Abstract
Microbial degradation of methylphosphonate (MPn) is an important pathway contributing to the ‘methane paradox’ in the oxic ocean. Vibrio spp. are suggested to participate in this process. However, little is known about the molecular basis, phylogenetic breadth and catabolic efficiency of methane production in Vibrio species. Here, 18 Vibrionales strains known to be effective in MPn demethylation were obtained. The most effective strains, i.e., Vibrio gallaecicus HW2-07 and HW2-08, can convert 70%–80% of amended MPn into methane in 5 days. Estimations based on quantitative PCR determination indicated that Vibrio spp. were influential contributors to marine methane production. Genes flanking the common phn genes suggested a divergent gene arrangement and grouped the phn operons into nine types. This was consistent with the phylogeny of phnJ and phnL. The phn operons of cluster I and II were identified frequently in Vibrio isolates and were common in coastal seas and the open ocean. Addition of MPn increased expression of the phn genes, as well as an unexpected gene that encodes an acyltransferase (act), which frequently occurred in cluster I–IV operons. This study provided experimental evidence and theoretical support for a further understanding that Vibrio spp. may play important roles in aerobic marine methane production.
Supplementary Information
The online version contains supplementary material available at 10.1007/s42995-025-00278-w.
Keywords: Methylphosphonate demethylation, Aerobic methane production, Marine Vibrio strains, Phn operon
Introduction
Methane (CH4) is a potent greenhouse gas, second only to carbon dioxide, that plays important roles in global warming and ozone destruction (Reeburgh 2007). Currently, the ocean is considered an important source of atmospheric methane, contributing around 1–4% of the global methane budget through sea-air exchange (Karl et al. 2008; Reeburgh 2007; Ye et al. 2020). It is widely thought that biologic methane production is mainly mediated by strict anaerobic archaea (Reeburgh 2007; Ulrich et al. 2018). All methanogens are obligate methane-producers that obtain all or most of their energy from methanogenesis, producing methane as the end-product of their anaerobic respiration (Liu and Whitman 2008). Three types of methanogenic pathways are known: CO2-reduction that can reduce CO2 to methane with H2 as the primary electron donor, methyl-group dismutation and, the aceticlastic reaction, which splits acetate, oxidizing the carboxyl-group to CO2 and reducing the methyl group to CH4. In methyl-group dismutation, the methylated compounds (methanol, methylated amines and methylated sulfides) are transferred to a cognate corrinoid protein and then to CoM (Coenzyme M). Subsequently, methyl–CoM enters the methanogenesis pathway and is reduced to CH4 (Liu and Whitman 2008). However, methane supersaturation, with respect to the atmosphere, in oxygen-rich ocean waters has been widely observed (Hilt et al. 2022; Sun et al. 2018; Ye et al. 2016), presenting the ‘oceanic methane paradox’ (Kiene 1991). Other methanogenic pathways may exist that explain the oceanic methane paradox, such as degradation of methylphosphonate (MPn) and dimethylsulfoniopropionate (DMSP) (Ye et al. 2020). Repeta et al. (2016) determined that MPn was one of the most important dissolved organic compounds in surface seawater of the North Pacific Ocean. Several abundant groups of marine microorganisms, including SAR11 (Born et al. 2017) and Thaumarchaetoa (Metcalf et al. 2012), synthesized MPn and the key gene mpnS was found to be widely distributed in marine microbes. These findings suggest substantial biotic production of MPn in marine environments, but the active MPn consumers and their potential contribution to methane accumulation in oxic seawater remain unknown.
Marine microbes, such as Trichodesmium erythraeum IMS 101, can degrade MPn to mitigate their phosphorus (P) limitation, and release methane into seawater (Karl et al. 2008). Several marine bacterial groups were considered to demethylate MPn and to contribute to methane production in oxic seawater, including Pelagibacterales, Pseudomonas, Sulfitobacter, Rhodobacterales and Vibrionales spp. (Carini et al. 2014; Martinez et al. 2013; Repeta et al. 2016; Sosa et al. 2017; Ye et al. 2020). Recently, several Vibrio spp. were observed to thrive in response to the addition of MPn during seawater incubation experiments; these included Vibrio nigripulchritudo (Martinez et al. 2013) and Vibrio atlanticus (Ye et al. 2020). These Vibrio species are important and ubiquitous heterotrophic bacteria, sharing the common characteristics of halophilism, short generation times and a range of metabolic capabilities (Thompson et al. 2006; Zhang et al. 2018). These organisms can utilize a diverse range of organic carbon compounds in the marine environment, including chitin, alginic acid, agar, laminarin and fucoidan (Farmer et al. 2005; Zhang et al. 2018), and immediately respond to nutrient enrichment through rapid growth (Liang et al. 2021). Although Vibrio spp. usually comprise up to ~ 1% of the bacterioplankton community in coastal waters, they can thrive to become the dominant members of the bacterial population during algal blooms or micronutrient input (Thompson and Polz 2006; Wang et al. 2020; Zhang et al. 2018). Furthermore, ongoing ocean warming also favors the global spread of Vibrio spp. (Vezzulli et al. 2012), causing an increase in marine carbon and phosphorus cycling. Vibrio spp. may be among the most important bacterial groups executing MPn demethylation and methane production in oxic oceans.
