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Increasing the resilience of plant immunity to a warming climate
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Abstract Extreme weather conditions associated with climate change affect many aspects of plant and animal life, including the response to infectious diseases. Production of salicylic acid (SA), a central plant defence hormone 1–3 , is particularly vulnerable to suppression by short periods of hot weather above the normal plant growth temperature range via an unknown mechanism 4–7 . Here we show that suppression of SA production in Arabidopsis thaliana at 28 °C is independent of PHYTOCHROME B 8,9 (phyB) and EARLY FLOWERING 3 10 (ELF3), which regulate thermo-responsive plant growth and development. Instead, we found that formation of GUANYLATE BINDING PROTEIN-LIKE 3 (GBPL3) defence-activated biomolecular condensates 11 (GDACs) was reduced at the higher growth temperature. The altered GDAC formation in vivo is linked to impaired recruitment of GBPL3 and SA-associated Mediator subunits to the promoters of CBP60g and SARD1 , which encode master immune transcription factors. Unlike many other SA signalling components, including the SA receptor and biosynthetic genes, optimized CBP60g expression was sufficient to broadly restore SA production, basal immunity and effector-triggered immunity at the elevated growth temperature without significant growth trade-offs. CBP60g family transcription factors are widely conserved in plants 12 . These results have implications for safeguarding the plant immune system as well as understanding the concept of the plant–pathogen–environment disease triangle and the emergence of new disease epidemics in a warming climate.
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![Extended Data Fig. 1 The SA pathway is downregulated at elevated temperatures in different plant species examined. a–b, SA levels in 4-week-old Col-0 plants at 24 h after treatment [i.e., 1 day post-inoculation (dpi)] with flg22 peptide treatment (a) or Pst DC3000(avrRps4) inoculation [1.0 x 108 Colony Forming Units (CFU) mL−1] (b) at 23 °C and 28 °C. c–d, Transcript levels of BnaPR1 in leaves of 4-week-old rapeseed Westar plants infiltrated with mock (0.25 mM MgCl2) or Pst DC3000 [1.0 x 105 Colony Forming Units (CFU) mL−1] (c) and NtPR1 in leaves of 4-week-old tobacco plants infiltrated with mock (0.25 mM MgCl2) or Ps tabaci 11528 [1.0 x 106 Colony Forming Units (CFU) mL−1] (d) at 24 h post-inoculation (1 dpi) at 23 °C and 28 °C. e, BnaPR1 expression levels in leaves of 4-week-old rapeseed Westar plants 1 day after mock (0.1% DMSO) or 50 µM BTH treatment at 23 °C and 28 °C f, SA marker gene (SlPR1b) expression levels in 4-week-old Castlemart tomato plants 1 day after mock (0.1% DMSO) or 100 µM BTH treatment at 23 °C and 32 °C. g, SA marker gene (OsPR1b) expression levels in 5-week-old rice plants 1 day after mock (0.1% DMSO) or 200 µM BTH treatment at 28 °C and 35 °C. Results show the means ± S.D. [n = 3 (c, e–g) or 4 (a, b, d) biological replicates] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/9c73eaba23f24e5996b3ba4fd33fd413/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-5.jpg)
![Extended Data Fig. 2 Basal resistance to Pst DC3000 at control (23 °C) and elevated temperature (28–30 °C) in constitutively activated phyB and ELF3 thermosensor lines and in genetically activated SA biosynthetic and signalling mutants. a–f, Symptom expression at 3 day post-inoculation (dpi) (a, d), in planta Pst DC3000 bacterial levels at 3 dpi (b, e) and SA levels of mock (0.25 mM MgCl2)- and Pst DC3000-inoculated leaves [1.0 x 106 Colony Forming Units (CFU) mL−1] at 1 dpi (c, f) of Ler (a–c), Col-0 (d–f), 35S::PHYBY276H (a–c), and BdELF3-OE (d–f). g–j, Symptom expression at 3 dpi (g, i) and in planta Pst DC3000 bacterial levels at 3 dpi (h, j) of Col-0 (g–j), 35S::ICS1 (g, h), and npr1S11D/S15D (i, j). k–p, Symptom expression at 3 dpi (k,n), in planta Pst DC3000 bacterial levels at 3 dpi (l, o) and SA levels of mock- and Pst DC3000-inoculated leaves at 1 dpi (m, p) of Col-0 (k–p), npr3/4 (k–m), and 35S::TGA1 (n–p). Results show the means ± S.D. [n = 4 (c, e, j, l, m, p) or n = 3 (h, o) biological replicates] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results show the means ± S.D. [(b) n = 4 biological replicates except 35S::PHYBY276H at 30 °C (n = 3 biological replicates), (f) n = 4 biological replicates except BdELF3-OE, Pst at 23 °C (n = 3 biological replicates)] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/fae0fe7e07874823800e17c736762095/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-6.jpg)
