Complete genome sequencing and comparison of two nitrogen- metabolizing bacteria isolated from Antarctic deep-sea sediment

doi:10.21203/rs.3.rs-1438331/v1

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Research Article

Complete genome sequencing and comparison of two nitrogen- metabolizing bacteria isolated from Antarctic deep-sea sediment

https://doi.org/10.21203/rs.3.rs-1438331/v1

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Background: As global warming brings challenges, carbon neutralization, controlling CO₂ emissions and the carbon peak are receiving increasing attention. The pelagic realm of the dark ocean represents a key site for the remineralization of organic matter, long-term carbon storage and carbon burial in the biosphere. In this paper, we explored the mechanisms of inorganic carbon fixation by deep-sea microorganisms at the genetic level.

Results: In this paper, the basic genomic information of two strains was obtained by whole genome sequencing. The Cobetia amphilecti N-80 genome size is 4,160,095 bp, with a GC content of 62.5%. The Halomonas profundus 13 genome size is 5,251,450 bp, with a GC content of 54.84%. Through a comparison of the genomes and functional analyses, we predicted the C and N metabolic pathways of the two strains and determined that Halomonas profundus 13 can use more carbon sources than Cobetia amphilecti N-80. The main genes associated with N metabolism in Halomonas profundus 13 are narG, narY, narI, nirS, norB, norC, nosZ, and nirD. However, nirD, using NH₄⁺ for energy, plays a main role in Cobetia amphilecti N-80. Cobetia amphilecti N-80 and Halomonas profundus 13 have the same genes for fixing inorganic carbon: icd, ppc, fdhA, accC, accB, accD, and accA.

Conclusion: In this study, the whole genomes of two strains were sequenced to clarify the basic characteristics of their genomes, laying the foundation for further studying nitrogen-metabolizing bacteria. Halomonas profundus 13 can utilize more carbon sources than Cobetia amphilecti N-80, as indicated by API as well as COG and KEGG prediction results. Finally, through the analysis of the nitrification and denitrification abilities as well as the inorganic carbon fixation ability of the two strains, the related genes were identified, and the possible metabolic pathways were predicted. Together, these results provide molecular markers and theoretical support for the mechanisms of inorganic carbon fixation by deep-sea microorganisms.

Cobetia amphilecti

Halomonas profundus

whole genome

nitrification and denitrification

inorganic carbon fixation

The genus Cobetia is classified within the family Halomonadaceae, order Oceanospirillales, and class Gammaproteobacteria within the phylum Proteobacteria. The genus is characterized by gram-negative, straight, rod-shaped cells of 1.6–4.0 by 0.8–1.2 µm that occur singly and in pairs [1]. Some reports have also revealed that members of the genus Cobetia can produce an alkaline phosphatase with unusually high specific activity [2, 3], can synthesize hydroxyectoine under NaCl induction and are tolerant to osmotic stress [4], and have antibiofilm activity [5]. In addition, cloning and expression have been performed for several of its functional genes, such as ectABC and its promotor sequence in Cobetia marina CICC10367 [6], the L-asparaginase gene (CobAsnase) in Cobetia amphilecti AMI6 [7], and alkaline phosphatase in Cobetia marina [8]. Cobetia amphilecti has the ability to remove excess ammonia-N in seawater ponds, removing 61.7% of the total ammonia-N (50 mg/L) in 8 hr. It also boosted the growth of the Pacific white shrimp Litopenaeus vannamei (p < 0.05) at a concentration of 10⁷ CFU/mL, with no harmful effects on the shrimp's immune system [9]. However, no analysis was conducted at the genetic level.

The Halomonas family was described as a new genus by Vreeland in 1980. In 1996, Dobson & Franzmann proposed that members of the genera Deleya, Halomonas, and Halovibrio should be placed in the genus Halomonas within the phylum Proteobacteria. The genus Halomonas was described as a facultative anaerobe with gram-negative, straight or curved rodlike cells [10, 11]. Halomonas is distributed in Lake Pengyanco on the Tibetan Plateau [12], the Bohai Gulf of the Yellow Sea in China [13], the Pentha beach of Odisha in India [14], Urmia Lake in Iran and other places [15]; it grows in Gobi soil [16], salt lake sediment [17], the liquid in the stems of Populus euphratica [18], the rhizosphere sand of a coastal sand dune plant [19] and other environments, with slight or moderate halophily. Among Halomonas sp., Halomonas bluephagenesis is a relatively comprehensively studied species with engineering tools and methods for genetic modification available. Due to its potential for use in contamination treatment, it can be grown under open and continuous processes not only in the lab but also at an at least 1000 L fermentor scale [20]. To date, many studies have explored its potential for the production of L-threonine [21], starch [22], 3-hydroxypropionate [23], functional polyhydroxyalkanoates [24], bioplastic PHB and ectoine [25]. Halomonas can grow under high salt concentrations at alkaline pH and can resist contamination by other microbes, so it has good prospects for various applications.

