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Article

Isolation and Characterization of a Novel Sulfur-Oxidizing Stutzerimonas Species from Hydrothermal Sediments and Its Adaptation to the Hydrothermal Environment

1
School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China
2
State Key Laboratory of Submarine Geoscience, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
3
Ocean College, Zhejiang University, Zhoushan 316021, China
4
National Deep Sea Center, Qingdao 266237, China
*
Author to whom correspondence should be addressed.
Microorganisms 2026, 14(2), 466; https://doi.org/10.3390/microorganisms14020466
Submission received: 9 January 2026 / Revised: 6 February 2026 / Accepted: 10 February 2026 / Published: 14 February 2026
(This article belongs to the Section Environmental Microbiology)

Abstract

Stutzerimonas, a genus newly separated from the Pseudomonadaceae family in 2022, has attracted considerable attention due to its diverse metabolic capabilities and environmental adaptability. However, the mechanisms underlying its sulfur-oxidizing capacity and survival strategies in extreme environments remain poorly understood. Clarifying potential sulfur-oxidizing microbial groups contributes to a more accurate understanding of energy flow and elemental cycling in hydrothermal ecosystems. In this study, we isolated and identified a sulfur-oxidizing strain, designated 381-2T, from sediments in the Tianxiu hydrothermal field of the northwest Indian Ocean, and proposed it as a new species of Stutzerimonas. Physiological characterizations demonstrated that strain 381-2T could oxidize thiosulfate to tetrathionate and encoded the key sulfur oxidation gene tsdA. Cultivation with sulfide minerals showed that strain 381-2T could influence sulfide mineral weathering through metabolic activities, such as pH regulation, and potentially promote the reprecipitation of metal ions on the microbial surface. Comparative genomic analysis of 322 Stutzerimonas genomes further revealed the widespread presence of the tsdA gene and metal resistance genes, suggesting potential adaptive strategies for survival in hydrothermal environments. This study expands the understanding of Stutzerimonas species and provides insights into their ecological roles in hydrothermal systems.

1. Introduction

Deep-sea hydrothermal vent ecosystems represent one of the most unique habitats on Earth [1,2]. In these sulfide-rich environments, the oxidation of reduced sulfides is a primary energy source for microbial communities [3,4,5,6]. Sulfur-oxidizing microorganisms utilize these reduced sulfides from hydrothermal fluids, playing a crucial role in driving the global sulfur cycle [7,8,9]. Therefore, understanding the diversity and metabolic versatility of these microorganisms in deep-sea ecosystems is essential for elucidating the microbially mediated processes of elemental cycling and mineral formation in such a distinctive habitat.
Diverse pathways involved in the oxidation of sulfur compounds were discovered [10,11,12]. In the S4I pathway, thiosulfate is not directly oxidized to sulfate. Instead, it is first converted to the intermediate tetrathionate (S4O62−) through an oxidative coupling reaction [13,14]. This pathway is widespread in many chemoautotrophs, mainly bacteria in the classes Betaproteobacteria and Gammaproteobacteria [15,16]. In chemolithoautotrophic sulfur-oxidizing bacteria (SOBs), several key enzymes that catalyze tetrathionate formation have been identified and characterized, including thiosulfate: quinol oxidoreductase (DoxDA) and thiosulfate dehydrogenase (TsdA) [17,18,19,20]. Among these, TsdA is a cytochrome c-type dehydrogenase with a high affinity for thiosulfate [21]. However, the ability of heterotrophic microorganisms to oxidize thiosulfate to tetrathionate has often been overlooked. Recently, Du et al. [22] investigated the genome and sulfur metabolic capabilities of a heterotrophic Halomonas strain isolated from a hydrothermal environment. Their study demonstrated that this strain encodes TsdA, which oxidizes thiosulfate to tetrathionate, and utilizes thiosulfate as a supplementary inorganic energy source, thereby actively participating in the sulfur cycle.
Stutzerimonas was proposed in 2022 by Lalucat et al. [23] to belong to the family Pseudomonadaceae, based on genome-based taxonomy. This genus currently includes 16 validly named species [24], which are widely distributed in saline–alkali soils [25], contaminated marine sediments [26], and deep-sea sediments of the Mariana Trench [27]. Most strains show potential for pollutant degradation and nitrate reduction [25,26]. However, few studies have focused on their sulfur-oxidizing capacity, and their adaptation mechanisms to extreme deep-sea hydrothermal environments remain unclear, which limits our knowledge of the genetic basis underlying their environmental adaptation.
The Tianxiu hydrothermal field is the first ultramafic-hosted hydrothermal system identified in the northwest Indian Ocean, located on the slow-spreading Carlsberg Ridge [28]. In this study, a heterotrophic sulfur-oxidizing bacterium was isolated from the Tianxiu hydrothermal sediment. Polyphasic taxonomic analyses indicated that this strain, designated as 381-2T, represents a novel species of the genus Stutzerimonas. Cultivation in the presence of minerals suggests its potential role in promoting mineral weathering processes. Comparative genomic analyses further reveal adaptation strategies of Stutzerimonas to the hydrothermal environment, including the capacity for sulfur oxidation.

2. Materials and Methods

2.1. Sampling and Mineralogical Analysis

The sediment sample BC12 used in this study was collected from the Tianxiu hydrothermal field on the Carlsberg Ridge in the northwest Indian Ocean (Figure 1). It was obtained using a box corer during the Chinese Ocean Science Expedition Cruise 72 (DY72) in June 2022. The sampling site is located at 3.691895° N, 63.831765° E, with a water depth of 3400 m.
The sediment samples were freeze-dried and subsequently ground to a particle size of less than 75 μm (200 mesh). Elemental analysis was performed using X-ray fluorescence (XRF) on an Epsilon 1 instrument (PANalytical, Almelo, The Netherlands), with results reported in oxide form. To determine the mineral composition, X-ray diffraction (XRD) analysis was conducted using a Bruker D8 Discover instrument (Bruker, Karlsruhe, Germany), equipped with a Cu Kα target, operating at 42 kV and 100 mA. The analysis covered a 2θ range of 5–80°, with a step size of 0.02° and a scan speed of 0.2 s/step. All XRD experiments were carried out at the Analytical and Testing Center of Zhejiang University (Hangzhou, China).

2.2. Strain Isolation, Cultivation, and Preservation

The sediment sample was immediately suspended in sterile seawater onboard. Ten-fold serial dilutions were then prepared, and 200 μL of the dilution was spread onto SOB selective agar plates. The plates were incubated at ambient temperature until they were transferred to the onshore laboratory (approximately 28 °C). The SOB selective medium was modified from the artificial seawater (ASW) medium described by Wentzien et al. [29] and had the following composition per liter: 1 L filtered seawater, 0.4 g NH4Cl, 0.2 g NaHCO3, 0.001 g FeSO4·7H2O, 0.1 g KH2PO4, 3 g Na2S2O3·5H2O, 1 mL of 1000× trace element solution, 1 mL of 1000× vitamin solution, and 0.004 g phenol red as a pH indicator. The medium was adjusted to pH 7.0. Na2S2O3·5H2O, the vitamin solution, and the trace element stock solution were filter-sterilized through 0.22 μm membranes, while the remaining components were autoclaved at 121 °C for 20 min. The solid medium was prepared by supplementing the above mixture with 1.5% (w/v) agar powder. The compositions of the 1000× trace element solution and the 1000× vitamin mix were prepared according to established protocols [30].
The 16S rRNA gene sequence was amplified under the conditions described by Xu et al. [31], using universal bacterial primers 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) and 1492R (5′-GGYTACCTTGTTACTT-3′). The 16S rRNA gene was sequenced by Sangon Biotech (Shanghai) Co., Ltd., Shanghai, China, utilizing Sanger sequencing on an Applied Biosystems (ABI) DNA 3730 XL sequencer(Applied Biosystems, Foster, CA, USA). The 16S rRNA gene sequence similarity between the strains and reference strains was analyzed using the EzBioCloud online server (www.ezbiocloud.net/identify, accessed on 7 November 2025) [32]. The strains were stored long-term at −80 °C in 25% (v/v) glycerol.

2.3. Thiosulfate Oxidation of Strain 381-2T

The sulfur-oxidizing capacity of strain 381-2T was detected in modified MMT medium [22] supplemented with and without 10 mM Na2S2O3 as the sole sulfur source. The composition of modified MMT medium per liter was as follows: 23.0 g NaCl, 0.5 g NH4Cl, 0.1 g CaCl2·2H2O, 0.5 g K2HPO4, 0.4 g MgCl2, 0.8 g CH3COONa, 0.2 g yeast extract, 1 mL of 1000× trace element solution, and 1 mL of 1000× vitamin solution. The pH was adjusted to 7.0. Bacterial growth was monitored by measuring the optical density at 600 nm using a GENESYS 50 UV–Visible Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). The concentration of Na2S2O3 in the culture medium was determined by indirect iodometric titration [33,34], and the consumption of thiosulfate was used as an indicator for evaluating the sulfur-oxidizing capacity of the strain. Sulfur oxidation products were analyzed using Arc HPLC (Waters, Milford, MA, USA) equipped with a Syncronis C18 column (250 mm × 4.6 mm, 5 μm) (Thermo Scientific, Waltham, MA, USA). The column was eluted with 50 mM KH2PO4 (pH adjusted to 2.68 with phosphoric acid) at a flow rate of 0.5 mL/min, and product peaks were identified by UV detection at 215 nm. The chromatographic conditions followed the method described by Zhang et al. [33].

2.4. Microbe–Mineral Interaction Experiments of Strain 381-2T and Sulfide Minerals

Pyrite (FeS2), sphalerite (ZnS), and pyrrhotite (Fe1−xS) powders, which are common sulfide minerals in hydrothermal environments, were used as mineral substrates. Filtered seawater was employed as the culture medium with an initial pH of 7.0. Strain 381-2T was inoculated into the mineral-containing culture medium, and the uninoculated mineral medium was set as the abiotic control. All cultures were statically incubated at 28 °C for two months. After incubation, the final pH of each culture system was determined, and the morphological changes in sulfide minerals were examined by scanning electron microscopy (SEM). Sulfide mineral particles were observed using a Zeiss Ultra 55 SEM (Zeiss, Oberkochen, Germany) equipped with an energy-dispersive X-ray spectrometer (EDS, Oxford Instruments, Abingdon, UK, Inca X-Max 20, model No. 51-XMX0004) at an accelerating voltage of 15 kV. Prior to SEM-EDS analysis, all samples were sputter-coated with a conductive film of platinum.

