Abstract
Overproduction of indole-3-acetic acid (IAA) by rhizosphere bacteria disrupts auxin
homeostasis and induces root growth inhibition (RGI) in plants. Bacteria from the genus
Variovorax mitigate this effect by degrading IAA, and in our prior work we identified the
iad locus as being required for this activity. Here, we refine our understanding of the iad
pathway using bacterial genetics, metabolomics, and isotope tracing to assign roles to
individual Iad pathway enzymes and show that IadDE, though resembling a Rieske
dioxygenase, functions instead as a monooxygenase that initiates catabolism via a
novel intermediate. Guided by these insights, we installed chromosomal iad cassettes
into root-associated commensals ( Polaromonas MF047 and Paraburkholderia MF376),
creating the first engineered bacteria that reprogram rhizosphere auxin homeostasis in
microbially complex environments to benefit the plant. In natural soil, engineered
Paraburkholderia enhanced plant biomass, and co mmunity profiling revealed no
significant differences in microbiome composition between engineered and wild type
treatments, supporting that auxin degradation conferred plant benefit without broader
disruption of the rhizosphere community. Together, this work refines the pathway logic
of microbial auxin degradation and demonstrates that commensals can be rationally
engineered to deliver auxin-balancing functions in complex rhizosphere microbiomes.
More broadly, it provides a framework for leveraging mechanistic insight to engineer
plant-associated commensals that enhance plant growth, laying the foundation for
deployment in agricultural settings.
Introduction
Plant roots develop within a complex and densely populated microbial environment,
where interactions with soil and rhizosphere microbes strongly influence root
architecture and function
1,2. A central regulator of root development is auxin, a group of
signaling molecules that function as plant hormones but are also synthesized by
bacteria, fungi, and animals
3. Among them, indole-3-acetic acid (IAA) is the
predominant and most indispensable auxin 4. While plants maintain auxin homeostasis
through biosynthesis, transport, conjugation, and degradation, many rhizosphere
.CC-BY 4.0 International licenseavailable 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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
3
microbes also synthesize IAA. In microbial contexts, IAA contributes to bacterial
physiology, stress adaptation, and microbe–microbe communication 3. However, in
plants, microbial IAA production can disrupt auxin homeostasis and lead to root growth
inhibition (RGI)
5. Genomic surveys indicate that over 80% of soil- and plant-associated
bacterial genomes harbor complete or partial IAA biosynthetic pathways 6,7,
underscoring the widespread microbial influence on plant hormone dynamics.
Like a natural counterbalance, certain rhizosphere bacteria can mitigate RGI by
degrading IAA. Two major types of auxin-degrading pathways have been identified in
soil- or plant-associated bacteria: the iad-like and iac-like pathways
8,9. The iad-like (IAA
degradation) pathway, found in genera such as Variovorax, Alcaligenes, Achromobacter
and Bradyrhizobium , converts IAA into anthranilic acid 5,9. In contrast, the iac-like
(indole-3-acetic acid catabolism) pathway, originally described in Pseudomonas putida
1290, degrades IAA into catechol 10,11. Compared to the iac-like pathway, the iad-like
pathway is more effective in reversing RGI induced by root-associated bacteria 9. For
example, Variovorax strains carrying the iad pathway fully restored root growth in
Arabidopsis thaliana seedlings exposed to a 175-member RGI-inducing synthetic
community, whereas iac-containing strains failed to do so9.
Despite its critical role, the molecular mechanisms underlying iad-mediated IAA
degradation remain incomplete. The iad locus is known to be regulated by two MarR-
family transcription factors, MarR73 and MarR50, with MarR73 serving as the primary
repressor
9. The first catalytic module, comprising IadDE (annotated as a Rieske non-
heme dioxygenase) and the associated reductase IadC, is postulated to form a two-
component dioxygenase system that facilitates electron transfer and enhances catalytic
efficiency
9,12.
Previous studies have demonstrated the feasibility of engineering IAA-degrading activity
by introducing iad genes into heterologous hosts 5,9,12. Plasmid-based expression of the
iad locus in the root-associated isolate Acidovorax Root219 conferred IAA-degrading
activity in vitro and promoted primary root elongation under exogenous IAA treatment 5.
However, this Acidovorax Root219 strain failed to fully reverse RGI caused by the
auxin-producing Arthrobacter CL028, let alone more complex auxin-producing bacterial
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
4
communities5. Additional knowledge of the contribution of iad-mediated auxin
degradation to microbiome structure and mechanistic understanding of the genetics and
biochemistry of the iad pathway would facilitate rational engineering of the iad locus into
other strains. These past findings further suggest the best chassis strains would
possess traits such as plant colonization capacity, competitiveness in the rhizosphere,
and ecological stability as well as be genetically tractable for chromosomal genetic
manipulation. Investigating new strains engineered with the iad pathway will lay the
groundwork for future applications of the iad pathway and delivery of robust auxin
homeostasis phenotypes in agricultural and ecological settings.
Here, we systematically dissect the iad-mediated IAA degradation pathway in V.
paradoxus CL014 using a combination of genetic, metabolomics, and isotope tracing.
We identify a nine-gene region ( iadCDEFGHIJK2) within the iad locus that is
responsible for IAA catabolism. V. paradoxus CL014 initiates IAA degradation through
an unreported two-step oxidative mechanism. In the first step, the IadCDE complex
functions as a monooxygenase that incorporates one oxygen atom from molecular
oxygen into IAA. Although IadCDE is structurally homologous to canonical dioxygenase
complexes, our metabolomic and isotopic analyses demonstrate that it functions as a
monooxygenase, revealing a striking divergence between structure and catalytic
mechanism. The second oxidative step is mediated by the dehydrogenase IadJ
following hydrolysis, leading to oxygen incorporated from water. Notably, we identify the
product of IadCDE to be an uncharacterized compound (C
₁₀ H₉ NO₃ ), rather than the
commonly known intermediate, 2-oxindole-3-acetic acid (oxIAA, C ₁₀ H₉ NO₃ ), which is
supportive of an epoxide-forming mechanism by IadCDE. To explore the broader
applicability of this pathway, we genomically integrated the iad pathway genes, under
control of the MarR73 regulator, into two additional root-associated bacteria,
Polaromonas MF047 and Paraburkholderia MF376, and evaluated their IAA-degrading
activity and ability to mitigate RGI in both simplified and complex bacterial community
treatments, using Arabidopsis thaliana and Medicago truncatula as host plants.
Engineered Paraburkholderia MF376 emerged as a promising chassis for agricultural
applications, as it effectively reversed RGI caused by strains that V. paradoxus CL014
did not fully counteract, enhanced Arabidopsis growth in natural soil over long-term
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
5
incubation, and exhibited robust colonization when introduced into new microbial
communities. These findings advance our understanding of microbial auxin metabolism
and its relevance to restoring rhizosphere auxin balance and enhancing plant growth.
Results
Identification of a nine-gene region within the iad locus responsible for IAA
degradation in Variovorax paradoxus CL014
Previous studies indicated that V. paradoxus CL014 degrades IAA through a pathway
similar to that of Bradyrhizobium japonicum, producing intermediates such as dioxindole,
isatin, isatinic acid, and anthranilic acid—an intermediate in tryptophan
biosynthesis
9,13,14. However, the specific genes responsible for each step remained
unidentified. The iad locus (Hot Spot 33, HS33), consisting of 25 genes (Fig. 1a), was
identified as responsible for IAA degradation via genomic deletion 5. To pinpoint key
genes, we cloned different segments of the iad locus into the broad-host vector pBBR1
and introduced them into an iad locus deletion mutant (Δ HS33) (Extended Data Fig. 1a).
Metabolomic analysis revealed that mutants carrying the iadC-K2 region restored the
level of intermediates and the final product, anthranilic acid, indicating that this nine-
gene region encodes the complete IAA degradation pathway (Fig.1a, Extended Data
Fig. 1b).
To identify specific substrates and products of iad genes, we performed liquid
chromatography in tandem with high-resolution mass spectrometry (LC-MS), focusing
on metabolites previously associated with IAA degradation in V. paradoxus CL014
9. We
reasoned that knocking out a gene downstream of a metabolite or overexpressing a
gene upstream would lead to metabolite accumulation or depletion, respectively.
Specifically, we created knockout mutants in the wild-type background and
overexpression mutants in the
Δ HS33 background (Fig. 1b, Extended Data Fig. 2).
Based on gene annotations and structural data, iadD and iadE encode the large and
small subunits of a Rieske non-heme dioxygenase, while iadC encodes a reductase,
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
6
forming a two-component dioxygenase system (Fig. 1k) 9,12. Accordingly, iadCDE was
treated as a single functional unit for mutant construction.
Our analysis revealed that deletion of iadCDE, iadF, iadG, iadH, iadI, or iadJ
significantly reduced anthranilic acid (C ₇ H₇ NO₂ ) production (Fig. 1c), confirming their
essential roles in IAA degradation. Complementation of the Δ HS33 mutant with the full
iadC–K2 gene region fully restored anthranilic acid levels (Fig. 1c). Notably, the
presence of iadCDE in these segments was able to rapidly degrade IAA. This confirms
that IadCDE directly uses IAA as its substrate and catalyzes the initial step of IAA
degradation (Fig. 1d, Extended Data Fig. 1c). We next examined metabolite
accumulation in the
Δ HS33::iadCDE strain and identified two compounds, C ₁₀ H₉ NO₃
and likely its hydration product C ₁₀ H₁₁ NO₄ , suggesting C ₁₀ H₉ NO₃ to be the product of
IadCDE (Fig. 1e, f). Interestingly, iadJ deficiency also led to the accumulation of
C₁₀ H₉ NO₃ and C ₁₀ H₁₁ NO₄ , indicating that IadJ likely consumes one of these
intermediates (Fig. 1e). Similarly, we found that C₁₀ H₉ NO₄ is depleted with iadJ deletion
while it accumulates in Δ HS33::iadCDEJK2, suggesting C ₁₀ H₉ NO₄ to be the product of
IadJ (Fig. 1g, h). Deletion of iadF, iadG, iadH and iadI all lead to C ₁₀ H₉ NO₄
accumulation, among which Δ iadF shows the strongest accumulation suggesting
functional proximity of IadF to IadCDEJ (Fig. 1g). Other projected intermediates were
not detected, thus IadFGHI likely carry out a chain of reactions, with most intermediates
quickly channeled through the enzymes. Therefore, we resorted to annotated enzyme
function to infer reactions carried out by these genes. Annotated as an acyl-CoA
synthase (AMP-forming), IadF likely activates the carboxylic group in the acetyl side
chain, enabling its subsequent removal by IadG, an acetyl-CoA acetyltransferase
(ketothiolase, EC 2.3.1.16) (Fig. 1k). This reaction yields CoA-bound intermediates that
are membrane-impermeable, ensuring their retention within bacterial cells and enabling
efficient recognition and processing
14. Meanwhile, IadH, annotated as an alcohol
dehydrogenase, likely facilitates further processing (Fig. 1k). Together, IadF, IadG, and
IadH mediate the reductive removal of the acetyl side chain (-C ₂ H₂ O₂ ), producing
C₈ H₇ NO₂ (Fig. 1i). Indeed, C ₈ H₇ NO₂ accumulates in Δ HS33::iadCDEFGH_JK2
expression strain as well as the iadI deletion strain (Fig. 1i), suggesting that IadI acts
downstream of C ₈ H₇ NO₂ . We also detected C ₇ H₇ NO and C ₈ H₇ NO₃ , which strongly
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
7
accumulate only in strains overexpressing the whole iadC-K2 gene locus, suggesting
that they are likely intermediates between the IadI product and the final product
anthranilic acid (C ₇ H₇ NO₂ ) (Fig. 1b, j). Although iadI is annotated as a kynurenine
formamidase, our MS/MS analysis confirmed that C ₈ H₇ NO₃ is not N-formylanthranilic
acid—the expected formylated derivative of anthranilic acid—indicating that IadI may
instead function as a broad-specificity amidase. Lastly, IadK2 was previously identified
as a highly IAA-specific ATP-binding cassette (ABC) transporter solute-binding protein
involved in IAA uptake
12. However, it is not essential, as Δ HS33::iadCDE was still
capable of taking up and utilizing IAA, suggesting alternative uptake mechanisms9.