![Extended Data Fig. 3 Effect of elevated temperature on transcript levels, protein levels and promoter recruitment of SA pathway regulators. a–d, Endogenous EDS1 (a), PAD4 (b), WRKY75 (c), and BSMT1 (d) transcript levels of samples in Fig. 1b at 24 h after treatment (1 dpi). e, CBP60g gene expression levels in Col-0 and npr1–6 plants at 24 h after Pst DC3000 inoculation [1.0 x 106 Colony Forming Units (CFU) mL−1] at 23 °C. f, ChIP-qPCR analysis of 35S::TGA1-4myc using anti-myc antibody and primer sets indicated in Fig.2f. Binding of TGA1-myc to CBP60g locus is not affected by temperature in mock (0.1% DMSO)- or BTH-treated samples (P-value = 0.7903 and 0.9566, respectively). g, Immunoblot results of 35S::TGA1-myc used for ChIP-qPCR analyses in (f). h, NPR1 immunoblot of NPR1pro::NPR1-YFP plant cytosolic and nuclear protein fractions 24 h after BTH treatment at 23 °C and 28 °C. Both NPR1 oligomers (high molecular weight) and monomers (low molecular weight) are indicated by arrowheads. Anti-UGPase immunoblot is shown as the cytoplasmic marker control. i, ChIP-qPCR results of NPR1pro::NPR1-YFP using anti-MED6 antibody and primer sets indicated in Fig.2f. j, Immunoblot result of MED16pro::MED16-3flag used for ChIP-qPCR analysis in Fig. 2e. k, Immunoblot results of NPR1pro::NPR1-YFP using anti-MED6 antibody used for ChIP-qPCR analyses in (i). l, ChIP-qPCR results of 35S::CDK8-myc using anti-myc antibody and primer sets indicated. m, Immunoblot results of 35S::CDK8-myc using anti-myc antibody used for ChIP-qPCR analyses in (l). For immunoblot (g, j, k, m), stained RuBisCO large subunits are shown as loading controls. Numbers in panels (g, h, j, k, m) indicate relative protein band signal intensities compared to the corresponding band denoted with a * symbol(s). For gel/blot source data, see Supplementary Fig. 1. For ChIP analyses, the TA3 transposon was used as the negative control target locus. Primer positions (P1 for promoter region and P2 for coding region) are indicated in Fig. 2f. Antibody information is included in Supplementary Table 5. Result in (a–e) shows the means ± S.D. [n = 4 (a–d) or 3 (e) biological replicates] from one representative experiment [of three (a–d) or two (e) independent experiments] analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (g, h, j, k, m) show one representative experiment [of two (g, h) or three (j, k, m) independent experiments]. Results in (f, i, l) are the average ± S.D. [of three independent experiments (n = 3 experiments)], analyzed with two-way ANOVA with Tukey’s HSD for significance. Exact P-values for those comparisons that are greater than 0.05 are detailed in the Source Data files Source data](/paper-figures/4ed0c447a8ef4e1096a484bc05aaf2be/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-7.jpg)
![Extended Data Fig. 4 Characterization of 35S::eGFP-GBPL3 and GBPL3 OX plants. a, CBP60g gene expression levels in Col-0, gbpl3-3, and 35S::eGFP-GBPL3 plants at 24 h (1 day) after mock (water) or 200 µM salicylic acid spray at 23 °C. b, Immunoblot results of 35S::eGFP-GBPL3 used for ChIP-qPCR analyses in Fig. 2c. Stained RuBisCO large subunits are shown as loading controls. Numbers in the panel indicate relative protein band signal intensities compared to the corresponding band denoted with a * symbol. c, Subcellular fractionation of Arabidopsis Col-0 leaf cells treated with mock (0.1% DMSO) or BTH for 24h at control (23 °C) or elevated temperature (28 °C). Actin and Histone H3 protein were used as markers of cytoplasmic and nuclear fractions, respectively. d, In planta Pst DC3000 [1.0 x 106 Colony Forming Units (CFU) mL−1] bacterial levels in Col-0, GBPL3 OX #16 and GBPL3 OX #20 plants at 3 dpi. e, CBP60g gene expression levels of Col-0 and GBPL3 OX #20 plants at 24 h after mock (0.1% DMSO) or 100 µM BTH spray at 23 °C or 28 °C. f, Time lapse confocal microscopy of Arabidopsis mesophyll cell expressing eGFP-GBPL3 after transfer to 28 °C from 23 °C or to 23 °C from 28 °C. Scale bar, 10 µm. g, Prediction of intrinsically disordered region in AtMED15 (Threshold score: 0.5). h, Confocal microscopy of Nicotiana tabacum mesophyll cells transiently expressing eGFP-GBPL3 and mRFP-MED15 at 23 °C and 28 °C. Six to seven weeks old N. tabacum leaves were infiltrated with Agrobacterium harbouring 35S::eGFP-GBPL3 or 35S::mRFP-MED15-flag. After incubation for 3 days at control temperature, the plants were treated with 100 µM BTH solution and shifted to 23 °C or 28 °C. After 1 day, mesophyll cells were visualized by confocal microscopy. Scale bar, 10 µm. Results in (a, d, e) show the means ± S.D. [(a) n = 4, (d) n = 4 except GBPL3 OX 16 at 23 °C (n = 3 biological replicates), or (e) n = 3 biological replicates] from one representative experiment (of two independent experiments), analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (b, left panel of c) show one representative experiment (of three independent experiments). Result in (right panel of c) shows the means ± S.D. (of three independent experiments) analyzed with one-way ANOVA with Bartlett’s test for significance. Results in (f, h) show one representative experiment (of two independent experiments). Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/e21a8f50163b4219afbcc047ded9a56b/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-8.jpg)
