Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality
Soil microbial diversity degradation through agricultural intensification necessitates sustainable alternatives. This study employed genomic and phenotypic approaches to characterize wheat rhizosphere-associated Bacillaceae for agricultural applications. Initial screening of 576 sporulating isolates...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Springer
2025
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| Online Access: | http://hdl.handle.net/20.500.12123/22979 https://link.springer.com/article/10.1007/s00253-025-13544-9 https://doi.org/10.1007/s00253-025-13544-9 |
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| author | Casal, Alejo Gizzi, Fernán Oscar Figueroa, Sol Agostina Petitti, Tomás Denis Ferraguti, Facundo Javier Gaido, Jimena Torres Manno, Mariano Alberto Céccoli, Gabriel Paoletti, Luciana Dunlap, Christopher Daurelio, Lucas Damián Espariz, Martín |
| author_browse | Casal, Alejo Céccoli, Gabriel Daurelio, Lucas Damián Dunlap, Christopher Espariz, Martín Ferraguti, Facundo Javier Figueroa, Sol Agostina Gaido, Jimena Gizzi, Fernán Oscar Paoletti, Luciana Petitti, Tomás Denis Torres Manno, Mariano Alberto |
| author_facet | Casal, Alejo Gizzi, Fernán Oscar Figueroa, Sol Agostina Petitti, Tomás Denis Ferraguti, Facundo Javier Gaido, Jimena Torres Manno, Mariano Alberto Céccoli, Gabriel Paoletti, Luciana Dunlap, Christopher Daurelio, Lucas Damián Espariz, Martín |
| author_sort | Casal, Alejo |
| collection | INTA Digital |
| description | Soil microbial diversity degradation through agricultural intensification necessitates sustainable alternatives. This study employed genomic and phenotypic approaches to characterize wheat rhizosphere-associated Bacillaceae for agricultural applications. Initial screening of 576 sporulating isolates for antifungal activity against Fusarium graminearum, followed by RAPD analysis, identified 39 distinct genetic profiles, out of which 15 were classified in Bacillus amyloliquefaciens or Priestia megaterium groups by 16S RNA sequence. Whole-genome sequencing of selected strains enabled precise taxonomic classification and comprehensive trait prediction using in silico tools. Genomic mining revealed strain-specific distributions of beneficial traits, including antimicrobial compound production pathways and plant growth-promoting characteristics. Phenotypic validation confirmed key predicted traits while uncovering additional functionalities not detected in silico. Integration of kernel bioassays, pot experiments, and field trials identified Bacillus velezensis ZAV-W70 and P. megaterium ZAV-W64 as promising biofertilizer and biocontrol candidates, demonstrating enhanced yield without fungicides and improved bread-making quality, respectively. These findings highlight the value of combining genomic analysis with traditional screening methods for developing effective agricultural biologicals, contributing to sustainable wheat production practices. |
| format | info:ar-repo/semantics/artículo |
| id | INTA22979 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA229792025-07-11T11:12:27Z Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality Casal, Alejo Gizzi, Fernán Oscar Figueroa, Sol Agostina Petitti, Tomás Denis Ferraguti, Facundo Javier Gaido, Jimena Torres Manno, Mariano Alberto Céccoli, Gabriel Paoletti, Luciana Dunlap, Christopher Daurelio, Lucas Damián Espariz, Martín Trigo Rendimiento Calidad Propiedad Antimicosica Genómica Wheat Yields Bacillaceae Quality Antifungal Properties Genomics Rhizobacteria Soil microbial diversity degradation through agricultural intensification necessitates sustainable alternatives. This study employed genomic and phenotypic approaches to characterize wheat rhizosphere-associated Bacillaceae for agricultural applications. Initial screening of 576 sporulating isolates for antifungal activity against Fusarium graminearum, followed by RAPD analysis, identified 39 distinct genetic profiles, out of which 15 were classified in Bacillus amyloliquefaciens or Priestia megaterium groups by 16S RNA sequence. Whole-genome sequencing of selected strains enabled precise taxonomic classification and comprehensive trait prediction using in silico tools. Genomic mining revealed strain-specific distributions of beneficial traits, including antimicrobial compound production pathways and plant growth-promoting characteristics. Phenotypic validation confirmed key predicted traits while uncovering additional functionalities not detected in silico. Integration of kernel bioassays, pot experiments, and field trials identified Bacillus velezensis ZAV-W70 and P. megaterium ZAV-W64 as promising biofertilizer and biocontrol candidates, demonstrating enhanced yield without fungicides and improved bread-making quality, respectively. These findings highlight the value of combining genomic analysis with traditional screening methods for developing effective agricultural biologicals, contributing to sustainable wheat production practices. EEA Oliveros Fil: Casal, Alejo. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología e Inocuidad de los Alimentos; Argentina Fil: Casal, Alejo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Molecular y Celular de Rosario. Laboratorio de Genética y Fisiología de Bacterias Lácticas; Argentina Fil: Casal, Alejo. Universidad Nacional de Rosario. Instituto de Biología Molecular y Celular de Rosario. Laboratorio de Genética y Fisiología de Bacterias Lácticas; Argentina Fil: Gizzi, Fernán Oscar. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología e Inocuidad de los Alimentos; Argentina Fil: Gizzi, Fernán Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Molecular y Celular de Rosario. Laboratorio de Genética y Fisiología de Bacterias Lácticas; Argentina Fil: Gizzi, Fernán Oscar. Universidad Nacional de Rosario. Instituto de Biología Molecular y Celular de Rosario. Laboratorio de Genética y Fisiología de Bacterias Lácticas; Argentina Fil: Figueroa, Sol Agostina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; Argentina Fil: Figueroa, Sol Agostina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Petitti, Tomás Denis. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; Argentina Fil: Petitti, Tomás Denis. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Matemática y Estadística. Área Bioinformática; Argentina Fil: Ferraguti, Facundo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Gaido, Jimena. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Gaido, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Gaido, Jimena. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Fisiología Vegetal; Argentina Fil: Torres Manno, Mariano Alberto. TAXON Bioinformatics Solutions S.A.; Argentina Fil: Céccoli, Gabriel. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Céccoli, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Céccoli, Gabriel. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Fisiología Vegetal; Argentina Fil: Paoletti, Luciana. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Procesos Biotecnológicos y Químicos; Argentina Fil: Paoletti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Procesos Biotecnológicos y Químicos; Argentina Fil: Dunlap, Christopher. United States Department of Agriculture. Agricultural Research Service. National Center for Agricultural Utilization Research. Crop Bioprotection Research Unit; Estados Unidos Fil: Daurelio, Lucas Damián. Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Daurelio, Lucas Damián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro Litoral). Laboratorio de Investigaciones en Fisiología y Biología Molecular Vegetal; Argentina Fil: Daurelio, Lucas Damián. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias. Cátedra de Fisiología Vegetal; Argentina Fil: Espariz, Martín. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Laboratorio de Biotecnología Acuática; Argentina Fil: Espariz, Martín. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Matemática y Estadística. Área Bioinformática; Argentina 2025-07-11T11:07:47Z 2025-07-11T11:07:47Z 2025-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/22979 https://link.springer.com/article/10.1007/s00253-025-13544-9 0175-7598 1432-0614 https://doi.org/10.1007/s00253-025-13544-9 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer Applied Microbiology and Biotechnology 109 : article number 164. (2025) |
| spellingShingle | Trigo Rendimiento Calidad Propiedad Antimicosica Genómica Wheat Yields Bacillaceae Quality Antifungal Properties Genomics Rhizobacteria Casal, Alejo Gizzi, Fernán Oscar Figueroa, Sol Agostina Petitti, Tomás Denis Ferraguti, Facundo Javier Gaido, Jimena Torres Manno, Mariano Alberto Céccoli, Gabriel Paoletti, Luciana Dunlap, Christopher Daurelio, Lucas Damián Espariz, Martín Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title | Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title_full | Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title_fullStr | Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title_full_unstemmed | Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title_short | Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality |
| title_sort | genomically selected antifungal bacillaceae strains improve wheat yield and baking quality |
| topic | Trigo Rendimiento Calidad Propiedad Antimicosica Genómica Wheat Yields Bacillaceae Quality Antifungal Properties Genomics Rhizobacteria |
| url | http://hdl.handle.net/20.500.12123/22979 https://link.springer.com/article/10.1007/s00253-025-13544-9 https://doi.org/10.1007/s00253-025-13544-9 |
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