In summary, we identified a nine-gene region (iadC-K2) within the iad locus responsible
for IAA degradation in V. paradoxus CL014 (Fig. 1a, Extended Data Fig. 1a, b). By
integrating metabolite abundance changes with gene functional annotations, we
assigned putative reaction steps to each gene and reconstructed the degradation
pathway (Fig. 1k). This pathway links specific functional genes to corresponding
intermediates, providing a framework for understanding IAA metabolism in this
microorganism.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
8
Fig. 1 | Metabolomic profiling of iad pathway mutants reveals substrates and
products of genes involved in IAA degradation in V. paradoxus CL014. a, Genomic
organization of Hot Spot 33 in V. paradoxus CL014. Gene annotations are shown above
as the final two digits of the IMG gene ID (26436136##) and below with assigned gene
names. The MarR-family transcriptional regulator marR73 is shown in red; the core
nine-gene IAA degradation locus is highlighted in yellow. b, Heatmap of Log ₂ fold
changes in metabolite abundance in iad pathway mutants relative to the wild type. Full
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
9
LC–MS profiles are provided in Extended Data Fig. 2. Data represent the mean of
n/i2 =/i2 3 biological replicates. c–j, Bar plots showing the relative abundance of anthranilic
acid ( c), IAA ( d), and key metabolic intermediates ( e–j) across wild-type and mutant
strains. Data represent mean ± s.e.m. (standard error of the mean) of n = 3 biological
replicates. k, Schematic representation of the iad-mediated IAA degradation pathway in
V. paradoxus CL014.
Isotope tracing reveals new intermediates and an unreported two-step oxidative
mechanism revising the iad-mediated IAA degradation pathway
Previously, IAA degradation via the iad pathway was proposed to proceed through
monooxygenation to generate 2-oxindole-3-acetic acid (oxIAA, C ₁₀ H₉ NO₃ ), followed by
conversion to dioxindole 9,12. Our metabolomic analysis, however, revealed two distinct
C₁₀ H₉ NO₃ peaks in wild-type extracts: a major peak at 4 min and a minor peak at 7 min
(Extended Data Fig. 3a). Using an oxIAA standard, we confirmed that the minor peak
corresponds to oxIAA (Extended Data Fig. 3a); however, this compound is not depleted
in the
Δ HS33 mutant, making it unlikely to be the product of IadCDE (Extended Data Fig.
3b-c). By contrast, the major C ₁₀ H₉ NO₃ peak is depleted in the Δ HS33 mutant and
accumulates in iadCDE overexpressing strains, indicating that it represents the product
of IadCDE (Extended Data Fig. 3b-d). These findings indicate that the observed
C₁₀ H₉ NO₃ is not oxIAA but rather a previously uncharacterized intermediate, suggesting
that IAA degradation in V. paradoxus CL014 proceeds via a mechanism distinct from
the canonical oxIAA pathway.
To elucidate the mechanism of IAA degradation, we performed isotope tracing and LC-
MS/MS analysis of both labeled and unlabeled pathway intermediates (Fig. 2, Extended
Data Fig. 3 and 4). Specifically, we employed uniformly deuterium-labeled IAA ([²H₇ ]IAA)
to monitor hydrogen rearrangements during catabolism, providing greater mechanistic
resolution than the previously used [¹³C
₆ ]IAA9. Tracing with [²H ₇ ]IAA revealed distinct
mass shifts in pathway intermediates relative to unlabeled controls, indicating the
number of retained deuterium atoms. The first intermediate, C
₁₀ H₉ NO₃ , retained all
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
10
seven deuterium atoms, suggesting no isotope loss during the initial oxidation step (Fig.
2a, Extended Data Fig. 4a, c). This observation is inconsistent with mechanisms
involving oxIAA or its enol form, 2-hydroxy-IAA
9,12, or a radical intermediate from
hydrogen atom abstraction15. Indeed, the minor C₁₀ H₉ NO₃ peak corresponding to oxIAA
retained only six deuterium atoms (Extended Data Fig. 3d). The subsequent
intermediate, C ₁₀ H₉ NO₄ , showed the loss of one deuterium, whereas all downstream
intermediates consistently retained four deuterium atoms on the aromatic ring (Fig. 2a,
Extended Data Fig. 4a, c).
To identify the source of oxygen in the formation of C ₁₀ H₉ NO₃ , C ₁₀ H₁₁ NO₄ , and
C₁₀ H₉ NO₄ , respectively, we performed ¹ /i2 O-labeled water (H ₂ ¹/i2 O) tracing in bacterial
culture (Fig. 2b, Extended Data Fig. 4b). The IadCDE monooxygenase complex uses
molecular oxygen (O₂ ) and therefore will not generate labeled product (C₁₀ H₉ NO₃ ) from
H₂ ¹/i2 O. On the contrary, the IadJ dehydrogenase mechanism leads to oxidized product
that can be labeled by H ₂ ¹/i2 O. The minor C ₁₀ H₉ NO₃ peak corresponding to oxIAA is
significantly labeled by H ₂ ¹/i2 O, further confirming oxIAA is not formed by IadCDE
(Extended Data Fig. 3e). In contrast, we detected no labeling in the major C ₁₀ H₉ NO₃
peak in iadCDE overexpressing strain, consistent with it being the product of IadCDE
(Fig. 2b). Meanwhile, both C ₁₀ H₁₁ NO₄ and C ₁₀ H₉ NO₄ incorporated ¹ /i2 O in the same
strains, supporting that C ₁₀ H₁₁ NO₄ is formed via hydration of C ₁₀ H₉ NO₃ in the cells,
and is further processed by IadJ to C ₁₀ H₉ NO₄ through a dehydrogenase mechanism
(Fig. 2b). Further MS/MS analysis of C ₁₀ H₉ NO₄ revealed that the incorporated ¹ /i2 O
resides either on the carboxylate or the ketone moiety (Extended Data Fig. 4b-d).
Interestingly, C
₁₀ H₉ NO₄ remained almost unlabeled in the wild type, which may be due
to the rapid hydrolysis of C ₁₀ H₉ NO₃ within the IadCDE catalytic center, where H ₂ O is
derived from catalytic reduction of molecular oxygen possibly by IadC.
Collectively, our data support a revised IAA degradation pathway in V. paradoxus
CL014 (Fig. 2c). Specifically, the initial oxidation of IAA proceeds through two sequential
steps (C ₁₀ H₉ NO₂ → C ₁₀ H₉ NO₃ → C ₁₀ H₉ NO₄ ) (Fig. 2c). IadCDE functions as a
monooxygenase complex that carries out the first oxidation, incorporating oxygen
derived from molecular oxygen, whereas IadJ acts as a dehydrogenase that completes
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
11
the second oxidation, incorporating the oxygen atom from H₂ O. Our data reveal that the
intermediate C₁₀ H₉ NO₃ is distinct from commonly believed pathway intermediate, oxIAA,
although they share the same molecular formula. Following the observed deuterium
labeling and mechanisms of known heme-dependent tryptophan or indole
dioxygenases
16–19, we propose that oxidation by IadCDE proceeds via a 2,3-epoxide
intermediate. This is followed by spontaneous ring opening via hydrolysis and IadJ
catalyzed dehydrogenation to produce dioxindole-3-acetic acid (C ₁₀ H₉ NO₄ ). This
revised pathway provides a more accurate framework for understanding IAA
degradation in V. paradoxus CL014. By homology, it suggests that the iad-like pathway
represents a conserved and unique auxin-catabolic strategy among certain plant-
associated commensals
9,20. This work also lays the foundation for further exploration of
iad-like pathways in these plant-associated bacteria in genera such as Bradyrhizobium,
Alcaligenes, and Achromobacter9.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
12
Fig. 2 | Isotope tracing with [²H ₇ ]IAA and H2
18O reveals a revised IAA degradation
pathway in V. paradoxus CL014. a , LC-MS analysis of [²H ₇ ]IAA catabolism identifies
key pathway intermediates and their deuterium labeling profiles. Left, LC–MS peak
intensities of major metabolites. Right, deuterium isotope distributions following
incubation with unlabeled IAA or [²H₇ ]IAA. Data represent mean ± s.e.m. (standard error
of the mean) of n = 3 biological replicates. b, H₂ ¹/i2 O (20% v/v) tracing confirms the
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
13
source of oxygen atoms incorporated during the two-step oxidation reactions. Data are
shown for two biological replicates. c , A revised mechanistic model of IAA degradation
consistent with isotope tracing.
The structurally and functionally divergent oxygenase complex IadCDE reverses
bacteria-induced root growth inhibition
Oxygenases play a crucial role in aerobic bacteria by incorporating oxygen into
chemically stable aromatic compounds, enabling their degradation into metabolically
accessible substrates
14,21. To date, the most extensively studied indole oxygenases fall
into two major families: the tryptophan dioxygenase (TDO) superfamily, which catalyzes
dioxygenation or monooxygenation via an Fe/heme-dependent mechanism
18,19,22; and
the flavin-dependent monooxygenases (FMOs), which use a flavin cofactor to mediate
oxygen transfer
23–25. Rieske-type dioxygenases may function divergently as
dioxygenase, monooxygenase, or hydroxylase 15–17. Our metabolomics and isotope
tracing reveal a monooxygenation-driven mechanism, identifying IadCDE in V.
paradoxus CL014 as a two-component indole monooxygenase, essential for initiating
IAA degradation, rather than a dioxygenase as previously annotated 9,12. The proposed
reaction mechanism closely resembles that of MarE, a heme-dependent aromatic
monooxygenase involved in the maremycin biosynthetic pathway of Streptomyces sp.
B9173
17–19,22. While MarE belongs to the TDO superfamily and relies on a heme
cofactor17,18, IadDE is structurally similar to Rieske non-heme dioxygenases (Fig. 3a, b)
12,15.
