Results
105
Genome-wide screen identifies Pseudomonas protegens Pf-5 genetic determinants for 106
early root attachment 107
We developed an in vitro tissue culture system for propagating tomato roots in liquid 108
medium (Fig. 1A, B). This platform allows large volumes of root tissue with an extensive surface 109
for attachment to be cultivated independently of whole plants under highly controlled conditions. 110
We then engineered a Pf-5 strain expressing mVenus and used it to carefully optimize conditions 111
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6
for robust colonization of root tissue. Pf-5 was inviable in standard root culture medium, but 112
adding carbon sources commonly detected in root exudates allowed Pf-5 to grow (Fig. S1A-C) 113
(33). We validated our system by comparing root association of fluorescently-tagged wild-type 114
Pf-5 to a mutant lacking the large surface adhesin LapA (27). Bacterial abundance on roots was 115
measured by imaging total emitted fluorescence from roots in plate wells (Fig. 1C), measuring 116
the fluorescence emitted by cells recovered from roots or directly quantifying viable cell counts 117
(Fig. 1D; Fig. S1D). Both strains attached to root tissue, but roots inoculated with the Δ lapA 118
mutant emitted reduced levels of fluorescence and carried less CFUs compared with wild-type 119
Pf-5, consistent with a deficiency in root attachment. 120
We used the in vitro colonization system to perform a genome-wide screen for Pf-5 genes 121
involved in attachment to roots. A barcoded transposon mutant library was inoculated into flasks 122
containing root tissue, and the mutant pool was allowed to attach to roots for 24 hours (34). We 123
predicted that mutants that retained the ability to associate with root tissue would partition out of 124
the medium as they attached to roots, enriching for attachment deficient mutants in the liquid 125
medium. We amplified these selections by inoculating the unattached population into fresh root 126
tissue for four additional passages (Fig. 3A). Barcode abundances from the initial mutant 127
population and from the unattached fraction after each root passage were used to calculate 128
fitness scores for each gene across the passages (Fig. 3B; Table S1). 129
Genes with the strongest effects on root attachment are shown in Tables 1 and 2. 130
Mutations causing the strongest defects in root attachment mapped to gacS and gacA which 131
encode a histidine kinase-response regulator pair that sits atop a large regulatory hierarchy. 132
Mutations affecting transcription factors ( PFL_2828, PFL_0502, PFL_1588), uncharacterized 133
transporters (PFL_4192, PFL_1740), the pxpABC operon encoding the allophanate hydrolase 134
enzyme (PFL_1513-1515) (35), as well as genes involved in c-di-GMP (PFL_5779, PFL_4532), 135
lipid (PFL_5687), and carbon (PFL_6157) metabolism also caused root attachment deficiencies. 136
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7
Mutations that enhanced root attachment were concentrated in genes required for the function 137
of the flagellum, including assembly regulators, structural components and chemotaxis systems 138
(36). In-frame deletion mutants Δ gacS and ΔgacA recapitulated the strong attachment defect, 139
with root attachment reduced by ~60% relative to wild-type (Fig. 3C). The Δ fliF mutant, 140
representing flagellar structural mutants and lacking a flagellum, attached ~30% more effectively 141
than wild type. Deletion mutants of PFL_1588, PFL_4192, PFL_2828, PFL_0502, PFL_5779, 142
and PFL_4532 were hypoadhesive, consistent with the Tn-Seq results. The Δ cheY mutant was 143
hypoadhesive despite appearing hyperadhesive in the Tn-Seq results. ΔPFL_1513 did not differ 144
significantly from wild type, although it was hypoadhesive in the Tn-Seq results. All the deletion 145
mutants displayed comparable growth kinetics to wild type (Fig. S2A). 146
147
Flagellar-dependent surface sensing activates the gac system 148
We sought to understand two groups of genes with opposing effects on root colonization. 149
gacS and gacA mutants have severe root attachment defects (Fig. 3). Activation of the gacSA 150
two-component system induces expression of small RNAs called rsm, which go on to activate 151
genes involved in biofilm formation, secondary metabolite production, and exopolysaccharide 152
synthesis (37). Mutating flagellar genes in Pf-5 strongly enhances root attachment (Fig. 3). The 153
flagellum plays numerous roles throughout the process of biofilm formation including facilitating 154
productive contact with surfaces and recognizing physical cues for contact with surfaces (36, 155
38). We confirmed that the root colonization phenotypes of Δ gacS, Δ gacA, and Δ fliF were 156
complemented by ectopic expression of arabinose-inducible forms of each mutated gene (Fig. 157
S2B). We then used epistasis analysis to determine whether the gac and flagellar genes 158
contributed to a unified pathway controlling root attachment. A Δ fliF ΔgacA double mutant 159
displayed a root colonization defect comparable to the ∆ gacA single mutant, indicating that the 160
gac system is required for enhanced root attachment in flagellar mutants (Fig. 4A, Fig. S3). To 161
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8
determine whether differences in root attachment correlate with altered c-di-GMP levels, which 162
are known to promote bacterial adhesion during responses to surface contact, we quantified c-163
di-GMP levels using a fluorescent reporter (39). The Δ fliF mutant showed elevated c-di-GMP 164
and the ΔgacA mutant exhibited lower c-di-GMP concentrations than wild-type. The ΔfliF ΔgacA 165
double mutant displayed c-di-GMP levels matching the wild-type phenotype and confirming that 166
the hyperadhesive, high-c-di-GMP state of ΔfliF depends on gacA. 167
Mutations that disrupt flagellar assembly enhance biofilm formation in several bacteria by 168
