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Bacterial Community Analysis of Biofilm Formed on Metal Joint

Bacterial Community Analysis of Biofilm Formed on Metal Joint Communication 1 2 2 , Hironaga Akita , Yoshiki Shinto and Zen-ichiro Kimura * Research Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), 3-11-32 Kagamiyama, Higashi-Hiroshima 739-0046, Japan Department of Civil and Environmental Engineering, National Institute of Technology, Kure College, 2-2-11 Aga-Minami, Kure 737-8506, Japan * Correspondence: z-kimura@kure-nct.ac.jp; Tel.: +81-(0)-823-73-8486 Abstract: Microbiologically influenced corrosion (MIC) is caused by biofilms formed on metal surfaces, and MIC of metal alloys on marine infrastructure leads to severe accidents and great economic losses. Although bacterial community analyses of the biofilms collected from corroded metal have been studied, the analyses of biofilms collected from uncorroded metal are rarely reported. In this study, a biofilm formed on an uncorroded metal joint attached to a metal dock mooring at Akitsu Port was used as a model for bacterial community analysis. The bacterial community was analyzed by high-throughput sequencing of the V3–V4 variable regions of the 16S rRNA gene. Bacterial species contained in the biofilms were identified at the genus level, and Alkanindiges bacteria were the dominant species, which have been not reported as the dominant species in previous research on MIC. The genome sequences of known Alkanindiges bacteria do not have conserved gene clusters required to cause metal corrosion, which suggests that Alkanindiges bacteria do not corrode metals but act on the formation of biofilms. Those findings indicated that the bacterial community may change significantly during the process from biofilm formation to the occurrence of metal corrosion. Keywords: 16S rRNA gene; bacterial community analysis; microbiologically influenced corrosion; biofilm; Alkanindiges Citation: Akita, H.; Shinto, Y.; Kimura, Z.-i. Bacterial Community Analysis of Biofilm Formed on Metal Joint. Appl. Biosci. 2022, 1, 221–228. https://doi.org/10.3390/ 1. Introduction applbiosci1020014 Metal alloys are widely used as raw materials for the construction of vessels, bridges, and factories using established molding technology to create products intended for long- Academic Editor: Robert Henry term use in marine environments. In marine environments, biofilms are formed when Received: 30 June 2022 microorganisms adhere to metal surfaces. Biofilms are complexes of microorganisms with Accepted: 2 September 2022 a three-dimensional structure, which is enclosed in an extracellular polymeric substance Published: 6 September 2022 (EPS) matrix [1]. Inside the biofilm, extracellular matrix proteins and exogenous genes are Publisher’s Note: MDPI stays neutral transported through the EPS matrix, which encourages microbial growth [1]. Moreover, a with regard to jurisdictional claims in well-developed biofilm tightly adheres to metal surfaces by extracellular polysaccharides published maps and institutional affil- of the EPS matrix, which is difficult to remove completely. The microorganisms inside the iations. biofilm are protected from stresses caused by environmental changes and chemical sub- stances. As such, a favorable environment for microbial growth is formed inside the biofilm, and the microbial community develops to a high density over time. In biofilms formed on metal surfaces, microbiologically influenced corrosion (MIC) is caused by various microbial Copyright: © 2022 by the authors. factors, such as metal oxidation by electron transfer from the metal surface to bacteria [2] Licensee MDPI, Basel, Switzerland. and accumulation of corrosive metabolites [3]. MIC causes serious problems for metal This article is an open access article infrastructure in the marine environment, and economic losses from MIC were estimated to distributed under the terms and be $2.5 trillion in 2013, which is equivalent to about 3.4% of gross world product [4]. MIC conditions of the Creative Commons assessments in the marine environment have been reported for carbon steel [5], stainless Attribution (CC BY) license (https:// steel [6], and low-alloy steel [7]. In those reports, Bacillus, Desulfovibrio, and Desulfobacter creativecommons.org/licenses/by/ have been detected as the dominant bacteria, and the developmental mechanisms of those 4.0/). Appl. Biosci. 2022, 1, 221–228. https://doi.org/10.3390/applbiosci1020014 https://www.mdpi.com/journal/applbiosci Appl. Biosci. 2022, 1, FOR PEER REVIEW 2 carbon steel [5], stainless steel [6], and low-alloy steel [7]. In those reports, Bacillus, Desul- fovibrio, and Desulfobacter have been detected as the dominant bacteria, and the develop- mental mechanisms of those bacteria are discussed. By contrast, bacterial community Appl. Biosci. 2022, 1 222 analyses of biofilms collected from uncorroded metal have rarely been reported, and our understanding of the community structure is limited. Thus, changes in bacterial commu- nity from development of biofilm to occurrence of metal corrosion have not been eluci- bacteria are discussed. By contrast, bacterial community analyses of biofilms collected from dated in detail. We consider that microbial community analyses of biofilms collected from uncorroded metal have rarely been reported, and our understanding of the community uncorroded metal in the marine environment are important to understand the mechanism structure is limited. Thus, changes in bacterial community from development of biofilm of MIC, and elucidation of the mechanism may lead to the establishment of measures to to occurrence of metal corrosion have not been elucidated in detail. We consider that prevent the occurrence of metal corrosion [8]. microbial community analyses of biofilms collected from uncorroded metal in the marine High-throughput amplicon sequencing is a powerful method for the identification of environment are important to understand the mechanism of MIC, and elucidation of the target genes in large amounts of unexamined genetic material from the environmental mechanism may lead to the establishment of measures to prevent the occurrence of metal corr microbiome osion [8]. [9]. In this method, microbial DNA is extracted from the environmental sam- High-throughput amplicon sequencing is a powerful method for the identification ple, and target genes are then amplified by polymerase chain reaction (PCR) using the of target genes in large amounts of unexamined genetic material from the environmen- extracted DNA as a template and primers designed to bind to the template. Subsequently, tal microbiome [9]. In this method, microbial DNA is extracted from the environmental the amplified regions (amplicons) are sequenced by a next-generation sequencer. Since sample, and target genes are then amplified by polymerase chain reaction (PCR) using the