2.5. Phylogenetic Affiliation

The 16S rRNA gene phylogenetic tree of strain 381-2T was reconstructed using MEGA v12 [35]. Specifically, the 16S rRNA gene sequences of the 30 most closely related and validly published strains were obtained from the EzBioCloud web server and aligned using Clustal W v2.0 [36]. The phylogenetic tree was then constructed using both the neighbor-joining and maximum-likelihood methods, applying the Kimura two-parameter nucleotide substitution model and 1000 bootstrap replications. The phylogenetic tree was constructed using the full-length 16S rRNA gene sequences of each species.
The maximum-likelihood phylogenetic tree of strain 381-2T and its closely related Stutzerimonas reference strains was reconstructed based on 120 bacterial marker genes identified using GTDB-tk v2.4.1 [37]. The tree was built using IQ-TREE v2.2.5 [38] with the parameters “-bb 1000 -MFP” and the best-fit amino acid model Q.insect+F+I+R3. The tree was visualized using tvBOT version 2.6.1 (https://chiplot.online/tvbot.html, accessed on 27 October 2025) [39]. The 16S rRNA gene (accession number: CP000934) and genome (accession number: GCF_000019225.1) of the outgroup Cellvibrio japonicus Ueda107T were obtained from the NCBI GenBank database.

2.6. Distribution of Strain 381-2T in Global Marine Environments

To investigate the global distribution of strain 381-2T, the full-length 16S rRNA gene sequence was queried against the Sequence Read Archive (SRA) using the Integrated Microbial Next Generation Sequencing (IMNGS) platform, with a sequence identity threshold of 99% [40,41]. Marine-associated datasets were processed as follows: (1) filtering based on NCBI registration and habitat information; (2) removing duplicates using Batch Entrez; and (3) extracting latitude and longitude coordinates [42].

2.7. Determination of Phenotypic Characteristics

Cell morphology and size were examined using transmission electron microscopy (TEM, JEM-1400Flash HC, JEOL Ltd., Okinawa, Japan) after incubating strain 381-2T on the MB agar plate at 28 °C for three days. Gram staining was performed following standard protocols [43]. The temperature range for growth was assessed by incubating cultures at 4, 10, 15, 20, 25, 28, 30, 37, 40, and 45 °C. The pH range for growth was tested across 16 pH values: 3.0, 4.0, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 11.0, 12.0, and 13.0. Different buffer solutions were used: 0.1 M citrate-citrate sodium buffer for pH 3.0–4.0; 40 mM MES for pH 5.0–6.0; 40 mM HEPES for pH 6.5–7.0; 40 mM Tricine for pH 7.5–8.5; and 40 mM CHES for pH 9.0–13.0. Growth in NaCl concentrations ranging from 0 to 12.0% (w/v, with 0.5% increments) was evaluated in sodium-free MB, as described by Zhang et al. [44]. Hydrolytic activities toward starch, Tween 20, and Tween 80 were determined following the methods described by Xu et al. [45]. Anaerobic experiments were conducted using MGC AnaeroPack sachets (Mitsubishi Gas Chemical Company, Inc., Tokyo, Japan) on MB plates with 20 mM thiosulfate, 5 mM sulfite, 20 mM sulfate, 5 mM nitrite, and 20 mM nitrate provided as potential electron acceptors. Unless otherwise indicated, all physiological and biochemical tests were performed in MB medium at 28 °C. The API 20NE test strips (bioMérieux Inc., Marcy-l’Étoile, France) were used according to the manufacturer’s instructions.

2.8. Determination of Chemotaxonomic Characteristics

The reference strains Stutzerimonas xanthomarina DSM 18231T and Stutzerimonas zhaodongensis DSM 27599T were obtained from Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSMZ). For fatty acid methyl ester (FAME) analysis, cells of strain 381-2T and the reference strains Stutzerimonas xanthomarina DSM 18231T and Stutzerimonas zhaodongensis DSM 27599T were cultivated in MB medium at 28 °C and harvested at the end of exponential growth. Cellular fatty acids were extracted and prepared using saponification, methylation, extraction, and lye washing as described in previous studies [46]. The PAME profile was analyzed by gas chromatography (Agilent 8860, Santa Clara, CA, USA) and the Sherlock Microbial Identification System (MIS) with MIS library generation v6.5. For polar lipids analysis, cells of strain 381-2T were harvested under the same conditions. Subsequently, polar lipids were extracted following the previous description [47] and separated by two-dimensional thin-layer chromatography (TLC) on 60 F254 silica gel plates (10 × 10 cm; Merck Millipore, Darmstadt, Germany). Total lipids, amino lipids, glycolipids, and phospholipids were determined by spraying with phosphomolybdic acid, ninhydrin, molybdenum blue, and α-naphthol and sulfuric acid, respectively [48].

2.9. Genomic Sequencing, Assembly, and Annotation

The cells of strain 381-2T were cultured in Marine Broth 2216 (MB; DifcoTM, Becton, Dickinson and Company, Sparks, MD, USA) at 28 °C for 24 h and harvested by centrifugation at 12,000× g for 10 min. Genomic DNA was then extracted using the protocol described by Dellaporta et al. [49]. Briefly, DNA was extracted using the sodium dodecyl sulfate (SDS) method. Cells were first rinsed with sterile water, lysed using 50 μL 20% SDS solution, and treated with RNase A to remove RNA, and the DNA was further washed with 70% ethanol. Then, DNA quality and purity were assessed via gel electrophoresis. Subsequently, the DNA library was prepared and subjected to high-throughput paired-end sequencing on an Illumina NovaSeq 6000 platform (PE150). Specifically, approximately 0.2 μg of extracted DNA was fragmented to a size of 350 bp via ultrasonication. The DNA fragments were then end-polished, A-tailed, and ligated with full-length adapters compatible with Illumina sequencing, followed by further PCR amplification. The PCR products were purified and quality assessed using the AMPure XP system (Beverly, Beverly, MA, USA) and Agilent 5400 system (Agilent, Santa Clara, CA, USA), and quantified by QPCR (1.5 nM). The operations for DNA extraction, library construction, and sequencing were all performed at Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). Raw data was cleaned by Fastp v0.23.1 [50]. The clean data obtained from sequencing were assembled using SPAdes v3.10.1 [51], and quality assessment was performed using CheckM v1.0.7 [52]. Basic genomic information was obtained using SeqKit toolkit v2.8.0 [53], and tRNA and rRNA information for the strain was predicted using Prokka v1.11 [54]. The genome sequences of other Stutzerimonas type strains used in this study were obtained from the NCBI GenBank database, with detailed information provided in Table S1.
Subsequently, coding sequences (CDSs) of strain 381-2T and the other Stutzerimonas type strains were predicted using Prodigal v2.6.3 [55] under the “-single” mode. Functional annotation was then carried out in two approaches. First, KofamScan v1.3.0 [56] was employed with HMM profiles from the KEGG database (release 1 October 2025) and default score thresholds. Second, annotation against the Clusters of Orthologous Groups (COG) and Gene Ontology (GO) databases was performed using eggNOG-mapper web server version 2 (http://eggnog-mapper.embl.de/, accessed on 1 November 2025) [57].
Average nucleotide identity (ANI) and in silico DNA-DNA hybridization (isDDH) values between strain 381-2T and all Stutzerimonas reference strain genomes were calculated using the locally installed FastANI v1.33 [58] and the online Genome-to-Genome Distance Calculator version 3.0(GGDC, https://ggdc.dsmz.de/home.php, accessed on 14 October 2025) [59]. Orthologous genes were identified using OrthoFinder v2.5.4 [60] for comparative genomics analysis.

2.10. Sulfur-Oxidizing Potential in the Stutzerimonas

To further explore the sulfur oxidation and hydrothermal environment adaptation potential of Stutzerimonas, high-quality genomes of Stutzerimonas strains were obtained from the NCBI Assembly database, in addition to all the type-strain genomes. These genomes met the criteria proposed by Bowers et al. [61] (integrity > 90.0%, contamination rate < 5.0%, presence of 23S, 16S, and 5S rRNA genes, and at least 18 tRNA genes). To ensure the accuracy of the sulfur oxidation potential analysis, all putative tsdA gene sequences (KO number: K19713) obtained from KEGG annotation were individually verified by using the diamond v2.1.8.162 [62] blastp module against the UniProtKB/Swiss-Prot database (Release 2025_04) [63]. This high-quality, manually curated, non-redundant protein database was used to confirm the tsdA genes (D3RVD4, A4VND8, D5WYQ5, and Q4FQB7), which were then selected for subsequent analysis. The other metal resistance genes of Stutzerimonas strains were annotated using the BacMet 2.0 database [64], with results obtained using diamond v2.1.8.162 blastp module, applying thresholds of ≥80% identity and ≥80% coverage.

3. Results

3.1. Mineralogical Analysis

Strain 381-2T was isolated from a surface sediment sample BC12 collected at a depth of 3400 m in the Tianxiu hydrothermal field. The sampling site was located at the periphery of an active hydrothermal vent. The sediment exhibited a dark brown color and a coarse texture, with visible hydrothermal mineral grains. The XRF analysis indicated that sediment BC12 was enriched in hydrothermally derived metallic elements such as Fe, Mg, and Cu (Table S2). The XRD results indicated the presence of minerals such as pyrrhotite and lizardite in BC12 (Figure S1). Both XRF and XRD results support that BC12 is distinct from typical oceanic sediments, exhibiting characteristics of metal-rich sediment derived from deep-sea hydrothermal activity.

3.2. Growth of Strain 381-2T on Thiosulfate-Containing Substrates

Strain 381-2T was isolated and purified from sediment sample BC12, collected in the Tianxiu hydrothermal field, using SOB selective medium. Strain 381-2T exhibited a higher growth rate and achieved a greater cell density in MMT medium supplemented with 10 mM thiosulfate than in the control medium without thiosulfate (Figure 2a). The culture entered the stationary phase after approximately 40 h of incubation (Figure 2a). Concurrently, the pH of the culture medium containing 10 mM thiosulfate increased by approximately 2 units over the 40 h incubation period (Figure 2b). Indirect iodometric titration revealed that about 47% of the initially supplied thiosulfate was consumed after 70 h. HPLC analysis confirmed tetrathionate as the oxidation product of thiosulfate (Figure 2c).