To investigate the molecular basis of IadCDE function, we determined the crystal
structure of the IadDE complex (PDB code: 9O71) from V. paradoxus CL014 at 1.28
/i2 Å
resolution, providing a high-resolution view of the complete holoenzyme. While a
homologous structure was previously resolved by cryo-EM at 1.8
/i2 Å resolution (with
98.4% and 100% protein sequence identity for IadD and IadE, respectively) 12 the
improved resolution of our X-ray structure allows for more precise visualization of
overall structural features. Structurally, IadDE adopts the canonical fold of Rieske-type
non-heme dioxygenases
26. IadD and IadE assemble into a heterodimeric α₃ β₃
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
14
quaternary complex with threefold symmetry and a characteristic mushroom-shaped
morphology (Fig. 3b)12. In the IadCDE complex, IadD contains both a Rieske-type [2Fe–
2S] cluster and a mononuclear iron center and serves as the catalytic subunit, while
IadE provides structural support. Trimerization of IadDE heterodimers brings the Rieske
iron-sulfur cluster of IadD close to the iron center of an adjacent IadD, potentially
facilitating electron transfer during catalysis (Fig. 3b). IadC is annotated as a reductase
and is proposed to mediate electron transfer from NADH to IadD to activate molecular
oxygen
12.
Phylogenetic analysis revealed that IadD forms a distinct subclade within the Rieske
dioxygenase and indole oxygenase family, showing close evolutionary relationships to
the phthalate family of Rieske non-heme dioxygenases
27, as well as to members of the
TDO and FMO superfamilies. This positioning may reflect shared functional features
among distinct oxygenase lineages (Extended Data Fig. 5).
To determine whether iadCDE alone is sufficient to reverse RGI in the context of
complex microbial communities, we genomically integrated the native repressor
marR739 alongside either the minimal 9 (iadCDE) or full ( iadC-K2) degradation pathway
into the Variovorax Δ HS33 strain. This enabled direct functional comparison of the
oxygenase module with the complete pathway under IAA-rich conditions. In M9 minimal
medium supplemented with glucose and 0.1 mg/mL IAA, both engineered strains
showed significantly enhanced IAA degradation relative to the wild type, independent of
bacterial growth (Fig. 3c, Extended Data Fig. 6a). In a gnotobiotic system, engineered
strains fully rescued RGI in Arabidopsis seedlings challenged with 100 nM exogenous
IAA, the auxin-producing strain Arthrobacter CL028, or a 32-member synthetic
community (SynCom32, Supplementary Table 1), with comparable effects observed in
Medicago (Fig. 3d, e). These results demonstrate that iadCDE alone is sufficient to
reverse RGI caused by both exogenous IAA and auxin-producing microbes. However,
under elevated IAA concentrations (1
μ M or 10 μ M), the strain harboring the full
degradation pathway outperformed the minimal mutant, suggesting that downstream
enzymatic steps confer an advantage in detoxifying excess IAA (Fig. 3f).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
15
Fig. 3 | Structural and genetic evidence show that IadCDE enables auxin
degradation and alleviates root growth inhibition. a , Crystal structure of the IadDE
complex from V. paradoxus CL014 resolved at 1.28 Å (PDB code: 9O71). b, A
heterohexameric IadDE complex is formed by trimerization of IadDE heterodimers. The
Rieske-type [2Fe–2S] cluster and mononuclear iron within each IadD subunit are shown
in matching colors. Trimer assembly reduces the spatial distance between the electron
donor (Rieske cluster) and acceptor (iron center), potentially enhancing catalytic
electron transfer efficiency. c, in vitro IAA degradation by engineered strains. IAA
concentrations were measured from culture supernatants of strains grown in M9
minimal medium supplemented with glucose and 0.1 mg/mL IAA. The Salkowski
reagent reacts with IAA to generate a pink-to-red chromophore with an absorption
maximum at 530 nm (OD
₅₃₀ ). Data represent the mean of two biological replicates per
sample. d–f, Primary root length of Arabidopsis seedlings exposed to 100 nM IAA or the
auxin-producing strain Arthrobacter CL028 ( d), A 32-member synthetic community
(SynCom32) in Arabidopsis and Medicago seedlings ( e), and elevated IAA
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
16
concentrations (1 μ M and 10 μ M) in Arabidopsis ( f). Letters above boxplots indicate
statistically significant differences as determined by one-way ANOVA with Tukey’s post
hoc test (P < 0.05). Groups not sharing the same letter differ significantly. “NB” indicates
the no-bacteria control. Sample sizes (left to right): d, n = 23, 29, 31, 31, 27, 34, 26, 34,
26, 25, 31, 16, 21, 21, 25; e, n = 64, 81, 56, 52, 53, 43, 52, 78, 52, 71, 47, 48; f, n = 19,
15, 18, 14, 9, 19, 17, 19, 19, 14. Box plots represent the median (center line),
interquartile range (box), and 1.5× interquartile range (whiskers).
Engineering of iad genes into two distinct root- associated bacteria confers IAA-
degrading activity and promotes auxin homeostasis
To evaluate whether root-associated bacteria can acquire IAA-degrading activity
through genetic engineering, we introduced iad genes into two root-associated strains:
Polaromonas MF047 and Paraburkholderia MF37628. Both strains, like Variovorax, are
Betaproteobacteria and do not impair host growth when co-inoculated with Arabidopsis
seedlings (Fig. 4b). Neither strain produced IAA when cultured in M9 minimal medium
supplemented with tryptophan and glucose, nor were they able to reverse RGI triggered
by exogenous IAA or by the auxin-producing strain Arthrobacter CL028 (Fig. 4b,
Extended Data Fig. 6d). Additionally, as an amino acid auxotroph, Polaromonas MF047
exhibited no growth in M9 minimal medium unless supplemented with amino acids
(Extended Data Fig.
/i2 6e).
To confer IAA-degrading capacity, we genomically integrated marR73 together with
either the minimal (iadCDE) or complete (iadC-K2) pathway into three intergenic sites in
Polaromonas MF047 and one site in Paraburkholderia MF376 (Extended Data Fig. 6b).
To minimize potential disruption of native gene expression, insertion sites were located
within non-coding intergenic regions ranging from 400 to 900 bp in length. All
engineered strains degraded IAA within 24 hours, and Paraburkholderia MF376 knock-
ins achieved complete IAA removal within four hours (Fig. 4a). This rapid degradation
alleviated RGI in Arabidopsis seedlings exposed to 100 nM exogenous IAA (Fig. 4b).
Growth curves in 50% TSB medium revealed no significant differences between wild-
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
17
type and engineered strains, indicating that chromosomal integration did not impair
bacterial fitness (Extended Data Fig. 6a).
To assess their function in plant-microbe interactions, we co-inoculated engineered
strains with Arthrobacter CL028 or SynCom32 on 7-day-old Arabidopsis seedlings in a
gnotobiotic system. After 7 days, all engineered strains fully rescued RGI triggered by
Arthrobacter CL028, restoring primary root length to control levels (Fig. 4b). In parallel,
they significantly alleviated RGI induced by SynCom32, with Paraburkholderia MF376
consistently showing greater efficacy than Polaromonas MF047 (Fig. 4c). To test cross-
species efficacy, we repeated the SynCom32 experiment using Medicago seedlings. In
this context, strains carrying the full iad pathway promoted stronger root growth than
those expressing only the minimal iadCDE module, highlighting the importance of a
complete IAA degradation pathway for effective function in complex microbial
environments (Fig. 4c). These results demonstrate for the first time that stable genomic
integration and expression of iad genes in root-associated bacteria is able to restore
root growth under microbial auxin stress. The engineered strains are effective across
microbial contexts and plant hosts, underscoring their potential as tools for microbiome-
based modulation of plant development.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
18
Fig. 4 | Engineering root-associated bacteria with iad genes enables IAA
degradation and alleviates root growth inhibition (RGI). a, Engineered Polaromonas
MF047 strains cultured in 50% TSB medium and Paraburkholderia MF376 strains
cultured in M9 medium efficiently degraded IAA. IAA levels were quantified from culture
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
19
supernatants using the Salkowski reagent, which forms a pink-to-red chromophore upon
reaction with IAA and is measured at OD ₅₃₀ . Data represent the mean of two biological
replicates per sample. b–c, Engineered chromosomal knock-in strains reversed RGI, as
indicated by enhanced primary root elongation in Arabidopsis seedlings treated with 100
nM IAA or the auxin-producing strain Arthrobacter CL028 ( b), and in Arabidopsis and
Medicago seedlings exposed to a 32-member synthetic bacterial community
(SynCom32) (c). Letters above boxplots indicate statistically significant differences as
determined by one-way ANOVA with Tukey’s post hoc test ( P < 0.05). Groups not
sharing the same letter differ significantly. “NB” denotes the no-bacteria control. Sample
sizes (left to right): b, n = 23, 42, 37, 31, 34, 26, 30, 27, 31, 26, 25, 51, 42, 44, 33, 39,
52, 49, 42, 26, 28, 35, 31, 21, 15, 21, 21, 23, 21, 17, 22, 22, 29; c, n = 64, 81, 45, 41, 33,
28, 61, 36, 17, 56, 75, 89, 52, 78, 76, 58, 67, 74, 57, 68. Box plots show the median
(horizontal line), interquartile range (boxes), and whiskers extending to 1.5× the
interquartile range.
Engineered Paraburkholderia MF376 reverses RGI that V. paradoxus CL014
cannot fully rescue
To assess the contribution of the iad pathway to RGI mitigation, we selected 23
previously identified RGI-inducing strains from nine bacterial genera (Supplementary
Table 1)5. Each strain was co-inoculated with either wild-type V. paradoxus CL014 or
the iad deletion mutant Δ HS33 on 7-day-old Arabidopsis seedlings. After 7 days, root
length measurements revealed that 22 strains induced RGI (Fig. 5a, b; Extended Data
Fig. 7). Among these, RGI caused by 16 strains was reversed by wild-type V.
paradoxus CL014, and in 12 of these cases (12/16), the wild type restored root growth
more effectively than the iad-deficient mutant
Δ HS33, indicating an iad-dependent
mitigation mechanism (Extended Data Fig. 7). In contrast, for Agrobacterium MF224,
Arthrobacter MF135, and Pseudomonas MF051, both wild-type and Δ HS33 strains
restored root growth to similar levels, suggesting an iad-independent mechanism (Fig.
5b).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
20
Genome analysis of V. paradoxus CL014 revealed a gene encoding 1-
aminocyclopropane-1-carboxylic acid (ACC) deaminase, an enzyme that degrades ACC,
the ethylene precursor29. Ethylene, a plant hormone, can inhibit primary root elongation
at high levels 30. Prior studies show that RGI induced by Arthrobacter CL028 and a
synthetic microbial community requires both auxin and ethylene signaling in the host 5.
