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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
20/07/2021 |
Data da última atualização: |
20/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MASCARIN, G. M.; IWANICKI, N. S.; RAMIREZ, J. L.; DELALIBERA JUNIOR, I.; DUNLAP, C. A. |
Afiliação: |
GABRIEL MOURA MASCARIN, CNPMA; NATASHA SANT´ANNA IWANICKI, ESALQ-USP; JOSE LUIS RAMIREZ, USDA-ARS; ÍTALO DELALIBERA JUNIOR, ESALQ-USP. |
Título: |
Transcriptional responses of Beauveria bassiana blastospores cultured under varying glucose concentrations. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Frontiers in Cellular and Infection Microbiology, v. 11, article 644372, 2021. |
Páginas: |
p. 1-18. |
ISSN: |
2235-2988 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Culturing the entomopathogenic fungus, Beauveria bassiana, under high glucose concentrations coupled with high aeration results in a fungal developmental shift from hyphal growth to mostly blastospores (yeast-like cells). The underlying molecular mechanisms involved in this shift remain elusive. A systematic transcriptome analysis of the differential gene expression was preformed to uncover the fungal transcriptomic response to osmotic and oxidative stresses associated with the resulting high blastospore yield. Differential gene expression was compared under moderate (10% w/v) and high (20% w/v) glucose concentrations daily for three days. The RNAseq-based transcriptomic results depicted a higher proportion of downregulated genes when the fungus was grown under 20% glucose than 10%. Additional experiments explored a broader glucose range (4, 8, 12, 16, 20% w/v) with phenotype assessment and qRT-PCR transcript abundance measurements of selected genes. Antioxidant, calcium transport, conidiation, and osmosensor-related genes were highly upregulated in higher glucose titers (16-20%) compared to growth in lower glucose (4-6%) concentrations. The class 1 hydrophobin gene (Hyd1) was highly expressed throughout the culturing. Hyd1 is known to be involved in spore coat rodlet layer assembly, and indicates that blastospores or another cell type containing hydrophobin 1 is expressed in the haemocoel during the infection process. Furthermore, we found implications of the HOG signaling pathway with upregulation of homologous genes Ssk2 and Hog1 for all fermentation time points under hyperosmotic medium (20% glucose). These findings expand our knowledge of the molecular mechanisms behind blastospore development and may help facilitate large-scale industrial production of B. bassiana blastospores for pest control applications. MenosAbstract: Culturing the entomopathogenic fungus, Beauveria bassiana, under high glucose concentrations coupled with high aeration results in a fungal developmental shift from hyphal growth to mostly blastospores (yeast-like cells). The underlying molecular mechanisms involved in this shift remain elusive. A systematic transcriptome analysis of the differential gene expression was preformed to uncover the fungal transcriptomic response to osmotic and oxidative stresses associated with the resulting high blastospore yield. Differential gene expression was compared under moderate (10% w/v) and high (20% w/v) glucose concentrations daily for three days. The RNAseq-based transcriptomic results depicted a higher proportion of downregulated genes when the fungus was grown under 20% glucose than 10%. Additional experiments explored a broader glucose range (4, 8, 12, 16, 20% w/v) with phenotype assessment and qRT-PCR transcript abundance measurements of selected genes. Antioxidant, calcium transport, conidiation, and osmosensor-related genes were highly upregulated in higher glucose titers (16-20%) compared to growth in lower glucose (4-6%) concentrations. The class 1 hydrophobin gene (Hyd1) was highly expressed throughout the culturing. Hyd1 is known to be involved in spore coat rodlet layer assembly, and indicates that blastospores or another cell type containing hydrophobin 1 is expressed in the haemocoel during the infection process. Furthermore, we found implications of the HOG ... Mostrar Tudo |
Palavras-Chave: |
Biocontrol; Dimorphic growth; Liquid fermentation. |
Thesagro: |
Beauveria Bassiana; Controle Biológico; Fermentação; Fungo Entomógeno; Fungo Para Controle Biológico. |
Thesaurus Nal: |
Biological control; Cordycipitaceae; Liquid state fermentation; morphogenesis. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224558/1/Mascarin-Transcriptional-responses-2021.pdf
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Marc: |