3.3. Strain 381-2T and Mineral Interactions

To investigate the interaction between strain 381-2T and sulfide minerals, a two-month microbe–mineral interaction experiment was conducted. The results showed that the pH decreased in all sulfide mineral cultures. Among them, the pyrite culture system exhibited the lowest pH, with the uninoculated control at 2.13 and the inoculated culture at 2.32. For the sphalerite culture system, the pH values were 5.91 and 6.03 for the control and inoculated culture, respectively. For the pyrrhotite culture system, the pH decreased to 3.42 in the control and 3.67 in the inoculated culture. The significant pH decrease observed in the controls indicated that pyrite and pyrrhotite were highly susceptible to abiotic oxidation, while sphalerite remained relatively stable. In contrast, inoculation with strain 381-2T led to a consistently higher pH in all sulfide mineral cultures compared to their respective controls.
SEM analysis showed rod-shaped microbial cells attached to the surface of sphalerite (Figure 3a). In addition, rod-shaped pits, likely resulting from microbial dissolution, were observed on the pyrrhotite surfaces at the micron scale (Figure 3b,c). EDS analysis of the rod-shaped microbial structure in Figure 3a revealed a primary elemental composition of S, Zn, P, C, and O (Figure 3d). Analysis of another red cross-marked region on the same sphalerite sample detected Zn and S (Figure 3e). Further EDS analysis of the red cross-marked zone in Figure 3c revealed that its dominant elements were S, Fe, C, and O (Figure 3f).

3.4. Phylogenomic Affiliation of Strain 381-2T

The 16S rRNA gene sequence of strain 381-2T showed the highest similarity (99.52%) to that of Stutzerimonas zhaodongensis NEAU-ST5-21T, a strain isolated from saline–alkaline soils in Zhaodong city [25]. In both the neighbor-joining phylogenetic tree (Figure 4) and maximum-likelihood phylogenetic tree (Figure S2) based on 16S rRNA gene sequences, strain 381-2T clustered tightly with Stutzerimonas zhaodongensis NEAU-ST5-21T with a branch bootstrap value exceeding 70%, indicating a robust and reliable phylogenetic relationship.
Genome-based phylogenetic analysis further revealed that strain 381-2T, Stutzerimonas xanthomarina DSM 18231T, Stutzerimonas zhaodongensis NEAU-ST5-21T, Stutzerimonas mariansis PS1T, and Stutzerimonas nitritolerans GL14T form a highly supported clade (bootstrap value > 90%, Figure 5), indicating that they constitute a monophyletic lineage, which is distinct from other type strains of Stutzerimonas.

3.5. Distribution of Strain 381-2T in Global Marine Environments

The species closely related to strain 381-2T (16S rRNA gene identity ≥ 99%) are widely distributed across global marine environments (Figure 6). Strain 381-2T is prevalent in both coastal and open ocean ecosystems, with a broad latitudinal range extending from equatorial to polar regions (Figure 6).

3.6. Morphological, Physiological, and Chemotaxonomic Characteristics of Strain 381-2T

Strain 381-2T is a Gram-negative bacterium capable of growth under both aerobic and anaerobic conditions on MB agar plates. After 3 days of incubation at 28 °C on MB agar, colonies were typically irregular, beige, wrinkled, and dry, measuring 2–3 mm in diameter; round colonies were occasionally observed. TEM revealed that the cells are rod-shaped, measuring 3.2–3.3 µm in length and 1.3–1.5 µm in width (Figure S3). Strain 381-2T grew at temperatures ranging from 4 to 40 °C, with an optimum at 28 °C. The pH range for growth is 5.5–9.5, with an optimum at pH 7.0. The strain can grow in the presence of 0–10% (w/v) NaCl, with an optimum NaCl concentration of 4.5% (w/v). Notably, strain 381-2T exhibited a greater NaCl tolerance than the other Stutzerimonas type strains (Table 1).
The API 20NE test indicated that, in contrast to Stutzerimonas zhaodongensis NEAU-ST5-21T, strain 381-2T was unable to utilize L-arabinose or arginine, could not hydrolyze urea, and was negative for gelatinase activity. Strain 381-2T could be further distinguished from Stutzerimonas zhaodongensis NEAU-ST5-21T by multiple phenotypic characteristics, including the hydrolytic capabilities toward starch, Tween 20 and Tween 80. Additionally, strain 381-2T and Stutzerimonas xanthomarina DSM 18231T differed in their ability to assimilate capric acid (Table 1).
The major fatty acids (>10%) of strain 381-2T were C16:1ω7c and/or C16:1ω6c (34.36%), C18:1ω7c and/or C18:1ω6c (23.87%), and C16:0 (21.11%). The detailed fatty acid profiles of strain 381-2T and the two closely related Stutzerimonas type strains are listed in Table 2. The only respiratory quinone of strain 381-2T was ubiquinone-9. The major polar lipids of strain 381-2T consisted of phosphatidylglycerol, phosphatidylethanolamine, and one unidentified phospholipid. Additional minor polar lipids included two unidentified glycolipids, two unidentified phospholipids, and three unidentified lipids (Figure 7).

3.7. Genome Characteristics of Strain 381-2T

The genome of strain 381-2T showed 100.00% completeness and 1.01% contamination, meeting the high-quality standards proposed by Bowers et al. [61]. The assembled genome consists of 36 contigs, with a genome size of 4,898,288 bp and a G+C content of 60.2%. Gene prediction using Prokka identified 3 rRNA genes and 56 tRNA genes. Prodigal predicted 4508 CDSs, of which 4021 (89.20%) were assigned to COGs, 1163 CDSs (25.80%) were annotated with GOs, and 2754 CDSs (61.09%) were functionally annotated in the KEGG database.
The ANI and isDDH values between strain 381-2T and Stutzerimonas xanthomarina DSM 18231T were 88.18% and 33.90%, respectively (Table S3). In addition, the ANI and isDDH values between strain 381-2T and other Stutzerimonas species ranged from 79.12% to 88.18% and from 20.20% to 33.90%, respectively (Table S3). These values were below the species delineation thresholds of ANI (95–96%) and isDDH (70%) [66], supporting the proposal that strain 381-2T represents a novel species within the genus Stutzerimonas.
Comparative genomic analysis revealed that the genome of strain 381-2T contains 174 unique orthologous groups, which are absent in the genomes of 16 other Stutzerimonas type strains (Table S4). Among these, 51 orthologous groups were identified in the COG database under the following functional categories: C (energy production and conversion), E (amino acid transport and metabolism), G (carbohydrate transport and metabolism), K (transcription), L (replication, recombination and repair), N (cell motility), O (posttranslational modification, protein turnover, chaperones), P (inorganic ion transport and metabolism), S (function unknown), U (intracellular trafficking, secretion, and vesicular transport), and V (defense mechanisms) (Table S4). Additionally, 24 unique orthologous groups in 381-2T were annotated in KEGG as conjugative transfer-related proteins (TraABEFGHIKLNUVW), DNA recombinase (spoIVCA), recombination protein (RecT), plasmid segregation protein (ParM), putative transposase, transport system small permease protein (DctQ), formate dehydrogenase subunit delta (FdsD), alginate O-acetyltransferase complex protein (AlgFJ), cobaltochelatase (CobT), mercuric ion transport protein (MerC), exodeoxyribonuclease VII small subunit (XseB), and uncharacterized proteins (Table S4).

3.8. Genomic Analysis of Sulfur Oxidation and Metal Resistance Potential in Stutzerimonas

Functional gene annotation revealed that the genomes of 12 Stutzerimonas type strains, including strain 381-2T, encode the tsdA gene, which is the most abundant sulfur oxidation gene in this genus (Figure 8; Table S5). Additionally, 322 high-quality Stutzerimonas genomes retrieved from the NCBI Assembly database (Table S6) were further analyzed, with 287 (89.13%) of these genomes containing at least one tsdA gene (Figure 9). Among them, 28 genomes encoded two or more copies of the tsdA gene, indicating the multi-copy presence of the tsdA gene in certain Stutzerimonas genomes (Table S7). Further validation revealed that the tsdA encoded by Stutzerimonas belongs to two Uniprot accession numbers (A4VND8 and Q4FQB7). The amino acid sequence identities of TsdA proteins ranged from 39.3% to 100.0%, with an average identity of 86.13% (Table S7). Notably, we found that strain 381-2T and other Stutzerimonas type strains commonly encode genes associated with the denitrification pathway and oxidative phosphorylation (Figure 8).
Analysis of the isolation environments of Stutzerimonas genomes revealed that members of this genus are widely distributed in diverse habitats, including soil, marine, contaminated environments, rhizosphere, and clinical samples (Figure 9; Table S6). Notably, 16 genomes were derived from hydrothermal ecosystems, and all of these genomes encoded the tsdA gene (Figure 9; Table S7). Phylogenomic analysis based on strain 381-2T and 322 high-quality Stutzerimonas genomes further demonstrated that strain 381-2T is closely related to Stutzerimonas genomes derived from marine and hydrothermal environments (Figure 9).
The results of the metal resistance gene analysis indicate that 381-2T encodes 14 metal resistance or metal transport genes, enabling it to resist various metals, including Cu, Cr, Te, Se, Hg, Ni, Cd, Zn, and Co through multiple mechanisms (Figure 10; Tables S5 and S8). For mercury resistance, 381-2T encodes merT for uptaking Hg2+ [67], merA for reducing Hg2+ to volatile Hg0 [68], and the efflux protein MerE [69], with additional regulatory genes merD, merP, and merR involved in this process [70]. Regarding copper resistance, strain 381-2T encodes two copR genes, which sense intracellular copper ion concentrations and regulate copper-related resistance pathways [71]. The genes ruvB and recG contribute to repairing DNA oxidative damage caused by Cr, Te, and Se [72,73], while chrA exports Cr6+ from the cell [68]. Additionally, mrdH and mreA are associated with the efflux of Zn2+, Cd2+, Ni2+, and Co2+ [73]. Among the other 322 high-quality Stutzerimonas genomes, the number of metal resistance genes ranged from 3 to 26, with an average of 8 genes per genome (Table S8).