activating surface sensing pathways (36, 38). We predicted that the Δ fliF mutation enhances 169
adhesion by mimicking surface contact, which in turn activates the gac system. We monitored 170
transcriptional reporters for the three small RNAs that are directly activated by GacA~P in Pf-5 171
(rsmX, rsmY, and rsmZ) under conditions designed to induce surface sensing (Fig. 4C) (40, 41). 172
Surface sensing was stimulated by increasing medium viscosity with methyl cellulose (42), by 173
disrupting flagellar assembly using the ΔfliF mutation, or by incubating cells on an agar surface. 174
gac activity was elevated across all conditions where surface sensing was stimulated (Fig. 3D-175
G). Similar trends were observed for all three rsm reporters (Fig. S4). Together, these findings 176
support a model in which physical contact with surfaces causes the flagellum to activate the gac 177
system. 178
179
The gac system integrates physical and chemical cues to control surface attachment 180
To evaluate how the attachment phenotypes we measured on root tissue compare to 181
abiotic surface attachment, we quantified biofilm formation in microtiter plates using a crystal 182
violet (CV) staining assay. We observed a different attachment pattern on an abiotic surface 183
than we measured on root tissue. The ∆fliF mutant remained hyperadhesive on abiotic surfaces, 184
and a Δ fliF ΔgacA double mutant still lost the enhanced adhesion of Δ fliF alone (Fig. 5A). 185
However, the ∆gacA single mutant and the ΔfliF ΔgacA double mutant showed identical levels 186
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9
of CV staining to the wild-type strain. These results indicate the gac system plays a stronger role 187
in attachment to tissue than to abiotic surfaces. 188
We predicted that differences in colonization efficiencies of gac mutants on root tissues 189
compared to abiotic surfaces could be explained by the presence of exudates that accumulate 190
in tissue culture medium (43, 44). We measured gac reporter activity in media that had been 191
conditioned by roots for 6, 16, and 24 hours. Activation of all three gac reporters increased with 192
longer root conditioning times. No activation was observed in the Δ gacA mutant (Fig. 5B, Fig. 193
S5A and C). These results demonstrate that root-secreted molecules stimulate gac signaling. 194
We next tested whether the chemical signals from root exudates and physical signals 195
from the flagellum activate the gac system in an additive manner or through a sequential logic 196
in which one cue is required before the other can be detected. To distinguish these possibilities, 197
we examined gac activity, c-di-GMP levels, and surface attachment in a CV assay, under 198
conditions with surface sensing activated or chemical cues alone, or both inputs together. When 199
we combined the two signals using root-conditioned media and a Δ fliF mutant, we observed 200
higher levels of gac reporter activation, higher c-di-GMP levels, and increased adhesion, 201
compared to conditions with either input alone (Fig. 5C-E, Fig. S5B and D). This enhancement 202
indicates that the gac system integrates physical and chemical signals to promote root 203
colonization. 204
205
Activating flagellar surface sensing enhances competitive root colonization 206
Rhizosphere colonization efficiency is thought to be driven by competitive interactions 207
among soil organisms. We predicted that activating surface responses and gac signaling using 208
the ΔfliF mutation would provide Pf-5 with a competitive advantage over other bacteria during 209
root attachment. We performed a root attachment assay in the presence of THOR, a synthetic 210
bacterial community composed of three members isolated from the soybean rhizosphere (45). 211
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10
Co-inoculation with THOR reduced the attachment efficiency of wild-type Pf-5 by ~40%, while 212
the ΔgacA mutant remained at low abundance (Fig. 6A). In contrast, the ΔfliF mutant maintained 213
elevated attachment efficiency in the presence of THOR. These results show that enhanced 214
activation of attachment programs in the Δ fliF mutant is sufficient to overcome bacterial 215
competition in the root environment. 216
217
Materials and methods
322
Growth conditions and genetic manipulations 323
Growth media were supplemented with 1.5% (w/v) agar, 300 µM diaminopimelic acid (DAP), 50 324
µg/mL gentamycin, 100 µg/mL carbenicillin, and 50 µg/mL kanamycin when necessary. E. coli 325
was cultured in LB medium at 37°C, P. protegens in King’s B medium (KBM) at 30°C, A. 326
rhizogenes in Nutrient broth at 30°C. Plasmids were introduced into P. protegens Pf-5 by 327
biparental conjugation with WM3064 as the donor strain. Gene deletions or insertions were 328
generated using a two-step approach with a sacB-based counterselection. Mutants were 329
complemented by genomic integration of the deleted gene under the arabinose promoter using 330
the Tn7 transposon (83). Mutants were fluorescently-tagged by inserting an mVenus expression 331
cassette into the CTX att site or glmS site (83, 84). Plasmids and strains used in this study are 332
listed in Table S2 and Table S3, respectively. 333
334
Establishment of tomato hairy root cultures 335
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15
Tomato ( Solanum lycopersicum cv. Rio-Grande) seedlings were transformed with 336
Agrobacterium rhizogenes 15834 to generate hairy roots as previously described (85). To 337
generate a root biomass, the most vigorous roots, identified by their bright white color, high 338
density of root hairs, and length, were excised and transferred to 250 mL flasks containing 50 339
mL of 0.5× MS medium (pH 5.8) with 3% sucrose and supplemented with 200 µg/mL carbenicillin 340
and 200 µg/mL cefotaxime to suppress Agrobacterium growth. Flasks were incubated in the dark 341
