ABSTRACT
Bacterial cells can vary greatly in size, from a few hundred nanometers to hundreds of micrometers in diameter. Filamentous cable bacteria also display substantial size differences, with filament diameters ranging from 0.4 to 8 µm. We analyzed the genomes of cable bacterium filaments from 11 coastal environments of which the resulting 23 new genomes represent 10 novel species-level clades of Candidatus Electrothrix and two clades that putatively represent novel genus-level diversity. Fluorescence in situ hybridization with a species-level probe showed that large-sized cable bacteria belong to a novel species with the proposed name Ca. Electrothrix gigas. Comparative genome analysis suggests genes that play a role in the construction or functioning of large cable bacteria cells: the genomes of Ca. Electrothrix gigas encode a novel actin-like protein as well as a species-specific gene cluster encoding four putative pilin proteins and a putative type II secretion platform protein, which are not present in other cable bacteria. The novel actin-like protein was also found in a number of other giant bacteria, suggesting there could be a genetic basis for large cell size. This actin-like protein (denoted big bacteria protein, Bbp) may have a function analogous to other actin proteins in cell structure or intracellular transport. We contend that Bbp may help overcome the challenges of diffusion limitation and/or morphological complexity presented by the large cells of Ca. Electrothrix gigas and other giant bacteria.
IMPORTANCE
In this study, we substantially expand the known diversity of marine cable bacteria and describe cable bacteria with a large diameter as a novel species with the proposed name Candidatus Electrothrix gigas. In the genomes of this species, we identified a gene that encodes a novel actin-like protein [denoted big bacteria protein (Bbp)]. The bbp gene was also found in a number of other giant bacteria, predominantly affiliated to Desulfobacterota and Gammaproteobacteria, indicating that there may be a genetic basis for large cell size. Thus far, mostly structural adaptations of giant bacteria, vacuoles, and other inclusions or organelles have been observed, which are employed to overcome nutrient diffusion limitation in their environment. In analogy to other actin proteins, Bbp could fulfill a structural role in the cell or potentially facilitate intracellular transport.
KEYWORDS: cable bacteria, cell size, phylogenomics, actin, Candidatus Electrothrix gigas
INTRODUCTION
Bacteria can vary greatly in size, with cell volumes differing over 10 orders of magnitude. Cell diameter ranges from only a few hundreds of nanometer for the free-living cells of Candidatus Pelagibacter communis up to 750 µm for the giant spherical cells of sulfur-oxidizing Candidatus Thiomargarita namibiensis (1, 2). Moreover, the recently discovered Candidatus Thiomargarita magnifica displays extremely long cells with an individual cell length reaching up to ~1 cm and a width of 50–110 μm (3). Like Candidatus Thiomargarita, many of the prokaryotes with extraordinarily large cell sizes are involved in sulfur metabolism (4). The giant sulfur bacteria are phylogenetically diverse (found in the Gammaproteobacteria, Campylobacterota, and Desulfobacterota) and display different life forms. The sulfur-oxidizing bacteria Candidatus Thiovulum and Achromatium grow as individual cells, sulfur-oxidizing Beggiatoa, Thioploca, Thiothrix, and sulfate-reducing Desulfonema grow as large filaments, and Ca. Thiomargarita may form loose cell chains, all displaying individual cell sizes up to tens of micrometers (5 – 10). Giant bacteria show large variations in morphologies and size; bacteria with cells that are larger on only one axis or form assemblages (e.g., filaments or cell clusters) have also been called “pseudo-giant” bacteria (11). For the purposes of this study, we define “giant” as encompassing both giant and pseudo-giant.
Giant bacteria show adaptations for large size. Many giant bacteria contain vacuoles or other inclusions that mitigate substrate limitation, both by shortening diffusion distances as the cytoplasmic content is pushed to the cell periphery and by serving as a storage place for nitrate, elemental sulfur, and organic compounds (4). High polyploidy has also been observed for giant cells, supporting high levels of gene expression and limited mRNA diffusion distance (12, 13). The extremely large cells of Ca. Thiomargarita magnifica contain membrane-bound organelles inside which genomic material and ribosomes are compartmentalized so that transcription and protein synthesis can take place in multiple places (3). However, a genetic basis for large cell size remains presently elusive.
Cable bacteria are sulfur-oxidizing multicellular filamentous bacteria, of up to several centimeters in length. The diameter of the cable bacterium filaments can vary substantially, with observed filament diameters ranging from 0.4 to 8 µm (14 – 16). Cable bacteria have been found worldwide in a range of marine environments, like tidal and subtidal sediments, salt marshes, and mangroves, as well as freshwater sediments and rice fields (17 – 21). No isolates of cable bacteria are presently available in pure culture, and, therefore, cable bacteria have been studied exclusively in the field or in laboratory enrichments of natural sediment.
Cable bacteria cells display a peculiar division of metabolic labor by spatially separating sulfide oxidation in deeper anoxic sediment and oxygen reduction at the sediment surface (22 – 24). These redox half-reactions are coupled by electron conduction through a network of parallel fibers that are embedded in the periplasm. These fibers bridge the cell division planes within a filament, thereby forming a continuous conductive structure that runs over the entire length of the bacterial filament (14, 23, 25 – 27). The external surface of the cable bacteria shows parallel, longitudinal ridges (23), and the conductive fibers are located within the ridges (14, 26). The size of the conductive fiber compartments is similar across cable bacteria of different sizes, and thick cable bacteria simply embed more ridge compartments compared to thin cable bacteria (14, 16). Detailed electrical investigations have shown that the fibers are highly conductive (27, 28). So-called cartwheel structures located in the cell division planes of the filament are also conductive and function as a fail-safe mechanism in case individual periplasmic fibers are damaged (25, 27).
Cable bacteria present an opportunity where we can study the genetic differences between differently sized cells of closely related bacteria. Our aim was to find out whether large-sized cable bacteria can be distinguished from smaller-sized cable bacteria based on genomic affiliation and whether large-sized cable bacteria possess specific genetic adaptations. To this end, we performed phylogenomic and comparative genomic analyses of cable bacterium filaments retrieved from multiple marine environments. We analyzed 40 genomes of cable bacteria filaments and found that all large-sized cable bacteria belong to a single novel species, with the proposed name Candidatus Electrothrix gigas. This species contains a gene encoding an actin-like protein, which is also found in a number of other giant bacteria.
RESULTS AND DISCUSSION
New cable bacteria genomes
Individual filaments of cable bacteria of different sizes were retrieved from the sediments collected in 11 different coastal environments (Table 1). Whole-genome amplification of single filaments, followed by Illumina MiSeq sequencing and genome assembly were performed. Phylogenetic analysis of the complete 16S rRNA sequences extracted from these assemblies revealed that all filaments cluster within or directly adjacent to the genus Candidatus Electrothrix [Fig. 1 (16, 24)] in the Desulfobulbaceae family [Desulfobacterota phylum, previously known as Deltaproteobacteria (29)]. None of the filaments clustered within the genus Candidatus Electronema, which harbors cable bacteria from freshwater habitats (16, 20), or with the cable bacteria that are exclusive to groundwater aquifers (30, 31). Since all our filaments were retrieved from brackish and marine environments, our observations confirm that the monophyletic clade that includes the genus Ca. Electrothrix is confined to marine and brackish environments (16, 18).
TABLE 1.
Origin and affiliation of cable bacteria filaments used in this study
| Field site a | Environment | GPS coordinates | Affiliation of retrieved cable bacterium filaments | Reference |
|---|---|---|---|---|
| AUS: Yarra river, Melbourne | Estuary | 37.833361 S 145.026528 E |
Ca. Electrothrix gigas AUS3 Ca. Electrothrix sp. AUS1_2 Ca. Electrothrix sp. AUS4 |
This study |
| AUS: Western Port, Victoria | Mangrove | 38.229 S 145.309 E | Ca. Electrothrix sp. MAN1_4 | This study |
| B: Station 130, North Sea | Subtidal sediment | 51.268833 N 2.903167 E |
Ca. Electrothrix sp. AR1 Ca. Electrothrix sp. AR5 Desulfobulbaceae cable bacterium filament AR3 Desulfobulbaceae cable bacterium filament AR4 |
This study |
| DK: Løgten Strand | Intertidal sand | 56.288184 N 10.381332 E |
Ca. Electrothrix gigas LOE1_4_5 Ca. Electrothrix sp. LOE2 |
This study |
| DK: Aarhus Bay Harbour | Marine sediment | 56.13889 N 10.21419 E |
Ca. Electrothrix aarhusiensis MCF Ca. Electrothrix communis A1, N2, N3 Ca. Electrothrix marina A2, A3, A5 |
(16, 24) |
| J: Tokyo Bay, Tokyo | Marine sediment | 35.5367 N 139.9167 E | Ca. Electrothrix japonica TB | (16) |
| NL: Oude Bietenhaven, Eastern Scheldt | Intertidal sand | 51.447833 N 4.096500 E | Ca. Electrothrix gigas AS4_5 | This study |
| NL: Rattekaai, Eastern Scheldt | Saltmarsh sediment | 51.2621 N 4.1011 E | Ca. Electrothrix gigas AU1-5 | This study |
| NL: Mokbaai, Texel | Saltmarsh sediment | 53.005722 N 4.759472 E | Ca. Electrothrix gigas AW1, AW2, AW3_4, AW5 | This study |
| NL: De Cocksdorp, Texel | Oyster reef | 53.147889 N 4.901167 E |
Ca. Electrothrix gigas AX1_4, AX2 Ca. Electrothrix aarhusiensis AX5 |
This study |
| NL: Lake Grevelingen | Marine lake | 51.747 N 3.898 E | Ca. Electrothrix sp. ATG1_2 | This study |
| USA: Elkhorn Slough, CA | Saltmarsh sediment | 36.82 N 121.74 W | Ca. Electrothrix sp. EH2 | This study |
| USA: Gulf of Mexico | Subtidal sediment | 27.350533 N 90.562933 W | Ca. Electrothrix sp. GM3_4 | This study |
| USA: Sippewissett Salt marsh, MA | Saltmarsh sediment | 41.57595 N 70.63588 W | Ca. Electrothrix communis US1, US2, US4, US5 | (16) |
| DK: Vennelystparken, Aarhus | Freshwater sediment | 56.164874 N 10.207888 E | Ca. Electronema aureum GS | (24) |
| DK: Giber river, Eastern Jutland | River sediment | 56.07476 N 10.22028 E |
Ca. Electronema nielsenii F1, F5 Ca. Electronema palustre F3, F4 |
(16) |
AUS: Australia, B: Belgium, DK: Denmark, J: Japan, NL: The Netherlands.
Fig 1.
Phylogenetic diversity of cable bacteria based on (left-hand side) 16S rRNA genes extracted from sequenced genomes and (right-hand side) concatenated protein sequences aligned to the GTDB taxonomy. * indicates incomplete 16S rRNA sequences, AUS2 is 1,272 bp with the start missing, AS5 is 1,453 bp with the end missing, and KY418001.1 is a 559-bp-long fragment from 454 sequencing. Circles at nodes depict bootstrap support; scale bars show mean substitutions per site.