The characteristics of high pressure and low temperature in the deep ocean are favorable for CO₂ dissolution, and the ocean stores 50 times as much CO₂ as the atmosphere [26]. The ocean determines the concentration of carbon dioxide in the atmosphere over the long term. The traditional view is that marine biological productivity occurs mainly in the euphotic layer, relying on carbon dioxide fixation by light energy autotrophs [27]. Cyanobacteria are the most well-known photoautotrophic organisms in the ocean, and their photoautotrophy has even been proposed as a major carbon pathway [28]. The energy requirements below the euphotic layer are mainly supplied from particulate organic matter input from the euphotic layer, which is mineralized and releases energy in the middle ocean [29]. However, research has found that the input energy of the euphotic layer is less than the energy demand of the lower layer. Moreover, the imbalance in the energy budget within the deep sea becomes increasingly obvious with increasing ocean depth [28–31].

Swan proposed that unidentified prokaryotes fix inorganic carbon at globally significant rates in the immense dark ocean, and their activities may partly reconcile the current discrepancies in the dark ocean’s carbon budget. He also demonstrated potential chemolithoautotrophy in several uncultured Proteobacterial lineages that are ubiquitous in the dark oxygenated ocean [30]. The pelagic realm of the dark ocean was reported to represent a key site for the remineralization of organic matter and for long-term carbon storage and burial in the biosphere [32]. The dark ocean below 200 meters comprises approximately 75% of global oceanic volume and contains more than 98% of the global dissolved inorganic carbon pool [33].

The ocean contains one of the largest microbiomes on Earth, harboring nearly 75% and 50% of global prokaryotic biomass and production, respectively [32, 34]. Therefore, the role of dark ocean microorganisms in carbon sequestration cannot be ignored. Jiao Nianzhi found a new mechanism of marine carbon storage, named the microbial carbon pump (MCP), which is a microbioecological process that converts bioavailable dissolved organic carbon (DOC) into recalcitrant dissolved organic carbon (RDOC) [35]. In this paper, we propose that the basic concept of MCP verifies the fact that more than 95% of organic carbon in the ocean is DOC, and nearly 95% of DOC is RDOC, which is difficult for microorganisms to degrade and can be preserved in the deep sea for thousands of years, constituting the long-term carbon storage of the ocean. However, the output of particulate organic carbon (POC) deposited from the transparent ocean layer to the deep sea is very limited, and the amount of organic carbon reaching the seabed is only approximately 0.1% of marine primary productivity. Most POC is degraded into CO₂ by respiration during deposition [36–38]. Therefore, the role of dark ocean microorganisms in carbon sequestration cannot be ignored. At present, the known marine microorganisms that play an important role in fixing inorganic carbon are Thaumarchaeota [39], Nitrosopumilus maritimus [40], Nitrospira-like bacteria [41], and Nitrospira marina [42]. The fixation of inorganic carbon by these microorganisms is mostly coupled with ammonia oxidation, nitrification and other reactions.

Nitrogen (N) is an abundant element on Earth and is an important building block for organic molecules such as nucleic acids, amino acids, and pigments; it is also the prime nutrient required for organismal growth and is abundant in the ocean [43, 44]. According to the plankton average C/N/P ratio (106:16:1) [45], the nitrogen flux released by downwardly deposited particulate organic matter should be very large [29]. Nitrogen can be ammoniated by microorganisms to produce ammonium. Nonetheless, once ammonium is formed, in the presence of molecular oxygen, it is oxidized by nitrifying bacteria to form nitrite and nitrate [46]. Nitrifying bacteria harvest the chemical energy stored in NH₄⁺ and fix CO₂ to synthesize the organics they need. In the absence of oxygen, NO₃⁻ can be used by many microbes as a respiratory electron acceptor, and at the same time, nitrate reduction is coupled to the anaerobic oxidation of organic carbon [47]. An article reported that ammonia oxidation to nitrite and its subsequent oxidation provided energy to the two populations of nitrifying chemoautotrophs in the energy-starved dark ocean, driving a coupling of reduced inorganic nitrogen pools and the production of new organic carbon in the dark ocean [48]. Current research shows that deep-sea microbial nitrification serves as an important energy source in deep-sea ecosystems by fixing inorganic carbon through chemical energy autotrophy, which even directly affects the food network structure of the deep-sea ecosystem and carbon storage [29, 49]. Therefore, microorganisms can utilize ammonium nitrogen and nitrite oxidation to provide electrons and energy for nitrifying bacteria to fix inorganic carbon, which provides theoretical support for understanding marine carbon storage and enriches the theoretical basis of the nutritional structure in deep-sea ecosystems.

