Skip to main content
  • Research article
  • Open access
  • Published:

Comparative genomics of molybdenum utilization in prokaryotes and eukaryotes



Molybdenum (Mo) is an essential micronutrient for almost all biological systems, which holds key positions in several enzymes involved in carbon, nitrogen and sulfur metabolism. In general, this transition metal needs to be coordinated to a unique pterin, thus forming a prosthetic group named molybdenum cofactor (Moco) at the catalytic sites of molybdoenzymes. The biochemical functions of many molybdoenzymes have been characterized; however, comprehensive analyses of the evolution of Mo metabolism and molybdoproteomes are quite limited.


In this study, we analyzed almost 5900 sequenced organisms to examine the occurrence of the Mo utilization trait at the levels of Mo transport system, Moco biosynthetic pathway and molybdoproteins in all three domains of life. A global map of Moco biosynthesis and molybdoproteins has been generated, which shows the most detailed understanding of Mo utilization in prokaryotes and eukaryotes so far. Our results revealed that most prokaryotes and all higher eukaryotes utilize Mo whereas many unicellular eukaryotes such as parasites and most yeasts lost the ability to use this metal. By characterizing the molybdoproteomes of all organisms, we found many new molybdoprotein-rich species, especially in bacteria. A variety of new domain fusions were detected for different molybdoprotein families, suggesting the presence of novel proteins that are functionally linked to molybdoproteins or Moco biosynthesis. Moreover, horizontal gene transfer event involving both the Moco biosynthetic pathway and molybdoproteins was identified. Finally, analysis of the relationship between environmental factors and Mo utilization showed new evolutionary trends of the Mo utilization trait.


Our data provide new insights into the evolutionary history of Mo utilization in nature.


The transition element molybdenum (Mo) is of essential importance for a number of molybdoproteins in almost all living organisms from bacteria to humans, where it functions as a catalytic component of these enzymes [1, 2]. Except for the iron (Fe)-Mo cofactor detected in nitrogenase, Mo is complexed by a specific pyranopterin moiety (referred to as molybdopterin), thereby generating the molybdenum cofactor (Moco) in all molybdoproteins [1,2,3,4]. In some prokaryotes such as (hyper)thermophilic archaea, Mo is usually replaced by tungsten (W) bound to the same unique pyranopterin (Wco), thus forming tungstoproteins [5, 6]. It has been reported that W is needed for enzymes within the aldehyde:ferredoxin oxidoreductase (AOR) family and some other enzymes belonging to molybdoprotein families in certain prokaryotes [7,8,9,10]. Although molybdoproteins and tungstoproteins appeared to have a preference for either of the two metals in many cases [8,9,10], the presence or exchange of both metals in certain enzymes has also been reported [11]. So far it is very difficult to distinguish the utilization of Mo and W in the majority of molybdoproteins due to similar physical-chemical and functional properties between them. Therefore, the term Moco generally refers to the utilization of both metals if not specified.

In all organisms that utilize Moco, Mo uptake and the Moco biosynthetic pathway are essential for Moco utilization [12, 13]. Three molybdate/tungstate ATP binding-cassette (ABC) transport systems (ModABC, WtpABC and W-specific TupABC) have been reported in prokaryotes [14,15,16]. In eukaryotes, the first identified molybdate transporter is MOT1, which is present in plant-type eukaryotic organisms such as land plants and green algae [17, 18]. A second type of molybdate transporter, MOT2, has recently been identified in algae and animals including humans, which might be involved in the uptake of Mo from extracellular space [19, 20]. Biosynthesis of the basic form of Moco involves three steps which are quite similar between prokaryotes and eukaryotes: (1) formation of a cyclopyranoperin monophosphate (cPMP) intermediate from GTP; (2) transformation of cPMP into mature pyranopterin; and (3) insertion of Mo into molybdopterin to form Moco [1, 2, 12, 13]. In bacteria such as Escherichia coli, six loci (moamog) comprising 16 genes have been implicated in this process [21]. In eukaryotes, at least six gene products (CNX1–3 and CNX5–7 as named in plants) are involved in the biosynthesis of Moco, which are homologous to their counterparts in bacteria [2, 22]. Additional proteins such as Moco sulfurase, Moco carrier protein and Moco-binding proteins might also be involved in cellular distribution of Moco [23,24,25].

Almost all molybdoenzymes catalyze diverse redox reactions in the global carbon, nitrogen, and sulfur cycles [12, 26]. More than 50 molybdoenzymes have been characterized in different organisms (mostly bacteria), which could be divided into five families: sulfite oxidase (SO), xanthine oxidase (XO), dimethylsulfoxide reductase (DMSOR), AOR (W-specific) and MOSC(Moco sulfurase C-terminal domain)-containing protein (including YcbX and YiiM in bacteria and mitochondrial amidoxime reducing component (mARC) in eukaryotes) [12, 13, 26,27,28,29]. Recently it has been suggested that the MOSC-containing proteins should be considered as new members of the SO family since structures for the Mo-binding domains of these proteins are similar to those of SO and nitrate reductase [21, 26]. However, such an alternative classification approach is still controversial as the MOSC-containing proteins lack significant sequence similarity to members of the SO family [30].

The majority of previous studies have primarily focused on the functions of molybdoenzymes. Although several comparative analyses of Mo utilization in a limited number of sequenced bacterial and eukaryotic genomes have revealed a wide distribution of organisms that use Mo [31,32,33], it is still unclear how this transition metal is used by different organisms and whether evolution of the Mo utilization trait (either Moco biosynthesis system or molybdoproteins) could be influenced by various ecological conditions. With recent advances in high-throughput sequencing techniques, genomes of a large number of prokaryotic and eukaryotic organisms have been decoded. These data provide new opportunities to explore the evolutionary dynamics of Mo utilization.

In this study, we performed a comprehensive analysis of the occurrence and evolution of Mo utilization in approximately 5900 sequenced organisms from archaea, bacteria and eukaryotes, which generated the largest and most detailed atlas of Mo utilization in all three domains of life. Distributions of Mo/W transporters, Moco biosynthetic pathway and molybdoprotein families were identified. A variety of fusion forms of molybdoproteins were detected, which highlight functional links between them and some other proteins. Further investigation of the whole set of molybdoproteins (molybdoproteome) of each Mo-utilizing organism revealed the presence of new molybdoprotein-rich organisms. Finally, the relationship between Mo utilization and environmental factors showed that the Mo utilization trait may favor specific environmental conditions. In general, these data advance our understanding of how Mo is used by a wide range of organisms and how the distribution and functions of molybdoenzymes have been influenced by evolutionary processes.