The ability bacteria to demethylate MPn into methane via the phn operon (Ulrich et al. 2018) was first identified in Escherichia coli (Chen et al. 1990; Metcalf and Wanner 1993a, b). The phn operon in E. coli contains 14 functional genes (phnCDEFGHIJKLMNOP) encoding the C-P lyase pathway, which catabolizes a broad suite of phosphonates (e.g., MPn, 2-aminoethylphosphonic acid). phnCDE encodes the specific transporter of phosphonates; phnGHIJKLM encodes the basic catalytic unit to break the C-P bond and phnFNOP encodes regulatory or related necessary proteins (Martinez et al. 2013). In the presence of PhnG, PhnH and PhnL, PhnI is required to catalyze the nucleophilic attack of methylphosphonate on the anomeric carbon of MgATP to form adenine and α-D-ribose-1-methylphosphonate-5-triphosphate (RPnTP). Then, PhnM releases pyrophosphate from the resulting 5’-phosphoribosyl-α-1-phosphonate to allow PhnJ to cleave the C–P bond via a S-adenosyl methionine (SAM)-dependent glycine-radical reaction mechanism and release CH4. Finally, the combined action of PhnP and PhnN converts the resulting cyclic ribose into 5-phosphoribosyl-α-1-diphosphate (PRPP) (Amstrup et al. 2023; Kamat et al. 2013). Among these genes, phnJ is strictly conserved and encodes a protein, PhnJ, directly involved in methane production (Kamat et al. 2013; Sosa et al. 2019). In addition, gene composition and structure of the phn operon varies greatly among bacterial species (Huang et al. 2005; Stosiek et al. 2020). In contrast with E. coli, V. nigripulchritudo ATCC 27043 has a phn operon containing 13 genes, phnCDEFGHIJKLMNP, without phnO (Martinez et al. 2013), whereas the phn operons in other Vibrio species, such as V. atlanticus, remain unknown. Further investigations into the structural and functional diversity of phn operons in Vibrio spp. are needed to better understand their roles in the process of MPn demethylation.
The aims of this study were to explore the diversity of phn operons in Vibrio spp., to confirm the abundance of MPn-demethylating Vibrio strains in natural environments and to determine their potential contributions to marine methane production. In this study, MPn-incubation experiments were conducted and methane measurements made, to screen for MPn-demethylating Vibrio strains. Genomic and transcriptomic analyses were further performed to find the related genes responsible for MPn demethylation process in Vibrio species. Also, bioinformatic and quantitative analyses were conducted to explore the distribution and abundance of key phn genes.
Materials and methods
Isolation and purification of Vibrio strains
Coastal seawater was collected from the Zhanqiao pier area of Qingdao (ZQ; 120.377°E, 36.04°N) in May of 2020, May and June of 2021. Enrichment experiments of MPn-demethylating microbes were then undertaken following (Martinez et al. 2013; Ye et al. 2020). Sixty mL of seawater was transferred into 100-mL sterile vials, amended with glucose (C), nitrate (N) and MPn at a final concentration of 1000 μmol L−1, 160 μmol L−1 and 10 μmol L−1, respectively, and incubated at 28 °C in a shaker for 5 days; this comprised the seawater-MPn-incubation system. During incubation, diluted samples were regularly spread onto the surface of marine 2216E agar (MA; 10–3–10–5) and TCBS (thiosulfate citrate bile salts sucrose agar; 10–1–10–3) plates to retrieve MPn-demethylating Vibrio cultures. Single cultures, isolated from the seawater-MPn-incubation system, were purified at least three times using the plate streaking method on MA plates prior to identification of 16S rRNA gene sequences using the EzBioCloud database (Yoon et al. 2017b). Several Vibrio strains were retrieved from the − 80 °C glycerol stock (15%) in our laboratory, and purified on MA plates for subsequent CH4 determination.
Vibrio-MPn incubation and CH4 measurement
The CH4 production of Vibrio strains was measured to determine their MPn-demethylating ability. Acid-washed headspace vials, containing 60 mL of liquid medium and 40 mL of headspace, were used in the incubation experiments. Each Vibrio strain was washed clear of MA medium, inoculated into 60-mL MPn medium (1:100), and then incubated at 28 °C for 5 days as previously described (Ye et al. 2020). The MPn medium contained low-phosphate seawater (Pi < 0.02 μmol L−1) amended with 1000 μmol L−1 C, 160 μmol L−1 N and 10 μmol L−1 MPn. After the 5 days incubation, 2 mL of gas was extracted from the headspace using a gas-tight syringe (VICI, Baton Rouge, USA), and then measured on a gas chromatograph (Shimadzu GC-14B) equipped with a flame ionization detector (FID). The dissolved CH4 concentrations were calculated using the Bunsen coefficient (Ruppel and Kessler 2017). To confirm the MPn-demethylating ability of Vibrio spp., incubations of V. gallaecicus HW2-07 with MPn as the sole carbon and phosphorus sources, a series of glucose concentrations (10, 100, 200, 500 and 1000 μmol L−1) and a series of MPn concentrations (0.001, 0.01, 0.1, 1 and 10 μmol L−1) were carried out.
During the incubations, the growth of Vibrio spp. was measured using spectrophotometry at 600 nm. An additional 1 mL from each sample was stained with SYBR Green and the cells were counted using an influx flow cytometer (Beckman-FC-500) as previously described (Ye et al. 2020). All the experiments were conducted with three replicates.
Genome sequencing and analysis
Each Vibrio strain was maintained and cultured on MA medium, and washed with 0.85% sodium chloride solution prior to centrifugation at 10,000 rpm for 15 min. Genomic DNA was extracted using a Blood & Cell Culture DNA Midi Kit (Qiagen, USA) according to the manufacturers protocol, and then sequenced on the MGISEQ-2000 platform and PacBio Sequel II system at BGI (Shenzhen, China). Clean reads were assembled by Unicycler v 0.4.8 (Wick et al. 2017).
Assembled genomes were annotated with the Rapid Annotation using Subsystem Technology (RAST) pipeline (Aziz et al. 2008), and further annotation was performed against the NCBI non-redundant proteins (NR) database (Pruitt et al. 2005), clusters of orthologous groups of proteins (COG) database (Tatusov et al. 2000), Kyoto encyclopedia of genes and genomes (KEGG) database (Kanehisa et al. 2015), gene ontology (GO) database (Ashburner et al. 2000) and swiss-prot database (Consortium 2020). The PHASTER (Arndt et al. 2016) web server was used for the rapid identification and annotation of prophage sequences within Vibrio genomes and plasmids. To determine the definitive species of sequenced Vibrio strains, the genome distance, based on the average nucleotide identity (ANI) (Yoon et al. 2017a) and DNA-DNA hybridization (DDH) (Meier-Kolthoff et al. 2013), was calculated. The online tool IslandViewer 4 was used to predict the genomic regions (genomic islands) with abnormal sequence composition that was horizontally transferred (Bertelli et al. 2017).