Assemblies that were both highly similar [whole-genome average nucleotide identity (ANI) >99.6%] and originated from filaments from the same field site were pooled for final genome assembly, resulting in 23 new draft genomes (Table S1). Additionally, we reconstructed the genomes of single cable bacterium filaments, for which the 16S rRNA gene and dsrAB phylogenies were studied previously (16) and also included six previously published cable bacteria genomes (24), thus providing 17 additional genomes for comparison. These 40 draft genome assemblies of cable bacteria vary greatly in size (0.6–4.4 Mbp) and estimated completeness (20.8–97.1%), but all clades are represented by at least one genome that is >63% complete. Good-quality data sets (nine with completeness >90% and six with completeness >80%; contamination <5%) are available for three previously published genomes (Ca. Electrothrix aarhusiensis MCF, Ca. Electrothrix communis US4, and Ca. Electronema aureum GS) and 12 of the new genomes (AU1-5, AW1, AX1_4, AW3, AW5, AS4_5, AW2, AX2, LOE1_4_5, GM3_4, AX5, and AR4; Table S1).
Novel species-level and genus-level cable bacteria clades
The current taxonomic classification of cable bacteria is based on the 16S rRNA gene and dsrAB gene sequences (16). Phylogenomic analysis of our 40 draft genome assemblies enables us to move beyond single gene analysis and substantially expands the currently known diversity of cable bacteria (24). A whole-genome tree based on concatenated protein sequences of 120 marker genes shows a topology highly similar to the 16S rRNA gene phylogenetic tree (Fig. 1). Adopting a threshold of 95% for whole-genome ANI at the species level (32), only one of the new draft genomes (AX5) belonged to a previously described species (Ca. Electrothrix aarhusiensis), while 22 genomes were distributed among 10 new species-level clades (Table S2). Most of these new species clades are represented by one or two genomes, except for one species that is represented by 10 genomes. For this latter 10-genome species-level clade (TGC), we obtained genomes with 78.1–97.1% estimated genome completeness (2.2–4.6% contamination; Table S1), thus enabling a more detailed genomic analysis (as discussed below).
At some of the field sites, multiple (2–4) cable bacteria species were detected (Table 1), thus confirming previous observations that the microbial community within a given sediment can harbor a diversity of cable bacteria species (16, 18, 21, 33). Likewise, some species are present at multiples sites and show a global distribution (e.g., TGC was found in The Netherlands, Denmark, and Australia).
The genomes of filaments AR3 and AR4 are placed between the genera Ca. Electrothrix and Ca. Electronema in both the phylogenomic tree and the 16S rRNA gene tree. Both the values for 16S rRNA gene sequence identity and whole-genome average amino acid identity (AAI) are close to cutoffs proposed for delineation of a novel genus [94.5 and 65%, respectively (32, 34); Table S3], thus suggesting that AR3 and AR4 may constitute new candidate genera within the marine cable bacteria.
The AR3 and AR4 filaments were collected from sediment in the Belgian part of the North Sea (Station 130, subtidal cohesive sediment, water depth ~10 m), a site where cable bacteria are known to occur throughout the year (35, 36). Previously, 16S rRNA gene amplicon sequences affiliated to AR3 or AR4 were detected in sediments from the Baltic Sea (18) and also found to be associated to seagrass roots in sediments from Denmark, USA, and Australia (21). Overall, AR4 has been found within a salinity range of 20–34, and AR3 at salinities of 7–34. Accordingly, AR3 and AR4 appear to be saltwater-adapted cable bacteria found in the same salinity range and sediment environments as Ca. Electrothrix. Additional ecophysiological and genome analyses based on a larger number of strains and more complete genomes are required to see what specific physiological and metabolic differences can be found that separate AR3 and AR4 from Ca. Electrothrix.
Identification of Candidatus Electrothrix gigas
From previous studies, it appeared that filament diameter could not be linked to taxonomic affiliation. The observed size differences in the diameter of cable bacteria can be very large [0.4–8 µm (14 – 16)] and considerable variation in the diameter of cable bacteria has been recorded within the same species and even within the same filament (16).
During our investigation of coastal sediments, we encountered thick filaments, with a diameter >2 µm, which exceed the typical diameter reported for the previously described Ca. Electrothrix species (15, 16, 33). Thick cable bacteria have earlier been documented for Rattekaai salt marsh [The Netherlands (14)] and Aarhus Bay marine sediments [Denmark (16)]. Upon closer inspection, we noted that in all the sediments harboring TGC genomes (Fig. 1), we were able to find thick filaments. This led to the hypothesis that these very large cable bacteria do not represent an extreme phenotypic variation but belong to a distinct species.
To verify that thick cable bacteria belong to the TGC-species level clade, we set up laboratory incubations with sediment from Rattekaai salt marsh, a site where the TGC has been recovered (Table 1), performed microscopy, and sequenced the 16S rRNA gene of thick filaments. We also applied fluorescence in situ hybridization (FISH) with a specific probe targeting the 16S rRNA of the TGC.
In the lab-incubated sediment from Rattekaai salt marsh, we found filaments with different diameters, including thick filaments that ranged up to 8 µm in diameter (Fig. 2A).
Fig 2.
Images of cable bacteria, showing the large diameter of Ca. Electrothrix gigas. (A) Filament with a diameter of ~8 µm from incubated Rattekaai (NL) sediment. 16S rRNA gene sequences of retrieved filaments with similar diameter show that these belonged to Ca. Electrothrix gigas. (B and C) FISH with Rattekaai sediment shows Ca. E. gigas hybridized with Egiga134-Atto488 (green) and stained with 4’,6-diamidino-2-phenylindole (DAPI; blue). (D) FISH with sediment from Hou (DK) with probes DSB706-Atto488 (green) and Egiga134-Atto550 (red). Ca. Electrothrix gigas appears yellow from an overlay of red and green images, other cable bacteria appear green. (E) Scanning electron microscopy image showing continuous ridges characteristic for cable bacteria on the surface of thick and thin filaments from Hou sediment (DK). Scale bars: panels A–C, 10 µm; panel D, 20 µm; and panel E, 5 µm.
The 16S rRNA gene of three individual thick filaments was amplified using a nested PCR approach and sequenced. The resulting 16S rRNA gene sequences (fragment length 1,376 bp, n = 3 identical sequences) were 99.85% identical to the 16S rRNA gene sequence of genomes AX2 and AW5 of the TGC. A FISH probe (Egiga134) that targets the 16S rRNA of the TGC was developed based on the 16S rRNA sequences of all the cable bacteria. Comparison of the small subunit RNA database (SILVA RefNR v1.38), combined with an in silico analysis of hybridization conditions and a mismatch analysis, showed that the probe is highly specific (see Materials and Methods; Table S4). FISH with the incubated sediment from Rattekaai salt marsh (Fig. 2A) showed hybridization of thick filaments with a diameter ranging from 3.4 to 6.0 µm (n = 8; Fig. 2B) with probe Egiga134. In the second batch of incubated sediment, the diameter of Egiga134-hybridized filaments was 2.6–4.9 µm (n = 11; Fig. 2C). Non-hybridized filaments in these sediments ranged from 0.5 to 1.5 µm in diameter (n = 12). The length of the individual cells in a filament ranged from 2.6 to 5.5 µm for filaments that hybridized with the Egiga134 probe, and from 0.6 to 3.4 µm for non-hybridized filaments. Cell length within an individual filament varied by maximum 2.3 times.
Double hybridization with probes Egiga134 and DSB706 [targeting Desulfobulbaceae (37, 38)] was performed with intertidal sediment from Hou, Denmark. Thick filaments (5.0 ± 0.5 µm; n = 4) in the Hou sediment hybridized with both the Egiga134 and DSB706 probes. Thinner filaments (d = 1.6 ± 0.3 µm; n = 4) only hybridized to the DSB706 probe and not to the Egiga134 probe (Fig. 2D). Scanning electron microscopy of thick filaments from the same sediment revealed the characteristic ridges that run in parallel along the filament length, thus additionally confirming that these thick filaments are cable bacteria (14, 26) (Fig. 2E). The observed specific hybridization of probe Egiga134 to thick cable bacteria filaments shows that the TGC consists of large-sized cable bacteria, and we, therefore, propose the name Ca. Electrothrix gigas for this novel species.
In addition, a live preparation was made with tufts of filamentous bacteria washed out from this intertidal sediment, and thick cable bacteria (d = 6.1 ± 0.3 µm; n = 3) were observed together with Beggiatoaceae and thinner cable bacteria. These thick cable bacteria filaments contained apparent polyphosphate globules, as observed in the cable bacteria previously (24, 39, 40). The thick cable bacteria showed gliding motility, at a rate that was approximately twice as fast (~1.0 µm s−1 at 22°C; Video S1) as reported on average for cable bacteria (41).
Genes unique to Candidatus Electrothrix gigas
To investigate a potential genetic basis for large cell size, we carried out a comparative analysis of cable bacteria genomes to identify genes that were unique to Ca. Electrothrix gigas (Fig. S1). Based on a common criterion for gene ortholog analysis [>70% DNA sequence identity and >80% similarity in size (42)], we identified 129 genes that were solely present in Ca. Electrothrix gigas. These genes were not all present in all Ca. Electrothrix gigas genomes, likely due to genome incompleteness. However, a phylogeny-based analysis of their distribution amongst all Ca. Electrothrix showed that these 129 genes were evenly spread within the Ca. Electrothrix gigas subtree (Fig. S2). Protein BLAST analysis against the other 30 cable bacteria genomes in the Desulfobulbaceae family (23 Ca. Electrothrix, 5 Ca. Electronema, and AR3 and AR4) showed that, for 98 of the encoded proteins, a protein with similar sequence (based on >40% amino acid sequence identity and >70% alignment length) was present in one or more cable bacteria genomes (Table S5). These proteins are less similar to the criteria set in the gene ortholog analysis but can be considered as functional homologs. Blastp analysis of the remaining 31 protein sequences against the non-redundant (nr) protein database, excluding cable bacteria, produced no significant hits for 17 of the proteins (e-value cutoff 0.05) indicating that they originate from a yet undescribed lineage or from an evolutionary innovation. Most of the 14 proteins for which similar sequences were found in the nr database contained either no known conserved domains or conserved domains that did not result in a clear functional annotation (Table S5).
Among the genes that were species specific for Ca. Electrothrix gigas, two patterns were conspicuous: (i) Ca. Electrothrix gigas contains a three-gene cluster that encodes an actin-like protein, a hypothetical protein, and a protein containing a putative actin-interacting Kelch domain, and (ii) Ca. Electrothrix gigas contains a cluster of five genes encoding four putative pilin proteins and a putative type II secretion platform protein (GspF).
Identification of a novel bacterial actin-like protein in Ca. Electrothrix gigas
A gene encoding a protein belonging to a previously undiscovered clade of bacterial actin homologs was detected in all 10 Ca. Electrothrix gigas genomes and in one sibling genome in the same clade (Ca. Electrothrix MAN1_4; partial gene at the end of a contig). In Ca. Electrothrix gigas and Ca. Electrothrix MAN1_4, the gene coding for the novel actin-like protein was present in addition to the MreB actin homolog found in all rod-shaped bacteria, including cable bacteria.
