Abstract
23
Wild plant species are threatened by diverse pathogens, but disease symptoms are rarely 24
observed in nature. This suggests that wild plants harbor valuable sources of resistance. In this 25
study, we show that a model bacterial pathogen Pseudomonas syringae pv. tomato (Pto) 26
DC3000 trigger ed defense responses in all tested accessions of a wild Solanaceae species, 27
Solanum americanum. Pto DC3000-triggered immunity in S. americanum required type III 28
secretion system . We show that seven Pto DC3000 effectors ( AvrPto, HopAD1, HopAM1, 29
HopC1, HopAA1 -1, HopM1, and AvrE1) trigger ed hypersensitive responses (HR) in S. 30
americanum accession SP2273 . Significantly, s equential deletion of the HR-triggering 31
effectors from Pto DC3000 resulted in enhanced virulence in S. americanum. However, the 32
well-conserved effectors, HopM1 and AvrE1 were indispensable for virulence. We conclude 33
that the immunity triggered by multiple effectors contributes to nonhost resistance in S. 34
americanum against P . syringae. We propose that the identification of the corresponding 35
disease resistance genes for HopM1 and AvrE1 in S. americanum would accelerate 36
development of durable immunity to P . syringae pathogens in Solanaceae crops. 37
Keywords
Bacterial pathogenesis, nonhost resistance, effector, ETI, Solanum 38
americanum, Pseudomonas syringae 39
40
Introduction
41
Plants are constantly threatened by the invasion of pathogens, yet plant diseases are relatively 42
uncommon in nature (Gill et al., 2015). This is due to the diverse defense strategies that plants 43
have evolved. There are two major immune layers (Jones and Dangl, 2006). The first layer is 44
pattern-triggered immunity (PTI), where pattern recognition receptors (PRRs) localized at the 45
plant cell surface detect conserved pathogen-associated molecules such as bacterial flagellin. 46
However, bacterial pathogens have developed sophist icated stra tegies to evade PTI by 47
delivering effector proteins to plant cells via type III secretion system (Macho, 2016). Many 48
bacterial effectors contribute to pathogen virulence by suppressing basal plant immunity. For 49
example, a well-studied Pseudomonas syringae effector, AvrPto interferes the kinase function 50
of certain PRRs such as Arabidopsis FLS2 or EFR, resulting in reduced PTI signaling (Xiang 51
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et al., 2008; Zipfel and Rathjen, 2008) . In response to these effector activities, plants have 52
evolved a second layer of innate immunity termed effector-triggered immunity (ETI) where 53
nucleotide-binding and leucine-rich repeat resistance (NLR) proteins recognize corresponding 54
pathogen effectors (Jones and Dangl, 2006; Kourelis and van der Hoorn, 2018). ETI often leads 55
to hypersensitive response (HR) , characterized by localized cell death at the infection site. 56
Some NLR proteins, such as HOPZ-ACTIV ATED RESISTANCE1 (ZAR1), oligomerize upon 57
effector recognition and function as a calcium-permeable channel in the plasma membrane 58
which is required for HR development (Bi et al., 2021; Wang et al., 2019). 59
Pseudomonas sy ringae pv. tomato DC3000 (hereafter Pto DC3000) is a model 60
bacterial pathogen for studying plant-microbe interactions (Buell et al., 2003; Lindeberg et al., 61
2006; Xin and He, 2013) . In particular, the secretion and in planta functions of Pto DC3000 62
type III effectors have been extensively studied. Pto DC3000 secretes multiple effectors whose 63
functions can be complex and redundant. This nature makes it challenging to study individual 64
effector functions. To overcome these difficulties, combinations of multiple effectors were 65
deleted in Pto DC3000 background (Wei et al., 2007). Among 36 known Pto DC3000 type III 66
effectors, 28 are well-expressed (18 of these are clustered in six loci, while 10 effectors are 67
dispersed throughout the genome). The remaining eight effectors are either pseudogenes or 68
weakly expressed genes. Deletion of 18 clustered and well-expressed effector genes in Pto 69
DC3000 resulted in D18E, and deletion of all 28 well-expressed effector genes produced D28E 70
(Cunnac et al., 2011; Kvitko et al., 2009) . These Pto DC3000 polymutant strains showed 71
significantly reduced virulence in a model Solanaceae species Nicotiana benthamiana. Further 72
deletion of a weakly-expressed effector hopAD1 in D28E, resulted in D29E, which abolished 73
HR in N. benthamiana (Wei et al., 2015). Finally, the effectorless mutant D36E was generated 74
by deleting all the remaining weakly expressed effectors and pseudogenes from D29E (Wei et 75
al., 2015). Pto DC3000 effectors encoded by Exchangeable Effector Locus (EEL) vary among 76
different strains, whereas Conserved Effector Locus (CEL) encodes highly conserved effectors 77
such as AvrE1, HopM1, HopAA1 (HopN1 in some strains) a cross diverse P. syringae strains 78
(Alfano et al., 2000; Xin et al., 2018) . Since CEL effectors are highly conserved, identif ying 79
their corresponding resistance genes is considered to be crucial for developing durable disease 80
resistance to P . syringae pathogens (Dangl et al., 2013; Kim et al., 2022). 81
Wild plant species are valuable sources of resistance genes compared to domesticated 82
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crops (Arora et al., 2019) . Several P . syringae effectors have been shown to activate NLR -83
mediated immunity in N. benthamiana, a model Solanaceae species. HopQ1 effector from P . 84
syringae, for example, is recognized by NLR protein Roq1 with N-terminal Toll-like 85
interleukin-1 (TIR) domain (Schultink et al., 2017) . Interestingly, Roq1 also recognizes 86
Xanthamonas and Ralstonia effectors, XopQ and RipB, respectively. Recently, N. benthamiana 87
and Solanum lycopersicoides NLR Ptr1, which contains coiled-coil (CC) domain, was shown 88
to recognize multiple bacterial effectors. For instance, P . syringae effectors AvrRpt2, AvrRpm1, 89
AvrB, and HopZ5 activate NbPtr1-dependent immunity in N. benthamiana (Ahn et al., 2023). 90
Moreover, NbPtr1 also recognize s RipBN and RipE1 from Ralstonia sola nacearum, and 91
AvrBsT from Xanthomonas euvesicatoria. Solanum americanum, a wild Solanaceae species, 92
has been used to identify NLR genes (Witek et al., 2016). High-quality genome assemblies and 93
NLR gene repertoires have been analyzed in multiple S. americanum accessions in recent 94
research (Lin et al., 2023; Witek et al., 2016). Moreover, the availability of genetically variable 95
S. americanum accessions makes S. americanum an ideal model for discovering NLR genes 96
(Witek et al., 2016). Several NLR genes that recognize effectors from Phytophthora infestans 97
causing potato late blight have been identified and cloned from S. americanum (Lin et al., 2023; 98
Witek et al., 2016; Witek et al., 2021). For instance, Rpi-amr1 from S. americanum recognizes 99
Avr-amr1 and provides resistance when expressed in other Solanaceae species, such as potato 100
and N. benthamiana. Additionally, Rpi-amr3 recognizing Avr-amr3 confers broad resistance to 101
P . infestans and other Phytophthora pathogens including P . parasitica and P . palmivora when 102
expressed in N. benthamiana (Lin et al., 2022). 103
In this study, we aimed to understand the genetic basis of S. americanum resistance to 104
Pto DC3000 and found that seven effectors (AvrPto, HopAD1, HopAM1, HopC1, HopAA1-1, 105
HopM1, and AvrE1) trigger HR in S. americanum accession SP2273. We generated Pto 106
DC3000 mutants lacking these HR-triggering effectors and investigated their roles in bacterial 107
disease resistance in S. americanum. We show that the deletion of avrPto, hopAD1, hopAM1, 108
