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. 2021 Feb 26;7(1):114–123. doi: 10.3934/microbiol.2021008

Genomic information of Kocuria isolates from sake brewing process

Momoka Terasaki 1, Yukiko Kimura 1, Masato Yamada 2, Hiromi Nishida 1,*
PMCID: PMC7921380  PMID: 33659772

Abstract

Bacteria belonging to the genus Kocuria were identified as bacteria peculiar to a sake brewery in Toyama, Japan. Comparison of the 16S rRNA gene sequences revealed two groups of Kocuria isolates. Among known species, one group was similar to K. koreensis (Kk type), and the other, K. uropygioeca (Ku type). We determined complete genomic DNA sequences from two isolates, TGY1120_3 and TGY1127_2, which belong to types Kk and Ku, respectively. Comparison of these genomic information showed that these isolates differ at the species level with different genomic characters. Isolate TGY1120_3 comprised one chromosome and three plasmids, and the same transposon coding region was located on two loci on the chromosome and one locus on one plasmid, suggesting that the genetic element may be transferred between the chromosome and plasmid. Isolate TGY1127_2 comprised one chromosome and one plasmid. This plasmid encoded an identical transposase coding region, strongly suggesting that the genetic element may be transferred between these different isolates through plasmids. These four plasmids carried a highly similar region, indicating that they share a common ancestor. Thus, these two isolates may form a community and exchange their genetic information during sake brewing.

Keywords: bacterial genome, chromosome, horizontal transfer, Kocuria, plasmid, sake brewing, transposon

1. Introduction

Sake is a traditional Japanese alcoholic beverage. During sake brewing, the filamentous fungus Aspergillus oryzae converts rice starch into sugars; then, the yeast Saccharomyces cerevisiae converts the sugars into ethanol [1]. Sake brewing is not performed under completely sterile conditions. Therefore, numerous microorganisms are present at the beginning of the production process. As this process progresses, it gradually becomes suitable for yeast growth; eventually, no microorganisms but yeast persist due to their production of high ethanol concentrations (approximately 20%).

In the past, sake was produced using different S. cerevisiae strains that inhabited each sake brewery, known as kuratsuki yeast [2],[3]. The sake yeast unique to each sake brewery thus influenced production. Currently, many sake breweries produce sake using some selected sake yeasts (Kyokai yeasts) that are managed by the Brewing Society of Japan (Jozo-kyokai) [3],[4]. However, these yeasts were once established in specific sake breweries [3].

A. oryzae and S. cerevisiae are essential for sake production. As additional microorganisms are not added during the production process, any bacterial DNA detected in sake products must come from the bacteria entered during the production process [5],[6]. Highly ethanol-tolerant lactic acid bacteria can spoil sake [7]. This spoilage is prevented using pasteurization, which has been performed since the 16th century in Japan, before Louis Pasteur's invention.

Comparative studies of bacterial DNA sequences in sake have detected diverse types of bacterial DNA, indicating that various bacteria grew during the sake production process [5],[8][12]. Although bacterial DNA is detected in sake products, most bacteria die due to high ethanol concentrations. Thus, no bacteria were isolated from sake products. Therefore, we isolated bacteria from samples of the first mixture (Hatsuzoe) of koji (steamed rice covered with A. oryzae) and moto (fermentation starter including S. cerevisiae) and then identified the isolates. We obtained 46 bacterial isolates from six different Hatsuzoe samples in Brewery Toyama 1 [12].

In our previous study, DNA of the genus Kocuria was detected only in cloudy sake and sake-kasu (sake lees) of Brewery Toyama 1 [12], strongly suggesting that Kocuria may be specific to this sake brewery. In addition, Kocuria DNA was not detected in clear sake from Brewery Toyama 1 [12], indicating that Kocuria cells may be difficult to lyse during sake production. This is consistent with the fact that ethanol does not disrupt Kocuria rhizophila cells [13].

In this study, genomic DNA of the Kocuria isolates from Hatsuzoe of the sake brewery were sequenced and compared.

