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Record W2943976803 · doi:10.1105/tpc.19.00350

The Emergence of a Mobile Signal for Systemic Acquired Resistance

2019· editorial· en· W2943976803 on OpenAlexaff
Hainan Tian, Yuelin Zhang

Bibliographic record

VenueThe Plant Cell · 2019
Typeeditorial
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologySystemic acquired resistanceResistance (ecology)SIGNAL (programming language)EcologyGeneticsComputer scienceGene

Abstract

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Systemic acquired resistance (SAR) is a well-known phenomenon in higher plants in which local activation of a defense response by primary infection triggers broad-spectrum resistance against microbial pathogens in the distal parts of the plant. Since its initial discovery in the 1960s, it has attracted attention not only from scientists, due to its fascinating biology, but also from agroindustry, because of its potential application in crop protection. One intriguing outstanding question has been how the long-distance communication is achieved in SAR. Arabidopsis (Arabidopsis thaliana) was adopted as a model organism to study the mechanism of SAR in the late 1980s. Forward genetic screens of different flavors were designed by various groups to study SAR. Studies on Arabidopsis mutants blocking the perception or biosynthesis of the defense hormone salicylic acid (SA) suggest that SA plays an essential role in SAR. However, grafting experiments using transgenic tobacco (Nicotiana tabacum) plants expressing the bacterial salicylate hydroxylase NahG indicated that SA is unlikely to be a mobile signal for SAR. In addition to genes involved in SA signaling, AGD2-LIKE DEFENSE RESPONSE PROTEIN1 (ALD1) was found to play an essential role in SAR (Song et al., 2004). In ald1 knockout mutant plants, SAR is completely lost. ALD1 encodes an aminotransferase, suggesting that it is involved in the generation of an amino acid-derived defense signal. However, its natural substrate and product was unknown for many years, and how it contributes to SAR was unclear. In 2012, the Zeier group reported in The Plant Cell that ald1 plants are deficient in the biosynthesis of pipecolic acid (Pip; Návarová et al., 2012), a nonproteinogenic amino acid known to exist in plants for decades. Upon pathogen infection, Pip accumulates in both local and systemic tissue. Treatment of Pip induces SAR-like defense priming and restores SAR in ald1 plants, suggesting that Pip is either an intermediate substrate for the production of the active signal or itself an SAR signaling molecule. This seminal work stimulated further investigations into the biosynthesis of Pip and the mechanism of how Pip contributes to immune signaling. Meanwhile, in a forward genetic screen to systematically isolate SAR-deficient (SARD) mutants, we obtained a large number of Arabidopsis mutants with strong SAR deficiency phenotypes, including multiple alleles of ald1 and sard4. When SARD4 was isolated by positional cloning, it was found to encode a protein with some similarity to bacterial Orn cyclodeaminase (Ding et al., 2016 ), but its exact biochemical function was unknown. In close collaboration with Dr. Ivo Feussner's group, we found that sard4 mutant plants are deficient in Pip production. Further biochemical and metabolite analysis showed that Pip is produced using Lys as a substrate in two steps of enzymatic reactions (Ding et al., 2016; Hartmann and Zeier, 2019). ALD1 deaminates Lys to form Δ1-piperideine-2-carboxylic acid, which is further converted to Pip by the reductase SARD4. Characterization of sard4 mutants revealed that Pip still accumulates at high levels in local leaves but is at very low levels in systemic tissue, suggesting that under physiological conditions there is very little movement of Pip from the local infected leaves to the distal parts of the plants and that Pip may not serve as an SAR mobile signal (Ding et al., 2016). Another enigmatic enzyme found to be required for SAR is FLAVIN-DEPENDENT MONOOXYGENASE1 (FMO1). Loss-of-function fmo1 mutants isolated from both forward and reverse genetic studies showed strong SAR deficiency, whereas overexpression of FMO1 leads to enhanced resistance to pathogens (Hartmann and Zeier, 2019). In fmo1 mutant plants, Pip levels are significantly higher than in the wild type (Návarová et al., 2012). On the other hand, blocking Pip biosynthesis by mutations in ALD1 or SARD4 results in suppression of the constitutive defense responses in transgenic plants overexpressing FMO1 (Ding et al., 2016), suggesting that ALD1, SARD4, and FMO1 might be functioning in the same metabolic synthesis pathway and that Pip could be the substrate of FMO1. Based on the hypothesis that FMO1 catalyzes the conversion of Pip to its N-oxidized derivative, Zeier’s group performed comparative gas chromatography-mass spectrometry analysis on metabolites extracted from wild-type, ald1, and fmo1 plants, which led to the identification of N-hydroxypipecolic acid (NHP) as a pathogen-induced metabolite that is produced in an ALD1- and FMO1-dependent manner (Hartmann et al., 2018). Subsequent in vitro assay using purified recombinant FMO1 protein confirmed that FMO1 indeed serves as a monooxygenase to convert Pip to NHP. Meanwhile, an independent study using untargeted metabolic analysis of Arabidopsis fmo1 seedlings identified an O-glycosylated form of NHP, N-OGlc-Pip, as an FMO1-dependent metabolite (Chen et al., 2018). The conversion of Pip to NHP by FMO1 was confirmed using transiently expressed FMO1 protein in Nicotiana benthamiana leaves. Pretreatment of NHP leads to enhanced resistance against the virulent pathogens Psm ES4326 and Hyaloperonospora arabidopsidis Noco2 and rescues the SAR defects in ald1 and fmo1 mutants, suggesting that NHP functions as an SAR inducer. Infiltration of local leaves with NHP induces the accumulation of N-OGlc-Pip in both local and systemic leaves, suggesting that N-OGlc-Pip can move from local to systemic tissue (Chen et al., 2018). Intriguingly, free NHP was not detectable in these samples or in the samples pretreated with bacteria, suggesting that either N-OGlc-Pip or another yet-to-be identified NHP-derived metabolite may serve as an SAR mobile signal. It is also possible that NHP is the mobile signal that can be rapidly converted to N-OGlc-Pip and that the free NHP level is simply too low to be detected by the LC-MS method applied. The identification of the NHP biosynthesis pathway further paved the way for studying the regulation of Pip and NHP biosynthesis (Hartmann and Zeier, 2019). SARD1 and Calmodulin Binding Protein60-like g (CBP60g) are two plant-specific transcription factors originally shown to regulate the induction of SA biosynthesis upon pathogen infection. Interestingly, they also promote Pip biosynthesis by activating the expression of ALD1 and SARD4. The biosynthesis of NHP is most likely regulated by SARD1 and CBP60g as well, since FMO1 was identified as a direct target of these two transcription factors in chromatin immunoprecipitation analysis and the induction of FMO1 by Psm ES4326 is largely blocked in the sard1 cbp60g double mutant (see figure). Biosynthesis and Regulation of NHP. (A) NHP is generated from Lys through three step-wise reactions catalyzed by ALD1, SARD4, and FMO1. (B) Pathogen infection induces the expression of SARD1 and CBP60g, which in turn activates the expression of genes involved in SA biosynthesis such as ICS1, EDS5, and PBS3 as well as the expression of ALD1, SARD4, and FMO1, leading to increased SA and NHP levels. NHP further amplifies defense responses by inducing SA biosynthesis genes by a yet-to-be-determined mechanism. The identification of Pip and NHP as plant immunity-inducing metabolites is a milestone in our understanding of SAR signaling. These studies also raise some important questions on the mode of action of NHP. Whether it is NHP or its derivative that is directly perceived in distal tissue remains to be determined. If NHP is the final active mobile molecule for SAR induction, how does it travel from local to distal tissues? Is there a receptor to transduce this mobile signal and how its perception leads to the upregulation of genes involved in SA biosynthesis and increased SA level? Addressing these questions will be crucial for further better understanding of the mechanism of SAR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0020.001
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0100.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.213
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations23
Published2019
Admission routes1
Has abstractyes

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