hundreds to thousands of different amplicons can be sequenced together by a next-gen- extracted DNA as a template and primers designed to bind to the template. Subsequently, eration sequencer, this method can efficiently identify target genes. In bacterial genomic the amplified regions (amplicons) are sequenced by a next-generation sequencer. Since hun- DNA, several housekeeping genes are conserved to ensure cell maintenance and growth. dreds to thousands of different amplicons can be sequenced together by a next-generation In particular, the 16S rRNA gene encodes the 30S ribosomal subunit that is essential for sequencer, this method can efficiently identify target genes. In bacterial genomic DNA, several the transl housekeeping ation of mR genes NA aar nd p e conserved rotein synthesis, but it has to ensure cell maintenance genus-sp and ecif gr ic va owth. riable In regions, particular, the 16S rRNA gene encodes the 30S ribosomal subunit that is essential for the such as V1–V9 [10]. Almost all bacterial taxa can theoretically be identified based on the translation of mRNA and protein synthesis, but it has genus-specific variable regions, 16S rRNA gene sequence. Thus, bacterial community analysis based on high-throughput such as V1–V9 [10]. Almost all bacterial taxa can theoretically be identified based on the sequencing of 16S rRNA gene fragments can characterize the bacterial microbiome [10]. 16S rRNA gene sequence. Thus, bacterial community analysis based on high-throughput In this study, to investigate the bacterial community that contributes to MIC, a bio- sequencing of 16S rRNA gene fragments can characterize the bacterial microbiome [10]. film formed on an uncorroded metal joint attached to a metal dock mooring was used as In this study, to investigate the bacterial community that contributes to MIC, a biofilm a model. Using bacterial genomic DNA prepared from the biofilm, the variable region V3– formed on an uncorroded metal joint attached to a metal dock mooring was used as a V4 of the 16S rRNA gene was amplified by PCR, and high-throughput amplicon sequenc- model. Using bacterial genomic DNA prepared from the biofilm, the variable region V3–V4 of in the g wa 16S s ca rRNA rried out gene was . The ba amplified cteriaby l commu PCR, and nity high-thr was identified oughput amplicon at the gen sequenc us leve ing l based on was carried out. The bacterial community was identified at the genus level based on the the operation taxonomic units (OTUs). operation taxonomic units (OTUs). 2. Materials and Methods 2. Materials and Methods 2.1. Sampling 2.1. Sampling A biofilm that formed on an uncorroded metal joint attached to a metal dock mooring A biofilm that formed on an uncorroded metal joint attached to a metal dock mooring was collected in Akitsu Port in Hiroshima prefecture, Japan (Figure 1). After collection, was collected in Akitsu Port in Hiroshima prefecture, Japan (Figure 1). After collection, the samples were put into sterile tubes and immediately placed in a cool box at 4 C, then the samples were put into sterile tubes and immediately placed in a cool box at 4 °C, then transported to the lab within a few hours. transported to the lab within a few hours. Sampling point Figure 1. Image of the sampling point. The sampling point for the collection of the biofilm is indi- Figure 1. Image of the sampling point. The sampling point for the collection of the biofilm is indicated cated by a black arrow. by a black arrow. Appl. Biosci. 2022, 1 223 2.2. Genomic DNA Extraction and PCR Conditions Genomic DNA was extracted from the biofilm using an illustra™ bacteria genomicPrep Mini Spin Kit (GE Healthcare, Chicago, IL, USA) according to the manufacturer ’s in- structions, and the concentration and purity were measured using a NanoDrop ND-1000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Using the genomic DNA as a template, the V3–V4 variable regions of the 16S rRNA genes were amplified by KOD -Plus- (TOYOBO, Osaka, Japan) using bacterial domain-specific primers 341F (5 - TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGCCTACGGGNGGCWGCAG-3 ) [11] and 805R (5 -GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGACTACHVGGGTAT CTAATCC-3 ) [12]. For amplification of the 16S rRNA genes, samples were subjected to initial denaturation at 94 C for 2 min, followed by 35 cycles of denaturation at 98 C for 10 s, annealing at 55 C for 30 s, and extension at 68 C for 30 s, and the final extension at 68 C for 5 min. 2.3. Sequencing Library Preparation, Sequencing, and Bioinformatics Analysis The length of the PCR products was confirmed using 1.0% agarose gel electrophoresis, and the samples (approximately 450 bp) were then purified using a Wizard SV Gel and PCR Clean-up System (Promega, Madison, WI, USA). The microbiome sequence libraries were prepared using a Nextera XT DNA Library Preparation Kit (Illumina, San Diego, CA, USA) according to the manufacturer ’s instruc- tions. The concentrations of the sequence libraries were measured using a Quanti Fluor™ dsDNASystem (Promega). The libraries were sequenced using a MiSeq sequencer (Illumina) with a MiSeq Reagent Kit v3 (Illumina). The bacterial community was analyzed using the QIIME 2 microbiome bioinformatics platform [13]. After the quality of the sequence data was confirmed using a FastQC ver.0.11.9 [14], the amplicon sequence variants (ASVs) were prepared based on the filtered data using the DADA2 algorithm [15]. The ASVs were grouped into OTUs at 99% sequence identity using the taxonomic databases of Sliva ver. 138 [16,17]. To construct a phylogenetic tree based on the variable regions of 16S rRNA gene sequences, the OTU dataset was also subjected to phylogenetic analysis with MEGA 11 software [18]. The consensus bootstrap phylogenetic tree was constructed using the neighbor-joining method. 3. Results and Discussion Among the OTUs, a total of 18 genera of bacteria were observed, and the proportion of unclassified bacteria was less than 0.1% (Figure 2). Alkanindiges bacteria were observed as the dominant species, and their relative abundance was more than 95%. Apart from Alkanindiges, several bacteria such as Sphingomonas and Pseudomonas were also observed as OTUs, but the relative abundances of those bacteria were less than 3%. To confirm the phylogenetic relationship of the bacteria comprising more than 1% of the OTUs, a neighbor- joining tree based on the V3–V4 variable regions of the 16S rRNA gene was constructed. In the neighbor-joining tree, nine kinds of Alkanindiges bacteria formed a cluster with T T T A. hongkongensis HKU9 , A. illinoisensis MVAB Hex1 , and A. hydrocarboniclasticus H1 (Figure 3). Alkanindiges bacteria belong to a class of Gammaproteobacteria and can grow using several kinds of hydrocarbons degraded from petroleum [19], so Alkanindiges bacteria are a major contributor to the bioremediation of petroleum-contaminated soil [20–22]. To our knowledge, there is a report of Gammaproteobacteria being observed as more than 90% of OTUs in a biofilm collected from a metal surface [6], but there are no reports of Alkanindiges bacteria accounting for more than 90% of the total. Lichen is a complex organism of algae, fungi, and bacteria that grows on a wide range of substrates, from natural surfaces to artificial materials such as metal, glass, rubber, and plastic [23]. For example, Stereocaulon japonicum and Cladonia humilis grow in Cu- polluted sites around Cu-roofed temple buildings by their Cu-accumulation capacity [24]. Fernández-Brime et al. reported the bacterial communities associated with a lichen symbio- sis, and more than 20 orders of bacteria were observed in several lichenized samples [25]. Appl. Biosci. 