2. Methods

2.1. Culturing, DNA isolation, and PCR

YPD (20 g/L tryptone, 10 g/L yeast extract, 2.0% glucose) medium and YPD agar plate were used for culturing each isolate. Each isolate was incubated overnight at 37 °C or for 2 days at 30 °C. DNA of each isolate was extracted from the culture (1 mL) and purified using NucleoSpin Tissue (Macherey-Nagel, Düren, Germany). The V3–V4 region of the 16S rRNA gene from each DNA were amplified using the PCR primers, 5′-ATGTGTATAAGAGACAGCCTACGGGNGGCWGCAG-3′ and 5′-TGTATAAGAGACAGGACTACHVGGGTATCTAATCC-3′, which were designed by modification of method of Illumina, San Diego, USA. The PCR products were sequenced using the primer 5′-TGTATAAGAGACAGGACTAC-3′.

2.2. Phylogenetic analysis

A neighbor-joining tree was constructed with 1000 bootstrap replicates using MEGA X [14]. The evolutionary distances were computed using the Maximum Composite Likelihood method [15] and presented in units of the number of base substitutions per site. This analysis involved 14 nucleotide sequences of 16S rRNA gene. All positions containing gaps and missing data were eliminated (complete deletion option). In total, the final 16S rRNA gene dataset revealed 1407 positions.

2.3. Genome sequencing

The genomes of isolates TGY1120_3 and TGY1127_2 were determined using both Nanopore (GridION X5; Oxford, UK) and Illumina (MiSeq; San Diego, CA, USA) DNA sequencers. The hybrid assembly of the two sequence data was performed using Unicycler version 0.4.7 [16] or MaSuRCA version 3.3.3 [17]. Circulation analysis was performed using Circlator [18]. Illumina short reads mapping was performed using BWA version 0.7.17 [19], and then error correction was performed using Pilon version 1.23 [20].

3. Results and discussion

3.1. Isolation of Kocuria living in a sake brewery

In our previous paper [12], we found 46 bacterial isolates from 6 different Hatsuzoe samples from Brewery Toyama 1. Based on the partial 16S rRNA gene sequences, 23, 12, 6, 2, 2, and 1 isolates from 6, 4, 3, 1, 1, and 1 Hatsuzoe samples had similar sequences to the genera Kocuria, Staphylococcus, Bacillus, Leifsonia, Microbacterium, and Enterococcus, respectively [12]. Thus, these genera belong to gram-positive bacteria.

Kocuria isolates were obtained from all 6 Hatsuzoe samples [12]. In addition, DNA from the genus Kocuria was detected in cloudy sake and sake-kasu of the same sake brewery (Brewery Toyama 1), but was not detected in the other breweries [12]. Thus, these Kocuria isolates probably inhabit the sake brewery.

In the traditional sake brewing, non-spoilage lactic acid bacteria that inhabit a sake brewery have been used for preventing growth of other bacteria with lactic acid [9]. Kocuria is a gram-positive coccus, which belongs to actinomycetes [21]. To our knowledge, this is the first report on the isolation of bacteria other than lactic acid bacteria living in a sake brewery.

3.2. Detection of different types of Kocuria

Comparison of the partial 16S rRNA gene sequences revealed two groups of Kocuria isolates (Supplementary File 1). Among 23 Kocuria isolates, the sequences of 5 isolates were identical to the sequence of K. koreensis, and those of 18 isolates were identical to that of K. uropygioeca. The species of K. koreensis and K. uropygioeca are evolutionarily closely related [22],[23]. Here, we termed the 5 and 18 isolates as Kk and Ku types, respectively (Table 1). In Hatsuzoe samples 3, 4, and 6, both types were detected (Table 1), indicating that different types of Kocuria lived in the Hatsuzoe.

Table 1. Kocuria isolates from Hatsuzoe samples.

Hatsuzoe Sampling date Isolate 16S rRNA type
Sample 1 October 23, 2018 LB1023_2 Ku
TGY1023_2 Ku
Sample 2 November 13, 2018 LB1113_2 Ku
MB1113_2 Ku
TGY1113_2 Ku
Sample 3 November 20, 2018 LB1120_1_30 Ku
LB1120_2 Kk
MB1120_1 Ku
TGY1120_1 Ku
TGY1120_3 Kk
Sample 4 November 27, 2018 LB1127_2 Ku
LB1127_3 Kk
MB1127_2 Ku
TGY1127_2 Ku
Sample 5 December 4, 2018 LB1204_1 Ku
Sample 6 December 18, 2018 LB1218_1_15 Ku
LB1218_1_30 Ku
LB1218_2_30 Kk
MB1218_1_15 Ku
MB1218_2_30 Ku
MB1218_5_30 Kk
TGY1218_1_15 Ku
TGY1218_1_30 Ku

Kocuria is a microorganism detected in fermented foods and beverages [24]. These isolates can grow in not only the general bacterial media such as Luria-Bertani and Tryptone, Glucose, and Yeast extract (TGY), but also in marine broth used for culturing marine bacteria [12]. This suggests that these isolates can grow in various environments, including that of the sake production process.