4. Discussion

4.1. Isolation and Description of Stutzerimonas sp. nov. 381-2T

In this study, a novel Stutzerimonas strain was isolated from a deep-sea hydrothermal sediment sample. The 16S rRNA gene sequence of strain 381-2T shared 99.52% identity with that of Stutzerimonas zhaodongensis NEAU-ST5-21T. However, genome-relatedness indices, including ANI and isDDH values, between 381-2T and Stutzerimonas type strains were below the proposed species delineation thresholds of 95.0–96.0% and 70.0%, respectively. The maximum-likelihood phylogenomic tree based on the GTDB database showed that strain 381-2T was solidly clustered in a clade with Stutzerimonas xanthomarina DSM 18231T. Phenotypically, strain 381-2T could be clearly differentiated from related type strains. Notably, it exhibited a broader NaCl tolerance range (0–10% w/v) and a distinct optimal NaCl concentration for growth compared to Stutzerimonas zhaodongensis NEAU-ST5-21T and Stutzerimonas xanthomarina DSM 18231T. In API 20NE tests, strain 381-2T differed from Stutzerimonas zhaodongensis NEAU-ST5-21T by its inability to utilize L-arabinose or arginine, hydrolyze urea, or produce gelatinase. Further phenotypic distinctions from Stutzerimonas zhaodongensis NEAU-ST5-21T included the hydrolysis of starch, Tween 20, and Tween 80. Additionally, strain 381-2T differed from Stutzerimonas xanthomarina DSM 18231T in its assimilation of capric acid. Based on those genetic, genomic, phylogenomic, biochemical, and chemotaxonomic characteristics, strain 381-2T could be identified as a novel Stutzerimonas species, for which the name Stutzerimonas tianxiuensis sp. nov. 381-2T is proposed.
Stutzerimonas tianxiuensis (tian.xiu.en’sis. N.L. fem. adj. tianxiuensis pertaining to Tianxiu, the hydrothermal vent name where the type strain was isolated).
Cells are rod-shaped, 3.2–3.3 µm long and 1.3–1.5 µm wide, Gram-negative, and facultatively anaerobic. Growth occurs at 10–40 °C (optimum 28 °C), pH 5.5–9.5 (optimum 7.0), and in the presence of 0–10% (w/v) NaCl (optimum 4.5%). The strain is capable of oxidizing thiosulfate to tetrathionate. In the carbon source assimilation assay using API 20NE tests with 12 substrates, the strain assimilates glucose, D-mannitol, D-maltose, potassium gluconate, capric acid, adipic acid, malic acid, and citrate, but does not utilize L-arabinose, D-mannose, N-acetylglucosamine, or phenylacetic acid. Nitrate reductase activity (NO3 reduction) is positive, but tryptophanase, arginine dihydrolase, urease, α-glucosidase, protease, and β-galactosidase activities are consistently negative. The major fatty acids (>10 %) of strain 381-2T are C16:1ω7c and/or C16:1ω6c, C18:1ω7c and/or C18:1ω6c and C16:0. The major polar lipids comprise phosphatidylglycerol, phosphatidylethanolamine, and one unidentified glycolipid. The only respiratory quinone is identified as ubiquinone-9.
The type strain, 381-2T (= CCTCC AB 2025277T = MCCC M32512T), was isolated from Tianxiu hydrothermal sediments collected from the Carlsberg Ridge in the Northwestern Indian Ocean. The genomic DNA G+C content of the type strain is 60.2%. The NCBI GenBank accession numbers for the 16S rRNA gene and genome sequences of strain 381-2T are PX706103 and JBPVWS000000000, respectively.

4.2. Strain 381-2T Has the Potential to Participate in Sulfide Mineral Transformation

Strain 381-2T was isolated from hydrothermal sediments, which are characterized by elevated concentrations of Fe, Mg, Cu and other metals, in addition to hydrothermal sulfide minerals. Through microbe–mineral interaction experiments of strain 381-2T with various sulfide minerals, this study demonstrates that its metabolic activity affects the weathering process of sulfide minerals, which is manifested by the regulation of system pH [74], attachment to mineral surfaces, and potential promotion of mineral reprecipitation on microbial surfaces.
The difference in pH between the experimental and control groups directly reflects the influence of acid–base balance of the system by microbial activity. In the abiotic controls, the pH decreased in all sulfide mineral systems resulting from the chemical oxidation of sulfides. The pyrite and pyrrhotite systems exhibited the largest pH drop, reaching strongly acidic conditions, which confirms their higher susceptibility to abiotic oxidation. In contrast, inoculation with 381-2T resulted in higher pH in all mineral systems compared to the controls. Considering the sulfur oxidation capacity of strain 381-2T, we deduced that this strain may utilize intermediate sulfur species (e.g., S2O32−) produced during sulfide mineral dissolution, generating energy through an alkalogenic sulfur oxidation process (S4I), which in turn raises the system pH. However, while strain 381-2T can counteract some degree of acidification through this process, it cannot fully prevent the system from becoming acidic due to the ongoing abiotic processes that drive pH reduction.
Mineralized cells observed on the sphalerite surface via SEM-EDS provided direct evidence of microbe–mineral interactions (Figure 3). The elemental signals of C, O, P, and S detected by EDS strongly indicated the presence of microbial cells and their extracellular polymeric substances (EPS). Genomic analysis of strain 381-2T identified nine genes related to exopolysaccharide biosynthesis (Table S5), which are involved in the synthesis of various EPS (Colanic acid, Alginate, Psl polysaccharide, Poly-N-acetyl-glucosamine (PNAG), and Vibrio polysaccharide) and microbial biofilm formation. Consistent with this, in situ cultivation on pyrite also demonstrated that colonizing cells secrete polysaccharide-rich EPS on mineral surfaces [75]. EPS are biomacromolecular polymers secreted by microorganisms during growth [76]. Not only do they serve as key biological adhesives for microbial attachment to mineral surfaces [77,78], but their negatively charged functional groups (e.g., carboxyl and phosphate groups) can also effectively adsorb metal cations from the environment [79]. This adsorption results in local supersaturation of metal ions, thereby providing nucleation sites for mineral precipitation [80,81]. We hypothesize that the Zn and S signals detected on the surface of attached cells may reflect the reprecipitation of Zn2+ and S2−/Sn2− from dissolved sphalerite within the EPS matrix, or the formation of other zinc-bearing secondary phases.
Additionally, genomic analysis of strain 381-2T revealed the presence of various metal resistance genes, including a mer operon for mercury detoxification, heavy metal efflux pumps for copper and zinc, and genes for oxidative stress resistance. Similarly, a variety of metal transporters and resistance genes have been annotated in other high-quality Stutzerimonas genomes. These genetic determinants help Stutzerimonas species cope with metal stress in hydrothermal environments and enhance their adaptability to these heavy-metal-rich conditions [82].

4.3. Adaptation Properties of Stutzerimonas to Deep-Sea Hydrothermal Fields

Stutzerimonas (formerly known as the Pseudomonas stutzeri complex) is a newly reclassified genus within the family Pseudomonadaceae, exhibiting substantial genotypic and phenotypic diversity [26]. In this study, comparative genomics analyses were conducted to explore the adaptive mechanisms of Stutzerimonas to the deep-sea hydrothermal environment.
Members of the genus Stutzerimonas generally exhibit sulfur-oxidizing potential. A comprehensive analysis of 322 high-quality Stutzerimonas genomes revealed that the majority of Stutzerimonas strains (89.13%) harbor the sulfur-oxidizing gene tsdA (Figure 9). Notably, all 16 strains isolated from hydrothermal environments carried the tsdA gene, which represents the highest proportion of tsdA-encoding strains among all the sampled environments (Figure 9 and Figure S4). In this study, the tsdA gene was identified in strain 381-2T, which was isolated from hydrothermal sediment. Experimental validation confirmed that strain 381-2T oxidized thiosulfate to tetrathionate, thereby promoting its growth. These findings suggest that Stutzerimonas species may utilize the tsdA-mediated sulfur oxidation pathway (S4I) to utilize the abundant reduced sulfur compounds in hydrothermal vents, facilitating their colonization of these sulfur-rich niches [83].
Additionally, Stutzerimonas possesses diverse metabolic pathways and serves as an important driver of sulfur, nitrogen, and carbon cycles in deep-sea hydrothermal ecosystems. Stutzerimonas is frequently reported to perform denitrification, reducing nitrate to nitrogen under anaerobic conditions [26,27]. In the oxygen-limited zones of deep-sea hydrothermal vents, Stutzerimonas can utilize nitrate as an electron acceptor to support anaerobic respiration [84]. In this study, the sulfur-oxidizing strain 381-2T was found to encode a complete denitrification pathway (Figure 8; Table S5). Meanwhile, its genome also contains multiple carboxylase genes, such as pyruvate carboxylase and acetyl-CoA carboxylase (Table S5). These findings indicate that 381-2T has the potential to drive anaplerotic CO2 fixation [85,86] using energy derived from sulfur oxidation and denitrification, thereby replenishing intermediates of the tricarboxylic acid (TCA) cycle. This mechanism may enable the strain to sustain growth in environments with limited organic carbon. Thus, the sulfur-oxidizing and denitrification abilities of Stutzerimonas provide a flexible energy utilization strategy, enhancing its adaptability in dynamic hydrothermal chemical conditions and playing a critical role in the sulfur, nitrogen, and carbon cycles in these ecosystems.
The genus Stutzerimonas likely occupies microaerobic and facultative anaerobic niches in hydrothermal environments. Strain 381-2T and other type strains of Stutzerimonas possess a complete set of respiratory chain complexes (including Complexes I, II, III, IV and V) along with a notably diverse terminal oxidase system (Figure 8; Table S5). This system includes the cbb3-type cytochrome c oxidase (CcoN, CcoO, CcoP), which exhibits high affinity for oxygen and supports efficient respiration under microaerobic conditions [87]. It also includes oxidases such as the bd-type quinol oxidase (CydA, CydB), which is expressed under low-oxygen conditions and is insensitive to inhibitors like cyanide, thereby enhancing its competitiveness in oxygen-limited environments [88,89]. The presence of multiple terminal oxidases allows Stutzerimonas to finely regulate its metabolic processes, marking this genus as a classic facultative anaerobe. It can flexibly switch its respiratory mode in response to dynamic changes in environmental oxygen partial pressure, allowing it to colonize and thrive in hydrothermal settings with steep redox gradients [90].
In addition, Stutzerimonas species are widely distributed in marine environments. Apart from deep-sea hydrothermal areas, they are also found in surface seawater [91], contaminated marine sediment [26], deep-sea sediments from the Mariana Trench [27], and marine organisms [92]. This broad distribution is closely associated with their versatile metabolic capabilities, which enable adaptation to various marine niches and contribute to the biogeochemical cycling of sulfur and nitrogen in the oceans.

