanding of the molecular mechanisms underlying compatibility and incompatibility responses of soybean to P. pachyrhizi creating new perspectives for the development of a more durable resistance. In this work, we used laser capture microdissection (LCM) to isolate the foliar mesophyll cells of rust infection sites and access site specific processes and regulators in tolerant (compatible interaction) (BRS231) and resistant (incompatible interaction) (PI561356) soybean genotypes. RNA was extracted from the isolated cells, amplified, and sequenced with Solexa plataform. The generated paired-end sequences (54 bp) were mapped to the soybean genome and gene models (http://www.phytozome.net) for the identification of expressed genes and splicing variants. A total of 28,572 and 30,743 genes (RPKM>3) were identified for BRS231 and PI561356, respectively. The remaining reads were used to perform an ab initio assembly of P. pachyrhizi transcripts expressed at 10 dpi in planta. To improve the quality of assembly, P. pachyrhizi sequences from Sanger sequencing reads available at NCBI were trimmed and assembled into contigs and singlets. The two assemblies were merged to form PPGC1.0 comprising 36,350 unique P. pachyrhizi sequences (unisequences) expressed at 10 dpi in planta. By combining LCM with a high performance sequencing (RNA-seq) we were able to access the expression profile of a large number of genes in rust infection sites, including those related to the fungal invasion, and access new transcripts involved in soybean-rust interaction in both, compatible and incompatible interaction. Among the genes identified, the 100 soybean most expressed transcripts (RPKM) in PI561356 and BRS231 rust infection sites were stress-induced genes like cystein proteases, metallothioneins, transcription factors and genes related to protein degradation. Functional annotation of P. pachyrhizi expressed genes was done using the Blast2GO tool resulting in 3,976 transcripts associated with Gene Ontology (GO) terms, and 2,902 to biological process ontology. Biological process ontology was mainly represented by three classes of parent terms: cellular component organization or biogenesis, localization and cellular process. In the last one, two terms: response to stimulus and metabolic process were the most enriched biological process categories. Phakopsora pachyrhizi metabolic processes were strongly represented by sequences with probable function in glycogen and lipid catabolism (debranching enzymes), carbohydrate metabolism (invertases, mannitol dehydrogenases) and nitrogen metabolism (trehalose 6-phosphate synthase). Among sequences associated to response to stimulus were a great number of GO terms also linked to the symbiosis, encompassing mutualism through parasitism term (GO:0044403) including proteins involved in nucleotide binding and DNA metabolic process (nucleases and response to DNA damage stimulus), thiamin metabolic process, proteolysis, response to reactive oxygen species, GTPase mediated signal transduction, inositol-lipid mediated signaling and calmodulin signaling. Using a combination of approaches based on Blast similarities against local databases and an initio prediction, we generated a list of 905 putative secreted proteins from the total of 36,350 unique P. pachyrhizi unisequences. To identify a set of candidate P. pachyrhizi effectors, we grouped the predicted secretome into tribes or families to find those unisequences associated to expanded families. Of the 100 tribes formed, 50 of them contained more than three unisequences. A list of the 169 unisequences were obtained, that combine defining features to be common between effectors, such as small open reading frame ORF size (<250aa), no intracellular function described, enrichement of cystein residues (>3%), and presence of the previously described Y/F/WxC motif. These characteristics are mostly observed among the members of tribes 1, 2 and 17. A temporal expression of 58 candidate effector genes was characterized from spores, germinated spores and infected soybean leaves at 0, 6, 12, 24, 36, 48, 72, 96, 192 and 240 hours after inoculation (hai) using RT-qPCR. Expression analysis showed differential temporal gene expression of these candidate effectors. Heat map analysis revealed three main clusters with coordinated expression of candidates across the infection cycle. The first has candidates expressed in specific steps of infection and almost sequences have motifs common of the effectors as Y/F/WxC. Second cluster has candidates expressed during initial steps of infection that matches germ tube and appressoria formation (0 ? 24 hai) and almost sequences have ?3 cysteine residues, other common features of the effectors. Third cluster has candidates expressed only in contact with the host, suggesting that these candidates are host-induced. This last cluster has a sequence with CFEM domain associated with pathogenicity. Functional analyses are in progress with more promising candidates effectors from second and third cluster to better understand this potential effectors in soybean rust.
650 $aPlant diseases and disorders
650 $aSoybean rust
650 $aSoybeans
650 $aDoença de Planta
650 $aFerrugem
650 $aSoja
700 1 $aNASCIMENTO, L. C.