3.3. Kocuria isolates differ at the species level with different genomic characters

We selected randomly two isolates from each type and performed whole-genome DNA sequencing of isolate TGY1120_3 belonging to Kk type and isolate TGY1127_2 belonging to Ku type. Isolate TGY1120_3 had one chromosome (Accession number, AP022830) and three plasmids, pTGY1120_3_1 (AP022831), pTGY1120_3_2 (AP022832), and pTGY1120_3_3 (AP022833); and isolate TGY1127_2 had one chromosome (AP022834) and one plasmid, pTGY1127_2_1 (AP022835) (Table 2). The GC content of each plasmid was lower than that of the host chromosome (Table 2). This bias of GC content is commonly observed between bacterial plasmids and their host chromosomes [25],[26]. Based on gene annotation, isolate TGY1120_3 had 2556 protein-coding genes (including 1036 hypothetical proteins), 48 tRNA-coding genes, and 9 rRNA-coding genes (Table S1). Isolate TGY1127_2 had 2648 protein-coding genes (including 1085 hypothetical proteins), 50 tRNA-coding genes, and 9 rRNA-coding genes (Table S2).

Table 2. DNA size and GC content of chromosomes and plasmids of Kocuria isolates.

Size (nucleotides) GC content (%)
Chromosome of isolate TGY1120_3 2,838,001 64.8
pTGY1120_3_1 32,375 59.6
pTGY1120_3_2 32,277 58.7
pTGY1120_3_3 27,385 58.6
Chromosome of isolate TGY1127_2 2,963,611 60.9
pTGY1127_2_1 33,410 60.3

Based on the phylogenetic tree of complete 16S rRNA gene sequences, isolate TGY1120_3 belongs to K. koreensis and isolate TGY1127_2 belongs to K. uropygioeca, which is consistent with the partial 16S rRNA gene sequence comparison (Figure 1). Thus, these isolates differ at the species level.

Figure 1. Phylogenetic relationships among 16S rRNA gene sequences of the two isolates and related organisms. The neighbor-joining tree was constructed with 1000 bootstrap replicates using MEGA X [14]. The evolutionary distances were computed using the Maximum Composite Likelihood method [15]. All positions containing gaps and missing data were eliminated (complete deletion option). In total, the final dataset contained 1407 positions. The bar indicates a 0.5% difference.

Figure 1.

Not only 16S rRNA gene but also other genomic information differs between TGY1120_3 and TGY1127_2. The genomic information showed that TGY1120_3 and TGY1127_2 have 4 (TGY1120_3_00327, TGY1120_3_02298, TGY1120_3_02384, and TGY1120_3_02479, see Table S1) and 7 (TGY1127_2_00485, TGY1127_2_01264, TGY1127_2_01480, TGY1127_2_01984, TGY1127_2_02447, TGY1127_2_02542, and TGY1127_2_02644, see Table S2) alcohol dehydrogenase homologs. Alcohol dehydrogenase is reported to be associated with ethanol resistance [27],[28]. In addition, although TGY1127_2 has urease complex homologs (gene cluster TGY1127_2_01020 to TGY1127_2_01028, see Table S2), TGY1120_3 lacks them. Urease is reported to be associated with acid resistance [29][32]. It strongly suggests that TGY1127_2 has stronger acid and alcohol resistance than TGY1120_3.