hopC1, and hopAA1-1 from Pto DC3000 enhance s in planta bacterial growth and causes 109
bacterial speck symptoms while still inducing weak HR in S. americanum. Deletion of all seven 110
avirulence effectors abolished the HR -triggering ability of Pto DC3000 in S. americanum 111
without disease development . Based on these results, we propose that multiple effectors are 112
required for nonhost resistance in S. americanum against P . syringae. Our results offer insights 113
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into bacterial virulence mechanisms and can help the identification of NLRs recognizing CEL 114
effectors, which may confer durable resistance in Solanaceae crops. 115
116
Results
117
Pseudomonas syringae pv. tomato DC3000 triggers type III secretion system -dependent 118
disease resistance in Solanum americanum 119
To better understand the genetic basis of disease resistance to Pseudomonas syringae in S. 120
americanum, we infiltrated Pseudomonas syringae pv. tomato (Pto) DC3000 (OD 600nm=0.1) 121
into the leaves of 28 S. americanum accessions and tested for the onset of hypersensitive 122
response (HR) . Unlike P . infestans and R. pseudosolanacearum , which induce accession -123
specific resistance in S. americanum (Moon et al., 2021; Witek et al., 2016), Pto DC3000 wild-124
type strain triggered a strong HR in all tested S. americanum accessions at one day post -125
infection (dpi) (Table 1). We hypothesized that one or more Pto DC3000 type III effector (T3E) 126
proteins trigger HR in S. americanum . In order t o identify which Pto DC3000 T3E(s) are 127
responsible for HR, we tested HR-inducing activity of Pto DC3000 polymutants D18E, D29E, 128
and D36E lacking multiple T3Es (Kvitko et al. , 2009; Wei et al. , 2015) in S. americanum 129
accession SP2273 (hereafter, SP2273). Pto DC3000 wild-type and D18E triggered strong HR, 130
whereas D29E and D36E did not induce any visible symptoms in SP2273 (Figure 1A). Next, 131
we tested the virulence of Pto DC3000 wild-type and polymutants by measuring in planta 132
bacterial growth. None of the strains (Pto DC3000 wild-type, D18E, D29E, or D36E) showed 133
growth in SP2273 (Figure 1B), suggesting that deletion of multiple T3Es resulted in the loss of 134
not only HR but also bacterial virulence in S. americanum . Based on these results, we 135
hypothesized that the 11 effectors present in D18E but absent in D29E (HopA1, HopAD1, 136
HopAF1, HopAM1, Ho pB1, HopE1, AvrPto, AvrPtoB, HopI1, HopK1, and HopY1) are 137
primary avirulence effector candidates (Figure 1C). In addition, the 18 effectors that are present 138
in wild -type strain but absent in D18E (HopAA1-1, HopAA1-2, HopAO1, AvrE1, HopC1, 139
HopD1, HopR1, Hop G1, HopH1, HopM1, HopN1, HopO1 -1, HopQ1 -1, HopF2, HopT1 -1, 140
HopU1, HopV1, and HopX1) could be the additional avirulence effector candidates (Fig 1C). 141
We excluded the seven effectors (HopS2, HopO1 -3’, HopO1-2, HopS1’, HopBM1, HopT2, 142
and HopT1-2’) remaining in D29E because D29E failed to trigger HR, and these genes are 143
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considered weakly expressed genes or pseudogenes (Wei et al., 2015). Taken together, these 144
Results
strongly suggest that T3Es are essential for Pto DC3000-induced HR in S. americanum. 145
146
AvrPto, HopAM1, or HopAD1 triggers hypersensitive response in Solanum americanum 147
To identify avirulence effector(s) that trigger defense responses in S. americanum , we 148
transiently expressed each of the 11 effectors present in D18E (HopA1, HopAD1, HopAF1, 149
HopAM1, HopB1, HopE1, AvrPto, AvrPtoB, HopI1, HopK1, and HopY1) in SP2273 leaves 150
by Agrobacterium-mediated transient transformation (hereafter, agroinfiltration). Among these, 151
agroinfiltration of HopAD1, HopAM1, or AvrPto elicited a robust HR in SP2273 (Figure 2A). 152
To test whether the lack of HR for other effectors was due to protein instability. We transiently 153
expressed all 11 effectors in Nicotiana benthamiana leaves via agroinfiltration and total protein 154
extracts were analyzed by immunoblot using anti-HA antibody. All tested effectors showed 155
detectable protein expression levels (Figure 2B and Table S5). Although HopAM1 showed 156
weaker expression compared to other effectors, it still induced HR (Figure 2A), indicating that 157
the level of expression was sufficient to activate plant defense responses. 158
159
Pto DC3000 lacking avrPto, hopAM1, and hopAD1 shows enhanced in planta bacterial 160
growth, yet still triggers hypersensitive response in Solanum americanum 161
To investigate the role s of AvrPto, HopAM1, and HopAD1 in Pto DC3000 virulence, we 162
sequentially deleted each effector gene and tested for HR induction and in planta bacterial 163
growth in S. amerianum. Effector knock-out mutants were generated using a modified suicide 164
vector pK18mobsacB-GG containing the upstream and downstream flanking regions of the 165
target effector genes (Jayaraman et al., 2020). First, we deleted avrPto from Pto DC3000 wild-166
type resulting in strain PKSG 4673 (Figure 3A). Since hopAM1 gene exists in two identical 167
copies, one on the chromosome ( hopAM1-1) and the other on the plasmid , pDC3000A 168
(hopAM1-2) (Buell et al., 2003), we deleted hopAM1-1 from PKSG 4673 (PKSG 7065) and 169
subsequently deleted hopAM1-2 from PKSG 7065 (PKSG 7903). Finally, we deleted hopAD1 170
from PKSG 7903 , generating PKSG 7377. Details on the generation and validation of these 171
effector knockout strains are provided in the Methods section and Figure S1. 172
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To test whether these effector knockout mutants exhibited enhanced virulence , we 173
measured in planta bacterial growth by infiltrating a low concentration of bacterial suspension 174
(OD600nm=0.0001) into SP2273 leaves using a needleless syringe . All mutant strains, PKSG 175
4673 (ΔavrPto), PKSG 7065 (ΔavrPto hopAM1-1), PKSG 7903 (ΔavrPto hopAM1-1 hopAM1-176
2), PKSG 7377 (ΔavrPto hopAM1-1 hopAM1-2 hopAD1) showed significantly higher in planta 177
growth compared to wild-type (Figure 3B). However, no significant differences were observed 178
among the mutant strains. To further characterize these mutant strains, we tested their HR-179
inducing ability by infiltrating a high concentration of bacterial inoculum (OD600nm=0.1) into 180
SP2273 leaves. Interestingly, all four Pto DC3000 mutant strains still triggered a strong HR in 181
SP2273 (Figure 3C and 3D). Taken together, these results indicate that AvrPto, HopAM1, and 182
HopAD1 significantly contribute to the avirulence of Pto DC3000 in S. americanum. However, 183
the remaining HR suggests that additional avirulence determinant(s) are likely present in Pto 184
DC3000. 185
186
Transient expression of HopC1, HopAA1-1, HopM1 or AvrE1 triggers hypersensitive 187
response in Solanum americanum 188
To identify additional avirulence effector(s), we tested the HR-inducing activity of 18 189
secondary candidates (HopAA1-1, HopAA1 -2, HopAO1, AvrE1, HopC1, HopD1, HopR1, 190
HopG1, HopH1, HopM1, HopN1, HopO1 -1, HopQ1 -1, HopF2, HopT1 -1, HopU1, HopV1, 191
and HopX1) in SP2273 (Figure 1C). Agroinfiltration of these effectors in to SP2273 leaves 192
showed that HopAA1-1, AvrE1, HopC1, or HopM1 induced a strong HR at 3 dpi (Figure 4A). 193
HopAA1-1, AvrE1, and HopM1 are known to be highly conserved effectors among diverse P. 194
syringae strains (Alfano et al. , 2000; Munkvold et al. , 2009) . We n ext assessed protein 195
expression of these effectors by immunoblot analysis using an anti-HA antibody. Most effectors 196
showed detectable levels of expression . However, for unknown reasons, t he expected size 197
bands for AvrE1 (202 kDa) and HopR1 (217 kDa) (Table S5) were not detected in our 198