Dissolved organic carbon produced by microorganisms through carbon sequestration can also be further converted into inert dissolved organic carbon by microbial carbon pumps and stored in the deep sea, which can realize the long-term storage of carbon dioxide and influence the carbon flux in the deep sea. In this study, we screened two strains that could grow on both nitrifying and denitrifying medium. We sequenced their whole genomes separately to obtain their basic genomic information for subsequent analysis and to provide a molecular basis for future studies of the two strains. Upon comparing the annotation information and genomic information of the two strains, it is clear that the functional physiological activity of Halomonas profundus 13 is significantly higher than that of Cobetia amphilecti N-80. We found 7 genes related to prokaryotic fixation of inorganic carbon and 5 genes related to nitrification–denitrification in Cobetia amphilecti N-80, whereas there were 8 genes related to prokaryotic fixation of inorganic carbon and 14 genes related to nitrification–denitrification in Halomonas profundus 13. Then, we predicted the relevant metabolic pathways to provide molecular markers and theoretical support for studying biological carbon sequestration in ecosystems.

Isolation and screening of strains

The two strains that were studied in this paper were isolated from deep sea marine sediments collected during the 34th Chinese National Antarctica Expedition. The sampling sites were all in the waters off the Antarctic and the southern end of the Atlantic Ocean in the Scotia Sea. The specific sampling locations for Cobetia amphilecti 80 and Halomonas profundus 13 were 39°48.890'W, 61°50.208'S, water depth 3389 m and 48°45.001'W, 60°10.219'S, water depth 1517 m, respectively. The culturable strains were obtained by using the methods of gradient dilution coating and streaking inoculation from the sediment samples on marine ZoBell 2216E medium (peptone 5 g; yeast extract 1 g; filtered seawater: ultrapure water (v/v) = 2: 1). Then, the bacteria were screened by inoculation in nitrifying medium ((NH₄)₂SO₄ 1 g; CH₃COONa 2.5 g; C₆H₅Na₃O₇ 2.5 g; K₂HPO₄ 0.2 g; MgSO₄ 0.1 g; filtered seawater: ultrapure water (v/v) = 2: 1) and denitrifying medium (KNO₃ 0.61 g; CH₃COONa 2 g; K₂HPO₄ 0.2 g; MgSO₄ 0.05 g; filtered seawater: ultrapure water (v/v) = 2: 1).

DNA extraction and identification

A single colony purified on solid screening medium was inoculated into liquid 2216E medium and cultured at 15°C for 1–2 days. To identify the strains, 16S rRNA gene amplicons were generated by PCR using primers 27F (5’-AGAGTTTGATCCTGGCTCAG-3’) and 1492R (5’-GGTTACCTTGTTACGACTT-3’). The template for 16S rRNA amplification was prepared by immersing 200 µl of bacterial culture solution in boiling water for 10 min and then immediately placing it in an ice box for 5 min. The PCR volume was 50 µL. The following conditions were used for the bacterial 16S rRNA gene amplification: initial denaturation at 94°C, denaturation at 94°C, annealing at 55°C, elongation at 72°C and a final extension step at 72°C. The PCR products were sent to Sangon Biotech for sequencing. Similar sequences were obtained by NCBI BLAST of the sequencing results, and a phylogenetic tree was constructed by MEGA-X. To determine the phylogenetic relationships of each strain, API 20NE (BioMérieux, France) was used to study the physiological and biochemical patterns of the strains, which serves as an identification system for nonfastidious, nonenteric gram-negative rods. Average nucleotide identity (ANI) analysis was conducted on JSpeciesWS (http://jspecies.ribohost.com/jspeciesws/#analyse).