3.4. Distribution of identical transposase genes in Kocuria isolates

Isolate TGY1120_3 had two ISL3 family transposase ISAar30 coding genes (TGY1120_3_00129 and TGY1120_3_00291, see Table S1) on different loci of the chromosome and one (TGY1120_3_02579, see Table S1) on the plasmid pTGY1120_3_2 (Figure 2). The DNA length was 1308 nt, encoding 435 amino acids. These three DNA sequences were identical, strongly suggesting that these regions were recently transferred between the chromosome and plasmid of Kocuria isolate TGY1120_3. The GC content of the ISL3 family transposase ISAar30 cording gene is 69.3%, which is higher than those of the chromosome (64.8%) and the plasmid pTGY1120_3_2 (58.7%) (Table 2). Bacteria have the nucleoid-associated proteins that bind horizontally transferred DNA regions with low GC content rather than the remaining DNA and inhibit expression from those regions [33],[34]. However, to our knowledge, there are no reports of proteins that bind to regions with high GC content and inhibit gene expression. It suggests that this gene may be transferred from bacteria with high GC (approximately 70%) content genome and be active in isolate TGY1120_3. Surprisingly, an identical ISL3 family transposase ISAar30 coding gene (TGY1127_2_02700, see Table S2) also existed on the plasmid pTGY1127_2_1 of isolate TGY1127_2 (Figure 2), strongly indicating that this transposon coding gene was recently transferred between these two Kocuria isolates. To confirm this, it is necessary to show the horizontal transfer of the plasmids between different isolates and the transfer of the transposons in each cell experimentally.

Figure 2. Distribution of identical transposase gene encoding ISL3 family transposase ISAar30 among Kocuria isolates TGY1123_3 and TGY1127_2.

Figure 2.

The Basic Local Alignment Search Tool (BLAST) on the National Center for Biotechnology Information website was used to identify this transposase or its transposase coding region in the international DNA database. The BLAST was performed using the default values. We found no identical 1308-nt DNA sequences, but sequences differing by 1 nt were found in Acidipropionibacterium jensenii FAM 19038 (genomic GC content: 68.7%) and Propionibacterium freudenreichii PFRJS17 (genomic GC content: 67.3%), and a sequence with a 2-nt difference was found in Kocuria palustris MU14/1 (genomic GC content: 70.5%). Although these three genera belong to Actinobacteria, Acidipropionibacterium and Propionibacterium belong to Propionibacteriales whereas Kocuria belongs to Micrococcales, which are not closely evolutionarily related [35]. Acidipropionibacterium and Propionibacterium were not found in any samples from Brewery Toyama 1 [12]. This strongly suggests that this transposable element may be transferred between different bacterial species (genera) in the natural environment.

In isolate TGY1120_3, the other differing transposase coding regions were located on the chromosome (one locus), pTGY1120_3_2 (two loci), and pTGY1120_3_3 (one locus) (Table S1). However, in isolate TGY1127_2, there was no other transposase (Table S2).

3.5. Plasmids have a common ancestor

The three plasmids of isolate TGY1120_3 and the single plasmid of isolate TGY1127_2 had similar DNA sequences (Figure 3), suggesting that these four plasmids share a common ancestor. Thus, plasmid variation occurred in different Kocuria species after common plasmid acquisition. If so, the ISL3 family transposase ISAar30 coding region may exist on the common plasmid. Further research is needed to elucidate the relationships between the plasmids and transposable genetic elements.

Figure 3. Graphic summary of the BLASTn results using the DNA sequence of pTGY1127_2_1 as the query. Red regions indicate high similar regions. Numbers indicate the position at each plasmid DNA sequence.

Figure 3.

In a sake brewing, ethanol produced by sake yeast kills bacteria. Therefore, bacteria may develop a survival strategy. Our findings suggest that Kocuria genome evolution may occur using plasmids and transposons in sake brewing environments.

4. Conclusions

This is the first report of bacteria other than lactic acid bacteria peculiar to a sake brewery (kuratsuki bacteria), which were isolated and subjected to genomic DNA sequencing. Our findings show that the kuratsuki bacterial isolates are not one strain of Kocuria, but several strains, which may form a community and exchange their genetic information between different isolates during the sake production process. Plasmids play an important role in the genetic diversity of Kocuria, suggesting that natural gene manipulation may have occurred in the sake tank during sake production.

Acknowledgments

We thank Hiroshi Toda for valuable comments on Kocuria.

Footnotes

Funding information: This study was supported by a found of university collaboration acceleration project of Toyama Prefecture.

Author contributions: M.T. and Y.K. carried out experiments. M.Y. supplied samples. H.N. made the experimental plan and wrote the paper.

Conflicts of interest: The authors declare that there are no conflicts of interest.