experimental conditions (Figure 4B). 199
200
HopM1 and AvrE1 are critical for bacterial virulence and disease symptom development 201
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in Solanum americanum 202
To test the roles of HopC1, HopAA1-1, HopM1, and AvrE1 in HR induction and bacterial 203
virulence, we generated additional effector knockout mutant strains of Pto DC3000. Details for 204
generation and validation of these effector knockout strains can be found in the Methods section 205
and Figure S3. HopM1 and AvrE1 require chaperone proteins ShcM and ShcE, respectively, 206
for proper functions (Badel et al., 2003; Badel et al., 2006) . Therefore, shcM and shcE were 207
deleted along with their corresponding effector genes, hopM1 and avrE1. First, hopC1 was 208
deleted in PKSG 7377 which resulted in ΔavrPto hopAM1 -1 hopAM1 -2 hopAD1 hopC1 209
(PKSG 7768) (Figure 5A). Next, hopAA1-1 was deleted in PKSG 7768 to generate PKSG 7826. 210
We further deleted shcM-hopM1 or/and schE -avrE1 resulting in three additional knockout 211
strains (PKSG 7899 ; shcM-hopM1 deletion, PKSG 7900 ; shcE-avrE1 deletion, and PKSG 212
7892; both deletions) (Figure 5A). 213
To investigate the effect of these additional effector deletions on virulence, we 214
conducted in planta bacterial growth assays in SP2273. Infection conditions were identical as 215
described in Figure 3 B. Similar to PKSG 7377, PKSG 7768, PKSG 7826, and PKSG 7899 216
mutants showed significant increase in growth compared to Pto DC3000 wild-type (Figure 5B). 217
However, in planta growth of PKSG 7900 and PKSG 7892 lacking shcE-avrE1 was not 218
significantly different from Pto DC3000 wild -type (Figure 5B). Next, we tested the HR-219
inducing activity of these mutant strains in SP2273. Interestingly, PKSG 7768, PKSG 782 6, 220
PKSG 7899, and PKSG 7900 triggered significantly reduced HR compared to Pto DC3000 221
wild-type or PKSG 7377 (Figure 5C and 5D). Notably, HR was completely abolished in PKSG 222
7892, which lacks all effectors previously shown to induce HR in agroinfiltration assay. Finally, 223
we conducted an additional infection assay to monitor disease symptom s caused by effector 224
knockout mutant strains. When SP2273 leaves were sy ringe-infiltrated with a low 225
concentration of bacterial inoculum (OD 600nm=0.00001), PKSG 7826 caused visible bacterial 226
speck symptoms (Figure 6A). PKSG 7899 caused a weaker, yet still notable symptoms, while 227
other strains did not produce visible disease symptoms. We further confirmed this phenotype 228
by dip-inoculation assays. We dip-inoculated SP2273 plants with PKSG 7826 (OD600nm=0.001). 229
PKSG 7826 showed a mild bacterial speck disease symptom, while Pto DC3000 wild-type did 230
not cause visible disease symptoms under the same conditions (Figure 6B). In summary, these 231
Results
demonstrate that HopC1, HopAA1-1, HopM1, and AvrE1 are required for Pto DC3000 232
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avirulence in S. americanum. Moreover, despite their HR-inducing activity, HopM1 and AvrE1 233
appear to carry strong virulence functions as deletion of these effectors significantly reduced 234
in planta bacterial growth. 235
Conservation of avirulence effectors across multiple Pseudomonas syringae strains. 236
Identification of the NLR genes that recognize broadly conserved effectors is considered to 237
provide a source of durable disease resistance. To survey the conservation of seven avirulence 238
effectors identified in this study , we analyzed their presence/absence polymorphism in 117 239
phytopathogenic Pseudomonas strains with available genome sequences in the NCBI database, 240
using effector references from the PsyTEC library (Laflamme et al., 2020) . The number of 241
Pseudomonas species or pathovar strains analyzed in this research is shown in Table S10. 242
Proteins with an E-value above 1e-24 or those with less than 60 % sequence coverage as 243
compared to the effector alleles in PsyTEC database were considered absent (Figure 7A). Based 244
on this criterion, HopAD1, HopAM1, AvrPto, HopC1, HopAA1, HopM1 , and AvrE1 were 245
present in 8 (6.8%), 25 (21.4%), 34 (29.1%), 14 (12%), 70 (59.8%), 75 (64.1%) and 109 (93.2%) 246
out of 117 strains, respectively (Figure 7B). 247
248
Discussion
249
Plant immunity triggered by multiple effectors is involved in nonhost resistance. 250
To better understand t he interaction between Solanum americanum and pathogenic 251
Pseudomonas syringae strains, we focused on the well-characterized strain, Pto DC3000. 252
Unlike other pathogens such as P . infestans and R. pseudosolanacearum (Moon et al., 2021; 253
Witek et al. , 2016) , Pto DC3000 induced defense responses in all tested S. americanum 254
accessions (Table 1). Furthermore, well-conserved P . syringae effectors such as HopAA1-1, 255
HopM1, and AvrE 1 activated defense responses in S. americanum , suggesting that S. 256
americanum may be a nonhost plant species to P . syringae. 257
The molecular basis of nonhost resistance is still not fully understood, and it is thought 258
to involve multiple contributing factors (Panstruga and Moscou, 2020) . One proposed 259
mechanisms is the recognition of pathogen effectors by corresponding NLR genes. For instance, 260
Phytophthora sojae is typically a non-adapted pathogen to N. benthamiana. However, deletion 261
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of AvrNb, an effector recognized by the immune receptor NbPrf, enables P . sojae to infect N. 262
benthamiana (Dong et al., 2025) . This highlights the role of ETI in nonhost resistance. 263
Consistent with our results, previous studies have shown that nonhost resistance can be 264
mediated by the recognition of multiple pathogen effectors. For example, Cevik et al. identified 265
Albugo candida -susceptible transgressive segregated lines by using Arabidopsis thaliana 266
multiparent advanced generation intercross (MAGIC) lines. Their findings highlighted that 267
nonhost resistance in A. thaliana is polygenic and induced through the recognition of multiple 268
Albugo candida effectors (Cevik et al., 2019). Similarly, studies in pepper (Capsicum annuum) 269
also support th is concept. Lee et al. identified several RxLR effectors from P . infestans that 270
triggered HR in diverse pepper accessions. It suggests that recogni tion of multiple effectors 271
contributes to nonhost resistance (Lee et al., 2014). Also, Oh et al., showed that stack ed NLR 272
genes in pepper mediate nonhost resistance by recognizing distinct effectors (Oh et al., 2023). 273
While these studies demonstrate nonhost resistance from the plant’s perspective, our research 274
provides additional evidence from the pathogen’s perspective. Specifically, we show that the 275
deletion of multiple HR-triggering effectors enables previously nonpathogenic strain to cause 276
disease in S. americanum. Therefore, our research supports the idea that multiple ETIs is one 277
of the genetic bases of nonhost resistance. 278
279
HopM1 and AvrE1 are highly conserved among Pseudomonas strains and critical for 280
virulence in Solanum americanum. 281
In this study, we show that HopM1 and AvrE1 are crucial for the full virulence of Pto DC3000 282
in S. americanum. Previously, multiple studies showed the importance of HopM1 and AvrE1 283
in pathogen virulence. For instance, deletion of hopM1 and avrE1 in Pto DC3000 reduces 284
growth and lesion formation in tomato (Badel et al. , 2006) . In P . syringae pv. actinidae, 285
although HopM1 is non-functional due to the loss of function mutation in schM, AvrE1 286
significantly contributes to virulence in kiwifruit (Jayaraman et al. , 2020) . Furthermore, 287