Bacteria have evolved individual actin homologs for different functions in the cell. These include: MreB, a cell-shape protein present in rod-shaped bacteria; ParM and AlfA, which are involved in the segregation of plasmid DNA; FtsA, which plays a role in cell division; and MamK, which forms a filament to which magnetosomes are attached in magnetotactic bacteria (43 – 50). Actin proteins have ATPase activity and binding of ATP initiates polymerization into filaments, while hydrolysis to ADP results in conversion to the monomeric form of actin (47, 51, 52). The detected novel actin-like protein contains the five parts of the ATPase domain as well as conserved residues for nucleotide binding (53). However, it lacks the interaction site with the transmembrane protein RodZ (54), thus affirming that this protein is not an additional copy of MreB (Fig. S3). Structural prediction showed that the novel actin-like protein has a highly similar structure to MamK (98% of the residues modeled with 100% confidence) of Magnetospirillum magneticum AMB-1, which has been resolved to ~6.5 Å resolution (55) (Fig. S3).
Phylogenetic analysis of the 10 sequences obtained for the different genomes of Ca. Electrothrix gigas places the novel actin between MamK and MreB (Fig. 3). Strikingly, a comparison of the novel actin-like protein sequence of Ca. Electrothrix gigas with the protein database revealed a number of very similar proteins that are encoded in other large bacteria. We, therefore, named it “big bacteria protein” or Bbp. The bacteria that also encode Bbp occur either as very large cells [e.g., Thiomargarita (1, 56)], large cells in filaments [Beggiatoa, Desulfonema, Thioploca, Thiothrix, and Thioflexithrix (6, 7, 9, 10, 57 – 60)], or smaller cells in specialized morphologies [Candidatus Magnetomorum and Candidatus Magnetoglobus form cell clusters of ~5–10 µm diameter (61, 62)] (Fig. 3). Expression of the Bbp actin-like protein has been shown for Desulfonema limicola using proteomic analysis (59).
Fig 3.
Phylogenetic tree based on actin-like proteins in bacteria, showing the placement of the novel big bacteria protein, Bbp, with an inset diagram showing the operon structure of bbp in Candidatus Electrothrix gigas. Circles at nodes depict bootstrap support; the scale bar shows mean substitutions per site.
Not all bacteria that encode Bbp appear to be big. Spherical cells of Thiohalocapsa halophila encode Bbp but do not seem to be quite as large with diameters of 1.5–2.5 μm (63). A gene encoding Bbp was also detected in a metagenome-assembled genome (MAG) of Cocleimonas sp. The only Cocleimonas for which dimensions are known is Cocleimonas flava, which has rod-shaped cells of regular size [~0.35 µm wide and 1.7 µm long (64)]. The genes in MAGs of the Zetaproteobacteria and Riflebacteria that we identified as encoding Bbp were previously identified as encoding MamK (65). It is unclear whether Bbp is indeed acting as MamK in these bacteria, as magnetosomes have only been surmised based on genomic data. However, the clear absence of magnetosomes in Ca. Electrothrix gigas and the majority of other Bbp-containing organisms makes it clear that Bbp is not simply a novel kind of MamK. Ca. Magnetomorum and Ca. Magnetoglobus are magnetotactic bacteria, and they encode MamK in addition to Bbp, further suggesting that Bbp and MamK have distinct functions (Fig. 3).
The closest phylogenetic relatives of Bbp from Ca. Electrothrix gigas (order Desulfobulbales) are found in the Gammaproteobacteria, orders Thiotrichales and Beggiatoales, while sequences from other Desulfobacterota [order Desulfobacterales (e.g., Desulfonema, Ca. Magnetoglobus, and Ca. Magnetomorum)] are more distantly placed. Inference from the reconstructed phylogenetic tree suggests that bbp has been transferred horizontally between Gammaproteobacteria and Desulfobacterota several times. Many of these organisms indeed tend to live in close proximity [e.g., dense microbial mats consisting of Beggiatoa and Desulfonema spp. (9, 66)].
The presence of bbp in the genomes of Ca. Electrothrix gigas and other giant bacteria suggests a function of this actin-like protein that is related to large cell size. However, some species of large bacteria do not encode Bbp (based on blastp and tblastn options against available genomes in the NCBI database). Some of these are bacteria from other phyla like giant rod-shaped Epulopiscium fishelsoni (Firmicutes) and Cyanobacteria. Ca. Thiovulum is a large [up to ~50 µm across (5, 67, 68)] sulfur-oxidizing bacterium affiliated to the Campylobacteria (formerly Epsilonproteobacteria) but does not encode Bbp. Interestingly, Achromatium, a sulfur-oxidizing bacterium affiliated to the Gammaproteobacteria (order Chromatiales), is relatively closely affiliated to the Bbp-encoding sulfur-oxidizing bacteria, occurs in similar environments, both freshwater and marine (69), but does not seem to encode Bbp either. This suggests that Bbp is part of just one solution for the making or functioning of large cells or cell structures, and that other solutions likely also exist. Analysis of the available genomes for Ca. Thiomargarita magnifica did not reveal the presence of bbp. Although these genomes are incomplete, it seems unlikely that this gene would be missing in all five incomplete genomes. Perhaps the absence of bbp might be explained by cell shape: Ca. Thiomargarita magnifica has extremely long cells (~9,000 µm long and ~100 µm wide) in contrast to the very large spherical (up to ~750 µm diameter) cells of other Ca. Thiomargarita. While the cell diameter in Ca. T. magnifica is still larger than most bacteria at around 100 µm, it is clearly in a smaller size category than other Ca. Thiomargarita species, just as other Ca. Electrothrix that are smaller than Ca. Electrothrix gigas.
The second gene in the Ca. Electrothrix gigas-specific gene cluster encodes a hypothetical protein without putative conserved domains. The third gene encodes a protein similar to Kelch(-like) proteins. Eukaryotic Kelch(-like) proteins are involved in a variety of metabolic functions (70, 71), and some Kelch proteins are known to interact with actin (72 – 74). The protein in Ca. Electrothrix gigas has a predicted beta-propeller structure similar to Kelch proteins consisting of C-terminal tandem repeats [(73, 75, 76); Fig. S4]. The closest relatives of the Ca. Electrothrix gigas Kelch-like protein are found in different taxonomic classes and are proteins of varying size for which sequence homology exists only for the region containing the tandem repeats (~30–40% amino acid identity). Only two of the non-cable bacteria genomes that contain bbp also contain a gene encoding a protein with somewhat similar tandem repeats, Thiothrix sp. (RUM94246.1) and Beggiatoa sp. 4572_84 (OQY47631.1), but these two genes are located on other contigs than bbp. The Kelch-like protein is thus not likely to be necessary for the function of Bbp in big bacterial cells and cell clusters but may perform some role unique to Ca. Electrothrix gigas.
Currently, it is not clear where big cable bacteria emerge in the phylogenomic tree. The genome of Ca. Electrothrix sp. MAN1_4 contained a partial bbp gene (at the end of a contig, Fig. S5), the second gene of the bbp-cluster was present adjacent to bbp, but with opposite orientation, and a gene coding for the Kelch-like protein was not detected (estimated genome completeness ~77%). In a previous study, no thick cable bacteria were observed at the field site from where MAN1_4 cable bacteria filaments were retrieved [diameter 1.3 ± 0.5 µm (35)], but the observed cable bacteria filaments have also not been directly linked to the MAN1_4 species-level clade. Candidatus Electrothrix japonica is placed between Ca. Electrothrix gigas and Ca. Electrothrix MAN1_4 but bbp was not found in its genome (estimated genome completeness 73%). FISH analysis with a specific probe has shown that Ca. Electrothrix japonica forms thin filaments (16), consistent with the absence of bbp. Further investigations of cable bacteria morphology combined with more high-quality genomes are needed to study the emergence of bbp and the presence of the other two genes in the bbp-gene cluster.
At the moment, we can only speculate about the function of the novel actin-like protein that we have identified in the genomes of large cable bacteria and other large cells and cell clusters. We propose two possible functions. Bbp is predicted to be localized in the cytoplasm, where it may fulfill a structural function to support the large shape of bacteria or bacterial cell clusters. The presence of Bbp in MAGs of bacteria for which there is no information on cell morphology and size illustrates the need for high-quality genomes of cultures or single cells/filaments/cell assemblages with known cell dimensions. Beggiatoa spp. form filaments with different sizes and could, therefore, be a second model organism to study the presence of Bbp in relation to cell size. Another hypothesis is that Bbp could play a role in facilitating intracellular transport in large cells similar to actin filaments in eukaryotic cells (4, 77). Whatever the function of Bbp, not all large bacteria appear to require this function or fulfill it in the same way. Research into the expression and localization of Bbp actin filaments in cable bacteria and other giant bacteria [like recently studied for Lokiactin in an Asgard archaeon (78)] is necessary to shed light on the function of this novel actin.
PilA genes in Ca. Electrothrix gigas
Genomes of the genera Ca. Electrothrix and Ca. Electronema contain a putative pilA gene that encodes the major component of the type IV pilus. The genomes of Ca. Electrothrix gigas, however, stand apart as they also contain a species-specific gene cluster with additional copies of pilA. This putative operon contains five genes encoding four putative pilin proteins and a putative type II secretion protein GspF (Fig. 4).
Fig 4.
Putative PilA encoding gene clusters in Ca. Electrothrix genomes. (A) Gene cluster encoding two sugar-modifying enzymes, PilA, and proteins containing TPRs putatively involved in protein-protein interaction. Ca. Electrothrix gigas AW5 contains two pilA genes in this cluster, and AX1_4 and AW1 (not shown) contain four pilA genes of which one is located downstream of the two TPRs genes. (B) Putative operon of five genes specific to Ca. Electrothrix gigas (shown for AX1_4) consisting of four genes putatively encoding PilA homologs and one gene coding for the type II secretion platform protein GspF. Numbered blue arrows indicate genes with the following annotations: (1) methyltransferase, (2) phospholipid carrier-dependent glycosyltransferase, and (3) predicted glycosyltransferase. Numbering displays the locus tags of pilA genes in Ca. Electrothrix gigas AX1_4.
The type II secretion system consists of many components and is one of the systems involved in the export of proteins over the outer membrane to the extracellular environment. Many proteins of the type II secretion system and type IV pili machinery are homologous in structure and function. Cable bacteria encode the type IVa pili system, which is the most common in Desulfobacterota. GspF is the so-called platform protein and contains transmembrane helices and cytoplasmic domains. It interfaces with the pseudopilin, assembled from the major pseudopilin protein (GspG), in the cytoplasmic membrane. The major pseudopilin subunit GspG is analogous to PilA in the type IVa pili system (79 – 82).
Genomes of Ca. Electrothrix gigas encode three putative GspF proteins. Two of these appear to be present in all Ca. Electrothrix and Ca. Electronema genomes. Both these proteins are most closely related to GspF proteins of Desulfobulbus spp. (Fig. S6). The genomes of AR3 and AR4 (estimated genome completeness 80 and 70%, respectively) have at least one gene coding for GspF. The putative GspF protein that is encoded in the Ca. Electrothrix gigas specific gene cluster has an entirely different affiliation and is related to Gammaproteobacterial GspF sequences, albeit with relatively low identity (~30% aa sequence identity, ~50% positives) (Fig. S6).
The four genes that, together with gspF, are located in the Ca. Electrothrix gigas-specific gene cluster encode proteins that are affiliated with PilA and not with GspG (pseudopilin) (Fig. S7). The protein sequences are most closely related to those of Gammaproteobacteria, as was also observed for GspF encoded in this gene cluster, and indicate that these genes were acquired by horizontal gene transfer. It is striking that two of the four putative PilA proteins have amino acid sequences with the largest identity to proteins from members of giant Gammaproteobacteria, e.g., Thioflexithrix, Achromatium, Thioploca, Thiomargarita, and Beggiatoa.