While plants produce ethylene endogenously, certain soil and rhizosphere microbes
also contribute to ethylene levels
29. Notably, some Agrobacterium, Arthrobacter, and
Pseudomonas strains have been reported to produce ethylene, which can suppress root
elongation and alter root architecture 31–33. Based on these observations, we
hypothesized that the three iad-independent strains may produce both auxin and
ethylene, with IAA degradation mediated by the iad pathway and ethylene detoxification
potentially supported by ACC deaminase activity in V. paradoxus CL014. However,
deletion of the ACC deaminase gene in both wild-type and Δ HS33 backgrounds did not
impair their ability to reverse RGI, ruling out ethylene degradation through this ACC
deaminase as the primary mechanism (Fig. 5b). These findings suggest that while the
iad pathway is a central mechanism for suppressing RGI caused by many root-
associated strains, V. paradoxus CL014 also employs iad -independent strategies to
mitigate RGI from certain microbes.
Despite its broad effectiveness, V. paradoxus CL014 was unable to fully rescue RGI
induced by Pseudomonas MF048. To test whether iad-engineered strains could provide
enhanced reversion, we evaluated Polaromonas MF047 and Paraburkholderia MF376
engineered with the iad pathway. These strains were co-inoculated with Pseudomonas
MF048 alone or in combination with Arthrobacter CL028 on Arabidopsis seedlings. Root
length analysis showed that Paraburkholderia MF376 knock-in strains significantly
outperformed both V. paradoxus CL014 and engineered Polaromonas MF047 under
both conditions (Fig. 5c). Collectively, these results demonstrate that engineering
Paraburkholderia MF376 with the iad pathway enhances its ability to mitigate complex
RGI interactions, highlighting its potential as a robust and versatile chassis for
promoting plant growth in diverse microbial environments.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
21
Fig. 5 | Root growth inhibition by certain strains is mitigated independently of the
iad locus, while engineered Paraburkholderia MF376 enhances mitigation of iad-
dependent inhibition. a , Heatmap showing average primary root lengths of
Arabidopsis seedlings inoculated with 23 previously identified RGI-inducing strains 5,
either alone (self) or co-inoculated with V. paradoxus CL014 wild type or the iad-
deficient mutant Δ HS33, to assess iad-dependent reversion. Blue squares indicate
significant differences compared to the no-bacteria (NB) control demonstrating RGI
phenotypes; black squares indicate significant differences compared to the strain
inoculated alone (self). Corresponding box plots are shown in Extended Data Fig. 7. b,
Primary root length of Arabidopsis seedlings co-inoculated with iad -independent RGI-
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
22
inducing strains and treated with V. paradoxus CL014 wild type, Δ HS33, Δ acc (ACC
deaminase gene deleted), or Δ HS33 Δ acc (both iad and ACC deaminase genes
deleted). c, Primary root lengths of Arabidopsis seedlings inoculated with Pseudomonas
MF048 alone or with Arthrobacter CL028, and co-inoculated with V. paradoxus CL014,
or iad-engineered strains of Polaromonas MF047 or Paraburkholderia MF376. Letters
above boxplots indicate statistically significant differences as determined by one-way
ANOVA with Tukey’s post hoc test ( P < 0.05). Groups not sharing the same letter differ
significantly. “NB” denotes the no-bacteria control. Sample sizes (left to right): b, n = 40,
56, 48, 41, 48, 49, 14, 17, 25, 25, 21, 16, 28, 17, 15, 14, 15, 15; c, n = 42, 41, 41, 17, 25,
17, 29, 27, 29, 25, 26, 28, 22, 19, 30, 21, 30, 24, 25. Box plots show the median (center
line), interquartile range (boxes), and whiskers extending to 1.5× the interquartile range.
Impact of V. paradoxus CL014 and engineered strains on the root microbiome
and plant growth
V. paradoxus CL014 can degrade IAA without harming plant growth at normal treatment
levels (OD ₆₀₀ = 0.05). To test whether this effect holds under high bacterial load, we
applied V. paradoxus CL014 at OD ₆₀₀ = 2 to Arabidopsis seedlings in a gnotobiotic
system. No significant changes in primary root length were observed, indicating that
even at high densities, V. paradoxus CL014 does not adversely affect plant growth or
disturb auxin balance (Fig. 6a). These findings suggest that its IAA-degrading function
may primarily influence microbe–microbe interactions rather than directly altering plant
development.
To assess the impact of V. paradoxus CL014, Polaromonas MF047, Paraburkholderia
MF376, and their iad-gene-containing engineered strains on the root microbiome, we
treated Arabidopsis and Medicago seedlings with SynCom32 (Supplementary Table 1)
in the presence or absence of each strain. After 9 days, root-associated communities
were profiled by 16S rRNA amplicon sequencing. Despite receiving the same
SynCom32 inoculum, Arabidopsis and Medicago developed distinct root microbiomes,
highlighting the influence of host genotype (Fig. 6b). Among the three introduced genera,
Paraburkholderia exhibited the highest relative abundance in roots (50.84%), followed
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
23
by Variovorax (3.40%), whereas Polaromonas (0.01%) showed minimal colonization
(Fig. 6b, and Supplementary Table 6). Due to its robust root colonization,
Paraburkholderia MF376—both wild-type and engineered—substantially altered root
microbiome composition, explaining 52% and 33.8% of the community variation in
Arabidopsis and Medicago, respectively, as shown by unconstrained principal
coordinate analysis (PCoA) using Bray–Curtis distances (P = 0.001; Fig. 6c). In contrast,
V. paradoxus CL014 and Polaromonas MF047 had more modest effects (17.1-28.3%, P
= 0.05), consistent with their lower colonization (Fig. 6b, Extended Data Fig. 8 and
Supplementary Table 6).
Notably, no major differences were observed between wild-type and knock-in strains of
V. paradoxus CL014, Paraburkholderia MF376 and Polaromonas MF047, suggesting
that IAA degradation pathway did not markedly alter their interactions within the
microbiome (Fig. 6c, Extended Data Fig. 8). Log
₂ fold-change analysis revealed no
significant differences in the relative abundance of any genera between wild-type and
engineered strain inoculated conditions, further suggesting that microbiome shifts were
primarily driven by colonization capacity rather than IAA degradation activity (Extended
Data Fig. 9).
To evaluate potential benefits for plant performance, we inoculated untreated natural
soil with each strain and measured fresh shoot weight after 33 days. Arabidopsis grown
in soil supplemented with Paraburkholderia MF376 carrying the complete iad pathway
(marR73 iadC-K2) exhibited a significant increase in shoot biomass compared to
uninoculated controls and those treated with the wild-type strain (Fig. 6d, Extended
Data Fig. 10, and Supplementary Table 7). These findings indicate that combining a
strong plant colonizer chassis strain with the full IAA degradation pathway can enhance
plant growth in natural soil, offering a promising strategy for microbiome-based
agricultural interventions.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
24
Fig. 6 | Engineered strains do not alter root microbiome composition but promote
Arabidopsis growth. a , Primary root length of Arabidopsis seedlings treated with V.
paradoxus CL014 at OD ₆₀₀ = 2. Statistical significance was assessed using Welch’s
two-tailed t-test ( n = 19, 16). b , Relative abundance of bacterial genera in the root
microbiomes of Arabidopsis and Medicago seedlings treated with SynCom32 in
combination with wild-type or iad -engineered strains of V. paradoxus CL014,
Polaromonas MF047, and Paraburkholderia MF376. Sample sizes are indicated above
each bar. c , Unconstrained principal coordinate analysis (PCoA) of Bray–Curtis
dissimilarity showing root microbiome profiles in Arabidopsis and Medicago seedlings
treated with SynCom32 alone or with engineered Paraburkholderia MF376 strains.
Ellipses represent 68% confidence intervals. Statistical significance was determined by
PERMANOVA (Adonis2). d, Shoot fresh weight of 33-day-old Arabidopsis plants grown
in untreated natural soil inoculated individually with Paraburkholderia MF376 wild type
and marR73 iadC-K2 knock-in strains. Statistical significance was determined using
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
25
one-way ANOVA with Tukey’s post hoc test (n = 36, 32, 31). Data shown in panels a–d
are derived from two independent experiments.
Discussion
Members of the genus Variovorax play a critical role in plant–microbe interactions by
mitigating RGI induced by auxin-producing bacteria, establishing them as key plant-
beneficial microbes 5,8,34,35. Building on this foundation, we used bacterial genetics,
metabolomics, and isotope tracing to dissect the iad-mediated IAA degradation pathway
in V. paradoxus CL014. We illuminated the iad pathway biochemistry and defined the
iad genes associated with each pathway step. We then used this knowledge to evaluate
the functional transferability of the iad pathway to other root-associated bacteria and
assess the effects of these engineered strains on microbiome composition and plant
phenotype.
A previous study using [¹³C ₆ ]IAA (benzene ring-labeled) proposed that V. paradoxus
CL014 degrades IAA via a pathway similar to that of B. japonicum , in which IAA is
sequentially processed through 2-hydroxyindole-3-acetic acid, dioxindole-3-acetic acid
(DOAA), isatin, isatinic acid, and anthranilic acid 9,13. However, since key structural
modifications occur at the pyrrole ring and acetic acid side chain, we used [²H ₇ ]IAA to
track these changes with greater resolution. Surprisingly, our isotope tracing revealed a
distinct degradation route (Fig. 2c). Rather than proceeding through the 2-
hydroxyindole-3-acetic acid or 2-oxindole-3-acetic acid pathway, IAA was metabolized
via a likely epoxide mechanism followed by hydration, and a subsequent
dehydrogenation, ultimately leading to the production of the final product, anthranilic
acid (Fig. 2c). This finding redefines the function of IadDE: although annotated as, and
most structurally similar to Rieske non-heme dioxygenases (Fig. 3a, b), it functions as a
monooxygenase (Fig. 2). While classical Rieske dioxygenases typically catalyze
dioxygenation reactions, exceptions such as naphthalene dioxygenase have been
shown to perform monooxygenation via radical intermediates
15. However, indole
oxidation has rarely been attributed to Rieske-type enzymes and is more commonly
associated with the tryptophan 2,3-dioxygenase (TDO) superfamily, which features a
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
26
heme cofactor coordinated by a conserved histidine and a distinct core architecture 22,36.
Despite their structural divergence, the catalytic mechanism of IadCDE parallels that of
MarE, a heme-dependent monooxygenase in the TDO superfamily that catalyzes 2-
oxoindole formation during maremycin biosynthesis in Streptomyces (Extended Data
Fig. 5)
17,18. While some TDO enzymes catalyze dioxygenation via two consecutive
monooxygenation steps, others—including MarE, SfmD, and TyrH—mediate single
oxygen-atom transfer, with the second oxygen likely reduced to water in the presence of
an electron donor such as ascorbate
17–19,22,37. Given the central role of oxygenases in
bacterial aromatic compound degradation 14, our findings provide new mechanistic
insights into O ₂ -dependent ring cleavage strategies that overcome the inherent
chemical stability of aromatic substrates. This revised pathway highlights the functional
diversity of oxygenases and suggests that IadDE-mediated degradation of indole
compounds more closely resembles the activity of heme-dependent monooxygenases
than classical Rieske-type dioxygenases, representing a distinct biochemical route for
aromatic catabolism (Extended Data Fig. 5). Notably, pathways for direct conversion of
indoles to oxindoles have garnered increasing attention due to their relevance to various
pathogenic processes in humans and the multipotent therapeutic value of oxindole
pharmacophores
16. Our study expands the understanding of microbial oxygenase
diversity and provides a valuable link between bacterial aromatic catabolism and
broader biological processes involving indole monooxygenation.