at 25 °C with shaking at 75 rpm, and the medium was refreshed weekly. After 2-3 weeks, when 342
roots had filled the entire flask volume, they were cut and transferred into microplate wells for 343
attachment assays. 344
345
Tn-Himar mutant library construction and mapping 346
Construction and mapping of the Pf-5 transposon library was performed based on the method 347
developed by Wetmore et al. (34). Mid-log phase cells from cultures of the APA_752 barcoded 348
transposon pool grown in LB medium supplemented with kanamycin and DAP and mid-log 349
phase Pf-5 cells from cultures grown in KBM were collected by centrifugation, washed, mixed in 350
a 1:1 ratio, and spotted on a KBM agar plate containing DAP. After incubation for 24 h at 30°C, 351
cells were scraped from the plate, resuspended in KBM medium, and spread onto 20 150-mm 352
KBM plates containing kanamycin, followed by incubation at 30°C for 3 days. Colonies were 353
scraped into KBM medium and used to inoculate a KBM culture containing 25 μg/mL kanamycin. 354
The culture was grown for three doublings, glycerol was added to 15%, and 1 mL aliquots were 355
frozen at -80°C. Mapping genomic insertion positions was performed as described previously 356
(86). The features of the obtained library are: 57,304,857 total reads, 25,081,887 mapped reads 357
in pool, 784,810 mapped barcodes in pool, 161,378 distinct insertion sites, 5,816 coding genes 358
with central insertions, 53 median strains per hit protein, 81.7 mean strains per hit protein. 359
360
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16
Adhesion profiling of barcoded Tn-Himar mutant libraries 361
Adhesion profiling was performed based on the method developed by Hershey et al. (86). Flasks 362
containing hairy roots were prepared by refreshing the medium 48 h prior to inoculation, allowing 363
root-secreted compounds to accumulate. A 750 μL inoculum of the barcoded transposon library 364
was added to a 250 mL flask containing 75 mL of medium and hairy roots, and flasks were 365
incubated for 24 h at 25°C with shaking at 75 rpm to allow bacterial attachment. Following 366
incubation, 750 μL of the culture was transferred into a new flask with hairy roots, while cells 367
from an additional 30 mL of culture were collected by centrifugation and stored at −20°C for 368
BarSeq analysis. This procedure was performed five times for a total of five sequential passaging 369
rounds. Parallel cultures were grown in flasks containing root-conditioned medium but no hairy 370
roots, serving as a reference condition. Genomic DNA was extracted from cell pellets and served 371
as templates for amplifying the barcodes in each sample using indexed primers (34). Amplicons 372
were purified using AMPure XP magnetic beads (Beckman Coulter) and pooled for multiplexed 373
sequencing. Next, 50-bp single-end reads were collected on an Illumina NovaSeq X Plus 374
sequencer. MultiCodes.pl, combineBarSeq.pl, and BarSeqR.pl were used to determine fitness 375
by comparing the log2 ratios of barcode counts in each sample over the counts from nonselective 376
growth without hairy roots. For each mutant, the pracma R package was used to calculate the 377
area under the curve of fitness scores across passages to rank mutants according to their hypo- 378
or hyper-adhesive phenotypes. 379
380
Crystal violet staining assay 381
Overnight cultures were resuspended in 0.5× MS medium (pH 5.8) supplemented with 3% 382
sucrose and 20 mM succinate, which was either freshly prepared or conditioned with hairy roots 383
for 24 h. Resuspensions were normalized to OD 600 0.002, and 450 L was added to each well 384
of a 48-well microtiter plate. Plates were incubated shaking for 24 h at 30C and 200 rpm. OD600 385
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17
was measured to account for growth differences. Culture broth was discarded and the wells were 386
washed by dipping the microtiter plate in a bin with tap water. 500 L of 0.1% (w/v) crystal violet 387
solution was added to each well, and the plate was shaken for 30 min before the dye was 388
discarded and wells washed in the same manner. The retained dye was dissolved in 500 L of 389
absolute ethanol by shaking for 10 min. OD 575 was measured in each well and normalized to 390
OD600. 391
392
Measurement of c-di-GMP 393
Strains were transformed with the pConRef-2H12.D11 c-di-GMP reporter plasmid (39). 394
Overnight cultures were resuspended in 0.5× MS medium (pH 5.8) supplemented with 3% 395
sucrose and 20 mM succinate. MS media was either freshly prepared or conditioned with hairy 396
roots for 24 h. Cell suspensions were normalized to OD600 0.02, and 200 μL was dispensed into 397
wells of a 96-well microtiter plate. Plates were incubated shaking for 24 h at 30 °C and 200 rpm, 398
after which fluorescence was measured using a BioTek Synergy H1 microplate reader for 399
cdGreen2.1 (Excitation: 470 nm, emission: 515 nm) and normalized to the reference mScarlet-I 400
(Excitation: 575 nm, emission: 632 nm). 401
402
Measurement of gac activity reporters 403
Strains were grown overnight in 0.5× MS medium (pH 5.8) supplemented with 3% sucrose and 404
20 mM succinate. To evaluate the effects of the ΔfliF mutation and methyl cellulose on reporter 405
activity, overnight cultures were diluted 100-fold into 96-well plates containing 200 μL of the 406
indicated medium per well and incubated for 24 h. Plates were shaken when assessing the effect 407
of the ΔfliF mutation and incubated statically for methyl cellulose. Fluorescence was measured 408
using a BioTek Synergy H1 microplate reader (mVenus; Excitation: 500 nm; emission: 540 nm) 409
and normalized to OD 600. For microscopy, overnight cultures were diluted 10-fold, and 2 µL of 410
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18
cells were placed on a 2% agarose pad to immobilize the cells. Cells were imaged immediately 411
