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000856.v3
10.1099/acmi.0.000856.v3
Research Article
Evolution
Genomic Sequencing
Genomics
Genomic insights into indole-3-acetic acid catabolism in the marine algae-associated bacterium, Marinomonas sp. NFXS50
Bertrand Constança 12constanca.bertrand@ibet.pt

Martins Rodrigo 12rodrigo.martins@ibet.pt

Nunes Francisco 12francisco.nunes@ibet.pt

Brandão Pedro 12pedro.brandao@ibet.pt

http://orcid.org/0000-0003-1184-3794
Nascimento Francisco X. 12*francisco.nascimento@ibet.pt

1 iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901 Oeiras, Portugal
2 ITQB NOVA, Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157 Oeiras, Portugal
The authors declare that there are no conflicts of interest.

Francisco X.Nascimento, francisco.nascimento@ibet.pt
2024
04 9 2024
6 9 000856.v331 5 2024
02 8 2024
Copyright © 2024 The Authors
2024
https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License.

Abstract

Auxins, mainly in the form of indole-3-acetic acid (IAA), regulate several aspects of plant and algal growth and development. Consequently, plant and algae-associated bacteria developed the ability to modulate IAA levels, including IAA catabolism. In this work, we present and analyse the genome sequence of the IAA-degrading and marine algae-associated bacterium, Marinomonas sp. NFXS50, analyse its IAA catabolism gene cluster and study the prevalence of IAA catabolism genes in other Marinomonas genomes. Our findings revealed the presence of homologs of the Pseudomonas iac gene cluster, implicated in IAA catabolism, in the genome of strain NFXS50; however, differences were observed in the content and organization of the Marinomonas iac gene cluster when compared to that of the model iac-containing Pseudomonas putida 1290. These variations suggest potential adaptations in the IAA catabolism pathway, possibly influenced by substrate availability and evolutionary factors. The prevalence of iac genes across several Marinomonas species underscores the significance of IAA catabolism in marine environments, potentially influencing plant/algae-bacteria interactions. This study provides novel insights into the IAA catabolism in Marinomonas, laying the groundwork for future investigations into the role of iac genes in Marinomonas physiology and the regulation of marine plant/algae-bacteria interactions.

algae
indole-3-acetic acid
marine
Marinomonas
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pmcData Summary

The Marinomonas sp. NFXS50 (CT5) genome assembly accessed in the National Center for Biotechnology Information(NCBI) database under the GCF_018336975.1 accession number (https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_018336975.1/)

The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

Introduction

Phytohormones such as auxins, mainly in the form of indole-3-acetic acid (IAA), are known regulators of plant and algae growth and development. In higher plants, IAA is responsible for the regulation of a wide range of physiological and developmental processes, including root and shoot development, the symbiotic nodulation process and plant biotic and abiotic defence responses [12]. In algae (both macro and microalgae), IAA influences a range of physiological and developmental processes, including algal growth regulation, morphogenesis, reproduction and stress responses [34]. As a result of the vital role of IAA in shaping plant and algae development, their associated bacterial communities have evolved intricate ways to manipulate IAA levels. In this sense, several plant/algae-associated bacteria are known to synthesize and exude IAA, influencing several aspects of plant/algae-microbe interactions [58]. Moreover, recent works have also demonstrated the presence and impact of plant-associated bacteria presenting IAA catabolism activities in shaping plant development and plant-microbe interactions [911]. While the beneficial effects of IAA-producing bacteria in plant/algae growth are well documented, not much is understood regarding the prevalence or effects of IAA-degrading bacteria in plant and algal growth and development.

Previous studies have identified the genetic mechanisms involved in the bacterial ability to catabolize IAA and use it as the sole carbon source, which is mainly accomplished by the expression of the iac (IAA catabolism) gene cluster [12]. The iac cluster was first described in the plant-associated bacterium, Pseudomonas putida 1290 [13], and encodes enzymes responsible for the aerobic conversion of IAA to catechol. Functional iac clusters were also identified in other plant/soil-associated bacteria such as Paraburkholderia phytofirmans PsJN, Enterobacter soli LF7 and Caballeronia glathei DSM50014 [11,1316]. Despite the similarity between the iac genes found in these bacteria, the iac gene cluster organization and composition may vary depending on the bacterial strain [1116]. Moreover, functional studies have shown the relevance of iac genes in the bacterial modulation of plant IAA levels, and its effects on plant development [1113].