DspA/E and WtsE, belonging to the AvrE family, are crucial for the full virulence of Erwinia 288
amylovora and Pantoea stewartii, respectively (Degrave et al., 2015) . More recently, AvrE1 289
and HopM1 were shown to be critical for bacterial virulence in spinach (Mendel et al., 2024). 290
Interestingly, HopM1 and AvrE1 were shown to be critical for the development of water-291
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soaking symptoms during bacterial infection (Xin et al. , 2016). HopM1 and AvrE1 induce 292
stomatal closure by activating abscisic acid (ABA) signaling , generating an aqueous 293
environment in the apoplast that is favorable for bacterial proliferation (Roussin-Leveillee et 294
al., 2022). Consistent with these findings, our results support the virulence function of HopM1 295
and AvrE1 in S. americanum. It is conceivable that other effectors in Pto DC3000 suppress the 296
avirulence activity of HopM1 and AvrE1 in S. americanum . It was shown that immune 297
responses mediated by conserved effectors such as HopAA1, HopM1, and AvrE1 can be 298
suppressed by the function of other effectors (Wei et al., 2007). For example, HopI1 suppresses 299
cell death triggered by AvrE1, HopM1, HopQ1-1, HopR1, or HopAM1 in N. benthamiana (Wei 300
et al., 2018). Thus, this suggests that these HopM1 and AvrE1 might be indispensable for the 301
full virulence of Pto DC3000, although they have the disadvantage of being recognized by 302
unknown plant immune receptors in S. americanum . While HopM1 and AvrE1 have been 303
described to have functional redundancy (Kvitko et al., 2009), our results show that deletion 304
of either effector leads to reduced bacterial growth in S. americanum. This discrepancy may 305
reflect differences in the host resistance gene repertoire or other deleted effectors could 306
influence different levels of redundancy. 307
308
Identifying NLR genes that recognize HR-triggering effectors may enable us to develop 309
durable bacterial speck disease resistant Solanaceae crops. 310
Nonhost resistance confers broad and durable resistance against pathogens (Fonseca and 311
Mysore, 2019). In this study, we hypothesized that nonhost resistance in S. americanum is 312
mediated by multiple ETIs. Therefore, identifying NLR genes that recognize effectors involved 313
in nonhost resistance may provide tools for developing durable P. syringae-resistance in 314
Solanaceae crops. Several a virulence effectors identified in this study also trigger immune 315
responses in other plant species. For example, HopAD1 induces immune-associated cell death 316
in N. benthamiana (Wei et al., 2015). AvrPto is known to bind to Pto kinase, activating Prf-317
dependent disease resistance in tomato . We identif ied Pto and Prf homologs in the S. 318
americanum SP2273 genome , suggesting that recognition of AvrPto in this accession may 319
occur via a similar mechanism with tomato. Furthermore, HopAM1 from P . syringae pv. 320
actinidae which shares 98.9 % amino acid identity with Pto DC3000 allele also induces cell 321
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death in Nicotiana species, and the homolog from P . syringae pv. pisi induces cell death in pea 322
cultivars (Choi et al., 2017; Cournoyer et al., 1995; Eastman et al., 2022). HopAM1 contains a 323
Toll/interleukin-1 receptor (TIR) domain such as TIR-type NLR , which activates immune 324
signaling and cell death in plants (Eastman et al., 2022). Therefore, HopAM1 may trigger cell 325
death independently of a specific resistance gene. HopC1 homolog from P . syringae pv. pisi 326
which shares 99.6 % amino acid identity with Pto DC3000 allele, acts as an avirulence effector 327
in bean (Arnold et al., 2001; Baltrus et al., 2012). HopM1 and AvrE1 also trigger cell death in 328
N. benthamiana (Wei et al., 2018). Despite various research on HR phenotypes and immune 329
responses for theses effectors, resistance genes recognizing these avirulence effectors are not 330
well-studied in Solanaceae plants. In Arabidopsis, the immune receptor, CEL-ACTIV ATED 331
RESISTANCE1 (CAR1), recognizes AvrE1 and HopAA1-1 (Laflamme et al., 2020). However, 332
an NCBI BLAST search using the CAR1 sequence (AT1G50180.1) found no clear homolog in 333
the SP2273 genome (data not shown). This could be an example of convergent evolution, where 334
an effector protein is recognized by resistance genes with no sequence similarity in different 335
plant species (Kim et al., 2023). In the future, NLR genes recognizing avirulence Pto DC3000 336
effectors could be identified through natural variations of S. ameri canum accessions. In 337
particular, NLRs that detect conserved avirulence effectors such as AvrE1, HopM1, and 338
HopAA1 may be especially valuable for developing durable resistance against P . syringae in 339
Solanaceae crops. 340
341
Virulent Pto DC3000 mutant strain is a valuable tool for studying effector -triggered 342
immunity in Solanum americanum. 343
S. americanum is a promising model Solanaceae plant for identifying resistance genes against 344
diverse phytopathogens (Witek et al. , 2016) . However, the lack of virulent strains for S. 345
americanum makes it challenging to study the interaction between effectors and host plants. In 346
this study, we generated virulent strains using the model bacterial pathogen Pto DC3000. In N. 347
benthamiana, a well-established model Solanaceae plant, Pto DC3000 ∆hopQ1-1 is commonly 348
used for in planta bacterial growth assays (Wei et al., 2007). Similarly, we can use the virulent 349
PKSG 7826 strain to perform in planta bacterial growth assays in S. americanum. Thus, this 350
study highlights the potential of S. americanum to serve as a model Solanaceae plant for ETI 351
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13
studies alongside N. benthamiana. 352
353
Methods
354
Plant growth conditions 355
Solanum americanum and Nicotiana benthamiana plants were grown in Baroker soil mix (4 % 356
zeolite, 7 % perlite, 6 % vermiculite , 68 % cocopeat, 14.73 % peat moss; Seoulbio , 357
http://www.seoulbio.co.kr) at 23 ℃ with 11 hours of light per day. S. americanum was used for 358
agroinfiltration and Pseudomonas syringae pv. tomato DC3000 in planta growth assays. N. 359
benthamiana was used for agroinfiltration followed by total protein extraction and immunoblot 360
analysis. 361
362
Bacterial strains and culture conditions 363
The bacterial strains used in this study are listed in Table 2. Escherichia coli DH5α and 364
Agrobacterium tumefaciens AGL1 strains were cultured in Luria-Bertani (LB) broth containing 365
appropriate antibiotics. Pseudomonas syringae strains were grown on King’s B (KB) medium 366
with appropriate antibiotics. Antibiotics for bacterial strains are shown in Table S2. Antibiotic 367
concentrations used were: Carbenicillin (100 μg/mL), Kanamycin (50 μg/mL), Gentamycin (20 368
μg/mL), Rifampicin (50 μg/mL), Spectinomycin (100 μg/mL). E. coli was grown at 37 ℃, and 369
A. tumefaciens and P . syringae were grown at 28 ℃. 370
371
Construction of plasmids 372
To clone Pto DC3000 type III effector gene s, we used Pto DC3000 chromosome data 373
(GenBank: AE016853.1) and pDC3000a plasmid data (NCBI: NC_004633.1). If effector 374
sequences are over 2000 bp, we divided them into modules (about 500 - 1500 bp) for efficient 375
golden-gate (GG) assembly. First, BsaI site flanked nucleotide sequences of hopA1, hopAD1, 376
hopAF1 (BsaI mutagenized), hopAM1, hopB1 (BsaI mutagenized), hopE1, hopI1 (codon 377
optimized), hopK1, hopY1, hopD1_module2 ( BsaI mutagenized), hopR1_module6 (BsaI 378
mutagenized), hopN1 (BsaI mutagenized), hopAA1-2_module2 ( BsaI mutagenized), 379
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avrE1_module 4 (BsaI mutagenized) were synthesized ( Twist Biosciences, South San 380
