Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 25 September 2019
Sec. Terrestrial Microbiology

Geomonas oryzae gen. nov., sp. nov., Geomonas edaphica sp. nov., Geomonas ferrireducens sp. nov., Geomonas terrae sp. nov., Four Ferric-Reducing Bacteria Isolated From Paddy Soil, and Reclassification of Three Species of the Genus Geobacter as Members of the Genus Geomonas gen. nov.

\r\nZhenxing XuZhenxing Xu1Yoko Masuda*Yoko Masuda1*Hideomi ItohHideomi Itoh2Natsumi UshijimaNatsumi Ushijima3Yutaka ShiratoriYutaka Shiratori4Keishi Senoo,Keishi Senoo1,5
  • 1Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
  • 2Bioproduction Research Institute, National Institute of Advanced Industrial Sciences and Technology, Hokkaido, Japan
  • 3Support Section for Education and Research, Graduate School of Dental Medicine, Hokkaido University, Hokkaido, Japan
  • 4Niigata Agricultural Research Institute, Niigata, Japan
  • 5Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, Tokyo, Japan

In paddy soil, bacteria from the family Geobacteraceae have been shown to strongly contribute to the biogeochemical cycle. However, no Geobacteraceae species with validly published names have been isolated from paddy soil. In this study, we isolated and characterized four novel ferric reducing bacteria in the family Geobacteraceae from the paddy soils of three different fields in Japan. The four strains, S43T, Red53T, S62T, and Red111T, were Gram-stain negative, strictly anaerobic, chemoheterotrophic, and motile with peritrichous flagella. Phylogenetic studies based on 16S rRNA gene sequences, five concatenated housekeeping genes (fusA, rpoB, recA, nifD, and gyrB) and 92 concatenated core genes revealed that the four strains belong to the family Geobacteraceae and are most closely related to Geobacter bemidjiensis BemT (97.4–98.2%, 16S rRNA gene sequence similarities) and Geobacter bremensis Dfr1T (97.1–98.0%). Genomic analysis with average nucleotide identity (ANI) and digital DNA–DNA hybridization (GGDC) calculations clearly distinguished the four isolated strains from other species of the family Geobacteraceae and indicated that strains S43T, Red53T, S62T, and Red111T represent independent species, with values below the thresholds for species delineation. Chemotaxonomic characteristics, including major fatty acid and whole cell protein profiles, showed differences among the isolates and their closest relatives, which were consistent with the results of DNA fingerprints and physiological characterization. Additionally, each of the four isolates shared a low 16S rRNA gene sequence similarity (92.4%) and average amino acid identity (AAI) with the type strain of the type species Geobacter metallireducens. Overall, strains S43T, Red53T, S62T, and Red111T represent four novel species, which we propose to classify in a novel genus of the family Geobacteraceae, and the names Geomonas oryzae gen. nov., sp. nov. (type strain S43T), Geomonas edaphica sp. nov. (type strain Red53T), Geomonas ferrireducens sp. nov. (type strain S62T), and Geomonas terrae sp. nov. (type strain Red111T) are proposed. Based on phylogenetic and genomic analyses, we also propose the reclassification of Geobacter bremensis as Geomonas bremensis comb. nov., Geobacter pelophilus as Geomonas pelophila comb. nov., and Geobacter bemidjiensis as Geomonas bemidjiensis comb. nov.

Introduction

The family Geobacteraceae, in the order Desulfuromonadales, class Deltaproteobacteria, was first proposed by Holmes et al. (2004) and currently contains a single genus with a validly published name: Geobacter (Garrity et al., 2005; Nevin et al., 2007). The type genus Geobacter was first proposed by Lovley et al. (1993) with a description of the type species, Geobacter metallireducens. At the time of writing, the family Geobacteraceae contained 19 species with validly published names1, which were isolated from different environmental sources, e.g., the type species Geobacter metallireducens GS-15T was isolated from surficial bottom sediment (Lovley et al., 1993), Geobacter daltonii FRC-32T from contaminated sediment (Prakash et al., 2010), Geobacter toluenoxydans TMJ1T from tar-oil-contaminated sludge (Kunapuli et al., 2010), and Geobacter sulfurreducens PCAT from wastewater biofilm (Caccavo et al., 1994). Besides these isolates, dozens of Geobacteraceae clone sequences have been reported from culture-independent analyses in various environments, such as contaminated sediments (Holmes et al., 2009), wastewater (Tejedor-Sanz et al., 2018), paddy soils (Hori et al., 2010; Li et al., 2014), and freshwater lake sediments (Cummings et al., 2003), indicating that the Geobacteraceae family is one of the ubiquitous microbial groups in terrestrial and freshwater ecosystems.

Members of the family Geobacteraceae were identified as Gram-stain negative, chemoheterotrophic, anaerobic, and capable of reducing Fe(III), Mn(IV), U(VI), elemental sulfur, and humic substances (Childers et al., 2002; Coppi et al., 2007; Prakash et al., 2010; Lovley et al., 2011). Some members were also reported to use other polluting metal ions as electron acceptors, such as Co(III), V(V), Cr(VI), Ag(I), Hg(II), Np(V), and Pu(IV), indicating that Geobacteraceae strains have important geochemical effects on natural environments (Lovley et al., 2011; Hernández-Eligio et al., 2018). Other features including extracellular electron transfer, dechlorinating activity, and indirectly contributing to methane production have been well-studied in Geobacteraceae (Lovley et al., 2011; Rotaru et al., 2014). Because of these versatile features, Geobacteraceae are important microbes in the biodegradation and bioremediation of environmental pollutants and bioenergy production (Shelobolina et al., 2008; Mouser et al., 2009).

Paddy soils, as the largest anthropogenic wetlands on Earth, represent a unique ecosystem that cycles between waterlogged and drained states during long-term paddy cultivation (Kögel-Knabner et al., 2010). Bacterial communities in paddy soils are therefore different from those occurring in other agricultural soils, particularly in terms of the abundance of facultative anaerobic or strictly anaerobic microbes. In our previous metatranscriptomic study of paddy soils in Japan, we found that most identified gene transcripts involved in reductive nitrogen transformation were derived from the order Deltaproteobacteria, specifically the genera Geobacter and Anaeromyxobacter (Masuda et al., 2017). Similar results were also described by Breidenbach et al. (2016), who noted that the genera Geobacter and Anaeromyxobacter, as potential iron reducers, are notably abundant in the rice rhizosphere environment. However, to date, a Geobacter species with a validly published name isolated from paddy soil has not been described. While screening for microorganisms driving nitrogen transformations in paddy soil, four red-colored Geobacteraceae strains named as S43T, Red53T, S62T, and Red111T were isolated from three different paddy fields. This study was performed to determine the exact taxonomic status of these four isolated strains by polyphasic characterization.

Materials and Methods

Sampling Sites, Enrichment and Isolation

The four microorganisms were isolated from paddy soils collected from different fields in Japan: strains S43T and S62T were isolated from field soil in Nagaoka-shi, Niigata in February 2018, strain Red53T from field soil in Mine-shi, Yamaguchi in March 2018, and strain Red111T from field soil in Kasumigaura-shi, Ibaraki in April 2018. In enrichment experiments for isolating strains S43T and S62T, 3 g of fresh paddy soil samples were added aseptically to 50 mL serum bottles containing 30 mL autoclaved modified freshwater medium (MFM) supplemented with 20 mM fumarate and 20 mM acetate as the electron acceptor and donor, respectively (Lovley et al., 1993). The MFM contained the following (in L–1): 2.0 g KHCO3, 0.02 g MgSO4⋅7H2O, 0.3 g KH2PO4, 1.0 g NH4Cl, 0.1 g MgCl2⋅6H2O, 0.08 g CaCl2⋅2H2O, 0.6 g NaCl, 9.52 g HEPES, 10.0 mL vitamin stock solution (in L–1, 2 mg biotin; 2 mg folic acid; 10 mg pyridoxine-HCl; 5 mg thiamine-HCl; 5 mg nicotinic acid; 5 mg aminobenzoic acid; 5 mg Ca-pantothenate; 0.01 mg vitamin B12; 5 mg lipoic acid), and 10.0 mL mineral stock solution (in L–1, 12.8 g nitrilotriacetic acid, 1.35 g FeCl3⋅6H2O, 0.1 g MnCl2⋅4H2O, 0.024 g CoCl2⋅6H2O, 0.1 g CaCl2⋅2H2O, 0.1 g ZnCl2, 0.025 g CuCl2⋅2H2O, 0.01 g H3BO3, 0.024 g Na2MoO4⋅2H2O, 1 g NaCl, 0.12 g NiCl2⋅6H2O, 4 mg Na2SeO3⋅5H2O, 4 mg Na2WO4, pH 6.5). For the isolation of strains Red53T and Red111T, such enrichment cultures were performed using soil slurry (air-dried paddy soil/distilled water, 1/1.5) supplemented with only vitamin stock solution, in place of MFM with fumarate and acetate as described above. After the bottle neck was sealed and the air was replaced with N2/CO2 (80:20, v/v), the enrichment culture bottles were incubated at 30°C without shaking until the soil color changed to gray. Next, under sterile and oxygen-free conditions, the enriched cultures were collected using syringes and serially diluted in oxygen-free water (10–1 to 10–4), and 100 μL samples of every serial dilution were spread onto R2A agar (Difco, United States) with 20 mM fumarate (modified R2A agar). The plates were then incubated in anaerobic jars equipped with AnaeroPacks (Mitsubishi Gas Chemical, Tokyo, Japan) and oxygen indicators (Mitsubishi Gas Chemical, Tokyo, Japan) at 30°C for 10 days. After repeating this process several times, dozens of red-colored colonies were picked up and purified by subculturing the cells on the same medium. All purified colonies were confirmed using special primers for the family Geobacteraceae (Geo564F, Geo840R) as described previously (Cummings et al., 2003). Positive colonies were then selected again with the full 16S rRNA gene sequences and DNA fingerprints, which are described below in the section “Phylogenetic and Genomic Analyses.” Finally, four different red-colored strains, named as S43T, S62T, Red53T, and Red111T, were isolated for further analysis. Unless mentioned otherwise, the isolates in this study were cultured on modified R2A agar or in degassed R2A broth (Wako, Japan) with 20 mM fumarate (modified R2A broth). The four strains were preserved at −80°C in modified R2A broth with 10% (v/v) dimethyl sulfoxide. Geobacter bemidjiensis DSM 16622T, obtained from the Leibniz-Institut Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ), was used as a reference strain in this study.