Whole genome sequencing

First, the two strains were enriched and cultured in marine ZoBell 2216E medium and centrifuged to remove the supernatant. Then, the precipitated bacteria were frozen in liquid nitrogen for five minutes and sent to Wuhan Onemore-tech Co., Ltd. for Illumina and Nanopore sequencing. Using BWA (0.7.17-r1198-dirty) software, the Illumina short sequence reads were aligned to the assembled genome to obtain the second-generation sequencing depth statistics. The third-generation sequencing depth statistics were generated by using Minimap 2 (2.17-r974-dirty) to align the long sequences to the assembled genome. We used the Samtools (1.10–71–gb298f29) depth tool to assist with the calculation of the average sequencing depth. A 2,000 bp sliding window was used to determine the read coverage in different regions. Prokka (1.13) software was used to predict the coding genes within the assembled genome. Prodigal (v2.6.3) was used to predict the coding genes, Aragorn (v1.2.38) was used to predict tRNAs, RNAmmer (1.2) was used to predict rRNAs, and Infernal (1.1) was used to predict miscRNAs. The predicted gene elements were summarized, and preliminary annotation was completed. Pseudofinder was then used to detect the pseudogene candidate sequences in annotated GenBank files from bacterial and archaea genomes.

Bioinformatics analysis

To obtain comprehensive gene function information, we annotated the gene functions according to the following eight databases: UniProt, RefSeq, Pfam, NR, TIGERFAMs, GO, KEGG, COG and KEGG Pathway. The predicted gene sequences were compared with COG, KEGG, Swiss-Prot, RefSeq and other functional databases by BLAST+ (2.9.0+) to obtain the gene function annotation results. Gene functions were annotated using HMMER software (3.3.1) based on the Pfam and TIGERFAM databases. The genome circle map was plotted using the R package circlize. Visualization of the genome through these analyses is conducive to exploring and clearly evaluating the relationships among genome components and locations. The relationship between the genomes of the two strains was obtained by BLAST analysis. The results were visualized using TBtools to plot the comparative genomic circos map. Genes related to nitrification and denitrification or to inorganic carbon fixation were found in the KEGG (https://www.kegg.jp/) and GO (http://geneontology.org/) databases. These genes were plotted in a Venn diagram along with the Halomonas profundus 13 and Cobetia amphilecti N-80 gene annotation results to obtain their correlations. Finally, the metabolic pathway maps of the two strains were predicted according to the obtained nitrification and denitrification genes and inorganic carbon fixation-related genes.

Strain properties and phylogeny

We screened two strains that could grow on both nitrifying and denitrifying selective medium, namely, Cobetia amphilecti N-80 and Halomonas profundus 13. Cobetia amphilecti N-80 exhibited optimum growth at 15°C (range, 15–37°C) and 2–12% NaCl (w/v; optimum 4% NaCl), and Halomonas profundus 13 exhibited optimum growth at 37°C (range, 15–37°C) and 2–18% NaCl (w/v; optimum 8% NaCl). The 16S rRNA sequencing results yielded effective fragment lengths of 1300–1400 bp for both strains, which were identified as Cobetia amphilecti and Halomonas profundus according to the similarity via BLAST on NCBI. A phylogenetic tree was constructed based on the 16S rRNA sequences using E. coli as an outgroup genus and with a bootstrap value of 1000 (Fig. 1).

The 16S rRNA of N-80 is highly similar to that of Cobetia amphilecti. Whole-genome sequences of two strains of Cobetia amphilecti have been downloaded on the NCBI, Cobetia amphilecti B2M13 (NZ_JAHKQM000000000) and Cobetia amphilecti KMM296 (NZ_JQJA00000000). We compared the whole-genome sequences of these strains with those of Cobetia amphilecti N-80 and Halomonas profundus 13. ANI analysis showed similarity values of 96.50% (Cobetia amphilecti N-80 and Cobetia amphilecti B2M13) and 96.78% (Cobetia amphilecti N-80 and Cobetia amphilecti KMM296) (Table 1). The results revealed that Cobetia amphilecti N-80 should be considered the same species as Cobetia amphilecti B2M13 and KMM296, as the ANI similarity was greater than 95%. The highest similarity to 13 was found for Halomonas olivaria TYRC17, with a similarity of 87.52%.