Based on the valid Vibrio species records of LPSN (https://lpsn.dsmz.de/), 105 complete genomes were selected from the NCBI database and the sequenced genomes to perform the core genome phylogenetic analysis, as previously described (Lin et al. 2018). In addition, the phn operons in 101 non-complete Vibrio genomes were confirmed through a protein reference sequence search and conversed domain (CD) identification in NCBI. The phn gene sequences from Vibrio genomes were used to perform phylogenetic analysis and local database construction. The maximum-likelihood (ML) trees of the phn gene sequences were constructed using MEGA v10.2.2 (Kumar et al. 2018). In addition, the clades of Vibrio spp. were classified according to a previous standard (Jiang et al. 2022).
Transcriptome sequencing and analysis
Vibrio strains were pre-induced in 10 mL MPn medium for 24 h prior to mass culturing. Triple treatment samples were setup in Erlenmeyer flasks with MPn medium (MPn-incubation samples) and MPn medium with phosphate (MPn + Pho incubation samples). The control samples were subject to the same concentrations of C, N and phosphate (Pi = 10 μmol L−1, phosphate incubation samples). The phosphate solution (pH 7.6) was made using 10 μmol L−1 NaH2PO4 and 10-μmol L−1 Na2HPO4. After incubation for 16–20 h (the latent period of the logarithmic phase), cultures were harvested by centrifugation at 10,000 rpm for 5 min, then frozen in liquid nitrogen, and finally stored at − 80 °C. The RNA library was prepared using an Illumina TruSeq™ RNA Sample Prep Kit method, and transcriptome sequencing were performed at Majorbio (Shanghai, China). Clean data mapping was conducted using the Bowtie program with Burrows-Wheeler method (Langmead et al. 2009). Quantitative analysis of gene expressions was performed using RSEM (RNA-Seq by Expectation–Maximization) with the TPM (Transcripts Per Million reads) index (Li and Dewey 2011). Operons of transcripts was predicted using Rockhopper (Tjaden 2020). Differentially expressed genes (DEGs) were obtained based on the normalized FPKM (Fragments Per Kilobase of transcript per Million mapped reads) values in alginate- and glucose-treated samples. False Discovery Rate (FDR) control (Trapnell et al. 2010) was used to correct for the P-value. Genes with an FDR value ≤ 0.05 and |logFC|≥ 1 were assigned as differentially expressed. Differences in gene transcription (i.e., up-regulated and down-regulated genes) were analyzed with a one-way ANOVA.
Vibrio-specific phnJ and phnL primers design
phnJ and phnL have been successfully used in the PCR-dependent study of Wang et al., (2017). Here sequences of phnJ and phnL from the Vibrio genomic data were used to design Vibrio-specific primers. CLUSTALW (Thompson et al. 1994) and the online program GeneFisher 2 (Giegerich et al. 1996) were used to align the phnJ/L sequences and calculate their consensus sequences. Several pairs of degenerate primers were designed to cover the conversed regions on the phnJ or phnL sequences (Table S1). PCR was conducted to verify the accuracy of these primers using the Vibrio strains that already possess the complete genome data and the bacterial strains isolated from the seawater-MPn-incubation system. The combination of phnJ-94F/895R and phnL-63F/672R was able to generate long products of phnJ and phnL (Table S2), whereas phnJ-620F and phnJ-895R target the CD containing four cysteine residues of the PhnJ sequence, and were able to identify the phnJ gene in all CH4-producing strains. The primers phnL-370F and phnL-672R were also very effective in phnL gene detection in most Vibrio strains.
High-throughput sequencing and qPCR using Vibrio-specific primers
Sea water samples were collected from the coast near ZQ by filtering 500-mL seawater through 0.22-μm polycarbonate membranes (GTTP, 47 mm, Millipore). Total DNA was extracted using the DNeasy PowerSoil Kit (Qiagen, USA), according to the protocol. The concentration and quality of the DNA extracts were determined by a NanoDrop 2000 spectrophotometer (ThermoFisher, USA) and agarose gel electrophoresis. High-throughput sequencing was performed at Majorbio (Shanghai, China) using the 300-bp PE Illumina MiSeq sequencing platform with primers phnJ-620F/895R and phnL-370F/672R to estimate the gene abundance. OTUs were generated with 97% similarity, and annotated against the NCBI nucleotide database (NT_v20200604) and the local phnJ/phnL databases.
Oceanic seawater was collected from the northwestern Pacific Ocean (NPO) and incubated with 100 μmol L−1 C, 16 μmol L−1 N and 1 μmol L−1 MPn. The seawater samples were filtered using 0.22-μm polycarbonate membranes at 0 h (NPO) and 72 h (NPO-MPn). The abundance of the gene phnL was quantified by a SYBR Green qPCR method using the primers phnL-370F and phnL-672R (Table S1). The reactions were performed in triplicate according to the following profile: an initial denaturation at 95 °C for 2 min, followed by 40 cycles of a 3-step reaction at 95 °C for 20 s, 53 °C for 20 s and 72 °C for 40 s. The 20-μL qPCR system involved 10 μL 2 × SYBR Premix Ex Taq II, 0.4 μL 50 × ROX Reference Dye II, 0.8-μL primers (10 μM), 6-μL sterile double-distilled water and 2-μL DNA samples. The total Vibrio abundance was determined as previously using the Vibrio-specific primers (Wang et al. 2020). All qPCR assays were performed using an Applied Biosystems QuantStudio® 5 Real-Time PCR System in triplicate, and the efficiencies of the qPCR reactions varied from 95 to 105%, with R2 values > 99%.
Analysis of phnJ/L genes in Tara Ocean dataset
Based on the assigned KEGG identifiers, the phnJ (K06163) and phnL (K05780) genes were queried in the Ocean Microbial Reference Gene Catalogue (OM-RGC) dataset (http://ocean-microbiome.embl.de/companion.html) from the Tara Ocean expedition (Sunagawa et al. 2015). These phnJ/L sequence records were analyzed against the nucleotide database of NCBI and the local database of phn genes in order to find the phnJ/L sequences belonging to Vibrio. The single copy gene recA (K03553) was used as a reference gene to normalize the abundance of phnJ/L and uncover their global distribution and diversity.
