- Genome report
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Complete genome sequence of Microbulbifer sp. CCB-MM1, a halophile isolated from Matang Mangrove Forest, Malaysia
Standards in Genomic Sciences volume 12, Article number: 36 (2017)
Microbulbifer sp. CCB-MM1 is a halophile isolated from estuarine sediment of Matang Mangrove Forest, Malaysia. Based on 16S rRNA gene sequence analysis, strain CCB-MM1 is a potentially new species of genus Microbulbifer. Here we describe its features and present its complete genome sequence with annotation. The genome sequence is 3.86 Mb in size with GC content of 58.85%, harbouring 3313 protein coding genes and 92 RNA genes. A total of 71 genes associated with carbohydrate active enzymes were found using dbCAN. Ectoine biosynthetic genes, ectABC operon and ask_ect were detected using antiSMASH 3.0. Cell shape determination genes, mreBCD operon, rodA and rodZ were annotated, congruent with the rod-coccus cell cycle of the strain CCB-MM1. In addition, putative mreBCD operon regulatory gene, bolA was detected, which might be associated with the regulation of rod-coccus cell cycle observed from the strain.
Microbulbifer sp. CCB-MM1 is a halophile isolated from an estuarine sediment sample taken from Matang Mangrove Forest, Malaysia. The genus Microbulbifer was proposed by González  with the description of Microbulbifer hydrolyticus which was isolated from marine pulp mill effluent. Microbulbifer are typically found in high-salinity environments including marine sediment , salt marsh , costal soil  as well as mangrove soil . They were known for their capability to degrade a great variety of polysaccharides including cellulose [1, 5], xylan [1, 5, 6], chitin [1, 5, 6], agar [3, 6] and alginate . Microbulbifer strains are potential sources of carbohydrate active enzymes with biotechnological interest. One of the species, Microbulbifer mangrovi had been reported with the ability to degrade more than 10 different polysaccharides .
Polysaccharides have a broad range of industrial applications. The most common storage polysaccharide, starch, can be used as food additives , excipients  and substrates in fermentation process to produce bioethanol . Structural polysaccharides such as cellulose, chitosan and chitin, on the other hand, can be used to develop high-performance materials due to their renewability, biodegradability, biological inertness and low cost [11,12,13]. However, polysaccharides from natural sources are often not suitable for direct application. Chemical modifications involving the reactive groups (carboxyl, hydroxyl, amido, and acetamido groups) on the backbone of polysaccharide are required to alter their chemical and physical properties to suit the application purposes . In the past years, explorations and researches are in favor of enzymatic method using carbohydrate active enzymes . This alternative method offers the advantages of substrate specificity, stereospecificity, and environment friendly . Hence, the discovery of novel carbohydrate active enzymes has great biotechnological interest and Microbulbifer strains are potential sources of these enzymes.
Therefore, we sequenced the genome of Microbulbifer sp. CCB-MM1 with primary objective to identify potential carbohydrate active enzyme coding genes. The genome insights will serve as baseline for downstream analyses including enzyme activity assays and functional elucidation of these genes. To date, there are seven genomes of Microbulbifer publicly available from GenBank, namely Microbulbifer agarilyticus S89 (NZ_AFPJ00000000.1) , Microbulbifer variabilis ATCC 700307T (NZ_AQYJ00000000.1), Microbulbifer elongatus HZ11 (NZ_JELR00000000.1) , Microbulbifer sp. ZGT114 (LQBR00000000.1), Microbulbifer thermotolerans DAU221 (CP014864.1) , Microbulbifer sp. Q7 (LROY00000000.1) and Microbulbifer sp. WRN-8 (LRFG00000000.1). All of the Microbulbifer genomes are assembled to draft assembly only except the Microbulbifer thermotolerans DAU221 genome. Here we present the complete genome of Microbulbifer sp. CCB-MM1 and some insights from comparative analysis with seven other Microbulbifer genomes.