Occurrence of the Mo utilization trait in prokaryotes and eukaryotes

Previously, we have analyzed the distribution of the Mo utilization trait in several hundred organisms [31, 32]. In this study, we expanded such analysis to a much broader set of sequenced organisms from both prokaryotes and eukaryotes, whose number was eight times larger than previous studies. Our data demonstrated the largest Mo utilization map in all three domains of life thus far. An overall view of Mo utilization in different taxa is shown in Fig. 1 (details are shown in Additional file 1: Table S1-S3).

Fig. 1
figure 1

Distribution of the Moco biosynthetic pathway and molybdoenzyme families in bacteria, archaea and eukaryotes. The phylogenetic tree is simplified to only show major taxa and branches of bacteria (light purple background), archaea (light yellow background) and eukaryotes (light green background). The seven tracks (circles) around the tree (from inside to outside) represent the distribution patterns of Moco (Moco biosynthetic pathway), SO (sulfite oxidase), XO (xanthine oxidase), DMOSR (dimethylsulfoxide reductase), AOR (aldehyde:ferredoxin oxidoreductase), MOSC-containing protein and nitrogenase families, respectively. The length of the colored section of each column represents the percentage of organisms that possess either Moco biosynthetic pathway or the corresponding molybdoenzyme families among all sequenced organisms in this branch

The majority of sequenced organisms in each kingdom use Mo (Table 1). In bacteria, a total of 3683 (66.8%) organisms were found to utilize Mo. Except for the phyla containing very few sequenced genomes (≤5), the Mo utilization trait was detected in almost all examined subdivisions (Fig. 1). In particular, all sequenced organisms in Aquificae, Chlorobi, Cyanobacteria, Deferribacteres, Deinococcus-Thermus, Nitrospirae, Planctomycetes and Thermodesulfobacteria, as well as the majority of Acidobacteria (95.5%), Deltaproteobacteria (90.5%), Epsilonproteobacteria (89.5%), Gammaproteobacteria (87.5%) and many other bacterial taxa utilize Mo. In contrast, a small number of clades such as Chlamydiae, Tenericutes/Mollicutes and Marinimicrobia were found to lack the Mo utilization trait. A much wider occurrence of Mo utilization was observed in archaea (249 out of 256 organisms, 97.3%). Only seven sequenced organisms (including all sequenced Nanoarchaeota) lacked this trait, suggesting that Mo utilization is an essential trait for nearly all species in this domain of life. In addition, most nitrogenase-containing organisms possess the Moco utilization trait (87.7% and 90.4% for bacteria and archaea, respectively), implying that the occurrence of nitrogenase is highly related to that of the Moco biosynthetic pathway, probably due to the already-existing Mo transport systems.

Table 1 Distribution of Mo utilization trait in archaea, bacteria and eukaryotes

In eukaryotes, a total of 176 (70.4%) organisms were found to have the Mo utilization trait, especially all organisms in Dictyosteliida, Fungi/Pezizomycotina, Stramenopiles, Viridiplantae and Metazoa (Fig. 1). However, most alveolata (such as Ciliophora and Apicomplexa), yeasts (Saccharomycotina and Schizosaccharomycetes) and a number of parasitic protists responsible for serious diseases in humans and other animals (such as Diplomonadida, Entamoebidae and Kinetoplastida) appeared to have lost the ability to utilize Mo.

Almost all Mo-utilizing organisms possess both the Moco biosynthetic pathway and known molybdoproteins, indicating a good correspondence between them. Some prokaryotic organisms were found to contain only part of the Moco utilization trait (Table 2). The majority of these organisms contain highly similar homologs of different Moco-dependent molybdoprotein families but lack a complete Moco biosynthetic pathway (orphan molybdoprotein-containing organisms), most of which even lack any known Mo transporters (Additional file 1: Table S1 and Table S2). Considering that many of these organisms have not been completely sequenced or assembled, the possibility that other known genes involved in Moco biosynthesis have not been sequenced could not be fully excluded. Nevertheless, the widespread occurrence of the Mo utilization trait in both prokaryotes and eukaryotes observed here is consistent with our previous assumption that Mo utilization is an ancient trait and was once common to almost all species in the three domains of life.

Table 2 Identification of organisms containing part of the Moco utilization trait

Distribution of Mo/W uptake systems

We examined the occurrence of known Mo/W transporters in prokaryotes (Table 3). More than 90% Mo-utilizing organisms have at least one known Mo transport system, many of which contain two or more of them (Fig. 2a). In bacteria, ModABC was the most abundant Mo transport system, which was detected in 3269 (88.8%) Mo-utilizing organisms. The occurrence of TupABC and WtpABC was much more restricted, which accounted for 18.6% and 4.7% of all Mo-utilizing organisms, respectively. In archaea, WtpABC appeared to be the most common transporter, which was detected in 153 (61.4%) Mo-utilizing organisms, whereas ModABC had a much lower occurrence (29.7%) in this kingdom. These data are consistent with previous observation that ModABC is mainly a bacterial Mo transporter, while WtpABC functions predominantly in archaea [31]. However, TupABC was detected in 49.8% of Mo-utilizing archaea, whose occurrence is nearly two times higher than that in bacteria. It seems that TupABC has played a more important role in W uptake in archaea. We also checked the occurrence of a distant group of ModABC transporter (ModABC-like) which was previously predicted in several Pyrobaculum species in archaea [31]. Only seven Pyrobaculum species and Thermoproteus tenax Kra 1 were found to have this subfamily (Additional file 1: Table S2), implying that it has only recently evolved in Thermoproteales.

Table 3 Distribution of Mo transport systems
Fig. 2
figure 2

Comparison of different Mo transport systems in prokaryotes and eukaryotes. The Venn diagram is used to show the overlaps of different transporters in each kingdom. a Prokaryotes (left: bacteria; right: archaea): three classes of high-affinity Mo/W ABC transport systems are known: ModABC, WtpABC and TupABC; b Eukaryotes: two classes of Mo transporters are known: MOT1 and MOT2

A small number of organisms which contain the Mo utilization trait did not possess any of the known transporters (Table 3, Additional file 1: Table S4 and Table S5). Most of these organisms are distantly related, free-living organisms. This observation suggests that additional Mo/W uptake systems may exist. It is possible that molybdate/tungstate is transported by either sulfate transport system or nonspecific anion transporter in these organisms [34].