5. Conclusions

In conclusion, this study described the isolation and characterization of a novel sulfur-oxidizing bacterium, strain 381-2T, which is proposed as Stutzerimonas tianxiuensis sp. nov., from metal-rich sediments in the Tianxiu hydrothermal field. Phylogenetic and taxonomic analyses, including 16S rRNA gene sequencing and comparative genomic analysis, confirmed that strain 381-2T represents a new species within the genus Stutzerimonas. Physiological experiments revealed that strain 381-2T oxidized thiosulfate to tetrathionate, promoting its growth. Furthermore, genomic analysis identified the key sulfur oxidation gene tsdA, involved in the S4I pathway. Microbe–mineral interaction experiments suggested that strain 381-2T can influence pH, adhere to mineral surfaces, and potentially promote mineral reprecipitation, thereby contributing to the weathering of sulfide minerals. The widespread presence of the tsdA gene in the genus Stutzerimonas and the prevalence of metal resistance or transport genes highlight the adaptability of these bacteria to metal-rich hydrothermal environments. Overall, Stutzerimonas species employ diverse survival strategies, including sulfur compound utilization, to thrive in extreme marine environments, offering valuable insights into their genomic and physiological adaptations in hydrothermal vent ecosystems.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/microorganisms14020466/s1: Figure S1. X-ray diffraction patterns of sediment sample BC12; Figure S2. Maximum-likelihood phylogenetic tree based on 16S rRNA gene sequences showing the phylogenetic relationships of strain 381-2T and other type strains; Figure S3. Transmission electron micrograph of strain 381-2T cell cultured on MB agar for three days at 28°C; Figure S4. Proportion of Stutzerimonas strains encoding the tsdA gene isolated from different environments; Table S1. Genomic information for Stutzerimonas type strains used in this study; Table S2. Elemental composition of the BC12 sediment sample; Table S3. ANI and isDDH values between strain 381-2T and other type strains; Table S4. The protein sequences and annotation results of the 174 exclusive orthologous groups encoded by strain Stutzerimonas tianxiuensis 381-2T compared to other type strains; Table S5. The KEGG annotation results of various metabolic genes in Stutzerimonas tianxiuensis 381-2T and other type strains of the Stutzerimonas genus; Table S6. Genomic information of high-quality Stutzerimonas genomes used in this study; Table S7. The annotation results of the tsdA gene in this study; Table S8. The annotation results of metal resistance-related genes in the Stutzerimonas genus genomes used in this study, based on the Bacmet database 2.0.

Author Contributions

Y.D.: Data curation, formal analysis, investigation, methodology, visualization, writing—original draft; M.-H.L.: methodology, writing—review and editing; Y.-K.L.: formal analysis, visualization, writing—review and editing; T.W.: writing—review and editing; X.-W.X.: funding acquisition, writing—review and editing; Y.-H.W.: conceptualization, funding acquisition, project administration, supervision, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the National Key R&D Program of China (No. 2021YFF0501303), the National Natural Science Foundation of China (42376133) and the Digital Deep-sea Typical Habitats Programme.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The 16S rRNA gene and genome sequences of strain 381-2T have been deposited in the NCBI GenBank database under accession numbers PX706103 and JBPVWS000000000, respectively.