Results
CH4 production by Vibrio strains
In this study, CH4-producing capability of 46 Vibrionales isolates, which were affiliated with at least 17 species (Table S2), were examined. Of these, 18 strains from 12 Vibrio species were able to demethylate MPn into CH4 (Fig. 1 and Table S2). Incubation with MPn led to rapid cell growth of Vibrio species during the first 2–3 days (Figs. S1 and S2) and methane release was evident within 5 days (Fig. 1). Vibrio gallaecicus HW2-07 and HW2-08 were relatively more efficient in MPn demethylation than other strains, producing 1441.0 ± 195.6 nmol L−1 and 1292.3 ± 182.7 nmol L−1 CH4 per day, respectively. Vibrio cyclitrophicus WXL032 showed the weakest MPn-demethylating capability among all strains, releasing CH4 at an average rate of 420.4 ± 46.3 nmol L−1 d−1. The CH4 production rates of the other strains ranged from 576.7 ± 56.5 to 824.4 ± 65.8 nmol L−1 d−1. Thus, it was calculated that most of the Vibrio strains demethylated approximately 23%–45% of the amended MPn (10 μmol L−1) after incubation for 5-days, whereas highly efficient V. gallaecicus strain HW2-07 and HW2-08 could convert 74% and 82%, respectively, approaching the efficiency of E. coli BL21 (Fig. S3). Several none-Vibrio strains were also isolated from the seawater-MPn-incubation system, including six Rhodobacterales strains, one each of Oceanospirillales and Sphingomonadales (Table S3). Those none-Vibrio strains were only able to convert 0.2%–3.9% of amended MPn during the 5-day incubation period (Fig. S4).
Fig. 1.

The daily methane production of Vibrio strains demethylating MPn (10 μmol L−1). The error bars present 1 standard deviation (SD) of at least triplicate samples
To confirm the MPn-demethylating ability of V. gallaecicus HW2-07, MPn was added as the sole carbon and phosphorus sources to the incubation. The results show that methane was present in the incubation system of strain HW2-07 (Fig. S5A). Incubation of HW2-07, under a series of glucose concentrations, showed that a high concentration of glucose can affect methane production. However, when the glucose concentration was greater than 200 μM, its influence on methane production had only a limited effect (Fig. S5B). Incubation of HW2-07 under a series of MPn concentrations found that methane production was low in the low MPn groups, although this may be attributed to the inaccurate detection method (Fig. S5C).
Diversity of the phn operons in Vibrio spp.
Six of the MPn-demethylating strains, including V. mediterranei QT6D1 (WXL531), V. cyclitrophicus WXL032, V. gigantis SQM2, V. pomeroyi YSX02, V. chagasii YSX05 and V. gigantis YSX12, were verified previously than the other strains which were listed in the Table S2, and the complete genomes were sequenced. The phn operon was identified in the genomes of all six strains. The phn operon in V. mediterranei WXL531 contains ten concatenated genes phnFGHIJKLMNP whereas phnCDEE are located separately. Another five strains share the identical phn operon, including 13 linked genes phnCDEFGHIJKLMNP, suggesting diverse types of phn operons in Vibrio strains.
Over 5000 genomic assemblies of Vibrio spp., available in the NCBI database, and corresponding to 133 Vibrio species with validly published names in the LPSN database (Table S4), were investigated. Of these, 116 phn operons, belonging to 12 Vibrio clades and 32 Vibrio species, were identified. Eleven representative phn operons were identified from 345 complete Vibrio genomes (Table S4) and these were mainly affiliated with the Vibrio clades Cholerae, Anguillarum, Nigripulchritudo, Rumoiensis, Mediterranei, Splendidus and Vulnificus (Fig. 2). Based on the gene composition, these phn operons could be roughly classified into two groups. One group contained five phn operons with only phnGHIJK that was located in the larger chromosome (Chr. 1). These were affiliated with the clades Cholerae, Anguillarum, Rumoiensis and Vulnificus. The other group (six operons) possessed at least the critical genes phnG ~ phnP in their operons, and belonged to the clades Nigripulchritudo, Rumoiensis, Mediterranei and Splendidus. Both two types of the phn operons occurred in V. casei DSM 22364 (clade Rumoiensis). All six MPn-demethylating strains validated in this study belonged to the latter group. The phn operons of clades Nigripulchritudo and Rumoiensis were in Chr. 1, whereas those of Mediterranei and Splendidus existed in the smaller chromosome (Chr. 2). According to the complete assemblies, not all Vibrio spp. possessed the phn operons. Even different strains of the same species were not conserved in the presence of the phn operon, such as V. cyclitrophicus WXL032 (+) and V. cyclitrophicus ECSMB 14105 (−). This may well suggest that the phn operons in Vibrio spp. were originally gained via horizontal gene transfer (HGT).
Fig. 2.
Phylogenetic analysis of the genus Vibrio based on the maximum-likelihood tree of core genomic protein sequences from 105 complete genomes. The defined clades that do not contain phn operons in genomes were collapsed in triangles, and the number of complete genomes included in the collapsed branches is indicated in the parentheses. Genomes that contain phnG ~ phnK were labeled with blue dots, whereas those genomes include at least phnG ~ phnP were colored by orange. Location of these phn operons in the larger chromosome (Chr. 1) or the smaller one (Chr. 2) is indicated in the parentheses. Genomes from our laboratory were marked with the circle markers
The composition and location (including upstream and downstream genes) of the phn operons in Vibrio genomes were classified into nine clusters according to their differential gene arrangement (Fig. 3). The topologies of phnJ (Fig. 3) and phnL (Fig. S6) trees, based on the ML approach, were very similar and the phn operons divided both into nine clusters, indicating the synchronized evolution of the single gene (phnJ or phnL) and their complete operon. The phn operons of cluster I and II accounted for nearly 50% (56 Vibrio spp.) of the total Vibrio spp. investigated in this study. Clusters I, IV, VI and VII operons of the key phn genes, all contained phnC ~ phnP; clusters II, III and V involved phnF ~ phnP; cluster VIII operon had phnG ~ phnP, whereas cluster IX operon included only phnG ~ phnK.
Fig. 3.