In eukaryotes, 57 (32.4% of Mo-utilizing organisms) and 135 (76.7%) eukaryotic organisms were found to possess MOT1 and MOT2, respectively, with an overlap of 45 organisms (Fig. 2b and Table 3). MOT2 was detected in almost all phyla that contain Mo-utilizing organisms while MOT1 was only present in several organisms that belong to Alveolata/Perkinsea, Cryptophyta, Fungi/Pezizomycotina, Stramenopiles, Viridiplantae/Streptophyta (land plants) and Viridiplantae/Chlorophyta (green algae) (Additional file 1: Table S6). All or almost all sequenced stramenopiles, land plants and green algae possess both transporters, implying that the two proteins are essential for Mo transport and homeostasis in these organisms. Similar to prokaryotes, a small number of Mo-utilizing organisms, especially all or almost all Mo-utilizing organisms belonging to Alveolata/Ciliophora and Metazoa/Arthropoda, lack both Mo transporters (Table 3, Additional file 1: Table S6), suggesting the presence of a currently unknown Mo transport system encoded in their genomes.

Distribution of molybdoproteins and molybdoproteomes

We analyzed the occurrence of all known molybdoprotein families (including nitrogenase) in currently sequenced genomes of both prokaryotes and eukaryotes (Fig. 3). Our results greatly extend previous analysis of molybdoprotein families in a limited number of organisms [33].

Fig. 3
figure 3

Distribution of molybdoprotein families in Mo-utilizing organisms. SO, sulfite oxidase; XO, xanthine oxidase; DMSOR, dimethylsulfoxide reductase, AOR, aldehyde:ferredoxin oxidoreductase

In bacteria, DMSOR was the most abundant molybdoprotein family whose members (mainly represented by formate dehydrogenase (FDH), dissimilatory nitrate reductase and DMSOR) were present in 92.6% Mo-utilizing organisms. Three other families, including MOSC-containing, XO (such as xanthine dehydrogenase (XDH), aldehyde oxidase (AO) and some other subfamilies) and SO (such as SO and assimilatory nitrate reductase) families, were also widespread in the majority of Mo-utilizing organisms (78.5%, 67.7% and 66.7%, respectively). In contrast, AOR and Fe-Mo-containing nitrogenase had a quite low occurrence (less than 20% of Mo-utilizing bacteria), implying that the two protein families are only needed by a limited number of organisms. In archaea, DMSOR was also the most widely used molybdoprotein family, which was detected in 90.8% of Mo-utilizing organisms. The AOR family had a much higher occurrence in archaea (72.3%), which was even higher than that of SO and MOSC-containing protein families (71.5% and 42.2%, respectively). The occurrence of the rest two families, XO and nitrogenase, was quite similar (29.7% and 29.3%, respectively), and the latter was only detected in methanogenic archaea.

It has been known that eukaryotes only have few members of three molybdoprotein families: SO (assimilatory nitrate reductase and SO), XO (XDH and AO) and MOSC-containing protein (mARC) families [26, 32]. Here, the three families were detected in almost all Mo-utilizing organisms (96.0%, 93.2%, 91.5% for mARC, SO and XO, respectively), suggesting that all of them are important for maintaining the proper function of Mo in Mo-utilizing eukaryotes.

We further characterized the molybdoproteomes encoded in all sequenced genomes from the three domains of life (Fig. 4; details are shown in Additional file 1: Table S1-S3). In bacteria, organisms belonging to Actinobacteria and several subdivisions of Proteobacteria (such as Alpha-, Beta-, Delta- and Gamma-proteobacteria) appeared to have larger molybdoproteomes than others. A total of 309 organisms were considered as molybdoprotein-rich organisms (defined in Methods). Previously, the largest molybdoproteome was reported in a dehalorespiring bacterium, Desulfitobacterium hafniense, which contained at least 63 molybdoproteins (95% were members of the DMSOR family) [32]. In this study, a new bacterial species, Gordonibacter pamelaeae 7–10-1-b (Actinobacteria), was found to have 73 molybdoprotein genes, 69 of which encoding different members of DMOSR (Fig. 4a). This organism was isolated from the colon of a patient suffering from acute Crohn’s disease [35]. Our results suggest that DMSOR is particularly important for the living of this organism in the host.

Fig. 4
figure 4

Distribution of molybdoproteomes in bacteria, archaea and eukaryotes. Organisms containing the largest molybdoproteomes in each kingdom are indicated. a Bacteria; b Archaea; c Eukaryotes

Very few molybdoprotein-rich organisms were observed in archaea and eukaryotes. In archaea, Haloterrigena turkmenica DSM 5511 (Natrialbales) had the largest molybdoproteome (26 molybdoproteins, Fig. 4b). In eukaryotes, land plants and arthropoda have larger molybdoproteomes than other clades. Brassica napus had the largest molybdoproteome (21 molybdoproteins, Fig. 4c) in this kingdom. Compared with previous results, the record of the size of molybdoproteomes in each domain of life has been renewed by this study.

Novel domain fusions involving molybdoproteins

It has been known that gene fusion events may provide valuable information for the inference of protein interactions [36]. In this study, we identified a variety of domain fusions for each of the molybdoprotein families. The majority of these domains are known to be functionally related to certain molybdoproteins or Moco biosynthesis. For example, XDH FAD-binding subunit was found to be fused with XDH Moco-binding subunit (XO family) in hundreds of organisms in both bacteria and eukaryotes; nitrate reductase delta and gamma subunits are fused with nitrate reductase alpha subunit (DMSOR family) in some bacterial species; cysteine desulfurase has been known to serve as primary sulfur-providing protein for the biosynthesis of Moco [37].

We also observed several new domain fusions for DMSOR, SO and/or XO families in prokaryotes, which have not been reported to be associated with either molybdoproteins or Moco utilization (Table 4). The majority of these domains were only detected within single molybdoprotein families, implying that they are functionally related to the corresponding proteins. Interestingly, three domains, pfam13442 (cytochrome C oxidase, cbb3-type, subunit III), pfam03157 (high molecular weight glutenin subunit), and pfam15449 (retinal protein with unknown function), were found to be fused with members of multiple molybdoprotein families (Fig. 5). Homologs of cbb3-type cytochrome c oxidase (COX) subunit III were previously observed to be fused with members of the SO family when analyzing molybdoproteomes in a marine metagenomic project (manuscript submitted). In this study, we found that some other molybdoproteins, such as members of XO (also containing COG2010 (CccA, cytochrome c mono- and diheme variants)) and DMSOR, were also fused with this domain. This may suggest that certain homologs of cbb3-type COX subunit III might be involved in Moco utilization or maturation for multiple molybdoproteins in prokaryotes. Functions of the other two domains are not clear; however, fusions detected between part of them and members of different molybdoprotein families suggest that they might also be related to the general utilization of Moco.