LEADER 02887naa a2200337 a 4500 001 2133044 005 2021-07-20 008 2021 bl uuuu u00u1 u #d 022 $a2235-2988 100 1 $aMASCARIN, G. M. 245 $aTranscriptional responses of Beauveria bassiana blastospores cultured under varying glucose concentrations.$h[electronic resource] 260 $c2021 300 $ap. 1-18. 520 $aAbstract: Culturing the entomopathogenic fungus, Beauveria bassiana, under high glucose concentrations coupled with high aeration results in a fungal developmental shift from hyphal growth to mostly blastospores (yeast-like cells). The underlying molecular mechanisms involved in this shift remain elusive. A systematic transcriptome analysis of the differential gene expression was preformed to uncover the fungal transcriptomic response to osmotic and oxidative stresses associated with the resulting high blastospore yield. Differential gene expression was compared under moderate (10% w/v) and high (20% w/v) glucose concentrations daily for three days. The RNAseq-based transcriptomic results depicted a higher proportion of downregulated genes when the fungus was grown under 20% glucose than 10%. Additional experiments explored a broader glucose range (4, 8, 12, 16, 20% w/v) with phenotype assessment and qRT-PCR transcript abundance measurements of selected genes. Antioxidant, calcium transport, conidiation, and osmosensor-related genes were highly upregulated in higher glucose titers (16-20%) compared to growth in lower glucose (4-6%) concentrations. The class 1 hydrophobin gene (Hyd1) was highly expressed throughout the culturing. Hyd1 is known to be involved in spore coat rodlet layer assembly, and indicates that blastospores or another cell type containing hydrophobin 1 is expressed in the haemocoel during the infection process. Furthermore, we found implications of the HOG signaling pathway with upregulation of homologous genes Ssk2 and Hog1 for all fermentation time points under hyperosmotic medium (20% glucose). These findings expand our knowledge of the molecular mechanisms behind blastospore development and may help facilitate large-scale industrial production of B. bassiana blastospores for pest control applications. 650 $aBiological control 650 $aCordycipitaceae 650 $aLiquid state fermentation 650 $amorphogenesis 650 $aBeauveria Bassiana 650 $aControle Biológico 650 $aFermentação 650 $aFungo Entomógeno 650 $aFungo Para Controle Biológico 653 $aBiocontrol 653 $aDimorphic growth 653 $aLiquid fermentation 700 1 $aIWANICKI, N. S. 700 1 $aRAMIREZ, J. L. 700 1 $aDELALIBERA JUNIOR, I. 700 1 $aDUNLAP, C. A. 773 $tFrontiers in Cellular and Infection Microbiology$gv. 11, article 644372, 2021.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
Data corrente: |
07/12/2021 |
Data da última atualização: |
20/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MARTINS, F. B.; MORAES, A. C. L.; AONO, A. H.; FERREIRA, R. C. U.; CHIARI, L.; SIMEÃO, R. M.; BARRIOS, S. C. L.; SANTOS, M. F.; JANK, L.; VALLE, C. B. do; VIGNA, B. B. Z.; SOUZA, A. P. DE. |
Afiliação: |
FELIPE BITENCOURT MARTINS, Center for Molecular Biology and Genetic Engineering; ALINE COSTA LIMA MORAES, Center for Molecular Biology and Genetic Engineering; ALEXANDRE HILD AONO, Center for Molecular Biology and Genetic Engineering; REBECCA CAROLINE ULBRICHT FERREIRA, Center for Molecular Biology and Genetic Engineering; LUCIMARA CHIARI, CNPGC; ROSANGELA MARIA SIMEAO, CNPGC; SANZIO CARVALHO LIMA BARRIOS, CNPGC; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; CACILDA BORGES DO VALLE, CNPGC; BIANCA BACCILI ZANOTTO VIGNA, CPPSE; ANETE PEREIRA DE SOUZA, Center for Molecular Biology and Genetic Engineering; UNICAMP. |
Título: |
A semi-automated SNP-based approach for contaminant identification in biparental Polyploid Populations of tropical forage grasses. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Frontiers in Plant Science, v.12, article 737919, 2021. |
Páginas: |
19 p. |
DOI: |
https://doi.org/10.3389/fpls.2021.737919 |
Idioma: |
Inglês |
Conteúdo: |
Artificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made available through the polyCID Shiny app and can be easily coupled with traditional genetic approaches, such as linkage map construction, thereby increasing the efficiency of breeding programs. MenosArtificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made ava... Mostrar Tudo |
Palavras-Chave: |
Allele dosage; Apomictic clones; Clustering analysis; GBS; Half sibling; Self fertilization; Shiny. |
Thesaurus NAL: |
Principal component analysis. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228605/1/SemiAutomatedSNP.pdf
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Marc: |
LEADER 02794naa a2200373 a 4500 001 2138071 005 2021-12-20 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3389/fpls.2021.737919$2DOI 100 1 $aMARTINS, F. B. 245 $aA semi-automated SNP-based approach for contaminant identification in biparental Polyploid Populations of tropical forage grasses.$h[electronic resource] 260 $c2021 300 $a19 p. 520 $aArtificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made available through the polyCID Shiny app and can be easily coupled with traditional genetic approaches, such as linkage map construction, thereby increasing the efficiency of breeding programs. 650 $aPrincipal component analysis 653 $aAllele dosage 653 $aApomictic clones 653 $aClustering analysis 653 $aGBS 653 $aHalf sibling 653 $aSelf fertilization 653 $aShiny 700 1 $aMORAES, A. C. L. 700 1 $aAONO, A. H. 700 1 $aFERREIRA, R. C. U. 700 1 $aCHIARI, L. 700 1 $aSIMEÃO, R. M. 700 1 $aBARRIOS, S. C. L. 700 1 $aSANTOS, M. F. 700 1 $aJANK, L. 700 1 $aVALLE, C. B. do 700 1 $aVIGNA, B. B. Z. 700 1 $aSOUZA, A. P. DE 773 $tFrontiers in Plant Science$gv.12, article 737919, 2021.
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