When we reviewed the uploaded genomic information of Cobetia amphilecti on NCBI, we found that Cobetia amphilecti KMM296 had 97 scaffolds and Cobetia amphilecti B2M13 had 27 scaffolds. Subsequently, the obtained genomic information of Cobetia amphilecti KMM296 and Cobetia amphilecti B2M13 was compared with that of Cobetia amphilecti N-80, and the results are shown in Table 2. Next, we constructed a phylogenetic tree using the gene-specific oligonucleotide phoD, corresponding to the DNA sequence that encodes an enzyme responsible for important functions of bacterial cells in the genus Cobetia (Fig. 2). It can be concluded that Cobetia amphilecti N-80, Cobetia amphilecti B2M13 and Cobetia amphilecti KMM296 are different strains of the same species. To understand the physiological and biochemical patterns among the strains, API 20NE reagent strips were used to analyze the two strains. The results showed that Cobetia amphilecti N-80 had urea, β-glucosidase, and β-galactosidase. Halomonas profundus 13 tested positively on reduction capacities for nitrate to nitrite or nitrogen and was able to acidify glucose; this strain also contained arginine dihydrolase, urea, β-glucosidase, and β-galactosidase. The carbon sources that could be used were glucose, arabinose, mannitol, maltose, gluconate, capric acid, adipic acid, malic acid, citric acid, and phenylacetic acid.

General features of the genome

The complete genomes of the two strains were sequenced by using Illumina and Nanopore sequencing technology to generate single contigs for each strain. The genomic traits of the two strains can be found in Table 3. The average sequencing depth of Cobetia amphilecti N-80 was 434.58x and 237.11x for the second-generation and third-generation-sequencing, respectively. The average sequencing depth of Halomonas profundus 13 was 308.81x and 188.36x for the second-generation and third-generation sequencing, respectively. The Cobetia amphilecti N-80 genome size is 4,160,095 bp with 62.5% GC content. The Halomonas profundus 13 genome size is 5,251,450 bp with 54.84% GC content. The complete genome sequences of Cobetia amphilecti N-80 and Halomonas profundus 13 were deposited in the NCBI database under accession numbers NC_CP084115 and CP086344. The predicted genome information, such as genome sequencing depth, GC distribution and genome structure annotation, was integrated to draw circular genome maps as shown in Fig. 3 (a) and Fig. 3 (b) for Cobetia amphilecti N-80 and Halomonas profundus 13, respectively.

The genomes were annotated through multiple databases. Of all the genes in the Cobetia amphilecti N-80 and Halomonas profundus 13 genomes, at least 95.89% and 97.11% were annotated. The COG (Cluster of Orthologous Groups of proteins) is a database that classifies possible gene functions. The results of COG annotation for Cobetia amphilecti N-80 and Halomonas profundus 13 are shown in Fig. 4 and showed that C (energy production and conversion), E (amino acid transport and metabolism), and J (translation, ribosomal structure and biogenesis) are the three most abundant gene types in both strains, with more than 200 gene dosages, indicating that these are essential processes closely related to the life activities of these strains. In contrast, there were 68 and 61 more kinds of genes related to G (carbohydrate transport and metabolism) and N (cell motility) in Halomonas profundus 13 than in Cobetia amphilecti N-80.

Based on the whole-genome information, we used KEGG (Kyoto Encyclopedia of Genes and Genomes) to predict the most important cellular processes, environmental information processing, genetic information processing, metabolism, and organismal systems (Fig. 5). The KEGG annotation results show that a large proportion of the annotated genes belong to the function of metabolism, indicated by the blue blocks. Among them, the most genes were related to carbohydrate metabolism and amino acid metabolism. At the same time, we found that Halomonas profundus 13 possessed 109, 94 and 61 more kinds of genes related to carbohydrate metabolism, membrane transport and cellular activity than Cobetia amphilecti N-80. This was consistent with the previous API results. Halomonas profundus 13 could have a stronger ability to use different carbon sources than Cobetia amphilecti N-80.

Functional profiling

To determine the genomic collinearity between the two strains, we compared their genomes using TBtools to visualize the relationships and the location information for similar segments. Comparative genomic circos map of Halomonas profundus 13 and Cobetia amphilecti N-80 were drawn and showed that the two genera are closely related (Fig. 6). The two strains had 494 sequences with high homology (E-value less than 10^− 5). The longest such sequence was 12901 bp, and the shortest one was only 33 bp, but there were relatively few long fragments; only 39.27% of the similar fragments were longer than 1000 bp, and only 3.23% were longer than 3000 bp.

A total of 30 genes related to nitrification and denitrification (N) and 44 genes related to fixing inorganic carbon in prokaryotic carbon fixation (C) were found in the KEGG and GO databases. The annotation information of the Halomonas profundus 13 (4842) and Cobetia amphilecti N-80 (3504) genomes were used together with N (30) and C (44) metabolism-related genes to make the Venn diagram (Fig. 7). Figure 7 shows that Cobetia amphilecti N-80 and Halomonas profundus 13 contain 1964 genes that encode the same proteins, 7 of which are associated with prokaryotic fixation of inorganic carbon, namely, icd, ppc, fdhA, accC, accB, accD, and accA. The smtB gene, associated with prokaryotic fixation of inorganic carbon, was not found in Cobetia amphilecti N-80 and is present in Halomonas profundus 13 alone. No genes associated with nitrification and denitrification were found in Cobetia amphilecti N-80 among two databases, and six were found in Halomonas profundus 13, specifically, narG, narY, narI, nosZ, norB, and norC. In addition, we found five other genes in both Halomonas profundus 13 and Cobetia amphilecti N-80 that might be associated with N metabolism, namely, narT (putative nitrate transporter NarT), narX (nitrate/nitrite sensor protein NarX), narL (nitrate/nitrite response regulator protein NarL), nirQ (denitrification regulatory protein NirQ), and nirD (nitrite reductase (NADH) small subunit). Therefore, in Cobetia amphilecti N-80, there are 7 genes related to prokaryotic fixation of inorganic carbon and 5 genes related to nitrification–denitrification; in comparison, Halomonas profundus 13 contains 8 genes related to prokaryotic fixation of inorganic carbon and 14 genes related to nitrification–denitrification. The positions of these genes are marked in the circos map (Fig. 6). Some genes encoding regulatory proteins related to nitrogen metabolism that are shared by Halomonas profundus 13 and Cobetia amphilecti N-80 are shown in Table 4. Based on the proteins, we predicted the Halomonas profundus 13 (Fig. 8a) and Cobetia amphilecti N-80 (Fig. 8b) nitrification, denitrification pathways and pathways associated with the fixation of inorganic carbon.

Prokaryotes are an essential component of the earth’s biota [50] that populate every habitable environment on Earth and affect the chemistry and physical properties of their surroundings through their metabolic activity [51]. Thus, microbes are dominant drivers of biogeochemical processes [52] and have probably even determined the basic composition of Earth’s atmosphere since the origin of life [53]. The ocean microbiome is a highly dilute microbial system that covers the majority of the Earth’s surface and extends an average of 3600 m down to the seafloor [54]. These ocean microbes are responsible for half of all primary production occurring on Earth [38] and play key roles in ocean carbon and nutrient cycling [52, 55].

Identification of phoD protein and ANI

We identified strain 80 as Cobetia amphilecti using 16S rRNA sequencing. However, species identification within this clade is complicated due to the high level of identity of their 16S rRNA genes. Noskova suggested that gene-specific oligonucleotides corresponding to the coding sequences for factors with vital bacterial cell functions, such as EEP-like and DNA/RNA nonspecific nucleases, the alkaline phosphatases PhoA and PhoD, Cpl and Do/DeqQ family proteases, and phospholipase A1, may be used for the rapid molecular differentiation of closely related species of the marine bacterial genus Cobetia [56]. However, of these, we found only the gene segment 641535–643262 encoding alkaline phosphatase D in Cobetia amphilecti N-80. Five gene segments encoding alkaline phosphatases were found in Cobetia amphilecti B2M13, of which segment 60707–62302 encodes an alkaline phosphatase D family protein, one segment encodes an alkaline phosphatase, and three others encode alkaline phosphatase family proteins. Five segments of genes encoding alkaline phosphatase were also identified in Cobetia amphilecti KMM296, of which segment 55751–57346 encodes an alkaline phosphatase D family protein, one segment encodes an alkaline phosphatase, and three others encode alkaline phosphatase family proteins. We constructed a phylogenetic evolutionary tree using an oligonucleotide specific to the phoD gene (Fig. 2). Figure 2 shows that Cobetia amphilecti N-80 is not closely related to either Cobetia amphilecti B2M13 or Cobetia amphilecti KMM296 but is more closely related to the others. All of the above shows that Cobetia amphilecti N-80 still has some differences from the other strains in its phoD gene, although their 16S rRNA genes are extremely similar. To further determine the species identity of strain 80, we performed ANI analysis (Table 1) on the whole-genome sequences of the three strains. The results were more than 95%, which further confirmed that N-80 belonged to Cobetia amphilectI. Thus, we provided another complete genomes for Cobetia amphilecti.