700 1 $aPOLIZEL-PODANOSQUI, A. M.
700 1 $aROCHA, C. S.
700 1 $aDARBEN, L. M.
700 1 $aLOPES-CAITAR, V. S.
700 1 $aCARAZZOLLE, M. F.
700 1 $aOLIVEIRA, M. L. C. S.
700 1 $aABDELNOOR, R. V.
700 1 $aMARCELINO-GUIMARÃES, F. C.
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Registro original: |
Embrapa Soja (CNPSO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Uva e Vinho. Para informações adicionais entre em contato com cnpuv.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
11/09/2020 |
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Data da última atualização: |
18/12/2020 |
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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: |
MALTZAHN, L. E.; VIANA, V. E.; BUSANELLO, C.; VENSKE, E.; GIRARDI, C. L.; OLIVEIRA, A. C. DE; PEGORARO, C. |
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Afiliação: |
Latóia Eduarda Maltzahn, Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil; Vívian Ebeling Viana, Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil; Carlos Busanello, 1 Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil; Eduardo Venske, 1 Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil; CESAR LUIS GIRARDI, CNPUV; Antonio Costa de Oliveira, Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil; Camila Pegoraro, Laboratório de Genômica e Fitomelhoramento, Departamento de Fitotecnia, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, Brazil. |
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Título: |
ATG genes, new playerson early Fe toxicity response in rice (Oryza sativa). |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Plant Breeding, p. 1-13, July 2020. |
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DOI: |
10.1111/pbr.12860 |
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Idioma: |
Inglês |
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Conteúdo: |
Rice yield is frequently impaired by abiotic adverse conditions in several parts of the globe. One of these constraints is soil iron toxicity. Plants respond to adverse conditions by activating different mechanisms, some of which have already been elucidated. Recently, autophagy has been associated with plant tolerance to abiotic stresses, however, the involvement of this mechanism in the response to iron toxicity has never been studied. Autophagy is a process of recycling cellular components and involves approximately 30 genes in rice. Thus, the objective of this study was to characterise the regulation and transcriptional activation of OsATG genes in rice seedlings under iron toxicity. In this condition, OsATG genes were induced in the tolerant genotype and repressed in the sensitive one. Also, OsATG gene promoters are rich in W-box cis-regulatory elements targeted by WRKY transcription factors. These results suggest that OsATG genes are involved in early iron toxicity response and the regulation of these genes can occur via WRKY. This study provides early insights into the involvement of autophagy in iron toxicity response. KEYWORDS abiotic stress, autophagy, gene expression, genotyping, iron, transcriptional regulation |
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Palavras-Chave: |
Transcriptional regulation. |
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Thesaurus NAL: |
Abiotic stress; Autophagy; Gene expression; Genotyping; Iron. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02001naa a2200277 a 4500
001 2124879
005 2020-12-18
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1111/pbr.12860$2DOI
100 1 $aMALTZAHN, L. E.
245 $aATG genes, new playerson early Fe toxicity response in rice (Oryza sativa).$h[electronic resource]
260 $c2020
520 $aRice yield is frequently impaired by abiotic adverse conditions in several parts of the globe. One of these constraints is soil iron toxicity. Plants respond to adverse conditions by activating different mechanisms, some of which have already been elucidated. Recently, autophagy has been associated with plant tolerance to abiotic stresses, however, the involvement of this mechanism in the response to iron toxicity has never been studied. Autophagy is a process of recycling cellular components and involves approximately 30 genes in rice. Thus, the objective of this study was to characterise the regulation and transcriptional activation of OsATG genes in rice seedlings under iron toxicity. In this condition, OsATG genes were induced in the tolerant genotype and repressed in the sensitive one. Also, OsATG gene promoters are rich in W-box cis-regulatory elements targeted by WRKY transcription factors. These results suggest that OsATG genes are involved in early iron toxicity response and the regulation of these genes can occur via WRKY. This study provides early insights into the involvement of autophagy in iron toxicity response. KEYWORDS abiotic stress, autophagy, gene expression, genotyping, iron, transcriptional regulation
650 $aAbiotic stress
650 $aAutophagy
650 $aGene expression
650 $aGenotyping
650 $aIron
653 $aTranscriptional regulation
700 1 $aVIANA, V. E.
700 1 $aBUSANELLO, C.
700 1 $aVENSKE, E.
700 1 $aGIRARDI, C. L.
700 1 $aOLIVEIRA, A. C. DE
700 1 $aPEGORARO, C.
773 $tPlant Breeding, p. 1-13, July 2020.
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