2022, 1, FOR PEER REVIEW 4 Appl. Biosci. 2022, 1 224 Appl. Biosci. 2022, 1, FOR PEER REVIEW 4 and more than 20 orders of bacteria were observed in several lichenized samples [25]. Moreover, 11 genera of bacteria observed in this study, such as Alkanindiges, Sphingomonas, Moreover, 11 genera of bacteria observed in this study, such as Alkanindiges, Sphingomonas, Pseudomonas, Roseateles, Allorhizobium/Neorhizobium/Pararhizobium/Rhizobium, Brevundimo- Pseudomonas and more th , an 20 orde Roseateles, Allor rs ofhizobium bacteria we /Neor re hizobium observed /Parar in sever hizobium al lich /Rhizobium enized samples [25]. , Brevundi- nas, Reyranella, Massilia, Pantoea, Mucilaginibacter, Asinibacterium, Roseomonas, Hymenobac- monas Moreover, 11 genera , Reyranella, Massilia of b, aPantoea cteria obse , Mucilaginibacter rved in this study , Asinibacterium , such as Al,kani Roseomonas ndiges, Sphingomonas , Hymenobac-, ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime Pseudomonas, Roseateles, Allorhizobium/Neorhizobium/Pararhizobium/Rhizobium, Brevundimo- et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to nas, Reyranella, Massilia, Pantoea, Mucilaginibacter, Asinibacterium, Roseomonas, Hymenobac- metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime rence of metal corrosion, it is necessary to consider bacterial community analysis includ- rence of metal corrosion, it is necessary to consider bacterial community analysis including et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to lichen in the future. ing lichen in the future. metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- rence of metal corrosion, it is necessary to consider bacterial community analysis includ- ing lichen in the future. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Alkanindiges sp. A 5 lkanindiges sp. 5 66 66 Alkanindiges sp. 7 Alkanindiges sp. 7 Alkanindiges sp. 1 42 Alkanindiges sp. 1 Alkanindiges sp. 3 Alkanindiges sp. 3 Alkanindi57 ges sp. 4 Alkanindiges sp. 4 Alkanindiges sp. 2 Alkanindiges sp. 2 Alkanindiges sp. 9 96 Alkanindiges sp. 9 Alkanindiges sp. 8 Alkanindiges sp. 8 99 Alkanindiges sp. 6 99 Alkanindiges sp. 6 Alkanindiges hongkongensis HKU9 58 Alkanindiges hongkongensis HKU9 Alkanindiges illinoisensis MVAB Hex1 58 T Alkanindiges T illinoisensis MVAB Hex1 Alkanindiges hydrocarboniclasticus H1 T T Escherichi A a col lkani i JC ndi M ges 1649 hydrocarboniclasticus H1 Moraxella lacunata ATCC 17967 T Escherichia coli JCM1649 Pseudomonas aeruginosa DSM 50071 Moraxella lacunata ATCC 17967 30 Pseudomonas sp. 1 99 T Pseudomonas aeruginosa DSM 50071 91 Pseudomonas koreensis 9-14 Pseudomonas sp. 1 Caulobacter vibrioides DSM 9893 Pseudomonas koreensis 9-14 Sphingomonas paucimobilis DSM 1098 98 T Caulobacter vibrioides DSM 9893 Sphingomonas sp. 1 27 99 Sphingomonas paucimobilis DSM 1098 Sphingomonas jeddahensis G39 Sphingomonas sp. 1 T 99 Sphingobacterium spiritivorum JCM 1733 Sphingomonas jeddahensis G39 0.05 Sphingobacterium spiritivor um JCM 1733 Figure 3. Consensus 0.05 bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S Figure 3. Consensus bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the Figure 3. Consensus bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the T of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as the nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis the outgroup. The bar indicates a 0.05% nucleotide substitution rate. outgroup. The bar indicates a 0.05% nucleotide substitution rate. of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as the outgroup. The bar indicat The detailed molecular m es a echani 0.05% sms nucleotide of MIC subst are still unc itution rate. lear, but electron transfer from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron The detailed molecular mechanisms of MIC are still unclear, but electron transfer transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine- from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine- Appl. Biosci. 2022, 1 225 The detailed molecular mechanisms of MIC are still unclear, but electron transfer from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine-modifying enzyme, methyl transferase, and flavin-containing monooxygenase, which are encoded by phzH, phzM, and phzS genes. Those mediators activate the extracellular electron transfer pathway [26,27]. In the genome of Methanococcus maripaludis OS7, the genes that encode the small and large subunits of a [NiFe] hydrogenase (MMOS7_11590 and MMOS7_11600), the membrane proteins for secretion of the [NiFe] hydrogenase (MMOS7_11620 and MMOS7_11630), and a hydrogenase maturation protease (MMOS7_11610) are clustered [28]. Although M. maripaludis OS7 promotes MIC of iron, a deletion mutant strain lacking the gene cluster does not corrode iron. In Alkanindiges bacteria, the genome has been sequenced T T for two species, including A. hydrocarboniclasticus H1 and A. illinoisensis DSM 15370 . In those genome sequences, with the exception of MMOS7_11620 and MMOS7_11630, genes related to MIC are not present. This suggests that Alkanindiges bacteria do not cause MIC but act in the formation of biofilms before MIC occurrence. In the KEGG PATHWAY Database [29], the biofilm formation pathway is registered for three species of Gammaproteobacteria, including Escherichia coli, P. aeruginosa, and Vibrio cholerae. To investigate the biofilm-forming capacity of Alkanindiges bacteria, the T T biofilm formation pathways of A. hydrocarboniclasticus H1 and A. illinoisensis DSM 15370 were compared using that of P. aeruginosa, which is the closest of the three species of Gammaproteobacteria to Alkanindiges bacteria (Figure 4). In P. aeruginosa, cAMP/Vfr signaling, Quorum sensing, and Gac/Rsm and c-di-GMP signaling pathways have been identified, and those pathways except the Quorum sensing pathway seem to be conserved in both strains. In particular, the function of c-di-GMP signaling pathway is enhanced by Psl, which is a neutral exopolysaccharide typically comprising D-glucose, D-mannose, and L-rhamnose. This exopolysaccharide is a crucial adhesive component of the biofilm matrix that promotes both cell-to-cell interactions and cell-to-metal surface attachment [30]. Thus, Alkanindiges bacteria may adhere to a metal surface by the function of the c-di-GMP signaling pathway, resulting in the formation of a biofilm. In addition, the development of biofilms can migrate to bacterial communities composed of MIC-causing bacteria and eventually cause MIC on the surface of metal joints. Pseudomonas species have been isolated and identified from various sources, such as soil, fresh water, and metal surfaces, and several species are suggested to be MIC-causing strains because those species can obtain energy by transferring electrons to extracellular solid substances [31]. In fact, we also observed Pseudomonas sp. 1, which shows high identity with the MIC-causing strain P. koreensis Ps 9-14 [32]. Thus, the relative abundance of Pseudomonas sp. 1 in the biofilm may increase as time proceeds, which then encourages MIC on the surface of the metal joint. Appl. Biosci. 