![Extended Data Fig. 5 Characterization of 35S::CBP60g 16 and cbp60g-1 plants. a, CBP60g transcript levels in 4-week old 35S::CBP60g at 23 °C or 28 °C 1 day after mock (0.25 mM MgCl2) treatment or Pst DC3000 infection [1.0 x 106 Colony Forming Units (CFU) mL−1]. b–d, SA levels at 1 dpi (b), symptom expression at 3 dpi (c) and in planta Pst DC3000 [1.0 x 106 Colony Forming Units (CFU) mL−1] bacterial levels at 3 dpi (d) of Col-0 and 35S::CBP60g 16 plants. e–g, bacterial levels in Col-0 and cbp60g-1 plants inoculated with Pst DC3000 (e), Pst DC3000 (avrPphB) (f), and Pst DC3000 (avrRps4) (g) at 3 dpi. h, ICS1 gene expression levels in Pst DC3000 ΔhrcC-infected Col-0 and 35S:CBP60g plants [1.0 x 108 Colony Forming Units (CFU) mL−1] at 12- and 24-h post-inoculation (hpi). i, SA levels in Pst DC3000 ΔhrcC-infected Col-0 and 35S:CBP60g plants (1.0 x 108 Colony Forming Units (CFU) mL−1) at 24 h post-inoculation. j–k, In planta Pst DC3000 (avrPphB) (j), and (avrRps4) (k) bacterial levels of Col-0 and 35S::CBP60g 16 plants at 3 dpi. l, ICS1, EDS1 and PAD4 gene expression levels of Col-0 and 35S::CBP60g plants 1 day after mock (0.25 mM MgCl2)- and Pst DC3000-infiltration [1.0 x 106 Colony Forming Units (CFU) mL−1]. Results show the means ± S.D. [n = 3 (a, f, g, h) or 4 (b, d, i) biological replicates] from one representative experiment [of two (a, h, i) or three (b, d, f, g) independent experiments] analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (e) show the means ± S.D. [n = 4 biological replicates except Col-0 at 23 °C (n = 3 biological replicates)] from one representative experiments (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (j) show the means ± S.D. [n = 4 (Col-0) or 3 (35S::CBP60g 16) biological replicates] from one representative experiments (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (k) show the means ± S.D. [n = 4 biological replicates except 35S::CBP60g 16 at 23 °C (n = 3 biological replicates)] from one representative experiments (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Exact P-values for those comparisons that are greater than 0.05 are detailed in the Source Data files Source data](/paper-figures/1e92189c94664fa68ed2099a709f6bf2/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-9.jpg)
![Extended Data Fig. 6 Characterization of 35S::SARD1 plants. a–c, SA levels at 24 h (a), symptom expression at day 3 (b), in planta bacterial levels at day 3 (c) post-inoculation with mock (0.25 mM MgCl2) or Pst DC3000 solution [1.0 x 106 Colony Forming Units (CFU) mL−1]. d, SARD1 gene expression levels in 4-week-old plants of Col-0 and 35S::SARD1. e, Appearance of 4.5-week-old Col-0 and 35S::SARD1 plants (lines b1 and b2) grown at 23 °C were infiltrated with 1 x 106 CFU mL−1 Pst DC3000 and further incubated at 28 °C for 3 days. Results in (a) show the means ± S.D. [n = 6 (Col-0, 23 °C mock and Col-0, 23 °C Pst), 7 (Col-0, 28 °C mock and Col-0, 28 °C Pst), 8 (all 35S::SARD1 b1 line data), 7 (35S::SARD1 b2 line, 23 °C mock), 8 (35S::SARD1 b2 line, 23 °C Pst), 8 (35S::SARD1 b2 line, 28 °C mock), or 7 (35S::SARD1 b2 line, 28 °C Pst) biological replicates from two independent experiments] analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (c) show the means ± S.D. [n = 3 (Col-0 at 23 °C), 4 (Col-0 at 28 °C), 3 (35S::SARD1 b1 at 23 °C), 4 (35S::SARD1 b1 at 28 °C), or 3 (35S::SARD1 b2 at 23 °C and 28 °C) biological replicates] from one representative experiments (of four independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (d) show the means ± S.D. (n = 3 biological replicates) from one representative experiments (of two independent experiments) analyzed with one-way ANOVA with Bartlett’s test for significance. Result in (e) shows one representative experiment of four independent experiments. Exact P-values for those comparisons that are greater than 0.05 are detailed in the Source Data files Source data](/paper-figures/efbc13b75937459ca862e721c9f22a88/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-10.jpg)