Classification and features
Microbulbifer sp. strain CCB-MM1 was isolated from mangrove sediment obtained from Matang Mangrove Forest. The isolation was done using the method previously described  with the use of H-ASWM (2.4% artificial sea water, 0.5% tryptone, 10 mM HEPES, pH 7.6) . CCB-MM1 is a Gram-negative, aerobic, non-spore-forming and halophilic bacterium (Table 1). Its shape appears to be associated with its growth phases where it is rod-shaped at exponential phase (Fig. 1a) and cocci-shaped at stationary phase (Fig. 1b). The rod-shaped cell size ranges from approximately 1.3 to 2.5 μm in length and 0.3 μm in width while the diameter of coccus cells is approximately 0.6 μm. The colonies observed on agar plate are white in colour, circular, and raised with entire edge.
The 16S rRNA gene sequence of CCB-MM1 was amplified and sequenced using the universal primer pair 27F and 1492R . The 16S rRNA gene sequence analysis was performed by using BLASTN  against NCBI 16S ribosomal RNA (Bacteria and Archaea) database. BLAST report revealed that the closely related strains include Microbulbifer rhizosphaerae Cs16bT (98.1%), Microbulbifer taiwanensis CC-LN1-12T (97.3%), Microbulbifer maritimus TF-17T (97.4%), Microbulbifer pacificus SPO729T (97.3%), and Microbulbifer gwangyangensis GY2T (97.3%). Based on the threshold of Proteobacteria -specific 16S rRNA gene sequence similarity at 98.7% , the analysis suggests that CCB-MM1 is a new species belonging to the genus Microbulbifer . To reconstruct a phylogenetic tree of Microbulbifer , the 16S rRNA sequences of other Microbubifer type strains were downloaded from GenBank. Then, these sequences were aligned using MUSCLE [25, 26] and MEGA6  was used to reconstruct a neighbour-joining tree  with 1000 replications of bootstrap method test . As shown in Fig. 2, CCB-MM1 formed a cluster with M. rhizosphaerae Cs16bT in the phylogenetic tree.
Genome sequencing information
Genome project history
Genome of CCB-MM1 was sequenced in October 2015. The whole genome sequencing and annotation were done by Centre for Chemical Biology (Universiti Sains Malaysia). The complete genome sequence is available in GenBank under the accession number CP014143. The project information is summarized in Table 2.
Growth conditions and genomic DNA preparation
CCB-MM1 was cultured aerobically in 100 mL of H-ASWM for overnight (16 h) at 30 °C with shaking. The genomic DNA was extracted using modified phenol-chloroform method . The integrity of extracted genomic DNA was assessed by gel electrophoresis using 0.7% agarose gel and the quantification was done using NanoDrop 2000 Spectrophotometer (Thermo Scientific, USA).
Genome sequencing and assembly
The whole genome of CCB-MM1 was sequenced using PacBio RS II platform with P6-C4 chemistry (Pacific Biosciences, USA). Two SMRT Cells were used and 2,674,097,380 pre-filter polymerase read bases were obtained, which was approximately 692X coverage of the genome. The reads were assembled using HGAP3 protocol  on SMRT Portal v2.3.0 with reads more than 25,000 bp in length being used as seed bases. The assembly result was a circular chromosome with the size of 3,864,326 bp, average base coverage of 431X and 100% base calling. The assembled sequence was polished twice using the resequencing protocol until the consensus concordance reached 100%.
The genome was annotated using Prokka 1.11 pipeline . The pipeline uses Prodigal , RNAmmer , Aragorn , SignalP  and Infernal  to predict the coding sequences (CDS), ribosomal RNA genes, transfer RNA genes, signal leader peptides and non-coding RNAs, respectively. In addition, the translated CDS output by Prokka were used to BLAST against protein databases including non-redundant protein database (nr) from GenBank, Swiss-Prot and TrEMBL from UniProt , and KEGG database . COG functional categories assignment was done using RPS-BLAST  search against the COG database . In addition, antiSMASH 3.0  was used to identify biosynthetic gene clusters and dbCAN  was used to identify carbohydrate active enzymes.