IadC and IadDE form a two-component oxygenase system, with IadC transferring
electrons from NADH to IadDE to activate molecular oxygen 12,26. Although IadC
enhances catalytic efficiency 9, it is dispensable in V. paradoxus CL014, likely due to
functional redundancy with endogenous reductases. This is supported by the
observation that overexpression of iadDE alone in the
Δ HS33 background restores IAA
degradation9. Moreover, IadDE activity is strain-dependent when expressed
heterologously; it functions in E. coli 10 Beta but not in BL21(DE3), likely due to host-
specific differences in redox environments 9,12. Analogous redundancy has been
reported in Sphingopyxis granuli , where ThnA4, a ferredoxin reductase, is dispensable
for tetralin degradation38. While iadC is not required for IAA degradation in V. paradoxus
CL014, it is essential for RGI mitigation. In Arabidopsis, only Δ HS33 strains expressing
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
27
iadCDE, but not iadDE alone, reversed RGI induced by the auxin-producing
Arthrobacter CL0289, indicating that iadC is essential for functional rescue.
To test broader applicability, we engineered Polaromonas MF047 and Paraburkholderia
MF376 with the same two versions of the iad pathway, selecting these chassis strains
for their root-association and potential plant-beneficial traits. All engineered strains
degraded IAA and alleviated RGI induced by exogenous IAA, Arthrobacter CL028, and
SynCom32 (Fig. 4). Notably, Paraburkholderia MF376 consistently outperformed
Polaromonas MF047 across all tested conditions and reversed RGI caused by
Pseudomonas MF048, where V. paradoxus CL014 is ineffective (Fig. 5c). 16S rRNA
amplicon sequencing revealed that integration of the iad pathway into any of these
strains (Δ HS33, MF047, or MF376) did not substantially alter root community structure
compared to the respective wild type (Fig. 6b). Instead, colonization capacity emerged
as the major driver of microbiome shifts (Fig. 6b, c; Extended Data Fig. 8). Among all
tested strains, Paraburkholderia MF376 strains exhibited the highest colonization
efficiency whether wild type or engineered (Fig. 6b). And, in natural soil with a native
microbiome, the engineered Paraburkholderia MF376 strain significantly enhanced plant
growth, increasing shoot biomass relative to uninoculated controls and the wild type (Fig.
6d, Extended Data Fig. 10). This beneficial effect likely reflects its superior root
colonization ability and the efficient IAA-degrading activity introduced through our
engineering. Together, our findings underscore the importance of chassis strain
selection when engineering IAA-degradation into new bacteria and demonstrate that
combining heterologous expression of the iad genes with strong root colonization
appears best for promoting rhizosphere auxin homeostasis and plant growth. This study
advances our mechanistic understanding of microbial auxin metabolism and provides a
platform for designing next-generation microbial bioinoculants to modulate plant-
microbe interactions and enhance crop productivity in diverse soil environments.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
28
Methods
Engineering bacterial strains
Knock-out mutant construction. Gene deletions in V. paradoxus CL014 were
generated using the suicide vector pMo130, following previously established
Methods
5,9,39. The vector backbone was PCR amplified and treated with DpnI to
remove the template DNA. Primers used for mutant construction are listed in
Supplementary Table 2. Upstream and downstream flanking regions of target genes
were amplified from V. paradoxus CL014 genomic DNA using Platinum SuperFi II PCR
Master Mix (Thermo Fisher Scientific). PCR products were purified using the DNA
Clean & Concentrator Kit (Zymo Research) and assembled into pMo130 using HiFi
Gibson Assembly Master Mix (New England Biolabs). Assembled plasmids were
transformed into E. coli NEB 5-alpha (New England Biolabs), selected on Lysogeny
Broth (LB, Thermo Fisher Scientific, BP1427) agar (2% w/v) supplemented with
kanamycin (50 µg/mL), and verified by Sanger sequencing (Genewiz). Sequence-
confirmed plasmids were transferred into the diaminopimelic acid (DAP) auxotrophic E.
coli WM3064 for conjugation. Transformants were selected on LB agar containing
kanamycin (50 µg/mL) and DAP (0.3 mM), and grown at 37
/i2 °C for 24 h. For biparental
mating, donor E. coli WM3064 and recipient V. paradoxus CL014 (pre-grown in 50%
TSB (Tryptic Soy Broth, Thermo Fisher Scientific, CM0129) agar (2% w/v) with
ampicillin (100 µg/mL)) were washed twice with 50% TSB, mixed at a 1:1 volume ratio,
pelleted (5,000 × g, 5 min), resuspended in 1/10 volume of 50% TSB, and spotted onto
50% TSB agar containing DAP (0.3 mM). After overnight incubation at 28
/i2 °C,
exconjugants were selected on 50% TSB agar containing ampi cillin and k anamycin
without DAP, and incubated for 3–4 days. Resulting colonies were re-streaked onto
fresh antibiotic 50% TSB agar to ensure clonality and remove residual donor cells.
Single colonies were screened by colony PCR to confirm single-crossover integration.
Verified integrants were cultured in 50% TSB with ampicillin and Isopropyl
β -D-1-
thiogalactopyranoside (IPTG, 1 mM). Cultures were plated on sucrose counter-selection
agar (10 g/L tryptone, 5 g/L yeast extract, 10% w/v sucrose, 2% w/v agar, 100 µg/mL
ampicillin, 1 mM IPTG) and incubated at 28
/i2 °C for 3-4 days. Resulting colonies were
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
29
passaged in the same liquid medium, and deletion events were verified by PCR. Final
deletion strains were re-streaked on 50% TSB with ampicillin and confirmed by
diagnostic PCR using one primer located outside the deletion region and one within the
deleted gene to ensure complete excision and strain purity. DNA templates for all PCRs
were prepared using the following rapid lysis protocol
40. A single colony or 6 µl of
bacterial culture was mixed with 10 µl of alkaline lysis buffer (25 mM NaOH, 0.2 mM
Na₂ -EDTA, pH 12), incubated at 95 /i2 °C for 30 min, and neutralized with 10 µl Tris-HCl
(40 mM, pH 7.5). The resulting material was used directly as PCR template (1:10,
template:total PCR reaction volume).
Overexpression mutant construction. V. paradoxus CL014 marR73 iadCDE and
marR73 iadC-K2 were cloned into the broad-host-range vector pBBR1MCS-2 as
previously described5,9,41, genomic fragments were amplified using Platinum SuperFi II
PCR Master Mix and assembled into pBBR1MCS-2 via Gibson assembly using HiFi
Gibson Assembly Master Mix (New England Biolabs). Primers used for mutant
construction are listed in Supplementary Table 2. Circular template DNA was digested
with DpnI, and assembled plasmids were transformed into E. coli NEB 10-beta (New
England Biolabs). Transformants were selected on LB agar containing kanamycin (50
µg/mL), and plasmids were extracted (ZR Plasmid Miniprep Kit, Zymo Research) and
verified by Sanger sequencing. Verified constructs were introduced into V. paradoxus
CL014
Δ HS33 by tri-parental mating, using E. coli pRK2013 as a helper strain. Donor
and helper strains were grown in LB with kanamycin (50 µg/mL) at 37 /i2 °C, and the
recipient strain was cultured in 50% TSB with ampicillin (100 µg/mL) at 28 /i2 °C. All
strains were pelleted (5,000 × g, 5 min), washed in 50% TSB twice, mixed at equal
volumes, and spotted onto 50% TSB agar for overnight conjugation at 28 /i2 °C.
Exconjugants were selected on 50% TSB agar supplemented with kanamycin (50
µg/mL) and ampicillin (100 µg/mL), confirming successful plasmid transfer into V.
paradoxus CL014
Δ HS33.
Knock-in mutant construction. Two gene combinations, marR73 iadCDE and marR73
iadC-K2, were integrated into the iad locus of V. paradoxus CL014 Δ HS33, as well as
three intergenic genomic sites in Polaromonas MF047 (IMG genome ID 2636416056
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
30
with insertion positions between Gene IDs: 2639079279–80, 2639079819–20, and
2639080354–55) and one site in Paraburkholderia MF376 (IMG genome ID
2521172625 with insertion position between Gene IDs 2521671121–22), using the
pMo130 suicide vector (Extended Data Fig. 6b). Gene amplification, vector assembly,
and verification followed the same procedure as knockout mutant construction, except
that plasmids were initially propagated in E. coli NEB 10-beta. Primers used for mutant
construction are listed in Supplementary Table 2. Sequence-verified plasmids were
electroporated into V. paradoxus CL014
Δ HS33, Polaromonas MF047, and
Paraburkholderia MF376, as described below. Strains were cultured in 50% TSB at
28
/i2 °C with shaking (250 rpm) for 2 days, followed by 24 h incubation at 4 /i2 °C. Cells
were harvested (5,000 × g, 10 min, 4/i2 °C), washed twice with ice-cold sterile water, and
resuspended in 10% sterile glycerol for electroporation. For each reaction, 100 ng of
plasmid DNA was electroporated into 100 µl of competent cells using a 0.1 cm gap
cuvette using the following conditions: 1,800 V, 25 µF, 200
Ω for marR73 iadCDE, and
2,500 V, 25 µF, 200 Ω for marR73 iadC-K2. After electroporation, cells were recovered
in SOC medium (New England Biolabs, B9020) at 28 /i2 °C (250 rpm) for 3 h and plated
on 50% TSB agar with selective antibiotics: ampicillin (100 µg/mL) + kanamycin (200
µg/mL) for Polaromonas MF047 and kanamycin (50 µg/mL) for Paraburkholderia
MF376. After 4–5 days of incubation, single colonies were screened by colony PCR
using crude DNA extracted with alkaline lysis buffer. PCR-confirmed integrants were
grown overnight in 50% TSB with 1 mM IPTG, supplemented with ampicillin (100 µg/mL)
for Polaromonas MF047 and without antibiotics for Paraburkholderia MF376. Cultures
were then diluted 1,000-fold and plated on sucrose counter-selection agar to induce
second recombination (5% w/v sucrose for Polaromonas MF047; 20% w/v sucrose for
Paraburkholderia MF376). Double-crossover mutants were confirmed by PCR and
Sanger sequencing.