Francisco, CA, USA). Other effectors or effector modules were PCR amplified. Pto DC3000 381
genomic DNA (extracted using Wizard Genomic DNA purification kit; Promega , 382
https://www.promega.com/) was used as the PCR template. All DNA fragments were flanked 383
by BsaI restriction enzyme site and GG overhangs to make GG modules. Effectors were cloned 384
into pICH41021 vector (BsaI mutagenized pUC19, hereafter pUC19B) by blunt-end ligation 385
using SmaI or Eco53KI restriction enzyme. The pUC19B modules were cloned into the binary 386
vector (pICH86988) with a C -terminal 6x HA epitope tag using golden gate assembly using 387
BsaI restriction enzyme (Engler et al., 2008). 388
For generating Pto DC3000 type III effector knockout plasmi ds, the upstream and 389
downstream of the target effector region (around 1~1.8 kb) were PCR -amplified. DNA 390
fragments were flanked by BsaI restriction site s and GG overhangs. The amplified PCR 391
templates were cloned into pUC19B vector. The upstream and downstream pUC19B modules 392
were assembled into suicide pK18mobsacB-GG vector via GG assembly using BsaI restriction 393
enzyme (Jayaraman et al. , 2020) . pK18mobsacB-GG vector was derived by removing the 394
multiple cloning site (MCS) of the original pk18mobsacB vector. The removed MCS was 395
replaced with a BsaI restriction site flanked MCS of pICH86988 (Jayaraman et al., 2020). The 396
primers or synthesized sequences for pUC19B module cloning are listed in Table S11 and Table 397
S12. All pUC19B modules and GG-assembled constructs were transformed into E. coli DH5α 398
using electroporation method (1.8 kV pulse using 1 mm electroporation cuvette) . E. coli 399
transformants were selected on LB media containing appropriate antibiotics for destination 400
vectors (see Table S3 for details). The insert sequences of pUC19B modules w ere validated 401
using Sanger sequencing and GG-assembled constructs were verified using restriction enzyme 402
digestion. 403
404
Agrobacterium-mediated transient transformation 405
All effectors used in this study were cloned in the binary vector pICH86988 for Agrobacterium-406
mediated transient transformation (agroinfiltration). These binary constructs were transformed 407
into A. tumefaciens AGL1 strain using electroporation (2.2 kV pulse using 1mm electroporation 408
cuvette). AGL1 transformants were selected on LB media containing Carbenicillin (100 μg/mL) 409
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15
and Kanamycin (50 μg/mL). For agroinfiltration, AGL1 strains carrying effector constructs and 410
P19, a viral suppressor of RNA silencing, were grown in liquid LB with appropriate antibiotics. 411
The cultured cells were resuspended in Agrobacterium infiltration buffer (10 mM MgCl 2 and 412
10 mM MES (pH 5.6) ) and diluted to OD 600nm 0.2 (P19) to 0.4 (effector). The diluted 413
Agrobacterium inoculums carrying effector constructs and P19 were mixed and infiltrated 414
using a 1 mL needleless syringe into plant leaves. 415
416
Immunoblot analysis 417
The total protein was extracted from six leaf discs (8mm diameter) taken from the infiltrated 418
area of N. benthamiana two days post infiltration. The leaf discs were snap -frozen in liquid 419
nitrogen and ground with 200 μL of 5X SDS protein loading buffer (250mM Tris-HCl (pH 6.8), 420
8 % sodium dodecyl sulfate (SDS), 0.1 % Bromophenol blue, 40 % (v/v) Glycerol , and 100 421
mM Dithiothreitol). The total protein samples were boiled for 10 minutes at 95 ℃. For SDS 422
page, 20 μL of protein samples were loaded in polyacrylamide gel and ran for 1 hour (130 V). 423
HopA1, HopAD1, HopAF1, HopAM1, HopB1, HopE1, AvrPto, AvrPtoB, HopI1, HopK1, 424
HopY1, HopH1, HopM1, HopN1, HopO1 -1, HopQ1 -1, HopF2, HopT1 -1, HopU1, HopV1, 425
and HopX1 protein samples were loaded in 10 % polyacrylamide gel. HopAA1-1, HopAA1-2, 426
HopAO1, AvrE1, HopC1, HopD1, HopR1, and HopG1 were loaded in 4~12 % Mini-427
PROTEAN TGX Precast Gels (Bio-Rad, https://www.bio-rad.com/). Proteins were transferred 428
from the polyacrylamide gel into PVDF membranes for one hour (100 V). Protein-transferred 429
PVDF membranes were blocked using 5 % (w/v) skim milk in Tris-Buffered Saline (pH 7.4), 430
and 0.1 % Tween20 (TBST) for 30 minutes. After blocking, anti -HA (Roche 11867423001; 431
1:2000 dilution) antibodies were added to the blocking buffer and incubated for 1 hour at room 432
temperature. The membrane was washed for five minutes ( five times ) using TBST. The 433
membranes were blocked in a blocking buffer for 30 minutes at room temperature . Anti-rat 434
secondary antibody (Sigma A9037; 1:20000 dilution) was added to the blocking buffer. The 435
membranes were incubated for 1 hour 30 minutes at room temperature. Membranes were 436
washed for five minutes (five times) using TBST. Proteins were visualized using Super Signal 437
West Pico and Femto Chemiluminescent substrate (Thermo Fisher Scientific, 438
https://www.thermofisher.com/) through ChemiDoc XRS+ with Image Lab Software (Bio -439
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Rad). After visualization, Membranes were stained with Ponceau S to estimate the quantity of 440
proteins. 441
442
Hypersensitive response, in planta growth, and dip inoculation assays using Pseudomonas 443
Pseudomonas syringae pv. tomato DC3000 wild-type and mutant strains were grown on KB 444
agar with appropriate antibiotics. Pto DC3000 cells were resuspended in autoclaved 445
Pseudomonas infiltration buffer (10 mM MgCl 2). The inoculum was diluted to OD 600nm=0.1 446
for HR assays , OD600nm=0.0001 for in planta growth assay s and OD600nm=0.001 for dip 447
inoculation. The bacterial inoculum was infiltrated using a needleless syringe into four to five-448
week-old S. americanum leaves. HR was scored from 0 to 7 one day post infiltration. HR 449
scoring criteria were described in Figure S2 and revised from the previous study (Ahn et al., 450
2023). The HR scores triggered by Pto DC3000 wild-type and effector knockout mutant s are 451
shown in the violin plots showing individual replicate data. For in planta bacterial growth, two 452
leaf discs (8 mm diameter) were grounded and diluted in 500 μL of autoclaved Pseudomonas 453
infiltration buffer. Serial dilutions (10 μL) were spotted on KB agar with appropriate antibiotics. 454
Colonies were counted after two days at 28 ℃. Three to four plants were used per batch repeat. 455
The bacterial growth (CFU/cm 2) is shown in the bar graph with individual data. For dip 456
inoculation, the bacteria inoculum was diluted to OD600nm=0.001 in Pseudomonas infiltration 457
buffer and 0.05 % Silwet L-77. Four- to five-week-old SP2273 leaves were dipped and gently 458
swirled for 2 minutes. The dipped S. americanum leaves were covered for one day to maintain 459
humidity (11h light, 23 ℃). The photographs were taken 12 days after dip inoculation. 460
461
Generation of Pseudomonas syringae pv. tomato DC3000 effector knock-out strains 462
Details of effector deletion in Pto DC3000 can be found in (Jayaraman et al., 2020). Recipient 463
bacteria were incubated on KB agar with Rifampicin ( 50 μg/mL). Helper E. coli HB101 and 464
Donor E. coli DH5α carrying suicide vector (pK18mobsacB -GG) containing upstream and 465
downstream regions of the target effector were cultured on LB medium containing Kanamycin 466
(50 μg/mL). All three bacteria strains were mixed on LB agar without antibiotics and incubated 467
for 6-7 hours at 28 ℃. Mixed bacteria were streaked on KB agar with Rifampicin (50 μg/mL) 468
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17
and Kanamycin (50 μg/mL). After 2 days of incubation at 28 ℃, a single colony was selected. 469