CCB-MM1 only contains one circular chromosome and no plasmid. The size of the chromosome is 3,864,326 bp with an overall of 58.85% G + C content (Table 3). The complete genome consists of 3313 ORFs, 79 tRNA, 12 rRNA and 1 tmRNA genes. Of all the 3313 predicted ORFs, 2030 of them can be assigned with functional prediction and 2563 of them can be assigned to COG functional categories (Table 4). The circular map of the genome generated using CGView Comparison Tool  is depicted in Fig. 3.
Insights from the genome sequence
There are seven genomes of Microbulbifer strains publicly available in GenBank to date. To assess the relatedness between CCB-MM1 and publicly available Microbulbifer genomes, ANI values between the genomes were calculated using method based on MUMmer alignment . Based on the results (Table 5), the ANI values ranged from 85.58% ( Microbulbifer sp. ZGT114 and Microbulbifer sp. WRN-8) to 83.45% (Microbublfer thermotolerans DAU221). These ANI values fall below 95% , suggesting that CCB-MM1 represents a different species from the other seven sequenced species. Interestingly, the ANI value between genomes of Microbulbifer sp. ZGT114 and Microbulbifer sp. WRN-8 is 99.99%, which suggests that these two strains belong to the same species. The circular map comparing CCB-MM1 genome and seven other Microbulbifer genomes is shown in Fig. 4.
Carbohydrate active enzymes
dbCAN  was used to predict carbohydrate-active enzyme coding genes present in CCB-MM1 genome, particularly genes belonging to glycoside hydrolase and polysaccharide lyase families that could provide us the insights on carbohydrate degrading capability of CCB-MM1. The analysis was done by running HMMER3  scan using HMMs profile downloaded from dbCAN (version: dbCAN-fam-HMMs.txt.v4) with an e-value cut off of 1e-18 and coverage cut off of 0.35. A total of 71 carbohydrate-active genes were detected and further analysis of these genes using SignalP predicted that 25 of them contain signal peptides. As shown in Table 6, we had found 29 genes associated with GH families including GH3, GH5, GH13, GH16, GH20, GH23, GH31, GH38, GH103 and GH130, however, we found no genes associated with PL families in the genome. Annotation of the GH genes revealed that CCB-MM1 genome possesses genes encoding cellulase (GH5), alpha-amylase, pullulanase (GH13) and beta-glucanase (GH16) with potential interest for biotechnological applications. While gene coding for beta-hexosaminidase, one of the chitinolytic enzymes , is present in the genome of CCB-MM1, gene that codes for chitinase was not detected. This suggests that CCB-MM1 lacks the ability to degrade chitin, although further assays are required to confirm the phenotype.
Rod-coccus cell cycle
Microbulbifer were found to demonstrate rod-coccus cell cycle, in association with different growth phases . This cell cycle was also observed in CCB-MM1. In CCB-MM1 genome, we found genes which are known to be involved in determining and maintaining the rod shape of bacteria, including mreBCD  (AUP74_00016, AUP74_00017 and AUP74_00018), rodA  (AUP74_01706) and rodZ  (AUP74_01850). BLAST analysis showed that these genes are present in all other Microbulbifer genomes. In addition, we detected the presence of general stress response gene, bolA, in all Microbulbifer genomes. It has been demonstrated that the overexpression of bolA in E.coli inhibited cell elongation and reduced the transcription of mreBCD operon . The gene, mreB, and its product, actin homolog have been studied for their functions in several species of bacteria. This protein lies beneath the cell surface, forming actin-like cables which function as guidance for the synthesis of longitudinal cell wall . While MreB is not essential in E. coli , it is found to be essential for Streptomyces coelicolor , Rhodobacter sphaeroides  and Bacillus subtilis . In E. coli, depletion of MreB caused cells to change from rod-like to spherical shape but these cells were able to survive . In contrast, the spherical-shaped B. subtilis cells eventually lyse. For CCB-MM1, the spherical-shaped cells do not lyse but grow into rod-shaped again after being transferred into fresh medium. We infer that mreB gene may have important functions in determining Microbulbifer cell shape and the rod-coccus cycle of Microbulbifer is likely regulated by BolA through inhibition of mreB transcription when triggered by stress.