Comparison of the two strains

As two strains of different genera and different species, Halomonas profundus 13 and Cobetia amphilecti N-80 have great differences at the genetic level, but there are still many similarities. In the phylogenetic tree, we can see that Cobetia amphilecti N-80 is also closely related to the Halomonas genus, which may be because Halomonas and Cobetia were previously considered the same genus. The 16S rRNA sequence similarity of Halomonas marina with any of the Halomonadaceae species was always below 95%, which is the limit generally accepted for genus delimitation. Therefore, they were isolated as a new genus called Cobetia in 2002 [1]; however, they are still highly similar to some other Halomonas species. It is also evident that Halomonas profundus 13 and Cobetia amphilecti N-80 share many genes, as shown in both the circos diagram (Fig. 6) and the Venn diagram (Fig. 7). There was also a high level of consistency in the genes involved in inorganic carbon fixation and nitrogen metabolism (Fig. 8). It can be seen from the COG (Fig. 4) and KEGG (Fig. 5) annotations that most genes were greater in number in Halomonas profundus 13 than in Cobetia amphilecti N-80, which may be because the larger genome of Halomonas profundus 13 contains more genes. From the difference between the two figures, the number of genes involved in essential metabolism (G in Fig. 4, carbohydrate metabolism and membrane transport in Fig. 5) and cellular activity (N in Fig. 4, cellular activity in Fig. 5) is far greater in Halomonas profundus 13 than in Cobetia amphilecti N-80.

At present, only one study related to Halomonas profundus is on polyhydroxyalkanoate production, and that study also clearly shows that the strain can use a wide variety of carbon sources [57]. However, there are many studies on nitrification and denitrification in the genus Halomonas. Four genes related to aerobic denitrification were reported in the genome of Halomonas campisalis ha3: napA (encoding periplasmic nitrate reductase), nirS (encoding nitrite reductase), norB (encoding nitric oxide reductase) and nosZ (encoding nitrous oxide reductase) [58], and the genome of Halomonas sp. strain B01 contains genes encoding ammonia monooxygenase (amoA) and nitrate reductase (narH) [59]. The related genes that we found in Halomonas profundus 13 are narG, narY, narI, nirS, norB, norC, and nosZ, as well as some regulatory proteins related to nitrogen metabolism, narT, narX, narL, nirQ, and nirD. Species within this genus can generally grow at concentrations of 1–12% NaCl, and the most salt-tolerant of these species is Halomonas icarae D1-1^T [14], which can grow in 24% NaCl. The optimum NaCl concentration is generally 3–8%, with the highest optimum of 10% for Halomonas pellis L5^T [13–17, 60, 61]. Due to its halophily, this genus has good potential for application in nitrogen removal from wastewater. A novel moving-bed biofilm reactor constructed by inoculation with heterotrophic nitrifying–aerobic nitrifying bacteria, was proposed to dispose of high ammonia nitrogen wastewater [62], and species within this genus with nitrification and denitrification abilities can be applied to biotreatment of hypersaline wastewater [63]. Halomonas profundus 13 is a weak halophile, growing at NaCl concentrations ranging from 2–18% (optimum 8%, w/v), and can use more carbon sources. Therefore, it has a certain research value and application potential.

The previous studies of Cobetia amphilecti focused solely on Cobetia amphilecti KMM296 and reported on a novel alkaline phosphatase/phosphodiesterase [2], and its antibiofilm activity and biopreservative effect on meat products [64]. However, sequences for both Cobetia amphilecti B2M13 and Cobetia amphilecti KMM296 were found in NCBI. The GC contents of Cobetia amphilecti N-80, Cobetia amphilecti B2M13 and Cobetia amphilecti KMM296 are all 62.5%. However, the genome assembly lengths of Cobetia amphilecti N-80, Cobetia amphilecti B2M13 and Cobetia amphilecti KMM296 are 4.16 Mb, 4.29 Mb, and 3.97 Mb, with 1, 27, and 97 scaffolds, respectively. Cobetia amphilecti N-80 is more studied than Halomonas profundus 13 and has been shown to possess ammonia-N degrading [65], a novel glutaminase-free L-asparaginase [66], antibiofilm activity and biopreservative effects on meat products [67], bacteriocinogenic potential [68] and so on. This may be due to the wider distribution of Cobetia amphilecti N-80, which is found in seawater culture ponds [65], mangrove sediments [66], ready-to-cook meats [67], ecosystems within the Sea of Japan [68] and elsewhere. However, there are no detailed reports on its nitrification and denitrification abilities. We found that nirD can directly use NH₄⁺ to generate energy and that there are additional related regulatory factors, such as narT, narX, narL, and nirQ, in Cobetia amphilecti N-80. It is interesting that no complete denitrification pathway has been found in Cobetia amphilecti N-80 even though this species can survive in denitrification medium. We speculate that this may be associated with SO₄²⁻ [69]. Through the gene function annotation information, we found that the genes related to assimilatory sulfate reduction in Cobetia amphilecti N-80 were cysNC, cysN, cysD, cysH, cysJ, and sir, and the genes encoding sulfate/thiosulfate transport system proteins were cysA, cysW, and cysP. This suite of genes helps the microorganisms to transport extracellular SO₄⁻ into the cell. The growth of Cobetia amphilecti N-80 in denitrification medium may be enabled by the assimilatory sulfate reduction pathway, which also mediates C, N and S circulation in the deep sea. Alternatively, this species may possess other new denitrification pathways that have not been found, or it may possess both sulfate reduction and novel denitrification pathways.