![Extended Data Fig. 7 BnaICS and BnaPR1 transcript levels in transgenic rapeseed plants expressing AtCBP60g-myc. a, A schematic diagram of experimental flow using Agrobacterium-mediated transient expression system. b, Transcript levels of BnaICS1 and myc-tagged transgenes (mRFP-myc or AtCBP60g-myc) in mock (0.25 mM MgCl2)- or Pst DC3000-infiltrated [1.0 x 105 Colony Forming Units (CFU) mL−1] rapeseed leaves at 1 dpi. Leaves were pre-infiltrated with Agrobacterium suspension 3 days before mock or Pst DC3000 treatment. Results in (b) are the means ± S.D. (n = 4 biological replicates from two independent experiments). Statistical analysis was performed using two-way ANOVA with Tukey’s HSD. The experiment was repeated four times with similar results. c, Transcript levels of BnaICS1, BnaPR1 and AtCBP60g-myc in mock- or Pst DC3000-infiltrated [1.0 x 105 Colony Forming Units (CFU) mL−1] wild-type and two independent 35S::AtCBP60g-myc transgenic rapeseed leaves. AtCBP60g transcript level in each leaf sample was quantified (bottom row). No AtCBP60g transcript was detected in Westar samples as control, whereas AtCBP60g transcript was detected in each 35S::AtCBP60g-myc sample. Data in (c) are the means S.E.M. (n = 4 biological replicates). The experiment was repeated twice. Statistical analysis was performed using two-way ANOVA with Tukey’s HSD. n.a., not applicable. Exact P-values for those comparisons that are greater than 0.05 are detailed in the Source Data files Source data](/paper-figures/20bde09219ee4f4caadcdb7cd3589304/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-11.jpg)
![Extended Data Fig. 8 Pst DC3000 bacterial population levels in Arabidopsis Col-0 and the ics1 mutant. a–b, In planta Pst [1.0 x 106 Colony Forming Units (CFU) mL−1] bacterial levels in Col-0 and ics1 (i.e., sid2-2) plants at 23 °C and 30 °C at 1 (a) and 3 (b) dpi. Data are the means ± S.D. (n = 4 biological replicates). The experiment was repeated three times. Statistical analysis was performed using two-way ANOVA with Tukey’s HSD. Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/a520f81a030e4007aa8b96abaebbfb16/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-12.jpg)
![Extended Data Fig. 9 SA accumulation and basal immunity to Pst DC3000 at elevated temperature in plants altered in positive and negative SA regulators. a–e, SA levels at 1 dpi (left panels), symptom expression at 3 dpi (middle panels) and in planta Pst DC3000 bacterial levels at 3 dpi (right panels) of Col-0 (a–e) and 35S::EDS1 (a), 35S::PAD4 (b), 35S::WRKY75 (c), bsmt1 (d) and camta2/3 plants (e) [1.0 x 106 Colony Forming Units (CFU) mL−1]. Results show the means ± S.D. [n = 4 (a, b) biological replicates] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (c) show the means ± S.D. [left panel: n = 4 biological replicates except 35S::WRKY75, Pst at 23 °C (n = 3 biological replicates); right panel: n = 3 biological replicates except 35S::WRKY75 at 23 °C (n = 4 biological replicates)] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (d) show the means ± S.D. [left panel: n = 4 biological replicates; right panel: n = 4 biological replicates except bsmt1, Pst at 28 °C (n = 3 biological replicates)] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Results in (e) show the means ± S.D. [left panel: n = 4 biological replicates except Col-0, Pst at 23 °C (n = 3 biological replicates); right panel: n = 4 biological replicates] from one representative experiment (of three independent experiments) analyzed with two-way ANOVA with Tukey’s HSD for significance. Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/402ae76f6e5a40cf80db28c39bb3ec57/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-13.jpg)
![Extended Data Fig. 10 Characterization of 35S::ICS1, 35S::CBP60g and uORF-CBP60g plants. a, Appearance of 6-week-old Col-0, 35S::ICS1, 35S::CBP60g and uORFs-CBP60g plants. b, Quantification of fresh weights of 6-week-old Col-0, 35S::ICS1, 35S::CBP60g. c, Flowering time phenotypes of Col-0 and 35S::CBP60g plants. d, CBP60g transcript levels in 4-week old Col-0, and 35S::uORFs-CBP60g plants measured by RT-qPCR. Results in (b) show the means ± S.D. [n = 15 (Col-0, 35S::CBP60g), n = 16 (35S::ICS1) biological replicates] from one representative experiment (of two independent experiments) analyzed with one-way ANOVA with Bartlett’s test for significance. Results in (c) show the means ± S.D. (n = 4 biological replicates) from one representative experiment (of two independent experiments) with two-tailed Student’s t-test. Results in (d) show the means ± S.D. (n = 4 biological replicates of two independent experiments) analyzed with one-way ANOVA with Bartlett’s test for significance. Exact P-values for all comparisons are detailed in the Source Data files Source data](/paper-figures/fa5253697f3747608643c3b44c1a57d2/increasing-the-resilience-of-plant-immunity-to-a-warming-climate-figure-14.jpg)