A single colony was inoculated into liquid LB media with Rifampicin (50 μg/mL) and grown 470
for one day at 28 ℃. The cultured bacteria were streaked on KB agar media containing 471
Rifampicin (50 μg/mL) and 10 % sucrose (w/v). After two days of incubation at 28 ℃, a single 472
colony was selected. Successful knockouts showed reduced band size s using specific PCR 473
primers (see Table S11 for details). 474
475
DATA A V AILABILITY 476
All relevant data can be found in the manuscript , Supplemental information, and public 477
databases (NCBI). 478
479
FUNDING 480
This research was supported by the National Research Foundation of Korea (NRF) grants 481
funded by the Korean government (MIST) (RS-2025-00512558 and 2023R1A2C3002366) and 482
Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, and Forestry 483
(IPET) through the Agriculture and Food Convergence Technologies Program for Research 484
Manpower Development, funded by the Ministry of Agriculture, Food and Rural Affairs 485
(MAFRA) (No. RS-2024-00398300). 486
487
AUTHOR CONTRIBUTIONS 488
JK and KHS designed the experiments. JK performed the experiments. JK, MVZ, and KHS 489
analyzed the data. JK and KHS wrote the manuscript. 490
491
Acknowledgements
492
We thank Prof. Duck Hwan Park ( Kangwon National University, Republic of Korea) and Dr. 493
Jay Jayaraman (Plant and Food Research, New Zealand) for sharing materials. The authors 494
declare no competing interests. 495
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18
496
SUPPLEMENTAL INFORMATION 497
Figures S1. Generation and confirmation of primary candidate effectors knockout, related to 498
Figure 3 499
Figure S2. Hypersensitive response scoring criteria in Solanum americanum, Related to 500
Figure 3 and Figure 5 501
Figure S3. Generation and confirmation of effector knockout, Related to Figure 5 502
Table S1. Solanum americanum accessions used in this study 503
Table S2. Bacterial strains used in this study 504
Table S3. Plasmids used in this study 505
Table S4. Raw data of in planta bacterial growth, Related to Figure 1 506
Table S5. Type III effector expected protein size, Related to Figure 2 and Figure 4 507
Table S6. Raw data of in planta bacterial growth, Related to Figure 3 508
Table S7. Raw data of hypersensitive response scoring, Related to Figure 3 509
Table S8. Raw data of in planta bacterial growth, Related to Figure 5 510
Table S9. Raw data of hypersensitive response scoring, Related to Figure 5 511
Table S10. Numbers of species or pathovars analyzed in this study, Related to Figure 7 512
Table S11. Excel file containing information of primers used in this study 513
Table S12. Excel file containing sequence information of synthesized constructs 514
515
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19
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693
FIGURE LEGENDS 694
Figure 1. Pseudomonas syringae pv. tomato DC3000 polymutants show type III effector-695
dependent phenotypes in Solanum americanum. 696
(A) HR phenotypes triggered by Pto DC3000 wild -type and polymutants. Strains were 697
infiltrated using a needleless syringe (OD 600nm=0.1) into S. americanum accession SP2273 698
leaves. Photographs were taken one day post infiltration. Red dashed borders indicate HR, and 699
black dashed borders indicate no HR within the infiltrated area. (B) In planta bacterial growth 700
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25
of Pto DC3000 wild-type and polymutants in S. americanum. Bacteria were infiltrated using a 701
needleless syringe at OD 600nm=0.0001 in SP2273. In planta bacterial growth was quantified 702
four days post infiltration. Individual data points are represented by red dots, and the bar s 703
indicate standard deviation. Raw data is presented in Table S4. Statistical significance was 704
determined using one-way ANOV A followed by Dunnett’s multiple tests (ns: nonsignificant, 705
**: p<0.01, ***: p<0.001). GRAPHPAD PRISM v.10.0.1 was used for statistical analysis. (C) 706
Type III effector repertoire s in Pto DC3000 polymutants. Effectors within the box are the 707
remaining effectors in each Pto DC3000 polymutant. 708
709
Figure 2. AvrPto, HopAM1, or HopAD1 triggers a hypersensitive response in Solanum 710
americanum. (A) 11 effectors present in D18E but not in D29E were transiently expressed in 711
SP2273. Agrobacterium carrying C-terminal HA-tagged effectors was infiltrated into SP2273 712
at OD600nm=0.4 with P19 (OD600nm=0.2), which is suppressor of gene silencing . Photographs 713
were taken four days post infiltration. Red borders indicate the presence of HR. (B) Protein 714
accumulation of effectors was confirmed by immunoblot assay. Agrobacterium carrying C-715
terminal HA-tagged type III effectors and P19 were co-infiltrated into Nicotiana benthamiana 716
leaves. The inoculum concentration of the effector was OD 600nm=0.4 and P19 concentration 717
was OD 600nm = 0.2. Leaf samples were collected two days post infiltration. Protein 718
accumulation was detected using an anti-HA antibody. Yellow asterisks indicate expected 719
protein bands. Ponceau S staining shows an equal amount of protein loading. 720
721
Figure 3. Deletion of avirulence effectors enhance s in planta bacterial growth but 722
maintains hypersensitive response induction. (A) Names of Pto DC3000 mutants and 723
deleted effectors. Effector deletions were performed sequentially , as detailed in the Methods 724
section. (B) Pto DC3000 mutants deleted with HR-triggering effectors show enhanced growth 725
compared to wild-type. Bacterial strains were infiltrated at OD600nm=0.0001 using a needleless 726
syringe into SP2273. In planta bacterial growth was assessed 4 days post infiltration. Each red 727
dot represents the individual replicate , with the bar s indicating the standard deviation. Raw 728
data are shown in Table S6. Statistical significance was determined using one -way ANOV A 729
followed by Dunnett ’s multiple tests (ns: nonsignificant, **: p<0.01, ****: p<0.0001). 730
.CC-BY-NC 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
26
GRAPHPAD PRISM v.10.0.1 was used for statistical analysis. (C) Pto DC3000 mutants still 731
trigger HR. Bacterial strains were infiltrated at OD 600nm=0.1 using a needleless syringe into 732
SP2273 leaves. HR was scored one day post infiltration on a scale from 0 (no HR) to 7 (full 733
HR), represented as violin plots. HR scoring criteria are shown in Figure S2, revised from the 734
previous study (Ahn et al ., 2023). Individual data points are shown as red dots. Statistical 735
significance was conducted using the Kruskal -Wallis test followed by Dunn ’s multiple 736
comparison test (ns: nonsignificant, **: p<0.01, ****: p<0.0001), using GRAPHPAD PRISM 737
v.10.01. Raw data of HR scoring are shown in Table S7. (D) Representations of HR phenotypes. 738
Bacterial strains were syringe-infiltrated at OD 600nm=0.1 into SP2273 leaves. The HR photos 739
were taken one day post infiltration. The red border indicates the presence of HR. 740
741
Figure 4. HopAA1-1, AvrE1, HopC1, or HopM1 triggers hypersensitive response in 742
Solanum americanum. (A) 18 effectors were transiently expressed in S. americanum leaves. 743
Agrobacterium carrying HA-tagged type III effector and P19 constructs which is suppressor of 744
gene silencing were co-infiltrated into SP2273 at OD 600nm=0.4 and 0.2, respectively . 745
Photographs were taken four days post infiltration. (B) Protein accumulation of effectors was 746
confirmed by immunoblot assay. Agrobacterium carrying C -terminal HA -tagged type III 747
effectors and P19 were co -infiltrated in Nicotiana benthamiana leaves. The inoculum 748
concentration of the effector was OD600nm=0.4, and P19 concentration was OD600nm = 0.2. Leaf 749