Table 4 New domain fusions identified for different molybdoprotein families
Fig. 5
figure 5

New domain fusions involving multiple molybdoprotein families. a pfam13442 (cytochrome C oxidase, cbb3-type, subunit III); b pfam03157 (high molecular weight glutenin subunit); c pfam15449 (retinal protein with unknown function)

Evidence of new horizontal gene transfer of the whole Mo utilization trait

Horizontal gene transfer (HGT) is an important mechanism for the spread of various biological processes in bacteria. Previously, it has been reported that some Mycobacterium species could acquire homologs of genes involved in Moco biosynthesis from Betaproteobacteria by HGT [38, 39]. In this study, we reconstructed the phylogenies for the key components of Moco biosynthetic pathway based on thousands of examined species.

An interesting observation is the clustering of Dielma fastidiosa JC13 (Firmicutes/Erysipelotrichia) with a variety of Firmicutes/Clostridia species (especially Clostridiales bacterium VE202–08) in the phylogenetic trees of all key Moco biosynthesis enzymes detected in this organism (MoaA, MoaC, MoeA, MoeB and MogA, Fig. 6a). The D. fastidiosa JC13 genome encodes two molybdoproteins (one MOSC-containing protein and one AOR), which is entirely distinct from molybdoproteins detected in other Erysipelotrichia species (only containing XO) but is quite similar to those in many Clostridia species. Phylogenetic analyses of MOSC-containing protein and AOR families revealed a similar evolutionary relationship between D. fastidiosa JC13 and Clostridia species (Fig. 6b). In addition, almost all genes encoding the Moco biosynthetic pathway, MOSC-containing protein and AOR are located close together or arranged in an operon in the genome of D. fastidiosa JC13 (Additional file 2: Figure S1), indicating that a very recent HGT of Mo utilization traits might have happened in this organism. Since D. fastidiosa JC13 and C. bacterium VE202–08 share quite similar environment (both were isolated from human faecal samples), it is likely that such an HGT event took place within certain host-associated habitat.

Fig. 6
figure 6

HGT of the entire Mo utilization trait. Organisms from different phyla or clades are shown in different colors. Red: Firmicutes/Clostridia, green: Firmicutes/Erysipelotrichia, purple: Firmicutes/Bacilli, blue: Others. The branch lengths and bootstrap values are also shown. a Moco biosynthetic pathway; b Molybdoproteins

Re-investigation of the relationship between Mo utilization and environmental factors

Previous studies suggested that host-associated lifestyle often led to the loss of Moco utilization trait and that different molybdoenzymes were subject to independent and dynamic evolutionary processes [31, 32]. Considering an insufficient number of genomes examined at that time, it is necessary to re-investigate such relationship using much more sequenced genomes belonging to a wider range of clades. In this study, we collected the information about living conditions for all sequenced prokaryotic organisms, and analyzed the contribution of each of these factors to Mo utilization. Considering that almost all archaea use Mo and that the majority of sequenced archaea were isolated from aquatic and anaerobic conditions, bias could be introduced when analyzing the relationship between environmental factors and Mo utilization. Therefore, we only analyzed such relationship in bacteria, which should be more reasonable to demonstrate a general evolutionary trend of Mo utilization in this kingdom.

First, habitat analysis revealed that the Mo utilization trait was most actively used by terrestrial organisms (94.05% of all sequenced terrestrial bacteria); however, only 56.30% host-associated organisms contain this trait (Fig. 7a). This is generally consistent with previous hypothesis that the use of Mo might be inhibited in host-associated condition [31, 32]. Further analysis of Mo/W transport systems showed that ModABC was most frequently used by terrestrial organisms, but TupABC might play a more important role in aquatic environments (Additional file 2: Figure S2A). With regard to molybdoproteins, except for AOR which was mainly detected in aquatic organisms, other molybdoprotein families showed a similar trend as the Mo utilization trait (Additional file 2: Figure S2A). Second, the highest proportion of Mo-utilizing organisms was found in aerobic organisms (78.92%) while approximately half of anaerobic bacteria do not use Mo, implying that oxygen has played an important role in the general evolution of Mo utilization (Fig. 7b). Analysis of Mo transporters suggested that ModABC favored an aerobic condition. In contrast, organisms possessing the other two transporters showed a wider distribution in anaerobic environments (Additional file 2: Figure S2B). As for molybdoproteins, organisms possessing AOR or nitrogenase proteins preferred anaerobic environments while organisms containing SO, XO, DMSOR or MOSC-containing proteins favored aerobic conditions (Additional file 2: Figure S2B). In addition, larger molybdoproteomes were mainly found in aerobic organisms. Other factors (such as optimal temperature, optimal pH) had no significant effect on the evolution of Mo utilization. Therefore, our results clearly support previous observations and suggest that free-living, terrestrial and aerobic conditions may help to maintain the Mo utilization trait. A future challenge would be to discover additional evolutionary patterns of Mo utilization and molybdoproteomes in the three domains of life.

Fig. 7
figure 7

Relationship between the Mo utilization trait and several environmental factors in prokaryotes. a Habitat: five types were analyzed, including host-associated, aquatic, terrestrial, multiple and specialized; b Oxygen requirement: four types were analyzed, including anaerobic, facultative, microaerophilic and aerobic


It has been known for a long time that Mo plays a very important role in a variety of organisms including bacteria, archaea, fungi, algae, plants and animals where it forms part of the active sites of a wide range of metalloenzymes [20,21,22, 40]. Much effort has been devoted to characterizing the mechanism of Moco biosynthesis and the functions of molybdoenzymes [1,2,3, 12,13,14, 41]; however, evolution of the Mo utilization trait remains largely unclear. In this study, we examined the occurrence and evolution of Mo (including W) utilization at the levels of Moco biosynthetic pathway, Mo/W transporters and molybdoproteins in both prokaryotes and eukaryotes based on a significantly increased number of sequenced genomes. To our knowledge, these data represent the largest and most comprehensive view of Mo utilization in all three domains of life.