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“Several other variants of Cas9 and Cas12a enzymes have been developed with improved specificity and efficiency, but their efficiency and specificity may vary depending on the different target DNA and utility (Kim et al., 2022).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Kim et al., 2022
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Floral dip: a simplified method for Agrobacterium ‐mediated transformation of Arabidopsis thaliana
Clough, S. J., & Bent, A. F. (1998) · The Plant Journal · doi:10.1046/j.1365-313x.1998.00343.x · Cited by 22,014
Contrasting Mechanisms of Defense Against Biotrophic and Necrotrophic Pathogens
Glazebrook, J. (2005) · Annual Review of Phytopathology · doi:10.1146/annurev.phyto.43.040204.135923 · Cited by 4,380
Isochorismate synthase is required to synthesize salicylic acid for plant defence
Wildermuth, M. C., Dewdney, J., Wu, G., & Ausubel, F. M. (2001) · Nature · doi:10.1038/35107108 · Cited by 2,333
Growth–Defense Tradeoffs in Plants: A Balancing Act to Optimize Fitness
Huot, B., Yao, J., Montgomery, B. L., & He, S. Y. (2014) · Molecular Plant · doi:10.1093/mp/ssu049 · Cited by 1,916
Inducers of Plant Systemic Acquired Resistance Regulate NPR1 Function through Redox Changes
Mou, Z., Fan, W., & Dong, X. (2003) · Cell · doi:10.1016/s0092-8674(03)00429-x · Cited by 1,588
Systemic Acquired Resistance: Turning Local Infection into Global Defense
Fu, Z. Q., & Dong, X. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042811-105606 · Cited by 1,581
Genetic strategies for improving crop yields
Bailey-Serres, J. N., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019) · Nature · doi:10.1038/s41586-019-1679-0 · Cited by 1,556
Intracellular innate immune surveillance devices in plants and animals
Jones, J. D. G., Vance, R. E., & Dangl, J. L. (2016) · Science · doi:10.1126/science.aaf6395 · Cited by 1,147
Plant Immunity: Danger Perception and Signaling
Zhou, J., & Zhang, Y. (2020) · Cell · doi:10.1016/j.cell.2020.04.028 · Cited by 1,090
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Zhu, J., Lolle, S., Tang, A., Guel, B., Kvikto, B., Cole, B., & Coaker, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.07.511353 · Cited by 7
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Scala, V., Scortichini, M., Marini, F., Montagna, D. L., Beccaccioli, M., Micalizzi, K., Cacciotti, A., Pucci, N., Tatulli, G., Fiorani, R., et al. (2024) · Plants · doi:10.3390/plants13162186 · Cited by 6
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Yousefi, A., Koocheki, A., Mahallati, M. N., Khorramdel, S., Trenz, J., Kurdestani, A. M., Ludewig, U., & Maywald, N. J. (2025) · Food and Energy Security · doi:10.1002/fes3.70072 · Cited by 6
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Prasad, A., Chirom, O., & Prasad, M. (2022) · Trends in Microbiology · doi:10.1016/j.tim.2022.07.010 · Cited by 6
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Su, Z., Niu, C., Zhou, S., Xu, G., Zhu, P., Fu, Q., Zhang, Y., & Ming, Z. (2024) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiae260 · Cited by 6
Yu, S., Li, S., Wang, W., & Tang, D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25095049 · Cited by 6
Baking bad: plants in a toasty world with necrotrophs
Muralidhar, S. H., & van Kan, J. A. L. (2024) · New Phytologist · doi:10.1111/nph.19980 · Cited by 6
Lederer, S., Liese, A., Lee, J., & Romeis, T. (2025) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2025.102782 · Cited by 7
Farda, B., Sabbi, E., Fares, R., Djebaili, R., Mignini, A., Mitra, D., & Pellegrini, M. (2026) · Journal of Plant Biochemistry and Biotechnology · doi:10.1007/s13562-026-01042-6 · Cited by 5
A novel stress-inducible dCas9 system for solanaceous plants
Mukherjee, A., Jodder, J., Chowdhury, S., Das, H., & Kundu, P. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.142462 · Cited by 5
Porras, R., Miguel‐Rojas, C., Lorite, I. J., Pérez‐de‐Luque, A., & SILLERO, J. C. (2023) · Agronomy · doi:10.3390/agronomy13102638 · Cited by 5
Student, J. E., Weitz, T. S., Blewett, T., Yaron, S., & Melotto, M. (2024) · Journal of Food Protection · doi:10.1016/j.jfp.2024.100334 · Cited by 5
Amani, K., Shivnauth, V., & Castroverde, C. D. M. (2023) · Plant Direct · doi:10.1002/pld3.509 · Cited by 5
Defense Responses of Native Plant Communities to Alien Plant Invasion
Zhu, Z., Cui, M., Yu, H., Fan, X., Wu, X., Liu, S., Dai, Z., Ren, G., & Du, D. (2025) · Physiologia Plantarum · doi:10.1111/ppl.70492 · Cited by 4
Immune activation reprograms growth mRNA stability to shape plant growth-defense trade-offs
Zhou, G., Niu, R., Zhu, S., Wang, H., Tang, Z., Wang, W., Xiong, S., Long, J., Zhou, Y., Tong, Y., et al. (2026) · Cell Host & Microbe · doi:10.1016/j.chom.2026.02.007 · Cited by 4
How does salicylic acid activate plant immunity?