References

  • 1.Kitagaki H, Kitamoto K. Breeding research on sake yeasts in Japan: history, recent technological advances, and future perspectives. Ann Rev Food Sci Technol. 2013;4:215–235. doi: 10.1146/annurev-food-030212-182545. [DOI] [PubMed] [Google Scholar]
  • 2.Akao T, Yashiro I, Hosoyama A, et al. Whole-genome sequencing of sake yeast Saccharomyces cerevisiae Kyokai no. 7. DNA Res. 2011;18:423–434. doi: 10.1093/dnares/dsr029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ohya Y, Kashima M. History, lineage and phenotypic differentiation of sake yeast. Biosci Biotechnol Biochem. 2019;83:1442–1448. doi: 10.1080/09168451.2018.1564620. [DOI] [PubMed] [Google Scholar]
  • 4.Azumi M, Goto-Yamamoto N. AFLP analysis of type strains and laboratory and industrial strains of Saccharomyces cerevisiae stricto and its application to phenetic clustering. Yeast. 2001;18:1145–1154. doi: 10.1002/yea.767. [DOI] [PubMed] [Google Scholar]
  • 5.Terasaki M, Fukuyama A, Takahashi Y, et al. Bacterial DNA detected in Japanese rice wines and the fermentation starters. Curr Microbiol. 2017;74:1432–1437. doi: 10.1007/s00284-017-1337-4. [DOI] [PubMed] [Google Scholar]
  • 6.Akaike M, Miyagawa H, Kimura Y, et al. Chemical and bacterial components in sake and sake production process. Curr Microbiol. 2020;77:632–637. doi: 10.1007/s00284-019-01718-4. [DOI] [PubMed] [Google Scholar]
  • 7.Suzuki K, Asano S, Iijima K, et al. Sake and beer spoilage lactic acid bacteria—a review. J Inst Brew. 2008;114:209–223. [Google Scholar]
  • 8.Bokulich NA, Ohta M, Lee M, et al. Indigenous bacteria and fungi drive traditional kimoto sake fermentations. Appl Environ Microbiol. 2014;80:5522–5529. doi: 10.1128/AEM.00663-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Koyanagi T, Nakagawa A, Kiyohara M, et al. Tracing microbiota changes in yamahai-moto, the traditional Japanese sake starter. Biosci Biotech Biochem. 2016;80:399–406. doi: 10.1080/09168451.2015.1095067. [DOI] [PubMed] [Google Scholar]
  • 10.Tsuji A, Kozawa M, Tokuda K, et al. Robust domination of Lactobacillus sakei in microbiota during traditional Japanese sake starter yamahai-moto fermentation and the accompanying changes in metabolites. Curr Microbiol. 2018;75:1498–1505. doi: 10.1007/s00284-018-1551-8. [DOI] [PubMed] [Google Scholar]
  • 11.Terasaki M, Miyagawa S, Yamada M, et al. Detection of bacterial DNA during the process of sake production using sokujo-moto. Curr Microbiol. 2018;75:874–879. doi: 10.1007/s00284-018-1460-x. [DOI] [PubMed] [Google Scholar]
  • 12.Terasaki M, Nishida H. Bacterial DNA diversity among clear and cloudy sakes, and sake-kasu. Open Bioinfo J. 2020;13:74–82. [Google Scholar]
  • 13.Fujita K, Hagishita T, Kurita S, et al. The cell structural properties of Kocuria rhizophila for aliphatic alcohol exposure. Enzyme Microbial Technol. 2006;39:511–518. [Google Scholar]
  • 14.Kumar S, Stecher G, Li M, et al. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Mol Biol Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Tamura K, Nei M, Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method. Proc Natl Acad Sci USA. 2004;101:11030–11035. doi: 10.1073/pnas.0404206101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wick RR, Judd LM, Gorrie CL, et al. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. Plos Comput Biol. 2017;13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zimin AV, Marçais G, Puiu D, et al. The MaSuRCA genome assembler. Bioinformatics. 2013;29:2669–2677. doi: 10.1093/bioinformatics/btt476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Hunt M, De Silva N, Otto TD, et al. Circlator: automated circularization of genome assemblies using long sequencing reads. Genome Biol. 2015;16:294. doi: 10.1186/s13059-015-0849-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler Transform. Bioinformatics. 