to quantify reporter activity in planktonic cells and imaged again after 1 h to measure reporter 412
activity in surface-sensing cells. Microscopy was performed using a Nikon Ti-E inverted 413
microscope equipped with an Orca Fusion BT digital CMOS camera (Hamamatsu). 414
Fluorescence images were collected using a Prior Lumen 200 metal halide light source and a 415
YFP-specific filter set (Chroma) with identical exposure times and laser intensity. Image analysis 416
was performed with the Fiji software. 417
418
Root attachment assays 419
Hairy roots were excised into segments and placed in wells of a 48-well plate with 0.5× MS 420
medium (pH 5.8) supplemented with 3% sucrose and 20 mM succinate conditioned by roots for 421
24 h. Wells were inoculated with the indicated strains at OD 600 0.02. Plates were incubated at 422
25 °C with shaking at 75 rpm. To qualitatively assess bacterial root attachment, roots were 423
washed three times within the plate wells and imaged for fluorescence using the Invitrogen™ 424
iBright™ CL1500 Imaging System (Excitation: 455-485 nm, emission: 508-557 nm). To 425
quantitatively assess root attachment, roots were transferred to microcentrifuge tubes containing 426
1 mL of 0.5× MS medium. Root-associated bacteria were detached by vortexing for 1 min, and 427
the resulting suspensions were serially diluted and plated on LB agar for CFU enumeration, or 428
had their fluorescence measured using a BioTek Synergy H1 microplate reader (mVenus; 429
Excitation: 500 nm, emission: 540 nm). 430
431
Bacterial growth curve measurement 432
Overnight cultures were grown overnight in LB medium at 30 °C and adjusted to OD 600 0.02 in 433
indicated media. 200 µL aliquots were dispensed into 96-well plates, with five technical replicates 434
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19
per strain. Plates were incubated at 30 °C with shaking in a BioTek Synergy H1 microplate 435
reader, and OD600 was recorded at 30-min intervals for the duration of the experiment. 436
437
Data availability: The sequence data used to map the barcoded Tn- Himar library and the 438
barcoded amplicon sequences collected after passaging in plant roots have been deposited in 439
the NCBI Sequence Read Archive (SRA) under the PRJNA1440512 project accession number. 440
Strains, plasmids, and details of their construction are available upon request. 441
442
Methods
Microbiol 53:3–48. 486
14. Liu Z, Beskrovnaya P, Melnyk RA, Hossain SS, Khorasani S, O’Sullivan LR, Wiesmann 487
CL, Bush J, Richard JD, Haney CH. 2018. A genome-wide screen identifies genes in 488
rhizosphere-associated Pseudomonas required to evade plant defenses. mBio 489
9:10.1128/mbio.00433-18. 490
15. Torres M, Jiquel A, Jeanne E, Naquin D, Dessaux Y, Faure D. 2022. Agrobacterium 491
tumefaciens fitness genes involved in the colonization of plant tumors and roots. New 492
Phytologist 233:905–918. 493
16. do Amaral FP, Tuleski TR, Pankievicz VCS, Melnyk RA, Arkin AP, Griffitts J, Tadra-Sfeir 494
MZ, Maltempi de Souza E, Deutschbauer A, Monteiro RA, Stacey G. 2020. Diverse 495
bacterial genes modulate plant root association by beneficial bacteria. mBio 496
11:10.1128/mbio.03078-20. 497
17. Cole BJ, Feltcher ME, Waters RJ, Wetmore KM, Mucyn TS, Ryan EM, Wang G, Ul-Hasan 498
S, McDonald M, Yoshikuni Y, Malmstrom RR, Deutschbauer AM, Dangl JL, Visel A. 2017. 499
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
22
Genome-wide identification of bacterial plant colonization genes. PLOS Biology 500
15:e2002860. 501
18. Knights HE, Ramachandran VK, Jorrin B, Ledermann R, Parsons JD, Aroney STN, Poole 502
PS. 2024. Rhizobium determinants of rhizosphere persistence and root colonization. 503
ISME J 18:wrae072. 504
19. Torres M, Price MN, Khasanova A, Kosina SM, Zhalnina K, Northen TR, Deutschbauer 505
AM. 2025. Bacterial fitness for plant colonization is influenced by plant growth substrate. 506
New Phytologist 248:3168–3190. 507
20. Sivakumar R, Ranjani J, Vishnu US, Jayashree S, Lozano GL, Miles J, Broderick NA, 508
Guan C, Gunasekaran P, Handelsman J, Rajendhran J. 2019. Evaluation of INSeq to 509
identify genes essential for Pseudomonas aeruginosa PGPR2 corn root colonization. G3 510
Genes|Genomes|Genetics 9:651–661. 511
21. Ghaly TM, Fabian BK, Vick SHW, Foster C, Asher AJ, Hassan KA, Elbourne LDH, 512
Paulsen IT, Tetu SG. 2025. Genetic drivers of plant root colonisation by the biocontrol 513
agent Pseudomonas protegens Pf-5. Environmental Microbiology Reports 17:e70179. 514
22. Cheng X, Etalo DW, van de Mortel JE, Dekkers E, Nguyen L, Medema MH, Raaijmakers 515
JM. 2017. Genome-wide analysis of bacterial determinants of plant growth promotion and 516
induced systemic resistance by Pseudomonas fluorescens. Environmental Microbiology 517
19:4638–4656. 518
23. Pranav PS, Sivakumar R, Suvekbala V, Rajendhran J. 2024. Genome-wide identification 519
of root colonization fitness genes in plant growth promoting Pseudomonas asiatica 520
employing transposon-insertion sequencing. Ann Microbiol 74:40. 521
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
23
24. Taylor TB, Silby MW, Jackson RW. 2025. Pseudomonas fluorescens. Trends in 522
Microbiology 33:250–251. 523
25. Zboralski A, Filion M. 2020. Genetic factors involved in rhizosphere colonization by 524
phytobeneficial Pseudomonas spp. Computational and Structural Biotechnology Journal 525
18:3539–3554. 526
26. Krell T, Matilla MA. 2024. Pseudomonas aeruginosa. Trends in Microbiology 32:216–218. 527
27. Collins AJ, Smith TJ, Sondermann H, O’Toole GA. 2020. From input to output: The Lap/c-528
di-GMP biofilm regulatory circuit. Annual Review of Microbiology 74:607–631. 529
28. Loper JE, Kobayashi DY, Paulsen IT. 2007. The genomic sequence of Pseudomonas 530
fluorescens Pf-5: Insights into biological control. Phytopathology® 97:233–238. 531
29. Paulsen IT, Press CM, Ravel J, Kobayashi DY, Myers GSA, Mavrodi DV, DeBoy RT, 532