Cai, Y., Ouyang, Y., Zhang, X., Chen, Y., Zhang, J., Bi, C., Liu, Z., Han, X., Zhang, X., Wang, W., et al. (2026) · New Crops · doi:10.1016/j.ncrops.2026.100112 · Cited by 4
Extra- and intranuclear heat perception and triggering mechanisms in plants
Yang, X., Guan, H., Yang, Y., Zhang, Y., Su, W., Song, S., Liu, H., Chen, R., & Hao, Y. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1276649 · Cited by 4
Sadvakasova, A. K., Kossalbayev, B. D., Zaletova, D. E., Bauenova, M. O., Huang, Z., Zharmukhamedov, S. K., Shabala, S. N., & Allakhverdiev, S. I. (2025) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2025.2494872 · Cited by 4
Climate change effects on plant immune activation
Zarattini, M., & Fagard, M. (2025) · Trends in Plant Science · doi:10.1016/j.tplants.2025.07.009 · Cited by 4
Jie, L., Sanagi, M., Yasuda, S., Yamada, K., Ejima, S., Sugisaki, A., Takagi, J., Nomoto, M., Xin, X., Tada, Y., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2527765122 · Cited by 4
Li, Y., Liu, L., Wang, Q., Wang, Y., Yan, J., Khojasteh, M., Shah, S. M., Xu, Z., & Chen, G. (2024) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2024.08.018 · Cited by 4
Guard Cell Activity of PIF4 Represses Disease Resistance in Arabidopsis
Wang, Z., Pérez, V., & Hua, J. (2024) · Plant Cell & Environment · doi:10.1111/pce.15233 · Cited by 4
Yu, R., Liu, J., Yang, X., Wang, J., & Wang, Y. (2025) · Industrial Crops and Products · doi:10.1016/j.indcrop.2025.120601 · Cited by 4
Liquid–liquid phase separation regulates gene expression in plants
Fu, D., & Jiang, B. (2025) · Agriculture Communications · doi:10.1016/j.agrcom.2025.100084 · Cited by 4
Wei, C., Wu, Y., Ma, Z., Cheng, Y., Guan, Y., Zhang, Y., Feng, Y., Li, X., & Guan, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065326 · Cited by 4
High air humidity dampens salicylic acid pathway and plant resistance via targeting of NPR1Preprint
Yao, L., Jiang, Z., Wang, Y., Wan, S., & Xin, X. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.28.514180 · Cited by 4
Nasim, Z., Karim, N., Blilou, I., & Ahn, J. H. (2025) · Plant Science · doi:10.1016/j.plantsci.2025.112528 · Cited by 3
Photorespiration and plant immunity: Interactions and implications under a changing climate
Chen, J., Yan, Y., Chen, S., & Ahammed, G. J. (2025) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2025.110569 · Cited by 3
Yang, X., Ma, Y., Geng, B., Liu, X., Liu, Y., Sun, J., Liao, H., Gu, Y., & Tang, Y. (2025) · The Plant Cell · doi:10.1093/plcell/koaf260 · Cited by 3
The OsNTL3 ‐ WRKY53 ‐ CatA module confers thermotolerance in rice
Gao, X., An, S., Ma, Z., Chen, M., Xie, W., Li, M., Yu, F., Lü, S., Zhou, L., You, A., et al. (2026) · New Phytologist · doi:10.1111/nph.71125 · Cited by 3
A Multidimensional View of Biomolecular Condensates in Plant Biology
Miao, Y., Wang, Y., Grate, E. V. L., & Fang, X. (2026) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-070725-083459 · Cited by 3
5'UTR Dynamics: Modulating Model Plant Defense Mechanisms against Fungal Threats.
Naz, M., & Chen, Z.-F. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c00286 · Cited by 3
Wen, X., Du, M., Li, T., Cheng, F., Li, S., Zhu, Z., Liu, W., Gu, X., Feng, L., Geng, Y., et al. (2025) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiaf456 · Cited by 3
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Pan, L., Peng, S., Zhang, Y., Chang, H. T., Yang, Y., Guo, D., Guo, Y., Han, Y., Mao, T., Huang, Y., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03814-0 · Cited by 3
Refaiy, A. I., Lilley, C. J., Atkinson, N. J., & Urwin, P. E. (2025) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2025.106308 · Cited by 3
Maia, R. A., Barbosa, M., Franco, A. C., Oki, Y., Romano, M. C. C., Siqueira‐Silva, A. I., Pereira, E. G., Rosa, L. H., Duarte, H. M., Aguirre‐Gutiérrez, J., et al. (2024) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2024.105992 · Cited by 3
Scortichini, M. (2025) · Horticulturae · doi:10.3390/horticulturae11030325 · Cited by 3
Structural basis for heat tolerance in plant NLR immune receptorsPreprint
Grech‐Baran, M., Witek, K., Ahn, H., Lichocka, M., Vargas‐Cortez, T., Barymow-Filoniuk, I., Witek, A. I., Hennig, J., Jones, J. D. G., & Poznański, J. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.17.694812 · Cited by 3
Tuning the rheostat of immune gene translation
Huang, S. (2023) · Stress Biology · doi:10.1007/s44154-023-00087-0 · Cited by 2
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Chen, X., Liu, L., Lu, Y., Wang, X., Bai, Z., & Ma, L. (2025) · Global Environmental Change · doi:10.1016/j.gloenvcha.2025.103074 · Cited by 2
Liu, H., Wang, D., Li, J., Luo, L., Wang, Z., Yang, M., Zhu, S., & Liu, J. (2026) · Industrial Crops and Products · doi:10.1016/j.indcrop.2025.122612 · Cited by 2
Campos‐Herrera, R., Álvarez‐Ortega, S., & Pastor, V. (2026) · Essays in Biochemistry · doi:10.1042/ebc20250056 · Cited by 2
A rugalmasság és a versenyképesség összefüggései Nyugat-Dunántúl példáján, 1960-2020