Liquid chromatography -mass spectroscopy (LC–MS) metabolomics
Sample preparation. V. paradoxus strains were streaked from glycerol stocks onto 50%
TSB agar plates supplemented with appropriate antibiotics: ampicillin (100 µg/mL) for
knockout mutants and wildtype, and ampicillin (100 µg/mL) plus kanamycin (50 µg/mL)
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
31
for overexpression mutants. Plates were incubated at 28/i2 °C for 3 days. Single colonies
were inoculated into 5 mL of 50% TSB containing the appropriate antibiotics and
cultured at 28 /i2 °C with shaking at 250 rpm for 48 h. Bacterial cultures were harvested
and washed following the root growth inhibition assay protocol, then resuspended in 5
mL of modified M9 medium supplemented with 15 mM succinic acid to a final OD ₆₀₀ of
0.05. Cultures were incubated at 28 /i2 °C, 250 rpm for 15 h, after which IAA or
deuterium-labeled IAA ([ 2H7]IAA, DLM-8040-0.1, Cambridge Isotope Laboratories) was
added to a final concentration of 0.1 mg/mL. Cultures were incubated for an additional 4
h. Cells were collected at a total biomass of OD
₆₀₀ × volume (mL) = 2, centrifuged at
5,000 × g for 10 min, and pellets were resuspended in 400 µl of cold quenching solvent
(acetonitrile : methanol : water, 40:40:20, v/v/v). Samples were stored at −80 /i2 °C prior
to metabolite extraction and LC–MS/MS analysis.
LC-MS analysis. LC-MS analysis was performed on a Vanquish UHPLC system
(Thermo Fisher Scientific) coupled to a quadrupole Orbitrap Exploris 480 mass
spectrometer. LC separation of polar metabolites was achieved using a Waters
XBridge BEH Amide column (2.1 mm × 150 mm, 2.5-µm particle size, 130-Å pore size).
The LC method has a 25-min solvent gradient at a flow rate of 150 µL/min, with the
following gradient parameters: 0 min, 90% B; 2 min, 90% B; 3 min, 75%; 7 min, 75% B;
8 min, 70%, 9 min, 70% B; 10 min, 50% B; 12 min, 50% B; 13 min, 25% B; 14 min, 25%
B; 16 min, 0% B, 20.5 min, 0% B; 21 min, 90% B; 25 min, 90% B, where Solvent A was
95:5 water : acetonitrile with 20 mM ammonium hydroxide and 20 mM ammonium
acetate (pH 9.4) and solvent B was acetonitrile. The autosampler temperature was 4 °C,
the column temperature was 25 °C, and the injection volume was 10
μ l. The Exploris
480 mass spectrometer was operated in full scan mode in negative polarity on MS1
level, which allows the relative quantitation of the metabolite across by ion count.
Following parameters are used for the full scan: resolution, 120,000; scan range, m/z
70-1000 (negative mode); AGC target, 1e6; ITmax, 500 ms. Other instrument
parameters are spray voltage 3000 V, sheath gas 35 (Arb), aux gas 10 (Arb), sweep
gas 0.5 (Arb), ion transfer tube temperature 300 °C, vaporizer temperature 35
◦ C,
internal mass calibration on, RF lens 50. The MS2 spectra were collected in targeted
mode using the parallel reaction monitoring (PRM) function at higher energy C-trap
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
32
dissociation (HCD) energy of 20eV, and other instrument settings as following:
resolution 30,000, AGC target 1e6, maximum injection time 250 /i2 ms, and isolation
window 1.0 /i2 m/z. For the MS1 data analysis, raw LC–MS data were converted to
mzXML format using ProteoWizard42 Peak picking was performed with EL-Maven
(v0.12.1-beta; Elucidata) for unlabeled and 2H-labeled compounds, and MAVEN
(v2.10.14c) for 18O-labeled compounds. Relative abundance changes of each
metabolite were quantified using relative peak area tops in the chromatogram. For 2H-
labeled data analysis, natural isotope abundance was corrected using the AccuCor R
package
43 (https://github.com/lparsons/accucor). For 18O-labeled data analysis, isotope
correction was performed using the Iso-Autocorr package
(https://github.com/xxing9703/Iso-Autocorr
). For the MS2 data, raw LC–MS files were
processed and peaks were extracted with the built-in Xcalibur Qual Browser (Thermo
Scientific, v4.4).
IadDE protein expression, purification and crystallization
Protein expression. The iadD and iadE genes (IMG gene IDs: 2643613669,
2643613668) from V. paradoxus CL014 (IMG genome ID: 2643221508) were cloned
into the pET28b expression vector with an N-terminal His-tag and transformed into E.
coli BL21(DE3) for recombinant protein expression. Transformants were plated on LB
agar supplemented with kanamycin (50 µg/mL) and chloramphenicol (33 µg/mL) and
incubated at 37/i2 °C for 24 h. Individual colonies were picked and grown overnight in LB
medium at 37/i2 °C with shaking at 250 rpm. Overnight cultures were diluted 1:1000 into
autoinduction (AI) medium (ZYM-5052)44 containing the same antibiotics, and incubated
at 37/i2 °C, 250 rpm for 22 h. Cells were harvested by centrifugation at 5,000 × g for 20
min at 4 /i2 °C, and pellets were collected and stored at –80 /i2 °C for subsequent protein
purification.
Protein purification. Cell pellets were resuspended in IMAC Buffer A (20 /i2 mM
NaH₂ PO₄ , 500/i2 mM NaCl, pH 7.4) at a ratio of 1 /i2 g pellet per 10/i2 mL buffer. To reduce
viscosity, 0.1/i2 µL benzonase nuclease (Sigma-Aldrich, 70746) was added per gram of
cell pellet. Cells were lysed using an EmulsiFlex-C5 high-pressure homogenizer (three
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
33
passes), and the lysate was clarified by centrifugation at 25,000 × g for 30 min at 4/i2 °C.
The supernatant was filtered through a 0.22 µm syringe filter and loaded onto a 5 mL
Ni-charged Nuvia IMAC column (Bio-Rad) using a fast protein liquid chromatography
(FPLC) system (Bio-Rad). The column was washed with IMAC Buffer A containing 15
mM imidazole, and bound proteins were eluted with IMAC Buffer B (20 mM NaH
₂ PO₄ ,
500 mM NaCl, 500 mM imidazole, pH 7.4). Eluted fractions were analyzed by SDS–
PAGE (Bio-Rad Stain-Free gels), pooled, concentrated, and buffer-exchanged into
50
/i2 mM Tris-HCl (pH/i2 7.0), 150/i2 mM NaCl using 10/i2 kDa MWCO concentrators (Pierce,
Thermo Fisher). Purified protein was stored at 4/i2 °C, and concentration was determined
using the Pierce BCA Protein Assay Kit (Thermo Fisher Scientific).
Protein crystallography. Purified IadDE was concentrated to 10 mg/mL in buffer
supplemented with 1 mM dithiothreitol (DTT) and crystallized using the sitting-drop
vapor diffusion method at 20 /i2 °C. Crystallization drops were prepared by mixing 1.5 µl
of protein solution with 1.5 µl of reservoir solution in 24-well sitting-drop plates. The
reservoir solution contained 9.6–10.6% (w/v) PEG 3350 and 0.1 M sodium citrate
tribasic dihydrate (pH 5.5). Crystals were cryoprotected by brief soaking in the reservoir
solution supplemented with 30% (v/v) ethylene glycol and subsequently flash-cooled in
liquid nitrogen for data collection. Diffraction data were collected at beamlines 17-ID1
(AMX) and 17-ID2 (FMX) at Brookhaven National Laboratory to a maximum resolution
of 1.28 Å. Crystals grew in space group H3 (hexagonal setting of R3) with typical cell
dimensions a=b=130.5 Å c=100.7 Å
α =β =90° γ =120° with one complex per asymmetric
unit. Data were processed with XDS 45 and scaled with AIMLESS 46. The structure was
determined by the method of molecular replacement using the program PHASER 47
utilizing sequential placement of the two subunits with the models derived from
AlphaFold models. The structure was rebuilt in COOT 48, incorporating a [2Fe–2S]
cluster and a mononuclear iron-binding site, and subsequently refined using
PHENIX.REFINE
49. The final model showed good agreement with the experimental
data and displayed excellent geometry. The final model and associated X-ray data have
been deposited with the Protein Data Bank with code 9O71. Relevant refinement
statistics are summarized in Supplementary Table 5.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
34
Measurement of IAA degradation
IAA degradation by bacterial strains was assessed using a spike-in approach. Bacterial
preparation followed the same procedure as the root growth inhibition assay, including
streaking from glycerol stocks, cultivation, washing, and OD ₆₀₀ measurement. Washed
cells were inoculated into M9 medium 5,9 (3 g/L KH ₂ PO₄ , 0.5 g/L NaCl, 6.78 g/L
Na₂ HPO₄ , and 1 g/L NH ₄ Cl), supplemented with 2 mM MgSO ₄ , 0.1 mM CaCl ₂ , 10 µM
FeSO₄ , and 5 g/L glucose, to a final OD ₆₀₀ of 0.05. Cultures were incubated at 28 /i2 °C
with shaking (250 rpm) for 15 h before IAA was spiked-in to a final concentration of 0.1
mg/mL. Aliquots (300 µl) were collected at 2 h or 4 h intervals, centrifuged at 5,000 × g
for 10 min, and 50 µl of the supernatant was mixed with 100 µl of freshly prepared
Salkowski reagent (10 mM FeCl ₃ and 35% perchloric acid). After incubation for 40 min
at room temperature, absorbance was measured at 530 nm using a BioTek Synergy H1
microplate reader. As Polaromonas MF047 is an amino acid auxotroph and cannot grow
in minimal medium, this strain and its engineered strains were assayed in 50% TSB
medium instead of M9. All strains were tested in three biological replicates to ensure
reproducibility.
Bacterial growth curve
Bacterial preparation followed the same protocol as the root growth inhibition assay.
Washed cells were inoculated into 200 µl of either M9 minimal medium or 50% TSB
medium at a final OD
₆₀₀ of 0.05. Each strain was tested in three biological replicates to
ensure reproducibility. Cultures were grown in sterile 96-well cell culture plates, sealed
with Breathe-Easy gas-permeable film (Diversified Biotech), and incubated at 28 /i2 °C
with continuous linear shaking. Optical density at 600 /i2 nm (OD₆₀₀ ) was recorded every
2/i2 h over a 24-hour period using a BioTek Synergy H1 microplate reader to monitor
bacterial growth dynamics.
Root growth inhibition assay
Seedling and seed preparation. Arabidopsis thaliana Col-0 seeds were surface-
sterilized by vortexing in 70% bleach containing 0.2% Tween-20 for 10 min, followed by
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
35
five washes with sterile distilled water. Seeds were sown on half-strength Murashige
and Skoog (MS) agar medium (2.22 g/L MS basal medium with Gamborg vitamins
(PhytoTech Labs, M-404), 0.5 g/L MES, 5 g/L sucrose, 10 g/L agar, pH 5.7 adjusted
with 3 M NaOH) in 12 × 12 cm square plates and grown vertically under short-day
conditions (21
/i2 °C day / 18 /i2 °C night, 10 h light / 14 h dark, 70% relative humidity, 170
μ mol m ⁻ ² s ⁻ ¹ light intensity) for 7 days. Medicago seeds were sterilized following
published protocols50,51. Briefly, seeds were treated with concentrated sulfuric acid for
10 min with agitation, rinsed once with sterile water, then treated with 70% bleach for 3
min. After five additional washes, seeds were imbibed in sterile water for 2–6 h at room
temperature prior to use.