Phylogenetic analysis of phnJ sequences from 116 Vibrio genomes and their related phn operons. The bootstrap values ≥ 70% were shown in the phylogenetic tree. phnJ sequences from NCBI complete genomes were marked with blue or orange dots, whereas those sequences from our laboratory were labeled with orange circles. Genomes that contain phnG ~ phnK were labeled in blue dots, whereas those genomes include at least phnG ~ phnP were colored by orange. The branches of the same species were folded as much as possible, and their quantity was displayed in the parentheses. RidA, reactive intermediate/imine deaminase A family protein; PAS, PAS domain-containing protein; hyp, hypothetical protein; act, acetyltransferase; GST, glutathione S-transferase; GreA/GreB, GreA/GreB family transcription elongation factor; PNTH, P-loop containing nucleoside triphosphate hydrolases; fadBA, fatty acid oxidation complex subunit alpha FadB and acetyl-CoA C-acyltransferase FadA; oxr, oxidoreductase
There were two frequently up-regulated genes near the phnC of cluster I, encoding reactive intermediate/imine deaminase, for the neighbor genes of the phn operon, a family protein (RidA) and a PAS domain-containing protein (e.g., V. pomeroyi YSX02 in Fig. 4). Both cluster II and IV had a DUF368-encoding gene located upstream of the phn operon and the phnCDEE occurred far away from other key genes (e.g., V. mediterranei WXL531 and Vibrio sp. 10N.286.48.B7). Cluster III did not have the DUF368-encoding gene and the phnCDEE were close to other phn genes (e.g., V. aquaticus BEI207). All these four operon types had a gene encoding acetyltransferase (act) next to phnP. In the cluster V operon, there were four genes between phnCDEE and phnF ~ phnP, respectively, encoding glutathione S-transferase (GST), U32 and GreA/GreB family transcription elongation factors (e.g., V. casei DSM 22364). The phn genes in Vibrio rumoiensis FERM P-14531 (cluster V) were closely joined to the questionable phage sequences predicted by PHASTER. Vibrio spp. affiliated with cluster VII, e.g., V. nigripulchritudo SFn1, commonly had a gene encoding oxidoreductase (oxr) next to the phn operon. The phn operon of cluster VI contained phnC ~ phnP (e.g., V. atypicus DSM 25292), whereas phn genes of cluster VIII were located between phnUT and phnS (encoding 2-aminoethylphosphonate transport system) (e.g., V. nereis DSM 19584). The phylogenetical conservation in phn operon clustering and the frequent occurrence of adjacent genes may well indicate that the evolution of phn operons in Vibrio spp. occurred together with the gene rearrangement.
Fig. 4.
The expressed gene number and the fold change of phn gene expression in the Vibrio strains when they were separately incubated with MPn and phosphate (A ~ C). act, the gene encoding acetyltransferase. The genes that were significantly upregulated (ANOVA, P < 0.05) in the MPn-incubation system are labeled with asterisks (*) in the figure. The orange area showed the expressed gene number when vibrio demethylated MPn as the sole phosphorus source, whereas the blue area presented the gene number expressed in the phosphate incubation samples
Most of the Vibrio genomes had a single copy of the phn operon. However, V. casei DSM 22364 had another type of phn operon that only contained genes phnG ~ phnK, representing the cluster IX operon (Fig. 3). Intriguingly, the phnJ sequences from cluster IX were highly homologous, and encoded exactly the same PhnJ protein (100% identity with WP_019282993.1). This phn operon was surrounded by insertion sequences (ISs), such as the genes encoding IS3 and IS66 family transposes in the upstream and downstream region. Consequently, the genomic region of phnG ~ phnK was predicted to be within a genomic island. In addition, Vibrio vulnificus Vv180806 had genes encoding inovirus Gp2 family protein and bacteriophage abortive infection AbiH family protein in the upstream region of phn operon, suggesting the possibility of HGT being mediated by phage induction. These findings indicate the phn operons of cluster IX might have the same genetic resource and be highly conserved during their dispersal among Vibrio spp.
Transcription of MPn-demethylating genes in Vibrio isolates
Of the six Vibrio isolates in this study, the high MPn-demethylating strains, i.e., V. mediterranei WXL531, V. pomeroyi YSX02 and V. cyclitrophicus WXL032, were chosen to perform transcriptome analysis. These three strains exhibited different response patterns upon change of P resource (Fig. S1, Fig. 4A–C and Table S5). When incubated with MPn, V. mediterranei WXL531 grew much more rapidly than V. cyclitrophicus WXL032 (Fig. S2). In addition, the growth status of V. mediterranei WXL531 showed a similar trend in MPn- and phosphate incubation systems, whereas the growth of V. cyclitrophicus WXL032 in the MPn-incubation system was relatively subdued compared to that in the phosphate incubation system (Fig. S7). This suggests that V. mediterranei WXL531 could adapt rapidly to the Pi-limited environment with MPn.
At the transcriptional level, 42 and 11 genes of V. mediterranei WXL531 were significantly up-regulated or down-regulated (ANOVA, P < 0.05), respectively, in the MPn-incubation samples, when compared with genes in the phosphate incubation samples (Table S5). In contrast, expression of 136 and 95 genes in V. pomeroyi YSX02 was significantly up-regulated and down-regulated (ANOVA, P < 0.05), respectively, in the MPn-incubation system. For V. cyclitrophicus WXL032, 360 genes were repressed under incubation with MPn (Fig. 4C) and the expression of more than 860 genes was regulated (Table S5). Although the regulation of gene expression in response to P source change differed greatly among these strains, phn gene expressions were up-regulated in the MPn-incubation samples of all three strains (Fig. 4, Fig. S8 and Table S5). In addition, transcriptomic analyses of WXL531 and YSX02 under high MPn and high phosphate conditions showed that almost all phn gene expressions were up-regulated compared to the phosphate incubation group (Fig. S9). It is noteworthy that the gene act, beside phnP in cluster I–IV operons with unknown function, was also significantly up-regulated in the MPn-amended incubation (ANOVA, P < 0.05). Operon prediction of transcriptomes indicated that act may be a constant component of the phn operons. The act gene frequently occurs in the phn operons of many other bacteria, such as Agrobacterium tumefaciens, Mesorhizobium loti, Sinorhizobium meliloti and Thermus thermophilus (Fig. S10), and their encoding proteins shared 44%–51% identity with those in Vibrio spp.