Comparative analysis of Mo utilization trait revealed that this trace element could be widely utilized by almost all prokaryotic and eukaryotic phyla examined in this study, which further confirms our previous hypothesis that Mo could have been used by essentially all organisms, whereas parallel loss of this trait occurred in a limited number of clades [31, 32]. Interestingly, we identified several hundred organisms that contain part of the Mo utilization trait, especially those containing orphan molybdoproteins (mostly DMSOR and XO families; Additional file 1: Tables S1 and S2) with the absence of a complete Moco biosynthetic pathway. Although the possibilities that some of these genes are pseudogenes or that other known genes involved in Moco biosynthesis have not been sequenced could not be excluded, our findings may imply the presence of either new Moco biosynthetic components or Mo-independent form of these proteins. It has been reported that some metalloproteins either include both metal-dependent and metal-independent forms or have evolved to use other metals in different organisms [42]. In most cases, metal-independent forms of metalloproteins have lost specific residues or lacked a complete metal-binding motif. In spite that the Moco-binding ligands in most molybdoproteins are not clear yet, we tried to search for specific residues that might be associated with Mo binding in those protein families (say, exclusively present or absent in orphan molybdoprotein sequences). Unfortunately, no significant sequence-level features could be identified. Urgent efforts are needed to verify whether or not these orphan proteins use Mo/W.

Analyses of Mo/W transport systems and molybdoproteins provided a straightforward way to demonstrate the distribution and evolution of each of these families in Mo-utilizing organisms. In prokaryotes, ModABC and WtpABC were the most abundant Mo transporters in bacteria and archaea, respectively. The W-specific transport system, TupABC, was found to have a much more important role in archaea than in bacteria, implying that W is more frequently used by certain molybdoproteins in archaea (probably due to the wide occurrence of AOR proteins). Consistent with previous observations, DMSOR was still the most widespread molybdoenzyme family in both bacteria and archaea although its members are quite diverse in reaction, function and structure [32]. Interestingly, Bacteria had a higher occurrence of MOSC-containing protein (including YcbX and YiiM) than other molybdoenzyme families such as SO and XO, suggesting that this newly identified molybdoprotein family is actually essential for the majority of Mo-utilizing bacteria. On the other hand, AOR-dependent oxidation of aldehydes should be needed for most archaeal species but not for most bacteria. In eukaryotes, organisms containing MOT1 were less than half of those possessing MOT2, indicating that MOT2 is more important for Mo uptake and homeostasis in eukaryotes. Although very few molybdoenzymes belonging to SO, XO and MOSC-containing protein families have been reported in eukaryotes, essentially all Mo-utilizing organisms had members of all these three families, implying that they are all crucial for almost all eukaryotic species that use Mo. Further investigation of the molybdoproteomes has generated the largest molybdoprotein dataset so far, which revealed high diversity of the occurrence of these proteins in different taxa. Several hundred molybdoprotein-rich organisms were identified, which may have potential implications for the development of Mo-enriched bio-products. Actinobacteria and Proteobacteria had relatively larger molybdoproteomes than other prokaryotic phyla, especially a host-associated anaerobic actinobacterium G. pamelaeae which has the largest molybdoproteome reported to date. In eukaryotes, besides land plants that are known to have larger molybdoproteomes [32], several arthropods were also found to have larger molybdoproteomes (containing multiple members of the XO family) than many other organisms such as animals, suggesting that these molybdoproteins are important for the survival of these organisms.

As mentioned above, it is very difficult to understand how each of the two transition metals, Mo and W, is used by individual enzymes in most organisms. Recent theoretical and experimental advances on tungstoproteins have shed light on W utilization in specific organisms [7,8,9,10,11]. The currently known tungstoproteins include nearly all enzymes of the AOR family and certain enzymes of the DMSOR family, such as FDH and acetylene hydratase (ACH) from several obligately anaerobic bacteria [11, 43], and formylmethanofuran dehydrogenase (FWD) from certain methanogenic archaea [44]. Although no clear criteria (such as metal-specific motifs) have been developed to distinguish their utilization in the majority of Mo/W-utilizing organisms, we tried to predict tungstoproteins from molybdoprotein families based on similar living conditions of these organisms, which may provide a first glance at W utilization in prokaryotes. The following proteins were considered as possible tungstoproteins: (i) members of AOR; (ii) FDH and ACH orthologs in strictly anaerobic bacteria; (iii) FWD orthologs in methanogenic archaea. We found that W-containing DMSOR (represented by W-containing FDH and ACH) were present in 71.8% and 56.8% W-utilizing bacteria (verified by the presence of both the Moco biosynthetic pathway and at least one possible tungstoprotein), respectively (Additional file 2: Figure S3). However, in archaea, AOR was much more frequently used than W-containing DMSOR which mainly exists in methanogens in the form of FWD (88.7% vs. 32.0%). In addition, we found that the majority of molybdoproteins detected in G. pamelaeae (having the largest molybdoproteome) are ACH orthologs which were predicted as tungstoproteins (Additional file 2: Figure S4). Further studies are needed to verify whether these predicted tungstoproteins contain W.

A significant contribution of this work is to identify several new evolutionary events for Mo utilization, including domain fusions of different molybdoproteins and HGT of the entire Mo utilization trait. Except for domains that are previously known to be functionally linked to molybdoproteins or Moco biosynthesis, several new domains were also suggested to be associated with certain molybdoproteins or Moco utilization, especially pfam13442, pfam03157 and pfam15449 which were detected to be fused with members of multiple molybdoprotein families. These findings would not only provide clues for further understanding the complete process of Moco biosynthesis, but also offer new insights into the potential functions of additional proteins and their relationship with Mo utilization. On the other hand, HGT of the entire Mo utilization trait is very difficult because biosynthesis of Moco is a complex process which consists of a number of components. Here, for the first time, we observed HGT event for the co-transfer of both the Moco biosynthetic pathway and molybdoproteins, which may help to explore the evolutionary trends of Mo utilization in bacteria.

Finally, we re-examined the effect of several environmental factors on Mo utilization in bacteria, which suggests new evolutionary features of the Mo utilization trait. First, terrestrial organisms appeared to have a more active Mo utilization when compared with organisms living in other habitats, especially host-associated lifestyle which was previously thought to be correlated with the loss of the ability to use Mo [31]. Regarding individual proteins, ModABC and all molybdoprotein families (except AOR and nitrogenase) showed a quite similar trend as that of the Mo utilization trait, while TupABC and AOR might play a relatively more important role in aquatic bacteria. With regard to oxygen requirement, it is obvious that oxygen can generally promote Mo utilization in bacteria. ModABC and the majority of molybdoprotein families were more frequently detected in aerobic bacteria. In contrast, WtpABC, TupABC, AOR and nitrogenase showed a wider distribution in anaerobic organisms. In the future, it would be important to identify additional factors that may influence Mo utilization.