samples were collected two days post infiltration. Protein accumulation was visualized using 750
an HA antibody. Yellow asterisks indicate the expected protein size bands. Ponceau S staining 751
shows an equal amount of protein loading. 752
753
Figure 5. Pto DC3000 mutants lacking HR-triggering effectors show enhanced bacterial 754
growth and reduced hypersensitive response phenotypes. (A) Table lists mutant names and 755
deleted effectors in each mutant. Effector deletions were performed sequentially and detailed 756
Method
for effector deletion is explained in Methods section. (B) PKSG 7826, lacking avrPto, 757
hopAM1, hopAD1, hopC1, and hopAA1-1 shows enhanced growth compared to Pto DC3000 758
wild-type. Bacterial strains were infiltrated at OD600nm=0.0001 using a needleless syringe into 759
SP2273 leaves. In planta bacterial growth was quantified four days post infiltration. Individual 760
.CC-BY-NC 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
27
data points are represented by red dots, with bars indicating the standard deviation. Statistical 761
analysis was conducte d using one -way ANOV A followed by Dunnett ’s multiple comparison 762
tests (ns: nonsignificant, **: p<0.01, ****: p<0.0001). GRAPHPAD PRISM v.10.0.1 was used 763
for statistical tests. Raw data of bacterial growth are shown in Table S8. (C) PKSG 7892 , 764
lacking all HR-triggering effectors, does not trigger HR. Bacterial strains were infiltrated at 765
OD600nm=0.1 using a needleless syringe into SP2273 leaves. HR was scored one day post 766
infiltration on a scale from 0 (no HR) to 7 (full HR), represented as violin plots. HR scoring 767
criteria are shown in Figure S2, revised from the previous study (Ahn et al., 2023). Individual 768
data points are shown as red dots. Statistical significance was conducted using the Kruskal -769
Wallis test followed by Dunn’s multiple comparison test (ns: nonsignificant, **: p<0.01, ****: 770
p<0.0001), using GRAPHPAD PRISM v.10.01. The raw data of HR scoring are shown in Table 771
S9. (D) Representations of HR phenotypes. Bacterial strains were infiltrated at OD 600nm=0.1 772
using a needleless syringe into SP2273 leaves. The HR photographs were taken one day post 773
infiltration. The red solid borders indicate the presence of HR, and the red dashed borders 774
indicate weak HR. 775
776
Figure 6. PKSG 7826 causes visible disease symptoms in Solanum americanum. (A) 777
Bacterial speck phenotype was caused by PKSG 7826. The bacterial inoculum was infiltrated 778
using a needleless syringe into SP2273 leaves . The concentration of bacterial inoculum was 779
OD600nm=0.00001. Photographs were taken 7 days post infiltration. Pto DC3000 wild-type was 780
used as a negative control. The red border indicates the bacterial disease phenotype and the red 781
dashed border indicates a weak disease phenotype in the infiltrated area. (B) PKSG 782 6 782
induces the bacterial speck in SP2273. The leaves were dipped and swirled in the bacterial 783
inoculum for 2 minutes. The OD600nm of bacterial inoculum was 0.001 and mixed with 0.05 % 784
silwet L-77. The photographs were taken 12 days after dipping. 785
786
Figure 7. Conservation of hypersensitive response-triggering effectors in Pseudomonas 787
syringae strains. (A) Each effector sequence was compared to the reference effector sequences 788
from Pto DC3000. ‘Non-expressed’ effectors are categorized based on expression information 789
from a previous study (Laflamme et al., 2020). ‘Absent’ indicates effectors with an e -value 790
.CC-BY-NC 4.0 International licensemade available under a
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28
higher than 1e -24 or coverage below 60 %. ‘Truncated’ means each strain’s effector coverage 791
compared to the Pto DC3000 is between 60-90 %. ‘Present’ means each strain’s effector and 792
Pto DC3000 effector sequence showed over 90 % identity. The number below the table 793
indicates the percentage of strains number having ‘present’ effector genes out of a total of 117 794
strains. (B) Number of P . syringae strains number according to their effector presence. The 795
color information is the same as the index in Figure 7A. ‘P’ indicates Pseudomonas and ‘Ps’ 796
indicates Pseudomonas syringae. 797
798
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The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
Figure 1. Pseudomonas syringae pv. tomato DC3000 polymutants show type III
effector-dependent phenotypes in Solanum americanum.
D18E
DC3000
D36E
D29E
(A)
Pto DC3000
wild-type
HopAA1-1
HopAA1-2
HopAO1
AvrE1
HopC1
HopD1
HopR1
HopG1
HopM1
HopN1
HopH1
HopQ1-1
HopF2
HopT1-1
HopU1
HopV1
HopX1
HopO1-1
HopE1
HopI1
HopB1
HopAF1
AvrPto
HopK1HopAM1
HopY1
AvrPtoB
HopA1
HopAD1
D18E
HopS2
HopT2HopO1-3’
HopT1-2’HopO1-2
HopS1’
HopBM1
D29E
(B)
(C)
D36E D29E D18E WT
0
1
2
3
4
5
6
7
in planta bacterial growth
Log10(CFU/cm2)
ns ns
***
(A) HR phenotypes triggered by Pto DC3000 wild-type and polymutants. Strains were infiltrated using a needleless
syringe (OD600nm=0.1) into S. americanum accession SP2273 leaves. Photographs were taken one day post
infiltration. Red dashed borders indicate HR, and black dashed borders indicate no HR within the infiltrated area. (B)
In planta bacterial growth of Pto DC3000 wild-type and polymutants in S. americanum. Bacteria were infiltrated using
a needleless syringe at OD600nm=0.0001 in SP2273. In planta bacterial growth was quantified four days post
infiltration. Individual data points are represented by red dots, and the bars indicate standard deviation. Raw data is
presented in Table S4. Statistical significance was determined using one-way ANOVA followed by Dunnett’s multiple
tests (ns: nonsignificant, **: p<0.01, ***: p<0.001). GRAPHPAD PRISM v.10.0.1 was used for statistical analysis. (C)
Type III effector repertoires in Pto DC3000 polymutants. Effectors within the box are the remaining effectors in each
Pto DC3000 polymutant.
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The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
EV
HopAD1
HopAM1
HopY1
HopAF1
AvrPtoB
AvrPto HopK1
HopB1
HopE1
HopI1
HopA1
(A)
(B)
Ponceau S
α-HA
100
70
55
40
kDa
*
*
* *
*
*
* *
**
*
Figure 2. AvrPto, HopAM1, or HopAD1 triggers a hypersensitive response in
Solanum americanum.
(A) 11 effectors present in D18E but not in D29E were transiently expressed in SP2273. Agrobacterium carrying
C-terminal HA-tagged effectors was infiltrated into SP2273 at OD600nm=0.4 with P19 (OD600nm=0.2), which is
suppressor of gene silencing. Photographs were taken four days post infiltration. Red borders indicate the
presence of HR. (B) Protein accumulation of effectors was confirmed by immunoblot assay. Agrobacterium
carrying C-terminal HA-tagged type III effectors and P19 were co-infiltrated into Nicotiana benthamiana leaves.
The inoculum concentration of the effector was OD600nm=0.4 and P19 concentration was OD600nm = 0.2. Leaf
samples were collected two days post infiltration. Protein accumulation was detected using an anti-HA antibody.
Yellow asterisks indicate expected protein bands. Ponceau S staining shows an equal amount of protein loading.
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The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
D36E WT PKSG
4673
PKSG
7065
PKSG
7903
PKSG
7377
avrPto X X X X X
hopAM1-1 X X X X
hopAM1-2 X X X
hopAD1 X X
Remaining
effectors X
(A)
WT PKSG
4673
PKSG
7065
PKSG
7903
PKSG
7377
D36E
(D)
(B) (C)
D36E WT PKSG
4673
PKSG
7065
PKSG
7903
PKSG
7377
****
0
1
2
3
4
5
6
7
in planta bacterial growth
Log10(CFU/cm2)
****
ns
ns
ns ns
0
1
2
3
4
5
6
7
8
9
10Cell death score
D36E WT PKSG
4673
PKSG
7065
PKSG
7903
PKSG
7377
Figure 3. Deletion of avirulence effectors enhances in planta bacterial growth but
maintains hypersensitive response induction.
(A) Names of Pto DC3000 mutants and deleted effectors. Effector deletions were performed sequentially, as detailed
in the Methods section. (B) Pto DC3000 mutants deleted with HR-triggering effectors show enhanced growth
compared to wild-type. Bacterial strains were infiltrated at OD600nm=0.0001 using a needleless syringe into SP2273. In
planta bacterial growth was assessed 4 days post infiltration. Each red dot represents the individual replicate, with the
bars indicating the standard deviation. Raw data are shown in Table S6. Statistical significance was determined using
one-way ANOVA followed by Dunnett’s multiple tests (ns: nonsignificant, **: p<0.01, ****: p<0.0001). GRAPHPAD
PRISM v.10.0.1 was used for statistical analysis. (C) Pto DC3000 mutants still trigger HR. Bacterial strains were
infiltrated at OD600nm=0.1 using a needleless syringe into SP2273 leaves. HR was scored one day post infiltration on a
scale from 0 (no HR) to 7 (full HR), represented as violin plots. HR scoring criteria are shown in Figure S2, revised
from the previous study (Ahn et al., 2023). Individual data points are shown as red dots. Statistical significance was
conducted using the Kruskal-Wallis test followed by Dunn’s multiple comparison test (ns: nonsignificant, **: p<0.01,
****: p<0.0001), using GRAPHPAD PRISM v.10.01. Raw data of HR scoring are shown in Table S7. (D)
Representations of HR phenotypes. Bacterial strains were syringe-infiltrated at OD600nm=0.1 into SP2273 leaves. The
HR photos were taken one day post infiltration. The red border indicates the presence of HR.
**** **** ****
****
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HopV1
HopX1
HopT1-1
HopU1HopF2
HopG1
HopO1-1
HopR1
HopN1
HopM1
HopQ1-1HopH1
HopAO1
HopAA1-2
HopAA1-1
AvrE1
EV
HopD1
HopC1
(A) 18 effectors were transiently expressed in S. americanum leaves. Agrobacterium carrying HA-tagged type III
effector and P19 constructs which is suppressor of gene silencing were co-infiltrated into SP2273 at OD600nm=0.4 and
0.2, respectively. Photographs were taken four days post infiltration. (B) Protein accumulation of effectors was
confirmed by immunoblot assay. Agrobacterium carrying C-terminal HA-tagged type III effectors and P19 were co-
infiltrated in Nicotiana benthamiana leaves. The inoculum concentration of the effector was OD600nm=0.4, and P19
concentration was OD600nm = 0.2. Leaf samples were collected two days post infiltration. Protein accumulation was
visualized using an HA antibody. Yellow asterisks indicate the expected protein size bands. Ponceau S staining shows
an equal amount of protein loading.
(A)
Ponceau S
70
100
40
25
kDa
70
100
40
55
kDa
α-HA
Ponceau S
α-HA
* * *
*
* *
*
*
* *
*
*
*
*
* *
Figure 4. HopAA1-1, AvrE1, HopC1 or HopM1 triggers hypersensitive response in
Solanum americanum.
.CC-BY-NC 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
(A)
D36E WT PKSG
7377
PKSG
7768
PKSG
7826
PKSG
7899
PKSG
7900
PKSG
7892
avrPto X X X X X X X
hopAM1-1 X X X X X X X
hopAM1-2 X X X X X X X
hopAD1 X X X X X X X
hopC1 X X X X X X
hopAA1-1 X X X X X
shcM-hopM1 X X X
shcE-avrE1 X X X
Remaining
effectors X
0
1
2
3
4
5
6
7
8
9
10Cell death score
D36E WT PKSG
7377
PKSG
7768
PKSG
7826
PKSG
7899
PKSG
7900
PKSG
7892
****
ns
** ** ** **** ****
WT PKSG
7377
PKSG
7768
PKSG
7826
PKSG
7899
D36E PKSG
7900
PKSG
7892
Figure 5. Pto DC3000 mutants lacking HR-triggering effectors show enhanced
bacterial growth and reduced hypersensitive response phenotypes.
(A) Table lists mutant names and deleted effectors in each mutant. Effector deletions were performed sequentially and
detailed method for effector deletion is explained in Methods section. (B) PKSG 7826, lacking avrPto, hopAM1, hopAD1,
hopC1, and hopAA1-1 shows enhanced growth compared to Pto DC3000 wild-type. Bacterial strains were infiltrated at
OD600nm=0.0001 using a needleless syringe into SP2273 leaves. In planta bacterial growth was quantified four days
post infiltration. Individual data points are represented by red dots, with bars indicating the standard deviation.
Statistical analysis was conducted using one-way ANOVA followed by Dunnett’s multiple comparison tests (ns:
nonsignificant, **: p<0.01, ****: p<0.0001). GRAPHPAD PRISM v.10.0.1 was used for statistical tests. Raw data of
bacterial growth are shown in Table S8. (C) PKSG 7892, lacking all HR-triggering effectors, does not trigger HR.
Bacterial strains were infiltrated at OD600nm=0.1 using a needleless syringe into SP2273 leaves. HR was scored one
day post infiltration on a scale from 0 (no HR) to 7 (full HR), represented as violin plots. HR scoring criteria are shown
in Figure S2, revised from the previous study (Ahn et al., 2023). Individual data points are shown as red dots. Statistical
significance was conducted using the Kruskal-Wallis test followed by Dunn’s multiple comparison test (ns:
nonsignificant, **: p<0.01, ****: p<0.0001), using GRAPHPAD PRISM v.10.01. The raw data of HR scoring are shown in
Table S9. (D) Representations of HR phenotypes. Bacterial strains were infiltrated at OD600nm=0.1 using a needleless
syringe into SP2273 leaves. The HR photographs were taken one day post infiltration. The red solid borders indicate
the presence of HR, and the red dashed borders indicate weak HR .
(B)
PKSG
7377
PKSG
7768
PKSG
7826
PKSG
7899
PKSG
7900
PKSG
7892
nsns
0
1
2
3
4
5
6
7
In planta bacterial growth
Log10(CFU/cm2)
D36E WT
****
****
****
****
****
(C)
(D)
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
WT PKSG
7826
(B)
WT PKSG
4673
PKSG
7065
PKSG
7903
PKSG
7377
PKSG
7768
PKSG
7826
PKSG
7899
PKSG
7900
PKSG
7892
(A)
Figure 6. PKSG 7826 causes visible disease symptoms in Solanum americanum.
(A) Bacterial speck phenotype was caused by PKSG 7826. The bacterial inoculum was infiltrated using a needleless
syringe into SP2273 leaves. The concentration of bacterial inoculum was OD600nm=0.00001. Photographs were taken
7 days post infiltration. Pto DC3000 wild-type was used as a negative control. The red border indicates the bacterial
disease phenotype and the red dashed border indicates a weak disease phenotype in the infiltrated area. (B) PKSG
7826 induces the bacterial speck in SP2273. The leaves were dipped and swirled in the bacterial inoculum for 2
minutes. The OD600nm of bacterial inoculum was 0.001 and mixed with 0.05 % silwet L-77. The photographs were
taken 12 days after dipping.
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
Total
HopAD1 8 0 109 0 0 117
HopAM1 25 2 90 0 0 117
AvrPto 34 0 81 0 2 117
HopC1 14 2 101 0 0 117
HopAA1 70 23 24 0 0 117
HopM1 74 16 26 1 0 117
AvrE1 109 3 5 0 0 117
Present (>90 % coverage)
Truncated (60-90 % coverage)
Absent (90 %
coverage)
(B)
HR-triggering effectors
Figure 7. Conservation of hypersensitive response-triggering effectors in
Pseudomonas syringae strains
(A)
(A) Each effector sequence was compared to the reference effector sequences from Pto DC3000. ‘Non-expressed’
effectors are categorized based on expression information from a previous study (Laflamme et al., 2020). ‘Absent’
indicates effectors with an e-value higher than 1e-24 or coverage below 60 %. ‘Truncated’ means each strain’s
effector coverage compared to the Pto DC3000 is between 60-90 %. ‘Present’ means each strain’s effector and Pto
DC3000 effector sequence showed over 90 % identity. The number below the table indicates the percentage of
strains number having ‘present’ effector genes out of a total of 117 strains. (B) Number of P. syringae strains number
according to their effector presence. The color information is the same as the index in Figure 7A. ‘P’ indicates
Pseudomonas and ‘Ps’ indicates Pseudomonas syringae.
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted May 3, 2025. ; https://doi.org/10.1101/2025.05.01.651788doi: bioRxiv preprint
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