Phylogenetic and Genomic Analyses

For phylogenetic analysis, the almost complete 16S rRNA genes of the four strains were amplified using primers 27F and 1492R and sequenced using primers 27F, 926F, 519R, and 1492R as described by Ashida et al. (2010). The similarities of 16S rRNA genes between the four strains and their phylogenetic neighbors were determined using the identify service from the EzBioCloud Database2 (Yoon et al., 2017). The 16S rRNA gene sequences of related strains were downloaded from the NCBI database and aligned using the CLUSTAL W algorithm in MEGA version 7.0 (Kumar et al., 2016). Genetic distances and clustering were determined using Kimura 2-parameter model (Kimura, 1980), and phylogenetic trees were reconstructed by the neighbor-joining method (NJ). Trees were also reconstructed using the maximum-likelihood (ML) and maximum-parsimony (MP) methods to ensure the robustness of the conclusion. ML trees were reconstructed using the best-fit substitution model Kimura 2-parameter + G + I, while MP trees were reconstructed with the default Subtree-Pruning-Regrafting (SPR) method. Bootstrap values were evaluated based on 1000 replicates in the three methods. In order to elucidate the exact taxonomic positions of the four strains, a phylogenetic tree based on 92 concatenated core genes was also constructed using the UBCG pipeline3 as described previously with default parameters (Na et al., 2018). The sequences of 92 core genes were retrieved from the draft genome sequences as described in the next paragraph. In addition, previous studies revealed that five housekeeping genes (fusA, gyrB, nifD, recA, and rpoB) are especially useful for defining the phylogeny of the family Geobacteraceae (Holmes et al., 2004), so a MLSA of these five housekeeping genes was performed with the primers GYR48F/GYR1010R (gyrB, 930 bp in length), NIFDF2/NIFDR2 (nifD,768 bp in length), RPO175F/RPO800R (rpoB, 597 bp in length) and two modified primer pairs for recA (recF: 5′-TGATCGAGATCTTCGGACCGGA-3′; recR: 5′-TCCTTGCCGTAGGAGAACCA-3′, 672 bp in length) and fusA (fusF: 5′-CTNGACATCAAGATCTGCCC-3′; fusR: 5′-TTCGCCTCNACCTTGAACTC-3′, 642 bp in length). The deduced amino acid sequences of the five housekeeping genes were translated with standard codons using MEGA 7.0 software (Kumar et al., 2016). After the nucleotide sequences and amino acid sequences of the five housekeeping genes were aligned and concatenated in the order rpoBrecAnifDgyrBfusA, phylogenetic trees based on concatenated nucleic acid and amino acid sequences were then generated using the ML method with the best-fit substitution models.

Genomic DNA was extracted from 5-day-old cultures grown on modified R2A agar using the DNeasy Blood and Tissue Kit (Qiagen, Germany), according to the manufacturer’s instructions for Gram-negative bacteria. The draft genome sequences of the four analyzed strains (S43T, Red53T, S62T, and Red111T) were generated using the Illumina Hiseq 2500 platform with massively parallel sequencing (MPS) Illumina technology at the Beijing Novogene Bioinformatics Technology Co. Ltd. (Beijing, China). The cleaned data was then assembled using the SOAP de novo version 2.04 (Li et al., 2008) and GapCloser version 1.12. Genomic G + C content calculations and functional gene annotations were performed based on assembled contigs using RAST Server with ClassicRAST annotation scheme (Aziz et al., 2008). The whole genome sequences of the type or reference strains of the known Geobacter species were obtained from NCBI database. The genome similarities of the nucleotide sequences among the four novel strains and other type strains in the family Geobacteraceae were determined with the ANI and GGDC values. ANI values were obtained using JspeciesWS based on the recommended BLAST + alignment4 (Richter et al., 2016), while GGDC values from the Genome-to-Genome Distance Calculator 2.1 under recommended BLAST + alignment and Formula 25 (Meier-Kolthoff et al., 2013). In order to assess the genus affiliations, the AAI and the POCP were also used for amino acid-level comparisons for every pairwise combination of genomes. The AAI values were obtained by calculating the mean protein sequence similarity of all protein-coding genes shared between strains with an online-tool of Environmental Microbial Genomics Laboratory6 as described by Konstantinidis and Tiedje (2005). The POCP values were calculated using a Python script7 with the formula [(C1 + C2)/(T1 + T2)] × 100%, where C1 and C2 represent the conserved number of proteins in the two genomes being compared, respectively, and T1 and T2 represent the total number of proteins in the two genomes being compared, respectively (Qin et al., 2014).

In addition, a visual genomic comparison across strains S43T, Red53T, S62T, Red111T, and reference strain G. bemidjiensis DSM 16622T at the nucleotide level was generated using the BLAST Ring Image Generator (BRIG) with default parameters (Alikhan et al., 2011). The genome of strain S43T was used as the reference genome. For experimental genomic difference, genomic DNA fingerprints were carried out using the RAPD method (primer: AGCAGCGTGG) (Yu and Pauls, 1992) and rep-PCR with ERIC primers (ERIC1: 5′-ATGTAAGCT CCTGGGGATTCAC-3′; ERIC2: 5′-AAGTAAGTGACTGG GGTGAGCG-3′) and BOX primer (BoxA1R: 5′-CTA CGGCAAGGCGACGCTGACG-3′) (Versalovic et al., 1994; Ishii and Sadowsky, 2009).

Phenotypic Characterization

Cell morphology was examined by transmission electron microscopy (model JEM-1400, JEOL) at 80 kV, after the cultures were negatively stained with ammonium molybdate. Colony size, shape, and color were determined after 3 days of incubation at 30°C on modified R2A agar. The temperature and pH tests were performed in modified R2A broth at different temperatures (6, 10, 13, 16, 20, 25, 30, 33, 37, 40, and 42°C) and different pH (adjusted from 5.0 to 9.0 in increments of 0.5 pH units) with 20 mM buffers (MES, pH 5.0–6.5; HEPES, pH 7.0–8.0, Tricine, pH 8.5–9.0). Growth was measured at OD600 using a spectrophotometer (Jasco V550, Japan) after 1 week of culture. The requirement and tolerance to NaCl was tested on modified R2A agar supplemented with various concentrations of NaCl (adjusted from 0 to 1.0% with 0.1% increments). To calculate the bacterial mean generation time of the four isolated strains, the growth curves were created using 30 mL modified R2A medium in 50 mL serum bottles at 30°C with 1/100 inoculation scale, and then the values were obtained under bacterial exponential phase as described by Todar’s Online Textbook of Bacteriology8. Electron donor and acceptor utilization tests were carried out using degassed MFM at 30°C. Acetate (10 mM) was used as the electron donor for all electron acceptor tests while Fe(III)-NTA (5 mM) was the electron acceptor for all electron donor tests. The final concentrations of detected electron acceptors and donors were utilized as previously described (Nevin et al., 2005). Enzymatic activities of the four isolates and reference strain were detected using API ZYM strips (bioMérieux) based on the manufacturer’s instructions.

Cytochrome analysis of the four isolated strains was performed with cell grown in MFM with 20 mM fumarate and 20 mM acetate. Cultures (5 mL) were collected and resuspended in 2 mL of 20 mM PIPES buffer (pH 7.0). A dithionite-reduced minus air-oxidized difference spectrum of whole cells was obtained using a Jasco V550 spectrophotometer (Lovley et al., 1993). The ferric reduction abilities of the four isolated strains were measured using 20 mL MFW medium in 50 mL serum bottles supplemented with 10 mM acetate and 8 mM Fe(III)-NTA under an 80:20 mixture gas of N2:O2. The vessels were incubated at 30°C without shaking and every set of experiments were performed in triplicate. After cultured samples were collected at different sampling time, the soluble ferrous concentration was detected immediately using a ferrozine buffer as described by Onley et al. (2018), as well as total iron content after mixed with equal volume of 10% (w/v) hydroxylamine hydrochloride solution. The soluble ferric concentration was calculated by subtracting the amount of ferrous from the total iron amount. Absorbance was measured using a Jasco V550 spectrophotometer at a wavelength of 562 nm. Standards were prepared with ferrous ammonium sulfate hexahydrate spanning a concentration range of 0.1–10 mM ferrous ions.