Secondary metabolites, ectoine
Ectoine and hydroxyectoine are compatible solutes found primarily in halophilic bacteria. When triggered by osmotic stress, bacteria produce and accumulate them intracellularly to balance the osmotic pressure . Apart from osmotic stress, they were also protectants against temperature stress . A cluster of genes responsible for the biosynthesis of ectoine  has been identified in CCB-MM1 genome using antiSMASH 3.0 . These genes encode for aspartate kinase (Ask_Ect) (AUP74_00280), L-ectoine synthase (EctC) (AUP74_00281), diaminobutyrate-2-oxoglutarate transaminase (EctB) (AUP74_00282), L-2,4-diaminobutyric acid acetyltransferase (EctA) (AUP74_00283) and HTH transcriptional regulator (AUP74_00284). The lack of the gene ectD, ectoine hydroxylase, in CCB-MM1 genome suggests that it only has the ability to synthesize ectoine but not hydroxyectoine. By using BLASTP, we searched and found similar gene cluster in other Microbulbifer genomes except Microbulbifer variabilis ATCC 700307 T. While the reason for the absence of these genes in Microbulbifer variabilis ATCC 700307 T is unknown, our findings suggest that Microbulbifer utilized only ectoine instead of ectoine/hydroxyectoine mixture. The transcriptional regulator of ectoine operon, EctR, found in Methylophaga thalassica belongs to MarR family . HTH transcriptional regulator (AUP74_00284) in CCB-MM1 also contains the conserved domain of MarR family. This implies that the HTH transcriptional regulator is likely the putative transcriptional regulator of ectoine operon in Microbulbifer . Ectoine has attracted considerable biotechnological interest due to its stabilizing effects that extend from proteins , nucleic acids  to whole cells . Such properties allow it to be used in skin care product as cell protectants , protein stabilizers  and medical application as cryoprotectants in cryopreservation of human cells .
In this study we presented the complete genome sequence of Microbulbifer sp. CCB-MM1 with genome size of 3.86 Mb and G + C content of 58.85%. We discussed some insights on its phenotypic characteristics from the genomic perspective, covering carbohydrate active enzymes, rod-coccus cell cycle and secondary metabolite, ectoine. The genome sequence provides valuable information for functional elucidations of novel enzymes for both biotechnological application and fundamental research purposes.
Average nucleotide identity
Antibiotics & Secondary Metabolite Analysis Shell
Centre for Chemical Biology
Database for automated carbohydrate-active enzyme annotation
High nutrient artificial seawater media
Gonzalez JM, Mayer F, Moran MA, Hodson RE, Whitman WB. Microbulbifer hydrolyticus gen. nov., sp. nov., and Marinobacterium georgiense gen. nov., sp. nov., two marine bacteria from a lignin-rich pulp mill waste enrichment community. Int J Syst Bacteriol. 1997;47:369–76.
Zhang DS, Huo YY, Xu XW, Wu YH, Wang CS, Xu XF, et al. Microbulbifer marinus sp. nov. and Microbulbifer yueqingensis sp. nov., isolated from marine sediment. Int J Syst Evol Microbiol. 2012;62:505–10.
Yoon J-H, Kim I-G, Shin D-Y, Kang KH, Park Y-H. Microbulbifer salipaludis sp. nov., a moderate halophile isolated from a Korean salt marsh. Int J Syst Evol Microbiol. 2003;53:53–7.
Kampfer P, Arun AB, Young CC, Rekha PD, Martin K, Busse HJ, et al. Microbulbifer taiwanensis sp. nov., isolated from coastal soil. Int J Syst Evol Microbiol. 2012;62:2485–9.
Baba A, Miyazaki M, Nagahama T, Nogi Y. Microbulbifer chitinilyticus sp. nov. and Microbulbifer okinawensis sp. nov., chitin-degrading bacteria isolated from mangrove forests. Int J Syst Evol Microbiol. 2011;61:2215–20.
Miyazaki M, Nogi Y, Ohta Y, Hatada Y, Fujiwara Y, Ito S, et al. Microbulbifer agarilyticus sp. nov. and Microbulbifer thermotolerans sp. nov., agar-degrading bacteria isolated from deep-sea sediment. Int J Syst Evol Microbiol. 2008;58:1128–33.