2022, 1 226 Appl. Biosci. 2022, 1, FOR PEER REVIEW 6 Pathway/Gene/Product 1 2 cAMP/Vfr signaling pathway pilJ/twitching motility protein PilJ pilI/ twitching motility protein PilI chpA/chemosensory pili system protein ChpA chpC/chemosensory pili system protein ChpC pilH/ twitching motility two-component system response regulator PilH pilG/ twitching motility two-component system response regulator PilG cyaB/adenylate cyclase cpdA/3′,5′-cyclic-AMP phosphodiesterase crp/cyclic AMP receptor protein flrA, fleQ, flaK/sigma-54 dependent transcriptional regulator exsA/exoenzyme S synthesis regulatory protein ExsA Quorum sensing pathway trpE/anthranilate synthase component I trpG/anthranilate synthase component II pqsC/2-heptyl-4(1H)-quinolone synthase subunit PqsC pqsD/anthraniloyl-CoA anthraniloyltransferase pqsE/2-aminobenzoylacetyl-CoA thioesterase pqsH/2-heptyl-3-hydroxy-4(1H)-quinolone synthase mvfR, pqsR/LysR family transcriptional regulator, quorum-sensing system regulator MvfR rhlI, phzI, solI, cepI, tofI, lasI/acyl homoserine lactone synthase rhlR, phzR/LysR family transcriptional regulator, quorum-sensing system regulator MvfR rhlA/rhamnosyltransferase subunit A rhlB/rhamnosyltransferase subunit B rfbF, rhlC/rhamnosyltransferase lecA/PA-I galactophilic lectin lecB/PA-IIL fucose-binding lectin lasR/quorum-sensing system regulator LasR sagS/sensor histidine kinase SagS pa1611/sensor histidine kinase pa1976/sensor histidine kinase hptB/histidine phosphotransfer protein HptB hsbR/HptB-dependent secretion and biofilm response regulator hsbA/HptB-dependent secretion and biofilm anti anti-sigma factor flgM/negative regulator of flagellin synthesis FlgM fliA, whiG/RNA polymerase sigma factor FliA Gac/Rsm pathway ladS/sensor histidine kinase LadS barA, gacS, varS/sensor histidine kinase BarA retS/sensor histidine kinase RetS uvrY, gacA, varA/two-component system, NarL family, invasion response regulator UvrY rsmY/small regulatory RNA RsmY rsmZ/small regulatory RNA RsmZ csrA/ carbon storage regulator ppkA/serine/threonine-protein kinase PpkA c-di-GMP signaling pathway wspA/methyl-accepting chemotaxis protein WspA wspB/chemotaxis-related protein WspB wspE/sensor histidine kinase and response regulator WspE wspF/response regulator WspF wspR/response regulator WspR sadCD, tpbB, roeA, mucR/diguanylate cyclase bifA/c-di-GMP phosphodiesterase pslA/polysaccharide biosynthesis protein PslA pelB/polysaccharide biosynthesis protein PelB pelC/polysaccharide biosynthesis protein PelC pelD/polysaccharide biosynthesis protein PelD pelE/polysaccharide biosynthesis protein PelE pelF/polysaccharide biosynthesis protein PelF pelG/polysaccharide biosynthesis protein PelG alg44/mannuronan synthase fimX/multidomain signaling protein FimX fimW/cyclic-di-GMP-binding protein Figure 4. Presence/absence matrix of biofilm formation pathway genes in A. hydrocarboniclasticus Figure 4. Presence/absence matrix of biofilm formation pathway genes in A. hydrocarboniclasticus T T T H1 T and A. illinoisensis DSM 15370 T . Strains: 1, A. hydrocarboniclasticus H1 T ; 2, A. illinoisensis DSM H1 and A. illinoisensis DSM 15370 . Strains: 1, A. hydrocarboniclasticus H1 ; 2, A. illinoisensis DSM 15370 . Green, orange, and gray squares indicate cases where the genes are conserved, similar genes 15370 . Green, orange, and gray squares indicate cases where the genes are conserved, similar genes are conserved, and genes are not conserved, respectively. are conserved, and genes are not conserved, respectively. Appl. Biosci. 2022, 1 227 4. Conclusions Bacterial community analyses of metal corrosion-free biofilms have rarely been re- ported, though analyses within different environments are required to understand the mechanism of MIC. Unlike previous studies on MIC, Alkanindiges bacteria were observed as the dominant species in this study. Moreover, the gene clusters required to cause metal corrosion were not conserved in the genome sequences of known Alkanindiges bacteria. Those findings indicated that the bacterial community changes significantly during the process from development of biofilm to occurrence of metal corrosion. For more detailed investigations, it will be necessary to analyze changes in the bacterial community over time. Author Contributions: Conceptualization, H.A.; methodology, H.A. and Y.S.; validation, H.A. and Y.S.; formal analysis, H.A. and Y.S.; investigation, H.A. and Y.S.; resources, H.A.; data curation, H.A. and Y.S.; writing—original draft preparation, H.A.; writing—review and editing, H.A., Y.S., and Z.-i.K.; visualization, H.A.; supervision, H.A. and Z.-i.K.; project administration, H.A.; fund- ing acquisition, H.A. and Z.-i.K. All authors have read and agreed to the published version of the manuscript. Funding: This work was supported by a grant from The Salt Science Research Foundation (No. 2101). Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The 16S rRNA gene sequences of A. hongkongensis HKU9 , A. hydro- T T T T carboniclasticus H1 , A. illinoisensis MVAB Hex1 , C. vibrioides DSM 9893 , E. coli JCM 1649 , M. T T T T lacunata ATCC 17967 , P. aeruginosa DSM 50071 , P. koreensis 9-14 , S. jeddahensis G39 , S. pauci- T T mobilis DSM 1098 , and S. spiritivorum JCM 1733 are available in the GenBank/EMBL/DDBJ databases under accession numbers NR_114676, LT827059, NR_025254, NR_037099, NR_024570, NR_036825, AF094713, NR_025228, NR_158139, LN681566, and LC060921, respectively. 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Bacterial Community Analysis of Biofilm Formed on Metal Joint