Interestingly, a functional iac gene cluster was also found in the marine bacterium, Marinomonas sp. MWYL1 [13]. Members of the Marinomonas genus (Gammaproteobacteria, Oceanospirilaceae) are usually found in marine environments in association with marine plants and algae [1718]. The presence of iac genes in Marinomonas suggests an important role for IAA degradation in the marine environment and in the regulation of the interactions occurring between plants/algae and its associated bacteria. Thus, in an effort to study the role of IAA degradation in marine environments, we have isolated several marine micro-organisms capable of using IAA as the sole carbon source, including Marinomonas sp. NFXS50 (CT5). This bacterial strain was found associated with the marine algae, Codium tomentosum, obtained from Portuguese coastal seawater, and was capable of using IAA as the sole carbon source (Nascimento et al. unpublished results). In this work, we present and analyse the genome sequence of Marinomonas sp. NFXS50 and describe its iac gene cluster homolog involved in IAA catabolism. Moreover, we demonstrate and discuss the prevalence of the IAA catabolism gene cluster in other members of the Marinomonas genus and its potential role in the modulation of algae auxin levels and algae growth.

Methods

Genome sequencing and analysis

The genome sequencing of strain NFXS50 was conducted following genomic DNA extraction from an overnight culture grown in Tryptic Soy Broth supplemented with 3% NaCl at 26 °C, using the GenElute bacterial genomic DNA kit (Sigma-Aldrich) according to the manufacturer’s instructions. The genomic library was constructed using the Illumina TruSeq DNA Nano kit and was sequenced using the Illumina’s MiSeq platform and the Illumina’s MiSeq v.3 reagent kit (2×300 bp), generating a total of 937 890 reads. The initial de novo genome assembly was performed using SOAPdenovo2 r240 [19]. The final 4 761  082 bp genome sequence of strain NFXS50 was constructed based on a guided assembly against the genome sequence of Marinomonas sp. MWYL1 (GenBank accession no. CP000749.1) using MAUVE v.2.4.0 progressive alignments [20]. The contigs were joined by introducing runs of 100 Ns in the identified assembly gap regions, as indicated in the NCBI submission guidelines (https://www.ncbi.nlm.nih.gov/genbank/wgs_gapped/). The genome annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline v.4.3 (6). The functional annotation of strain NFXS50 genome was conducted using BlastKOALA [21]. Secondary metabolite production clusters were predicted using antiSMASH v.7.1 [22]. Genome maps and analysis were conducted using Proksee [23] and its associated applications, including FastANI [24].

Comparative analysis of Marinomonas sp. NFXS50 IAA catabolism genes

The IAA catabolism genes of Marinomonas sp. NFXS50 were identified based on standard blast analysis using the P. putida 1290 (GenBank accession no: EU360594) and Marinomonas sp. MWYL1 iac clusters [13] as query. The Marinomonas sp. NFXS50 iac gene cluster was then extracted and analysed using the Geneious software [25]. Comparative analysis of iac genes and Iac protein sequences was conducted using blast (standard parameters). Multiple alignments between Marinomonas sp. NFXS50 and Marinomonas sp. MWYL1 iac clusters were performed using muscle [26].

Analysis of the prevalence of iac genes in Marinomonas genomes

To understand the prevalence of iac gene clusters in the Marinomonas genus, the available genomes of Marinomonas strains were downloaded from the NCBI database (https://www.ncbi.nlm.nih.gov/datasets/genome/?taxon=28253) and analysed. A total of 57 unique Refseq-annotated Marinomonas genomes and proteomes (downloaded in April 2024) were obtained and used as reference in standard BLASTp searchers, using the Marinomonas sp. MWYL1 Iac protein sequences as the query.

A phylogenetic analysis based on Marinomonas rpoB (DNA-directed RNA polymerase subunit beta) genes was constructed to ascertain the phylogenies of the different Marinomonas strains and compare the prevalence of iac genes in different Marinomonas species. The rpoB gene was extracted and aligned using muscle v.3.5 [26]. The phylogenetic analysis based on rpoB was conducted in mega X [27], using the maximum likelihood method, the GTR+G+I model and a bootstrap analysis of 100 replicates.