The gene cluster containing pilA that has been detected in all Ca. Electrothrix species-level clades (except MAN1_4 and AUS4, estimated genome completeness 77 and 51%, respectively) comprises two genes encoding sugar-modifying enzymes and one or multiple gene(s) encoding protein(s) containing tetratricopeptide repeats (TPRs), which are putatively involved in protein-protein interaction. Interestingly, in three Ca. Electrothrix gigas genomes, there are multiple genes encoding PilA in this cluster. Genomes AX1_4 and AW1 have four, and AW5 has two pilA genes in the gene cluster (Fig. 4). The encoded PilA sequences cluster with those of other Desulfobacterota (Fig. S7).
PilA is highly expressed by cable bacteria [the most highly expressed protein detected in the proteome of Ca. Electronema aureum (24)]. However, it is not clear what the function of PilA in cable bacteria is. Previously, it has been hypothesized that PilA plays a role in conduction (24), based on analogy with Geobacter nanowires. However, recent research has revealed that conductive Geobacter nanowires are composed of stacked outer membrane cytochromes (83, 84), and that Geobacter PilA possibly is involved in secretion rather than conduction (85). Moreover, recent studies of the fiber sheath of cable bacteria suggest that the conductive fibers embed a novel nickel-sulfur cofactor that could be involved in electron conduction (86). So, PilA does not likely play a role in conduction in cable bacteria.
Functions that have been described for PilA are involvement in adhesion, virulence, motility, and secretion (85, 87 – 92). Future experiments to study the expression, structure, and subcellular localization of PilA are necessary to determine its function in cable bacteria. We assume that the additional Ca. Electrothrix gigas-specific gene cluster with proteins putatively involved in secretion and pilin formation may be somehow involved in the construction or functioning of Ca. Electrothrix gigas’ large cells. Gliding motility, as observed for cable bacteria, may involve pili and polysaccharide excretion (91, 92), so perhaps these proteins could play a role in the relatively fast motility, compared to cable bacteria in general, of Ca. Electrothrix gigas.
Conclusion and perspectives
Previously, it was unclear whether the observed diversity in filament diameters of cable bacteria was a product of genomic diversity or phenotypic plasticity. In this study, we show that large cable bacteria belong to a novel species, Candidatus Electrothrix gigas. Moreover, the large morphology is likely linked to the presence of several genes that are present in Ca. Electrothrix gigas but absent in other Ca. Electrothrix species. These genes include a putative operon containing a gene, termed bbp (for big bacteria protein), encoding a newly recognized actin-like protein and a putative operon with additional copies of pilA and gspF. We hypothesize that Bbp plays a role in cell structure or intracellular transport to help overcome the challenges of diffusion limitation and/or morphological complexity presented by the large cells of Ca. Electrothrix gigas. The role of PilA in cable bacteria is currently unclear but one of the possibilities is that type IV pili may be involved in gliding motility. Further investigation of these proteins, such as their localization or heterologous expression, should shed further light on their precise role. We have found bbp in a phylogenetically and metabolically diverse set of other bacteria and available morphological data show that most of these have large cells or form multicellular structures. It may be that Bbp is important for many other large cells apart from Ca. Electrothrix gigas. Understanding the function of this protein will help reveal how large bacterial cells and cell structures are formed.
Description of “Candidatus Electrothrix gigas” sp. nov.
gi’gas. Gr. masc. n. gigas, a giant (nominative in apposition), referring to the large filament diameter relative to other Ca. Electrothrix species. They are members of a clade within the candidate genus Electrothrix with cells of width greater than ~2.5 µm (commonly in the range of 2.5–8 µm), distinguishable by size, 16S rRNA gene sequence, and genome-based phylogeny. They can be detected by probe Egiga134 5′-CTATCCCGAGCATCTGGA-3′ combined with filamentous morphology.
MATERIALS AND METHODS
Sample collection and filament picking
Sediments were sampled at 11 different field sites in Belgium, Denmark, The Netherlands, USA, and Australia (Table 1). These sites represent different marine environments: intertidal sediments, salt marshes, mangrove, and subtidal sediments. Individual filaments of cable bacteria were either directly isolated from the natural sediment or after incubation of the sediment in the laboratory. For these laboratory incubations, sediment was sieved (<1.1 mm) and homogenized, left to settle overnight, and repacked into plexiglass core liners (diameter 40 mm) with the sediment surface level at the top of the core liner. The sediment cores were incubated at ~16°C in containers containing artificial seawater (ASW, Instant Ocean Sea Salt, salinity 30). The containers were kept in the dark to prevent photosynthesis and the overlying water was continuously aerated. Cable bacteria filaments were gently isolated from the surrounding sediment using custom-made glass hooks (23), washed repeatedly in filtered (0.22 µm) and autoclaved milliQ water, transferred to filtered (0.22 µm) and UV-sterilized TE buffer (10 mM Tris, 1 mM EDTA, pH 8) and kept at −20°C until further processing.
Sequencing of the 16S rRNA gene of individual cable bacteria filaments
Individual cable bacteria filaments were isolated from incubated sediment, washed gently in sterile ASW, transferred into a PCR tube, and kept at −20°C. Filaments were subsequently lysed in 15 µL PCR water for 5 min at 95°C and all the components for PCR were prepared in a volume of 5 µL and added to the lysed filament. The final master mix was composed of buffer with MgCl2 (final concentration of 2 mM), dNTPs (0.2 mM each), forward primer (0.5 µM), reverse primer (0.5 µM), and Thermo Scientific DreamTaq polymerase (0.025 U/µL). General primers 27F (93) and 1492R (94) were used for amplification of the almost full-length 16S rRNA gene. Following initial denaturation for 2 min at 95°C, 30 cycles were performed with denaturation for 45 s at 95°C, annealing for 45 s at 46°C, and extension for 1 min 30 s at 72°C, followed by final extension for 10 min at 72°C. A second round of PCR was performed with the PCR product as template and nested primers that target Desulfobulbaceae, using forward primer DSBB280wF (95) and reverse primer DSBB + 1297R (96), as well as with the pairs 39Fc (5′-GGCTCAGAACGAACGCTG-3′)-DSBB + 1297R and DSBB280wF-1389R (5′-GGGCGGTGTGTACAAG-3′). Primer 39Fc is one base shorter, at the 5′ end, and lacks the degenerate bases compared to 39F (97). Primer 1389R is two bases shorter, at the 5′ end, compared to UNIV1389a (37). PCR conditions were as above, except for annealing at 50°C. PCR amplicon size and quantity were evaluated using gel electrophoresis. After cleanup with illustra ExoProStar (Cytiva), the amplicons were Sanger sequenced in both directions by Neuromics Support Facility at the University of Antwerp and the resulting sequences were merged.
Whole-genome amplification and sequencing
Retrieved single filaments were lysed by ultrasonic bead-beating and the DNA was amplified using the GenomePlex Single Cell Whole Genome Amplification kit (Sigma-Aldrich) (16, 20). Paired-end sequencing libraries were prepared from amplified DNA using the Illumina TruSeq Nano DNA Library Prep kit with dual-indexed adapters. Sequencing was performed on a MiSeq Sequencer (Illumina) with 300 bp paired-end reads.
Genome assembly
Illumina Miseq raw reads were clipped to remove adapters and quality-trimmed using Trimmomatic v0.36 [PE option, sliding window 6, average quality 20, minimum length 40 bp (98)]. Trimmed paired-end reads together with trimmed unpaired forward reads were assembled using SPAdes version 3.9.0 [using kmer lengths 21, 33, 55, 77, 99, and 127 and the option—careful (99)]. Contigs ≥1 kb were retained and binned based on tetranucleotide frequencies with MetaWatt v3.5.3 (100). Six out of 35 single filament (meta)genomic data sets required binning. The average nucleotide identity between single filament genomes was calculated with JSpecies v1.2.1. [option ANIm (101)]. Above 99.6% identity, single filament genomes were combined. For unbinned single filament genomes, all trimmed reads of the corresponding single filament data sets were used in the combined assembly. For binned single filament genomes, only trimmed reads that mapped to the binned single filament assembly (bbmap v34.25, minidentity 0.98; https://sourceforge.net/projects/bbmap/) were used for combined assembly with SPAdes v3.9.0 (same settings as above).
In addition to sequencing 35 new single cable bacterium filaments, we also reconstructed the genomes of single cable bacterium filaments previously studied for their 16S rRNA and dsrAB gene sequences (16). These filaments are Ca. Electrothrix communis N2, N3, US1, US2, US4, and US5, Ca. Electrothrix japonica TB, Ca. Electronema nielsenii F1, F5, and Ca. Electronema palustre F3, F4. Genome assembly was performed using the methods outlined for Ca. Electrothrix communis A1 and Ca. Electrothrix marina (24). Finally, we also included the published genomes of Ca. Electrothrix aarhusiensis MCF, Ca. Electrothrix marina A2, A3, and A5, Ca. Electrothrix communis A1 and Ca. Electronema aureum GS (24).
Genome completeness was estimated using CheckM v1.0.7 (102) using the reference data set for the order Desulfobacterales. Gene calling was performed using Prodigal v2.6.3 (103) implemented in Prokka v1.14.6 (104). Whole-genome average nucleotide identity (105) and whole-genome AAI [using both best hits (one-way AAI) and reciprocal best hits (two-way AAI)] were calculated with the online tool http://enve-omics.ce.gatech.edu/g-matrix/ (106).
Comparative genome analysis
Orthologous genes were called using the ConSpeciFix pipeline (107) with a 0.7 nucleotide identity cutoff value for Usearch (108). Genes were filtered by coverage cutoff of 0.8 and clustered using MCL as integrated in ConSpeciFix with an inflation value of 1.6. This information, together with the phylogenomic tree, was used as input for the Count software tool (109) to determine propensity for gene loss (PGL) (Fig. S1). The PGL value indicates the likelihood of a given ortholog being a gene gain, loss, or neither. A PGL value of 0 means that the gene is spread evenly through the phylogenetic tree, suggesting no gene gain or gene loss event, while a PGL value approaching 1 means that the gene is not present in most of the genomes analyzed. We used a PGL threshold of 0.1, so that PGL <0.1 was considered an ortholog that has not been gained/lost in any Ca. Electrothrix lineage. This threshold was chosen as it represents a minimum in between the low-PGL and high-PGL genes. Using this method, genes gained in Ca. Electrothrix gigas were obtained.
For the gene gains in Ca. Electrothrix gigas, translated protein sequences were examined for the presence of a signal peptide using SignalP v 6.0 (110) and of transmembrane helices using TMHMM v 2.0 (111). Protein blast analysis was performed using local blast [ncbi-blast-2.10.1+ (112); against a database of translated protein sequences (generated using makeblastdb)] from all cable bacteria genomes except the 10 Ca. Electrothrix gigas genomes (threshold cutoff: e-value 10-7) and against the NCBI nr database (e-value 0.05). For selected protein sequences, conserved domains were annotated using CD-SEARCH (113) on the public NCBI BLAST server, with InterProScan (https://www.ebi.ac.uk/interpro/) and eggNOG-mapper v2.1 (114).