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Communication 1 2 2 , Hironaga Akita , Yoshiki Shinto and Zen-ichiro Kimura * Research Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), 3-11-32 Kagamiyama, Higashi-Hiroshima 739-0046, Japan Department of Civil and Environmental Engineering, National Institute of Technology, Kure College, 2-2-11 Aga-Minami, Kure 737-8506, Japan * Correspondence: z-kimura@kure-nct.ac.jp; Tel.: +81-(0)-823-73-8486 Abstract: Microbiologically influenced corrosion (MIC) is caused by biofilms formed on metal surfaces, and MIC of metal alloys on marine infrastructure leads to severe accidents and great economic losses. Although bacterial community analyses of the biofilms collected from corroded metal have been studied, the analyses of biofilms collected from uncorroded metal are rarely reported. In this study, a biofilm formed on an uncorroded metal joint attached to a metal dock mooring at Akitsu Port was used as a model for bacterial community analysis. The bacterial community was analyzed by high-throughput sequencing of the V3–V4 variable regions of the 16S rRNA gene. Bacterial species contained in the biofilms were identified at the genus level, and Alkanindiges bacteria were the dominant species, which have been not reported as the dominant species in previous research on MIC. The genome sequences of known Alkanindiges bacteria do not have conserved gene clusters required to cause metal corrosion, which suggests that Alkanindiges bacteria do not corrode metals but act on the formation of biofilms. Those findings indicated that the bacterial community may change significantly during the process from biofilm formation to the occurrence of metal corrosion. Keywords: 16S rRNA gene; bacterial community analysis; microbiologically influenced corrosion; biofilm; Alkanindiges Citation: Akita, H.; Shinto, Y.; Kimura, Z.-i. Bacterial Community Analysis of Biofilm Formed on Metal Joint. Appl. Biosci. 2022, 1, 221–228. https://doi.org/10.3390/ 1. Introduction applbiosci1020014 Metal alloys are widely used as raw materials for the construction of vessels, bridges, and factories using established molding technology to create products intended for long- Academic Editor: Robert Henry term use in marine environments. In marine environments, biofilms are formed when Received: 30 June 2022 microorganisms adhere to metal surfaces. Biofilms are complexes of microorganisms with Accepted: 2 September 2022 a three-dimensional structure, which is enclosed in an extracellular polymeric substance Published: 6 September 2022 (EPS) matrix [1]. Inside the biofilm, extracellular matrix proteins and exogenous genes are Publisher’s Note: MDPI stays neutral transported through the EPS matrix, which encourages microbial growth [1]. Moreover, a with regard to jurisdictional claims in well-developed biofilm tightly adheres to metal surfaces by extracellular polysaccharides published maps and institutional affil- of the EPS matrix, which is difficult to remove completely. The microorganisms inside the iations. biofilm are protected from stresses caused by environmental changes and chemical sub- stances. As such, a favorable environment for microbial growth is formed inside the biofilm, and the microbial community develops to a high density over time. In biofilms formed on metal surfaces, microbiologically influenced corrosion (MIC) is caused by various microbial Copyright: © 2022 by the authors. factors, such as metal oxidation by electron transfer from the metal surface to bacteria [2] Licensee MDPI, Basel, Switzerland. and accumulation of corrosive metabolites [3]. MIC causes serious problems for metal This article is an open access article infrastructure in the marine environment, and economic losses from MIC were estimated to distributed under the terms and be $2.5 trillion in 2013, which is equivalent to about 3.4% of gross world product [4]. MIC conditions of the Creative Commons assessments in the marine environment have been reported for carbon steel [5], stainless Attribution (CC BY) license (https:// steel [6], and low-alloy steel [7]. In those reports, Bacillus, Desulfovibrio, and Desulfobacter creativecommons.org/licenses/by/ have been detected as the dominant bacteria, and the developmental mechanisms of those 4.0/). Appl. Biosci. 2022, 1, 221–228. https://doi.org/10.3390/applbiosci1020014 https://www.mdpi.com/journal/applbiosci Appl. Biosci. 2022, 1, FOR PEER REVIEW 2 carbon steel [5], stainless steel [6], and low-alloy steel [7]. In those reports, Bacillus, Desul- fovibrio, and Desulfobacter have been detected as the dominant bacteria, and the develop- mental mechanisms of those bacteria are discussed. By contrast, bacterial community Appl. Biosci. 2022, 1 222 analyses of biofilms collected from uncorroded metal have rarely been reported, and our understanding of the community structure is limited. Thus, changes in bacterial commu- nity from development of biofilm to occurrence of metal corrosion have not been eluci- bacteria are discussed. By contrast, bacterial community analyses of biofilms collected from dated in detail. We consider that microbial community analyses of biofilms collected from uncorroded metal have rarely been reported, and our understanding of the community uncorroded metal in the marine environment are important to understand the mechanism structure is limited. Thus, changes in bacterial community from development of biofilm of MIC, and elucidation of the mechanism may lead to the establishment of measures to to occurrence of metal corrosion have not been elucidated in detail. We consider that prevent the occurrence of metal corrosion [8]. microbial community analyses of biofilms collected from uncorroded metal in the marine High-throughput amplicon sequencing is a powerful method for the identification of environment are important to understand the mechanism of MIC, and elucidation of the target genes in large amounts of unexamined genetic material from the environmental mechanism may lead to the establishment of measures to prevent the occurrence of metal corr microbiome osion [8]. [9]. In this method, microbial DNA is extracted from the environmental sam- High-throughput amplicon sequencing is a powerful method for the identification ple, and target genes are then amplified by polymerase chain reaction (PCR) using the of target genes in large amounts of unexamined genetic material from the environmen- extracted DNA as a template and primers designed to bind to the template. Subsequently, tal microbiome [9]. In this method, microbial DNA is extracted from the environmental the amplified regions (amplicons) are sequenced by a next-generation sequencer. Since sample, and target genes are then amplified by polymerase chain reaction (PCR) using the hundreds to thousands of different amplicons can be sequenced together by a next-gen- extracted DNA as a template and primers designed to bind to the template. Subsequently, eration sequencer, this method can efficiently identify target genes. In bacterial genomic the amplified regions (amplicons) are sequenced by a next-generation sequencer. Since hun- DNA, several housekeeping genes are conserved to ensure cell maintenance and growth. dreds to thousands of different amplicons can be sequenced together by a next-generation In particular, the 16S rRNA gene encodes the 30S ribosomal subunit that is essential for sequencer, this method can efficiently identify target genes. In bacterial genomic DNA, several the transl housekeeping ation of mR genes NA aar nd p e conserved rotein synthesis, but it has to ensure cell maintenance genus-sp and ecif gr ic va owth. riable In regions, particular, the 16S rRNA gene encodes the 30S ribosomal subunit that is essential for the such as V1–V9 [10]. Almost all bacterial taxa can theoretically be identified based on the translation of mRNA and protein synthesis, but it has genus-specific variable regions, 16S rRNA gene sequence. Thus, bacterial community analysis based on high-throughput such as V1–V9 [10]. Almost all bacterial taxa can theoretically be identified based on the sequencing of 16S rRNA gene fragments can characterize the bacterial microbiome [10]. 