Vashist P, Nogi Y, Ghadi SC, Verma P, Shouche YS. Microbulbifer mangrovi sp. nov., a polysaccharide-degrading bacterium isolated from an Indian mangrove. Int J Syst Evol Microbiol. 2013;63:2532–7.
Jobling S. Improving starch for food and industrial applications. Curr Opin Plant Biol. 2004;7:210–8.
Avérous L, Halley PJ. Starch polymers: from the field to industrial products. In: Avérous L, Halley PJ, editors. Starch polymers. Amsterdam: Elsevier; 2014. p. 3–10.
Bai FW, Anderson WA, Moo-Young M. Ethanol fermentation technologies from sugar and starch feedstocks. Biotechnol Adv. 2008;26:89–105.
Sen G, Sharon A, Pal S. Grafted polysaccharides: smart materials of the future, their synthesis and applications. In: Kalia S, Avérous L, editors. Biopolymers: biomedical and environmental applications. Hoboken: Wiley; 2011. p. 99–127.
Reddy K, Mohan GK, Satla S, Gaikwad S. Natural polysaccharides: versatile excipients for controlled drug delivery systems. Asian J Pharm Sci. 2011;6:275–86.
Tizzotti M, Charlot A, Fleury E, Stenzel M, Bernard J. Modification of polysaccharides through controlled/living radical polymerization grafting—Towards the generation of high performance hybrids. Macromol Rapid Commun. 2010;31:1751–72.
D’Ayala G, Malinconico M, Laurienzo P. Marine derived polysaccharides for biomedical applications: chemical modification approaches. Molecules. 2008;13:2069.
Karaki N, Aljawish A, Humeau C, Muniglia L, Jasniewski J. Enzymatic modification of polysaccharides: mechanisms, properties, and potential applications: a review. Enzym Microb Technol. 2016;90:1–18.
Gübitz GM, Paulo AC. New substrates for reliable enzymes: enzymatic modification of polymers. Curr Opin Biotechnol. 2003;14:577–82.
Oh C, De Zoysa M, Kwon YK, Heo SJ, Affan A, Jung WK, et al. Complete genome sequence of the agarase-producing marine bacterium strain s89, representing a novel species of the genus Alteromonas. J Bacteriol. 2011;193:5538.
Sun C, Chen YJ, Zhang XQ, Pan J, Cheng H, Wu M. Draft genome sequence of Microbulbifer elongatus strain HZ11, a brown seaweed-degrading bacterium with potential ability to produce bioethanol from alginate. Mar Genomics. 2014;18:83–5.
Lee YS, Choi YL. Complete genome sequence of cold-adapted enzyme producing Microbulbifer thermotolerans DAU221. J Biotechnol. 2016;229:31–2.
Dinesh B, Lau N-S, Furusawa G, Kim S-W, Taylor TD, Foong SY, et al. Comparative genome analyses of novel Mangrovimonas-like strains isolated from estuarine mangrove sediments reveal xylan and arabinan utilization genes. Mar Genomics. 2016;25:115–21.
Furusawa G, Lau NS, Shu-Chien AC, Jaya-Ram A, Amirul AAA. Identification of polyunsaturated fatty acid and diterpenoid biosynthesis pathways from draft genome of Aureispira sp. CCB-QB1. Mar Genomics. 2015;19:39–44.
Weisburg WG, Barns SM, Pelletier DA, Lane DJ. 16S ribosomal DNA amplification for phylogenetic study. J Bacteriol. 1991;173:697–703.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10.
Meier-Kolthoff JP, Göker M, Spröer C, Klenk H-P. When should a DDH experiment be mandatory in microbial taxonomy? Arch Microbiol. 2013;195:413–8.
Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–7.
Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinform. 2004;5:113.
Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.
Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25.
Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985;39:783–91.
Fulton J, Douglas T, Young AM. Isolation of viruses from high temperature environments. Methods Mol Biol. 2009;501:43–54.