In this study, we conducted a comprehensive comparative genomic analysis of Mo utilization. We extended previous small-scale analyses to nearly 5900 sequenced genomes in the three domains of life by analyzing the occurrence of all known Mo/W transporters, Moco biosynthetic pathway and molybdoproteins. Our data generated the largest map of Mo utilization in nature, which revealed a complex and dynamic evolutionary history for the Mo utilization trait. More importantly, we identified a variety of new domain fusions for different molybdoprotein families, suggesting the presence of new proteins that are functionally linked to either molybdoproteins or Moco biosynthesis. Phylogenetic analyses of key components of the Moco biosynthetic pathway and molybdoproteins indicated HGT for the complete transfer of the whole Mo utilization trait. Finally, we analyzed the relationship between different environmental conditions and the Mo utilization trait and found new interactions between ecological environments and Mo utilization. Our work will contribute to better understanding the general features of utilization and evolution of Mo in both prokaryotes and eukaryotes.  


Genomic sequences and other resources

All sequenced genomes were retrieved from the National Center for Biotechnology Information (NCBI). A total of 5893 organisms (5387 bacterial, 256 archaeal and 250 eukaryotic genomes) were analyzed (as of April 2016). Environmental information (such as habitat, oxygen requirement, and optimal growth temperature) for each organism was acquired from NCBI, Genomes Online Database (GOLD) [45] and the Integrated Microbial Genomes project database of the Joint Genome Institute (JGI-IMG) [46].

Identification of Mo transporters, Moco biosynthesis components and molybdoproteins

We used several representative sequences of Mo/W transporters, Moco biosynthesis components and molybdoproteins as seeds to search for homologs in genomic sequences. A list of known Mo transporter systems, Moco biosynthesis components and molybdoprotein families is shown in Additional file 1: Table S7.

In prokaryotes, products of moa (moaA-moaE), mod (modABC) and moe (moeA and moeB) operons as well as mobA and mogA genes from E. coli [21], WtpABC from Pyrococcus furiosus [16], TupABC from Eubacterium acidaminophilum [15] were used to identify a primary set of homologous sequences via TBLASTN with a cut-off e-value of 0.01 and the alignment coverage of at least 20%. Repetitive TBLASTN searches were then performed within each clade (phylum or class) to identify additional homologous sequences using selected sequences from the primary data set. Orthologous proteins were then defined using the conserved domain databases (such as Pfam [47] and CDD [48]) and bidirectional best hits [49]. Additional analyses (such as gene neighborhood and phylogenetic analyses) were also used to help identify orthologs if needed. The occurrence of the Moco biosynthetic pathway was confirmed by the presence of most of the key genes involved in Moco biosynthesis and that of at least one gene in each of the three key steps (moaA and moaC for step 1; moaD, moaE and moeB for step 2; moeA and mogA for step 3). Members of known molybdoproteins (including nitrogenase) were identified using a similar strategy. Known Mo-independent proteins that are homologous to molybdoproteins, such as NADH-quinone oxidoreductase chain G (NuoG, similar to DMSOR) and nitrogenase Fe-Mo cofactor biosynthesis protein NifE (similar to nitrogenase), have been carefully excluded.

In eukaryotes, we used Arabidopsis thaliana MOT1 [18] and Chlamydomonas reinhardtii MOT2 [19] as queries to search for molybdate transporters, and A. thaliana Cnx1–3 and Cnx5–7 [12] to identify the pathway of Moco biosynthesis in sequenced organisms. Human proteins belonging to SO, XO and mARC families were used to detect homologous proteins in eukaryotes.

The Mo utilization trait was finally verified by the requirement for (i) the presence of the Moco utilization trait (including the Moco biosynthetic pathway and at least one Moco-dependent molybodoenzyme), or (ii) the presence of nitrogenase. An organism rich in molybdoproteins was then defined if it contains more than 20 molybdoprotein genes.

Distributions of the Moco biosynthetic pathway and molybdoproteins in different taxa of prokaryotes and eukaryotes were illustrated by using the online Interactive Tree Of Life (iTOL) [50] tool based on a dramatically expanded version of the tree of life that was developed very recently [51].

Multiple sequence alignment and phylogenetic analysis

Multiple sequence alignment was performed using CLUSTALW [52] with default parameters. Ambiguous alignments in highly variable or gap-rich regions were excluded. Phylogenetic trees were reconstructed by MEGA (Molecular Evolutionary Genetics Analysis) software (version 7.0) [53] using neighbor-joining method, and were further evaluated by MrBayes (Bayesian estimation of phylogeny) tool [54]. Finally, the vector graphics editor Inkscape software (version 0.91) [55] was used to refine the fonts and colors of the phylogenetic trees.



ATP binding-cassette


acetylene hydratase


aldehyde oxidase


aldehyde:ferredoxin oxidoreductase


cytochrome c oxidase


cyclopyranoperin monophosphate


dimethylsulfoxide reductase


formate dehydrogenase


ormylmethanofuran dehydrogenase


Genomes Online Database


horizontal gene transfer


online Interactive Tree Of Life


the Integrated Microbial Genomes project database of the Joint Genome Institute


mitochondrial amidoxime reducing component


Molecular Evolutionary Genetics Analysis




molybdenum cofactor


Moco sulfurase C-terminal domain


National Center for Biotechnology Information


NADH-quinone oxidoreductase chain G


sulfite oxidase




xanthine dehydrogenase


xanthine oxidase


  1. Mendel RR, Bittner F. Cell biology of molybdenum. Biochim Biophys Acta. 1763;2006:621–35.

    Google Scholar 

  2. Mendel RR, Kruse T. Cell biology of molybdenum in plants and humans. Biochim Biophys Acta. 2012;1823:1568–79.

    Article  CAS  Google Scholar 

  3. Basu P, Burgmayer SJ. Pterin chemistry and its relationship to the molybdenum cofactor. Coord Chem Rev. 2011;255:1016–38.

    Article  CAS  Google Scholar 

  4. Hu Y, Ribbe MW. Nitrogenase and homologs. J Biol Inorg Chem. 2015;20:435–45.

    Article  CAS  Google Scholar 

  5. Chan MK, Mukund S, Kletzin A, Adams MW, Rees DC. Structure of a hyperthermophilic tungstopterin enzyme, aldehyde ferredoxin oxidoreductase. Science. 1995;267:1463–9.

    Article  CAS  Google Scholar 

  6. Bevers LE, Hagedoorn PL, Hagen WR. The bioinorganic chemistry of tungsten. Coord Chem Rev. 2009;253:269–90.

    Article  CAS  Google Scholar 

  7. Roy R, Adams MW. Tungsten-dependent aldehyde oxidoreductase. a new family of enzymes containing the pterin cofactor Met Ions Biol Syst. 2002;39:673–97.