Chemotaxonomic Characterization

For fatty acid detection, biomass of the four isolates and G. bemidjiensis DSM 16622T was collected from cultures grown for 3 days at 30°C in modified R2A broth, when the bacteria were in the late exponential growth phase. After washed twice in autoclaved distilled water and freeze dried, the fatty acids were extracted as described previously (Kuykendall et al., 1988). The fatty acid profiles were determined using a gas chromatography mass spectrometry (GCMS-QP2010 ultra, Shimadzu, Japan) with the standard reagents for different fatty acids (Gunina et al., 2014). Biomass collection for respiratory quinones analysis was same as fatty acid detection, except cultured for 5 days to get more biomass. Extraction and purification were performed as described previously (Bligh and Dyer, 1959) and Sep-Pak plus silica (Waters, United States) was employed for separation of quinones. Quinone profiles were determined using HPLC with ACQUITY UPLC H-Class system (Waters, United States), which was carried out by the TechnoSuruga Laboratory (Shizuoka, Japan). The whole-cell protein profiles of the four isolates and G. bemidjiensis DSM 16622T were detected using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) (AB SCIEX 5800, United States) according to the standard protocol described by Dridi and Drancourt (2011).

Accession Numbers

The GenBank accession number of the 16S rRNA gene sequences of strains S43T, Red53T, S62T, and Red111T are MH915553, MH915554, MH915555, and MH915556, respectively. Accession number of the fusA gene sequences are MK018132, MK018133, MK018134, and MK018135, respectively. Accession number of the nifD gene sequences are MK018136, MK018137, MK018138, and MK018139, respectively. Accession number of the recA gene sequences are MK018140, MK018141, MK018142, and MK018143, respectively. Accession number of the rpoB gene sequences are MK018144, MK018145, MK018146, and MK018147, respectively. Accession number of the gyrB gene sequences are MK018148, MK018149, MK018150, and MK018151, respectively.

This Whole Genome Shotgun project of strains S43T, Red53T, S62T and Red111T, have been deposited at DDBJ/ENA/GenBank under the accession RAHW00000000, SSYB00000000, SSYA00000000, and SRSC00000000, respectively.

Results and Discussion

Phylogenetic Analysis

Nearly complete 16S rRNA gene sequences were obtained for strain S43T (1424 bp, accession number MH915553), strain Red53T (1424 bp, accession number MH915554), strain S62T (1424 bp, accession number MH915555), and strain Red111T (1426 bp, accession number MH915556). Pairwise comparisons of the 16S rRNA gene sequences revealed 99.0–99.9% similarity between each pair within the four isolated strains. G. bemidjiensis BemT and G. bremensis Dfr1T were the most closely related strains in the family Geobacteraceae to the four isolated strains and showed 16S rRNA gene sequence similarities of 97.4–98.2% and 97.1–98.0%, respectively. In the phylogenetic tree based on the 16S rRNA gene sequences, the four strains fell within the clade comprising species of the family Geobacteraceae and formed a coherent cluster with G. bemidjiensis BemT, G. bremensis Dfr1T, and G. pelophilus Dfr2T, with a bootstrap resampling value of 100% (Figure 1). This result was confirmed by the phylogenetic trees drawn using the UBCG and MLSA, which placed the four strains S43T, S62T, Red111T, and Red53T in an independent and monophyletic branch together with three relatives in the family Geobacteraceae (Figures 2, 3 and Supplementary Figure 1). These robust phylogenetic relationships suggest that the four newly isolated strains along with the other three phylogenetic relatives may consist of a novel taxon in the family Geobacteraceae.

FIGURE 1
www.frontiersin.org

Figure 1. Neighbor-joining (NJ) phylogenetic tree based on 16S rRNA gene sequences showing the relationship of four novel strains S43T, Red53T, S62T, Red111T with other type species in the family Geobacteraceae. The tree was reconstructed using MEGA 7.0 with Kimura 2-parameter model. Closed circles indicate branches that were recovered with all three tree-making methods (maximum-likelihood, maximum-parsimony, and neighbor-joining). Bootstrap values (expressed as percentages of 1,000 replications) over 50% are shown at branching nodes. Bar, 0.01 substitutions per nucleotide position.

FIGURE 2
www.frontiersin.org

Figure 2. Maximum-likelihood (ML) phylogenetic tree based on the whole genome sequences showing the position of strains S43T, Red53T, S62T, Red111T and representatives of some related taxa in the family Geobacteraceae. The tree was constructed using RAxML tool with GTR + CAT model based on concatenated alignment of 92 core genes (alaS, argS, aspS, cgtA, coaE, cysS, dnaA, dnaG, dnaX, engA, ffh, fmt, frr, ftsY, gmk, hisS, ileS, infB, infC, ksgA, lepA, leuS, ligA, nusA, nusG, pgk, pheS, pheT, prfA, pyrG, recA, rbfA, rnc, rplA, rplB, rplC, rplD, rplE, rplF, rplI, rplJ, rplK, rplL, rplM, rplN, rplO, rplP, rplQ, rplR, rplS, rplT, rplU, rplV, rplW, rplX, rpmA, rpmC, rpmI, rpoA, rpoB, rpoC, rpsB, rpsC, rpsD, rpsE, rpsF, rpsG, rpsH, rpsI, rpsJ, rpsK, rpsL, rpsM, rpsO, rpsP, rpsQ, rpsR, rpsS, rpsT, secA, secG, secY, serS, smpB, tig, tilS, truB, tsaD, tsf, uvrB, ybeY, ychF). Bootstrap values (expressed as percentages of 100 replications) over 70% are shown at branching nodes. Bar, 0.05 substitutions per nucleotide position.

FIGURE 3
www.frontiersin.org

Figure 3. Maximum-likelihood (ML) phylogenetic tree showing the position of strains S43T, Red53T, S62T, Red111T and representatives of some related taxa in the order Desulfuromonadales based on deduced amino acid sequences of five concatenated housekeeping gene: rpoB (1–200 amino acids), recA (201–425 amino acids), nifD (426–687 amino acids), gyrB (688–984 amino acids) and fusA (985–1180 amino acids). The tree was reconstructed using MEGA 7.0 with LG + G model. Bootstrap values (expressed as percentages of 1,000 replications) over 50% are shown at branching nodes. Bar, 0.1 substitutions per amino acid position.

Yarza et al. (2014) recently proposed that the generally used arbitrary genus threshold of 16S rRNA gene identity should be revised to a lower minimum value of 94.5% from the previous 95% with a confidence interval of 94.55–95.05 and median sequence identity of 96.4%. However, comparison of the 16S rRNA genes in the four novel type strains with the sequence of the type strain of the type species G. metallireducens showed an identity value of 92.4%, which is clearly lower than the common threshold for genus differentiation. Thus, together with the distinct branches on the phylogenetic trees, the four strains may be classified into a distinct genus from the type species G. metallireducens.

Genome Analysis

The draft genome sizes of the four analyzed strains S43T, Red53T, S62T, and Red111T were 4.93 Mb, 4.76 Mb, 4.81 Mb, and 4.70 Mb, which contained 4170, 4072, 4098, and 3959 annotated protein-coding open reading frames (ORFs), respectively. The genomic G + C content of the four analyzed strains were 60.6–61.2 mol%, which was in line with that of three phylogenetic relatives, G. bemidjiensis BemT, G. bremensis Dfr1T, and G. pelophilus Dfr2T, showing values of 60.3–60.9 mol%, but obviously higher than those of other Geobacter species (Table 1; Nevin et al., 2005; Viulu et al., 2013). The detailed genomic characteristics of the four analyzed strains are listed in Supplementary Table 1. The ANI and GGDC values based on the genomic sequences of the four isolates and other Geobacteraceae species showed relatedness values below 77.6% and 22.8%, respectively (Table 2), which are well-below the defined thresholds for species delineation of 95–96% for ANI and 70% for GGDC (Chun et al., 2018), and support the inclusion of the four strains as a novel taxa in the family Geobacteraceae. When the four novel isolates were compared, the ANI values and GGDC values were in the range of 91.2–95.3% and 44.9–64.6%, respectively (Table 2). Among them, the maximum relatedness values related to strains S43T and S62T were 93.8% (ANI) and 56.2% (GGDC), which are lower than the threshold for delineation of bacterial species as described above, supporting the classification of strains S43T and S62T as two novel species. However, there was slightly more variability in strains Red53T and Red111T in the ANI and GGDC values (95.3% and 64.6%), respectively; the values are located in the transition zone for novel species description of 95–96% for ANI and 60–70% for GGDC (Richter and Rosselló-Móra, 2009). Although strains Red53T and Red111T can be separated from other known Geobacteraceae species as novel species with lower ANI (Max. 93.8%) and GGDC (Max. 56.2%) values, their species status cannot be separated from each other based on their genomic relatedness. Given the obscure position of strains Red53T and Red111T, more comparisons were performed based on their physiological and biochemical characteristics.