Acknowledgments

The efforts of all members and scientists involved in the DY72 cruise are greatly appreciated.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Früh-Green, G.L.; Kelley, D.S.; Lilley, M.D.; Cannat, M.; Chavagnac, V.; Baross, J.A. Diversity of Magmatism, Hydrothermal Processes and Microbial Interactions at Mid-Ocean Ridges. Nat. Rev. Earth Environ. 2022, 3, 852–871. [Google Scholar] [CrossRef] [Scilit]
  2. Corliss, J.B.; Dymond, J.; Gordon, L.I.; Edmond, J.M.; von Herzen, R.P.; Ballard, R.D.; Green, K.; Williams, D.; Bainbridge, A.; Crane, K.; et al. Submarine Thermal Springs on the Galápagos Rift. Science 1979, 203, 1073–1083. [Google Scholar] [CrossRef] [Scilit]
  3. Dick, G.J. The Microbiomes of Deep-Sea Hydrothermal Vents: Distributed Globally, Shaped Locally. Nat. Rev. Microbiol. 2019, 17, 271–283. [Google Scholar] [CrossRef] [Scilit]
  4. Zhou, Z.; Tran, P.Q.; Adams, A.M.; Kieft, K.; Breier, J.A.; Fortunato, C.S.; Sheik, C.S.; Huber, J.A.; Li, M.; Dick, G.J.; et al. Sulfur Cycling Connects Microbiomes and Biogeochemistry in Deep-Sea Hydrothermal Plumes. ISME J. 2023, 17, 1194–1207. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Zeng, X.; Alain, K.; Shao, Z. Microorganisms from Deep-Sea Hydrothermal Vents. Mar. Life Sci. Technol. 2021, 3, 204–230. [Google Scholar] [CrossRef] [Scilit]
  6. McCollom, T.M. Geochemical Constraints on Sources of Metabolic Energy for Chemolithoautotrophy in Ultramafic-Hosted Deep-Sea Hydrothermal Systems. Astrobiology 2007, 7, 933–950. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  7. Zhou, Z.; Tran, P.Q.; Cowley, E.S.; Trembath-Reichert, E.; Anantharaman, K. Diversity and Ecology of Microbial Sulfur Metabolism. Nat. Rev. Microbiol. 2025, 23, 122–140. [Google Scholar] [CrossRef] [Scilit]
  8. Jannasch, H.W.; Wirsen, C.O.; Nelson, D.C.; Robertson, L.A. Thiomicrospira crunogena sp. nov., a Colorless, Sulfur-Oxidizing Bacterium from a Deep-Sea Hydrothermal Vent. Int. J. Syst. Evol. Microbiol. 1985, 35, 422–424. [Google Scholar] [CrossRef] [Scilit]
  9. Wang, S.; Jiang, L.; Hu, Q.; Cui, L.; Zhu, B.; Fu, X.; Lai, Q.; Shao, Z.; Yang, S. Characterization of Sulfurimonas hydrogeniphila sp. nov., a Novel Bacterium Predominant in Deep-Sea Hydrothermal Vents and Comparative Genomic Analyses of the Genus Sulfurimonas. Front. Microbiol. 2021, 12, 626705. [Google Scholar] [CrossRef] [Scilit]
  10. Muyzer, G.; Kuenen, J.G.; Robertson, L.A. Colorless Sulfur Bacteria. In The Prokaryotes; Rosenberg, E., DeLong, E.F., Lory, S., Stackebrandt, E., Thompson, F., Eds.; Springer: Berlin/Heidelberg, Germany, 2013; pp. 555–588. [Google Scholar]
  11. Imhoff, J.F.; Thiel, V. Phylogeny and Taxonomy of Chlorobiaceae. Photosynth. Res. 2010, 104, 123–136. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  12. Dahl, C. Sulfur Metabolism in Phototrophic Bacteria. In Modern Topics in the Phototrophic Prokaryotes: Metabolism, Bioenergetics, and Omics; Hallenbeck, P.C., Ed.; Springer International Publishing: Cham, Switzerland, 2017; pp. 27–66. [Google Scholar]
  13. Trudinger, P. Evidence for a Four-Sulphur Intermediate in Thiosulphate Oxidation by Thiobacillus X. Aust. J. Biol. Sci. 1964, 17, 577–580. [Google Scholar] [CrossRef] [Scilit]
  14. Meulenberg, R.; Scheer, E.J.; Pronk, J.T.; Hazeu, W.; Bos, P.; Gijs Kuenen, J. Metabolism of Tetrathionate in Thiobacillus acidophilus. FEMS Microbiol. Lett. 1993, 112, 167–172. [Google Scholar] [CrossRef]
  15. Dam, B.; Mandal, S.; Ghosh, W.; Das Gupta, S.K.; Roy, P. The S4-Intermediate Pathway for the Oxidation of Thiosulfate by the Chemolithoautotroph Tetrathiobacter kashmirensis and Inhibition of Tetrathionate Oxidation by Sulfite. Res. Microbiol. 2007, 158, 330–338. [Google Scholar] [CrossRef] [Scilit]
  16. Rameez, M.J.; Pyne, P.; Mandal, S.; Chatterjee, S.; Alam, M.; Bhattacharya, S.; Mondal, N.; Sarkar, J.; Ghosh, W. Two Pathways for Thiosulfate Oxidation in the Alphaproteobacterial Chemolithotroph Paracoccus thiocyanatus SST. Microbiol. Res. 2020, 230, 126345. [Google Scholar] [CrossRef] [Scilit]
  17. Rzhepishevska, O.I.; Valdés, J.; Marcinkeviciene, L.; Gallardo, C.A.; Meskys, R.; Bonnefoy, V.; Holmes, D.S.; Dopson, M. Regulation of a Novel Acidithiobacillus caldus Gene Cluster Involved in Metabolism of Reduced Inorganic Sulfur Compounds. Appl. Environ. Microbiol. 2007, 73, 7367–7372. [Google Scholar] [CrossRef] [Scilit]
  18. Kikumoto, M.; Nogami, S.; Kanao, T.; Takada, J.; Kamimura, K. Tetrathionate-Forming Thiosulfate Dehydrogenase from the Acidophilic, Chemolithoautotrophic Bacterium Acidithiobacillus ferrooxidans. Appl. Environ. Microbiol. 2013, 79, 113–120. [Google Scholar] [CrossRef] [Scilit]
  19. Pyne, P.; Alam, M.; Rameez, M.J.; Mandal, S.; Sar, A.; Mondal, N.; Debnath, U.; Mathew, B.; Misra, A.K.; Mandal, A.K.; et al. Homologs from Sulfur Oxidation (Sox) and Methanol Dehydrogenation (Xox) Enzyme Systems Collaborate to Give Rise to a Novel Pathway of Chemolithotrophic Tetrathionate Oxidation. Mol. Microbiol. 2018, 109, 169–191. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  20. Visser, J.M.; de Jong, G.A.; Robertson, L.A.; Kuenen, J.G. Purification and Characterization of a Periplasmic Thiosulfate Dehydrogenase from the Obligately Autotrophic Thiobacillus sp. W5. Arch. Microbiol. 1996, 166, 372–378. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  21. Brito, J.A.; Denkmann, K.; Pereira, I.A.C.; Archer, M.; Dahl, C. Thiosulfate Dehydrogenase (TsdA) from Allochromatium vinosum. J. Biol. Chem. 2015, 290, 9222–9238. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  22. Du, R.; Gao, D.; Wang, Y.; Liu, L.; Cheng, J.; Liu, J.; Zhang, X.-H.; Yu, M. Heterotrophic Sulfur Oxidation of Halomonas titanicae SOB56 and Its Habitat Adaptation to the Hydrothermal Environment. Front. Microbiol. 2022, 13, 888833. [Google Scholar] [CrossRef] [Scilit]
  23. Lalucat, J.; Gomila, M.; Mulet, M.; Zaruma, A.; García-Valdés, E. Past, Present and Future of the Boundaries of the Pseudomonas Genus: Proposal of Stutzerimonas gen. nov. Syst. Appl. Microbiol. 2022, 45, 126289. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  24. Parte, A.C.; Sardà Carbasse, J.; Meier-Kolthoff, J.P.; Reimer, L.C.; Göker, M. List of Prokaryotic Names with Standing in Nomenclature (LPSN) Moves to the DSMZ. Int. J. Syst. Evol. Microbiol. 2020, 70, 5607–5612. [Google Scholar] [CrossRef] [Scilit]
  25. Zhang, L.; Pan, Y.; Wang, K.; Zhang, X.; Zhang, C.; Zhang, S.; Fu, X.; Jiang, J. Pseudomonas zhaodongensis sp. nov., Isolated from Saline and Alkaline Soils. Int. J. Syst. Evol. Microbiol. 2015, 65, 1022–1030. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Mulet, M.; Gomila, M.; Lalucat, J.; Bosch, R.; Rossello-Mora, R.; García-Valdés, E. Stutzerimonas decontaminans sp. nov. Isolated from Marine Polluted Sediments. Syst. Appl. Microbiol. 2023, 46, 126400. [Google Scholar] [CrossRef] [Scilit]
  27. Yang, Y.; Gao, Y.; Liu, Y.; Liu, B.; Wang, D.; Xu, Y.; Wei, Y. Pseudomonas marianensis sp. nov., a Marine Bacterium Isolated from Deep-Sea Sediments of the Mariana Trench. Arch. Microbiol. 2022, 204, 638. [Google Scholar] [CrossRef] [Scilit]
  28. Tao, C.; Wu, G.; Deng, X.; Qiu, Z.; Han, C.; Long, Y. New Discovery of Seafloor Hydrothermal Activity on the Indian Ocean Carlsberg Ridge and Southern North Atlantic Ridge—Progress during the 26th Chinese COMRA Cruise. Acta Oceanol. Sin. 2013, 32, 85–88. [Google Scholar] [CrossRef] [Scilit]
  29. Wentzien, S.; Sand, W.; Albertsen, A.; Steudel, R. Thiosulfate and Tetrathionate Degradation as Well as Biofilm Generation by Thiobacillus intermedius and Thiobacillus versutus Studied by Microcalorimetry, HPLC, and Ion-Pair Chromatography. Arch. Microbiol. 1994, 161, 116–125. [Google Scholar] [CrossRef]
  30. Kojima, H.; Mochizuki, J.; Kanda, M.; Watanabe, T.; Fukui, M. Thiomicrorhabdus immobilis sp. nov., a Mesophilic Sulfur-Oxidizing Bacterium Isolated from Sediment of a Brackish Lake in Northern Japan. Arch. Microbiol. 2022, 204, 605. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  31. Xu, X.-W.; Wu, M.; Zhou, P.-J.; Liu, S.-J. Halobiforma lacisalsi sp. nov., Isolated from a Salt Lake in China. Int. J. Syst. Evol. Microbiol. 2005, 55, 1949–1952. [Google Scholar] [CrossRef] [Scilit]
  32. Chalita, M.; Kim, Y.O.; Park, S.; Oh, H.-S.; Cho, J.H.; Moon, J.; Baek, N.; Moon, C.; Lee, K.; Yang, J.; et al. EzBioCloud: A Genome-Driven Database and Platform for Microbiome Identification and Discovery. Int. J. Syst. Evol. Microbiol. 2024, 74, 006421. [Google Scholar] [CrossRef] [Scilit]
  33. Zhang, J.; Liu, R.; Xi, S.; Cai, R.; Zhang, X.; Sun, C. A Novel Bacterial Thiosulfate Oxidation Pathway Provides a New Clue about the Formation of Zero-Valent Sulfur in Deep Sea. ISME J. 2020, 14, 2261–2274. [Google Scholar] [CrossRef] [Scilit]
  34. Kelly, D.P.; Wood, A.P. Synthesis and Determination of Thiosulfate and Polythionates. In Methods in Enzymology; Colowick, S.P., Joshi, M.D., Jagannathan , Kaplan, N.O., Eds.; Elsevier: Amsterdam, The Netherlands, 1994; pp. 475–501. [Google Scholar]
  35. Kumar, S.; Stecher, G.; Suleski, M.; Sanderford, M.; Sharma, S.; Tamura, K. MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing. Mol. Biol. Evol. 2024, 41, msae263. [Google Scholar] [CrossRef] [Scilit]
  36. Larkin, M.A.; Blackshields, G.; Brown, N.P.; Chenna, R.; McGettigan, P.A.; McWilliam, H.; Valentin, F.; Wallace, I.M.; Wilm, A.; Lopez, R.; et al. Clustal W and Clustal X Version 2.0. Bioinformatics 2007, 23, 2947–2948. [Google Scholar] [CrossRef] [Scilit]
  37. Chaumeil, P.-A.; Mussig, A.J.; Hugenholtz, P.; Parks, D.H. GTDB-Tk: A Toolkit to Classify Genomes with the Genome Taxonomy Database. Bioinformatics 2020, 36, 1925–1927. [Google Scholar] [CrossRef] [Scilit]
  38. Minh, B.Q.; Schmidt, H.A.; Chernomor, O.; Schrempf, D.; Woodhams, M.D.; von Haeseler, A.; Lanfear, R. IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. Mol. Biol. Evol. 2020, 37, 1530–1534, Erratum in Mol. Biol. Evol. 2020, 37, 2461. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  39. Xie, J.; Chen, Y.; Cai, G.; Cai, R.; Hu, Z.; Wang, H. Tree Visualization by One Table (tvBOT): A Web Application for Visualizing, Modifying and Annotating Phylogenetic Trees. Nucleic Acids Res. 2023, 51, W587–W592. [Google Scholar] [CrossRef] [Scilit]
  40. Yao, X.; Wang, J.; He, M.; Liu, Z.; Zhao, Y.; Li, Y.; Chi, T.; Zhu, L.; Zheng, P.; Jetten, M.S.M.; et al. Methane-Dependent Complete Denitrification by a Single Methylomirabilis Bacterium. Nat. Microbiol. 2024, 9, 464–476. [Google Scholar] [CrossRef] [Scilit]
  41. Lagkouvardos, I.; Joseph, D.; Kapfhammer, M.; Giritli, S.; Horn, M.; Haller, D.; Clavel, T. IMNGS: A Comprehensive Open Resource of Processed 16S rRNA Microbial Profiles for Ecology and Diversity Studies. Sci. Rep. 2016, 6, 33721. [Google Scholar] [CrossRef] [Scilit]
  42. Chen, J.-Q.; Rong, Z.; Zheng, D.-Q.; Wu, Y.-H.; Xu, X.-W. Degradation of Polyethylene by Three Bacteria Isolated from Coastal Beach. Environ. Res. 2025, 278, 121603. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  43. Dong, X.Z.; Cai, M.Y. Determinative Manual for Routine Bacteriology; Scientific Press: Beijing, China, 2001. [Google Scholar]