Seshadri R, Ren Q, Madupu R, Dodson RJ, Durkin AS, Brinkac LM, Daugherty SC, 533
Sullivan SA, Rosovitz MJ, Gwinn ML, Zhou L, Schneider DJ, Cartinhour SW, Nelson WC, 534
Weidman J, Watkins K, Tran K, Khouri H, Pierson EA, Pierson LS, Thomashow LS, Loper 535
JE. 2005. Complete genome sequence of the plant commensal Pseudomonas 536
fluorescens Pf-5. Nat Biotechnol 23:873–878. 537
30. Jing X, Cui Q, Li X, Yin J, Ravichandran V, Pan D, Fu J, Tu Q, Wang H, Bian X, Zhang Y. 538
2020. Engineering Pseudomonas protegens Pf-5 to improve its antifungal activity and 539
nitrogen fixation. Microbial Biotechnology 13:118–133. 540
31. Ghaly TM, Fabian BK, Vick SHW, Foster C, Asher AJ, Hassan KA, Elbourne LDH, 541
Paulsen IT, Tetu SG. 2025. Genetic drivers of plant root colonisation by the biocontrol 542
agent Pseudomonas protegens Pf-5. Environmental Microbiology Reports 17:e70179. 543
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
24
32. Zhao Q, Wang R, Song Y, Lu J, Zhou B, Song F, Zhang L, Huang Q, Gong J, Lei J, Dong 544
S, Gu Q, Borriss R, Gao X, Wu H. 2024. Pyoluteorin-deficient Pseudomonas protegens 545
improves cooperation with Bacillus velezensis, biofilm formation, co-colonizing, and 546
reshapes rhizosphere microbiome. npj Biofilms Microbiomes 10:145. 547
33. Kamilova F, Kravchenko LV, Shaposhnikov AI, Makarova N, Lugtenberg B. 2006. Effects 548
of the tomato pathogen Fusarium oxysporum f. sp. radicis-lycopersici and of the biocontrol 549
bacterium Pseudomonas fluorescens WCS365 on the composition of organic acids and 550
sugars in tomato root exudate. MPMI 19:1121–1126. 551
34. Wetmore KM, Price MN, Waters RJ, Lamson JS, He J, Hoover CA, Blow MJ, Bristow J, 552
Butland G, Arkin AP, Deutschbauer A. 2015. Rapid quantification of mutant fitness in 553
diverse bacteria by sequencing randomly bar-coded transposons. mBio 6:e00306-15–15. 554
35. Niehaus TD, Elbadawi-Sidhu M, Crécy-Lagard V de, Fiehn O, Hanson AD. 2017. 555
Discovery of a widespread prokaryotic 5-oxoprolinase that was hiding in plain sight. 556
Journal of Biological Chemistry 292:16360–16367. 557
36. Laventie B-J, Jenal U. 2020. Surface Sensing and adaptation in bacteria. Annual Review 558
of Microbiology 74:735–760. 559
37. Song H, Li Y, Wang Y. 2023. Two-component system GacS/GacA, a global response 560
regulator of bacterial physiological behaviors. Engineering Microbiology 3:100051. 561
38. Dufrêne YF, Persat A. 2020. Mechanomicrobiology: how bacteria sense and respond to 562
forces. Nat Rev Microbiol 18:227–240. 563
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
25
39. Kaczmarczyk A, Van Vliet S, Jakob RP, Teixeira RD, Scheidat I, Reinders A, Klotz A, 564
Maier T, Jenal U. 2024. A genetically encoded biosensor to monitor dynamic changes of 565
c-di-GMP with high temporal resolution. Nat Commun 15:3920. 566
40. Kay E, Dubuis C, Haas D. 2005. Three small RNAs jointly ensure secondary metabolism 567
and biocontrol in Pseudomonas fluorescens CHA0. Proceedings of the National Academy 568
of Sciences 102:17136–17141. 569
41. Zha D, Xu L, Zhang H, Yan Y. 2014. The two-component GacS-GacA system activates 570
lipA translation by RsmE but Not RsmA in Pseudomonas protegens Pf-5. Applied and 571
Environmental Microbiology 80:6627–6637. 572
42. Pijper A. 1947. Methylcellulose and bacterial motility. J Bacteriol 53:257–269. 573
43. Joller C, Waelchli J, Schlaepfer J, Schlaeppi K. 2026. Paralleled dynamics of Arabidopsis 574
root exudation and syncom assembly in a controlled environment. bioRxiv 575
https://doi.org/10.64898/2026.01.29.702624. 576
44. McLaughlin S, Zhalnina K, Kosina S, Northen TR, Sasse J. 2023. The core metabolome 577
and root exudation dynamics of three phylogenetically distinct plant species. Nat Commun 578
14:1649. 579
45. Lozano GL, Bravo JI, Garavito Diago MF, Park HB, Hurley A, Peterson SB, Stabb EV, 580
Crawford JM, Broderick NA, Handelsman J. 2019. Introducing THOR, a model 581
microbiome for genetic dissection of community behavior. mBio 10: pp.10-1128. 582
46. Cole BJ, Feltcher ME, Waters RJ, Wetmore KM, Mucyn TS, Ryan EM, Wang G, Ul-Hasan 583
S, McDonald M, Yoshikuni Y, Malmstrom RR, Deutschbauer AM, Dangl JL, Visel A. 2017. 584
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
26
Genome-wide identification of bacterial plant colonization genes. PLOS Biology 585
15:e2002860. 586
47. Wallner A, Busset N, Lachat J, Guigard L, King E, Rimbault I, Mergaert P, Béna G, Moulin 587
L. 2022. Differential genetic strategies of Burkholderia vietnamiensis and 588
Paraburkholderia kururiensis for root colonization of Oryza sativa subsp. japonica and O. 589
sativa subsp. indica, as revealed by transposon mutagenesis sequencing. Applied and 590
Environmental Microbiology 88:e00642-22. 591
48. López-Sánchez A, Leal-Morales A, Jiménez-Díaz L, Platero AI, Bardallo-Pérez J, Díaz-592
Romero A, Acemel RD, Illán JM, Jiménez-López J, Govantes F. 2016. Biofilm formation-593
defective mutants in Pseudomonas putida. FEMS Microbiol Lett 363:fnw127. 594
49. Zhang L, Shi Y, Wu Z, Tan G. 2018. Characterization of response regulator GacA 595
involved in phaseolotoxin production, hypersensitive response and cellular processes in 596
Pseudomonas syringae pv. actinidiae A18. Physiological and Molecular Plant Pathology 597
103:137–142. 598
50. Takeuchi K. 2018. GABA, A primary metabolite controlled by the Gac/Rsm regulatory 599
pathway, favors a planktonic over a biofilm lifestyle in Pseudomonas protegens CHA0. 600
MPMI 31:274–282. 601
51. Marutani M, Taguchi F, Ogawa Y, Hossain MdM, Inagaki Y, Toyoda K, Shiraishi T, 602
Ichinose Y. 2008. Gac two-component system in Pseudomonas syringae pv. tabaci is 603
required for virulence but not for hypersensitive reaction. Mol Genet Genomics 279:313–604
322. 605
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
27
52. Kidarsa TA, Shaffer BT, Goebel NC, Roberts DP, Buyer JS, Johnson A, Kobayashi DY, 606
Zabriskie TM, Paulsen I, Loper JE. 2013. Genes expressed by the biological control 607