Phylogenetic tree construction
16S rRNA gene trees were constructed for 16S rRNA gene sequences from 35 single filament genomes, together with already published 16S rRNA sequences of cable bacteria and other Desulfobulbaceae (16, 24). 16S rRNA gene sequences were extracted from the single filament genomes using RNAmmer v1.2 (115). Sequences were aligned using muscle (116) and a phylogenetic tree calculated using IQ-TREE v1.6.12 (117) with best-fit model GTR + F + I + G4 and 1,000 bootstrap calculations (option -b).
Whole-genome phylogenetic trees were constructed by first identifying 120 single-copy phylogenetic marker genes, aligning these genes, and concatenating the alignments using the “gtdbtk identify” and “gtdbtk align” workflows from the Genome Taxonomy Database toolkit version 0.3.2 [GTDB-Tk (118)]. A phylogenetic tree was then calculated based on this concatenated alignment using IQ-TREE version 1.6.12 (117) with best-fit model LG + F + R5 and 1,000 bootstrap calculations (option-bb).
Protein sequences for the phylogenetic tree of bacterial actin-like proteins were obtained using the publicly available NCBI BLAST server (112) against the nr database in June 2022 using the novel actin-like protein from Ca. Electrothrix gigas as query sequence. Database protein sequences down to a similarity value of 65% were included in the tree, along with MreB sequences identified by scanning all cable bacteria genomes using the MreB_Mbl model from Pfam version 14 (119) with hmmscan from HMMer v 3.1b1 (hmmer.org) and along with additional sequences for ParM, MreB, and MamK (46) and other actin-like proteins (120). Sequences were aligned using muscle v 3.8.31 (116) and then used to construct a tree with IQ-TREE v 1.6.5 (117) with best-fit model VT + R6 and 1,000 bootstraps (option -bb).
Probe design, optimization, and FISH
Probe Egiga134 (5′-CTATCCCGAGCATCTGGA-3′), targeting the 16S rRNA sequences of the 10-genome species-level clade (TGC = Ca. Electrothrix gigas) at E. coli position 134–151, was designed and evaluated for its specificity based on all available cable bacterial 16S rRNA sequences using ARB (121). For Ca. Electrothrix gigas, the probe matched 12 out of 19 cable bacteria 16S rRNA gene sequences and two defined sequence groups within the species have a single mismatch: sequences AS4, AS5, AUS3 at position 3 and AU1, AU3, AU4, and AU5 at position 6 (Table S4). One additional cable bacterium sequence (Ca. Electrothrix LOE2) had a single central mismatch (position 9, A instead of C), while all other known cable bacteria sequences had at least two central mismatches. Comparison of the probe sequence to the small subunit rRNA SILVA database SSU138.1 RefNR using TestProbe 3.0 [https://www.arb-silva.de/search/testprobe/; >390,000 sequences in the database (122)] found no identical matches and identified only one sequence with one mismatch (same as for LOE2 above). There were another 40 hits with two mismatches (at central positions) which were primarily affiliated to the Desulfobulbaceae.
MathFISH (123) was applied for formamide curve simulation and mismatch analysis of probe Egiga134. In silico analysis at a hybridization temperature of 46°C predicted that 32% formamide in the hybridization buffer would correspond to the Td of the probe and should be sufficient to discriminate perfect match Ca. Electrothrix gigas sequences from the single mismatch non-target sequence LOE2, but also from two Ca. Electrothrix gigas-groups with a single mismatch at position 6 or 3. At more relaxed hybridization conditions (0–30% formamide), probe Egiga134 was predicted to target all members of Ca. Electrothrix gigas, while the cable bacterium LOE2 with one central mismatch and cable bacteria with two or more mismatches would not be targeted.
Sediment samples from Hou (intertidal sediment, Denmark, 55.9104 N 10.2467 E) and from Rattekaai (saltmarsh, The Netherlands, 51.2621 N 4.1011 E) were fixed in 50% ethanol. FISH with Atto488-, Atto550-, or Cy3-labelled probes was performed as previously described (124), including the use of positive (EUB338) and negative (NON338) control probes, and of probe DSB706 (at 35% formamide) to identify filamentous Desulfobulbaceae. The predicted hybridization conditions were first confirmed with sediment from Hou, mixed with a sediment enrichment culture containing Ca. Electrothrix communis. Ca. Electrothrix communis (diameter d, 0.8 ± 0.1 µm; n = 11) did not hybridize with probe Egiga134 at formamide concentrations from 10 to 35%, while thick filaments (d: ~4–6 µm) yielded bright signals. Both filament types were identified as cable bacteria by hybridization with probe DSB706. Together, this confirms the specificity of probe Egiga134 for Ca. Electrothrix gigas. Probe Egiga134 was subsequently used in double hybridization experiments with DSB706 at 35% formamide with sediment from Hou. FISH with probe Egiga134 was also performed with sediment from Rattekaai at 25% formamide. 16S rRNA gene sequences of thick filaments (up to ~8 µm) from the used laboratory incubated sediment showed a perfect match to probe Egiga134.
FISH was evaluated on a Nikon Eclipse Ni-U epifluorescence microscope equipped with an Andor Zyla camera, and images were processed using NIS Elements software (Nikon). Alternatively, FISH was evaluated using a Zeiss Axioplan 2 epifluorescence microscope with a Qimaging EXi Blue camera, and image processing performed with Image-Pro Insight and ImageJ software (125).
Scanning electron microscopy
Cable bacteria were collected from Hou sediment, washed gently with water, and placed on a silicon wafer that was coated with a ~6 nm layer of platinum. After drying and sputtering with ~4 nm of platinum, the sample was imaged with Scanning Electron Microscope Versa 2D (Thermo Fisher Scientific) with ETD detector at 5 kV, 13 pA, and 10,000× magnification.
ACKNOWLEDGMENTS
We acknowledge Howard Ochman, University of Texas, for help with ortholog analysis and for hosting C.A.T. for a research visit. We thank Anne Stentebjerg, Britta Poulsen, Jesper Lundsgaard Wulff, Pia Bomholt Jensen, and Susanne Nielsen of Aarhus University and Silvia Hidalgo-Martinez and Ines Cottignie of the University of Antwerp for excellent technical assistance. Ronny Baaske (AU) is thanked for providing the enrichment culture of Ca. E. communis RB.
This study was supported by the European Research Council (Advanced Grant 291650 and Starting Grant 306933), the Danish National Research Foundation (DNRF104 and DNRF136), the Carlsberg Foundation (CF19-0666), the Research Foundation Flanders (FWO project grant G038819N), the Netherlands Organisation for Scientific Research (Vici Grant 016.VICI.170.072), and the Danish Council for Independent Research | Natural Sciences & Technology and Production Sciences.
Contributor Information
Filip J. R. Meysman, Email: Filip.Meysman@uantwerpen.be.
Amelia-Elena Rotaru, University of Southern Denmark, Odense, Denmark .
DATA AVAILABILITY
All genomic data has been submitted to Genbank under Bioproject IDs PRJNA454675 and PRJNA278504. Prokka annotations of the 40 analyzed cable bacteria genomes are available at https://doi.org/10.5281/zenodo.7273704. A 16S rRNA gene sequence was deposited in Genbank under accession number OP646468.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/spectrum.00538-23.
Tables S1–S5, Figures S1–S7 and Legend of Video S1.
Gliding Ca. Electrothrix gigas. A live preparation was made of sediment from Hou, Denmark with gliding Ca. Electrothrix gigas. The movie was captured with an iPhone11 in real time and 29.97 frames per second through the eyepiece of a Leica BioMed light microscope, with 40× objective and phase contrast.
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REFERENCES
- 1. Schulz HN, Brinkhoff T, Ferdelman TG, Mariné MH, Teske A, Jorgensen BB. 1999. Dense populations of a giant sulfur bacterium in Namibian shelf sediments. Science 284:493–495. doi: 10.1126/science.284.5413.493 [DOI] [PubMed] [Google Scholar]
- 2. Zhao X, Schwartz CL, Pierson J, Giovannoni SJ, McIntosh JR, Nicastro D. 2017. “Three-dimensional structure of the Ultraoligotrophic marine bacterium "Candidatus Pelagibacter Ubique"” Appl Environ Microbiol 83:e02807-16. doi: 10.1128/AEM.02807-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Volland J-M, Gonzalez-Rizzo S, Gros O, Tyml T, Ivanova N, Schulz F, Goudeau D, Elisabeth NH, Nath N, Udwary D, Malmstrom RR, Guidi-Rontani C, Bolte-Kluge S, Davies KM, Jean MR, Mansot J-L, Mouncey NJ, Angert ER, Woyke T, Date SV. 2022. A centimeter-long bacterium with DNA contained in metabolically active, membrane-bound organelles. Science 376:1453–1458. doi: 10.1126/science.abb3634 [DOI] [PubMed] [Google Scholar]
- 4. Schulz HN, Jorgensen BB. 2001. Big bacteria. Annu Rev Microbiol 55:105–137. doi: 10.1146/annurev.micro.55.1.105 [DOI] [PubMed] [Google Scholar]
- 5. Hinze G. 1913. Beiträge zur Kenntnis der farblosen Schwefelbakterien. Ber deutsch bot Gesellsch 31:189–202. doi: 10.1111/j.1438-8677.1913.tb05409.x [DOI] [Google Scholar]
- 6. Larkin JM, Shinabarger DL. 1983. Characterization of Thiothrix nivea. Int J Syst Evol Microbiol 33:841–846. doi: 10.1099/00207713-33-4-841 [DOI] [Google Scholar]
- 7. Nemoto F, Kojima H, Fukui M. 2011. Diversity of freshwater Thioploca species and their specific association with filamentous bacteria of the phylum Chloroflexi. Microb Ecol 62:753–764. doi: 10.1007/s00248-011-9916-6 [DOI] [PubMed] [Google Scholar]
- 8. Salman V, Yang T, Berben T, Klein F, Angert E, Teske A. 2015. Calcite-accumulating large sulfur bacteria of the genus Achromatium in Sippewissett salt marsh. ISME J 9:2503–2514. doi: 10.1038/ismej.2015.62 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Sharrar AM, Flood BE, Bailey JV, Jones DS, Biddanda BA, Ruberg SA, Marcus DN, Dick GJ. 2017. Novel large sulfur bacteria in the metagenomes of groundwater-fed chemosynthetic microbial mats in the Lake Huron basin. Front Microbiol 8:791. doi: 10.3389/fmicb.2017.00791 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Widdel F, Kohring G-W, Mayer F. 1983. Studies on dissimilatory sulfate-reducing bacteria that decompose fatty acids III. Characterization of the filamentous gliding Desulfonema limicola gen. nov. sp. nov., and Desulfonema magnum sp. nov. Arch Microbiol 134:286–294. doi: 10.1007/BF00407804 [DOI] [Google Scholar]