16S rRNA gene sequence. Thus, bacterial community analysis based on high-throughput In this study, to investigate the bacterial community that contributes to MIC, a bio- sequencing of 16S rRNA gene fragments can characterize the bacterial microbiome [10]. film formed on an uncorroded metal joint attached to a metal dock mooring was used as In this study, to investigate the bacterial community that contributes to MIC, a biofilm a model. Using bacterial genomic DNA prepared from the biofilm, the variable region V3– formed on an uncorroded metal joint attached to a metal dock mooring was used as a V4 of the 16S rRNA gene was amplified by PCR, and high-throughput amplicon sequenc- model. Using bacterial genomic DNA prepared from the biofilm, the variable region V3–V4 of in the g wa 16S s ca rRNA rried out gene was . The ba amplified cteriaby l commu PCR, and nity high-thr was identified oughput amplicon at the gen sequenc us leve ing l based on was carried out. The bacterial community was identified at the genus level based on the the operation taxonomic units (OTUs). operation taxonomic units (OTUs). 2. Materials and Methods 2. Materials and Methods 2.1. Sampling 2.1. Sampling A biofilm that formed on an uncorroded metal joint attached to a metal dock mooring A biofilm that formed on an uncorroded metal joint attached to a metal dock mooring was collected in Akitsu Port in Hiroshima prefecture, Japan (Figure 1). After collection, was collected in Akitsu Port in Hiroshima prefecture, Japan (Figure 1). After collection, the samples were put into sterile tubes and immediately placed in a cool box at 4 C, then the samples were put into sterile tubes and immediately placed in a cool box at 4 °C, then transported to the lab within a few hours. transported to the lab within a few hours. Sampling point Figure 1. Image of the sampling point. The sampling point for the collection of the biofilm is indi- Figure 1. Image of the sampling point. The sampling point for the collection of the biofilm is indicated cated by a black arrow. by a black arrow. Appl. Biosci. 2022, 1 223 2.2. Genomic DNA Extraction and PCR Conditions Genomic DNA was extracted from the biofilm using an illustra™ bacteria genomicPrep Mini Spin Kit (GE Healthcare, Chicago, IL, USA) according to the manufacturer ’s in- structions, and the concentration and purity were measured using a NanoDrop ND-1000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Using the genomic DNA as a template, the V3–V4 variable regions of the 16S rRNA genes were amplified by KOD -Plus- (TOYOBO, Osaka, Japan) using bacterial domain-specific primers 341F (5 - TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGCCTACGGGNGGCWGCAG-3 ) [11] and 805R (5 -GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGACTACHVGGGTAT CTAATCC-3 ) [12]. For amplification of the 16S rRNA genes, samples were subjected to initial denaturation at 94 C for 2 min, followed by 35 cycles of denaturation at 98 C for 10 s, annealing at 55 C for 30 s, and extension at 68 C for 30 s, and the final extension at 68 C for 5 min. 2.3. Sequencing Library Preparation, Sequencing, and Bioinformatics Analysis The length of the PCR products was confirmed using 1.0% agarose gel electrophoresis, and the samples (approximately 450 bp) were then purified using a Wizard SV Gel and PCR Clean-up System (Promega, Madison, WI, USA). The microbiome sequence libraries were prepared using a Nextera XT DNA Library Preparation Kit (Illumina, San Diego, CA, USA) according to the manufacturer ’s instruc- tions. The concentrations of the sequence libraries were measured using a Quanti Fluor™ dsDNASystem (Promega). The libraries were sequenced using a MiSeq sequencer (Illumina) with a MiSeq Reagent Kit v3 (Illumina). The bacterial community was analyzed using the QIIME 2 microbiome bioinformatics platform [13]. After the quality of the sequence data was confirmed using a FastQC ver.0.11.9 [14], the amplicon sequence variants (ASVs) were prepared based on the filtered data using the DADA2 algorithm [15]. The ASVs were grouped into OTUs at 99% sequence identity using the taxonomic databases of Sliva ver. 138 [16,17]. To construct a phylogenetic tree based on the variable regions of 16S rRNA gene sequences, the OTU dataset was also subjected to phylogenetic analysis with MEGA 11 software [18]. The consensus bootstrap phylogenetic tree was constructed using the neighbor-joining method. 3. Results and Discussion Among the OTUs, a total of 18 genera of bacteria were observed, and the proportion of unclassified bacteria was less than 0.1% (Figure 2). Alkanindiges bacteria were observed as the dominant species, and their relative abundance was more than 95%. Apart from Alkanindiges, several bacteria such as Sphingomonas and Pseudomonas were also observed as OTUs, but the relative abundances of those bacteria were less than 3%. To confirm the phylogenetic relationship of the bacteria comprising more than 1% of the OTUs, a neighbor- joining tree based on the V3–V4 variable regions of the 16S rRNA gene was constructed. In the neighbor-joining tree, nine kinds of Alkanindiges bacteria formed a cluster with T T T A. hongkongensis HKU9 , A. illinoisensis MVAB Hex1 , and A. hydrocarboniclasticus H1 (Figure 3). Alkanindiges bacteria belong to a class of Gammaproteobacteria and can grow using several kinds of hydrocarbons degraded from petroleum [19], so Alkanindiges bacteria are a major contributor to the bioremediation of petroleum-contaminated soil [20–22]. To our knowledge, there is a report of Gammaproteobacteria being observed as more than 90% of OTUs in a biofilm collected from a metal surface [6], but there are no reports of Alkanindiges bacteria accounting for more than 90% of the total. Lichen is a complex organism of algae, fungi, and bacteria that grows on a wide range of substrates, from natural surfaces to artificial materials such as metal, glass, rubber, and plastic [23]. For example, Stereocaulon japonicum and Cladonia humilis grow in Cu- polluted sites around Cu-roofed temple buildings by their Cu-accumulation capacity [24]. Fernández-Brime et al. reported the bacterial communities associated with a lichen symbio- sis, and more than 20 orders of bacteria were observed in several lichenized samples [25]. Appl. Biosci. 