    CAS  PubMed  Google Scholar 

  8. L'vov NP, Nosikov AN, Antipov AN. Tungsten-containing enzymes. Biochemistry (Mosc). 2002;67:196–200.

    Article  CAS  Google Scholar 

  9. Andreesen JR, Makdessi K. Tungsten, the surprisingly positively acting heavy metal element for prokaryotes. Ann N Y Acad Sci. 2008;1125:215–29.

    Article  CAS  Google Scholar 

  10. Pushie MJ, Cotelesage JJ, George GN. Molybdenum and tungsten oxygen transferases - and functional diversity within a common active site motif. Metallomics. 2014;6:15–24.

    Article  CAS  Google Scholar 

  11. Hartmann T, Schwanhold N, Leimkühler S. Assembly and catalysis of molybdenum or tungsten-containing formate dehydrogenases from bacteria. Biochim Biophys Acta. 2015;1854:1090–100.

    Article  CAS  Google Scholar 

  12. Schwarz G, Mendel RR. Molybdenum cofactor biosynthesis and molybdenum enzymes. Annu Rev Plant Biol. 2006;57:623–47.

    Article  CAS  Google Scholar 

  13. Schwarz G, Mendel RR, Ribbe MW. Molybdenum cofactors, enzymes and pathways. Nature. 2009;460:839–47.

    Article  CAS  Google Scholar 

  14. Grunden AM, Shanmugam KT. Molybdate transport and regulation in bacteria. Arch Microbiol. 1997;168:345–54.

    Article  CAS  Google Scholar 

  15. Makdessi K, Andreesen JR, Pich A. Tungstate uptake by a highly specific ABC transporter in Eubacterium acidaminophilum. J Biol Chem. 2001;276:24557–64.

    Article  CAS  Google Scholar 

  16. Bevers LE, Hagedoorn PL, Krijger GC, Hagen WR. Tungsten transport protein a (WtpA) in Pyrococcus furiosus: the first member of a new class of tungstate and molybdate transporters. J Bacteriol. 2006;188:6498–505.

    Article  CAS  Google Scholar 

  17. Tejada-Jiménez M, Llamas A, Sanz-Luque E, Galván A, Fernández E. A high-affinity molybdate transporter in eukaryotes. Proc Natl Acad Sci U S A. 2007;104:20126–30.

    Article  Google Scholar 

  18. Tomatsu H, Takano J, Takahashi H, Watanabe-Takahashi A, Shibagaki N, Fujiwara T. An Arabidopsis thaliana high-affinity molybdate transporter required for efficient uptake of molybdate from soil. Proc Natl Acad Sci U S A. 2007;104:18807–12.

    Article  CAS  Google Scholar 

  19. Tejada-Jiménez M, Galván A, Fernández E. Algae and humans share a molybdate transporter. Proc Natl Acad Sci U S A. 2011;108:6420–5.

    Article  Google Scholar 

  20. Tejada-Jiménez M, Chamizo-Ampudia A, Galván A, Fernández E, Llamas Á. Molybdenum metabolism in plants. Metallomics. 2013;5:1191–203.

    Article  Google Scholar 

  21. Iobbi-Nivol C, Leimkühler S. Molybdenum enzymes, their maturation and molybdenum cofactor biosynthesis in Escherichia coli. Biochim Biophys Acta. 2013;1827:1086–101.

    Article  CAS  Google Scholar 

  22. Mendel RR, Hänsch R. Molybdoenzymes and molybdenum cofactor in plants. J Exp Bot. 2002;53:1689–98.

    Article  CAS  Google Scholar 

  23. Bittner F, Oreb M, Mendel RR. ABA3 is a molybdenum cofactor sulfurase required for activation of aldehyde oxidase and xanthine dehydrogenase in Arabidopsis thaliana. J Biol Chem. 2001;276:40381–4.

    Article  CAS  Google Scholar 

  24. Fischer K, Llamas A, Tejada-Jimenez M, Schrader N, Kuper J, Ataya FS, et al. Function and structure of the molybdenum cofactor carrier protein from Chlamydomonas reinhardtii. J Biol Chem. 2006;281:30186–94.

    Article  CAS  Google Scholar 

  25. Kruse T, Gehl C, Geisler M, Lehrke M, Ringel P, Hallier S, et al. Identification and biochemical characterization of molybdenum cofactor-binding proteins from Arabidopsis thaliana. J Biol Chem. 2010;285:6623–35.

    Article  CAS  Google Scholar 

  26. Hille R, Hall J, Basu P. The mononuclear molybdenum enzymes. Chem Rev. 2014;114:3963–4038.

    Article  CAS  Google Scholar 

  27. Havemeyer A, Bittner F, Wollers S, Mendel R, Kunze T, Clement B. Identification of the missing component in the mitochondrial benzamidoxime prodrug-converting system as a novel molybdenum enzyme. J Biol Chem. 2006;281:34796–802.

    Article  CAS  Google Scholar 

  28. Kozmin SG, Leroy P, Pavlov YI, Schaaper RM. YcbX and yiiM, two novel determinants for resistance of Escherichia coli to N-hydroxylated base analogues. Mol Microbiol. 2008;68:51–65.

    Article  CAS  Google Scholar 

  29. Ott G, Havemeyer A, Clement B. The mammalian molybdenum enzymes of mARC. J Biol Inorg Chem. 2015;20:265–75.

    Article  CAS  Google Scholar 

  30. Gladyshev VN, Zhang Y. Abundance, ubiquity, and evolution of molybdoenzymes. In: Hille R, editor. Molybdenum and tungsten enzymes: biochemistry. The Royal Society of Chemistry; 2016. p. 81–99.

    Chapter  Google Scholar 

  31. Zhang Y, Gladyshev VN. Molybdoproteomes and evolution of molybdenum utilization. J Mol Biol. 2008;379:881–99.

    Article  CAS  Google Scholar 

  32. Zhang Y, Gladyshev VN. General trends in trace element utilization revealed by comparative genomic analyses of co, cu, Mo, Ni, and se. J Biol Chem. 2010;285:3393–405.

    Article  CAS  Google Scholar 

  33. Zhang Y, Rump S, Gladyshev VN. Comparative genomics and evolution of molybdenum utilization. Coord Chem Rev. 2011;255:1206–17.

    Article  CAS  Google Scholar 

  34. Aguilar-Barajas E, Díaz-Pérez C, Ramírez-Díaz MI, Riveros-Rosas H, Cervantes C. Bacterial transport of sulfate, molybdate, and related oxyanions. Biometals. 2011;24:687–707.