Results

Marinomonas sp. NFXS50 genome main features

The genome of Marinomonas sp. NFXS50 is composed by a single circular chromosome of 4.76 Mbp in length with an average GC content of 42.7% (Fig. 1a). A total of 4523 open reading frames were predicted, in which 4387 corresponded to protein-coding sequences (CDSs). A total of 90 RNA-related genes were also detected.

Fig. 1. (a) Schematic representation of the Marinomonas sp. NFXS50 chromosome, and its similarity to the chromosome of Marinomonas sp. MWYL1 (blast analysis). (b) Alignment and identity of Marinomonas sp. MWYL1 (CP000749.1) and Marinomonas sp. NFXS50 (CP025572.1) genomes obtained through FastANI analysis.

BlastKOALA analysis resulted in the functional annotation of 2525 CDSs (58.1%) in which environmental (350) and genetic (312) information processing functions were assigned for most of the annotated CDSs, followed by carbohydrate (234) and amino acid (206) metabolism. The sec, tat, type I and type II secretion systems were detected in the chromosome of strain NFXS50. The genes encoding the assimilatory sulphate and nitrate reduction pathways were also present in the genome. The analysis conducted in antiSMASH revealed the presence of gene clusters involved in the production of ectoine, one siderophore and two bacteriocins.

Comparative genomic analysis showed that the genomes of Marinomonas sp. NFXS50 and Marinomonas sp. MWYL1 were highly syntenic (Fig. 1a, b) and presented anAverage Nucleotide Identity (ANI) value of 84.57%. Moreover, BLASTn analysis showed that 4184 from 4387 Marinomonas sp. NFXS50 genes were also detected in the genome of Marinomonas sp. MWYL1 (Fig. 1a).

Analysis of Marinomonas sp. NFXS50 indole-3-acetic catabolism cluster

Homologs of the iac gene cluster were detected in the genome sequence of Marinomonas sp. NFXS50 (Table 1, Fig. 2). The strain NFXS50 iac gene cluster was highly similar (85.7%) to that of the described IAA-degrading bacterium, Marinomonas sp. MWYL1 (Fig. 2).

Table 1. Comparative analysis of the Marinomonas sp. NFXS50 iac gene cluster. The identity values correspond to the analysis based on the protein sequences

Locus tag	Product	Gene name	Marinomonas sp. MWYL1	Pseudomonas putida 1290	
C0J08_14215	MarR family transcriptional regulator	iacR	MMWYL1_RS09225, 95.0%	ABY62764.1, 59%	
C0J08_14210	Class II aldolase	–	MMWYL1_RS09230, 96.4%	n.f.	
C0J08_14205	2-Dehydropantoate 2-reductase	–	MMWYL1_RS09235, 89.7%	n.f	
C0J08_14200	ABC transporter ATP-binding protein	–	MMWYL1_RS092540, 96.0%	n.f	
C0J08_14195	Metal-dependent hydrolase	–	MMWYL1_RS09245, 95.5%	n.f	
C0J08_14190	Branched-chain amino acid ABC transporter permease	–	MMWYL1_RS09250, 95.1%	n.f	
C0J08_14185	Branched-chain amino acid ABC transporter substrate-binding protein	–	MMWYL1_RS09255, 94.0%	n.f	
C0J08_14180	Acyl-CoA dehydrogenase	iacA	MMWYL1_RS09260, 80.9%	ABY62757.1, 62.6%	
C0J08_14175	IacB protein	iacB	MMWYL1_RS09265, 98.3%	ABY62758.1, 78.3 %	
C0J08_14170	Polyketide cyclase	iacI	MMWYL1_RS09270, 93.6%	ABY62766.1, 62.2%	
C0J08_14165	Rieske (2Fe-2S) protein	iacC	MMWYL1_RS09275, 96.5%	ABY62759.1, 65.7%	
C0J08_14160	Hypothetical protein	iacD	MMWYL1_RS09280, 93.1%	ABY62760.1, 48.1%	
C0J08_14155	3-Oxoacyl-ACP reductase	iacE	MMWYL1_RS09285, 98.4%	ABY62761.1, 67.3%	
C0J08_14150	Oxidoreductase	iacF	MMWYL1_RS09290, 95.9%	ABY62762.1, 61.8%	
C0J08_14145	Flavin reductase	iacG	MMWYL1_RS09295, 98.8%	ABY62763.1, 62.8%	
C0J08_14140	Alpha-hydroxy-acid oxidizing enzyme	–	MMWYL1_RS09300, 96.1%	n.f.	
C0J08_14135	Amidase	iacH	MMWYL1_RS09305, 92.5%	ABY62765.1, 28.6%	
n.f.not found

Fig. 2. Representation of Marinomonas sp. MWYL1 and Marinomonas sp. NFXS50 iac gene clusters and their overall alignment identity (85.7%).