Chin C-S, Alexander DH, Marks P, Klammer AA, Drake J, Heiner C, et al. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Meth. 2013;10:563–9.
Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–9.
Hyatt D, Chen G-L, LoCascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinform. 2010;11:1–11.
Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–8.
Laslett D, Canback B. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res. 2004;32:11–6.
Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Meth. 2011;8:785–6.
Kolbe DL, Eddy SR. Fast filtering for RNA homology search. Bioinformatics. 2011;27:3102–9.
Bairoch A, Apweiler R, Wu CH, Barker WC, Boeckmann B, Ferro S, et al. The universal protein resource (UniProt). Nucleic Acids Res. 2005;33:154–9.
Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28:27–30.
Marchler-Bauer A, Zheng C, Chitsaz F, Derbyshire MK, Geer LY, Geer RC, et al. CDD: conserved domains and protein three-dimensional structure. Nucleic Acids Res. 2013;41:348–52.
Galperin MY, Makarova KS, Wolf YI, Koonin EV. Expanded microbial genome coverage and improved protein family annotation in the COG database. Nucleic Acids Res. 2014;43:D261–9.
Weber T, Blin K, Duddela S, Krug D, Kim HU, Bruccoleri R, et al. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res. 2015;43:W237–43.
Yin Y, Mao X, Yang J, Chen X, Mao F, Xu Y. dbCAN: a web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2012;40:445–51.
Grant JR, Arantes AS, Stothard P. Comparing thousands of circular genomes using the CGView Comparison tool. BMC Genomics. 2012;13:1–8.
Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci U S A. 2009;106:19126–31.
Kim M, Oh H-S, Park S-C, Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol. 2014;64:346–51.
Eddy SR. Accelerated profile HMM searches. PLoS Comput Biol. 2011;7:e1002195.
Patil RS, Ghormade V, Deshpande MV. Chitinolytic enzymes: an exploration. Enzym Microb Technol. 2000;26:473–83.
Nishijima M, Takadera T, Imamura N, Kasai H, An K-D, Adachi K, et al. Microbulbifer variabilis sp. nov. and Microbulbifer epialgicus sp. nov., isolated from Pacific marine algae, possess a rod–coccus cell cycle in association with the growth phase. Int J Syst Evol Microbiol. 2009;59:1696–707.
Levin PA, Margolis PS, Setlow P, Losick R, Sun D. Identification of Bacillus subtilis genes for septum placement and shape determination. J Bacteriol. 1992;174:6717–28.
Henriques AO, Glaser P, Piggot PJ, Moran CP Jr. Control of cell shape and elongation by the rodA gene in Bacillus subtilis. Mol Microbiol. 1998;28:235–47.
Alyahya SA, Alexander R, Costa T, Henriques AO, Emonet T, Jacobs-Wagner C. RodZ, a component of the bacterial core morphogenic apparatus. Proc Natl Acad Sci U S A. 2009;106:1239–44.
Freire P, Neves Moreira R, Arraiano CM. BolA inhibits cell elongation and regulates MreB expression levels. J Mol Biol. 2009;385:1345–51.
Soufo HJ, Graumann PL. Actin-like proteins MreB and Mbl from Bacillus subtilis are required for bipolar positioning of replication origins. Curr Biol. 2003;13:1916–20.
Kruse T, Bork-Jensen J, Gerdes K. The morphogenetic MreBCD proteins of Escherichia coli form an essential membrane-bound complex. Mol Microbiol. 2005;55:78–89.
Burger A, Sichler K, Kelemen G, Buttner M, Wohlleben W. Identification and characterization of the mre gene region of Streptomyces coelicolor A3(2). Mol Gen Genet. 2000;263:1053–60.
Slovak PM, Wadhams GH, Armitage JP. Localization of MreB in Rhodobacter sphaeroides under conditions causing changes in cell shape and membrane structure. J Bacteriol. 2005;187:54–64.
Jones LJ, Carballido-Lopez R, Errington J. Control of cell shape in bacteria: helical, actin-like filaments in Bacillus subtilis. Cell. 2001;104:913–22.