IAA-containing plate preparation. Half-strength MS agar medium was autoclaved and
cooled until warm to the touch. IAA stock solutions (1 mM or 100 mM in 100% ethanol)
were added to final concentrations of 100 nM, 1 µM, or 10 µM. Stocks were stored at –
20
/i2 °C for up to two months.
Bacterial and SynCom32 preparation. Bacterial strains were revived from 20%
glycerol stocks by streaking onto 50% TSB agar plates (15 g/L tryptic soy broth, 20 g/L
agar) and incubated at 28 /i2 °C for 3–4 days. Single colonies were inoculated into 5 mL
50% TSB and grown for 2 days at 28 /i2 °C with shaking (250 rpm). Cultures were
pelleted at 5,000 × g for 10/i2 min, washed twice with 3/i2 mL of sterile 10/i2 mM MgCl₂ , and
resuspended in 750/i2 µl of the same buffer. The optical density at 600 /i2 nm (OD₆₀₀ ) was
measured using a NanoDrop One C with semi-micro cuvettes and adjusted to 0.05. For
SynCom32 assembly, each strain’s OD ₆₀₀ was measured individually. To ensure equal
biomass contribution, volumes were calculated using the equation: OD₆₀₀ × volume (µl)
= 300, and combined accordingly. The pooled culture was washed and resuspended as
described above.
Bacterial inoculation. For plant-microbe co-inoculation assays, 100 µl of strain (OD ₆₀₀
= 0.05) was evenly spread onto the surface of half-strength MS agar plates. For
SynCom32, 100 µl of the pooled culture (OD
₆₀₀ = 0.05) was applied, followed by 100 µl
of V. paradoxus CL014, Polaromonas MF047, Paraburkholderia MF376, or their
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
36
engineered strains at OD ₆₀₀ = 0.005. Plates were incubated overnight at room
temperature prior to seedling transfer.
Plant growth and measurement. Seven-day-old Arabidopsis seedlings or sterilized
Medicago seeds were transferred onto pre-inoculated plates. Plates were sealed with
3M Micropore tape and incubated vertically in a growth chamber under short-day
conditions for 7 days. For 16S rRNA amplicon sequencing, plants were grown for 9
days to allow sufficient biomass for DNA extraction. Plates were imaged using a digital
camera, and primary root elongation was measured as the distance from the initial to
final root tip position using the freehand line tool in ImageJ. All primary root elongation
data are provided in Supplementary Table 3.
Microbiome analysis
Sample collection. After nine days of co-incubation with bacteria, roots from
Arabidopsis and Medicago were harvested for microbiome profiling. Each sample
consisted of 5–10 roots pooled per plate, with 3–5 biological replicates per treatment.
Roots were transferred to 15 mL Falcon tubes containing 7 mL sterile water and
washed by vigorous vortexing. Excess water was removed using sterile filter paper, and
dried roots were transferred to Lysing Matrix E tubes (MP Biomedicals) and stored at –
80
/i2 °C until DNA extraction. For SynCom32 input controls, bacterial cultures were
pelleted at 5,000 × g for 10 min, the supernatant was discarded, and pellets were stored
at –80/i2 °C.
DNA extraction. Samples were homogenized using a FastPrep-24™ 5G instrument
(MP Biomedicals) with two 40 s cycles at 6.0 m/s for root samples, and one cycle for
SynCom32 input controls, with 2 min on ice between runs to prevent overheating. DNA
was extracted using the FastDNA SPIN Kit for Soil (MP Biomedicals), eluted in 55 µl
DES buffer (provided in the kit), quantified using the Quant-iT PicoGreen dsDNA Assay
Kit (Thermo Fisher), and diluted to 3.5 ng/µl with DES buffer.
16S rRNA library preparation and sequencing.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
37
The V5–V7 region52 of the 16S rRNA gene was amplified using a two-step dual-indexed
PCR approach. The first PCR was performed using Platinum SuperFi II PCR Master
Mix (Thermo Fisher) in a 25 µl reaction containing: 12.5 µl Master Mix, 7 µl nuclease-
free water (Qiagen), 2 µl of 5 µM forward primer 799F (5
′ -
AACMGGATTAGATACCCKG-3′ , with 10-bp sample barcode), 1 µl of 10 µM reverse
primer 1192R (5 ′ -ACGTCATCCCCACCTTCC-3′ , with 6-bp library barcode), and 2.5 µl
of 3.5 ng/µl DNA template. Thermal cycling conditions were: 98/i2 °C for 30 s, followed by
30 cycles of 98/i2 °C for 10 s, 55 /i2 °C for 10 s, and 72 /i2 °C for 15 s, with a final extension
at 72/i2 °C for 5 min. Three technical PCR replicates were pooled per sample to minimize
amplification bias. Products were verified by 1.2% agarose gel electrophoresis. For gel
purification, 25 µl of each PCR product (two samples per lane) were pooled with 10 µl
6× loading dye, run on a 1.2% agarose gel, and ~400 bp bands were excised and
purified using the Wizard SV Gel and PCR Clean-Up System (Promega). DNA
concentration was assessed by PicoGreen, and 100 ng of each sample was pooled for
library construction and cleaned with 0.9× AMPure XP beads (Beckman Coulter). A
second PCR was performed to add Illumina sequencing adapters. Final libraries were
sequenced on an Illumina MiSeq platform (2 × 300 bp paired-end reads)
52,53 at the
Princeton Genomics Core Facility. After quality filtering, a total of 14,907,735 high-
quality sequences were obtained from 175 samples, with an average of 85,187 reads
per sample.
Amplicon data processing. Raw reads were demultiplexed in QIIME2 (v2024.10)
54
using qiime cutadapt demux-paired 55, and primer sequences were trimmed with qiime
cutadapt trim-paired. Denoising, quality filtering, and chimera removal were performed
with DADA2 (qiime dada2 denoise-paired) 56. After testing multiple truncation lengths,
forward reads were truncated at 220 bp and reverse reads at 180 bp to optimize read
retention and ASV diversity. ASVs were taxonomically classified using a naïve bayes
classifier trained on a custom database of root-associated bacterial sequences
57 via
qiime feature-classifier classify-sklearn. Assignments were filtered based on confidence
scores, prevalence, and relative abundance. Relative abundance tables were generated
using qiime feature-table relative-frequency and merged with taxonomy and metadata
for visualization in R using ggplot2. Beta diversity was calculated using Bray–Curtis
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
38
dissimilarity (R package vegan, vegdist) 58, followed by principal coordinate analysis
(PCoA; cmdscale). Differences in community composition were assessed by
PERMANOVA using adonis2 58. Differential abundance analysis was conducted using
the Mann–Whitney U test with FDR correction. Log ₂ fold changes were calculated, and
heatmaps were visualized using pheatmap (R v4.4.2)59.
Plant growth promotion assay in natural soil
Soil was collected from the Stony Ford Research Station (Princeton, NJ, USA), where
no chemical fertilizers, pesticides, or plants had been applied or grown in recent years.
The soil was sieved twice to remove rocks and plant debris, then distributed into pots
placed within 9 × 13-inch aluminum foil trays. Pots were saturated overnight with 1.2 L
of sterile water containing bacterial inoculum. Bacterial preparation followed the same
protocol as the root growth inhibition assay, including streaking, cultivation, washing,
and OD
₆₀₀ measurement. Individual bacterial strains were suspended in 1.2 L of sterile
water to a final OD ₆₀₀ of 0.03 prior to soil application. Each treatment included four
biological replicates (pots). Arabidopsis Col-0 seeds were surface sterilized as
described above and placed directly onto the surface of inoculated soil. Pots were
maintained under short-day conditions in a growth chamber and watered with 600–800
mL of distilled water every 4 days. Afte r 33 days, above-ground tissues were harvested
and shoot fresh weight was measured using an analytical balance.
Acknowledgements
We thank Prof. Jeffery L. Dangl (University of North Carolina at Chapel Hill, USA) for
providing bacterial strains used in this study and for valuable suggestions on the
manuscript. We also acknowledge the Princeton University Genomics Core Facility for
performing 16S rRNA amplicon sequencing. This research used resources of the AMX
(17-ID-1) and FMX (17-ID-2) beamlines at the National Synchrotron Light Source II
(NSLS-II), a U.S. Department of Energy (DOE) Office of Science User Facility operated
by Brookhaven National Laboratory under Contract No. DE-SC0012704. The Center for
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
39
Bio Molecular Structure (CBMS) is supported by the NIH National Institute of General
Medical Sciences (P30GM133893) and the DOE Office of Biological and Environmental
Research (KP1605010). This work was supported by the Lidow Independent
Work/Senior Thesis Fund to M.J.K.; the National Science Foundation grant CHE-
2246289 to J.T.G.; the Department of Energy (DOE) DE-SC0018260 to J.D.R; the DOE
Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy,
Office of Science, Biological and Environmental Research Program under Award
Number DE-SC0018420) to J.D.R., Y.S., and X.L.; the Project X Fund administered by
the School of Engineering and Applied Science at Princeton University to J.M.C.;
startup funds from the Department of Chemical and Biological Engineering to J.M.C.
Author contributions
J.M.C. and J.D.R. supervised the project. T.J., Y.S., and J.M.C. conceived the study
and designed the experiments. T.J. constructed mutant bacterial strains and prepared
samples for LC-MS analysis. Y.S. and X.L. conducted metabolomics experiments, and
together with J.T.G., analyzed the resulting data. T.J. performed plant-microbe
interaction experiments and data analysis. T.J. and M.J.K. expressed and purified
proteins, while T.J. and P.D.J. carried out protein crystallization and structural data
analysis. T.J. also prepared samples, constructed libraries, and analyzed 16S rRNA
sequencing data, and conducted the plant growth promotion assay in natural soil. T.J.,
Y.S., X.L., and J.M.C. wrote the manuscript, with input and feedback from all co-authors.
Competing interests
Princeton University has filed pending patent applications covering aspects of the auxin
degradation pathway engineering described in this work, listing T.J. and J.M.C. as
inventors. J.D.R. is a co-founder, director and stockholder in Raze Therapeutics and
Farber Partners; a co-founder and stockholder in Fargo Biotechnologies; and an advisor
and stockholder in Empress Therapeutics, Bantam Pharmaceuticals, Faeth
Therapeutics, Colorado Research Partners and Rafael Pharmaceuticals.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
40
Data availability
All data supporting the findings of this study are available within the paper and its
Supplementary Information. Source data underlying the figures are also provided with
this paper. The IadDE protein structure has been deposited in the Protein Data Bank
under accession code 9O71.
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
41
References
1. Acharya, M. et al. Soil microbial diversity in organic and non-organic pasture systems.
PeerJ 9, e11184 (2021).