Moreover, both clusters presented a similar organization composed by iacR, followed by a cluster containing an aldolase, reductase and amino acid transport genes of unknown function, and finally, the iacABICDEFG, an unknown gene and a iacH gene homolog. This gene organization was different from that observed in the P. putida 1290 iac gene cluster (iacABCDEFGRHI), as previously described [13]. Despite the different organization, most of the NFX50 iac genes and its corresponding protein sequences presented high homology to the P. putida 1290 Iac proteins (Table 1). One exception was the Marinomonas sp. NFXS50 IacH homolog, which only presented 28.6% identity to the IacH protein of P. putida 1290. Despite belonging to the same family (amidase), these proteins presented different sizes (Marinomonas sp. NFXS50, 429 aa vs P. putida 1290, 374 aa) and overall characteristics.

Moreover, the NFXS50 gene (C0J08_14140, iac?) found in the upstream region of the iacH homolog was not detected in the P. putida 1290 iac gene cluster. This gene encoded an alpha-hydroxy acid dehydrogenase family enzyme, presenting similarity with bacterial l-lactate dehydrogenase.

Genomic analysis also revealed the presence of the catechol-1-dioxygenase (C0J08_07140), muconolactone delta-isomerase (C0J08_07135), muconate cycloisomerase (C0J08_07130), 3-oxoadipate CoA-transferase (C0J08_07105–10) and beta-ketoadipyl-CoA thiolase (C0J08_07100) genes in the chromosome of Marinomonas sp. NFXS50, consistent with the IAA degradation pathway via catechol.

Prevalence of IAA catabolism genes in Marinomonas genomes

blast analysis revealed the presence of iac gene homologs in 15 of the 57 Marinomonas genomes studied (Fig. 3).

Fig. 3. Phylogram based on the Marinomonas rpoB gene (housekeeping). Blue circles in front of strain names indicate the presence of the iac gene cluster. The tree was constructed using the maximum likelihood method, the GTR+G+I model and a bootstrap analysis of 100 replicates. The tree is rooted at the midpoint.

The iac gene-containing Marinomonas belonged to different species (Fig. 3), including M. spartinae, M. mediterranea, M. balearica, M. piezotolerans, M. transparens and M. polaris. The iac gene clusters identified in the different Marinomonas strains shared an overall pairwise identity of 71.2%.

Interestingly, the Marinomonas iac gene alignments showed that some strains present different iac gene cluster organization. Overall, the Marinomonas iac gene cluster is mostly similar to that described in strains MWYL1 and NFXS50 (Fig. 2); however, some strains lack the gene encoding the alpha-hydroxy acid dehydrogenase family enzyme (iac?) in the vicinity of the iacH homolog. This was the case of M. mediterranea (MMB-1, GCF_000192865.1; MMB-2, GCF_028472805.1; MMB-3, GCF_028472785.1), M. balearica (CECT7378, GCF_004362145.1), M. piezotolerans (YLB-05, GCF_003362755.1), M. transparens (C1424, GCF_016463975.1) and M. spartinae (CECT8886, GCF_900089775.1; CECT8887, GCF_900089745.1; USM8, GCF_016461715.1) strains.

Discussion

In this work, we presented and analysed the genome sequence of the IAA-degrading Marinomonas sp. NFXS50. The analysis revealed that strain NFXS50 harbours homologs of the iac gene cluster involved in the catabolism of IAA. This result is consistent with previous findings which described the presence of a functional iac gene cluster in Marinomonas sp. MWYL1 [13]. Comparative analysis showed that Marinomonas sp. NFXS50 and Marinomonas sp. MWYL1 iac gene clusters presented a similar organization and overall identity (85.7%). Nonetheless, the analysis also revealed that the functional Marinomonas iac gene cluster presents a different content and organization from that of other iac-containing organisms such as P. putida 1290 (iacABCDEFGRHI) [13]. In this sense, the Marinomonas iacR gene, encoding a MarR type transcriptional regulator, was found next to a gene cluster of unknown function that preceded the iacABICDEFG cluster. In addition, a gene encoding an alpha-hydroxy acid dehydrogenase family enzyme (iac?) and a homolog of the iacH gene were detected downstream of the other iac genes. Previous works have described the different organization of iac genes in distinct bacterial strains [1316], suggesting different IAA catabolism pathway adaptations related to substrate availability and possibly phylogenetic and evolutionary aspects (e.g. horizontal gene transfer, recombination and genome rearrangements).