- 11. Ionescu D, Bizic M. 2019. Giant bacteria, p 1–10. In Encyclopedia of life sciences. John Wiley & Sons Ltd, Chichester, UK. doi: 10.1002/047001590X [DOI] [Google Scholar]
- 12. Angert ER. 2021. Challenges faced by highly polyploid bacteria with limits on DNA inheritance. Genome Biol Evol 13:evab037. doi: 10.1093/gbe/evab037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Ionescu D, Bizic-Ionescu M, De Maio N, Cypionka H, Grossart H-P. 2017. Community-like genome in single cells of the sulfur bacterium Achromatium oxaliferum. Nat Commun 8:455. doi: 10.1038/s41467-017-00342-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cornelissen R, Bøggild A, Thiruvallur Eachambadi R, Koning RI, Kremer A, Hidalgo-Martinez S, Zetsche E-M, Damgaard LR, Bonné R, Drijkoningen J, Geelhoed JS, Boesen T, Boschker HTS, Valcke R, Nielsen LP, D’Haen J, Manca JV, Meysman FJR. 2018. The cell envelope structure of cable bacteria. Front Microbiol 9:3044. doi: 10.3389/fmicb.2018.03044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Schauer R, Risgaard-Petersen N, Kjeldsen KU, Tataru Bjerg JJ, B Jørgensen B, Schramm A, Nielsen LP. 2014. Succession of cable bacteria and electric currents in marine sediment. ISME J 8:1314–1322. doi: 10.1038/ismej.2013.239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Trojan D, Schreiber L, Bjerg JT, Bøggild A, Yang T, Kjeldsen KU, Schramm A. 2016. A taxonomic framework for cable bacteria and proposal of the candidate genera Electrothrix and Electronema. Syst Appl Microbiol 39:297–306. doi: 10.1016/j.syapm.2016.05.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Burdorf LDW, Tramper A, Seitaj D, Meire L, Hidalgo-Martinez S, Zetsche E-M, Boschker HTS, Meysman FJR. 2017. Long-distance electron transport occurs globally in marine sediments. Biogeosci 14:683–701. doi: 10.5194/bg-14-683-2017 [DOI] [Google Scholar]
- 18. Dam A-S, Marshall IPG, Risgaard-Petersen N, Burdorf LDW, Marzocchi U. 2021. Effect of salinity on cable bacteria species composition and diversity. Environ Microbiol 23:2605–2616. doi: 10.1111/1462-2920.15484 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Malkin SY, Rao AMF, Seitaj D, Vasquez-Cardenas D, Zetsche E-M, Hidalgo-Martinez S, Boschker HTS, Meysman FJR. 2014. Natural occurrence of microbial sulphur oxidation by long-range electron transport in the seafloor. ISME J 8:1843–1854. doi: 10.1038/ismej.2014.41 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Risgaard-Petersen N, Kristiansen M, Frederiksen RB, Dittmer AL, Bjerg JT, Trojan D, Schreiber L, Damgaard LR, Schramm A, Nielsen LP. 2015. Cable bacteria in freshwater sediments. Appl Environ Microbiol 81:6003–6011. doi: 10.1128/AEM.01064-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Scholz VV, Martin BC, Meyer R, Schramm A, Fraser MW, Nielsen LP, Kendrick GA, Risgaard-Petersen N, Burdorf LDW, Marshall IPG. 2021. Cable bacteria at oxygen-releasing roots of aquatic plants: a widespread and diverse plant-microbe association. New Phytol 232:2138–2151. doi: 10.1111/nph.17415 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Geerlings NMJ, Karman C, Trashin S, As KS, Kienhuis MVM, Hidalgo-Martinez S, Vasquez-Cardenas D, Boschker HTS, De Wael K, Middelburg JJ, Polerecky L, Meysman FJR. 2020. Division of labor and growth during electrical cooperation in multicellular cable bacteria. Proc Natl Acad Sci U S A 117:5478–5485. doi: 10.1073/pnas.1916244117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Pfeffer C, Larsen S, Song J, Dong M, Besenbacher F, Meyer RL, Kjeldsen KU, Schreiber L, Gorby YA, El-Naggar MY, Leung KM, Schramm A, Risgaard-Petersen N, Nielsen LP. 2012. Filamentous bacteria transport electrons over centimetre distances. Nature 491:218–221. doi: 10.1038/nature11586 [DOI] [PubMed] [Google Scholar]
- 24. Kjeldsen KU, Schreiber L, Thorup CA, Boesen T, Bjerg JT, Yang T, Dueholm MS, Larsen S, Risgaard-Petersen N, Nierychlo M, Schmid M, Bøggild A, van de Vossenberg J, Geelhoed JS, Meysman FJR, Wagner M, Nielsen PH, Nielsen LP, Schramm A. 2019. On the evolution and physiology of cable bacteria. Proc Natl Acad Sci U S A 116:19116–19125. doi: 10.1073/pnas.1903514116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Thiruvallur Eachambadi R, Bonné R, Cornelissen R, Hidalgo-Martinez S, Vangronsveld J, Meysman FJR, Valcke R, Cleuren B, Manca JV. 2020. An ordered and fail-safe electrical network in cable bacteria. Adv Biosyst 4:e2000006. doi: 10.1002/adbi.202000006 [DOI] [PubMed] [Google Scholar]
- 26. Jiang Z, Zhang S, Klausen LH, Song J, Li Q, Wang Z, Stokke BT, Huang Y, Besenbacher F, Nielsen LP, Dong M. 2018. In vitro single-cell dissection revealing the interior structure of cable bacteria. Proc Natl Acad Sci U S A 115:8517–8522. doi: 10.1073/pnas.1807562115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Meysman FJR, Cornelissen R, Trashin S, Bonné R, Martinez SH, van der Veen J, Blom CJ, Karman C, Hou J-L, Eachambadi RT, Geelhoed JS, Wael KD, Beaumont HJE, Cleuren B, Valcke R, van der Zant HSJ, Boschker HTS, Manca JV. 2019. A highly conductive fibre network enables centimetre-scale electron transport in multicellular cable bacteria. Nat Commun 10:4120. doi: 10.1038/s41467-019-12115-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Bonné R, Hou J-L, Hustings J, Wouters K, Meert M, Hidalgo-Martinez S, Cornelissen R, Morini F, Thijs S, Vangronsveld J, Valcke R, Cleuren B, Meysman FJR, Manca JV. 2020. Intrinsic electrical properties of cable bacteria reveal an Arrhenius temperature dependence. Sci Rep 10:19798. doi: 10.1038/s41598-020-76671-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Parks DH, Chuvochina M, Rinke C, Mussig AJ, Chaumeil P-A, Hugenholtz P. 2022. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Res 50:D785–D794. doi: 10.1093/nar/gkab776 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Müller H, Bosch J, Griebler C, Damgaard LR, Nielsen LP, Lueders T, Meckenstock RU. 2016. Long-distance electron transfer by cable bacteria in aquifer sediments. ISME J 10:2010–2019. doi: 10.1038/ismej.2015.250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Müller H, Marozava S, Probst AJ, Meckenstock RU. 2020. Groundwater cable bacteria conserve energy by sulfur disproportionation. ISME J 14:623–634. doi: 10.1038/s41396-019-0554-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Konstantinidis KT, Rosselló-Móra R, Amann R. 2017. Uncultivated microbes in need of their own taxonomy. ISME J 11:2399–2406. doi: 10.1038/ismej.2017.113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Marzocchi U, Bonaglia S, van de Velde S, Hall POJ, Schramm A, Risgaard-Petersen N, Meysman FJR. 2018. Transient bottom water oxygenation creates a niche for cable bacteria in long-term anoxic sediments of the Eastern Gotland Basin. Environ Microbiol 20:3031–3041. doi: 10.1111/1462-2920.14349 [DOI] [PubMed] [Google Scholar]
- 34. Yarza P, Yilmaz P, Pruesse E, Glöckner FO, Ludwig W, Schleifer K-H, Whitman WB, Euzéby J, Amann R, Rosselló-Móra R. 2014. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat Rev Microbiol 12:635–645. doi: 10.1038/nrmicro3330 [DOI] [PubMed] [Google Scholar]
- 35. van de Velde S, Lesven L, Burdorf LDW, Hidalgo-Martinez S, Geelhoed JS, Van Rijswijk P, Gao Y, Meysman FJR. 2016. The impact of electrogenic sulfur oxidation on the biogeochemistry of coastal sediments: a field study. Geochim Cosmochim Acta 194:211–232. doi: 10.1016/j.gca.2016.08.038 [DOI] [Google Scholar]
- 36. van de Velde S, Van Lancker V, Hidalgo-Martinez S, Berelson WM, Meysman FJR. 2018. Anthropogenic disturbance keeps the coastal seafloor biogeochemistry in a transient state. Sci Rep 8:5582. doi: 10.1038/s41598-018-23925-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Loy A, Lehner A, Lee N, Adamczyk J, Meier H, Ernst J, Schleifer K-H, Wagner M. 2002. Oligonucleotide microarray for 16S rRNA gene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment. Appl Environ Microbiol 68:5064–5081. doi: 10.1128/AEM.68.10.5064-5081.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Lücker S, Steger D, Kjeldsen KU, MacGregor BJ, Wagner M, Loy A. 2007. Improved 16S rRNA-targeted probe set for analysis of sulfate-reducing bacteria by fluorescence in situ hybridization. J Microbiol Methods 69:523–528. doi: 10.1016/j.mimet.2007.02.009 [DOI] [PubMed] [Google Scholar]
- 39. Geerlings NMJ, Zetsche EM, Hidalgo-Martinez S, Middelburg JJ, Meysman FJR. 2019. Mineral formation induced by cable bacteria performing long-distance electron transport in marine sediments. Biogeosci 16:811–829. doi: 10.5194/bg-16-811-2019 [DOI] [Google Scholar]
- 40. Sulu-Gambari F, Seitaj D, Meysman FJR, Schauer R, Polerecky L, Slomp CP. 2016. Cable bacteria control iron-phosphorus dynamics in sediments of a coastal hypoxic basin. Environ Sci Technol 50:1227–1233. doi: 10.1021/acs.est.5b04369 [DOI] [PubMed] [Google Scholar]
- 41. Bjerg JT, Damgaard LR, Holm SA, Schramm A, Nielsen LP. 2016. Motility of electric cable bacteria. Appl Environ Microbiol 82:3816–3821. doi: 10.1128/AEM.01038-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Bobay L-M, Ochman H. 2018. Factors driving effective population size and pan-genome evolution in bacteria. BMC Evol Biol 18:153. doi: 10.1186/s12862-018-1272-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Fink G, Szewczak-Harris A, Löwe J. 2016. SnapShot: the bacterial cytoskeleton. Cell 166:522–522. doi: 10.1016/j.cell.2016.06.057 [DOI] [PubMed] [Google Scholar]
- 44. Gerdes K, Howard M, Szardenings F. 2010. Pushing and pulling in prokaryotic DNA segregation. Cell 141:927–942. doi: 10.1016/j.cell.2010.05.033 [DOI] [PubMed] [Google Scholar]
- 45. Jones LJ, Carballido-López R, Errington J. 2001. Control of cell shape in bacteria: helical, actin-like filaments in Bacillus subtilis. Cell 104:913–922. doi: 10.1016/s0092-8674(01)00287-2 [DOI] [PubMed] [Google Scholar]
- 46. Komeili A, Li Z, Newman DK, Jensen GJ. 2006. Magnetosomes are cell membrane invaginations organized by the actin-like protein MamK. Science 311:242–245. doi: 10.1126/science.1123231 [DOI] [PubMed] [Google Scholar]