TABLE 1
www.frontiersin.org

Table 1. Differential characteristics between the four novel species and the type strains of phylogenetically related species of the family Geobacteraceae.

TABLE 2
www.frontiersin.org

Table 2. Average nucleotide identity (ANI) and Genome-to-Genome-Distance (GGDC) comparisons between the four novel strains S43T, Red53T, S62T, Red111T and other type species in the family Geobacteraceae.

Because genomic relatedness with nucleotide sequences were not suitable for genera separation (Qin et al., 2014), we further determined AAI and POCP values, which are robust approaches based on protein sequences, to determine the genome distance between the four strains and other known closely strains in the order Desulfuromonadales (Figure 4 and Supplementary Table 2). The four strains shared similarities of 77.0–77.4% for AAI and 75.6–77.8% for POCP to G. bemidjiensis, G. pelophilus, and G. bremensis, 57.5–64.5% for AAI and 48.0–59.1% for POCP to other known Geobacter species, and 48.6–53.0% for AAI and 33.2–42.5% for POCP to the genera Pelobacter and Desulfuromonas. The two genera Pelobacter and Desulfuromonas, used for comparison, were the closest phylogenetic neighbors to the four isolates except for the genus Geobacter, although they belong a different family Desulfuromonadaceae (Greene et al., 2009). Qin et al. (2014) proposed a threshold for genera delineation with the 50% of POCP, meaning the four strains belong to different genera from G. lovleyi and G. thiogenes of the family Geobacteraceae. However, based on 16S rRNA gene phylogenetic analysis, the type strains of G. lovleyi and G. thiogenes did not show the furthest genetic distance from the four strains within the family Geobacteraceae. The 50% boundary of POCP, hence, is not an appropriate metric for delineating genera within the family Geobacteraceae, as reported previously for the families Methylococcaceae (Orata et al., 2018), Bacillaceae (Aliyu et al., 2016), Burkholderiaceae (Lopes-Santos et al., 2017), Neisseriaceae (Li et al., 2017), and Rhodobacteraceae (Wirth and Whitman, 2018). Additionally, AAI, which delimits taxonomic ranks at the genus levels, has a proposed a threshold range of 60–80% to separate different genera (Luo et al., 2014; Rodriguez-R and Konstantinidis, 2014). However, because of the large range in genera separation, specific AAI boundaries have been proposed for several families for genera delineation. For example, the family Methylococcaceae used 71% AAI as the lower genus limit (Orata et al., 2018), the family Methylothermaceae used 70% AAI as the threshold to separate its genera (Skennerton et al., 2015), and ∼80% AAI was reported for the family Rhodobacteraceae (Wirth and Whitman, 2018). Thus, the large difference from 64.6% AAI (maximum value within Geobacter species) to 77.0% AAI (minimum value within proposed Geomonas species) is distinct enough to define two different genera in the family Geobacteraceae, particularly under the condition in which the minimum AAI difference between the two different families was only 5% (Supplementary Table 2).

FIGURE 4
www.frontiersin.org

Figure 4. Relationship between AAI and POCP values from pairwise whole-genome comparisons. Each dot represents an average comparison value between the four novel strains and their closely relatives in the order Desulfuromonadales. The circles indicate the three different groups separated by AAI and POCP values. A total of 24 genomes were included in this analysis. “Reclassified Geobacter” contains G. bemidjiensis, G. bremensis, and G. pelophilus.

The BRIG analysis indicated that most regions within the five analyzed genomes were conserved with at least 70% similarity (Figure 5). Furthermore, the four novel isolates (S43T, Red53T, S62T, and Red111T) showed higher similarity with each other in most genomic regions compared with the reference strain genome, indicating that the four novel strains are more closely related to each other than to G. bemidjiensis DSM 16622T, which is consistent with the results of the above phylogenetic and genomic analyses (Figure 2 and Table 2). Genomic DNA fingerprints of the four isolated strains and the reference strain G. bemidjiensis DSM 16622T showed clearly different banding patterns (Figure 6), confirming that the four isolates are not of clonal origin and distinct from each other.

FIGURE 5
www.frontiersin.org

Figure 5. Circular representation of whole-genome sequences of Geomonas oryzae S43T, Geomonas edaphica Red53T, Geomonas ferrireducens S62T, Geomonas terrae Red111T and Geobacter bemidjiensis DSM 16622T. The rings from inner to outer: ring 1–G + C content, ring 2–GC skew, ring 3–whole-genome sequences of G. oryzae S43T (red), ring 4–whole-genome sequences of G. edaphica Red53T (blue), ring 5–whole-genome sequences of G. ferrireducens S62T (pink), ring 6–whole genome sequences of G. terrae Red111T (cyan), ring 7–whole-genome sequences of G. bemidjiensis DSM 16622T (green). Comparison created using BRIG platform application.

FIGURE 6
www.frontiersin.org

Figure 6. Agarose gel-electrophoresis with rep-PCR and RAPD patterns from the analyzed five strains. BOX-PCR indicates rep-PCR with BOX primer and ERIC-PCR indicates rep-PCR with ERIC primers. B1, E1 and R1: Geomonas oryzae S43T; B2, E2 and R2: Geomonas edaphica Red53T; B3, E3 and R3: Geomonas ferrireducens S62T; B4, E4 and R4: Geomonas terrae Red111T; B5, E5 and R5: Geobacter bemidjiensis DSM 16622T; M: DNA marker.

Morphological and Physiological Characterization

The four isolates were characterized as Gram-stain negative, motile, and strictly anaerobic. Growth on the modified R2A plate were better than on the modified freshwater plate. TEM images of the four isolates showed that the cells were rod-shaped, with 0.4–0.8 μm wide and 1.0–2.5 μm long and contained peritrichous flagella for motility (Figure 7). Growth of the four strains was observed under 42°C with an optimum of 30–33°C and at pH 5.5–8.0 with an optimum of pH 6.0–7.0, whereas strains Red53T and Red111T did not grow below 10°C; strains S43T and S62T did not grow below 13°C. All the four strains can tolerate 0.7% (w/v) NaCl and grew well under 0.2%. Based on the bacterial growth curves (Supplementary Figure 2), the mean generation times of the four isolated strains S43T, Red53T, S62T, and Red111T were 206, 271, 237, and 271 min, respectively. For enzyme activity detected with API ZYM strips, all analyzed strains contained leucine arylamidase, acid phosphatase, and naphthol-AS-BI-phosphohydrolase activities. Besides them, strains S43T and S62T contained esterase (C4) and esteraselipase (C8) activities, strain Red53T also contained alkaline phosphatase, esterase (C4), and esteraselipase (C8) activities, and G. bemidjiensis DSM 16622T contained esterase (C4) activity. The c-type cytochromes were present based on the different spectra of whole cells (Supplementary Figure 3). The absorbance peaks for strains S43T, S62T, and Red111T were 424, 524, and 554 nm, with slight differences observed for Red53T (424, 522, and 554 nm), but distinct differences from the reference strain G. bemidjiensis DSM 16622T (422, 522, and 555 nm) (Nevin et al., 2005). Similar to other species in the family Geobacteraceae, the four isolated strains possessed ferric reducing ability, which reduced most ferric iron [Fe(III)-NTA] to ferrous iron in 20 days, although the reduction rates for the four strains were not identical (Figure 8). Other phenotypic characteristics of the strains are presented in Table 1 along with the species description. Based on these physiological features, strain Red53T was clearly differed from the other three isolates, confirming the possible distinct species status from strain Red111T, the closest genomic relative.

FIGURE 7
www.frontiersin.org

Figure 7. Cellular transmission electron micrograph of the four isolated strains. Cells were grown on R2A agar supplemented with 20 mM fumarate at 30°C for 5 days. (A) Geomonas oryzae S43T; (B) Geomonas edaphica Red53T; (C) Geomonas ferrireducens S62T; (D) Geomonas terrae Red111T. Bar, 500 nm.

FIGURE 8
www.frontiersin.org

Figure 8. Reduction of Fe(III)-NTA by the four isolated strains at different culture time, with acetate as the electron donor. (A) dissolved ferrous concentration; (B) dissolved ferric concentration. Control means no-bacteria medium. Data were all presented as means ± standard deviations (SD) of triplicate. When not shown, error bars are smaller than the symbol size.

Chemotaxonomic Characterization

The major fatty acids (>10% of the total fatty acids) present in strain S43T were identified as iso-C15:0 and C15:0 3-OH, which was the same as strains S62T and Red111T, but different from strain Red53T and the reference strain G. bemidjiensis DSM 16622T, because iso-C15:0 and C15:0 were the major fatty acids for strain Red53T and iso-C15:0, C15:0, and C15:0 3-OH were for G. bemidjiensis DSM 16622T. Other moderate and minor amounts of the five strains showed no significant differences, as shown in Table 2. Notably, strain Red53T showed a different major fatty acid profiles from the other three isolated strains, which further certified the separate species status of strain Red53T. The respiratory quinone was also investigated for the four isolates and MK-8 was identified as the predominant quinone, in line with the quinone profiles of other reported Geobacteraceae species (Viulu et al., 2013; Sun et al., 2014; Zhou et al., 2014). Small amounts of MK-7 and MK-9 were also detected for the four strains, among which the presence of MK-7 was in the first description of the family Geobacteraceae (Sun et al., 2014). In whole-cell protein profile analysis of the five strains by MALDI-TOF MS, the major peaks were located at m/z 5000–6000, whereas the exact position and content of each peak in different strains were obviously distinct (Supplementary Figure 4, asterisks), revealing differences in the whole-cell protein profiles and confirming the distinctiveness among the five strains.

Conclusion

In this study, we isolated four novel strains (S43T, Red53T, S62T, and Red111T) from paddy soils collected from different fields in Japan. Phylogenetic analyses based on 16S rRNA genes, UBCG, and MLSA showed that the four strains formed a robust group together with three relatives (G. bemidjiensis, G. bremensis, and G. pelophilus) and were obviously separate from other type strains in the family Geobacteraceae (Figures 13 and Supplementary Figure 1). When strains S43T, S62T and Red111T were compared with each other or with their three closest phylogenetic relatives, the genomic relatedness with ANI and GGDC values were less than the proposed threshold value for species delineation (Table 2), indicating that the three isolated strains are not from a clonal origin and represent three novel species. This distinctiveness was also supported by the DNA fingerprints, MALDI-TOF maps, and fatty acid profile results (Figure 6, Table 3, and Supplementary Figure 4). When comparing strains Red53T to Red111T, although they showed high genomic relatedness (Table 2) in the transition zone for novel species classification, their physiological and biochemical characteristics clearly differed. Thus, the four isolates represented four novel species in the family Geobacteraceae.

TABLE 3
www.frontiersin.org

Table 3. Fatty acid compositions of the four novel strains and the reference strain Geobacter bemidjiensis DSM 16622T.

In addition, the 16S rRNA gene similarities between the four strains and G. metallireducens, the type species of the genus Geobacter, showed a lower value than the common threshold for genus differentiation (Yarza et al., 2014). On the basis of the genomic G + C content, the four strains together with three relatives were separated clearly from their close phylogenetic neighbors, G. uraniireducens, G. daltonii and G. toluenoxydans with >5 mol% difference (Table 1). These facts, along with the robust phylogenetic positions and the difference in AAI values, indicate that the four isolated strains represent a novel genus in the family Geobacteraceae. Therefore, we proposed a new genus, Geomonas oryzae gen. nov., sp. nov., which also includes the new combinations Geomonas bemidjiensis comb. nov., Geomonas bremensis comb. nov., and Geomonas pelophila comb. nov. to accommodate G. bemidjiensis, G. bremensis, and G. pelophilus. Additionally, the phylogenetic trees based on gene and protein sequences strongly suggests that the remaining Geobacter is still paraphyletic (Figures 13). This proposition of the novel genus Geomonas is a pioneer but only a start of the taxonomic reclassification for the genus Geobacter. More taxonomic studies are needed to overhaul Geobacter taxonomy.

Description of Geomonas gen. nov.

Geomonas (Ge.o.mo’nas. Gr. fem. n. ge, the earth; L. fem. n. monas, a unit, monad; N.L. fem. n. Geomonas, a monad from the earth).

Cells are Gram-stain negative, strictly anaerobic, chemoheterotrophic, non-spore-forming, rod-shaped, and motile by peritrichous flagella or non-motile. Colonies are red-pigmented due to the presence of c-type cytochromes. Able to use fumarate, Fe(III)-NTA, and ferrihydrite as the electron acceptors in the presence of a variety of electron donors, including acetate, succinate, ethanol, pyruvate, propionate, malate, and lactate. The major fatty acid is iso-C 15:0. The predominant quinone is MK-8; MK-7 and MK-9 are also present in some species. The genomic DNA G + C content is 60.0-61.2 mol%.

The type species is Geomonas oryzae.

Description of Geomonas oryzae sp. nov.

Geomonas oryzae (o.ry’zae. L. gen. n. oryzae, of rice, referring to the isolation of the type strain from rice paddy soil).

Besides the characteristics that define the genus, the following characteristics are observed. Growth occurs at 13–42°C (optimum, 30–33°C), at pH 5.5–8.0 (optimum, 6.0–7.0), and with 0–0.7% (w/v) NaCl (optimum, 0–0.2%). With Fe(III)-NTA as electron acceptor, yeast powder, mannitol, glucose, tryptone, casamino acid, methanol, glutamine, nicotinate, glycerol, isopropanol, serine, naphthalene, salicylic acid, proline, and arginine can also be utilized as electron donor, but phenol, butanol, toluene, benzyl alcohol, and benzaldehyde cannot be utilized as electron donor. With acetate as electron donor, malate, nitrite, and nitrate can also be utilized as electron acceptor, but Fe(III) pyrophosphate, Fe(III) citrate, sulfur, and MnO2 cannot be utilized as electron acceptor. Esterase (C4), esteraselipase (C8), leucine arylamidase, acid phosphatase, and naphthol-AS-BI-phosphohydrolase activities were present but alkaline phosphatase, lipase (C14), valine arylamidase, cystine arylamidase, trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, β-glucosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-fucosidase activities are absent. The major fatty acids are iso-C 15:0 and C 15:0 3-OH. MK-7 and MK-9 are present in minor amounts.

The type strain, S43T (= MCCC 1K03691T = JCM 33030T), was isolated from paddy soil of a field in Niigata, Japan in February 2018. The genomic DNA G + C content of type strain is 61.2 mol%.

Description of Geomonas edaphica sp. nov.

Geomonas edaphica (e.da’phi.ca. Gr. neut. n. edaphos, ground; L. fem. suff. -ica, adjectival suffix used with the sense of belonging to; N.L. fem. adj. edaphica, living in soil).

Besides the characteristics that define the genus, the following characteristics are observed. Growth occurs at 10–42°C (optimum, 30–33°C), at pH 5.5–8.0 (optimum, 6.0–7.0), and with 0–0.7% (w/v) NaCl (optimum, 0–0.2%). With Fe(III)-NTA as electron acceptor, yeast powder, mannitol, glucose, tryptone, casamino acid, glutamine, nicotinate, glycerol, isopropanol, serine, naphthalene, salicylic acid, proline, and arginine can also be utilized as electron donor, but methanol, phenol, butanol, toluene, benzyl alcohol, and benzaldehyde cannot be utilized as electron donor. With acetate as electron donor, nitrite and nitrate can also be utilized as electron acceptor, but malate, Fe(III) pyrophosphate, Fe(III) citrate, sulfur, and MnO2 cannot be utilized as electron acceptor. Esterase (C4), esteraselipase (C8), leucine arylamidase, alkaline phosphatase, acid phosphatase, and naphthol-AS-BI-phosphohydrolase activities were present but lipase (C14), valine arylamidase, cystine arylamidase, trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, β-glucosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-fucosidase activities are absent. The major fatty acids are iso-C 15:0 and C 15:0. MK-7 and MK-9 are present in minor amounts.

The type strain, Red53T (= MCCC 1K04027T = NBRC 114064T), was isolated from paddy soil of a field in Yamaguchi, Japan in March 2018. The genomic DNA G + C content of type strain is 60.5 mol%.

Description of Geomonas ferrireducens sp. nov.

Geomonas ferrireducens (fer.ri.re.du’cens. L. neut. n. ferrum, iron; L. pres. part. reducens, converting to a different state; N.L. part. adj. ferrireducens, reducing ferric ions).

Besides the characteristics that define the genus, the following characteristics are observed. Growth occurs at 13–42°C (optimum, 30–33°C), at pH 5.5–8.0 (optimum, 6.0–7.0), and with 0–0.7% (w/v) NaCl (optimum, 0–0.2%). With Fe(III)-NTA as electron acceptor, yeast powder, mannitol, glucose, tryptone, casamino acid, methanol, glutamine, nicotinate, glycerol, isopropanol, serine, naphthalene, salicylic acid, proline, and arginine can also be utilized as electron donor, but phenol, butanol, toluene, benzyl alcohol, and benzaldehyde cannot be utilized as electron donor. With acetate as electron donor, nitrite and nitrate can also be utilized as electron acceptor, but malate, Fe(III) pyrophosphate, Fe(III) citrate, sulfur, and MnO2 cannot be utilized as electron acceptor. Esterase (C4), esteraselipase (C8), leucine arylamidase, acid phosphatase, and naphthol-AS-BI-phosphohydrolase activities were present but alkaline phosphatase, lipase (C14), valine arylamidase, cystine arylamidase, trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, β-glucosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-fucosidase activities are absent. The major fatty acids are iso-C 15:0 and C 15:0 3-OH. MK-7 and MK-9 are present in minor amounts.