Our results also showed that iac genes are prevalent in several Marinomonas species, with the iac gene cluster appearing to be somewhat conserved between the different strains. An exception to this observation was linked to the absence of alpha-hydroxy acid dehydrogenase family enzyme encoding gene (iac?) in some of the Marinomonas species. The presence of this gene in the iac cluster was clearly linked to the observed Marinomonas phylogeny, suggesting that evolutionary aspects shaped the iac gene cluster content of these strains. Nonetheless, the alpha-hydroxy acid dehydrogenase family enzyme encoding gene was also not found in the Pseudomonas iac gene cluster, further suggesting that it is not necessary for the functional IAA catabolism activities.

Curiously, the Marinomonas iacH gene homolog presented a very low identity (28.6%) to that of Pseudomonas. While encoding an amidase family enzyme, not much is understood about the role of iacH in IAA catabolism. Still, it is possible that iacH functions in the release of ammonia from an intermediate of the IAA catabolism pathway [12], allowing the producing strain to use IAA as a nitrogen source. In this way, the unusual Marinomonas iacH and iac gene organization may reflect its adaptations to IAA catabolism in marine environments. Still, more studies are necessary to unveil the specific function of the Marinomonas iac genes in IAA catabolism.

Previous studies have shown that iac genes played a role in the capabilities of P. putida 1290 and P. phytofirmans PsJN to interact with plants [1113]. The prevalence of iac genes in Marinomonas indicates that IAA catabolism is also of relevance in the marine environment. Marinomonas strains carrying iac genes were isolated from seagrass (i.e. M. spartinae, M. balearica, MWYL1) and algae (i.e. M. transparens, NFXS50, GJ51-6), further suggesting that IAA catabolism may impact plant/algae-bacteria interactions in marine environments. This is consistent with the important role of IAA in plant and algae development [14]. The Marinomonas ability to catabolize IAA suggests that these strains are key players in the positive modulation of marine plant and algae growth and development.

Ultimately, the results obtained in this work bring new insights into the IAA catabolism in Marinomonas and pave the way for novel mechanistic studies about the role of the iac genes in Marinomonas physiology as well in the regulation of marine plant/algae-bacteria interactions.

Acknowledgements

C.B., R.M., F.N. and P.B. acknowledge receiving a Ph.D. fellowship (2023.02799.BD, 2023.02007.BD, 2022.10633.BD; 2021.07927.BD514, respectively) funded by FCT/MCTES.

Abbreviations

CDSs coding sequences

IAA indole-3-acetic acid

NCBI National Center for Biotechnology Information

Funding: The research was conducted in the scope of the project ‘PhycoμBiome: Understanding and harnessing the power of the microalgae microbiome aiming the maximization of marine microalgae productivity’ funded by Fundação para a Ciência e Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES, Portugal), grant number PTDC/BAA-BIO/1262/2020 (http://doi.org/10.54499/PTDC/BAA-BIO/1262/2020). The research was performed with the support of the R and D Unit ‘GREEN-IT - Bioresources for Sustainability’ (UIDB/04551/2020, DOI: 10.54499/UIDB/04551/2020 and UIDP/04551/2020, DOI: 10.54499/UIDP/04551/2020) and LS4FUTURE Associated Laboratory (LA/P/0087/2020, DOI: 10.54499/LA/P/0087/2020) funded by FCT/MCTES.

Accession No: The Marinomonas sp. NFXS50 (CT5) genome assembly can be found in the NCBI database under the GCF_018336975.1 accession number.

Author contributions: C.B.: investigation, formal analysis, writing – original draft; R.M.: investigation, formal analysis, writing – original draft; F.N.: investigation, formal analysis; P.B.: investigation, formal analysis; F.X.N.: conceptualization, resources, supervision, project administration, funding acquisition, writing – review and editing.
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