2022, 1, FOR PEER REVIEW 4 Appl. Biosci. 2022, 1 224 Appl. Biosci. 2022, 1, FOR PEER REVIEW 4 and more than 20 orders of bacteria were observed in several lichenized samples [25]. Moreover, 11 genera of bacteria observed in this study, such as Alkanindiges, Sphingomonas, Moreover, 11 genera of bacteria observed in this study, such as Alkanindiges, Sphingomonas, Pseudomonas, Roseateles, Allorhizobium/Neorhizobium/Pararhizobium/Rhizobium, Brevundimo- Pseudomonas and more th , an 20 orde Roseateles, Allor rs ofhizobium bacteria we /Neor re hizobium observed /Parar in sever hizobium al lich /Rhizobium enized samples [25]. , Brevundi- nas, Reyranella, Massilia, Pantoea, Mucilaginibacter, Asinibacterium, Roseomonas, Hymenobac- monas Moreover, 11 genera , Reyranella, Massilia of b, aPantoea cteria obse , Mucilaginibacter rved in this study , Asinibacterium , such as Al,kani Roseomonas ndiges, Sphingomonas , Hymenobac-, ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime Pseudomonas, Roseateles, Allorhizobium/Neorhizobium/Pararhizobium/Rhizobium, Brevundimo- et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to nas, Reyranella, Massilia, Pantoea, Mucilaginibacter, Asinibacterium, Roseomonas, Hymenobac- metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- ter, Paracoccus, and Bradyrhizobium were also observed in the report by Fernández-Brime rence of metal corrosion, it is necessary to consider bacterial community analysis includ- rence of metal corrosion, it is necessary to consider bacterial community analysis including et al. [25]. Thus, the occurrence of metal corrosion may be induced by bacteria adhered to lichen in the future. ing lichen in the future. metal surfaces via lichen. To improve the accuracy of the measures to prevent the occur- rence of metal corrosion, it is necessary to consider bacterial community analysis includ- ing lichen in the future. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Figure 2. Relative abundances of the bacterial community in the biofilm at the genus level. Alkanindiges sp. A 5 lkanindiges sp. 5 66 66 Alkanindiges sp. 7 Alkanindiges sp. 7 Alkanindiges sp. 1 42 Alkanindiges sp. 1 Alkanindiges sp. 3 Alkanindiges sp. 3 Alkanindi57 ges sp. 4 Alkanindiges sp. 4 Alkanindiges sp. 2 Alkanindiges sp. 2 Alkanindiges sp. 9 96 Alkanindiges sp. 9 Alkanindiges sp. 8 Alkanindiges sp. 8 99 Alkanindiges sp. 6 99 Alkanindiges sp. 6 Alkanindiges hongkongensis HKU9 58 Alkanindiges hongkongensis HKU9 Alkanindiges illinoisensis MVAB Hex1 58 T Alkanindiges T illinoisensis MVAB Hex1 Alkanindiges hydrocarboniclasticus H1 T T Escherichi A a col lkani i JC ndi M ges 1649 hydrocarboniclasticus H1 Moraxella lacunata ATCC 17967 T Escherichia coli JCM1649 Pseudomonas aeruginosa DSM 50071 Moraxella lacunata ATCC 17967 30 Pseudomonas sp. 1 99 T Pseudomonas aeruginosa DSM 50071 91 Pseudomonas koreensis 9-14 Pseudomonas sp. 1 Caulobacter vibrioides DSM 9893 Pseudomonas koreensis 9-14 Sphingomonas paucimobilis DSM 1098 98 T Caulobacter vibrioides DSM 9893 Sphingomonas sp. 1 27 99 Sphingomonas paucimobilis DSM 1098 Sphingomonas jeddahensis G39 Sphingomonas sp. 1 T 99 Sphingobacterium spiritivorum JCM 1733 Sphingomonas jeddahensis G39 0.05 Sphingobacterium spiritivor um JCM 1733 Figure 3. Consensus 0.05 bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S Figure 3. Consensus bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the Figure 3. Consensus bootstrap phylogenetic tree of OTUs comprising more than 1% of the total 16S nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis rRNA gene sequences. Each OTU is denoted by its representative strain type. The numbers at the T of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as the nodes are percentages indicating the levels of bootstrap support based on neighbor-joining analysis the outgroup. The bar indicates a 0.05% nucleotide substitution rate. outgroup. The bar indicates a 0.05% nucleotide substitution rate. of 1000 resampled datasets. The tree was rooted using Sphingobacterium spiritivorum JCM 1733 as the outgroup. The bar indicat The detailed molecular m es a echani 0.05% sms nucleotide of MIC subst are still unc itution rate. lear, but electron transfer from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron The detailed molecular mechanisms of MIC are still unclear, but electron transfer transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine- from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine- Appl. Biosci. 2022, 1 225 The detailed molecular mechanisms of MIC are still unclear, but electron transfer from the metal surface to MIC-causing bacteria has been demonstrated in a few reports. For example, Pseudomonas aeruginosa MCCC 1A00099 produces water-soluble electron transfer mediators, such as phenazine-1-carboxamide and pyocyanin, by phenazine-modifying enzyme, methyl transferase, and flavin-containing monooxygenase, which are encoded by phzH, phzM, and phzS genes. Those mediators activate the extracellular electron transfer pathway [26,27]. In the genome of Methanococcus maripaludis OS7, the genes that encode the small and large subunits of a [NiFe] hydrogenase (MMOS7_11590 and MMOS7_11600), the membrane proteins for secretion of the [NiFe] hydrogenase (MMOS7_11620 and MMOS7_11630), and a hydrogenase maturation protease (MMOS7_11610) are clustered [28]. Although M. maripaludis OS7 promotes MIC of iron, a deletion mutant strain lacking the gene cluster does not corrode iron. In Alkanindiges bacteria, the genome has been sequenced T T for two species, including A. hydrocarboniclasticus H1 and A. illinoisensis DSM 15370 . In those genome sequences, with the exception of MMOS7_11620 and MMOS7_11630, genes related to MIC are not present. This suggests that Alkanindiges bacteria do not cause MIC but act in the formation of biofilms before MIC occurrence. In the KEGG PATHWAY Database [29], the biofilm formation pathway is registered for three species of Gammaproteobacteria, including Escherichia coli, P. aeruginosa, and Vibrio cholerae. To investigate the biofilm-forming capacity of Alkanindiges bacteria, the T T biofilm formation pathways of A. hydrocarboniclasticus H1 and A. illinoisensis DSM 15370 were compared using that of P. aeruginosa, which is the closest of the three species of Gammaproteobacteria to Alkanindiges bacteria (Figure 4). In P. aeruginosa, cAMP/Vfr signaling, Quorum sensing, and Gac/Rsm and c-di-GMP signaling pathways have been identified, and those pathways except the Quorum sensing pathway seem to be conserved in both strains. In particular, the function of c-di-GMP signaling pathway is enhanced by Psl, which