- 47. Møller-Jensen J, Jensen RB, Löwe J, Gerdes K. 2002. Prokaryotic DNA segregation by an actin-like filament. EMBO J 21:3119–3127. doi: 10.1093/emboj/cdf320 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Møller-Jensen J, Löwe J. 2005. Increasing complexity of the bacterial cytoskeleton. Curr Opin Cell Biol 17:75–81. doi: 10.1016/j.ceb.2004.11.002 [DOI] [PubMed] [Google Scholar]
- 49. Polka JK, Kollman JM, Mullins RD. 2014. Accessory factors promote AlfA-dependent plasmid segregation by regulating filament nucleation, disassembly, and bundling. Proc Natl Acad Sci U S A 111:2176–2181. doi: 10.1073/pnas.1304127111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. van den Ent F, Amos LA, Löwe J. 2001. Prokaryotic origin of the actin cytoskeleton. Nature 413:39–44. doi: 10.1038/35092500 [DOI] [PubMed] [Google Scholar]
- 51. Hurley JH. 1996. The sugar kinase/heat shock protein 70/actin superfamily: implications of conserved structure for mechanism. Annu Rev Biophys Biomol Struct 25:137–162. doi: 10.1146/annurev.bb.25.060196.001033 [DOI] [PubMed] [Google Scholar]
- 52. van den Ent F, Löwe J. 2000. Crystal structure of the cell division protein FtsA from Thermotoga maritima. EMBO J 19:5300–5307. doi: 10.1093/emboj/19.20.5300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Bork P, Sander C, Valencia A. 1992. An ATPase domain common to prokaryotic cell cycle proteins, sugar kinases, actin, and hsp70 heat shock proteins. Proc Natl Acad Sci U S A 89:7290–7294. doi: 10.1073/pnas.89.16.7290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. van den Ent F, Johnson CM, Persons L, de Boer P, Löwe J. 2010. Bacterial actin MreB assembles in complex with cell shape protein RodZ. EMBO J 29:1081–1090. doi: 10.1038/emboj.2010.9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Bergeron JRC, Hutto R, Ozyamak E, Hom N, Hansen J, Draper O, Byrne ME, Keyhani S, Komeili A, Kollman JM. 2017. Structure of the magnetosome-associated actin-like MamK filament at subnanometer resolution. Protein Sci 26:93–102. doi: 10.1002/pro.2979 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Winkel M, Salman-Carvalho V, Woyke T, Richter M, Schulz-Vogt HN, Flood BE, Bailey JV, Mußmann M. 2016. Single-cell sequencing of Thiomargarita reveals genomic flexibility for adaptation to dynamic redox conditions. Front Microbiol 7:964. doi: 10.3389/fmicb.2016.00964 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Gureeva MV, Belousova EV, Dubinina GA, Novikov AA, Kopitsyn DS, Grabovich MY. 2019. Thioflexithrix psekupsensis gen. nov., sp. nov., a filamentous gliding sulfur bacterium from the family Beggiatoaceae. Int J Syst Evol Microbiol 69:798–804. doi: 10.1099/ijsem.0.003240 [DOI] [PubMed] [Google Scholar]
- 58. Kojima H, Ogura Y, Yamamoto N, Togashi T, Mori H, Watanabe T, Nemoto F, Kurokawa K, Hayashi T, Fukui M. 2015. Ecophysiology of Thioploca ingrica as revealed by the complete genome sequence supplemented with proteomic evidence. ISME J 9:1166–1176. doi: 10.1038/ismej.2014.209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Schnaars V, Wöhlbrand L, Scheve S, Hinrichs C, Reinhardt R, Rabus R. 2021. Proteogenomic insights into the physiology of marine, sulfate-reducing, filamentous Desulfonema limicola and Desulfonema magnum. Microb Physiol 31:1–20. doi: 10.1159/000513383 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Lapidus A, Nolan M, Lucas S, Glavina Del Rio T, Tice H, Cheng JF, Tapia R, Han C, Goodwin L, Pitluck S, Liolios K, Pagani I, Ivanova N, Huntemann M, Mavromatis K, Mikhailova N, Pati A, Chen A, Palaniappan K, Land M, Brambilla EM, Rohde M, Abt B, Verbarg S, Göker M, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Woyke T. 2011. Genome sequence of the filamentous, gliding Thiothrix nivea neotype strain (JP2T). Stand Genomic Sci 5:398–406. doi: 10.4056/sigs.2344929 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Kolinko S, Richter M, Glöckner F-O, Brachmann A, Schüler D. 2016. Single-cell genomics of uncultivated deep-branching magnetotactic bacteria reveals a conserved set of magnetosome genes. Environ Microbiol 18:21–37. doi: 10.1111/1462-2920.12907 [DOI] [PubMed] [Google Scholar]
- 62. Wenter R, Wanner G, Schüler D, Overmann J. 2009. Ultrastructure, tactic behaviour and potential for sulfate reduction of a novel multicellular magnetotactic prokaryote from North Sea sediments. Environ Microbiol 11:1493–1505. doi: 10.1111/j.1462-2920.2009.01877.x [DOI] [PubMed] [Google Scholar]
- 63. Anil Kumar P, Srinivas TNR, Thiel V, Tank M, Sasikala C, Ramana CV, Imhoff JF. 2009. Thiohalocapsa marina sp. nov., from an Indian marine aquaculture pond. Int J Syst Evol Microbiol 59:2333–2338. doi: 10.1099/ijs.0.003053-0 [DOI] [PubMed] [Google Scholar]
- 64. Tanaka N, Romanenko LA, Iino T, Frolova GM, Mikhailov VV. 2011. Cocleimonas flava gen. nov., sp. nov., a gammaproteobacterium isolated from sand snail (Umbonium costatum). Int J Syst Evol Microbiol 61:412–416. doi: 10.1099/ijs.0.020263-0 [DOI] [PubMed] [Google Scholar]
- 65. Lin W, Zhang W, Paterson GA, Zhu Q, Zhao X, Knight R, Bazylinski DA, Roberts AP, Pan Y. 2020. Expanding magnetic organelle biogenesis in the domain Bacteria. Microbiome 8:152. doi: 10.1186/s40168-020-00931-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Macalady JL, Lyon EH, Koffman B, Albertson LK, Meyer K, Galdenzi S, Mariani S. 2006. Dominant microbial populations in limestone-corroding stream biofilms, Frasassi cave system, Italy. Appl Environ Microbiol 72:5596–5609. doi: 10.1128/AEM.00715-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Bizic M, Brad T, Ionescu D, Barbu-Tudoran L, Zoccarato L, Aerts JW, Contarini P-E, Gros O, Volland J-M, Popa R, Ody J, Vellone D, Flot J-F, Tighe S, Sarbu SM. 2023. Cave Thiovulum (Candidatus Thiovulum stygium) differs metabolically and genomically from marine species. ISME J 17:340–353. doi: 10.1038/s41396-022-01350-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Sylvestre M-N, Jean-Louis P, Grimonprez A, Bilas P, Collienne A, Azède C, Gros O. 2021. Candidatus Thiovulum sp. strain imperiosus: the largest free-living Epsilonproteobacteraeota Thiovulum strain lives in a marine mangrove environment. Can J Microbiol 68:1–14. doi: 10.1139/cjm-2021-0101 [DOI] [PubMed] [Google Scholar]
- 69. Ionescu D, Zoccarato L, Zaduryan A, Schorn S, Bizic M, Pinnow S, Cypionka H, Grossart H-P. 2020. Heterozygous, polyploid, giant bacterium, Achromatium, possesses an identical functional inventory worldwide across drastically different ecosystems. Mol Biol Evol 38:1040–1059. doi: 10.1093/molbev/msaa273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Cuadrado A, Rojo AI, Wells G, Hayes JD, Cousin SP, Rumsey WL, Attucks OC, Franklin S, Levonen A-L, Kensler TW, Dinkova-Kostova AT. 2019. Therapeutic targeting of the NRF2 and KEAP1 partnership in chronic diseases. Nat Rev Drug Discov 18:295–317. doi: 10.1038/s41573-018-0008-x [DOI] [PubMed] [Google Scholar]
- 71. Shi X, Xiang S, Cao J, Zhu H, Yang B, He Q, Ying M. 2019. Kelch-like proteins: physiological functions and relationships with diseases. Pharmacol Res 148:104404. doi: 10.1016/j.phrs.2019.104404 [DOI] [PubMed] [Google Scholar]
- 72. Hara T, Ishida H, Raziuddin R, Dorkhom S, Kamijo K, Miki T. 2004. Novel kelch-like protein, KLEIP, is involved in actin assembly at cell-cell contact sites of Madin-Darby canine kidney cells. Mol Biol Cell 15:1172–1184. doi: 10.1091/mbc.e03-07-0531 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Sasagawa K, Matsudo Y, Kang M, Fujimura L, Iitsuka Y, Okada S, Ochiai T, Tokuhisa T, Hatano M. 2002. Identification of Nd1, a novel murine kelch family protein, involved in stabilization of actin filaments. J Biol Chem 277:44140–44146. doi: 10.1074/jbc.M202596200 [DOI] [PubMed] [Google Scholar]
- 74. Schmid MF, Matsudaira P, Jeng TW, Jakana J, Towns-Andrews E, Bordas J, Chiu W. 1991. Crystallographic analysis of acrosomal bundle from Limulus sperm. J Mol Biol 221:711–725. doi: 10.1016/0022-2836(91)80082-6 [DOI] [PubMed] [Google Scholar]
- 75. Adams J, Kelso R, Cooley L. 2000. The kelch repeat superfamily of proteins: propellers of cell function. Trends Cell Biol 10:17–24. doi: 10.1016/s0962-8924(99)01673-6 [DOI] [PubMed] [Google Scholar]
- 76. Li X, Zhang D, Hannink M, Beamer LJ. 2004. Crystal structure of the Kelch domain of human Keap1. J Biol Chem 279:54750–54758. doi: 10.1074/jbc.M410073200 [DOI] [PubMed] [Google Scholar]
- 77. Snider J, Lin F, Zahedi N, Rodionov V, Yu CC, Gross SP. 2004. Intracellular actin-based transport: how far you go depends on how often you switch. Proc Natl Acad Sci U S A 101:13204–13209. doi: 10.1073/pnas.0403092101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Rodrigues-Oliveira T, Wollweber F, Ponce-Toledo RI, Xu J, Rittmann SK-MR, Klingl A, Pilhofer M, Schleper C. 2023. Actin cytoskeleton and complex cell architecture in an Asgard archaeon. Nature 613:332–339. doi: 10.1038/s41586-022-05550-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Korotkov KV, Sandkvist M, Hol WGJ. 2012. The type II secretion system: biogenesis, molecular architecture and mechanism. Nat Rev Microbiol 10:336–351. doi: 10.1038/nrmicro2762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Naskar S, Hohl M, Tassinari M, Low HH. 2021. The structure and mechanism of the bacterial type II secretion system. Mol Microbiol 115:412–424. doi: 10.1111/mmi.14664 [DOI] [PubMed] [Google Scholar]
- 81. De Masi LG, Sturey CD, Lieberman JA, Donnenberg MS. 2013. Chapter 13 - the type 2 secretion and type 4 Pilus systems of Escherichia coli, p 387–416. In Donnenberg MS (ed), Escherichia coli, Second Edition. Academic Press, Boston. doi: 10.1016/B978-0-12-397048-0.00013-9 [DOI] [Google Scholar]