Fazekas, N. (2024) · Területi Statisztika · doi:10.15196/ts640103 · Cited by 2
Zhang, J., Cong, Q., Sun, Y., Hua, J., & Luo, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137081 · Cited by 2
Contreras, E., & Martínez, M. (2025) · Physiologia Plantarum · doi:10.1111/ppl.70219 · Cited by 2
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Zhang, J., Chen, J., Huang, Y., Jiang, L., Zheng, Z.-Y., Zhou, H., Wang, H., & Liu, H. (2025) · Ecosystem Health and Sustainability · doi:10.34133/ehs.0350 · Cited by 2
Lai, Y., Li, Z., Li, E., Liu, R., Chang, N., Lu, C., Ling, J., Zhang, X., Yang, S., Chen, Z., et al. (2025) · Horticultural Plant Journal · doi:10.1016/j.hpj.2025.02.021 · Cited by 2
Plant trait variation shapes plant–microbe interactions in changing climate
Jeon, H., Lim, Y., & Kim, J. H. (2025) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2025.102801 · Cited by 2
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Dhar, S., & Lee, J. (2022) · Molecules and Cells · doi:10.14348/molcells.2022.0150 · Cited by 2
Immune signaling induced by plant Toll/interleukin-1 receptor (TIR) domains is thermostablePreprint
Demont, H., Remblière, C., Deslandes, L., & Bernoux, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.13.592950 · Cited by 2
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Lin, C., Hur, J., Zhang, M., Zhang, Y., Zhang, L., Huang, Z., Liu, X., Li, C. Y., Huang, J., Chu, F., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2922832/v1 · Cited by 2
Impaired condensate formation is to blame for failed disease resistance in plants
Xin, X., & Zhou, J. (2022) · Life Metabolism · doi:10.1093/lifemeta/loac020 · Cited by 1
The effect of environmental stresses on the epidemic of charcoal rot disease in legumes
Siahpoush, S., & Dehghani, A. (2024) · Plant Pathology Science · doi:10.61186/pps.13.1.113 · Cited by 1
Zhang, L., Zhu, Y., Stříbný, J., Pan, X., Tian, C., & Schneiter, R. (2025) · Forests · doi:10.3390/f16030537 · Cited by 1
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Aziz, M. A., Shamim, A., & Masmoudi, K. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-85340-1_17 · Cited by 1
Fernandez, L., Lemaire‐Chamley, M., & Chevalier, C. (2025) · New Phytologist · doi:10.1111/nph.70524 · Cited by 1
Khan, R., He, P., He, P., Ahmed, A., Liu, Y., Wu, Y., Tang, G., Li, X., Di, Y., Munir, S., et al. (2025) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2025.102421 · Cited by 1
Thermal sensitivity of plant immunity: a cellular perspective from Arabidopsis
Thakur, N., & Yang, L. (2025) · Journal of Experimental Botany · doi:10.1093/jxb/eraf471 · Cited by 2
Disruption of the mRNA m6A writer complex triggers autoimmunity in Arabidopsis
Metheringham, C. L., Srivastava, A. K., Thorpe, P., Maji, A., Parker, M. T., Barton, G. J., & Simpson, G. G. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011925 · Cited by 1
Molecular interactions between plants and arthropod herbivores in the context of climate change
Martínez, M. (2025) · Journal of Experimental Botany · doi:10.1093/jxb/eraf499 · Cited by 1
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Sahu, A., Bharati, R., Trębicki, P., & Kundu, J. K. (2026) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2026.01.004 · Cited by 1
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Bai, T., Duan, K., Zhuang, D., Zhu, Y., Jiang, C., Wang, X., Huang, R., Cao, S., Tuga, B., Reyes, W. R. A., et al. (2026) · ACS Nano · doi:10.1021/acsnano.5c16870 · Cited by 1
Yao, L., Xin, X., & Castroverde, C. D. M. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5214-5_2 · Cited by 1
Sharma, N., & Sarma, B. K. (2026) · Plant Pathology · doi:10.1111/ppa.70185 · Cited by 1
Zhang, P., Li, Y., Fang, Y., Tan, Q., Peng, L., Wu, J., Han, P., Zhao, J., Zhang, W., Huang, P., et al. (2026) · Plant Communications · doi:10.1016/j.xplc.2026.102022 · Cited by 1
Pathogen-induced physiological reprogramming and systemic dysfunction in plants
Sharif, M., Shahid, M. A., Ur-Rehman, M., Shafique, I., Farooq, M., & Ali, M. A. (2026) · Physiological and Molecular Plant Pathology · doi:10.1016/j.pmpp.2026.103495 · Cited by 1
Balem, J., Tan, C., Dias, N. C. F., Arnold, M., Tran, S., Severns, P. M., Teixeira, P. J. P. L., Li, C., & Yang, L. (2026) · New Phytologist · doi:10.1111/nph.71535 · Cited by 1
Almas, S., & Demiral, T. (2024) · Advancements in Life Sciences · doi:10.62940/als.v11i3.1739 · Cited by 1
LAZARUS 1 functions as a positive regulator of plant immunity and systemic acquired resistance
Chen, Y., Han, Y., Huang, W., Zhang, Y., Chen, X., Li, D., Hong, Y., Gao, H., Zhang, K., Zhang, Y., et al. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1490466 · Cited by 1
Identification and functional dissection of maize disease resistance genes
Wu, H., Ding, Y., Yu, H., Xie, X., Saintenac, C., Li, Z., & Liu, W. (2025) · New plant protection. · doi:10.1002/npp2.70013 · Cited by 1
Jose, J., Teutloff, E., Mayer, T., Naseem, S., Barth, E., Halitschke, R., Marz, M., & Agler, M. T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.10.598336 · Cited by 1