Kruse T, Moller-Jensen J, Lobner-Olesen A, Gerdes K. Dysfunctional MreB inhibits chromosome segregation in Escherichia coli. EMBO J. 2003;22:5283–92.
Louis P, Galinski EA. Characterization of genes for the biosynthesis of the compatible solute ectoine from Marinococcus halophilus and osmoregulated expression in Escherichia coli. Microbiology. 1997;143:1141–9.
Ofer N, Wishkautzan M, Meijler M, Wang Y, Speer A, Niederweis M, et al. Ectoine biosynthesis in Mycobacterium smegmatis. Appl Environ Microbiol. 2012;78:7483–6.
Peters P, Galinski EA, Trüper HG. The biosynthesis of ectoine. FEMS Microbiol Lett. 1990;71:157–62.
Mustakhimov II, Reshetnikov AS, Fedorov DN, Khmelenina VN, Trotsenko YA. Role of EctR as transcriptional regulator of ectoine biosynthesis genes in Methylophaga thalassica. Biochem Mosc. 2012;77:857–63.
Lippert K, Galinski EA. Enzyme stabilization be ectoine-type compatible solutes: protection against heating, freezing and drying. Appl Microbiol Biotechnol. 1992;37:61–5.
Kurz M. Compatible solute influence on nucleic acids: many questions but few answers. Saline Syst. 2008;4:6.
Graf R, Anzali S, Buenger J, Pfluecker F, Driller H. The multifunctional role of ectoine as a natural cell protectant. Clin Dermatol. 2008;26:326–33.
Lentzen G, Schwarz T. Extremolytes: natural compounds from extremophiles for versatile applications. Appl Microbiol Biotechnol. 2006;72:623–34.
Grein TA, Freimark D, Weber C, Hudel K, Wallrapp C, Czermak P. Alternatives to dimethylsulfoxide for serum-free cryopreservation of human mesenchymal stem cells. Int J Artif Organs. 2010;33:370–80.
Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, et al. The minimum information about a genome sequence (MIGS) specification. Nature Biotechnol. 2008;26:541–7.
Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, bacteria, and Eucarya. Proc Natl Acad Sci U S A. 1990;87:4576–9.
Garrity GM, Bell JA, Lilburn T. Phylum XIV. Proteobacteria phyl. Nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s manual of systematic bacteriology. 2nd Ed. Volume 2, part B. New York: Springer; 2005. p. 1.
Garrity GM, Bell JA, Lilburn T. Class III. Gammaproteobacteria class. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s manual of systematic bacteriology. 2nd Ed. Volume 2, part B. New York: Springer; 2005. p. 1.
Spring S, Scheuner C, Göker M, Klenk H-P. A taxonomic framework for emerging groups of ecologically important marine gammaproteobacteria based on the reconstruction of evolutionary relationships using genome-scale data. Front Microbiol. 2015;6:281.
Oren A, Garrity GM. Validation list no. 164. List of new names and new combinations previously effectively, but not validly, published. Int J Syst Evol Microbiol. 2015;65:2017–25.
Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, et al. Gene ontology: tool for the unification of biology. The Gene ontology consortium. Nat Genet. 2000;25:25–9.
We would like to thank Balachandra Dinesh for isolating Microbulbifer sp. CCB-MM1 and Ka Kei Sam for extracting the genomic DNA. N.-S. Lau and G. Furusawa gratefully acknowledge the post-doctoral fellowships granted by Universiti Sains Malaysia. T.H. Moh also acknowledges the financial support provided by Ministry of Higher Education Malaysia (MOHE) through MyBrain15 MyMaster scholarship.
This work was conducted as part of the mangrove project supported by Research University (RU) mangrove project grant (1001/PCCB/870009) to Centre for Chemical Biology, Universiti Sains Malaysia.
The authors declare that they have no competing interests.
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Moh, T.H., Lau, N., Furusawa, G. et al. Complete genome sequence of Microbulbifer sp. CCB-MM1, a halophile isolated from Matang Mangrove Forest, Malaysia. Stand in Genomic Sci 12, 36 (2017). https://doi.org/10.1186/s40793-017-0248-0
- Complete genome sequence
- Estuarine sediment