Host Plant Chemistry Affects Fungal Interactions, Which Influence the Production of Volatile Fungal Metabolites
Notice bibliographique
Résumé
Mountain pine beetle (MPB) has recently expanded its host range to novel jack pine forests in Alberta. Invasion success of MPB may depend on the outcome of interactions between its primary symbiotic fungus Grosmannia clavigera with other organisms sharing the same host. Among resources-sharing organisms, the pine engraver beetle and its vectored fungus Ophiostoma ips are likely to interact with G. clavigera as the pine engraver beetle and its vectored fungus are one of the major disturbance agents on jack pine. On MPB historical host lodgepole pine, beetle brood production significantly decreased in response to the presence of the pine engraver beetles, likely as a result of competition between two fungal species. We hypothesized that the outcome of these interactions between two fungal species will likely affect MPB development in jack pine trees. However, lodgepole pine and jack pine differ in both primary and secondary phytochemistry. Whether such variation could affect the fungal growth as well as the fungal interaction is unknown. Besides phytochemistry, volatile organic compounds (VOCs) produced by beetle symbiotic fungi can also affect fungal growth and reproduction, and function as infochemicals to mediate fungal interaction. However, not much research has focused on the VOC of phytopathogenic fungi, especially how the presence of one fungal species could affect the VOC profile of a given fungal species. We investigated whether: 1) different concentrations of host nitrogen and monoterpenes affect the growth of and interaction between the beetle symbiotic fungi; 2) the presence of a resource-sharing fungus qualitatively and quantitively affect the VOCs production of a given fungal species. We found that jack pine phloem nitrogen levels did not alter the growth of either fungal species as well as their interactions. In the absence of monoterpenes, O. ips had a positive impact on the growth of G. clavigera suggesting commensalism. However, the presence of monoterpenes either promoted or inhibited the growth of both fungi, and furthermore altered the outcome of species interactions from commensalism to amensalism. These finding show that MPB could still obtain the benefit from its symbiotic fungus on jack pine as fungi can establish on jack pine. However, the benefits could be suppressed on jack pine which is also attacked by the pine engraver beetle and O. ips. As for the VOC production, two fungal species share similar VOCs profile revealing their similar ecological function as phytopathogenic fungi. However, each fungus produced qualitatively and quantitively less VOCs in response to the presence of another fungus. The reduction emission of FVOC shows that phytopathogenic fungi could interact at distance by sensing VOC produced by another fungus. Overall, our study is the first to demonstrate how host phytochemistry shifts fungal interaction from facilitation to no-effect. Another interesting finding is how the presence of potential competitor fungus qualitatively and quantitively affect the VOC production of a given fungal species.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».