bacterium Pseudomonas protegens Pf-5 on seed surfaces under the control of the global 608
regulators GacA and RpoS. Environmental Microbiology 15:716–735. 609
53. Lalaouna D, Fochesato S, Sanchez L, Schmitt-Kopplin P, Haas D, Heulin T, Achouak W. 610
2012. Phenotypic switching in Pseudomonas brassicacearum involves GacS- and GacA-611
dependent Rsm Small RNAs. Applied and Environmental Microbiology 78:1658–1665. 612
54. Martínez-Gil M, Ramos-González MI, Espinosa-Urgel M. 2014. Roles of cyclic di-GMP 613
and the Gac system in transcriptional control of the genes coding for the Pseudomonas 614
putida adhesins LapA and LapF. J Bacteriol 196:1484–1495. 615
55. Driscoll WW, Pepper JW, Pierson LS, Pierson EA. 2011. Spontaneous Gac Mutants of 616
Pseudomonas Biological Control Strains: Cheaters or Mutualists? Applied and 617
Environmental Microbiology 77:7227–7235. 618
56. Cheng X, de Bruijn I, van der Voort M, Loper JE, Raaijmakers JM. 2013. The Gac regulon 619
of Pseudomonas fluorescens SBW25. Environmental Microbiology Reports 5:608–619. 620
57. Luo Y, Srinivas A, Guidry C, Bull C, Haney CH, Hamilton C. 2025. GacA regulates 621
symbiosis and mediates lifestyle transitions in Pseudomonas. mSphere 10:e00277-25. 622
58. Kim JS, Kim YH, Park JY, Anderson AJ, Kim YC. 2014. The global regulator GacS 623
regulates biofilm formation in Pseudomonas chlororaphis O6 differently with carbon 624
source. Can J Microbiol 60:133–138. 625
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
28
59. Li J, Yang Y, Dubern J-F, Li H, Halliday N, Chernin L, Gao K, Cámara M, Liu X. 2015. 626
Regulation of GacA in Pseudomonas chlororaphis strains shows a niche specificity. PLOS 627
ONE 10:e0137553. 628
60. Natsch A, Keel C, Pfirter HA, Haas D, Défago G. 1994. Contribution of the global 629
regulator gene gacA to persistence and dissemination of Pseudomonas fluorescens 630
biocontrol strain CHA0 introduced into soil microcosms. Applied and Environmental 631
Microbiology 60:2553–2560. 632
61. Zuber S, Carruthers F, Keel C, Mattart A, Blumer C, Pessi G, Gigot-Bonnefoy C, 633
Schnider-Keel U, Heeb S, Reimmann C, Haas D. 2003. GacS sensor domains pertinent 634
to the regulation of exoproduct formation and to the biocontrol potential of Pseudomonas 635
fluorescens CHA0. MPMI 16:634–644. 636
62. Kim JS, Kim YH, Park JY, Anderson AJ, Kim YC. 2014. The global regulator GacS 637
regulates biofilm formation in Pseudomonas chlororaphis O6 differently with carbon 638
source. Can J Microbiol 60:133–138. 639
63. Song C, Kidarsa TA, van de Mortel JE, Loper JE, Raaijmakers JM. 2016. Living on the 640
edge: Emergence of spontaneous gac mutations in Pseudomonas protegens during 641
swarming motility. Environmental Microbiology 18:3453–3465. 642
64. Li E, Zhang H, Jiang H, Pieterse CMJ, Jousset A, Bakker PAHM, de Jonge R. 2021. 643
Experimental-evolution-driven identification of Arabidopsis rhizosphere competence 644
genes in Pseudomonas protegens. mBio 12:10.1128/mbio.00927-21. 645
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
29
65. Martínez-Granero F, Rivilla R, Martín M. 2006. Rhizosphere selection of highly motile 646
phenotypic variants of Pseudomonas fluorescens with enhanced competitive colonization 647
ability. Applied and Environmental Microbiology 72:3429–3434. 648
66. Chancey ST, Wood DW, Pierson EA, Pierson LS. 2002. Survival of GacS/GacA mutants 649
of the biological control bacterium Pseudomonas aureofaciens 30-84 in the wheat 650
rhizosphere. Applied and Environmental Microbiology 68:3308–3314. 651
67. Ishizawa H, Kuroda M, Inoue D, Ike M. 2022. Genome-wide identification of bacterial 652
colonization and fitness determinants on the floating macrophyte, duckweed. Commun 653
Biol 5:68. 654
68. Li J, Zhang Y, Jiang W, Zhang L-Q. 2025. Experimental evolution of plant rhizobacteria 655
reveals emerging adaptive mutations. mBio 16:e01023-25. 656
69. O’Banion BS, Jones P, Demetros AA, Kelley BR, Knoor LH, Wagner AS, Chen J-G, 657
Muchero W, Reynolds TB, Jacobson D, Lebeis SL. 2023. Plant myo-inositol transport 658
influences bacterial colonization phenotypes. Current Biology 33:3111-3124.e5. 659
70. Schultz D, Wolynes PG, Jacob EB, Onuchic JN. 2009. Deciding fate in adverse times: 660
Sporulation and competence in Bacillus subtilis. Proceedings of the National Academy of 661
Sciences 106:21027–21034. 662
71. O'Malley MR, Dearing HN, Zheng X, Kretschmer AN, Cho TH, Raivio TL, Parsek MR. 663
2026. The Pseudomonas aeruginosa Cpx system provides a cyclic-di-GMP independent 664
link between cell envelope stress and surface sensing. mBio 17.1: e02726-25. 665
72. Mao M, He L, Yan Q. 2025. An updated overview on the bacterial PhoP/PhoQ two-666
component signal transduction system. Front Cell Infect Microbiol 15:1509037. 667
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
30
73. Ali-Ahmad A, Fadel F, Sebban-Kreuzer C, Ba M, Pélissier GD, Bornet O, Guerlesquin F, 668
Bourne Y, Bordi C, Vincent F. 2017. Structural and functional insights into the periplasmic 669
detector domain of the GacS histidine kinase controlling biofilm formation in 670
Pseudomonas aeruginosa. Sci Rep 7:11262. 671
74. Liang F, Zhang B, Yang Q, Zhang Y, Zheng D, Zhang L, Yan Q, Wu X. 2020. Cyclic-di-672
GMP Regulates the Quorum-Sensing System and Biocontrol Activity of Pseudomonas 673
fluorescens 2P24 through the RsmA and RsmE Proteins. Applied and Environmental 674
Microbiology 86:e02016-20. 675
75. Zhang Y, Zhang B, Wu H, Wu X, Yan Q, Zhang L-Q. 2020. Pleiotropic effects of RsmA 676
and RsmE proteins in Pseudomonas fluorescens 2P24. BMC Microbiol 20:191. 677
76. Collins AJ, Pastora AB, Smith TJ, O’Toole GA. 2020. MapA, a Second Large RTX 678
adhesin conserved across the Pseudomonads, contributes to biofilm formation by 679
Pseudomonas fluorescens. J Bacteriol 202:10.1128/jb.00277-20. 680
77. Pastora AB, O’Toole GA. The regulator FleQ both transcriptionally and post-681