2. Banerjee, S. & Van Der Heijden, M. G. A. Soil microbiomes and one health. Nat. Rev.
Microbiol. 21, 6–20 (2023).
3. Duca, D. R. & Glick, B. R. Indole-3-acetic acid biosynthesis and its regulation in plant-
associated bacteria. Appl Microbiol Biotechnol 104, 8607–8619 (2020).
4. Bartel, B. Auxin biosynthesis. Annu. Rev. Plant Biol. 48, 51–66 (1997).
5. Finkel, O. M. et al. A single bacterial genus maintains root growth in a complex
microbiome. Nature 587, 103–108 (2020).
6. Spaepen, S. & Vanderleyden, J. Auxin and plant-microbe interactions. Cold Spring
Harbor Perspectives in Biology 3, a001438–a001438 (2011).
7. Zhang, P. et al. The Distribution of Tryptophan-Dependent Indole-3-Acetic Acid
Synthesis Pathways in Bacteria Unraveled by Large-Scale Genomic Analysis.
Molecules 24, 1411 (2019).
8. Wang, L. et al. Systematic characterization of plant-associated bacteria that can
degrade indole-3-acetic acid. PLoS Biol 22, e3002921 (2024).
9. Conway, J. M. et al. Diverse MarR bacterial regulators of auxin catabolism in the
plant microbiome. Nat. Microbiol. 7, 1817–1833 (2022).
10. Leveau, J. H. J. & Gerards, S. Discovery of a bacterial gene cluster for
catabolism of the plant hormone indole 3-acetic acid: Genes in pseudomonas putida
1290 for the degradation of IAA. FEMS Microbiology Ecology 65, 238–250 (2008).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
42
11. Scott, J. C., Greenhut, I. V. & Leveau, J. H. J. Functional characterization of the
bacterial iac genes for degradation of the plant hormone indole-3-acetic acid. J Chem
Ecol 39, 942–951 (2013).
12. Ma, Y. et al. Structural and biochemical characterization of the key components
of an auxin degradation operon from the rhizosphere bacterium Variovorax. PLoS
Biol. 21, e3002189 (2023).
13. Jensen, J. B., Egsgaard, H., Van Onckelen, H. & Jochimsen, B. U. Catabolism of
indole-3-acetic acid and 4- and 5-chloroindole-3-acetic acid in bradyrhizobium
japonicum. J Bacteriol 177, 5762–5766 (1995).
14. Fuchs, G., Boll, M. & Heider, J. Microbial degradation of aromatic compounds —
from one strategy to four. Nat. Rev. Microbiol. 9, 803–816 (2011).
15. Chakrabarty, S., Austin, R. N., Deng, D., Groves, J. T. & Lipscomb, J. D. Radical
intermediates in monooxygenase reactions of rieske dioxygenases. J. Am. Chem.
Soc. 129, 3514–3515 (2007).
16. Mondal, P., Rajapakse, S. & Wijeratne, G. B. Following nature’s footprint:
Mimicking the high-valent heme-oxo mediated indole monooxygenation reaction
landscape of heme enzymes. J. Am. Chem. Soc. 144, 3843–3854 (2022).
17. Shin, I., Nguyen, R. C., Montoya, S. R. & Liu, A. Structural insights into 2-
oxindole-forming monooxygenase MarE: Divergent architecture and substrate
positioning versus tryptophan dioxygenases. Journal of Biological Chemistry 301,
108241 (2025).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
43
18. Zhang, Y. et al. Characterization of 2-Oxindole Forming Heme Enzyme MarE,
Expanding the Functional Diversity of the Tryptophan Dioxygenase Superfamily. J.
Am. Chem. Soc. 139, 11887–11894 (2017).
19. Basran, J. et al. The mechanism of formation of N -formylkynurenine by heme
dioxygenases. J. Am. Chem. Soc. 133, 16251–16257 (2011).
20. Bai, Y. et al. Functional overlap of the Arabidopsis leaf and root microbiota.
Nature 528, 364–369 (2015).
21. Kovaleva, E. G. & Lipscomb, J. D. Versatility of biological non-heme fe(II) centers
in oxygen activation reactions. Nat Chem Biol 4, 186–193 (2008).
22. Shin, I., Wang, Y. & Liu, A. A new regime of heme-dependent aromatic
oxygenase superfamily. Proc. Natl. Acad. Sci. U.S.A. 118, e2106561118 (2021).
23. Thodberg, S. et al. A flavin-dependent monooxygenase catalyzes the initial step
in cyanogenic glycoside synthesis in ferns. Commun Biol 3, 507 (2020).
24. Wu, M. et al. The promiscuous flavin-dependent monooxygenase PboD from
aspergillus ustus increases the structural diversity of hydroxylated pyrroloindoline
diketopiperazines. J. Nat. Prod. 87, 1171–1178 (2024).
25. Li, S. et al. Biochemical characterization of NotB as an FAD-dependent oxidase
in the biosynthesis of notoamide indole alkaloids. J. Am. Chem. Soc. 134, 788–791
(2012).
26. Ferraro, D. J., Gakhar, L. & Ramaswamy, S. Rieske business: Structure–function
of Rieske non-heme oxygenases. Biochemical and Biophysical Research
Communications 338, 175–190 (2005).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
44
27. Duarte, M., Jauregui, R., Vilchez-Vargas, R., Junca, H. & Pieper, D. H.
AromaDeg, a novel database for phylogenomics of aerobic bacterial degradation of
aromatics. Database 2014, (2014).
28. Levy, A. et al. Genomic features of bacterial adaptation to plants. Nat. Genet. 50,
138–150 (2018).
29. Nagahama, K., Ogawa, T., Fujii, T. & Fukuda, H. Classification of ethylene-
producing bacteria in terms of biosynthetic pathways to ethylene. Journal of
Fermentation and Bioengineering 73, 1–5 (1992).
30. Arshad, M., Saleem, M. & Hussain, S. Perspectives of bacterial ACC deaminase
in phytoremediation. Trends in Biotechnology 25, 356–362 (2007).
31. Eckert, C. et al. Ethylene-forming enzyme and bioethylene production. Biotechnol
Biofuels 7, 33 (2014).
32. KVpczynska, E., Zielinska, S. & KVpczynski, J. Ethylene production by
agrobacterium rhizogenes strains in vitro and in vivo. Plant Growth Regulation 39,
13–17 (2003).
33. Primrose, S. B. Ethylene-forming bacteria from soil and water. Journal of General
Microbiology 97, 343–346 (1976).
34. Durán, P. et al. Microbial Interkingdom Interactions in Roots Promote Arabidopsis
Survival. Cell 175, 973-983.e14 (2018).
35. Qi, M. et al. Identification of beneficial and detrimental bacteria impacting
sorghum responses to drought using multi-scale and multi-system microbiome
comparisons. The ISME Journal 16, 1957–1969 (2022).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
45
36. Nolan, K. & Wang, Y. Combined spectroscopic and structural approaches to
explore the mechanism of histidine-ligated heme-dependent aromatic oxygenases. in
Methods
in Enzymology vol. 685 405–432 (Elsevier, 2023).
37. Nelp, M. T., Zheng, V., Davis, K. M., Stiefel, W. K. J. & Groves, J. T. Potent
activation of indoleamine 2,3-dioxygenase by polysulfides. J. Am. Chem. Soc. 141,
15288–15300 (2019).
38. Floriano, B., Santero, E. & Reyes-Ramírez, F. Biodegradation of tetralin:
Genomics, gene function and regulation. Genes 10, 339 (2019).
39. Hamad, M. A., Zajdowicz, S. L., Holmes, R. K. & Voskuil, M. I. An allelic
exchange system for compliant genetic manipulation of the select agents
burkholderia pseudomallei and burkholderia mallei. Gene 430, 123–131 (2009).
40. Zhang, J. et al. High-throughput cultivation and identification of bacteria from the
plant root microbiota. Nat. Protoc. 16, 988–1012 (2021).
41. Kovach, M. E. et al. Four new derivatives of the broad-host-range cloning vector
pBBR1MCS, carrying different antibiotic-resistance cassettes. Gene 166, 175–176
(1995).
42. Chambers, M. C. et al. A cross-platform toolkit for mass spectrometry and
proteomics. Nat Biotechnol 30, 918–920 (2012).
43. Su, X., Lu, W. & Rabinowitz, J. D. Metabolite spectral accuracy on orbitraps.
Anal. Chem. 89, 5940–5948 (2017).
44. Studier, F. W. Protein production by auto-induction in high-density shaking
cultures. Protein Expression and Purification 41, 207–234 (2005).
45. Kabsch, W. XDS. Acta Crystallogr D Biol Crystallogr 66, 125–132 (2010).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
46
46. Evans, P. R. & Murshudov, G. N. How good are my data and what is the
resolution? Acta Crystallogr D Biol Crystallogr 69, 1204–1214 (2013).
47. McCoy, A. J. et al. Phaser crystallographic software. J Appl Crystallogr 40, 658–
674 (2007).
48. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development
of coot. Acta Crystallogr D Biol Crystallogr 66, 486–501 (2010).
49. Adams, P. D. et al. PHENIX/i2 : A comprehensive python-based system for
macromolecular structure solution. Acta Crystallogr D Biol Crystallogr 66, 213–221
(2010).
50. Liu, H. et al. Constitutive activation of a nuclear-localized calcium channel
complex in medicago truncatula. Proc. Natl. Acad. Sci. U.S.A. 119, e2205920119
(2022).
51. Feng, F. et al. A combination of chitooligosaccharide and
lipochitooligosaccharide recognition promotes arbuscular mycorrhizal associations in
medicago truncatula. Nat Commun 10, 5047 (2019).
52. Bulgarelli, D. et al. Revealing structure and assembly cues for Arabidopsis root-
inhabiting bacterial microbiota. Nature 488, 91–95 (2012).
53. Huang, A. C. et al. A specialized metabolic network selectively modulates
Arabidopsis root microbiota. Science 364, eaau6389 (2019).
54. Bolyen, E. et al. Author correction: Reproducible, interactive, scalable and
extensible microbiome data science using QIIME 2. Nat Biotechnol 37, 1091–1091
(2019).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
47
55. Martin, M. Cutadapt removes adapter sequences from high-throughput
sequencing reads. EMBnet j. 17, 10 (2011).
56. Callahan, B. J. et al. DADA2: High-resolution sample inference from illumina
amplicon data. Nat Methods 13, 581–583 (2016).
57. Pedregosa, F. et al. Scikit-learn: Machine learning in python. MACHINE
LEARNING IN PYTHON.
58. Oksanen, J. et al. vegan: Community ecology package. 2.6-10
https://doi.org/10.32614/CRAN.package.vegan (2001).
59. Raivo Kolde. pheatmap: Pretty heatmaps. 1.0.12
https://doi.org/10.32614/CRAN.package.pheatmap (2010).
.CC-BY 4.0 International licenseavailable 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 made
The copyright holder for this preprintthis version posted October 26, 2025. ; https://doi.org/10.1101/2025.10.25.684584doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.