- 82. Denise R, Abby SS, Rocha EPC. 2019. Diversification of the type IV filament superfamily into machines for adhesion, protein secretion, DNA uptake, and motility. PLoS Biol 17:e3000390. doi: 10.1371/journal.pbio.3000390 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Wang F, Gu Y, O’Brien JP, Yi SM, Yalcin SE, Srikanth V, Shen C, Vu D, Ing NL, Hochbaum AI, Egelman EH, Malvankar NS. 2019. Structure of microbial nanowires reveals stacked hemes that transport electrons over micrometers. Cell 177:361–369. doi: 10.1016/j.cell.2019.03.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Filman DJ, Marino SF, Ward JE, Yang L, Mester Z, Bullitt E, Lovley DR, Strauss M. 2019. Cryo-EM reveals the structural basis of long-range electron transport in a cytochrome-based bacterial nanowire. Commun Biol 2:219. doi: 10.1038/s42003-019-0448-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Gu Y, Srikanth V, Salazar-Morales AI, Jain R, O’Brien JP, Yi SM, Soni RK, Samatey FA, Yalcin SE, Malvankar NS. 2021. Structure of Geobacter pili reveals secretory rather than nanowire behaviour. Nature 597:430–434. doi: 10.1038/s41586-021-03857-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Boschker HTS, Cook PLM, Polerecky L, Eachambadi RT, Lozano H, Hidalgo-Martinez S, Khalenkow D, Spampinato V, Claes N, Kundu P, Wang D, Bals S, Sand KK, Cavezza F, Hauffman T, Bjerg JT, Skirtach AG, Kochan K, McKee M, Wood B, Bedolla D, Gianoncelli A, Geerlings NMJ, Van Gerven N, Remaut H, Geelhoed JS, Millan-Solsona R, Fumagalli L, Nielsen LP, Franquet A, Manca JV, Gomila G, Meysman FJR. 2021. Efficient long-range conduction in cable bacteria through nickel protein wires. Nat Commun 12:3996. doi: 10.1038/s41467-021-24312-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Berne C, Ellison CK, Ducret A, Brun YV. 2018. Bacterial adhesion at the single-cell level. Nat Rev Microbiol 16:616–627. doi: 10.1038/s41579-018-0057-5 [DOI] [PubMed] [Google Scholar]
- 88. Lu HM, Motley ST, Lory S. 1997. Interactions of the components of the general secretion pathway: role of Pseudomonas aeruginosa type IV pilin subunits in complex formation and extracellular protein secretion. Mol Microbiol 25:247–259. doi: 10.1046/j.1365-2958.1997.4561818.x [DOI] [PubMed] [Google Scholar]
- 89. Mattick JS. 2002. Type IV pili and twitching motility. Annu Rev Microbiol 56:289–314. doi: 10.1146/annurev.micro.56.012302.160938 [DOI] [PubMed] [Google Scholar]
- 90. Persat A, Inclan YF, Engel JN, Stone HA, Gitai Z. 2015. Type IV pili mechanochemically regulate virulence factors in Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 112:7563–7568. doi: 10.1073/pnas.1502025112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Khayatan B, Meeks JC, Risser DD. 2015. Evidence that a modified type IV pilus-like system powers gliding motility and polysaccharide secretion in filamentous cyanobacteria. Mol Microbiol 98:1021–1036. doi: 10.1111/mmi.13205 [DOI] [PubMed] [Google Scholar]
- 92. Varga JJ, Nguyen V, O’Brien DK, Rodgers K, Walker RA, Melville SB. 2006. Type IV pili-dependent gliding motility in the gram-positive pathogen Clostridium perfringens and other Clostridia. Mol Microbiol 62:680–694. doi: 10.1111/j.1365-2958.2006.05414.x [DOI] [PubMed] [Google Scholar]
- 93. Giovannoni S. 1991. The polymerase chain reaction, p 175–201. In Stackebrandt E, Goodfellow M (ed), Nucleic acid techniques in bacterial systematics. John Wiley & Sons, New York. [Google Scholar]
- 94. Loy A, Schulz C, Lücker S, Schöpfer-Wendels A, Stoecker K, Baranyi C, Lehner A, Wagner M. 2005. 16S rRNA gene-based oligonucleotide microarray for environmental monitoring of the betaproteobacterial order "Rhodocyclales". Appl Environ Microbiol 71:1373–1386. doi: 10.1128/AEM.71.3.1373-1386.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Geelhoed JS, van de Velde SJ, Meysman FJR. 2020. Quantification of cable bacteria in marine sediments via qPCR. Front Microbiol 11:1506. doi: 10.3389/fmicb.2020.01506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Kjeldsen KU, Loy A, Jakobsen TF, Thomsen TR, Wagner M, Ingvorsen K. 2007. Diversity of sulfate-reducing bacteria from an extreme hypersaline sediment, Great Salt Lake (Utah). FEMS Microbiol Ecol 60:287–298. doi: 10.1111/j.1574-6941.2007.00288.x [DOI] [PubMed] [Google Scholar]
- 97. Hongoh Y, Ohkuma M, Kudo T. 2003. Molecular analysis of bacterial microbiota in the gut of the termite Reticulitermes speratus (Isoptera; Rhinotermitidae). FEMS Microbiol Ecol 44:231–242. doi: 10.1016/S0168-6496(03)00026-6 [DOI] [PubMed] [Google Scholar]
- 98. Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinform 30:2114–2120. doi: 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Strous M, Kraft B, Bisdorf R, Tegetmeyer HE. 2012. The binning of rnetagenomic contings for physiology of mixed cultures. Front Microbiol 3:410. doi: 10.3389/fmicb.2012.00410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Richter M, Rosselló-Móra R. 2009. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci U S A 106:19126–19131. doi: 10.1073/pnas.0906412106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW, Hauser LJ. 2010. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11:119. doi: 10.1186/1471-2105-11-119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinform 30:2068–2069. doi: 10.1093/bioinformatics/btu153 [DOI] [PubMed] [Google Scholar]
- 105. Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, Tiedje JM. 2007. DNA–DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 57:81–91. doi: 10.1099/ijs.0.64483-0 [DOI] [PubMed] [Google Scholar]
- 106. Rodriguez-R LM, Konstantinidis KT. 2016. The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes. Peerj Preprints. doi: 10.7287/peerj.preprints.1900v1 [DOI]
- 107. Bobay L-M, Ellis B-H, Ochman H. 2018. ConSpeciFix: classifying prokaryotic species based on gene flow. Bioinform 34:3738–3740. doi: 10.1093/bioinformatics/bty400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Edgar RC. 2010. Search and clustering orders of magnitude faster than BLAST. Bioinform 26:2460–2461. doi: 10.1093/bioinformatics/btq461 [DOI] [PubMed] [Google Scholar]
- 109. Csurös M. 2010. Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood. Bioinform 26:1910–1912. doi: 10.1093/bioinformatics/btq315 [DOI] [PubMed] [Google Scholar]
- 110. Teufel F, Almagro Armenteros JJ, Johansen AR, Gíslason MH, Pihl SI, Tsirigos KD, Winther O, Brunak S, von Heijne G, Nielsen H. 2022. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nat Biotechnol 40:1023–1025. doi: 10.1038/s41587-021-01156-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Krogh A, Larsson B, von Heijne G, Sonnhammer EL. 2001. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 305:567–580. doi: 10.1006/jmbi.2000.4315 [DOI] [PubMed] [Google Scholar]
- 112. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. 2009. BLAST+: architecture and applications. BMC Bioinformatics 10:421. doi: 10.1186/1471-2105-10-421 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Marchler-Bauer A, Bo Y, Han L, He J, Lanczycki CJ, Lu S, Chitsaz F, Derbyshire MK, Geer RC, Gonzales NR, Gwadz M, Hurwitz DI, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Geer LY, Bryant SH. 2017. CDD/SPARCLE: functional classification of proteins via subfamily domain architectures. Nuc Ac Res 45:D200–D203. doi: 10.1093/nar/gkw1129 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. 2021. eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol Biol Evol 38:5825–5829. doi: 10.1093/molbev/msab293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Lagesen K, Hallin P, Rødland EA, Staerfeldt H-H, Rognes T, Ussery DW. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nuc Ac Res 35:3100–3108. doi: 10.1093/nar/gkm160 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Edgar RC. 2004. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nuc Ac Res 32:1792–1797. doi: 10.1093/nar/gkh340 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. 2015. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32:268–274. doi: 10.1093/molbev/msu300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. 2019. GTDB-Tk: a toolkit to classify genomes with the genome taxonomy database. Bioinform 36:1925–1927. doi: 10.1093/bioinformatics/btz848 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. El-Gebali S, Mistry J, Bateman A, Eddy SR, Luciani A, Potter SC, Qureshi M, Richardson LJ, Salazar GA, Smart A, Sonnhammer ELL, Hirsh L, Paladin L, Piovesan D, Tosatto SCE, Finn RD. 2019. The Pfam protein families database in 2019. Nuc Ac Res 47:D427–D432. doi: 10.1093/nar/gky995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Derman AI, Becker EC, Truong BD, Fujioka A, Tucey TM, Erb ML, Patterson PC, Pogliano J. 2009. Phylogenetic analysis identifies many uncharacterized actin-like proteins (Alps) in bacteria: regulated polymerization, dynamic instability and treadmilling in Alp7A. Mol Microbiol 73:534–552. doi: 10.1111/j.1365-2958.2009.06771.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Ludwig W, Strunk O, Westram R, Richter L, Meier H, Yadhukumar, Buchner A, Lai T, Steppi S, Jobb G, Förster W, Brettske I, Gerber S, Ginhart AW, Gross O, Grumann S, Hermann S, Jost R, König A, Liss T, Lüssmann R, May M, Nonhoff B, Reichel B, Strehlow R, Stamatakis A, Stuckmann N, Vilbig A, Lenke M, Ludwig T, Bode A, Schleifer K-H. 2004. ARB: a software environment for sequence data. Nucleic Acids Res 32:1363–1371. doi: 10.1093/nar/gkh293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nuc Ac Res 41:D590–D596. doi: 10.1093/nar/gks1219 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Yilmaz LS, Parnerkar S, Noguera DR. 2011. mathFISH, a web tool that uses thermodynamics-based mathematical models for in silico evaluation of oligonucleotide probes for fluorescence in situ hybridization. Appl Environ Microbiol 77:1118–1122. doi: 10.1128/AEM.01733-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Pernthaler J, Glöckner F-O, Schönhuber W, Amann R. 2001. Fluorescence in situ hybridization (FISH) with rRNA-targeted oligonucleotide probes. Methods in Microbiology 30:207–226. doi: 10.1016/S0580-9517(01)30046-6 [DOI] [Google Scholar]
- 125. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J-Y, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. doi: 10.1038/nmeth.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Tables S1–S5, Figures S1–S7 and Legend of Video S1.
Gliding Ca. Electrothrix gigas. A live preparation was made of sediment from Hou, Denmark with gliding Ca. Electrothrix gigas. The movie was captured with an iPhone11 in real time and 29.97 frames per second through the eyepiece of a Leica BioMed light microscope, with 40× objective and phase contrast.
Data Availability Statement
All genomic data has been submitted to Genbank under Bioproject IDs PRJNA454675 and PRJNA278504. Prokka annotations of the 40 analyzed cable bacteria genomes are available at https://doi.org/10.5281/zenodo.7273704. A 16S rRNA gene sequence was deposited in Genbank under accession number OP646468.