Diversity and abundance of phnJ/phnL revealed by Vibrio-specific primers
Vibrio-specific primers targeting the phnJ and phnL genes (Table S1) were designed and optimized to examine the phn operon types in MPn-demethylating isolates. Phylogenetic analyses of phnJ and phnL indicated that all isolates were mainly affiliated with the phn operon clusters I, II, IV, V and VII (Fig. 5). Clusters I, II, IV, V and VII showed similar CH4 producing rates (ranging from 576.7 ± 56.5 to 824.4 ± 65.8 nmol L−1 d−1; Fig. 1). The highly efficient isolates, i.e., V. gallaecicus HW2-07 and HW2-08, were not classified into any phn operon cluster, indicating that new clusters may exist and even potentially novel genes involved in MPn demethylation.
Fig. 5.
Phylogenetic analysis of the phnJ (A) and phnL (B) sequences from the Vibrio genomes, the isolated vibrios and Tara Ocean datasets. The bootstrap values ≥ 70% were shown in the phylogenetic tree. Sequences from the complete genomes of our laboratory were highlighted with bold letters, whereas those sequences from sequencing PCR products of isolated strains were colored with orange, and the primers used for the sequences were presented in parentheses. Sequences from the Tara Ocean datasets were colored by blue. The branches of the same species were folded as much as possible, and their quantity was displayed in the parentheses
High-throughput sequencing was performed to evaluate the Vibrio-specificity of the phnJ and phnL primers and to estimate the abundance and diversity of phnJ and phnL in the ZQ coastal sample. As a result, only 1 of 147 phnJ OTUs (133 of 100 144 reads) was assigned to Vibrio spp. (Table S6). The phnJ primers appeared to preferentially target Rhodobacterales in the coastal microbial community. This might suggest that the highly conversed phnJ was insufficient for Vibrio-specific identification in the microbial community. Unlike phnJ, the Vibrio OTUs based on phnL sequence homology (40 OTUs, 40 999 reads) accounted for approximately 50% of total reads (446 OTUs, 82 004 reads) and indicated that clusters I, II and V were the most abundant phn operon types in coastal seawater (Table S6).
The Vibrio-specific phnL primers were subsequently used to primarily quantify the abundance of MPn-demethylating Vibrio species in microbial communities. In the coastal sample of ZQ, the phnL abundance was determined as 5.2 × 106 copies L−1. In the oceanic samples, the methane concentration was 3 nmol L−1 in natural NPO seawater (0 h) and the phnL abundance was beneath the detection limit. After addition of MPn, the methane concentration increased to 385 nmol L−1 in NPO-MPn (72 h) and the phnL abundance was determined as 3.9 × 106 copies L−1. Correspondingly, the abundance of Vibrio-16S rRNA gene increased from 35 copies L−1 to 6.9 × 106 copies L−1 in three days, exhibiting a rapid response to the amended nutrients.
Diversity of phnJ/phnL in Tara Ocean data
A total of 285 and 253 records of phnJ (K06163) and phnL (K05780), respectively, were retrieved from the Tara Ocean dataset. Among these records, only eight phnJ and seven phnL sequences were assigned to Vibrionales and these were mainly affiliated with the phn operon clusters I, II, III and VI (Fig. 5). The phnJ and phnL sequences were relatively more abundant (on average > 4 × 10–4 normalized by recA) in the samples from the upper water layers (depth ≤ 150 m) of TARA_123 and TARA_125 (Fig. 6 and Table S7), including two V. brasiliensis sequences (cluster III), two V. shilonii sequences (cluster II), two Vibrionales sp. SWAT-3 sequences (cluster I) and another three Vibrionales sequences. Vibrionales sp. SWAT-3 was also observed in TARA_093, whereas Photobacterium angustum (cluster VI) was mainly found at coastal sites.
Fig. 6.

Distribution of the Vibrionales phnJ (A) and phnL (B) sequence records found in the Tara Ocean dataset. Stations were labeled with blue dots. The sequence IDs were presented in parentheses, and their relative proportions in the samples were shown by the pie charts. DCM, deep chlorophyll maximum layer; SRF, surface water layer; MIX, marine epipelagic mixed layer; MES, mesopelagic zone. The suffixes present the sample fractions, such as 0.22–3 means the sample was collected with the fraction size between 0.22 μm and 3 μm
Discussion
Methane, which exerts important roles in global warming and ozone destruction, has become a potent greenhouse gas. It has been reported that the concentration of CH4 in the upper oxygen-rich ocean waters is supersaturated. Several Vibrio species are able to grow rapidly in response to the addition of MPn and release CH4. In this study, MPn-demethylating Vibrionales strains were isolated, and it was found that most of Vibrio strains could efficiently demethylate MPn and produce methane. Genomic and transcriptomic results indicate that the phn operons, which showed high diversity among Vibrio species, were critical for the Vibrio strains to demethylate MPn. The potential contribution of Vibrio to methane production was estimated at the sampling sites and from the Tara Ocean database. These findings will help to better understand the microbial process of phosphonate demethylation and explain the ‘methane paradox’ in aerobic seawater.
Vibrio spp. may be the ideal contributors in the conversion of MPn into methane
Microbial demethylation of MPn can release methane into seawater, contributing to the methane oversaturation in upper oceanic waters. As indicated by the incubation experiments described herein, emendation of MPn into the Pi-starved seawater stimulated rapid accumulation of Vibrio biomass and substantial methane release (Fig. 1, Figs. S1 and S2). This suggests that MPn was effectively demethylated by Vibrio spp. This high efficiency of MPn demethylation depended on their metabolic capabilities of nutrients (e.g., C, N and P). Indeed, most of the MPn-demethylating strains screened in this study were isolated from coastal seawater with high nutrient concentrations and a high ratio of N:P (> 16:1). In the seawater near ZQ, the concentration of inorganic nitrogen and phosphate reached 58.1 μmol L−1 and 1.02 μmol L−1 (Liu et al. 2007). Vibrio isolates from such eutrophic environments can be highly active in nutrient metabolism and effectively convert MPn into methane. For example, V. gallaecicus HW2-07 and HW2-08, which were isolated from coastal seawater near ZQ, could demethylate approximately 70–80% of amended MPn after a 5-day incubation. In contrast, the others could demethylate approximately 20–40% (Fig. 1). As for other MPn-demethylating bacteria, Trichodesmium IMS101 could demethylate only approximately 20% of added MPn into methane during 10-day incubation (Beversdorf et al. 2010), whereas Pseudomonas sp. demethylated nearly 80% of MPn in freshwater during 3-day incubation (Wang et al. 2017). In some lakes, Proteobacteria could release > 500 nmol L−1 methane in one day (Gunthel et al. 2021). Therefore, Vibrio spp. is definitely one of the most important bacterial groups for MPn consumption in the aquatic environment.
