Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula
- Autores
- Garbus, Ingrid; Romero, José Rodolfo; Selva, Juan Pablo; Pessino, Silvina Claudia; Echenique, Viviana
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Eragrostis curvula is a perennial grass native to Southern Africa and widely distributed in semiarid regions of Argentina. Some cultivars are polyploids (from 4x to 8x) and reproduce by diplosporous apomixis, mode ofreproduction strongly affected by ploidy. Diploids (2n = 2x = 20) are always sexual and very infrequent. Here we report the construction of floral transcriptome and miRNA databases for apomictic and sexual genotypes of this grass as important tools to study the complex nature of this intriguing reproductive mode. Total RNA was extracted from flowers at different developmental stages from the tetraploid genotypes Tanganyika USDA (apomictic) and OTA USDA (sexual). Two samples from each genotype were collected (two different plants, biological replicas constituted by a mix of different developmental stages) and the same RNA was divided in order to sequence the transcripts and the miRNAs. Sequencing was carried out at INDEAR (Instituto de Agrobiotecnología de Rosario, Rosario, Argentina). Each library (sexual or apomictic) by using the 454 GS FLX+ Roche method, according to the protocol provided by the manufacturer. miRNA were sequenced using the Illumina platform at GenXpro (Germany). The total number of reads from the transcriptome was 2,617,197, with a total number of952,693,285 bp and an average read length of 364.01 bp. Transcripts de novo assembly (Newbler software package) gave a total of 49,568 contigs (~80,000,000 bp) and 133,782 singletons (~40,000,000 bp). Annotation was done by using the software BLAST2GO, which assigns Gene Ontology terms, being the most represented categories biological, biosynthetic and metabolic processes, reproduction, response to stress, small molecule metabolic process and transport. From these genes, 27, 806 were shared for both, apomictic and sexual genotypes and 3,384 and 6, 366 transcripts were detected only in the sexual and apomictic genotype, respectively. From these, ~45% could not be annotated (~5,000 genes). The use of the software MEGAN allowed us to detect approximately 5000 genes that are not represented in other plant species and that are excellent candidates to analyze. Relative to miRNA, 1,670,483 and 2,274,914 reads were detected in the sexual and apomictic genotype respectively. The role ofthese elements in the reproductive mode is being investigated.
Fil: Garbus, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Romero, José Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Selva, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Pessino, Silvina Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Echenique, Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
IV Ciclo de Seminarios sobre avances en la caracterización genética y molecular de la apomixis
Bahía Blanca
Argentina
Universidad Nacional del Sur
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. - Materia
-
TRANSCRIPTOME
ERAGROSTIS
APOMIXIS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/243783
Ver los metadatos del registro completo
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Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvulaGarbus, IngridRomero, José RodolfoSelva, Juan PabloPessino, Silvina ClaudiaEchenique, VivianaTRANSCRIPTOMEERAGROSTISAPOMIXIShttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Eragrostis curvula is a perennial grass native to Southern Africa and widely distributed in semiarid regions of Argentina. Some cultivars are polyploids (from 4x to 8x) and reproduce by diplosporous apomixis, mode ofreproduction strongly affected by ploidy. Diploids (2n = 2x = 20) are always sexual and very infrequent. Here we report the construction of floral transcriptome and miRNA databases for apomictic and sexual genotypes of this grass as important tools to study the complex nature of this intriguing reproductive mode. Total RNA was extracted from flowers at different developmental stages from the tetraploid genotypes Tanganyika USDA (apomictic) and OTA USDA (sexual). Two samples from each genotype were collected (two different plants, biological replicas constituted by a mix of different developmental stages) and the same RNA was divided in order to sequence the transcripts and the miRNAs. Sequencing was carried out at INDEAR (Instituto de Agrobiotecnología de Rosario, Rosario, Argentina). Each library (sexual or apomictic) by using the 454 GS FLX+ Roche method, according to the protocol provided by the manufacturer. miRNA were sequenced using the Illumina platform at GenXpro (Germany). The total number of reads from the transcriptome was 2,617,197, with a total number of952,693,285 bp and an average read length of 364.01 bp. Transcripts de novo assembly (Newbler software package) gave a total of 49,568 contigs (~80,000,000 bp) and 133,782 singletons (~40,000,000 bp). Annotation was done by using the software BLAST2GO, which assigns Gene Ontology terms, being the most represented categories biological, biosynthetic and metabolic processes, reproduction, response to stress, small molecule metabolic process and transport. From these genes, 27, 806 were shared for both, apomictic and sexual genotypes and 3,384 and 6, 366 transcripts were detected only in the sexual and apomictic genotype, respectively. From these, ~45% could not be annotated (~5,000 genes). The use of the software MEGAN allowed us to detect approximately 5000 genes that are not represented in other plant species and that are excellent candidates to analyze. Relative to miRNA, 1,670,483 and 2,274,914 reads were detected in the sexual and apomictic genotype respectively. The role ofthese elements in the reproductive mode is being investigated.Fil: Garbus, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Romero, José Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Selva, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Pessino, Silvina Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Echenique, Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaIV Ciclo de Seminarios sobre avances en la caracterización genética y molecular de la apomixisBahía BlancaArgentinaUniversidad Nacional del SurConsejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida.Universidad Nacional de Rosario2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectSeminarioJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/243783Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula; IV Ciclo de Seminarios sobre avances en la caracterización genética y molecular de la apomixis; Bahía Blanca; Argentina; 2014; 39-391853-4333CONICET DigitalCONICETengInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:16:32Zoai:ri.conicet.gov.ar:11336/243783instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 10:16:32.525CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| title |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| spellingShingle |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula Garbus, Ingrid TRANSCRIPTOME ERAGROSTIS APOMIXIS |