    Article  CAS  Google Scholar 

  35. Würdemann D, Tindall BJ, Pukall R, Lünsdorf H, Strömpl C, Namuth T, et al. Gordonibacter pamelaeae gen. Nov., sp. nov., a new member of the Coriobacteriaceae isolated from a patient with Crohn's disease, and reclassification of Eggerthella hongkongensis Lau et al. 2006 as Paraeggerthella hongkongensis gen. Nov., comb. nov. Int J Syst Evol Microbiol. 2009;59:1405–15.

    Article  Google Scholar 

  36. Promponas VJ, Ouzounis CA, Iliopoulos I. Experimental evidence validating the computational inference of functional associations from gene fusion events: a critical survey. Brief Bioinform. 2014;15:443–54.

    Article  CAS  Google Scholar 

  37. Leimkühler S, Bühning M, Beilschmidt L. Shared sulfur mobilization routes for tRNA Thiolation and molybdenum cofactor biosynthesis in prokaryotes and eukaryotes. Biomol Ther 2017;7(1). pii: E5.

  38. Voss M, Nimtz M, Leimkühler S. Elucidation of the dual role of mycobacterial MoeZR in molybdenum cofactor biosynthesis and cysteine biosynthesis. PLoS One. 2011;6:e28170.

    Article  CAS  Google Scholar 

  39. Levillain F, Poquet Y, Mallet L, Mazères S, Marceau M, Brosch R, et al. Horizontal acquisition of a hypoxia-responsive molybdenum cofactor biosynthesis pathway contributed to Mycobacterium tuberculosis pathoadaptation. PLoS Pathog. 2017;13:e1006752.

    Article  Google Scholar 

  40. Mendel RR, Leimkühler S. The biosynthesis of the molybdenum cofactors. J Biol Inorg Chem. 2015;20:337–47.

    Article  CAS  Google Scholar 

  41. Krausze J, Probst C, Curth U, Reichelt J, Saha S, Schafflick D, et al. Dimerization of the plant molybdenum insertase Cnx1E is required for synthesis of the molybdenum cofactor. Biochem J. 2017;474:163–78.

    Article  CAS  Google Scholar 

  42. Zhang Y, Gladyshev VN. Comparative genomics of trace element dependence in biology. J Biol Chem. 2011;286:23623–9.

    Article  CAS  Google Scholar 

  43. Seiffert GB, Ullmann GM, Messerschmidt A, Schink B, Kroneck PM, Einsle O. Structure of the non-redox-active tungsten/[4Fe:4S] enzyme acetylene hydratase. Proc Natl Acad Sci U S A. 2007;104:3073–7.

    Article  CAS  Google Scholar 

  44. Vorholt JA, Thauer RK. Molybdenum and tungsten enzymes in C1 metabolism. Met Ions Biol Syst. 2002;39:571–619.

    CAS  PubMed  Google Scholar 

  45. Reddy TB, Thomas AD, Stamatis D, Bertsch J, Isbandi M, Jansson J, et al. The genomes OnLine database (GOLD) v.5: a metadata management system based on a four level (meta) genome project classification. Nucleic Acids Res. 2015;43:D1099–106.

    Article  CAS  Google Scholar 

  46. Markowitz VM, Chen IM, Palaniappan K, Chu K, Szeto E, Pillay M, et al. IMG 4 version of the integrated microbial genomes comparative analysis system. Nucleic Acids Res. 2014;42:D560–7.

    Article  CAS  Google Scholar 

  47. Finn RD, Coggill P, Eberhardt RY, Eddy SR, Mistry J, Mitchell AL, et al. The Pfam protein families database: towards a more sustainable future. Nucleic Acids Res. 2016;44:D279–85.

    Article  CAS  Google Scholar 

  48. Marchler-Bauer A, Lu S, Anderson JB, Chitsaz F, Derbyshire MK, DeWeese-Scott C, et al. CDD: a conserved domain database for the functional annotation of proteins. Nucleic Acids Res. 2011;39:D225–9.

    Article  CAS  Google Scholar 

  49. Wolf YI, Koonin EV. A tight link between orthologs and bidirectional best hits in bacterial and archaeal genomes. Genome Biol Evol. 2012;4:1286–94.

    Article  Google Scholar 

  50. Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016;44:W242–5.

    Article  CAS  Google Scholar 

  51. Hug LA, Baker BJ, Anantharaman K, Brown CT, Probst AJ, Castelle CJ, et al. A new view of the tree of life. Nat Microbiol. 2016;1:16048.

    Article  CAS  Google Scholar 

  52. Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22:4673–80.

    Article  CAS  Google Scholar 

  53. Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–4.

    Article  CAS  Google Scholar 

  54. Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012;61:539–42.

    Article  Google Scholar 

  55. Yuan S, Chan HC, Filipek S, Vogel H. PyMOL and Inkscape bridge the data and the data visualization. Structure. 2016;24:2041–2.

    Article  CAS  Google Scholar 

Download references

Availability of data and materials

Sequences of molybdoproteins analyzed during the current study are available as Additional file 3.


This work was supported by the National Natural Science Foundation of China (grant number 31771407) and the Natural Science Foundation of Guangdong Province (grant number 2015A030313555).

Author information

Authors and Affiliations



TP and YZ designed the study. TP carried out the majority of the research and wrote the manuscript. YX performed part of the study such as domain fusion analysis. YZ supervised the entire project and edited the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yan Zhang.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Table S1. Occurrence of the Mo utilization trait in bacteria. Table S2. Occurrence of the Mo utilization trait in archaea. Table S3. Occurrence of the Mo utilization trait in eukaryotes. Table S4. Distribution of Mo transporters in Mo-utilizing bacteria. Table S5. Distribution of Mo transporters in Mo-utilizing archaea. Table S6. Distribution of Mo transporters in Mo-utilizing eukaryotes. Table S7. List of Mo transporters, Moco biosynthesis components and molybdoproteins. (XLSX 488 kb)

Additional file 2:

Figure S1. Genomic content of genes encoding the Moco biosynthetic pathway, MOSC-containing protein and AOR in D. fastidiosa JC13. Figure S2. Relationship between Mo/W transport systems, molybdoproteins and environmental factors in bacteria. Figure S3. Distribution of predicted tungstoprotein families. Figure S4. Phylogenetic analysis of ACH proteins in Gordonibacter pamelaeae 7–10-1-b. (PDF 444 kb)

Additional file 3:

This file contains all molybdoprotein sequences analyzed in this study. (TXT 32763 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peng, T., Xu, Y. & Zhang, Y. Comparative genomics of molybdenum utilization in prokaryotes and eukaryotes. BMC Genomics 19, 691 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: