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ORIGINAL RESEARCH article

Front. Microbiol., 05 May 2020
Sec. Evolutionary and Genomic Microbiology

Out From the Shadows – Resolution of the Taxonomy of the Family Cryomorphaceae

  • Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS, Australia

The family Cryomorphaceae for many years has been a poorly defined taxonomic group within the order Flavobacteriales, phylum Bacteroidetes. Members of the Cryomorphaceae, apparently consisting of multiple-family level clades, have been mostly but not exclusively detected in saline ecosystems. The problems with the taxonomy of this group have stemmed from inadequate resolution of taxonomic groups using 16S rRNA gene sequences, sparse numbers of cultivated taxa, and limited phenotypic distinctiveness. The Genome Tiaxonomc Database (GTDB), which is based on normalized taxonomic ranks includes Cryomorphaceae as containing the genera Owenweeksia and Schleiferia. This is at odds with the official taxonomy that places these genera in the family Schleiferiaceae. The other Cryomorphaceae affiliated species have even more uncertain taxonomic positions including Cryomorpha ignava. To clarify the taxonomy of Cryomorphaceae, genomes were generated for all type strains of the family Cryomorphaceae lacking such data. The GTDB-toolkit (GTDB-tk) was used to place taxa in the GTDB, which revealed novelty at the family level for some of these type strains. 16S rRNA gene sequences and concatenated protein sequences were used to further evaluate the taxonomy of the order Flavobacteriales. From the data, the GTDB enabled successful clarification of the taxonomy of the family Cryomorphaceae. A number of placeholder families were given Latinized names. It is proposed that the family Cryomorphaceae is emended to include only the species Cryomorpha ignava. The family Schleiferiaceae is emended to account for the expansion of its membership. Luteibaculum oceani represents a new family designated Luteibaculaceae fam. nov. Vicingus serpentipes is the representative of Vicingaceae fam. nov. while Salibacter halophilus represents Salibacteraceae fam. nov.

Introduction

The family Cryomorphaceae, a member of order Flavobacteriales within the phylum Bacteroidetes, was created with the description of the psychrophilic bacterial species Cryomorpha ignava, Crocinitomix catalasitica and Brumimicrobium glaciale (Bowman et al., 2003). Phylogenetically, the family forms a clade within the order Flavobacteriales that overlaps an environmental sequence clade sometimes referred to as “AGG58”, detected in seawater in one of the first molecular surveys of uncultivated marine bacteria (DeLong et al., 1993). Initially it was thought Cryomorphaceae were largely marine in origin, however, the description of taxa from freshwater ecosystems, such as of the genus Fluviicola (O’Sullivan et al., 2004, 2005; Yang et al., 2014; Dahal and Kim, 2018; Akter and Huq, 2019) instead indicates association with a wide habitat range. Bacterial species that have been cultivated and described, however, are mostly from saline ecosystems (Lau et al., 2005; Lau et al., 2006; Lee et al., 2010; Muramatsu et al., 2012; Shahina et al., 2013; Yang et al., 2013; Zhou et al., 2013; Zheng et al., 2015; Dunlap et al., 2017; Lu et al., 2017; Wiese et al., 2018). Environmental surveys have detected members of Cryomorphaceae in diverse marine and terrestrial systems (Pinhassi et al., 2004; Abell and Bowman, 2005; Aguilo-Ferretjans et al., 2008; Casamayor et al., 2013) but they seem largely absent from metazoan host systems.

Phenotypic data suggests cultivated Cryomorphaceae taxa are to some extent nutritionally fastidious requiring several amino acids and vitamins for growth. Some may exhibit photoheterotrophy (Gómez-Consarnau et al., 2019) due to the presence of proteorhodopsins. Early on, clones were found to be associated with phytoplankton in seawater samples (Pinhassi et al., 2004) as discovered in the study of DeLong et al. (1993). No specific associations with organic matter with this group are known but the taxa seem more predominant in productive ocean and coastal regions (Abell and Bowman, 2005; Fodelianakis et al., 2014; Campbell et al., 2015), amongst algal blooms (Delmont et al., 2014, 2015; Shao et al., 2020), saline waters with enhanced organic loads (Mitulla et al., 2016; Califano et al., 2017; Nilsson et al., 2018; Corsino et al., 2019), and are seemingly enriched in the marine surface layer (Zäncker et al., 2018). Along with Flavobacteriaceae, members of the Cryomorphaceae readily colonize ocean plastic waste though the biofilm communities do not exhibit preference for this type of surface with similar communities occurring on particulates and glass surfaces (Oberbeckmann et al., 2016). The wide range of habitats and diversity of this group suggests many niche and particular nutritional preferences nevertheless Cryomorphaceae are common enough to be detected in snow accumulating on the high Antarctic Plateau 1100 km from the Southern Ocean coast (Michaud et al., 2014).

The similarity level of the cultivated taxa of the family on the basis of 16S rRNA gene sequences ranges from 87–89% with exception of Phaeocystidibacter species which are more closely related to Owenweeksia. For many years, this level of sequence divergence was deemed reasonable for a family level clade, however, with the steady accumulation of new taxa, including description of the family Schleiferiaceae (Albuquerque et al., 2011), the family Cryomorphaceae has lost coherence (Bowman, 2015). The family Crocinitomicaceae was created by Munoz et al. (2016) and accommodates several former members of Cryomorphaceae including the recently described genus Putridiphycobacter (Wang et al., 2019), however, its creation only partly clarifies the taxonomy of the Cryomorphaceae. The Genome Taxonomic Database (GTDB, Parks et al., 2018) was used in this study to evaluate the taxonomic positions and relatedness of cultivated species of the family Cryomorphaceae and more broadly the order Flavobacteriales. The GTDB has provided a major advance to the taxonomy of bacteria and archaea by defining taxonomic ranks using a relative evolutionary divergence (RED) value. This is calculated from branch lengths generated in trees based on 120 conserved concatenated proteins, referred to as the BAC120 set. There is some compromise for taxa with unusual evolutionary rate changes, for example as exemplified by the insect endosymbionts of family Blattabacteriaceae, a distinct group within Flavobacteriales. The Cryomorphaceae have evolutionary rates that seem more typical for the order Flavobacteriales and most other bacteria, thus it was deemed the GTDB was suitable in resolving the taxonomy of the family. Furthermore, the GTDB includes the rich biodiversity comprising single cell amplified genomes and metagenome assembled genomes (MAGs). The suite of genome data incorporating Cryomorphaceae and its relatives in order Flavobacteriales is especially dominated by MAGs owing to sparse descriptions of cultivated strains.

However, it is evident the taxonomy of the GTDB should be considered to some extent provisional with the nomenclature if not with the actual taxonomy. Relevant to this study the usage of the term Cryomorphaceae by the GTDB and the official taxonomy – as defined by the List of Prokaryotic names with Standing in Nomenclature (Parte, 2018;1) is inconsistent. García-López et al. (2019) emended the family Schleiferiaceae to include the genera Schleiferia and Owenweeksia on the basis of whole genome comparisons. In GTDB taxonomy these genera are also grouped, however, are collectively referred to as Cryomorphaceae contravening rule 55 of the Bacterial Code (Lapage et al., 1990) in that legitimate names cannot be arbitrarily replaced. This family group also should include the species Thermaurantimonas aggregans (Iino et al., 2020). To resolve the vague state of the taxonomy of Cryomorphaceae and its disposition within the official and GTDB taxonomy the GTDB-toolkit (Chaumeil et al., 2019) was used to first place newly sequenced taxa within the GTDB. Some could be immediately placed in placeholder or named families. Some taxa, however, including Cryomorpha ignava and Luteibaculum oceani were indicated as having phylogenetic novelty and thus required further investigation.

Materials and Methods

Genome Sequencing and Annotation

Genome sequences were generated from the following strains: Brumimicrobium glaciale LMG 21434T, Cryomorpha ignava ACAM 647T, Luteibaculum oceani JCM 18817T, Phaeocystidibacter luteus LMG 25704T, Phaeocystidibacter marisrubri JCM 30614T, Salibacter halophilus KCTC 52047T and Vicingus serpentipes NCIMB 15042T. Accession codes are shown in Supplementary Table S1 and the Data Availability section. Genomes were generated either using 150 × 2 pair end ends using the Illumina HiSeq platform or as 100 bp reads generated using the NovaSeq 6000 platform. Sequence coverage was at least 150-fold. Contigs were assembled using Unicycler 0.4.8.0 (Wick et al., 2017) and then annotated using Prokka v.1.14.5 (Seemann, 2014) as implemented in Galaxy. The GTDB-tk (Chaumeil et al., 2019) as implemented in KBase (Arkin et al., 2018) was used to place genomes in the GTDB.

Concatenated Protein Sets

Targeted Flavobacteriales and reference genomes (Supplementary Table S1) were selected using the GTDB browser and by performing BLAST-P searches using chromosomal replication initiation (DnaA) protein to find more recently deposited sequences. Protein sequences were obtained from genomes downloaded from NCBI for concatenation. Two concatenated arrays of proteins were created in Geneious Prime (Biomatters Ltd., Auckland, New Zealand). The first set was based on the BAC120 set from GTDB (Parks et al., 2018). A second smaller set of proteins included a genomic region that maintains high levels of synteny across many bacterial phyla. This region typically starts with ribosomal protein S12 (RpsL) and ends with ribosomal protein L17 (RplQ). In many genomes the enolase protein follows RplQ and was thus included as was DnaA. The proteins included: DnaA, RpsL, RpsG, FusA, RpsJ, RplC, RplD, RplW, RplB, RpsS, RplV, RpsC, RplP, RpmC, RpsQ, RplN, RplX, RplE, RpsN, RpsH, RplF, RplR, RpsE, RpmD, RplO, SecY, InfA, RpsM, RpsK, RpsD, RpoA, RplQ, and Eno. This set includes 33 proteins comprising 7530 amino acid positions in total. This set was used to confirm conclusions generated from the BAC120 set and is designated here as “DnaA/RpsJ-RplQ/Eno.”

Tree Construction and Analysis

16S rRNA sequences were downloaded from NCBI and GTDB and included those related to cultivated members of the family Cryomorphaceae. Near full-length sequences were used where possible, however, short sequences derived from MAGs matching those used for protein sequence comparisons were incorporated where possible. Sequence analysis was performed using NGPhylogeny.fr (Lemoine et al., 2019) and IQ-Tree (Nguyen et al., 2015; Trifinopoulos et al., 2016; Hoang et al., 2018). BIONJ-joined consensus trees were assessed with bootstrap analysis (either 200 or 1000 replicates) using default options in the given pipelines. The trees were visualized and annotated using ITOL (Letunic and Bork, 2019). Protein alignments were also analyzed using NGphylogeny-fr (ran as a Galaxy docker image) and IQ-tree using the LG model (Le and Gascuel, 2008). Consensus BIONJ trees were generated as for 16S rRNA gene sequences.

Results

GTDB Assignments

GTDB-tk analysis determined provisional family-level assignments for the Cryomorphaceae genomes sequenced (Table 1). The 3.5 Mbp MAG Gem2.bin46 derived from a soda lake metagenome (GCA_007695365; Zorz et al., 2019) was also included since it had the closest relatedness to the Cryomorpha ignava type strain 5.0 Mbp genome. Most of the taxa, according to the GTDB-tk were indicated to have taxonomic novelty since they were associated with families with placeholder designations including PHOS-HE28, koll-22 and 1G12. Phaeocystidibacter species were grouped within the family Schleiferiaceae while Brumimicrobium glaciale, as expected, was related to other Brumimicrobium species but is genetically distinct (average nucleotide identity score of 80.7% to Brumimicrobium mesophilum JCM 14063T). The GTDB-tk assessment of the Cryomorpha ignava genome placed it outside the GTDB representation of Cryomorphaceae. L. oceani and Gem2-bin46 based on GTDB-tk outputs (Table 1) also potentially form a separate family or belong to different families.

TABLE 1
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Table 1. GTDB-tk (KBase) analysis of taxa investigated in this study.

16S rRNA Gene Sequence Evaluation

To establish the family level relatedness of cultivated Cryomorphaceae taxa as well as Gem2.bin46, 16S rRNA genes and two concatenated protein sets were compared. For the 16S rRNA gene dataset most sequences related to the Cryomorphaceae include sequences from environmental sample surveys (Figure 1). 16S rRNA data from MAGs, as is normally the case, was relatively sparse. Family level clades are shown in the 16S rRNA tree with designations guided by GTDB, the new genome data (Figure 1) and the taxonomic revisions proposed by García-López and colleagues (2019). The family clade level designations are the same as given for all trees shown here. Within the 16S rRNA gene sequence based tree the Cryomorpha ignava type strain and Gem2.bin46 formed two clusters with insignificant bootstrap support. These clusters were positioned adjacent to the PHOS-HE28 and UBA2798 clades, but negligible bootstrap values occur between these clades and those designated as being Cryomorphaceae sensu stricto. L. oceani forms a distinct clade that branches deeply with no connection to other taxa. V. serpentipes grouped clearly within the koll-22 clade forming a lineage distinct at the genus level. S. halophilus 16S rRNA also formed a distinct group in terms of 16S rRNA sequences. As is shown below with protein-based trees S. halophilus groups with the GTDB 1G12 clade, however, this clade was polyphyletic in the 16S rRNA tree. One complication is the lack of 16S rRNA gene sequences associated with MAGS belonging to 1G12, so sequences retrieved are based largely on similarity. A low level of relatedness between members of 1G12 at the protein level (see below and Figures 2, 3) also adds potentially to the disparity observed in the 16S rRNA gene tree. Nevertheless, S. halophilus demonstrates a position distinct from other cultivated species. Phaeocystidibacter species by comparison show affiliation to Owenweeksia hongkongensis and its relatives.

FIGURE 1
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Figure 1. 16S rRNA gene sequence based BioNJ tree focusing on sequences related to the family Cryomorphaceae and related taxa of the order Flavobacteriales, phylum Bacteroidetes. The tree is a consensus tree generated in IQ-Tree. Bootstrap values converted to a percentile scale are based on 1000 replicates determined using the ultrafast method of Hoang et al. (2018). Only bootstraps exceeding 50% are shown. Color strips indicate location of family-level lineages based on the GTDB framework. Family designations include the GTDB and the revised taxonomy determined in this study. Star symbols located on branches indicate validated described type strains relevant to this study. More detailed information on taxa compared is shown in Table 2 and Supplementary Table S1.

FIGURE 2
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Figure 2. GTDB Bac120 protein set based BioNJ tree focusing on sequences related to the family Cryomorphaceae and related taxa of the order Flavobacteriales, phylum Bacteroidetes. The tree is a consensus tree generated in IQ-Tree. Bootstrap values converted to a percentile scale are based on 200 replicates. Only bootstraps exceeding 50% are shown. Color strips indicate location of family-level lineages based on the GTDB framework. Family designations include the GTDB and the revised taxonomy determined in this study. Star symbols located on branches indicate validated described type strains relevant to this study. More detailed information on taxa compared is shown in Table 2 and Supplementary Table S1.

FIGURE 3
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Figure 3. Concatenated protein based BioNJ tree covering family Cryomorphaceae and related taxa of the order Flavobacteriales and including other taxa of the phylum Bacteroidetes. The protein set used is based 33 proteins covering 7530 amino acid positions designated the DnaA/RpsJ-RplQ/Eno set (see “Materials and Methods” for protein list). The tree is a consensus tree generated in IQ-Tree. Bootstrap values converted to a percentile scale are based on 200 replicates. Only bootstraps exceeding 50% are shown. Color strips indicate location of family-level lineages based on the GTDB framework. Family designations include the GTDB and the revised taxonomy determined in this study. Star symbols located on branches indicate validated described type strains relevant to this study. More detailed information on taxa compared is shown in Table 2 and Supplementary Table S1.

The 16S rRNA gene sequence position of Schleiferia thermophila disagrees with the results from the protein alignments (Figures 2, 3). Though not shown in Figure 1, Thermaurantimonas aggregans also falls into the same lineage as it closely related to S. thermophila (sequence similarity 94%). The data from Figures 2, 3 is consistent with data from GTDB and the whole genome comparisons by García-López et al. (2019). The discrepancy in the 16S rRNA gene tree appears to reflect an aspect of the phylogeny of the Schleiferia clade. Since these taxa derive from thermal hot springs the rates of change in genes and proteins could differ relative to the marine-derived other members of the family Schleiferiaceae.

The family level clades of the Flavobacteriales as designated in GTDB that lack cultivated strains, otherwise formed quite distinct clusters based on 16S rRNA gene sequences including TMED113, BACL11, GCA-002722245, UA16, UBA10066, UBA2798, and PHOS HE-28 (Figure 1). This list is not complete as other minor groups not included lacked 16S rRNA gene sequence information. The UBA10066 clade includes the sequence designated “Agg58” (L10946, DeLong et al., 1993) as mentioned in the introduction.

Protein-Level Phylogenetic Evaluation of Cryomorphaceae-Related Bacteria

A BAC120 protein-alignment tree was used to further investigate the relationships of Cryomorphaceae related taxa. A smaller protein set (designated DnaA/RpsJ-RplQ/Eno) was also tested, essentially as a means to non-orthogonally validate the relations evidenced in the BAC120 tree. This data indicated Cryomorpha ignava, Gem2.bin46, and L. oceani form a common deep cluster or form adjacent deep-branching lineages depending on the tree (Figures 2, 3). The consensus trees indicate Cryomorpha ignava is reliably affiliated with Gem2.bin 46, however, the connection to L. oceani differed between trees. An affiliation is suggested in the DnaA/RpsJ-RplQ/Eno tree (98% bootstrap) but was unsupported in the BAC120 tree. The position of these three taxa again fell adjacent to the PHOS-HE28 clade but were distinct on the basis of bootstrap values and branch distributions, which supports the 16S rRNA gene data. In any case within both protein-based trees these lineages were roughly equidistant to each other and to several other family clades including Crocinitomicaceae, UA16, UBA2798, GCA-002722245, and koll-22. L. oceani having no closely related genomes likely undergoes branch attraction into the Cryomorphaceae sensu stricto with the DnaA/RpsJ-RplQ/Eno protein dataset but as this dataset is expanded the relationship seems to become more ambiguous. Since BAC120 data is eight-fold greater in extent than the DnaA/RpsJ-RplQ/Eno set the BAC120 tree was considered to be more robust for final taxonomic deliberations. Phenotypic comparisons, including mol% G+C were unfortunately not helpful in these considerations due to sparse data, general inactivity in tests but also due to the fact a family level lineage would not be expected to have constrained phenotype range at least for those that are traditionally determined. Fatty acid data composition is quite different while menaquinone content is unknown for Cryomorpha ignava. Fatty acid profiles can also vary considerably between species within family level lineages.

For the other taxa, the affiliations are less complicated. V. serpentipes clustered in the midst of the koll-22 clade in both trees. Closest related MAGs include those from the BRH-c54 clade derived from rock porewater and groundwater, marine subsurface and pelagic zone metagenomes. All within this group have moderate sized genomes of around 3 Mbp and G+C contents of 32–33 mol%. This group exemplifies the habitat diversity that can occur within the family groups examined. Source information is detailed in Supplementary Table S1. S. halophilus is clearly a member of the 1G12 clade being centrally positioned and most closely related to MAGs SAT99, UBA6049, and UBA10426 which represent different genus-level lineages in the GTDB. The 1G12 clade includes 3 clusters that form quite deep-branches in both protein trees. The bootstrap support for the 1G12 clade was very weak (average 30%) in the DnaA/RpsJ-RplQ/Eno tree but was much stronger in the BAC120 tree (96%). Of all Flavobacteriales family level clades, 1G12 is perhaps the least cohesive. More genome data would be useful to confirm the memberships in this group and the overall phylogenetic structure.

Phaeocystidibacter species formed a distinct lineage in family Schleiferiaceae containing Owenweeksia, Schleiferia, Thermaurantimonas and two sub-clusters of MAGs from marine sources. The arrangements of these lineages were reproduced in both protein trees. The affiliation of the moderate thermophiles S. thermophila and Thermaurantimonas aggregata as the outermost members of this clade has strong bootstrap support and is congruent with the GTDB taxonomy and taxonomy based on whole genome comparisons (García-López et al., 2019).

Overall Phylogenetic Structure of the Order Flavobacteriales

The protein trees also have consistent phylogenetic arrangements of 21 known family equivalent groups that GTDB assigns within Flavobacteriales and also reveal a possible 22nd family level member. Crocinitomicaceae is affiliated most closely with UBA10066 in both trees. UA16 is most closely affiliated with PHOS HE-28, UBA2798 and Cryomorphaceae sensu stricto, and L. oceani though the bootstrap support is weak in the BAC120 tree for the overall cluster. The koll-22, 1G12, GCA-002746335, GCA-002722245, and UBA10329 clades cluster together, however, bootstrap analysis does not support any meaningful specific relatedness between the clades since they deeply branch. This group also includes the hot spring MAG J034 (Ward et al., 2019; GCA-003696585.1). Its phylogenetic arrangement potentially suggests it forms another family level lineage. J034 typically branches distantly with the MAG Norp27 that belongs to GTDB placeholder family GCA-002746335. The families Flavobacteriaceae, Weeksellaceae (García-López et al., 2019) UJ101, UBA1820, Blattabacteriaceae, Ichthyobacteriaceae and Schleiferiaceae form a common large clade. The family represented by the xanthid crab (Atergatis reticulatus) gut isolate UJ101 (Yang et al., 2017) happens to be closely related to the species Spongiimonas flava (Yoon et al., 2013) on the basis of 16S rRNA gene sequences (Figure 1). Due to the lack of genome data for Spongiimonas flava and the close relatedness UJ101 has with the family Weeksellaceae (Figures 2, 3) creating a family for this taxon seems premature without additional information. The BACL11, TMED113 and UBA7430 clades also form a common large group – these family placeholder clades include MAGs entirely from seawater metagenomes. A summary of some features of Flavobacteriales named and placeholder families are summarized in Table 2.

TABLE 2
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Table 2. Genomic-level and habitat characteristics of family level lineages of order Flavobacteriales (based on data investigated in this study).

Discussion

One of the main taxonomic issues with the order Flavobacteriales has been the inability to confidently designate family level ranks due to a lack of understanding of its biodiversity and phylogeny. The Cryomorphaceae group with its lack of distinctive phenotypes and sparse descriptions hindered making meaningful taxonomic decisions. The rapid expansion of metagenome information, highly relevant for this group of bacteria was instrumental since the phylogenetic structure becomes much more resolved with the inclusion of MAGs. A number of comparisons were used in this study – 16S rRNA genes, the BAC120 and the DnaA/RpsJ-RplQ/Eno protein sets - all of which largely support the conclusions made here. The BAC120 is a highly suitable standardized protein set and when combined with data analysis as provided by GTDB-tk allows identification of novel taxa. The evaluation of a smaller, more manageable protein set should be taken as a confirmatory approach and that mirrored the phylogenetic structure achieved with the BAC120 set. Bootstrap values for some groups, such as the IG12 clade (Figures 2, 3) are less supported by the reduced information level of the DnaA/RpsJ-RplQ/Eno set. Nevertheless, using these and equivalent datasets complemented by whole genome comparisons will continue to improve the taxonomy considering the continued sequencing of type strains and discovery of new isolates and MAGs filling in remaining taxonomic “gaps.”

The analyses provide evidence for the creation of new families within the order Flavobacteriales and designating Latinized names to placeholder GTDB families. In particular, the data provides evidence that Cryomorpha ignava, the type of family Cryomorphaceae forms a distinct family lineage. Gem2.bin46 a MAG derived from a soda lake located within British Columbia, Canada (Zorz et al., 2019) was the closest relative with genome data. Its membership to the family was confirmed by protein comparisons though additional genome sequences would be useful for further understanding of this family given 16S rRNA gene sequences evidences a rich diversity (Figure 1). The lack of such data leads L. oceani to have a more ambiguous taxonomic situation. Based on the BAC120 tree as well as the more dubious support of 16S rRNA gene sequence data the decision is to place this species into its own family level group. All the other taxa analyzed could be readily inserted into placeholder or named families within the GTDB taxonomy.

Family Cryomorphaceae must be emended to only include the cultivated species Cryomorpha ignava, based on rules 21a, 23a, and 23b of the Bacterial Code (Lapage et al., 1990). Similarly, the deep position of L. oceani leads to the proposal it also forms a clade distinct at the family level and thus it is proposed as the type representative of the family Luteibaculaceae fam. nov. The position of V. serpentipes within the koll-22 placeholder family results in this clade being named Vicingaceae fam. nov. Similarly, S. halophilus represents the family Salibacteraceae fam. nov., which effectively replaces the placeholder term 1G12. Additional isolates and metagenomes with 16S rRNA gene sequences would be ideal to further define the cohesiveness of Salibacteraceae. Since Cryomorphaceae is restricted to Cryomorpha the representation of Cryomorphaceae in the GTDB must also be altered though at this stage does not affect the official nomenclature as such. It is proposed the family Schleiferiaceae be again emended (García-López et al., 2019) here to incorporate common traits of the cultivated members of family and mol% G+C data of its broader membership. To be consistent the family Crocinitomicaceae (Munoz et al., 2016) is similarly emended. Comparative evaluation of genome contents and metabolic prediction for the other placeholder families in relation to families with cultivated taxa is required to realize their taxonomy (Chuvochina et al., 2019) in a more concrete fashion but was not implemented as part of this study.

Taxonomic Consequences

Emended Description of the Family Crocinitomicaceae (Munoz et al., 2016)

As for the current description (Munoz et al., 2016) as well as: gliding motility may occur. Metabolism is chemoorganotrophic and is either strictly aerobic or facultatively anaerobic. May form carotenoids and possess proteorhodopsin. Occur in either freshwater or marine environments and thus salt requirement may occur. Species may have complex growth requirements requiring amino acids, vitamins and other compounds for growth. Major fatty acid is iso-C15:0. The main respiratory lipoquinone is MK6 and/or MK7. The G+C content calculated from available genome species is around 31.4–49.5 mol%.

Includes the genera Crocinitomix (type genus), Brumimicrobium, Fluviicola, Lishizhenia, Putridiphycobacter, Salinirepens, and Wandonia. Also includes the following placeholder genera based on the GTDB: 40-80, SZUA-381, UBA2040, UBA4466, UBA5422, UBA6165, and UBA952.

Emended Description of the Family Cryomorphaceae Bowman et al. (2003)

The genus Cryomorpha remains as the type genus (Bowman et al., 2003). The description of Cryomorphaceae is emended as follows. Gram-negative, non-spore forming, non-flagellated. Gliding motility may occur. Metabolism is strictly aerobic and chemoorganotrophic. Usually strictly halophilic. May form carotenoids and possess proteorhodopsin. Species may have complex growth requirements requiring sea-water salts, amino acids, vitamins and other compounds for growth. Fatty acids are mainly C14–C16 saturated, monounsaturated and 2-hydroxylated branched-chain fatty acids. The G+C content calculated from available genome species is around 39.9–49.3 mol%.

Includes the soda lake derived-MAG Gem2.Bin46 as a genus level lineage.

The genera Owenweeksia, Phaeocystidibacter, Luteibaculum, Salibacter, and Vicingus are excluded from the family Cryomorphaceae on the basis of phylogenetic data.

Emended Description of the Family Schleiferiaceae Albuquerque et al. (2011) emend. García-López et al. (2019)

As described previously (Albuquerque et al., 2011; García-López et al., 2019) and including Gram-negative, non-spore forming, non-flagellated cells. Either non-motile or motile by gliding motility. Taxa can be mesophilic or moderately thermophilic. Metabolism is mostly strictly aerobic and chemoorganotrophic. Oxidase positive. Catalase activity varies. Includes marine and freshwater species thus taxa may or may not require salt for growth. Usually form carotenoids and may possess proteorhodopsin. Species usually have complex growth requirements requiring amino acids, vitamins and other compounds for growth. The major menaquinone present is MK-6. Possess phosphatidylethanolamine. Major fatty acid present is iso-C15:0. The G+C content calculated from available genomes is around 36.5-57.9 mol%. Member genera include Schleiferia, Owenweeksia, Phaeocystidibacter and Thermaurantimonas. The family also includes the following placeholder genera based on the GTDB: TMED14, UBA10364, UBA7878 and UBA3442.

Description of Luteibaculaceae fam. nov.

Lu.te. i.ba. cu.la.ce’ae (L. neut. n. Luteibaculum type genus of the family; -aceae ending to denote a family; N.L. fem. pl. n. Luteibaculaceae, the Luteibaculum family).

Gram-negative, non-spore forming, non-flagellated. Gliding motility may occur. Metabolism is strictly aerobic and chemoorganotrophic. May require salt for growth. May form carotenoids. Species may have complex growth requirements requiring sea-water salts, amino acids, vitamins and other compounds for growth. Fatty acids include iso-C15:0. The G+C content calculated from available genome species is around 40 mol%. The type genus is Luteibaculum.

Description of Vicingaceae fam. nov.

Vi.cing.a ce’ae (L. masc. n. Vicingus type genus of the family; -aceae ending to denote a family; N.L. fem. pl. n. Vicingaceae, the Vicingus family).

Gram-negative, non-spore forming, non-flagellated. Gliding motility may occur. Metabolism is usually strictly aerobic and chemoorganotrophic. Requirement for salt varies. May form carotenoids and possess proteorhodopsin. Member species may have complex growth requirements requiring sea-water salts, amino acids, vitamins and other compounds for growth. The major menaquinones present include MK-7. The G+C content calculated from available genome species is around 31.0–42.8 mol%. The type genus is Vicingus.

The family includes the following placeholder genera based on the GTDB: BRH-c54, GCA-002793235, UBA11591, UBA1494, UBA1494-A, UBA5081, and UBA852.

Description of Salibacteraceae fam. nov.

Sa. li.bac.te.ra.ce’ae (L. masc. n. Salibacter type genus of the family; -aceae ending to denote a family; N.L. fem. pl. n. Salibacter, the Salibacteraceae family).

Gram-negative, non-spore forming, non-flagellated. Metabolism is chemoorganotrophic with growth occurring potentially under both aerobic and anaerobic conditions. Requirement for salt for growth. May form carotenoids and possess proteorhodopsin. Species may have complex growth requirements requiring sea-water salts, amino acids, vitamins and other compounds for growth. The major menaquinones present may include MK-7. The G+C content calculated from available genome species is around 36.0–44.6 mol%. The type genus is Salibacter.

The family includes the following placeholder genera based on the GTDB: GCA-2705995, SHAN690, UBA10426, UBA2108, UBA4419, UBA6049, UBA6057, and UBA6770.

Data Availability Statement

The assemblies and sequences of all genomes obtained in this study have been deposited in the National Center of Biotechnology Information under WGS (BioSample) codes: SETE01 (SAMN10779751), VOOS01 (SAMN12429134), VORB01 (SAMN12423746), WACR01 (SAMN12784467), WBVO01 (SAMN12877559), WBVQ01 (SAMN12877560), and JAAGVY0 (SAMN14069737).

Author Contributions

JB did the research and wrote the manuscript.

Conflict of Interest

The author declares 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

The authors thank the JCM, KCTC, and LMG culture collections for provision of type strain DNA.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.00795/full#supplementary-material

TABLE S1 | Genome data analyzed including the GTDB taxonomy, environmental sources and specific genome details.

Footnotes

  1. ^ https://lpsn.dsmz.de/

References

Abell, G. C., and Bowman, J. P. (2005). Ecological and biogeographic relationships of class Flavobacteria in the Southern Ocean. FEMS Microbiol. Ecol. 51, 265–277. doi: 10.1016/j.femsec.2004.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Aguilo-Ferretjans, M. M., Bosch, R., Martín-Cardona, C., Lalucat, J., and Nogales, B. (2008). Phylogenetic analysis of the composition of bacterial communities in human-exploited coastal environments from Mallorca Island (Spain). Syst. Appl. Microbiol. 31, 231–240. doi: 10.1016/j.syapm.2008.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Akter, S., and Huq, M. A. (2019). Fluviicola chungangensis sp. nov., a bacterium isolated from rice field. Arch. Microbiol. 202, 293–298. doi: 10.1007/s00203-019-01746-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Albuquerque, L., Rainey, F. A., Nobre, M. F., and Costa, M. S. (2011). Schleiferia thermophila gen. nov. sp. nov, a slightly thermophilic bacterium of the phylum ‘Bacteroidetes’ and the proposal of Schleiferiaceae fam. nov. Int. J. Syst. Evol. Microbiol. 61, 2450–2455. doi: 10.1099/ijs.0.028852-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Alonso, C., Warnecke, F., Amann, R., and Pernthaler, J. (2007). High local and global diversity of Flavobacteria in marine plankton. Environ. Microbiol. 9, 1253–1266. doi: 10.1111/j.1462-2920.2007.01244.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Arkin, A. P., Cottingham, R. W., Henry, C. S., Harris, N. L., Stevens, R. L., Maslov, S., et al. (2018). KBase: the United States department of energy systems biology knowledgebase. Nat. Biotechnol. 36:566.

Google Scholar

Bowman, J. P., Nichols, C. M., and Gibson, J. A. (2003). Algoriphagus ratkowskyi gen. nov., sp. nov., Brumimicrobium glaciale gen. nov., sp. nov., Cryomorpha ignava gen. nov., sp. nov. and Crocinitomix catalasitica gen. nov., sp. nov, novel Flavobacteria isolated from various polar habitats. Int. J. Syst. Evol. Microbiol. 53, 1343–1355. doi: 10.1099/ijs.0.02553-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Bowman, J. P. (2015). “Cryomorphaceae”, in Bergey’s Manual of Systematics of Bacteria and Archaea (Hoboken, NJ: Wiley). doi: 10.1002/9781118960608.fbm00068

CrossRef Full Text | Google Scholar

Califano, G., Castanho, S., Soares, F., Ribeiro, L., Cox, C. J., Mata, L., et al. (2017). Molecular taxonomic profiling of bacterial communities in a gilthead seabream (Sparus aurata) hatchery. Front. Microbiol. 8:204. doi: 10.3389/fmicb.2017.00204

CrossRef Full Text | Google Scholar

Campbell, A. M., Fleisher, J., Sinigalliano, C., White, J. R., and Lopez, J. V. (2015). Dynamics of marine bacterial community diversity of the coastal waters of the reefs, inlets, and wastewater outfalls of southeast Florida. MicrobiologyOpen 4, 390–408. doi: 10.1002/mbo3.245

PubMed Abstract | CrossRef Full Text | Google Scholar

Casamayor, E. O., Triadó-Margarit, X., and Castañeda, C. (2013). Microbial biodiversity in saline shallow lakes of the Monegros Desert, Spain. FEMS Microbiol. Ecol. 85, 503–518. doi: 10.1111/1574-6941.12139

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaumeil, P. A., Mussig, A. J., Hugenholtz, P., and Parks, D. H. (2019). GTDB-Tk: a toolkit to classify genomes with the genome taxonomy database. Bioinformatics doi: 10.1093/bioinformatics/btz848 [Epub ahead of print].

CrossRef Full Text | PubMed Abstract | Google Scholar

Chuvochina, M., Rinke, C., Parks, D. H., Rappé, M. S., Tyson, G. W., Yilmaz, P., et al. (2019). The importance of designating type material for uncultured taxa. Syst. Appl. Microbiol. 42, 15–21. doi: 10.1016/j.syapm.2018.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Corsino, S. F., Capodici, M., Di Pippo, F., Tandoi, V., and Torregrossa, M. (2019). Comparison between kinetics of autochthonous marine bacteria in activated sludge and granular sludge systems at different salinity and SRTs. Water Res. 148, 425–437. doi: 10.1016/j.watres.2018.10.086

PubMed Abstract | CrossRef Full Text | Google Scholar

Dahal, R. H., and Kim, J. (2018). Fluviicola kyonggii sp. nov., a bacterium isolated from forest soil and emended description of the genus Fluviicola. Int. J. Syst. Evol. Microbiol. 68, 1885–1889. doi: 10.1099/ijsem.0.002759

PubMed Abstract | CrossRef Full Text | Google Scholar

Delmont, T. O., Eren, A. M., Vineis, J. H., and Post, A. F. (2015). Genome reconstructions indicate the partitioning of ecological functions inside a phytoplankton bloom in the Amundsen Sea, Antarctica. Front. Microbiol. 6:1090. doi: 10.3389/fmicb.2015.01090

PubMed Abstract | CrossRef Full Text | Google Scholar

Delmont, T. O., Hammar, K. M., Ducklow, H. W., Yager, P. L., and Post, A. F. (2014). Phaeocystis antarctica blooms strongly influence bacterial community structures in the Amundsen Sea polynya. Front. Microbiol. 5:646. doi: 10.3389/fmicb.2014.00646

PubMed Abstract | CrossRef Full Text | Google Scholar

DeLong, E. F., Franks, D. G., and Alldredge, A. L. (1993). Phylogenetic diversity of aggregate-attached vs free-living marine bacterial assemblages. Limnol. Oceanogr. 38, 924–934. doi: 10.4319/lo.1993.38.5.0924

CrossRef Full Text | Google Scholar

Dunlap, C. A., Rooney, A. P., and Du, Z. J. (2017). Salibacter halophilus gen. nov., sp. nov., isolated from a saltern. Int. J. Syst. Evol. Microbiol. 67, 1784–1788. doi: 10.1099/ijsem.0.001807

PubMed Abstract | CrossRef Full Text | Google Scholar

Fodelianakis, S., Papageorgiou, N., Pitta, P., Kasapidis, P., Karakassis, I., and Ladoukakis, E. D. (2014). The pattern of change in the abundances of specific bacterioplankton groups is consistent across different nutrient-enriched habitats in Crete. Appl. Environ. Microbiol. 80, 3784–3792. doi: 10.1128/AEM.00088-14

PubMed Abstract | CrossRef Full Text | Google Scholar

García-López, M., Meier-Kolthoff, J. P., Tindall, B. J., Gronow, S., Woyke, T., Kyrpides, N. C., et al. (2019). Analysis of 1000 type-strain genomes improves taxonomic classification of Bacteroidetes. Front. Microbiol. 10:2083. doi: 10.3389/fmicb.2019.02083

PubMed Abstract | CrossRef Full Text | Google Scholar

Gómez-Consarnau, L., Needham, D. M., Weber, P. K., Fuhrman, J. A., and Mayali, X. (2019). Influence of light on particulate organic matter utilization by attached and free-living marine bacteria. Front. Microbiol. 10:1204. doi: 10.3389/fmicb.2019.01204

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoang, D. T., Chernomor, O., von Haeseler, A., Minh, B. Q., and Vinh, L. S. (2018). UFBoot2: improving the ultrafast bootstrap approximation. Mol. Biol. Evol. 35, 518–522. doi: 10.1093/molbev/msx281

PubMed Abstract | CrossRef Full Text | Google Scholar

Iino, T., Kawai, S., Yuki, M., Dekio, I., Ohkuma, M., and Haruta, S. (2020). Thermaurantimonas aggregans gen. nov., sp. nov., a moderately thermophilic heterotrophic aggregating bacterium isolated from microbial mats at a terrestrial hot spring. Int. J. Syst. Evol. Microbiol. 70, 1117–1121. doi: 10.1099/ijsem.0.003888

PubMed Abstract | CrossRef Full Text | Google Scholar

Lapage, S. P., Sneath, P. H. A., Lessel, E. F., Skerman, V. B. D., Seeliger, H. P. R., and Clark, W. A. (1990). International Code of Nomenclature of Bacteria (1990 Revision). Washington, DC: ASM Press.

Google Scholar

Lau, K. W., Ng, C. Y., Ren, J., Lau, S. C., Qian, P. Y., Wong, P. K., et al. (2005). Owenweeksia hongkongensis gen. nov., sp. nov., a novel marine bacterium of the phylum ‘Bacteroidetes’. Int. J. Syst. Evol. Microbiol. 55, 1051–1057. doi: 10.1099/ijs.0.63155-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Lau, K. W., Ren, J., Wai, N. L., Qian, P. Y., Wong, P. K., and Wu, M. (2006). Lishizhenia caseinilytica gen. nov., sp. nov., a marine bacterium of the phylum Bacteroidetes. Int. J. Syst. Evol. Microbiol. 56, 2317–2322. doi: 10.1099/ijs.0.64415-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Le, S. Q., and Gascuel, O. (2008). An improved general amino acid replacement matrix. Mol. Biol. Evol. 25, 1307–1320. doi: 10.1093/molbev/msn067

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, D. H., Choi, E. K., Moon, S. R., Ahn, S., Lee, Y. S., Jung, J. S., et al. (2010). Wandonia haliotis gen. nov., sp. nov., a marine bacterium of the family Cryomorphaceae, phylum Bacteroidetes. Int. J. Syst. Evol. Microbiol. 60, 510–514. doi: 10.1099/ijs.0.012674-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemoine, F., Correia, D., Lefort, V., Doppelt-Azeroual, O., Mareuil, F., Cohen-Boulakia, S., et al. (2019). NGPhylogeny.fr: new generation phylogenetic services for non-specialists. Nucleic Acid Res. 47, W260–W265. doi: 10.1093/nar/gkz303

PubMed Abstract | CrossRef Full Text | Google Scholar

Letunic, I., and Bork, P. (2019). Interactive Tree of Life (iTOL) v4: recent updates and new developments. Nucleic Acid Res. 47, W256–W259. doi: 10.1093/nar/gkz239

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, D. C., Xia, J., Dunlap, C. A., Rooney, A. P., and Du, Z. J. (2017). Salibacter halophilus gen. nov., sp. nov., isolated from a saltern. Int. J. Syst. Evol. Microbiol. 67, 1784–1788.

PubMed Abstract | Google Scholar

Michaud, L., Lo Giudice, A., Mysara, M., Monsieurs, P., Raffa, C., Leys, N., et al. (2014). Snow surface microbiome on the High Antarctic Plateau (DOME C). PLoS One 9:e104505. doi: 10.1371/journal.pone.0104505

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitulla, M., Dinasquet, J., Guillemette, R., Simon, M., Azam, F., and Wietz, M. (2016). Response of bacterial communities from California coastal waters to alginate particles and an alginolytic Alteromonas macleodii strain. Environ. Microbiol. 18, 4369–4377. doi: 10.1111/1462-2920.13314

PubMed Abstract | CrossRef Full Text | Google Scholar

Munoz, R., Rosselló-Móra, R., and Amann, R. (2016). Revised phylogeny of Bacteroidetes and proposal of sixteen new taxa and two new combinations including Rhodothermaeota phyl. nov. Syst. Appl Microbiol. 39, 281–296. doi: 10.1016/j.syapm.2016.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Muramatsu, Y., Takahashi, M., Kamakura, Y., Suzuki, K., and Nakagawa, Y. (2012). Salinirepens amamiensis gen. nov., sp. nov., a member of the family Cryomorphaceae isolated from seawater, and emended descriptions of the genera Fluviicola and Wandonia. Int. J. Syst. Evol. Microbiol. 62, 2235–2240. doi: 10.1099/ijs.0.032029-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., and Minh, B. Q. (2015). IQ-TREE: a fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. Mol. Biol. Evol. 32, 268–274. doi: 10.1093/molbev/msu300

PubMed Abstract | CrossRef Full Text | Google Scholar

Nilsson, L. K. J., Sharma, A., Bhatnagar, R. K., Bertilsson, S., and Terenius, O. (2018). Presence of Aedes and Anopheles mosquito larvae is correlated to bacteria found in domestic water-storage containers. FEMS Microbiol. Ecol. 94:fiy058.

Google Scholar

Oberbeckmann, S., Osborn, A. M., and Duhaime, M. B. (2016). Microbes on a bottle: substrate, season and geography influence community composition of microbes colonizing marine plastic debris. PLoS One 11:e0159289. doi: 10.1371/journal.pone.0159289

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Sullivan, L. A., Fuller, K. E., Thomas, E. M., Turley, C. M., Fry, J. C., and Weightman, A. J. (2004). Distribution and culturability of the uncultivated ‘AGG58 cluster’ of the Bacteroidetes phylum in aquatic environments. FEMS Microbiol. Ecol. 47, 359–370. doi: 10.1016/S0168-6496(03)00300-3

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Sullivan, L. A., Rinna, J., Humphreys, G., Weightman, A. J., and Fry, J. C. (2005). Fluviicola taffensis gen. nov., sp. nov., a novel freshwater bacterium of the family Cryomorphaceae in the phylum ‘Bacteroidetes’. Int. J. Syst. Evol. Microbiol. 55, 2189–2194. doi: 10.1099/ijs.0.63736-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Parks, D. H., Chuvochina, M., Waite, D. W., Rinke, C., Skarshewski, A., Chaumeil, P. A., et al. (2018). Standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36, 996–1004. doi: 10.1038/nbt.4229

PubMed Abstract | CrossRef Full Text | Google Scholar

Parte, A. C. (2018). LPSN — List of Prokaryotic names with Standing in Nomenclature (bacterio.net), 20 years on. Int. J. Syst. Evol. Microbiol. 68, 1825–1829. doi: 10.1099/ijsem.0.002786

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinhassi, J., Sala, M. M., Havskum, H., Peters, F., Guadayol, O., Malits, A., et al. (2004). Changes in bacterioplankton composition under different phytoplankton regimens. Appl. Environ. Microbiol. 70, 6753–6766. doi: 10.1128/aem.70.11.6753-6766.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Seemann, T. (2014). Prokka: rapid prokaryotic genome annotation. Bioinformatics 30, 2068–2069. doi: 10.1093/bioinformatics/btu153

PubMed Abstract | CrossRef Full Text | Google Scholar

Shahina, M., Hameed, A., Lin, S. Y., Lai, W. A., Liu, Y. C., Hsu, Y. H., et al. (2013). Luteibaculum oceani gen. nov., sp. nov., a carotenoid-producing, lipolytic bacterium isolated from surface seawater, and emended description of the genus Owenweeksia Int. J. Syst. Evol. Microbiol. 63, 4765–4770. doi: 10.1099/ijs.0.054635-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Shao, Q., Lin, Z., Zhou, C., Zhu, P., and Yan, X. (2020). Succession of bacterioplankton communities over complete Gymnodinium-diatom bloom cycles. Sci. Total Environ. 709:135951. doi: 10.1016/j.scitotenv.2019.135951

PubMed Abstract | CrossRef Full Text | Google Scholar

Trifinopoulos, J., Nguyen, L.-T., von Haeseler, A., and Minh, B. Q. (2016). W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis. Nucleic Acid Res. 44, W232–W235. doi: 10.1093/nar/gkw256

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X. J., Xu, L., Wang, N., Sun, H. M., Chen, X. L., Zhang, Y. Z., et al. (2019). Putridiphycobacter roseus gen. nov., sp. nov., isolated from Antarctic rotten seaweed. Int. J. Syst. Evol. Microbiol. 70, 648–655. doi: 10.1099/ijsem.0.003809

PubMed Abstract | CrossRef Full Text | Google Scholar

Ward, L. M., Idei, A., Nakagawa, M., Ueno, Y., Fischer, W. W., and McGlynn, S. E. (2019). Geochemical and metagenomic characterization of Jinata Onsen, a proterozoic-analog hot spring, reveals novel microbial diversity including iron-tolerant phototrophs and thermophilic lithotrophs. Microbes Environ. 34, 278–292. doi: 10.1264/jsme2.ME19017

PubMed Abstract | CrossRef Full Text | Google Scholar

Wick, R. R., Judd, L. M., Gorrie, C. L., and Holt, K. E. (2017). Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput. Biol. 13:e1005595. doi: 10.1371/journal.pcbi.1005595

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiese, J., Saha, M., Wenzel-Storjohann, A., Weinberger, F., Schmaljohann, R., and Imhoff, J. F. (2018). Vicingus serpentipes gen. nov., sp. nov., a new member of the Flavobacteriales from the North Sea. Int. J. Syst. Evol. Microbiol. 68, 333–340. doi: 10.1099/ijsem.0.002509

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, H. X., Wang, X., Liu, X. W., Zhang, J., Yang, G. Q., Lau, K. W., et al. (2014). Fluviicola hefeinensis sp. nov., isolated from the wastewater of a chemical factory. Int. J. Syst. Evol. Microbiol. 64, 700–704. doi: 10.1099/ijs.0.056705-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J. A., Yang, S. H., Kim, J., Kwon, K. K., and Oh, H. M. (2017). Comparative genome analysis of the Flavobacteriales bacterium strain UJ101, isolated from the gut of Atergatis reticulatus. J. Microbiol. 55, 583–591. doi: 10.1007/s12275-017-7172-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, S. H., Seo, H. S., Oh, H. M., Kim, S. J., Lee, J. H., and Kwon, K. K. (2013). Brumimicrobium mesophilum sp. nov., isolated from a tidal flat sediment, and emended descriptions of the genus Brumimicrobium and Brumimicrobium glaciale. Int. J. Syst. Evol. Microbiol. 63, 1105–1110. doi: 10.1099/ijs.0.042614-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, J., Jang, J. H., and Kasai, H. (2013). Spongiimonas flava gen. nov., sp. nov., a new member of the family Flavobacteriaceae isolated from an unidentified marine sponge. Antonie van Leeuwenhoek 103, 625–633. doi: 10.1007/s10482-012-9846-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Zäncker, B., Cunliffe, M., and Engel, A. (2018). Bacterial community composition in the sea surface microlayer off the Peruvian coast. Front. Microbiol. 9:2699. doi: 10.3389/fmicb.2018.02699

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, X., Liu, H., Song, L., Zhang, L., Wang, H., Dai, X., et al. (2015). Phaeocystidibacter marisrubri sp. nov., a member of the family Cryomorphaceae isolated from Red Sea sediment. Int. J. Syst. Evol. Microbiol. 65, 2199–2203. doi: 10.1099/ijs.0.000243

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Su, J., Lai, Q., Li, X., Yang, X., Dong, P., et al. (2013). Phaeocystidibacter luteus gen. nov., sp. nov., a member of the family Cryomorphaceae isolated from the marine alga Phaeocystis globosa, and emended description of Owenweeksia hongkongensis. Int. J. Syst. Evol. Microbiol. 63, 1143–1148. doi: 10.1099/ijs.0.030254-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zorz, J. K., Sharp, C., Kleiner, M., Gordon, P. M. K., Pon, R. T., Dong, X., et al. (2019). A shared core microbiome in soda lakes separated by large distances. Nat. Commun. 10:4230. doi: 10.1038/s41467-019-12 195-5

PubMed Abstract | Google Scholar

Keywords: cryomorphaceae, flavobacteriales, bacteroidetes, taxonomy, genomics, Genome Taxonomy Database

Citation: Bowman JP (2020) Out From the Shadows – Resolution of the Taxonomy of the Family Cryomorphaceae. Front. Microbiol. 11:795. doi: 10.3389/fmicb.2020.00795

Received: 24 February 2020; Accepted: 03 April 2020;
Published: 05 May 2020.

Edited by:

Iain Sutcliffe, Northumbria University, United Kingdom

Reviewed by:

Celia Hugo, University of the Free State, South Africa
Jean-Francois Bernardet, INRA Centre Jouy-en-Josas, France
Aharon Oren, Hebrew University of Jerusalem, Israel

Copyright © 2020 Bowman. 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: John P. Bowman, john.bowman@utas.edu.au

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