  44. Zobell, C. Studies on Marine Bacteria. I. The Cultural Requirements of Heterotrophic Aerobes. J. Mar. Res. 1941, 4, 42–75. [Google Scholar]
  45. Xu, L.; Huo, Y.-Y.; Li, Z.-Y.; Wang, C.-S.; Oren, A.; Xu, X.-W. Chryseobacterium profundimaris sp. nov., a New Member of the Family Flavobacteriaceae Isolated from Deep-Sea Sediment. Antonie Van Leeuwenhoek 2015, 107, 979–989. [Google Scholar] [CrossRef] [Scilit]
  46. Chang, Y.-L.; Li, J.-X.; Wang, X.-C.; Li, Y.; Cao, Y.-F.; Duan, X.-W.; Sun, C.; Chen, C.; Xu, L. Alteromonas nitratireducens sp. nov., a Novel Nitrate-Reducing Bacterium Isolated from Marine Sediments, and the Evolution of Nitrate-Reducing Genes in the Genus Alteromonas. Microorganisms 2025, 13, 1888. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  47. Yu, J.; Gao, J.-W.; Cao, K.; He, D.-Y.; Xu, L.; Fu, G.-Y.; Sun, C. Characterization of Two Novel Species of the Genus Flagellimonas Reveals the Key Role of Vertical Inheritance in the Evolution of Alginate Utilization Loci. Microbiol. Spectr. 2025, 13, e00917-25. [Google Scholar] [CrossRef] [Scilit]
  48. Minnikin, D.E. Chemical Principles in the Organization of Lipid Components in the Mycobacterial Cell Envelope. Res. Microbiol. 1991, 142, 423–427. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  49. Dellaporta, S.L.; Wood, J.; Hicks, J.B. A Plant DNA Minipreparation: Version II. Plant Mol. Biol. Rep. 1983, 1, 19–21. [Google Scholar] [CrossRef] [Scilit]
  50. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [Scilit]
  51. Prjibelski, A.; Antipov, D.; Meleshko, D.; Lapidus, A.; Korobeynikov, A. Using SPAdes De Novo Assembler. Curr. Protoc. Bioinform. 2020, 70, e102. [Google Scholar] [CrossRef] [Scilit]
  52. Parks, D.H.; Imelfort, M.; Skennerton, C.T.; Hugenholtz, P.; Tyson, G.W. CheckM: Assessing the Quality of Microbial Genomes Recovered from Isolates, Single Cells, and Metagenomes. Genome Res. 2015, 25, 1043–1055. [Google Scholar] [CrossRef] [Scilit]
  53. Shen, W.; Sipos, B.; Zhao, L. SeqKit2: A Swiss Army Knife for Sequence and Alignment Processing. iMeta 2024, 3, e191. [Google Scholar] [CrossRef] [Scilit]
  54. Seemann, T. Prokka: Rapid Prokaryotic Genome Annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef] [Scilit]
  55. Hyatt, D.; Chen, G.-L.; LoCascio, P.F.; Land, M.L.; Larimer, F.W.; Hauser, L.J. Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification. BMC Bioinform. 2010, 11, 119. [Google Scholar] [CrossRef] [Scilit]
  56. Aramaki, T.; Blanc-Mathieu, R.; Endo, H.; Ohkubo, K.; Kanehisa, M.; Goto, S.; Ogata, H. KofamKOALA: KEGG Ortholog Assignment Based on Profile HMM and Adaptive Score Threshold. Bioinformatics 2020, 36, 2251–2252. [Google Scholar] [CrossRef] [Scilit]
  57. Cantalapiedra, C.P.; Hernández-Plaza, A.; Letunic, I.; Bork, P.; Huerta-Cepas, J. eggNOG-Mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Mol. Biol. Evol. 2021, 38, 5825–5829. [Google Scholar] [CrossRef] [Scilit]
  58. Jain, C.; Rodriguez-R, L.M.; Phillippy, A.M.; Konstantinidis, K.T.; Aluru, S. High Throughput ANI Analysis of 90K Prokaryotic Genomes Reveals Clear Species Boundaries. Nat. Commun. 2018, 9, 5114. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  59. Meier-Kolthoff, J.P.; Carbasse, J.S.; Peinado-Olarte, R.L.; Göker, M. TYGS and LPSN: A Database Tandem for Fast and Reliable Genome-Based Classification and Nomenclature of Prokaryotes. Nucleic Acids Res. 2022, 50, D801–D807. [Google Scholar] [CrossRef] [Scilit]
  60. Emms, D.M.; Kelly, S. OrthoFinder: Phylogenetic Orthology Inference for Comparative Genomics. Genome Biol. 2019, 20, 238. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  61. Bowers, R.M.; Kyrpides, N.C.; Stepanauskas, R.; Harmon-Smith, M.; Doud, D.; Reddy, T.B.K.; Schulz, F.; Jarett, J.; Rivers, A.R.; Eloe-Fadrosh, E.A.; et al. Minimum Information about a Single Amplified Genome (MISAG) and a Metagenome-Assembled Genome (MIMAG) of Bacteria and Archaea. Nat. Biotechnol. 2017, 35, 725–731, Erratum in Nat. Biotechnol. 2018, 36, 660. [Google Scholar] [CrossRef] [Scilit]
  62. Buchfink, B.; Xie, C.; Huson, D.H. Fast and Sensitive Protein Alignment Using DIAMOND. Nat. Methods 2015, 12, 59–60. [Google Scholar] [CrossRef] [Scilit]
  63. The UniProt Consortium. UniProt: The Universal Protein Knowledgebase in 2025. Nucleic Acids Res. 2025, 53, D609–D617. [Google Scholar] [CrossRef] [Scilit]
  64. Pal, C.; Bengtsson-Palme, J.; Rensing, C.; Kristiansson, E.; Larsson, D.G.J. BacMet: Antibacterial Biocide and Metal Resistance Genes Database. Nucleic Acids Res. 2014, 42, D737–D743. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  65. Romanenko, L.A.; Uchino, M.; Falsen, E.; Lysenko, A.M.; Zhukova, N.V.; Mikhailov , V.V. Pseudomonas xanthomarina sp. nov., a novel bacterium isolated from marine ascidian. J. Gen. Appl. Microbiol. 2005, 51, 65–71. [Google Scholar] [CrossRef] [Scilit]
  66. Riesco, R.; Trujillo, M.E. Update on the Proposed Minimal Standards for the Use of Genome Data for the Taxonomy of Prokaryotes. Int. J. Syst. Evol. Microbiol. 2024, 74, 006300. [Google Scholar] [CrossRef] [Scilit]
  67. Kiyono, M.; Omura, T.; Inuzuka, M.; Fujimori, H.; Pan-Hou, H. Nucleotide Sequence and Expression of the Organomercurial-Resistance Determinants from a Pseudomonas K-62 Plasmid pMR26. Gene 1997, 189, 151–157. [Google Scholar] [CrossRef] [Scilit]
  68. Reniero, D.; Galli, E.; Barbieri, P. Cloning and Comparison of Mercury- and Organomercurial-Resistance Determinants from a Pseudomonas stutzeri Plasmid. Gene 1995, 166, 77–82. [Google Scholar] [CrossRef] [Scilit]
  69. Liebert, C.A.; Hall, R.M.; Summers, A.O. Transposon Tn21, Flagship of the Floating Genome. Microbiol. Mol. Biol. Rev. 1999, 63, 507–522. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  70. Reniero, D.; Mozzon, E.; Galli, E.; Barbieri, P. Two Aberrant Mercury Resistance Transposons in the Pseudomonas stutzeri Plasmid pPB. Gene 1998, 208, 37–42. [Google Scholar] [CrossRef] [Scilit]
  71. Hu, Y.; Wang, H.; Zhang, M.; Sun, L. Molecular Analysis of the Copper-Responsive CopRSCD of a Pathogenic Pseudomonas fluorescens Strain. J. Microbiol. 2009, 47, 277–286. [Google Scholar] [CrossRef] [Scilit]
  72. Decorosi, F.; Tatti, E.; Mini, A.; Giovannetti, L.; Viti, C. Characterization of Two Genes Involved in Chromate Resistance in a Cr(VI)-Hyper-Resistant Bacterium. Extremophiles 2009, 13, 917–923. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  73. Miranda, A.T.; González, M.V.; González, G.; Vargas, E.; Campos-García, J.; Cervantes, C. Involvement of DNA Helicases in Chromate Resistance by Pseudomonas aeruginosa PAO1. Mutat. Res.—Fundam. Mol. Mech. Mutagen. 2005, 578, 202–209. [Google Scholar] [CrossRef] [Scilit]
  74. Li, Z.; Liu, L.; Chen, J.; Teng, H.H. Cellular Dissolution at Hypha- and Spore-Mineral Interfaces Revealing Unrecognized Mechanisms and Scales of Fungal Weathering. Geology 2016, 44, 319–322. [Google Scholar] [CrossRef] [Scilit]
  75. Mitsunobu, S.; Ohashi, Y.; Makita, H.; Suzuki, Y.; Nozaki, T.; Ohigashi, T.; Ina, T.; Takaki, Y. One-Year In Situ Incubation of Pyrite at the Deep Seafloor and Its Microbiological and Biogeochemical Characterizations. Appl. Environ. Microbiol. 2021, 87. [Google Scholar] [CrossRef] [Scilit]
  76. Flemming, H.-C.; van Hullebusch, E.D.; Little, B.J.; Neu, T.R.; Nielsen, P.H.; Seviour, T.; Stoodley, P.; Wingender, J.; Wuertz, S. Microbial Extracellular Polymeric Substances in the Environment, Technology and Medicine. Nat. Rev. Microbiol. 2025, 23, 87–105. [Google Scholar] [CrossRef] [Scilit]
  77. Peterson, B.W.; He, Y.; Ren, Y.; Zerdoum, A.; Libera, M.R.; Sharma, P.K.; van Winkelhoff, A.-J.; Neut, D.; Stoodley, P.; van der Mei, H.C.; et al. Viscoelasticity of Biofilms and Their Recalcitrance to Mechanical and Chemical Challenges. FEMS Microbiol. Rev. 2015, 39, 234–245. [Google Scholar] [CrossRef] [Scilit]
  78. Gehrke, T.; Telegdi, J.; Thierry, D.; Sand, W. Importance of Extracellular Polymeric Substances from Thiobacillus ferrooxidans for Bioleaching. Appl. Environ. Microbiol. 1998, 64, 2743–2747. [Google Scholar] [CrossRef] [Scilit]
  79. Priyadarshanee, M.; Das, S. Spectra Metrology for Interaction of Heavy Metals with Extracellular Polymeric Substances (EPS) of Pseudomonas aeruginosa OMCS-1 Reveals Static Quenching and Complexation Dynamics of EPS with Heavy Metals. J. Hazard. Mater. 2024, 466, 133617. [Google Scholar] [CrossRef] [Scilit]
  80. Ta, K.; Peng, X.; Chen, S.; Xu, H.; Li, J.; Du, M.; Hao, J.; Lin, Y. Hydrothermal Nontronite Formation Associated with Microbes from Low-Temperature Diffuse Hydrothermal Vents at the South Mid-Atlantic Ridge. J. Geophys. Res. Biogeosci. 2017, 122, 2375–2392. [Google Scholar] [CrossRef] [Scilit]
  81. Robles-Fernández, A.; Areias, C.; Daffonchio, D.; Vahrenkamp, V.C.; Sánchez-Román, M. The Role of Microorganisms in the Nucleation of Carbonates, Environmental Implications and Applications. Minerals 2022, 12, 1562. [Google Scholar] [CrossRef] [Scilit]
  82. Chen, X.; Wang, Y.; Hou, Q.; Liao, X.; Zheng, X.; Dong, W.; Wang, J.; Zhang, X. Significant Correlations between Heavy Metals and Prokaryotes in the Okinawa Trough Hydrothermal Sediments. J. Hazard. Mater. 2024, 479, 135657. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  83. Jannasch, H.W.; Mottl, M.J. Geomicrobiology of Deep-Sea Hydrothermal Vents. Science 1985, 229, 717–725. [Google Scholar] [CrossRef] [Scilit]
  84. Vetriani, C.; Voordeckers, J.W.; Crespo-Medina, M.; O’Brien, C.E.; Giovannelli, D.; Lutz, R.A. Deep-Sea Hydrothermal Vent Epsilonproteobacteria Encode a Conserved and Widespread Nitrate Reduction Pathway (Nap). ISME J. 2014, 8, 1510–1521. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  85. Beste, D.J.V.; Bonde, B.; Hawkins, N.; Ward, J.L.; Beale, M.H.; Noack, S.; Nöh, K.; Kruger, N.J.; Ratcliffe, R.G.; McFadden, J. 13C Metabolic Flux Analysis Identifies an Unusual Route for Pyruvate Dissimilation in Mycobacteria Which Requires Isocitrate Lyase and Carbon Dioxide Fixation. PLoS Pathog. 2011, 7, e1002091. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  86. Yan, F.X.; Dong, G.R.; Qiang, S.; Niu, Y.J.; Hu, C.Y.; Meng, Y.H. Overexpression of △12, △15-Desaturases for Enhanced Lipids Synthesis in Yarrowia lipolytica. Front. Microbiol. 2020, 11, 289. [Google Scholar] [CrossRef] [Scilit]
  87. Hamada, M.; Toyofuku, M.; Miyano, T.; Nomura, N. Cbb3-Type Cytochrome c Oxidases, Aerobic Respiratory Enzymes, Impact the Anaerobic Life of Pseudomonas aeruginosa PAO1. J. Bacteriol. 2014, 196, 3881–3889. [Google Scholar] [CrossRef] [Scilit]
  88. Theßeling, A.; Rasmussen, T.; Burschel, S.; Wohlwend, D.; Kägi, J.; Müller, R.; Böttcher, B.; Friedrich, T. Homologous Bd Oxidases Share the Same Architecture but Differ in Mechanism. Nat. Commun. 2019, 10, 5138. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  89. Borisov, V.B.; Gennis, R.B.; Hemp, J.; Verkhovsky, M.I. The Cytochrome Bd Respiratory Oxygen Reductases. Biochim. Et Biophys. Acta (BBA)—Bioenerg. 2011, 1807, 1398–1413. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  90. Hwang, Y.; Roux, S.; Coclet, C.; Krause, S.J.E.; Girguis, P.R. Viruses Interact with Hosts That Span Distantly Related Microbial Domains in Dense Hydrothermal Mats. Nat. Microbiol. 2023, 8, 946–957. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  91. Bentzon-Tilia, M.; Severin, I.; Hansen, L.H.; Riemann, L. Genomics and Ecophysiology of Heterotrophic Nitrogen-Fixing Bacteria Isolated from Estuarine Surface Water. mBio 2015, 6, e00929-15. [Google Scholar] [CrossRef] [Scilit]