| title_short |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| title_full |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| title_fullStr |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| title_full_unstemmed |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| title_sort |
Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula |
| dc.creator.none.fl_str_mv |
Garbus, Ingrid Romero, José Rodolfo Selva, Juan Pablo Pessino, Silvina Claudia Echenique, Viviana |
| author |
Garbus, Ingrid |
| author_facet |
Garbus, Ingrid Romero, José Rodolfo Selva, Juan Pablo Pessino, Silvina Claudia Echenique, Viviana |
| author_role |
author |
| author2 |
Romero, José Rodolfo Selva, Juan Pablo Pessino, Silvina Claudia Echenique, Viviana |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
TRANSCRIPTOME ERAGROSTIS APOMIXIS |
| topic |
TRANSCRIPTOME ERAGROSTIS APOMIXIS |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
| dc.description.none.fl_txt_mv |
Eragrostis curvula is a perennial grass native to Southern Africa and widely distributed in semiarid regions of Argentina. Some cultivars are polyploids (from 4x to 8x) and reproduce by diplosporous apomixis, mode ofreproduction strongly affected by ploidy. Diploids (2n = 2x = 20) are always sexual and very infrequent. Here we report the construction of floral transcriptome and miRNA databases for apomictic and sexual genotypes of this grass as important tools to study the complex nature of this intriguing reproductive mode. Total RNA was extracted from flowers at different developmental stages from the tetraploid genotypes Tanganyika USDA (apomictic) and OTA USDA (sexual). Two samples from each genotype were collected (two different plants, biological replicas constituted by a mix of different developmental stages) and the same RNA was divided in order to sequence the transcripts and the miRNAs. Sequencing was carried out at INDEAR (Instituto de Agrobiotecnología de Rosario, Rosario, Argentina). Each library (sexual or apomictic) by using the 454 GS FLX+ Roche method, according to the protocol provided by the manufacturer. miRNA were sequenced using the Illumina platform at GenXpro (Germany). The total number of reads from the transcriptome was 2,617,197, with a total number of952,693,285 bp and an average read length of 364.01 bp. Transcripts de novo assembly (Newbler software package) gave a total of 49,568 contigs (~80,000,000 bp) and 133,782 singletons (~40,000,000 bp). Annotation was done by using the software BLAST2GO, which assigns Gene Ontology terms, being the most represented categories biological, biosynthetic and metabolic processes, reproduction, response to stress, small molecule metabolic process and transport. From these genes, 27, 806 were shared for both, apomictic and sexual genotypes and 3,384 and 6, 366 transcripts were detected only in the sexual and apomictic genotype, respectively. From these, ~45% could not be annotated (~5,000 genes). The use of the software MEGAN allowed us to detect approximately 5000 genes that are not represented in other plant species and that are excellent candidates to analyze. Relative to miRNA, 1,670,483 and 2,274,914 reads were detected in the sexual and apomictic genotype respectively. The role ofthese elements in the reproductive mode is being investigated. Fil: Garbus, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina Fil: Romero, José Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina Fil: Selva, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina Fil: Pessino, Silvina Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina Fil: Echenique, Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina IV Ciclo de Seminarios sobre avances en la caracterización genética y molecular de la apomixis Bahía Blanca Argentina Universidad Nacional del Sur Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. |
| description |
Eragrostis curvula is a perennial grass native to Southern Africa and widely distributed in semiarid regions of Argentina. Some cultivars are polyploids (from 4x to 8x) and reproduce by diplosporous apomixis, mode ofreproduction strongly affected by ploidy. Diploids (2n = 2x = 20) are always sexual and very infrequent. Here we report the construction of floral transcriptome and miRNA databases for apomictic and sexual genotypes of this grass as important tools to study the complex nature of this intriguing reproductive mode. Total RNA was extracted from flowers at different developmental stages from the tetraploid genotypes Tanganyika USDA (apomictic) and OTA USDA (sexual). Two samples from each genotype were collected (two different plants, biological replicas constituted by a mix of different developmental stages) and the same RNA was divided in order to sequence the transcripts and the miRNAs. Sequencing was carried out at INDEAR (Instituto de Agrobiotecnología de Rosario, Rosario, Argentina). Each library (sexual or apomictic) by using the 454 GS FLX+ Roche method, according to the protocol provided by the manufacturer. miRNA were sequenced using the Illumina platform at GenXpro (Germany). The total number of reads from the transcriptome was 2,617,197, with a total number of952,693,285 bp and an average read length of 364.01 bp. Transcripts de novo assembly (Newbler software package) gave a total of 49,568 contigs (~80,000,000 bp) and 133,782 singletons (~40,000,000 bp). Annotation was done by using the software BLAST2GO, which assigns Gene Ontology terms, being the most represented categories biological, biosynthetic and metabolic processes, reproduction, response to stress, small molecule metabolic process and transport. From these genes, 27, 806 were shared for both, apomictic and sexual genotypes and 3,384 and 6, 366 transcripts were detected only in the sexual and apomictic genotype, respectively. From these, ~45% could not be annotated (~5,000 genes). The use of the software MEGAN allowed us to detect approximately 5000 genes that are not represented in other plant species and that are excellent candidates to analyze. Relative to miRNA, 1,670,483 and 2,274,914 reads were detected in the sexual and apomictic genotype respectively. The role ofthese elements in the reproductive mode is being investigated. |
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2014 |
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2014 |
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Construction of floral transcriptome and mirna databases for apomictic and sexual genotypes of eragrostis curvula; IV Ciclo de Seminarios sobre avances en la caracterización genética y molecular de la apomixis; Bahía Blanca; Argentina; 2014; 39-39 1853-4333 CONICET Digital CONICET |
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