2009;25:1754–1760. doi: 10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Walker BJ, Abeel T, Shea T, et al. Pilon: An integrated tool for comprehensive microbial variant detection and genome assembly improvement. Plos One. 2014;9:e112963. doi: 10.1371/journal.pone.0112963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Stackebrandt E, Koch C, Gvozdiak O, et al. Taxonomic dissection of the genus Micrococcus: Kocuria gen. nov., Nesterenkonia gen. nov., Kytococcus gen. nov., Dermacoccus gen. nov., and Micrococcus Cohn 1872 gen. emend. Int J Syst Evol Microbiol. 1995;45:682–692. doi: 10.1099/00207713-45-4-682. [DOI] [PubMed] [Google Scholar]
  • 22.Braun MS, Wang E, Zimmermann S, et al. Kocuria uropygioeca sp. nov. and Kocuria uropygialis sp. nov., isolated from the preen glands of Great Spotted Woodpeckers (Dendrocopos major) Syst Appl Microbiol. 2018;41:38–43. doi: 10.1016/j.syapm.2017.09.005. [DOI] [PubMed] [Google Scholar]
  • 23.Park E-J, Roh SW, Kim M-S, et al. Kocuria koreensis sp. nov., isolated from fermented seafood. Int J Syst Evol Microbiol. 2010;60:140–143. doi: 10.1099/ijs.0.012310-0. [DOI] [PubMed] [Google Scholar]
  • 24.Tamang JP, Watanabe K, Holzapfel WH. Review: Diversity of microorganisms in global fermented foods and beverages. Front Microbiol. 2016;7:377. doi: 10.3389/fmicb.2016.00377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rocha EPC, Danchin A. Base composition bias might result from competition for metabolic resources. Trends Genet. 2002;18:291–294. doi: 10.1016/S0168-9525(02)02690-2. [DOI] [PubMed] [Google Scholar]
  • 26.Nishida H. Comparative analyses of base compositions, DNA sizes, and dinucleotide frequency profiles in archaeal and bacterial chromosomes and plasmids. Int J Evol Biol. 2012;2012:342482. doi: 10.1155/2012/342482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zheng Y, Zhang K, Su G, et al. The evolutionary response of alcohol dehydrogenase and aldehyde dehydrogenase of Acetobacter pasteurianus CGMCC 3089 to ethanol adaptation. Food Sci Biotechnol. 2015;24:133–140. [Google Scholar]
  • 28.Luong TT, Kim E-H, Bak JP, et al. Ethanol-induced alcohol dehydrogenase E (AdhE) potentiates pneumolysin in Streptococcus pneumoniae. Infect Immun. 2015;83:108–119. doi: 10.1128/IAI.02434-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.De Koning-Ward TF, Robins-Browne RM. Contribution of urease to acid tolerance in Yersinia enterocolitica. Infect Immun. 1995;63:3790–3795. doi: 10.1128/iai.63.10.3790-3795.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Weeks DL, Eskandari S, Scott DR, et al. A H+-gated urea channel: the link between Helicobacter pylori urease and gastric colonization. Science. 2000;287:482–485. doi: 10.1126/science.287.5452.482. [DOI] [PubMed] [Google Scholar]
  • 31.Maroncle N, Rich C, Forestier C. The role of Klebsiella pneumoniae urease in intestinal colonization and resistance to gastrointestinal stress. Res Microbiol. 2006;157:184–193. doi: 10.1016/j.resmic.2005.06.006. [DOI] [PubMed] [Google Scholar]
  • 32.Sangari FJ, Seoane A, Rodríguez MC, et al. Characterization of the urease operon of Brucella abortus and assessment of its role in virulence of the bacterium. Infect Immun. 2007;75:774–780. doi: 10.1128/IAI.01244-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Navarre WW, Porwollik S, Wang Y, et al. Selective silencing of foreign DNA with low GC content by the H-NS protein in Salmonella. Science. 2006;313:236–238. doi: 10.1126/science.1128794. [DOI] [PubMed] [Google Scholar]
  • 34.Nishida H. Genome DNA sequence variation, evolution, and function in bacteria and archaea. Curr Issues Mol Biol. 2013;15:19–24. [PubMed] [Google Scholar]
  • 35.Gao B, Gupta RS. Phylogenetic framework and molecular signatures for the main clades of the phylum Actinobacteria. Microbiol Mol Biol Rev. 2012;76:66–112. doi: 10.1128/MMBR.05011-11. [DOI] [PMC free article] [PubMed] [Google Scholar]

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