In the coastal seawater near ZQ, the methane concentration varied from 4 to 877 nmol L−1 (Zhang et al. 2007), whereas the methane concentration in the Pacific Ocean is less than 6 nmol L−1 (Karl et al. 2008; Reeburgh 2007). In the incubation experiments conducted here, the methane concentration of oceanic seawater increased from 3 nmol L−1 (NPO) to 385 nmol L−1 (NPO-MPn) in three days. For most of the Vibrio isolates in this study, nearly 140–270 nmol L−1 methane could be accumulated within the same incubation time, equivalent to demethylating 14% to 27% of total amended MPn (1 μmol L−1). For V. gallaecicus HW2-07 and HW2-08, the accumulated methane would reach 440–490 nmol L−1. It should be noted that methane released into aerobic seawater would be oxidized by biotic processes (Drake et al. 2015). It has been reported that the conversion efficiency of MPn in coastal seawater could increase to ~ 60% when the biologic activity of methane oxidation was depressed (Ye et al. 2020). Moreover, the strong methane oxidation during incubation could reduce the final methane production from 600 nmol L−1 to 300 nmol L−1. Thus, only half of the methane (70–245 nmol L−1) produced by the Vibrio isolates may be released and detectable if incubation was conducted under such oxic condition for 3 days. This amount still could contribute a proportion between 23% and 82% of the released methane (385 nmol L−1). Our study demonstrated that marine Vibrio spp. are powerful contributors to methane production in aerobic seawater.
Phosphonates including MPn can increase the abundance of both the related microbes and the phn operons in Pi starved marine environments (Sosa et al. 2019). Quantitative analysis showed that phnL abundance was nearly 5.2 × 106 copies L−1 in the coastal seawater of ZQ; half of the phnL reads were assigned to the genus Vibrio. Considering that phn genes are single-copied in Vibrio genomes, the abundance of MPn-demethylating Vibrio species could be estimated at ~ 2.6 × 106 cells L−1 in ZQ seawater. This estimation is within reasonable range given an average Vibrio 16S rRNA gene abundance of 104 to 108 copies L−1 in estuarine and coastal waters (Zhang et al. 2018). In contrast, the phnL abundance of Vibrio was beneath detection levels in NPO (0 h), which may be attributed to the low concentration of nutrients in oceanic seawater that was insufficient for these species to maintain a high population (Moore et al. 2013). After incubation with amended C, N and MPn, the abundance of phnL in NPO-MPn (72 h) increased to nearly 3.9 × 106 copies L−1. If it is assumed that 50% of the phnL sequences belonged to Vibrio spp., there would be almost 2 × 106 copies L−1 of MPn-demethylating Vibrio in NPO-MPn samples, accounting for ~ 28% of the total (normalized by Vibrio 16S rRNA gene sequences, 6.9 × 106 copies L−1). Since the 16S rRNA gene is multiple-copied in Vibrio genomes (Wang et al. 2019), the actual percentage of MPn-demethylating Vibrio cells should be higher than 28%. This evaluation could mean that Vibrio cells with phn operons increased in abundance with the addition of MPn in Pi-limited seawater.
Distinct clusters of the phn operons may help Vibrio cells participate in MPn-demethylation more effectively
Results presented here show that the phn operons of Vibrio species were highly diverse in gene organization and could be clustered into nine types. Eight of these phn operon types included at least nine genes phnGHIJKLMNP and the transporter-encoding genes phnCDE/phnCDEE/phnDCEE, except cluster IX (Fig. 3). phnG ~ phnP is directly related to the process where P is transferred from MPn to PRPP, which further participates in the synthesis of important biomolecules, e.g., nucleotides (Ulrich et al. 2018). phnCDE render transportation of MPn into cells, and phnF is related to expression regulation of the phn operon. These genes are essential for MPn demethylation, and were up-regulated in the MPn-incubation samples. Unexpectedly, the up-regulated genes also included act, which encodes acetyltransferase and occurred beside phnP in the phn operons of clusters I–IV. The occurrence of act in the phn operons of other bacteria indicates that it might be involved in phosphonate metabolism rather than a random gene arrangement. The phn operon has a diverse composition among bacteria and there are other possible components in the phn operon in addition to the common phn genes (Huang et al. 2005; Martinez et al. 2013). For example, fosX in the phn operon of Mesorhizobium loti encodes an enzyme that breaks the epoxide ring of Fosfomycin, a widely used antibiotic (Fillgrove et al. 2007). The diverse functional components in phn operons may help bacteria to demethylate different types of phosphonates in the environment (Ulrich et al. 2018). Although the function of act remains unknown, results presented here suggest that the frequently occurring genes flanking common phn genes may be necessary components of the phn operon and participate to a certain degree in the process of phosphonate demethylation. There was no clear relationship between phn operon types and a methane production ability, which indicates complex gene-product relationships with MPn as a substrate.
The evolution of the phn operons in Vibrio species was well reflected in the phylogenetic analyses of phnJ and phnL, which are two essential functional components of the operon, suggesting concurrence of gene divergency and organization. Clusters I–IV were phylogenetically closed. However, cluster I had become a large clade that evolved independently (Figs. 2, 3 and Fig. S6). In comparison with cluster IV, the phn operons of cluster II and III may have lost the phnCDE genes but reserved the gene sets of phnCDEE and phnDCEE during evolution. Cluster I and II were among the most abundant and ubiquitous phn operon types in the coastal and oceanic seawater as evidenced by their frequent occurrence in the microbial community of ZQ and Tara Ocean and the MPn-demethylating Vibrio isolates obtained in this study. Cluster V was mainly affiliated with the Rumoiensis clade, including V. casei DSM 22364 and V. rumoiensis FERM P-14531. Expansion of mobile genetic elements in the genomes of these species implies ongoing genomic variation (Tanaka et al. 2020), which may result in the occurrence of the second phn operon (cluster IX) in V. casei DSM 22364. Genes phnGHIJK of cluster IX are likely to encode the core protein complex Phn(GHIJ)2 K (Ulrich et al. 2018). Although the implication is still unclear, the phn operons of cluster IX are actively spreading among pathogenic and conditional pathogenic Vibrio species.
