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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Meio Ambiente. |
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Data corrente: |
13/09/2022 |
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Data da última atualização: |
14/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LOCATELLI, G. O.; PIMENTEL, M. F.; BUENO, L. A.; LOBO JUNIOR, M.; MASCARIN, G. M.; FINKLER, C. L. L. |
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Afiliação: |
GABRIEL OLIVO LOCATELLI, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO; MARIA FERNANDA PIMENTEL, UNIVERSIDADE FEDERAL DE PERNAMBUCO; LUCIANO AVALLONE BUENO, UNIVERSIDADE FEDERAL DO ABC; MURILLO LOBO JUNIOR, CNPAF; GABRIEL MOURA MASCARIN, CNPMA; CHRISTINE LAMENHA LUNA FINKLER, UNIVERSIDADE FEDERAL DE PERNAMBUCO. |
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Título: |
Production of microsclerotia by Trichoderma asperellum through submerged liquid fermentation using low-cost nitrogen and carbon sources. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Biocatalysis and Agricultural Biotechnology, v. 44, article 102455, 2022. |
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ISSN: |
1878-8181 |
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DOI: |
https://doi.org/10.1016/j.bcab.2022.102455 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The aim of this work is to optimize the nutritional conditions using low-cost carbon and nitrogen sources for microsclerotia (MS) production of two Brazilian Trichoderma asperellum strains (BRM-29576 and BRM-29104). A fractional factorial design was used to investigate five variables: carbon source, carbon concentration, nitrogen source, C:N ratio and fungal strain. In this study, the optimal nutritional conditions for improving MS yield were achieved using sucrose and autolyzed yeast, carbon concentration at 20 g L-1 and C:N ratio of 10:1 for the BRM-29104 strain, which outperformed the other strain and yielded up to 2.5 (±0.9) × 104 MS mL-1 within 7 days of fermentation. Sucrose and autolyzed yeast are two economically available carbon and nitrogen sources in Brazil that are suitable for MS production by T. asperellum BRM-29104. Vacuum filtration of MS biomass through nylon filter (200 mesh/74 micrometer) increased MS concentration, resulting in up to 1.8 (±0.2) × 105 MS g-1. Our results support a cost-efficient liquid medium to achieve high MS yields by strain BRM-29104 in combination with an easy method to harvest and concentrate MS from culture broth for further formulation development. |
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Palavras-Chave: |
Autolyzed yeast; Biofungicides; C N ratio; Microsclerotia. |
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Thesagro: |
Carbono; Farinha; Fermentação; Fungo Para Controle Biológico; Nitrogênio; Sorgo; Trichoderma. |
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Thesaurus Nal: |
Biological control agents; Liquid state fermentation; Sorghum flour; Trichoderma asperellum. |
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Categoria do assunto: |
H Saúde e Patologia
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02407naa a2200385 a 4500
001 2146414
005 2022-09-14
008 2022 bl uuuu u00u1 u #d
022 $a1878-8181
024 7 $ahttps://doi.org/10.1016/j.bcab.2022.102455$2DOI
100 1 $aLOCATELLI, G. O.
245 $aProduction of microsclerotia by Trichoderma asperellum through submerged liquid fermentation using low-cost nitrogen and carbon sources.$h[electronic resource]
260 $c2022
520 $aAbstract: The aim of this work is to optimize the nutritional conditions using low-cost carbon and nitrogen sources for microsclerotia (MS) production of two Brazilian Trichoderma asperellum strains (BRM-29576 and BRM-29104). A fractional factorial design was used to investigate five variables: carbon source, carbon concentration, nitrogen source, C:N ratio and fungal strain. In this study, the optimal nutritional conditions for improving MS yield were achieved using sucrose and autolyzed yeast, carbon concentration at 20 g L-1 and C:N ratio of 10:1 for the BRM-29104 strain, which outperformed the other strain and yielded up to 2.5 (±0.9) × 104 MS mL-1 within 7 days of fermentation. Sucrose and autolyzed yeast are two economically available carbon and nitrogen sources in Brazil that are suitable for MS production by T. asperellum BRM-29104. Vacuum filtration of MS biomass through nylon filter (200 mesh/74 micrometer) increased MS concentration, resulting in up to 1.8 (±0.2) × 105 MS g-1. Our results support a cost-efficient liquid medium to achieve high MS yields by strain BRM-29104 in combination with an easy method to harvest and concentrate MS from culture broth for further formulation development.