  92. Hesketh-Best, P.J.; January, G.G.; Koch, M.J.; Warburton, P.J.; Howell, K.L.; Upton, M. Whole Genomes of Deep-Sea Sponge-Associated Bacteria Exhibit High Novel Natural Product Potential. FEMS Microbes 2023, 4, xtad005. [Google Scholar] [CrossRef] [Scilit]
Figure 1. Sampling site and the location of the Tianxiu hydrothermal field.
Figure 1. Sampling site and the location of the Tianxiu hydrothermal field.
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Figure 2. The thiosulfate-oxidizing ability of strain 381-2T. Growth (a) and pH (b) curves of strain 381-2T under conditions with and without 10 mM Na2S2O3. (c) HPLC chromatogram showing the conversion of Na2S2O3 (10 mM) by strain 381-2T after 70 h incubation.
Figure 2. The thiosulfate-oxidizing ability of strain 381-2T. Growth (a) and pH (b) curves of strain 381-2T under conditions with and without 10 mM Na2S2O3. (c) HPLC chromatogram showing the conversion of Na2S2O3 (10 mM) by strain 381-2T after 70 h incubation.
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Figure 3. SEM images showing the surface-mineralized microorganisms attached to sphalerite (a) and the micrometer-scale dissolution pits on the surface of pyrrhotite (b,c). (d) EDS analysis results of the red cross region on the surface of rod-shaped microorganisms in (a); (e) EDS analysis results of the red cross region on the sphalerite surface in (a); (f) EDS analysis results of the red cross region in (c).
Figure 3. SEM images showing the surface-mineralized microorganisms attached to sphalerite (a) and the micrometer-scale dissolution pits on the surface of pyrrhotite (b,c). (d) EDS analysis results of the red cross region on the surface of rod-shaped microorganisms in (a); (e) EDS analysis results of the red cross region on the sphalerite surface in (a); (f) EDS analysis results of the red cross region in (c).
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Figure 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the phylogenetic relationships of strain 381-2T and other type strains. Bootstrap values were calculated from 1000 repetitions. Black nodes represent clades that are also present in the maximum-likelihood phylogenetic tree (Figure S2). The strain 381-2T obtained in this study is indicated in bold. The scale bar represents 0.005 substitutions per nucleotide position. This phylogenetic analysis was conducted using 30 sequences closely related to the 16S rRNA gene sequence of strain 381-2T. Cellvibrio japonicus Ueda107 T (CP000934) was used as the outgroup.
Figure 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the phylogenetic relationships of strain 381-2T and other type strains. Bootstrap values were calculated from 1000 repetitions. Black nodes represent clades that are also present in the maximum-likelihood phylogenetic tree (Figure S2). The strain 381-2T obtained in this study is indicated in bold. The scale bar represents 0.005 substitutions per nucleotide position. This phylogenetic analysis was conducted using 30 sequences closely related to the 16S rRNA gene sequence of strain 381-2T. Cellvibrio japonicus Ueda107 T (CP000934) was used as the outgroup.
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Figure 5. A maximum-likelihood phylogenomic tree was constructed based on a concatenated alignment of 120 single-copy marker proteins identified with GTDB-Tk using the best-fit model (Q.insect+F+I+R3). The tree depicts the phylogenetic relationships between strain 381-2T and type strains within the genus Stutzerimonas. Branch support was evaluated with 1000 bootstrap replicates. The strain 381-2T obtained in this study is indicated in bold. The scale bar corresponds to 0.05 substitutions per site. Cellvibrio japonicus Ueda107T (GCF_000019225.1) was designated as the outgroup.
Figure 5. A maximum-likelihood phylogenomic tree was constructed based on a concatenated alignment of 120 single-copy marker proteins identified with GTDB-Tk using the best-fit model (Q.insect+F+I+R3). The tree depicts the phylogenetic relationships between strain 381-2T and type strains within the genus Stutzerimonas. Branch support was evaluated with 1000 bootstrap replicates. The strain 381-2T obtained in this study is indicated in bold. The scale bar corresponds to 0.05 substitutions per site. Cellvibrio japonicus Ueda107T (GCF_000019225.1) was designated as the outgroup.
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Figure 6. Distribution of strain 381-2T in the global ocean based on the analysis of 16S rRNA gene (Identity > 99%). The green circle shows the location of strain 381-2T in the ocean.
Figure 6. Distribution of strain 381-2T in the global ocean based on the analysis of 16S rRNA gene (Identity > 99%). The green circle shows the location of strain 381-2T in the ocean.
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Figure 7. Polar lipid profile of strain 381-2T. (a) Total lipids; (b) glycolipids; (c) aminolipids; (d) phospholipids. PG, phosphatidylglycerol; PE, phosphatidylethanolamine; PL, unknown phospholipid; GL, unidentified glycolipid; L, unidentified lipid.
Figure 7. Polar lipid profile of strain 381-2T. (a) Total lipids; (b) glycolipids; (c) aminolipids; (d) phospholipids. PG, phosphatidylglycerol; PE, phosphatidylethanolamine; PL, unknown phospholipid; GL, unidentified glycolipid; L, unidentified lipid.
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Figure 8. Heatmap showing the presence of various metabolic genes encoded in strain 381-2T and Stutzerimonas type strains.
Figure 8. Heatmap showing the presence of various metabolic genes encoded in strain 381-2T and Stutzerimonas type strains.
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Figure 9. A maximum-likelihood phylogenomic tree of strain 381-2T and 322 high-quality genomes of Stutzerimonas. The tree was constructed based on a concatenated alignment of 120 single-copy marker proteins, using the best-fit model (Q.insect+F+I+R6). Gray and black nodes indicate bootstrap support values of 70–90% and >90%, respectively. Colored circles outside leaf names represent different habitats, and an inner diamond indicates that the strain encodes the tsdA gene. Cellvibrio japonicus Ueda107T was designated as the outgroup.
Figure 9. A maximum-likelihood phylogenomic tree of strain 381-2T and 322 high-quality genomes of Stutzerimonas. The tree was constructed based on a concatenated alignment of 120 single-copy marker proteins, using the best-fit model (Q.insect+F+I+R6). Gray and black nodes indicate bootstrap support values of 70–90% and >90%, respectively. Colored circles outside leaf names represent different habitats, and an inner diamond indicates that the strain encodes the tsdA gene. Cellvibrio japonicus Ueda107T was designated as the outgroup.
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Figure 10. Schematic representation of the key metabolic processes of strain 381-2T.
Figure 10. Schematic representation of the key metabolic processes of strain 381-2T.
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Table 1. Differential characteristics of strain 381-2T and its reference strains, Stutzerimonas zhaodongensis NEAU-ST5-21T and Stutzerimonas xanthomarina DSM 18231T. +, positive; −, negative; NR, not reported; w, weakly positive. DNA G+C contents are calculated from genome sequence.
Table 1. Differential characteristics of strain 381-2T and its reference strains, Stutzerimonas zhaodongensis NEAU-ST5-21T and Stutzerimonas xanthomarina DSM 18231T. +, positive; −, negative; NR, not reported; w, weakly positive. DNA G+C contents are calculated from genome sequence.
CharacteristicStrain 381-2TNEAU-ST5-21TDSM 18231T
Cell size (µm) 3.2–3.3 × 1.3–1.50.6–0.8 × 1.9–2.0 a0.2–0.3 × 1.6–1.8 b
Temperature for growth (°C):   
Range4–4020–40 a4–37 b
Optimum2828 aNR
pH for growth   
Range5.5–9.57–11NR
Optimum7.07.0NR
NaCl for growth (w/v, %):   
Range0–100–5 a0–8 a
Optimum4.50 aNR
Hydrolysis of:   
Starch+
Tween 20+
Tween 80+
API 20NE:   
Arginine+
Urea+
Gelatin+
Assimilation of:   
L-arabinose+
D-maltosew++
Capric acid++
DNA G+C content (%)60.2059.58 a60.35 b
a, Data from Zhang et al. [25]; b, data from Romanenko et al. [65].
Table 2. Fatty acid profiles of strain 381-2T and its reference strains, Stutzerimonas zhaodongensis NEAU-ST5-21T and Stutzerimonas xanthomarina DSM 18231T. Values are percentages of total fatty acids. Values lower than 0.2% in any of the three strains are not shown. All strains were tested under the same growth conditions. -, Not detected. The major fatty acids (>10%) of strain 381-2T are shown in bold.
Table 2. Fatty acid profiles of strain 381-2T and its reference strains, Stutzerimonas zhaodongensis NEAU-ST5-21T and Stutzerimonas xanthomarina DSM 18231T. Values are percentages of total fatty acids. Values lower than 0.2% in any of the three strains are not shown. All strains were tested under the same growth conditions. -, Not detected. The major fatty acids (>10%) of strain 381-2T are shown in bold.
Fatty AcidStrain 381-2TDSM 18231TNEAU-ST5-21T
C10:00.220.240.69
C12:08.3610.7227.4
C14:01.572.341.63
C16:021.1121.1610.47
C17:00.110.210.08
C18:00.310.260.17
C10:0 3-OH3.194.1810.36
C12:0 3-OH0.770.952.01
C17:1ω8c0.180.20.14
cyclo-C17:02.095.031.6
cyclo-C19:0ω8c1.811.870.89
iso-C11:0--0.21
iso-C11:0 3-OH0.250.250.96
iso-C13:00.130.20.56
iso-C17:00.510.380.32
C16:1 ω7c and/or C16:1 ω6c34.3631.9628.81
C18:1 ω7c and/or C18:1 ω6c23.8718.5912.21
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Ding, Y.; Liu, M.-H.; Li, Y.-K.; Wang, T.; Xu, X.-W.; Wu, Y.-H. Isolation and Characterization of a Novel Sulfur-Oxidizing Stutzerimonas Species from Hydrothermal Sediments and Its Adaptation to the Hydrothermal Environment. Microorganisms 2026, 14, 466. https://doi.org/10.3390/microorganisms14020466

AMA Style

Ding Y, Liu M-H, Li Y-K, Wang T, Xu X-W, Wu Y-H. Isolation and Characterization of a Novel Sulfur-Oxidizing Stutzerimonas Species from Hydrothermal Sediments and Its Adaptation to the Hydrothermal Environment. Microorganisms. 2026; 14(2):466. https://doi.org/10.3390/microorganisms14020466

Chicago/Turabian Style

Ding, Yi, Ming-Hua Liu, Yu-Kang Li, Tao Wang, Xue-Wei Xu, and Yue-Hong Wu. 2026. "Isolation and Characterization of a Novel Sulfur-Oxidizing Stutzerimonas Species from Hydrothermal Sediments and Its Adaptation to the Hydrothermal Environment" Microorganisms 14, no. 2: 466. https://doi.org/10.3390/microorganisms14020466

APA Style

Ding, Y., Liu, M.-H., Li, Y.-K., Wang, T., Xu, X.-W., & Wu, Y.-H. (2026). Isolation and Characterization of a Novel Sulfur-Oxidizing Stutzerimonas Species from Hydrothermal Sediments and Its Adaptation to the Hydrothermal Environment. Microorganisms, 14(2), 466. https://doi.org/10.3390/microorganisms14020466

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