The smaller chromosomes (Chr. 2) of Vibrio spp. are usually considered as the recipient of horizontally transferred genes, which may help them occupy a wide range of specialized niches (Lin et al. 2018; Zhang et al. 2018). However, the phn operons of clusters V, VII and IX were in Chr. 1 and cluster IX operon was predicted as genomic islands surrounded by ISs. These results suggest that Chr. 1 was also undergoing genomic change, like Chr. 2. In addition, some plasmids in M. loti and S. meliloti carry the phn operons, and their phn genes were speculated to be transferred to a broad range of host groups via autonomous inheritance of plasmid genomes (Huang et al. 2005). No Vibrio phn operons was found to be carried by plasmids in this study. However, numerous studies have found a frequent occurrence of HGT in Vibrio spp. via transformation, conjugation and transduction (Le Roux and Blokesch 2018). In analyses presented here, the ISs around cluster IX operon of V. vulnificus Vv180806 and the phage sequences next to the phn operon of V. rumoiensis FERM P-14531 were all potential indicators of HGT events. The uncertainty of the phn operons present in Vibrio strains of the same species also underscored the importance of HGT. These phenomena indicate that the distribution of phn operons in Vibrio spp. is related to vertical genomic evolution and affected by HGT, although it may not be sufficient to characterize the HGT pathways.
Does Vibrio spp. prefer Pi or MPn?
Although Pi starvation was considered as a premise for microbial demethylation of MPn and thereby methane production (Karl et al. 2008; Sosa et al. 2019), a recent study demonstrated that Pi did not strongly restrict this process in eutrophic coastal waters (Ye et al. 2020). The major MPn decomposers in coastal water, such as Vibrio spp., may not have an obvious preference for Pi or MPn. In fact, WXL531 was found to maintain a similar abundance during incubation with either Pi or MPn and could rapidly switch the cell status from Pi to MPn metabolism (Fig. 4 and Table S5). In contrast, WXL032 tended to utilize Pi in preference to MPn, suggesting that not all Vibrio species exhibit the same preference for Pi or MPn. This preference for different P sources explains why Vibrio spp. show different responses and adaptive capabilities to changes in P source, which may be a result of them chronically adapting to dynamic oceanic environments (White and Metcalf 2007). The preference for MPn or other phosphonates acts as a strategy for them to gain access to P nutrient in the Pi-limited environment.
Conclusions
In this study, it was found that the MPn-demethylating Vibrionales strains could efficiently demethylate MPn. In comparison with oceanic seawater, the eutrophic coastal waters were enriched with abundant vibrios with the phn operons. The Vibrio spp. with the phn operons in oceanic seawater were able to rapidly respond to the amended MPn. We speculated that the MPn-demethylating Vibrio species may account for more than 28% of all thriving Vibrio species, contributing at least 20% of the methane production during a 3-day incubation period. The phn operons were critical for these species to demethylate MPn and were highly diverse. The identified diversity of the phn operon types and the ability for heterogeneity of MPn metabolism in Vibrio spp. would help to better understand the microbial process of phosphonate demethylation and explain the ‘methane paradox’ in aerobic seawater.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We would like to thank Tian-Tian Ge for the supports with the low-Pi seawater and the Pi determinations. This study was funded by the National Natural Science Foundation of China (41730530 and 42206088), the National Key Research and Development Program of China (2018YFE0124100), the Fundamental Research Funds for the Central Universities (202172002) and the China Postdoctoral Science Foundation (2022M722977). The authors thank the BRICS-CNPq grant.
Author contributions
X-HZ conceived the study. SY and XW analyzed the data and wrote the manuscript. YW performed DNA and RNA extraction, qPCR experiments and genomic sequencing. HW and G-LZ performed geochemical factor and CH4 measurement. WH analyzed transcriptome data. JL, YZ, MY and FT provided critical ideas for interpreting the chemical and microbial data, and thoroughly modified the manuscript. All authors edited and approved the final manuscript.
Data availability
The genomic sequences in this study were submitted to NCBI database under accession numbers GCA_002214345.1 (WXL531), CP090614-CP090617 (WXL662) and CP090843-CP090855. The high-throughput sequencing data of this study were deposited in the Sequence Read Archive of NCBI, and are available under accession numbers, SRR17288730 (ZQ_phnJ), SRR17289282 (ZQ_phnL) and SRR17373641-SRR17373646 (transcriptomes). The phnJ and phnL sequences of cultured vibrios sequenced using the Vibrio-specific primers were submitted to NCBI database under accession numbers OL961487-OL961509.
Declarations
Conflict of interest
The authors declare no competing interests. Author Xiao-Hua Zhang is one of the Editorial Board Members, but she was not involved in the journal’s review of, or decision related to, this manuscript.
Animal and human rights statement
This article does not contain any studies with human participants or animals performed by any of the authors.
Footnotes
Special Topic: Ecology & Environmental Biology.
Shu-Xian Yu and Xiaolei Wang contributed equally to this work.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The genomic sequences in this study were submitted to NCBI database under accession numbers GCA_002214345.1 (WXL531), CP090614-CP090617 (WXL662) and CP090843-CP090855. The high-throughput sequencing data of this study were deposited in the Sequence Read Archive of NCBI, and are available under accession numbers, SRR17288730 (ZQ_phnJ), SRR17289282 (ZQ_phnL) and SRR17373641-SRR17373646 (transcriptomes). The phnJ and phnL sequences of cultured vibrios sequenced using the Vibrio-specific primers were submitted to NCBI database under accession numbers OL961487-OL961509.