transcriptionally regulates the level of RTX adhesins of Pseudomonas fluorescens. J 682
Bacteriol 205:e00152-23. 683
78. Martínez-Granero F, Navazo A, Barahona E, Redondo-Nieto M, Rivilla R, Martín M. 2012. 684
The Gac-Rsm and SadB signal transduction pathways converge on AlgU to downregulate 685
motility in Pseudomonas fluorescens. PLOS ONE 7:e31765. 686
79. Brinkley DM, Bertolli SK, Gallagher LA, Tan Y, Silva MM de, Brockman A, Zhang D, 687
Peterson SB, Mougous JD. 2025. Pseudomonads coordinate innate defense against 688
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted April 12, 2026. ; https://doi.org/10.64898/2026.04.10.717875doi: bioRxiv preprint
31
viruses and bacteria with a single regulatory system. Cell Host & Microbe 33:1333-689
1346.e7. 690
80. Liu C, Shi R, Jensen MS, Zhu J, Liu J, Liu X, Sun D, Liu W. 2024. The global regulation of 691
c-di-GMP and cAMP in bacteria. mLife 3:42–56. 692
81. Azarbad H, Junker RR. 2024. Biological and experimental factors that define the 693
effectiveness of microbial inoculation on plant traits: a meta-analysis. ISME Commun 694
4:ycae122. 695
82. Lopes MJ dos S, Dias-Filho MB, Gurgel ESC. 2021. Successful plant growth-promoting 696
microbes: Inoculation methods and abiotic factors. Front Sustain Food Syst 5. 697
83. Gheorghita AA, Wolfram F, Whitfield GB, Jacobs HM, Pfoh R, Wong SSY, Guitor AK, 698
Goodyear MC, Berezuk AM, Khursigara CM, Parsek MR, Howell PL. 2022. The 699
Pseudomonas aeruginosa homeostasis enzyme AlgL clears the periplasmic space of 700
accumulated alginate during polymer biosynthesis. Journal of Biological Chemistry 298. 701
84. Wang Z, Xiong G, Lutz F. 1995. Site-specific integration of the phage ΦCTX genome into 702
the Pseudomonas aeruginosa chromosome: characterization of the functional integrase 703
gene located close to and upstream of attP. Molec Gen Genet 246:72–79. 704
85. Morcillo RJL, Zhao A, Tamayo-Navarrete MI, García-Garrido JM, Macho AP. 2020. 705
Tomato root transformation followed by inoculation with Ralstonia Solanacearum for 706
straightforward genetic analysis of bacterial wilt disease. JoVE 60302. 707
86. Hershey DM, Fiebig A, Crosson S. 2021. Flagellar perturbations activate adhesion 708
through two distinct pathways in Caulobacter crescentus. mBio 12:e03266-20. 709
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
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Figures and Tables 710
711
Figure 1. Bacterial attachment to root surfaces 712
Roots release a mixture of exudates into the surrounding soil, generating a concentration 713
gradient that is highest near the root surface (illustrated as a pink gradient). Rhizosphere bacteria 714
actively move toward roots based on the exudate gradient, attach to the root surface via secreted 715
adhesins, and subsequently form a biofilm. 716
717
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33
718
Figure 2. Establishing an in vitro root tissue culture system to study root colonization 719
(A) Seedlings grown under sterile tissue culture conditions were inoculated with Agrobacterium 720
at an incision at the base of the hypocotyl to generate hairy roots. (B) Excised root tissue 721
transferred to liquid medium and propagated in shaking culture, resulting in root biomass suitable 722
for downstream colonization assays. C and D, Root tissue placed in plate wells was inoculated 723
with a bacterial suspension of mVenus-tagged Pf-5 wild-type or Δ lapA. Root colonization was 724
evaluated by measuring fluorescence from roots (C) or quantified by recovering the root-725
attached bacterial fraction and measuring its emitted fluorescence (D). Bold lines within each 726
box represent median values. Top and bottom sides of the boxes represent the third and first 727
quartiles of the value distribution, respectively. Lines extending from the boxes denote the 728
extreme values within 1.5 times the interquartile range. Statistical significance was determined 729
by a pairwise t-test. Asterisks indicate P < 0.001. Data are pooled from three independent 730
experiments. 731
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34
732
Figure 3. A genome-wide screen identifies genetic determinants for root attachment 733
(A) A pooled transposon mutant library carrying mutants impaired in root association (red) was 734
inoculated into flasks containing hairy roots. After incubation, the unattached (planktonic) fraction 735
was collected and serially passaged into fresh root-containing flasks for five rounds. The 736
resulting population is enriched for adhesion-defective mutants and sequenced. (B) Fitness 737
trajectories for the 15 most hypo- and 15 most hyper-adhesive mutants identified in the root 738
passaging Tn-Seq screen. Lines connect fitness scores for each gene across passages 0-5. 739
Positive fitness scores indicate mutants that increased in abundance in the unattached (media) 740
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35
fraction, consistent with reduced root adhesion, whereas negative scores reflect depletion from 741
the media and therefore enhanced adhesion to roots. Genes highlighted in purple represent the 742
gacS and gacA genes, orange denotes flagellar assembly-associated genes, and gray indicates 743
genes outside these categories. (C) Root colonization phenotypes for in-frame deletion mutants 744
of genes identified in the screen. Root colonization was quantified by recovering the root-745
attached fraction of cells and measuring its emitted fluorescence. Bold lines within each box 746
represent median values. Top and bottom sides of the boxes represent the third and first 747
quartiles of the value distribution, respectively. Lines extending from the boxes denote the 748
extreme values within 1.5 times the interquartile range. Statistical significance was determined 749
by a pairwise t-test between wild-type and each strain. Asterisks indicate P < 0.001, “ns” no 750
