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Efficacy and mechanisms of bacterial biocontrol agents against <i>Leptosphaeria maculans</i> (Desm.) causing blackleg disease of canola (<i>Brassica napus L</i>.)

2021· dissertation· en· W7133053179 sur OpenAlex

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Notice bibliographique

RevueCharles Sturt University Research Output (CRO) · 2021
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant-Microbe Interactions and Immunity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeptosphaeria maculansBlacklegCanolaBiological pest controlFungicideMyceliumPhomaDisease management
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Blackleg is a destructive and economically important disease of canola (Brassica napus L.) in Australia and other canola cultivation regions such as Europe and Canada. The disease is caused by the fungal pathogen, Leptosphaeria maculans (Desm.) Ces &amp; De Not (anamorph Phoma lingam Tode: Fr. /Desm). In Australia, the presence of this pathogen resulted in an epidemic in 2003 due to the breakdown of host resistance. Changes in farming practices and the intensified cultivation of canola has also increased the amount of stubble present in the field, therefore potentially leading to increased sexual reproduction of L. maculans and ascospore showers on canola plants. The use of fungicides has increased over the years, and this is raising environmental concerns. Biological control of plant pathogens is a potentially sustainable and environmentally friendly disease management strategy. Biocontrol products based on species of Bacillus have proven to be effective against a variety of pathogens in the field. Additionally, Bacillus spp. are also known for their persistence in harsh environmental conditions. Therefore, this study aimed to isolate and screen Bacillus species with antagonistic efficacy towards L. maculans, and to understand the underlying mechanisms of biocontrol.An extensive collection of rhizospheric and phyllospheric bacteria (532) was accessed and spore forming bacteria were identified by heat shock method, with 148 of these surviving the treatment and determined to be likely Bacillus spp. Screening of antagonistic capability towards L. maculans identified 19 potential biocontrol agents (BCAs) with the greatest inhibition of mycelial growth (≥80%), which were then characterised via sequencing of the 16S rRNA gene. Identifications were further confirmed using multigene sequence analysis based on Gyr A, Che A and an antiporter gene, Tet-b. From this, nine highly antagonistic and closely related Bacillus strains were identified to species level and phylogenetic analysis was carried out for comparative purposes. Volatile organic compounds (VOCs) produced by these nine strains showed a differential reaction against a set of 14 isolates of L. maculans with known virulence. VOCs of Bacillus amyloliquefaciens strain B89 and Bacillus velezensis strain B94 demonstrated comparatively high inhibition potential in comparison to other Bacillus strains. The VOCs of these strains were also effective in in planta closed container assays. SPME-GC-MS was used for the detection and comparative analysis of VOCs produced by B89 and B94 individually and in the presence of L. maculans. Most of the detected volatiles belonged to fatty acid derivatives, aldehydes, esters, furans, ketones, lactones and benzoids and L. maculans was able to modulate the profile of bacterial VOCs.Detection of antibiotic production by a particular bacterium is important in determining its capability to be an effective BCA. Biosynthetic genes belonging to different operons within Bacillus species genomes, and which were previously reported to be involved in the synthesis of lipopeptides or other secondary metabolites, were selected to screen a group of Bacillus species. Polymerase chain reaction analysis was performed for the detection of eight genes related to lipopeptide production and two genes related to the biosynthesis of chitinase and β, 1-3 glucanase. B. velezensis (B94) demonstrated the presence of eight genes whereas, B. amyloliquefaciens (B89) harboured seven genes of interest. MALDI-TOF-MS analysis of whole cell surface extracts of B89 and B94 confirmed that these strains were able to produce different analogues of surfactin, iturin A, iturin C, bacillomycin, fengycin and mycosubtilin. The antagonistic potential of these strains was mainly dependent on the non- volatile/diffusible compounds as compared to the VOCs, and the presence of L. maculans changed the profile of detected lipopeptides in B89 and B94.An analysis of crude cultural filtrates of B. amyloliquefaciens (B89) and B. velezensis (B94) against mycelial growth and conidial viability determined that these cultural filtrates have high antagonistic potential against L. maculans. Further to this, in planta assays using Brassica napus (AV-Garnet) determined that these filtrates can promote lateral root growth. When the roots of canola seedlings were exposed to the bacterial cultural filtrates, protection against infection by L. maculans was recorded for detached leaves, indicating a systemic protective effect. However, the application of Bacillus strains and L. maculans on separate cotyledons demonstrated no protective or inhibitory effect on the pathogen. The use of rifampicin (Rif) mutants established that B89 and B94 are able to colonise B. napus seedlings and that they have the potential to be endophytic, therefore providing benefits to the host. In planta assays at seedling stage showed complete inhibition of L. maculans after the prior application of B89 and B94.In conclusion, B. amyloliquefaciens (B89) and B. velezensis (B94) show promise as BCAs of L. maculans in canola. Furthermore, the secondary metabolites produced by these Bacillus strains are strain specific and they are able to antagonise L. maculans using multiple modes of action.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,456
Score d'incertitude au seuil0,790

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,266
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle