Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize
Fusarium verticillioides represents a major phytopathogenic threat to maize crops worldwide. In this study, we present genomic sequence data of a phytopathogen isolated from a maize stem that shows obvious signs of vascular rot. Using rigorous microbiological identification techniques, we correlated...
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| Format: | info:eu-repo/semantics/article |
| Language: | Inglés |
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Elsevier
2024
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| Online Access: | https://hdl.handle.net/20.500.12955/2601 https://doi.org/10.1016/j.dib.2024.110951 |
| _version_ | 1855028752566714368 |
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| author | Estrada Cañari, Richard Aragón, Liliana Pérez Porras, Wendy E. Romero Avila, Yolanda Martínez Vidal, Gabriel García, Karina Cruz Luis, Juancarlos Arbizu Berrocal, Carlos I. |
| author_browse | Aragón, Liliana Arbizu Berrocal, Carlos I. Cruz Luis, Juancarlos Estrada Cañari, Richard García, Karina Martínez Vidal, Gabriel Pérez Porras, Wendy E. Romero Avila, Yolanda |
| author_facet | Estrada Cañari, Richard Aragón, Liliana Pérez Porras, Wendy E. Romero Avila, Yolanda Martínez Vidal, Gabriel García, Karina Cruz Luis, Juancarlos Arbizu Berrocal, Carlos I. |
| author_sort | Estrada Cañari, Richard |
| collection | Repositorio INIA |
| description | Fusarium verticillioides represents a major phytopathogenic threat to maize crops worldwide. In this study, we present genomic sequence data of a phytopathogen isolated from a maize stem that shows obvious signs of vascular rot. Using rigorous microbiological identification techniques, we correlated the disease symptoms observed in an affected maize region with the presence of the pathogen. Subsequently, the pathogen was cultured in a suitable fungal growth medium and extensive morphological characterization was performed. In addition, a pathogenicity test was carried out in a DCA model with three treatments and seven repetitions. De novo assembly from Illumina Novaseq 60 0 0 sequencing yielded 456 contigs, which together constitute a 42.8 Mb genome assembly with a GC % content of 48.26. Subsequent comparative analyses were performed with other Fusarium genomes available in the NCBI database. |
| format | info:eu-repo/semantics/article |
| id | INIA2601 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INIA26012025-03-04T21:55:28Z Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize Estrada Cañari, Richard Aragón, Liliana Pérez Porras, Wendy E. Romero Avila, Yolanda Martínez Vidal, Gabriel García, Karina Cruz Luis, Juancarlos Arbizu Berrocal, Carlos I. Genome sequencing Vascular rot SSR data mining https://purl.org/pe-repo/ocde/ford#4.01.06 Genomes Genoma Plant diseases Enfermedades de las plantas Data mining Minería de datos Fusarium verticillioides represents a major phytopathogenic threat to maize crops worldwide. In this study, we present genomic sequence data of a phytopathogen isolated from a maize stem that shows obvious signs of vascular rot. Using rigorous microbiological identification techniques, we correlated the disease symptoms observed in an affected maize region with the presence of the pathogen. Subsequently, the pathogen was cultured in a suitable fungal growth medium and extensive morphological characterization was performed. In addition, a pathogenicity test was carried out in a DCA model with three treatments and seven repetitions. De novo assembly from Illumina Novaseq 60 0 0 sequencing yielded 456 contigs, which together constitute a 42.8 Mb genome assembly with a GC % content of 48.26. Subsequent comparative analyses were performed with other Fusarium genomes available in the NCBI database. 2024-11-04T04:24:01Z 2024-11-04T04:24:01Z 2024-09-23 info:eu-repo/semantics/article Estrada-Cañari, R.; Aragón, L.; Pérez-Porras, W.E.; Romero-Avila, R.; Martínez-Vidal, G.; García, K.; Cruz-Luis, J.; & Arbizu-Berrocal, C.I. (2024). Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize. Data in brief, 57(2024), 110951. doi: 10.1016/j.dib.2024.110951 2352-3409 https://hdl.handle.net/20.500.12955/2601 https://doi.org/10.1016/j.dib.2024.110951 eng urn:issn:2352-3409 Data in brief info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/ application/pdf application/pdf Elsevier US Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Genome sequencing Vascular rot SSR data mining https://purl.org/pe-repo/ocde/ford#4.01.06 Genomes Genoma Plant diseases Enfermedades de las plantas Data mining Minería de datos Estrada Cañari, Richard Aragón, Liliana Pérez Porras, Wendy E. Romero Avila, Yolanda Martínez Vidal, Gabriel García, Karina Cruz Luis, Juancarlos Arbizu Berrocal, Carlos I. Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title | Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title_full | Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title_fullStr | Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title_full_unstemmed | Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title_short | Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize |
| title_sort | draft genome sequence data of fusarium verticillioides strain rec01 a phytopathogen isolated from a peruvian maize |
| topic | Genome sequencing Vascular rot SSR data mining https://purl.org/pe-repo/ocde/ford#4.01.06 Genomes Genoma Plant diseases Enfermedades de las plantas Data mining Minería de datos |
| url | https://hdl.handle.net/20.500.12955/2601 https://doi.org/10.1016/j.dib.2024.110951 |
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