“Omic tools” for investigation creative plant systens
Bronnikova, L. I., Zaitseva, І. О., & Хоменко, Л. О. (2024) · Notes in Current Biology · doi:10.29038/ncbio.24.1-5
Didelon, M., Sucher, J., Carvalho‐Silva, P., Zaffuto, M., Barbacci, A., & Raffaele, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.22.609129
Arruda, T. F. D. L., da Silva, A. A. R., de Azevedo, C. A. V., de Lima, G. S., de Carvalho, G. S., Costa, D. S., Borborema, L. D. A., Nunes, K. G., Gheyi, H. R., & Soares, L. A. D. A. (2025) · Revista Brasileira de Engenharia Agrícola e Ambiental · doi:10.1590/1807-1929/agriambi.v29n6e288176
Panomic and Genome-Editing Approaches in Plastome Studies to Enhance Crop Climate Resilience
Kumar, A., Yau, Y., Agarwal, A., Kotiya, A., & Kumar, V. R. (2025) · LS International Journal of Life Sciences · doi:10.5958/2319-1198.2025.00008.2
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Wang, Y., Huang, W., Zhang, P., Li, X., & Zhang, Y. (2025) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiaf351
Transcriptional response to warm temperatures is confounded by organ-specificityPreprint
Hua, J., Gupta, S., Vuarambon, D. J., & Reis, R. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.05.668523
Impact of climate change on pest and disease outbreaks in agricultural ecosystems
Pappachan, A., Kamidi, R., Khare, T. R., Hosamani, V., Raviraj, V. S., & Saini, P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26520-4.00011-1
Plant immune plasticity and epibreeding
Zhang, L., KaiXuan, C. U. I., Lin, H. M., & He, Z. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0173
Impact of elevated temperature on immunity-related hormone signaling in tomato plantsPreprint
Liu, K., Shivnauth, V., & Castroverde, C. D. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.20.665745
Sahoo, A., Majumder, S., Das, R., Satapathy, K. B., & Panigrahi, G. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4746-2_2
Too hot to defend: elevated temperature compromises systemic acquired resistance
Balcerowicz, M. (2025) · The Plant Journal · doi:10.1111/tpj.70492
Liu, Y., Song, X., FENG, J., Li, H., Shi, Y., Li, Y., & Hu, X. (2025) · Phytopathology · doi:10.1094/phyto-11-23-0427-r
An elevated environmental temperature impairs accumulation of the pattern recognition receptor FLS2Preprint
Jacobs, B. C. I. C., Bender, K. W., Six, E., Zipfel, C., & Knight, M. R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.20.683271
Raghuraman, P., & Park, S. (2025) · Physiological and Molecular Plant Pathology · doi:10.1016/j.pmpp.2025.103021
Welcome Pathogens: Transient Heat Dampens Immune Responses to Acibenzolar‐ S ‐Methyl in Apple Plants
Chavonet, E., Nguyen, B., Heintz, C., Cournol, R., Široká, J., Novák, O., Larbat, R., Gaucher, M., Brisset, M. N., Pantin, F., et al. (2025) · Plant Cell & Environment · doi:10.1111/pce.70256
Зиновьева, С. В., Удалова, Ж. В., Khasanov, F. K., & Gins, M. S. (2025) · Doklady Biochemistry and Biophysics · doi:10.1134/s1607672925601386
Metadata
- Authors
- Kim, J. H., Castroverde, C. D. M., Huang, S., Li, C., Hilleary, R., Seroka, A., Sohrabi, R., Medina-Yerena, D., Huot, B., Wang, J., Nomura, K., Marr, S. K., Wildermuth, M. C., Chen, T., MacMicking, J. D., & He, S. Y.
- Affiliations
- Howard Hughes Medical Institute (US)
- Wilfrid Laurier University (CA)
- Huazhong Agricultural University (CN)
- Michigan State University (US)
- Duke University (US)
- University of California, Berkeley (US)
- Corresponding author
- Castroverde, Christian Danve M.
- He, Sheng Yang
- ORCID
- Venue
- Nature
- Published
- 2022-06-29
- Volume
- 607
- Issue
- 7918
- Pages
- 339-344
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9279160
- OpenAlex
- W4283691610
- Cited by
- 225
- References
- 51
- Citations by year
- 2026: 38 · 2025: 75 · 2024: 46 · 2023: 42 · 2022: 24
- FWCI
- 25.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Scholars Commons (Wilfrid Laurier University) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Michigan State University
- National Natural Science Foundation of China
- National Institutes of Health
- College of Engineering, Michigan State University
- Natural Sciences and Engineering Research Council of Canada
- National Institute of General Medical Sciences (T32GM110523)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant-Microbe Interactions and Immunity
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Keywords
- salicylic acid, plant immunity, climate change, heat stress, Arabidopsis thaliana, biomolecular condensates, SARD1, Mediator complex, basal immunity, effector-triggered immunity
- MeSH terms
- Acclimatization, Calmodulin-Binding Proteins, Environment, Plant Diseases, Temperature, Transcription Factors, Arabidopsis, Gene Expression Regulation, Plant, Salicylic Acid, Arabidopsis Proteins, Phytochrome B, Host-Pathogen Interactions, Global Warming, Plant Immunity
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