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Enregistrement W3108501702 · doi:10.1104/pp.20.01463

A Role for Melatonin in the Defense of Sweet Oranges against Citrus Greening Disease

2020· letter· en· W3108501702 sur OpenAlexaff
Mehran Dastmalchi

Notice bibliographique

RevuePLANT PHYSIOLOGY · 2020
Typeletter
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePhytoplasmas and Hemiptera pathogens
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésGreeningOrange (colour)Citrus fruitOrange juiceHorticultureMelatoninBiologyFood scienceEcology

Résumé

récupéré en direct d'OpenAlex

If you regularly enjoy a cold glass of orange juice, freshly squeezed or store-bought (who has time for the former, really?), then you should know that the future of this drink is at stake. Citrus greening disease or Huánglóngbing (HLB) has been wreaking havoc on the citrus industry worldwide for decades (Bové, 2006). This disease of citrus trees is wrought by a genus of bacteria named Candidatus Liberibacter spp., borne by psyllids, small plant-feeding insects. In Florida, the outright majority of orange trees are affected by HLB, which damages the tree, reduces yield, and renders oranges sour and green at the bottom (Dala-Paula et al., 2019). The disease is on the rise from California to Brazil and is likely to be exacerbated by climate change (Alves et al., 2020). Plants, including citrus trees, have a range of defense mechanisms against pathogens, which are orchestrated by signaling molecules known as phytohormones (plant hormones). These molecules are small organic compounds that occur at exceedingly low concentrations but manage to coordinate physiological processes throughout the plant. In this issue of Plant Physiology, Nehela and Killiny (2020) address the role of melatonin, a naturally occurring phytohormone, in the citrus response to HLB. They have focused their efforts on the ‘Valencia’ sweet orange (Citrus × sinensis). In this case, the pathogen is the heat-tolerant Candidatus Libiribacter asiaticus and its insect vector, Diaphorina citri, which together execute HLB disease. Melatonin (N-acetyl-5-methoxytryptamine) is ubiquitously spread across all kingdoms of life and is prominently thought of as a sleep regulator in humans (Homo sapiens). In plants, melatonin has principally been considered an antioxidant, controlling the pool of reactive oxygen and nitrogen species. A body of work has revealed its role in multiple physiological processes, such as growth, rooting, photosynthesis, fruit maturation, and protection against abiotic and biotic stressors (for review, see Arnao and Hernández-Ruiz, 2019). The recent identification of a potential plant melatonin receptor solidified its status as a phytohormone (Wei et al., 2018). In the article by Nehela and Killiny (2020), the authors detected endogenous melatonin for the first time in citrus leaves and investigated its role in plant defense. HLB pathogenesis and plant response are difficult to characterize, as the disease is delivered in a one-two punch. Insects feeding on the phloem lead to wounding and incite the necrotrophic defense pathway, mediated by jasmonic acid (JA) and ethylene. The bacteria are delivered from the salivary glands of the insect, inducing a biotrophic response mediated by salicylic acid (SA). The nature of the cross talk between the necrotrophic and biotrophic responses has long been debated, and at times it can appear antagonistic (Petersen et al., 2000) or synergistic (Schenk et al., 2000). The work of Nehela and Killiny (2020) sheds some light on the role of melatonin in plant defense and its association with both pathways (Fig. 1). Melatonin conducting a defense response in ‘Valencia’ sweet orange leaves against HLB disease. Nehela and Killiny (2020) propose a model for the cascade of downstream effects from infestation (D. citri), infection (Ca. L. asiaticus), or supplementation of melatonin and the complex cross talk between them. Exogenous melatonin appears to induce the biosynthesis of plant melatonin, salicylates, auxins, JA, and abscisic acid. Solid lines with arrows indicate well-established/confirmed pathways, dashed lines with whiskers signify negative reactions, and dotted lines represent hypothetical mechanisms or uncharacterized elements. Adapted from Nehela and Killiny (2020), figure 13. First, the authors determined that melatonin content in citrus leaves is induced by Ca. L. asiaticus bacterial infection rather than by the insect vector, D. citri. Melatonin biosynthetic genes are also exclusively up-regulated by bacterial infection. Similarly, bacterial infection led to a higher concentration of SA in leaves. Conversely, insect infestation induced the JA necrotrophic pathway, while bacterial infection alone did not have a significant impact. On this basis, melatonin is strongly associated with the SA biotrophic pathway rather than with the JA response to wounding. The authors also studied the effect of melatonin independent of the pathogen. They supplemented unaffected citrus trees with melatonin at various concentrations. The application of low levels of melatonin (0.05–0.1 mm) was sufficient to induce the expression of melatonin biosynthetic genes. The self-regulatory role of melatonin is consistent with previous research (Wei et al., 2018). Furthermore, melatonin supplementation, at the same low concentrations, enhanced the content of four other phytohormones: salicylates (including SA), auxins, JA, and abscisic acid and their cognate genes. The induction of the necrotrophic response (JA) is surprising, as the same does not happen when melatonin levels are raised by bacterial infection. Melatonin supplementation up-regulated the transcript levels of many genes involved in defense response and hormone biosynthesis, including an impressive 12.6-fold increase in the expression of Chorismate Synthase (CS). The enzyme CS catalyzes the last step in the shikimate pathway to produce chorismate, used for the biosynthesis of Trp, Phe, and Tyr. CS is a veritable hub of phytohormone biosynthesis: Trp is the precursor of auxins and melatonin, while Phe is the precursor for SA. Both amino acids are also precursors for a gamut of specialized metabolites, including indole alkaloids and anthocyanins, many of which play roles in plant defense. The immunomodulatory role of melatonin is also seen in natural varieties of citrus. Higher levels of endogenous melatonin and SA in Citrus latipes and Mexican lime (Citrus × aurantiifolia) were associated with improved tolerance against Ca. L. asiaticus (Nehela and Killiny, 2020). Introducing such natural traits, by hybrid crosses, into sweet oranges would be an arduous task that could be accelerated by identifying the appropriate molecular targets and editing the genome. However, this last step is unlikely to be received favorably by consumers, raising the stakes in the hunt for HLB cures. Nehela and Killiny (2020) also investigated the possibility that melatonin serves an antimicrobial role against Ca. L. asiaticus. Melatonin supplementation, at low levels (0.05–0.1 mm), reduced bacterial titers in HLB-affected citrus leaves. Unfortunately, the inhibitory role of melatonin against Candidatus Libiribacter spp. cannot be directly quantified, as these species are not amenable to culturing. Promisingly, the inhibitory activity of melatonin has been shown against several phytopathogenic fungi in cultured media (Arnao and Hernández-Ruiz, 2015). Currently, there is no cure for HLB-affected citrus trees, except for control of the psyllids and attempts at boosting the plant immune system. Naturally occurring molecules such as melatonin could be part of a silver-bullet defense against the scourge of HLB disease and other microbial or viral pathogens. The work by Nehela and Killiny (2020) emphasizes the utility of plant-derived melatonin as a biostimulator and protective agent, which can be applied to crops. Translation of this work into agricultural advances that might save your morning glass of orange juice will require close analysis of the pleiotropic effects of melatonin and its inextricable link to SA activity.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0210,010
Charge utile insuffisante (le modèle a refusé de juger)0,0050,004

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 Opus0,028
Tête enseignante GPT0,210
Écart entre enseignants0,183 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2020
Routes d'admission1
Résumé présentoui

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