650 $aBiological control agents
650 $aLiquid state fermentation
650 $aSorghum flour
650 $aTrichoderma asperellum
650 $aCarbono
650 $aFarinha
650 $aFermentação
650 $aFungo Para Controle Biológico
650 $aNitrogênio
650 $aSorgo
650 $aTrichoderma
653 $aAutolyzed yeast
653 $aBiofungicides
653 $aC N ratio
653 $aMicrosclerotia
700 1 $aPIMENTEL, M. F.
700 1 $aBUENO, L. A.
700 1 $aLOBO JUNIOR, M.
700 1 $aMASCARIN, G. M.
700 1 $aFINKLER, C. L. L.
773 $tBiocatalysis and Agricultural Biotechnology$gv. 44, article 102455, 2022.
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| 1. |  | PASTORELLO, G.; TROTTA, C.; CANFORA, E.; CHU, H.; CHRISTIANSON, D.; CHEAH, Y.; POINDEXTER, C.; CHEN, J.; ELBASHANDY, A.; HUMPHREY, M.; ISAAC, P.; POLIDORI, D.; RIBECA, A.; VAN INGEN, C.; ZHANG, L.; AMIRO, B.; AMMANN, C.; ARAIN, M. A.; ARDÖ, J.; ARKEBAUER, T.; ARNDT, S. K.; ARRIGA, N.; AUBINET, M.; AURELA, M.; BALDOCCHI, D.; BARR, A.; BEAMESDERFER, E.; BELELLI, L. M.; BERGERON, O.; BERINGER, J.; BERNHOFER, C.; BERVEILLER, D.; BILLESBACH, D.; BLACK, T. A.; BLANKEN, P. D.; BOHRER, G.; BOIKE, J.; BOLSTAD, P. V.; BONAL, D.; BONNEFOND, J.; BOWLING, D. R.; ROSVEL, B.; BRODEUR, J.; BRÜMMER, C.; BUCHMANN, N.; BURBAN, B.; BURNS, S. P.; BUYSSE, P.; CALE, P.; CAVAGNA, M.; CELLIER, P.; CHEN, S.; CHINI, I.; CHRISTENSEN, T. R.; CLEVERLY, J.; COLLALTI, A.; CONSALVO, C.; COOK, B. D.; COOK, D.; COURSOLLE, C.; CREMONESE, E.; CURTIS, P. S.; D'ANDREA, E.; ROCHA, H. da; DAI, X.; DAVIS, K. J.; DE CINTI, B.; DE GRANDCOURT, A.; DE LIGNE, A.; OLIVEIRA JUNIOR, R. C. de; DELPIERRE, N.; DESAI, A. R.; DI BELLA, C. M.; DI TOMMASI, P.; DOLMAN, H.; DOMINGO, F.; DONG, G.; DORE, S.; DUCE, P.; DUFRÊNE, E.; DUNN, A.; DUSEK, J.; EAMUS, D.; EICHELMANN, U.; ELKHIDIR, H. A. M.; EUGSTER, W.; EWENZ, C. M.; EWERS, B.; FAMULARI, D.; FARES, S.; FEIGENWINTER, I.; FEITZ, A.; FENSHOLT, R.; FILIPPA, G.; FISCHER, M.; FRANK, J.; GALVAGNO, M.; GHARUN, M.; GIANELLE, D.; GIELEN, B.; GIOLI, B.; GITELSON, A.; GODED, I. B.; GOECKEDE, M.; GOLDSTEIN, A. H.; GOUGH, C. M.; GOULDEN, M. L.; GRAF, A.; GRIEBEL, A.; GRUENING, C.; GRÜNWALD, T.; HAMMERLE, A.; HAN, S.; HAN, X.; HANSEN, B. U.; HANSON, C.; HATAKKA, J.; HE, Y.; HEHN, M.; HEINESCH, B.; HINKO-NAJERA, N.; HÖRTNAGL, L.; HUTLEY, L.; IBROM, A.; IKAWA, H.; JACKOWICZ-KORCZYNSKI, M.; JANOUS, D.; JANS, W.; JASSAL, R.; JIANG, S.; KATO, T.; KHOMIK, M.; KLATT, J.; KNOHL, A.; KNOX, S.; KOBAYASHI, H.; KOERBER, G.; KOLLE, O.; KOSUGI, Y.; KOTANI, A.; KOWALSKI, A.; KRUIJT, B.; KURBATOVA, J.; KUTSCH, W. L.; KWON, H.; LAUNIAINEN, S.; LAURILA, T.; LAW, B.; LEUNING, R.; LI, Y.; LIDDELL, M.; LIMOUSIN, J.; LION, M.; LISKA, A.; LOHILA, A.; LÓPEZ-BALLESTEROS, A.; LÓPEZ-BLANCO, E.; LOUBET, B.; LOUSTAU, D.; LUCAS-MOFFAT, A.; LÜERS, J.; MA, S.; MACFARLANE, C.; MAGLIULO, V.; MAIER, R.; MAMMARELLA, I.; MANCA, G.; MARCOLLA, B.; MARGOLIS, H.; MARRAS, S.; MASSMAN, W.; MASTEPANOV, M.; MATAMALA, R.; MATTHES, J. H.; MAZZENGA, F.; MCCAUGHEY, H.; MCHUGH, I.; MCMILLAN, A. M. S.; MERBOLD, L.; MEYER, W.; MEYERS, T.; MILLER, S. D.; MINERBI, S.; MODEROW, U.; MONSON, R. K.; MONTAGNANI, L.; MOORE, C. E.; MOORS, E.; MOREAUX, V.; MOUREAUX, C.; MUNGER, J. W.; NAKAI, T.; NEIRYNCK, J.; NESIC, Z.; NICOLINI, G.; NOORMETS, A.; NORTHWOOD, M.; NOSETTO, M.; NOUVELLON, Y.; NOVICK, K.; WALTER, O.; OLESEN, J. E.; OURCIVAL, J.; PAPUGA, S. A.; PARMENTIER, F.; PAUL-LIMOGES, E.; PAVELKA, M.; PEICHL, M.; PENDALL, E.; PHILLIPS, R. P.; PILEGAARD, K.; PIRK, N.; POSSE, G.; POWELL, T.; PRASSE, H.; PROBER, S. M.; RAMBAL, S.; RANNIK, U.; RAZ-YASEEF, N.; REED, D.; RESCO DE DIOS, V.; RESTREPO-COUPE, N.; REVERTER, B. R.; ROLAND, M.; SABBATINI, S.; SACHS, T.; SALESKA, S. R.; SÁNCHEZ-CAÑETE, E. P.; SANCHEZ-MEJIA, Z. M.; SCHMID, H. P.; SCHMIDT, M.; SCHNEIDER, K.; SCHRADER, F.; SCHRODER, I.; SCOTT, R. L.; SEDLÁK, P.; SERRANO-ORTÍZ, P.; SHAO, C.; SHI, P.; SHIRONYA, I.; SIEBICKE, L.; SIGUT, L.; SILBERSTEIN, R.; SIRCA, C.; SPANO, D.; STEINBRECHER, R.; STEVENS, R. M.; STURTEVANT, C.; SUYKER, A.; TAGESSON, T.; TAKANASHI, S.; TANG, Y.; TAPPER, N.; THOM, J.; TIEDEMANN, F.; TOMASSUCCI, M.; TUOVINEN, J.; URBANSKI, S.; VALENTINI, R.; VAN DER MOLEN, M.; VAN GORSEL, E.; VAN HUISSTEDEN, K.; VARLAGIN, A.; VERFAILLIE, J.; VESALA, T.; VINCKE, C.; VITALE, D.; VYGODSKAYA, N.; WALKER, J. P.; WALTER-SHEA, E.; WANG, H.; WEBER, R.; WESTERMANN, S.; WILLE, C.; WOFSY, S.; WOHLFAHRT, G.; WOLF, S.; WOODGATE, W.; YUELIN, L.; ZAMPEDRI, R.; ZHANG, J.; ZHOU, G.; ZONA, D.; AGARWAL, D.; BIRAUD, S.; TORN, M.; PAPALE, D. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, v. 7, Article number 225, 2020. 27 p.| Biblioteca(s): Embrapa Amazônia Oriental. |
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