is a neutral exopolysaccharide typically comprising D-glucose, D-mannose, and L-rhamnose. This exopolysaccharide is a crucial adhesive component of the biofilm matrix that promotes both cell-to-cell interactions and cell-to-metal surface attachment [30]. Thus, Alkanindiges bacteria may adhere to a metal surface by the function of the c-di-GMP signaling pathway, resulting in the formation of a biofilm. In addition, the development of biofilms can migrate to bacterial communities composed of MIC-causing bacteria and eventually cause MIC on the surface of metal joints. Pseudomonas species have been isolated and identified from various sources, such as soil, fresh water, and metal surfaces, and several species are suggested to be MIC-causing strains because those species can obtain energy by transferring electrons to extracellular solid substances [31]. In fact, we also observed Pseudomonas sp. 1, which shows high identity with the MIC-causing strain P. koreensis Ps 9-14 [32]. Thus, the relative abundance of Pseudomonas sp. 1 in the biofilm may increase as time proceeds, which then encourages MIC on the surface of the metal joint. Appl. Biosci. 2022, 1 226 Appl. Biosci. 2022, 1, FOR PEER REVIEW 6 Pathway/Gene/Product 1 2 cAMP/Vfr signaling pathway pilJ/twitching motility protein PilJ pilI/ twitching motility protein PilI chpA/chemosensory pili system protein ChpA chpC/chemosensory pili system protein ChpC pilH/ twitching motility two-component system response regulator PilH pilG/ twitching motility two-component system response regulator PilG cyaB/adenylate cyclase cpdA/3′,5′-cyclic-AMP phosphodiesterase crp/cyclic AMP receptor protein flrA, fleQ, flaK/sigma-54 dependent transcriptional regulator exsA/exoenzyme S synthesis regulatory protein ExsA Quorum sensing pathway trpE/anthranilate synthase component I trpG/anthranilate synthase component II pqsC/2-heptyl-4(1H)-quinolone synthase subunit PqsC pqsD/anthraniloyl-CoA anthraniloyltransferase pqsE/2-aminobenzoylacetyl-CoA thioesterase pqsH/2-heptyl-3-hydroxy-4(1H)-quinolone synthase mvfR, pqsR/LysR family transcriptional regulator, quorum-sensing system regulator MvfR rhlI, phzI, solI, cepI, tofI, lasI/acyl homoserine lactone synthase rhlR, phzR/LysR family transcriptional regulator, quorum-sensing system regulator MvfR rhlA/rhamnosyltransferase subunit A rhlB/rhamnosyltransferase subunit B rfbF, rhlC/rhamnosyltransferase lecA/PA-I galactophilic lectin lecB/PA-IIL fucose-binding lectin lasR/quorum-sensing system regulator LasR sagS/sensor histidine kinase SagS pa1611/sensor histidine kinase pa1976/sensor histidine kinase hptB/histidine phosphotransfer protein HptB hsbR/HptB-dependent secretion and biofilm response regulator hsbA/HptB-dependent secretion and biofilm anti anti-sigma factor flgM/negative regulator of flagellin synthesis FlgM fliA, whiG/RNA polymerase sigma factor FliA Gac/Rsm pathway ladS/sensor histidine kinase LadS barA, gacS, varS/sensor histidine kinase BarA retS/sensor histidine kinase RetS uvrY, gacA, varA/two-component system, NarL family, invasion response regulator UvrY rsmY/small regulatory RNA RsmY rsmZ/small regulatory RNA RsmZ csrA/ carbon storage regulator ppkA/serine/threonine-protein kinase PpkA c-di-GMP signaling pathway wspA/methyl-accepting chemotaxis protein WspA wspB/chemotaxis-related protein WspB wspE/sensor histidine kinase and response regulator WspE wspF/response regulator WspF wspR/response regulator WspR sadCD, tpbB, roeA, mucR/diguanylate cyclase bifA/c-di-GMP phosphodiesterase pslA/polysaccharide biosynthesis protein PslA pelB/polysaccharide biosynthesis protein PelB pelC/polysaccharide biosynthesis protein PelC pelD/polysaccharide biosynthesis protein PelD pelE/polysaccharide biosynthesis protein PelE pelF/polysaccharide biosynthesis protein PelF pelG/polysaccharide biosynthesis protein PelG alg44/mannuronan synthase fimX/multidomain signaling protein FimX fimW/cyclic-di-GMP-binding protein Figure 4. Presence/absence matrix of biofilm formation pathway genes in A. hydrocarboniclasticus Figure 4. Presence/absence matrix of biofilm formation pathway genes in A. hydrocarboniclasticus T T T H1 T and A. illinoisensis DSM 15370 T . Strains: 1, A. hydrocarboniclasticus H1 T ; 2, A. illinoisensis DSM H1 and A. illinoisensis DSM 15370 . Strains: 1, A. hydrocarboniclasticus H1 ; 2, A. illinoisensis DSM 15370 . Green, orange, and gray squares indicate cases where the genes are conserved, similar genes 15370 . Green, orange, and gray squares indicate cases where the genes are conserved, similar genes are conserved, and genes are not conserved, respectively. are conserved, and genes are not conserved, respectively. Appl. Biosci. 2022, 1 227 4. Conclusions Bacterial community analyses of metal corrosion-free biofilms have rarely been re- ported, though analyses within different environments are required to understand the mechanism of MIC. Unlike previous studies on MIC, Alkanindiges bacteria were observed as the dominant species in this study. Moreover, the gene clusters required to cause metal corrosion were not conserved in the genome sequences of known Alkanindiges bacteria. Those findings indicated that the bacterial community changes significantly during the process from development of biofilm to occurrence of metal corrosion. For more detailed investigations, it will be necessary to analyze changes in the bacterial community over time. Author Contributions: Conceptualization, H.A.; methodology, H.A. and Y.S.; validation, H.A. and Y.S.; formal analysis, H.A. and Y.S.; investigation, H.A. and Y.S.; resources, H.A.; data curation, H.A. and Y.S.; writing—original draft preparation, H.A.; writing—review and editing, H.A., Y.S., and Z.-i.K.; visualization, H.A.; supervision, H.A. and Z.-i.K.; project administration, H.A.; fund- ing acquisition, H.A. and Z.-i.K. All authors have read and agreed to the published version of the manuscript. Funding: This work was supported by a grant from The Salt Science Research Foundation (No. 2101). Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The 16S rRNA gene sequences of A. hongkongensis HKU9 , A. hydro- T T T T carboniclasticus H1 , A. illinoisensis MVAB Hex1 , C. vibrioides DSM 9893 , E. coli JCM 1649 , M. T T T T lacunata ATCC 17967 , P. aeruginosa DSM 50071 , P. koreensis 9-14 , S. jeddahensis G39 , S. pauci- T T mobilis DSM 1098 , and S. spiritivorum JCM 1733 are available in the GenBank/EMBL/DDBJ databases under accession numbers NR_114676, LT827059, NR_025254, NR_037099, NR_024570, NR_036825, AF094713, NR_025228, NR_158139, LN681566, and LC060921, respectively. 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Journal

Applied Biosciences – Multidisciplinary Digital Publishing Institute

Published: Sep 6, 2022

Keywords: 16S rRNA gene; bacterial community analysis; microbiologically influenced corrosion; biofilm; Alkanindiges

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