The type strain, S62T (= MCCC 1K04028T = NBRC 114031T), was isolated from paddy soil of a field in Niigata, Japan in February 2018. The genomic DNA G + C content of type strain is 60.7 mol%.

Description of Geomonas terrae sp. nov.

Geomonas terrae (ter’rae. L. gen. n. terrae of/from soil).

Besides the characteristics that define the genus, the following characteristics are observed. Growth occurs at 10–42°C (optimum, 30–33°C), at pH 5.5–8.0 (optimum, 6.0–7.0), and with 0–0.7% (w/v) NaCl (optimum, 0–0.2%). With Fe(III)-NTA as electron acceptor, yeast powder, mannitol, glucose, tryptone, casamino acid, methanol, glutamine, nicotinate, glycerol, isopropanol, serine, naphthalene, salicylic acid, proline, and arginine can also be utilized as electron donor, but phenol, butanol, toluene, benzyl alcohol, and benzaldehyde cannot be utilized as electron donor. With acetate as electron donor, malate, nitrite, and nitrate can also be utilized as electron acceptor, but Fe(III) pyrophosphate, Fe(III) citrate, sulfur, and MnO2 cannot be utilized as electron acceptor. Leucine arylamidase, acid phosphatase, and naphthol-AS-BI-phosphohydrolase activities were present but esterase (C4), esteraselipase (C8), alkaline phosphatase, lipase (C14), valine arylamidase, cystine arylamidase, trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, β-glucosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-fucosidase activities are absent. The major fatty acids are iso-C 15:0 and C 15:0 3-OH. MK-7 and MK-9 are present in minor amounts.

The type strain, Red111T (= MCCC 1K04029T = NBRC 114026T), was isolated from paddy soil of a field in Yamaguchi, Japan in April 2018. The genomic DNA G + C content of type strain is 61.0 mol%.

Description of Geomonas bemidjiensis comb. nov.

Geomonas bemidjiensis (be.mid.ji.en’sis. N.L. fem. adj. bemidjiensis from Bemidji, MN, United States, where sediment samples were taken from which the type strain was isolated).

Basonym: Geobacter bemidjiensis Nevin et al., 2005.

Besides the characteristics that define the genus, the following characteristics are observed. Growth occurs at 15–37°C (optimum, 30°C) with the optimum pH, 7.0. With Fe(III)-NTA as electron acceptor, yeast powder, mannitol, glucose, tryptone, casamino acid, nicotinate, glycerol, isopropanol, serine, and proline can also be utilized as electron donor, but methanol, phenol, butanol, toluene, benzyl alcohol, arginine and benzaldehyde cannot be utilized as electron donor. With acetate as electron donor, malate, MnO2 and Fe(III) citrate can also be utilized as electron acceptor, but Fe(III) pyrophosphate, nitrate and sulfur cannot be utilized as electron acceptor. Leucine arylamidase, acid phosphatase, esterase (C4) and naphthol-AS-BI-phosphohydrolase activities were present, but esteraselipase (C8), alkaline phosphatase, lipase (C14), valine arylamidase, cystine arylamidase, trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, β-glucosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-fucosidase activities are absent. The major fatty acids are iso-C 15:0, C16:0 and C 15:0 3-OH.

The type strain is BemT (= ATCC BAA-1014T = DSM 16622T), isolated from subsurface sediments collected in Bemidji, MN, United States. The genomic DNA G + C content of type strain is 60.3 mol%.

Description of Geomonas bremensis comb. nov.

Geomonas bremensis (bre.men’sis. N.L. fem. adj. bremensis, pertaining to Breme, in northern Germany, where samples for enrichment cultures were taken).

Basonym: Geobacter bremensis Straub and Buchholz-Cleven 2001.

As described by Straub and Buchholz-Cleven (2001), optimum growth occurs at 30–32°C with the optimum pH, 5.5–6.7. The majority of the cells are non-motile and tend to form aggregates. With ferrihydrite as electron acceptor, hydrogen, formate, acetate, propionate, butyrate, pyruvate, lactate, malate, succinate, fumarate, benzoate, ethanol, propanol and butanol can be utilized as electron donor. With acetate as electron donor, Fe(III), Mn(IV), sulfur, fumarate and malate can be utilized as electron acceptor. No vitamins required.

The type strain is Dfr1T (= ATCC BAA-607T = DSM 12179T), isolated from a freshwater ditch in Bremen, Germany. The genomic DNA G + C content of type strain is 60.0 mol%.

Description of Geomonas pelophila comb. nov.

Geomonas pelophila (pe.lo’phi.la. Gr. masc. n. pelos mud; Gr. adj. philos loving; N.L. fem. adj. pelophila, mud-loving, as this species was isolated from freshwater mud).

Basonym: Geobacter pelophilus Straub and Buchholz-Cleven 2001.

As described by Straub and Buchholz-Cleven (2001), optimum growth occurs at 30–32°C with the optimum pH, 6.7–7.0. The majority of the cells are non-motile and tend to form aggregates. With ferrihydrite as electron acceptor, hydrogen, formate, acetate, propionate, pyruvate, malate, succinate, fumarate, ethanol and propanol can be utilized as electron donor. With acetate as electron donor, Fe(III), Mn(IV), sulfur, fumarate and malate can be utilized as electron acceptor. No vitamins required.

The type strain is Dfr2T (= ATCC BAA-603T = DSM 12255T), isolated from a freshwater ditch in Bremen, Germany. The genomic DNA G + C content of type strain is 60.9 mol%.

Author Contributions

ZX performed most of the laboratory work and data analysis. ZX, YM, HI, and KS designed the experiment. HI and YS collected the samples from different fields. ZX and HI performed the enrichment and isolation work. NU took the TEM images. ZX and YM wrote the manuscript. ZX, YM, HI, and KS edited the manuscript.

Funding

This study was supported by the JSPS KAKENHI Grant Numbers JP17H01464, JP18K14366, and JP18K19165, and the Canon Foundation. ZX thanks the financial support by the China Scholarship Council (CSC).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Chie Hayakawa of the University of Tokyo for her technical support to detect fatty acids and Kensuke Igarashi of the National Institute of Advanced Industrial Science and Technology (AIST) for his technical advice about culture of Geobacter. We also thank Jun Hamazaki and his lab members of One-Stop Sharing Facility Center for Future Drug Discoveries for their technical support to use MALDI-TOF MS.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.02201/full#supplementary-material

Abbreviations

AAI, average amino acid identity; ANI, average nucleotide identity; DSMZ, Deutsche Sammlung von Mikroorganismen und Zellkulturen; GGDC, Genome-to-Genome-Distance Calculator; MFM, modified freshwater medium; MLSA, multilocus sequence analysis; POCP, Percentage of Conserved Proteins; RAPD, random amplified polymorphic DNA; rep-PCR, Repetitive sequence-based PCR; UBCG, up-to-date bacterial core gene.

Footnotes

  1. ^ http://www.bacterio.net/geobacter.html
  2. ^ https://www.ezbiocloud.net/identify
  3. ^ www.ezbiocloud.net/tools/ubcg
  4. ^ http://jspecies.ribohost.com/jspeciesws/#analyse
  5. ^ https://ggdc.dsmz.de/ggdc.php
  6. ^ http://enve-omics.ce.gatech.edu/g
  7. ^ https://github.com/2015qyliang/POCP
  8. ^ http://textbookofbacteriology.net/growth_3.html

References

Alikhan, N. F., Petty, N. K., Zakour, N. L. B., and Beatson, S. A. (2011). BLAST ring image generator (BRIG): simple prokaryote genome comparisons. BMC Genom. 12:402. doi: 10.1186/1471-2164-12-402

PubMed Abstract | CrossRef Full Text | Google Scholar

Aliyu, H., Lebre, P., Blom, J., Cowan, D., and De Maayer, P. (2016). Phylogenomic re-assessment of the thermophilic genus Geobacillus. Syst. Appl. Microbiol. 39, 527–533. doi: 10.1016/j.syapm.2016.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ashida, N., Ishii, S., Hayano, S., Tago, K., Tsuji, T., Yoshimura, Y., et al. (2010). Isolation of functional single cells from environments using a micromanipulator: application to study denitrifying bacteria. Appl. Microbiol. Biotechnol. 85, 1211–1217. doi: 10.1007/s00253-009-2330-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Aziz, R. K., Bartels, D., Best, A. A., DeJongh, M., Disz, T., Edwards, R. A., et al. (2008). The RAST Server: rapid annotations using subsystems technology. BMC Genom. 9:75. doi: 10.1186/1471-2164-9-75

PubMed Abstract | CrossRef Full Text | Google Scholar

Bligh, E. G., and Dyer, W. J. (1959). A rapid method of total lipid extraction and purification. Can. J. Biochem. Physiol. 37, 911–917.

Google Scholar

Breidenbach, B., Pump, J., and Dumont, M. G. (2016). Microbial community structure in the rhizosphere of rice plants. Front. Microbiol. 6:1537. doi: 10.3389/fmicb.2015.01537

PubMed Abstract | CrossRef Full Text | Google Scholar

Caccavo, F., Lonergan, D. J., Lovley, D. R., and Davis, M. (1994). Geobacter sulfurreducens sp. nov., a hydrogen-and acetate-oxidizing dissimilatory metal-reducing microorganism. Microbiology 60, 3752–3759.

PubMed Abstract | Google Scholar

Childers, S. E., Ciufo, S., and Lovley, D. R. (2002). Geobacter metallireducens accesses insoluble Fe (III) oxide by chemotaxis. Nature 416, 767–769. doi: 10.1038/416767a

PubMed Abstract | CrossRef Full Text | Google Scholar

Chun, J., Oren, A., Ventosa, A., Christensen, H., Arahal, D. R., da Costa, M. S., et al. (2018). Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int. J. Syst. Evol. Microbiol. 68, 461–466. doi: 10.1099/ijsem.0.002516

PubMed Abstract | CrossRef Full Text | Google Scholar

Coppi, M. V., O’Neil, R. A., Leang, C., Kaufmann, F., Methé, B. A., Nevin, K. P., et al. (2007). Involvement of Geobacter sulfurreducens SfrAB in acetate metabolism rather than intracellular, respiration-linked Fe(III) citrate reduction. Microbiology 153, 3572–3585. doi: 10.1099/mic.0.2007/006478-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Cummings, D. E., Snoeyenbos-West, O. L., Newby, D. T., Niggemyer, A. M., Lovley, D. R., Achenbach, L. A., et al. (2003). Diversity of Geobacteraceae species inhabiting metal-polluted freshwater lake sediments ascertained by 16S rDNA analyses. Microb. Ecol. 46, 257–269. doi: 10.1007/s00248-005-8002-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Dridi, B. B., and Drancourt, M. (2011). Characterization of prokaryotes using MALDI-TOF Mass spectrometry. Methods Microbiol. 38, 283–297. doi: 10.1016/b978-0-12-387730-7.00013-9

CrossRef Full Text | Google Scholar

Garrity, G. M., Bell, J. A., and Lilburn, T. (2005). “Family II. Geobacteraceae family,” in Bergey’s Manual of Systematic Bacteriology, eds D. J. Brenner, N. R. Krieg, J. T. Staley, and G. M. Garrity, (Berlin: Springer).

Google Scholar

Greene, A. C., Patel, B. K., and Yacob, S. (2009). Geoalkalibacter subterraneus sp. nov., an anaerobic Fe (III)-and Mn (IV)-reducing bacterium from a petroleum reservoir, and emended descriptions of the family Desulfuromonadaceae and the genus Geoalkalibacter. Int. J. Syst. Evol. Microbiol. 59, 781–785. doi: 10.1099/ijs.0.001537-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunina, A., Dippold, M. A., Glaser, B., and Kuzyakov, Y. (2014). Fate of low molecular weight organic substances in an arable soil: from microbial uptake to utilisation and stabilisation. Soil Biol. Biochem. 77, 304–313. doi: 10.1016/j.soilbio.2014.06.029

CrossRef Full Text | Google Scholar

Hernández-Eligio, A., Pat-Espadas, A. M., Vega-Alvarado, L., Huerta-Amparán, M., Cervantes, F. J., and Juárez, K. (2018). Global transcriptional analysis of Geobacter sulfurreducens under palladium reducing conditions reveals new key cytochromes involved. BioRxiv

Google Scholar

Holmes, D. E., Nevin, K. P., and Lovley, D. R. (2004). Comparison of 16S rRNA, nifD, recA, gyrB, rpoB and fusA genes within the family Geobacteraceae fam. nov. Int. J. Syst. Evol. Microbiol. 54, 1591–1599. doi: 10.1099/ijs.0.02958-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, D. E., O’neil, R. A., Chavan, M. A., N’guessan, L. A., Vrionis, H. A., Perpetua, L. A., et al. (2009). Transcriptome of Geobacter uraniireducens growing in uranium-contaminated subsurface sediments. ISME J. 3:216. doi: 10.1038/ismej.2008.89

PubMed Abstract | CrossRef Full Text | Google Scholar

Hori, T., Müller, A., Igarashi, Y., Conrad, R., and Friedrich, M. W. (2010). Identification of iron-reducing microorganisms in anoxic rice paddy soil by 13C-acetate probing. ISME J. 4, 267–278. doi: 10.1038/ismej.2009.100

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishii, S., and Sadowsky, M. J. (2009). Applications of the rep-PCR DNA fingerprinting technique to study microbial diversity, ecology and evolution. Environ. Microbiol. 11, 733–740. doi: 10.1111/j.1462-2920.2008.01856.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kimura, M. (1980). A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J. Mol. Evol. 16, 111–120. doi: 10.1007/BF01731581

PubMed Abstract | CrossRef Full Text | Google Scholar

Kögel-Knabner, I., Amelung, W., Cao, Z., Fiedler, S., Frenzel, P., Jahn, R., et al. (2010). Biogeochemistry of paddy soils. Geoderma 157, 1–14. doi: 10.1016/j.geoderma.2010.03.009

CrossRef Full Text | Google Scholar

Konstantinidis, K. T., and Tiedje, J. M. (2005). Towards a genome-based taxonomy for prokaryotes. J. Bacteriol. 187, 6258–6264. doi: 10.1128/JB.187.18.6258-6264.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Stecher, G., and Tamura, K. (2016). MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 33, 1870–1874. doi: 10.1093/molbev/msw054

PubMed Abstract | CrossRef Full Text | Google Scholar

Kunapuli, U., Jahn, M. K., Lueders, T., Geyer, R., Heipieper, H. J., and Meckenstock, R. U. (2010). Desulfitobacterium aromaticivorans sp. nov. and Geobacter toluenoxydans sp. nov., iron-reducing bacteria capable of anaerobic degradation of monoaromatic hydrocarbons. Int. J. Syst. Evol. Microbiol. 60, 686–695. doi: 10.1099/ijs.0.003525-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuykendall, L. D., Roy, M. A., O’neill, J. J., and Devine, T. E. (1988). Fatty acids, antibiotic resistance, and deoxyribonucleic acid homology groups of Bradyrhizobium japonicum. Int. J. Syst. Bacteriol. 38, 358–361. doi: 10.1099/00207713-38-4-358

CrossRef Full Text | Google Scholar

Li, R., Li, Y., Kristiansen, K., and Wang, J. (2008). SOAP: short oligonucleotide alignment program. Bioinformatics 24, 713–714. doi: 10.1093/bioinformatics/btn025

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Xue, H., Sang, S. Q., Lin, C. L., and Wang, X. Z. (2017). Phylogenetic analysis of family Neisseriaceae based on genome sequences and description of Populibacter corticis gen. nov., sp. nov., a member of the family Neisseriaceae, isolated from symptomatic bark of Populus × euramericana canker. PLoS One 12:e0174506. doi: 10.1371/journal.pone.0174506

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z., Suzuki, D., Zhang, C., Yang, S., Nan, J., Yoshida, N., et al. (2014). Anaerobic 4-chlorophenol mineralization in an enriched culture under iron-reducing conditions. J. Biosci. Bioeng. 118, 529–532. doi: 10.1016/j.jbiosc.2014.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopes-Santos, L., Castro, D. B. A., Ferreira-Tonin, M., Corrêa, D. B. A., Weir, B. S., Park, D., et al. (2017). Reassessment of the taxonomic position of Burkholderia andropogonis and description of Robbsia andropogonis gen. Antonie Van Leeuwenhoek 110, 727–736. doi: 10.1007/s10482-017-0842-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Lovley, D. R., Giovannoni, S. J., White, D. C., Champine, J. E., Phillips, E. J. P., Gorby, Y. A., et al. (1993). Geobacter metallireducens gen. nov. sp. nov., a microorganism capable of coupling the complete oxidation of organic compounds to the reduction of iron and other metals. Arch. Microbiol. 159, 336–344. doi: 10.1007/BF00290916

PubMed Abstract | CrossRef Full Text | Google Scholar

Lovley, D. R., Ueki, T., Zhang, T., Malvankar, N. S., Shrestha, P. M., Flanagan, K. A., et al. (2011). Geobacter: the microbe electric’s physiology, ecology, and practical applications. Adv. Microb. Physiol. 59, 1–100. doi: 10.1016/B978-0-12-387661-4.00004-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, C., Rodriguez-R, L. M., and Konstantinidis, K. T. (2014). MyTaxa: an advanced taxonomic classifier for genomic and metagenomic sequences. Nucleic Acids Res. 42:e73. doi: 10.1093/nar/gku169

PubMed Abstract | CrossRef Full Text | Google Scholar

Masuda, Y., Itoh, H., Shiratori, Y., Isobe, K., Otsuka, S., and Senoo, K. (2017). Predominant but previously-overlooked prokaryotic drivers of reductive nitrogen transformation in paddy soils, revealed by metatranscriptomics. Microbes Environ. 32, 180–183. doi: 10.1264/jsme2.ME16179

PubMed Abstract | CrossRef Full Text | Google Scholar

Meier-Kolthoff, J. P., Auch, A. F., Klenk, H. P., and Göker, M. (2013). Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 14:60. doi: 10.1186/1471-2105-14-60

PubMed Abstract | CrossRef Full Text | Google Scholar

Mouser, P. J., Holmes, D. E., Perpetua, L. A., DiDonato, R., Postier, B., Liu, A., et al. (2009). Quantifying expression of Geobacter spp. oxidative stress genes in pure culture and during in situ uranium bioremediation. ISME J. 3, 454–465. doi: 10.1038/ismej.2008.126

PubMed Abstract | CrossRef Full Text | Google Scholar

Na, S. I., Kim, Y. O., Yoon, S. H., Ha, S. M., Baek, I., and Chun, J. (2018). UBCG: up-to-date bacterial core gene set and pipeline for phylogenomic tree reconstruction. J Microbiol. 56:280. doi: 10.1007/s12275-018-8014-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Nevin, K. P., Holmes, D. E., Woodard, T. L., Covalla, S. F., and Lovley, D. R. (2007). Reclassification of Trichlorobacter thiogenes as Geobacter thiogenes comb. nov. Int. J. Syst. Evol. Microbiol. 57, 463–466. doi: 10.1099/ijs.0.63408-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Nevin, K. P., Holmes, D. E., Woodard, T. L., Hinlein, E. S., Ostendorf, D. W., and Lovley, D. R. (2005). Geobacter bemidjiensis sp. nov. and Geobacter psychrophilus sp. nov., two novel Fe(III)-reducing subsurface isolates. Int. J. Syst. Evol. Microbiol. 55, 1667–1674. doi: 10.1099/ijs.0.63417-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Onley, J. P., Ahsan, S., Sanford, R. A., and Löffle, F. E. (2018). Denitrification by Anaeromyxobacter dehalogenans, a common soil bacterium lacking the nitrite reductase genes nirS and nirK. Appl. Environ. Microbiol. 84, e1985–e1917. doi: 10.1128/AEM.01985-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Orata, F. D., Meier-Kolthoff, J. P., Sauvageau, D., and Stein, L. Y. (2018). Phylogenomic analysis of the gammaproteobacterial methanotrophs (Order Methylococcales) calls for the reclassification of members at the genus and species levels. Front. Microbiol. 9:3162. doi: 10.3389/fmicb.2018.03162

PubMed Abstract | CrossRef Full Text | Google Scholar

Prakash, O., Gihring, T. M., Dalton, D. D., Chin, K. J., Green, S. J., Akob, D. M., et al. (2010). Geobacter daltonii sp. nov., an Fe(III)- and uranium(VI)-reducing bacterium isolated from a shallow subsurface exposed to mixed heavy metal and hydrocarbon contamination. Int. J. Syst. Evol. Microbiol. 60, 546–553. doi: 10.1099/ijs.0.010843-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, Q. L., Xie, B. B., Zhang, X. Y., Chen, X. L., Zhou, B. C., Zhou, J., et al. (2014). A proposed genus boundary for the prokaryotes based on genomic insights. J. Bacteriol. 196, 2210–2215. doi: 10.1128/JB.01688-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Richter, M., and Rosselló-Móra, R. (2009). Shifting the genomic gold standard for the prokaryotic species definition. Proc. Natl. Acad. Sci. U.S.A. 106, 19126–19131. doi: 10.1073/pnas.0906412106

PubMed Abstract | CrossRef Full Text | Google Scholar

Richter, M., Rosselló-Móra, R., Glöckner, F. O., and Peplies, J. (2016). JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 32, 929–931. doi: 10.1093/bioinformatics/btv681

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-R, L. M., and Konstantinidis, K. T. (2014). Bypassing cultivation to identify bacterial species. Microbe 9, 111–118. doi: 10.1128/microbe.9.111.1

CrossRef Full Text | Google Scholar

Rotaru, A. E., Shrestha, P. M., Liu, F. H., Markovaite, B., Chen, S., Nevin, K. P., et al. (2014). Direct interspecies electron transfer between Geobacter metallireducens and Methanosarcina barkeri. Appl. Environ. Microbiol. 80, 4599–4605. doi: 10.1128/AEM.00895-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Shelobolina, E. S., Vrionis, H. A., Findlay, R. H., and Lovley, D. R. (2008). Geobacter uraniireducens sp. nov., isolated from subsurface sediment undergoing uranium bioremediation. Int. J. Syst. Evol. Microbiol. 58, 1075–1078. doi: 10.1099/ijs.0.65377-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Skennerton, C. T., Ward, L. M., Michel, A., Metcalfe, K., Valiente, C., Mullin, S., et al. (2015). Genomic reconstruction of an uncultured hydrothermal vent gammaproteobacterial methanotroph (family Methylothermaceae) indicates multiple adaptations to oxygen limitation. Front. Microbiol. 6:1425. doi: 10.3389/fmicb.2015.01425

CrossRef Full Text | Google Scholar

Straub, K. L., and Buchholz-Cleven, B. E. E. (2001). Geobacter bremensis sp. nov. and Geobacter pelophilus sp. nov., two dissimilatory ferric-iron-reducing bacteria. Int. J. Syst. Evol. Microbiol. 51, 1805–1808. doi: 10.1099/00207713-51-5-1805

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D., Wang, A., Cheng, S., Yates, M., and Logan, B. E. (2014). Geobacter anodireducens sp. nov., an exoelectrogenic microbe in bioelectrochemical systems. Int. J. Syst. Evol. Microbiol. 64, 3485–3491. doi: 10.1099/ijs.0.061598-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Tejedor-Sanz, S., Fernández-Labrador, P., Hart, S., Torres, C. I., and Esteve-Núñez, A. (2018). Geobacter dominates the inner layers of a stratified biofilm on a fluidized anode during brewery wastewater treatment. Front. Microbiol. 9:378. doi: 10.3389/fmicb.2018.00378

PubMed Abstract | CrossRef Full Text | Google Scholar

Versalovic, J., Schneider, M., De Bruijn, F. J., and Lupski, J. R. (1994). Genomic fingerprinting of bacteria using repetitive sequence-based polymerase chain reaction. Methods Mol. Cell. Biol. 5, 25–40.

Google Scholar

Viulu, S., Nakamura, K., Okada, Y., Saitou, S., and Takamizawa, K. (2013). Geobacter luticola sp. nov., an Fe(III)-reducing bacterium isolated from lotus field mud. Int. J. Syst. Evol. Microbiol. 2, 442–448. doi: 10.1099/ijs.0.039321-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Wirth, J. S., and Whitman, W. B. (2018). Phylogenomic analyses of a clade within the roseobacter group suggest taxonomic reassignments of species of the genera Aestuariivita, Citreicella, Loktanella, Nautella, Pelagibaca, Ruegeria, Thalassobius, Thiobacimonas and Tropicibacter, and the proposal of six novel genera. Int. J. Syst. Evol. Microbiol. 68, 2393–2411. doi: 10.1099/ijsem.0.002833

PubMed Abstract | CrossRef Full Text | Google Scholar

Yarza, P., Yilmaz, P., Pruesse, E., Glöckner, F. O., Ludwig, W., Schleifer, K. H., et al. (2014). Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat. Rev. Microbiol. 12, 635–645. doi: 10.1038/nrmicro3330

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, S. H., Ha, S. M., Kwon, S., Lim, J., Kim, Y., Seo, H., et al. (2017). Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int. J. Syst. Evol. Microbiol. 67, 1613–1617. doi: 10.1099/ijsem.0.001755

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, K., and Pauls, K. P. (1992). Optimization of the PCR program for RAPD analysis. Nucleic Acids Res. 20:2606. doi: 10.1093/nar/20.10.2606

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, S., Yang, G., Lu, Q., and Wu, M. (2014). Geobacter soli sp. nov., a dissimilatory Fe(III)-reducing bacterium isolated from forest soil. Int. J. Syst. Evol. Microbiol. 64, 3786–3791. doi: 10.1099/ijs.0.066662-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Geomonas, Geomonas oryzae sp. nov., Geomonas edaphica sp. nov., Geomonas ferrireducens sp. nov., Geomonas terrae sp. nov., ferric-reducing bacteria, paddy soil

Citation: Xu Z, Masuda Y, Itoh H, Ushijima N, Shiratori Y and Senoo K (2019) Geomonas oryzae gen. nov., sp. nov., Geomonas edaphica sp. nov., Geomonas ferrireducens sp. nov., Geomonas terrae sp. nov., Four Ferric-Reducing Bacteria Isolated From Paddy Soil, and Reclassification of Three Species of the Genus Geobacter as Members of the Genus Geomonas gen. nov. Front. Microbiol. 10:2201. doi: 10.3389/fmicb.2019.02201

Received: 06 July 2019; Accepted: 09 September 2019;
Published: 25 September 2019.

Edited by:

Rich Boden, University of Plymouth, United Kingdom

Reviewed by:

Aharon Oren, The Hebrew University of Jerusalem, Israel
Peter Vandamme, Ghent University, Belgium
Julie Ardley, Murdoch University, Australia

Copyright © 2019 Xu, Masuda, Itoh, Ushijima, Shiratori and Senoo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yoko Masuda, eWdpZ2ljb0BnbWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.