significant difference. Data are pooled from three independent experiments. 751
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36
752
Figure 4. Flagellar-dependent surface sensing activates the gac system 753
(A) Root colonization efficiencies of key mutants. Top and bottom sides of the boxes represent 754
the third and first quartiles of the value distribution, respectively. Lines extending from the boxes 755
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37
denote the extreme values within 1.5 times the interquartile range. Data are pooled from three 756
independent replicates. (B) Intracellular c-di-GMP levels of strains from panel A. Reporter values 757
were normalized to wild type. (C) Overview of the gac signaling system in Pseudomonads. GacS 758
activates the response regulator GacA, which in turn directly induces expression of the small 759
RNAs rsmX, rsmY, and rsmZ. In D-G, the effect of surface sensing on gac activity was evaluated 760
via PrsmY expression by increasing medium viscosity with methyl cellulose (MC) (D), disrupting 761
flagellar assembly (fliF) (E), or comparing planktonic and surface-attached cells (F and G). In 762
F, scale bars represent 5 μm. In B, D, and E, a representative replicate of three individual 763
experiments is shown. Data are means ± SD. In all panels letters represent statistical 764
significance determined by one-way ANOVA and Tukey's posthoc test (P < 0.05). 765
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
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38
766
Figure 5. The gac system integrates physical and chemical cues to control surface 767
attachment 768
(A) Crystal violet (CV)-based adhesion assay evaluating attachment to an abiotic surface. (B) 769
gac system activity quantified using a fluorescent reporter for rsmY evaluating the effect of 770
conditioning time of media by roots on gac system activity. (C–E) Integration of chemical and 771
mechanical inputs by the gac system. Indicated strains were analyzed under conditions 772
providing mechanical input alone (ΔfliF), chemical input alone (root-conditioned media), or both 773
inputs combined. (C) gac system activity quantified via the rsmY fluorescent reporter. (E) 774
Intracellular c-di-GMP levels. (F) CV-based adhesion assay. gac system activity levels, c-di-775
GMP levels, and adhesion were normalized to wild-type in unconditioned (Fresh) media. A 776
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39
representative replicate of three independent experiments is shown. Data represent means ± 777
SD. In all panels, different letters indicate statistically significant differences determined by one-778
way ANOVA with Tukey’s post hoc test ( P < 0.05). In panel B, asterisks indicate statistically 779
significant differences determined by pairwise t-tests comparing each time point to the preceding 780
time point within the same strain. 781
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40
782
Figure 6. Activating flagellar surface sensing enhances competitive root colonization 783
(A) Root colonization phenotypes in the presence of a synthetic bacterial community. Root 784
colonization was quantified by recovering the root-attached fraction of cells and measuring its 785
emitted fluorescence. Bold lines within each box represent median values. Top and bottom sides 786
of the boxes represent the third and first quartiles of the value distribution, respectively. Lines 787
extending from the boxes denote the extreme values within 1.5 times the interquartile range. 788
Data are pooled from three independent replicates. (B) The gac system additively integrates 789
physical and chemical cues to coordinately enhance adhesion and reduce motility through c-di-790
GMP, while simultaneously activating competitive traits, together enabling effective root 791
attachment. 792
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41
Table 1: Top 15 protein-encoding hits enriched in the non-root-associated fraction 793
(reduced attachment). 794
Gene Locus ID Gene annotation
Area under
curve
gacS PFL_4451 Sensor protein GacS 19.20
gacA PFL_3563 Response regulator GacA 18.13
PFL_2828 LysR family transcriptional regulator 8.27
PFL_4192 ABC transporter substrate-binding protein 7.27
adrA PFL_4532 Diguanylate cyclase 6.58
PFL_0502 DeoR family transcriptional regulator 6.58
pxpB PFL_1514 Allophanate hydrolase subunit 1 5.84
PFL_1588 AraC family transcriptional regulator 5.61
pxpA PFL_1513 LamB/YcsF family protein 5.48
pxpC PFL_1515 Allophanate hydrolase subunit 2 5.35
PFL_5687 Acyl-CoA dehydrogenase 5.13
PFL_1740 TonB-dependent outermembrane receptor 5.13
PFL_5779
response regulator/sensory box/GGDEF
domain/EAL domain-containing protein 5.07
pycA PFL_6157 Pyruvate carboxylase subunit B 4.79
PFL_2692 Hypothetical protein 4.61
795
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42
Table 2: Top 15 protein encoding hits depleted from the non-root-associated fraction 796
(enhanced attachment). 797
Gene Locus ID Gene annotation
Area under
curve
fleE PFL_1637 Flagellar hook-basal body complex protein FliE 11.63
cheA PFL_1670 Chemotaxis protein CheA 10.58
PFL_2045 Amino acid aminotransferase 9.93
fliF PFL_1638 Flagellar basal-body MS-ring/collar protein FliF 9.81
flgF PFL_1613 Flagellar basal-body rod protein FlgF 9.74
fliI PFL_1641 Flagellar protein export ATPase FliI 9.64
fliG PFL_1639 Flagellar motor switch protein FliG 9.53
fliA PFL_1667 RNA polymerase sigma factor FliA 9.43
flgE PFL_4477 Flagellar hook protein FlgE 9.43
fliK PFL_1646 Flagellar hook-length control protein FliK 9.42
flgG PFL_1614 Flagellar basal-body rod protein FlgG 9.39
flgC PFL_4479 Flagellar basal body rod protein FlgC 9.16
cheY PFL_1668 Chemotaxis response regulator CheY 9.13
fleR PFL_1636 Sigma-54 dependent transcriptional regulator 9.11
PFL_1752 HAMP domain-containing sensor histidine kinase 8.85
798
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