Deep-sea microorganisms can fix CO₂ and other inorganic carbon in the deep sea to synthesize organic matter, provide energy for other organisms, and promote the storage of marine carbon pools. At the same time, biochemical processes such as synthesis and metabolism affect the coupling of the biogeochemical cycles of multiple elements in the deep sea. The ocean represents a major reservoir of nitrogen and sulfur on Earth. Both sulfur and nitrogen must be assimilated into organic metabolites [43, 70]. While nitrogen is mainly used for structural macromolecules, sulfur plays critical roles in the catalytic or electrochemical functions of biomolecules in cells [71]. Cobetia amphilecti N-80 may play a role in the C, N and S cycles of the ocean, which is worth further study.

In this study, two strains with nitrification and denitrification abilities were isolated from the marine sediments obtained in the sea area near Antarctica. After identifying the species of the two strains, the whole genomes of the two strains were sequenced, and the basic characteristics of their genomes were determined. The complete genome sequence for Cobetia amphilecti was provided and filled a gap among Halomonas profundus genome sequences, which lays the foundation for further studies on these two species. Halomonas profundus 13 can utilize more carbon sources than Cobetia amphilecti N-80, as indicated by the API results as well as COG and KEGG prediction results. Finally, by analyzing the strains’ nitrification and denitrification abilities as well as their ability to fix inorganic carbon, the relevant metabolic pathways of both strains were predicted. We found 7 genes related to prokaryotic fixation of inorganic carbon and 5 genes related to nitrification–denitrification in Cobetia amphilecti N-80 and 8 genes related to prokaryotic fixation of inorganic carbon and 14 genes related to nitrification–denitrification in Halomonas profundus 13. Both Halomonas profundus 13 and Cobetia amphilecti N-80 can provide electrons and energy for their own fixation of inorganic carbon through their own nitrogen metabolism. This study provides molecular markers and theoretical support for the study of the C and N cycles involving microorganisms in the ocean and provides two new strains for carbon storage and utilization.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and materials

The datasets analysed during the current study are available in the NCBI repository, accession numbers: NC_CP084115 for Cobetia amphilecti N-80, complete genome; CP086344 for Halomonas profundus 13, complete genome.

Competing interests

We declare no competing interests.

Funding

This work was financially supported by GEF-FAO Project: Demonstration of Estuarine Biodiversity Conservation, Restoration and Protected Area Networking in China (GCP/CPR/045/GFF), Chinese National Natural Science Foundation (Grant No: 41006102).

Authors' contributions

Authors Wenqi Liu and Bailin Cong conceived and designed the study. Linlin Zhao coordinated the whole genome sequencing and analyses. Wenqi Liu wrote most of the manuscript with major review and editing by Bailin Cong. Shenghao Liu contributed to critically reviewing the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Arahal DR, Castillo AM, Ludwig W, Schleifer KH, Ventosa A: Proposal of Cobetia marina gen. nov., comb. nov., within the Family Halomonadaceae, to Include the Species Halomonas marina. Systematic and Applied Microbiology 2002, 25(2):207–211.
Noskova Y, Likhatskaya G, Terentieva N, Son O, Tekutyeva L, Balabanova L: A Novel Alkaline Phosphatase/Phosphodiesterase, CamPhoD, from Marine Bacterium Cobetia amphilecti KMM 296. Marine drugs 2019, 17(12):657.
Golotin V, Balabanova L, Likhatskaya G, Rasskazov V: Recombinant production and characterization of a highly active alkaline phosphatase from marine bacterium Cobetia marina. Marine biotechnology (New York, NY) 2015, 17(2):130–143.
Lang Y, Ren Y, Bai L, Zhang L: [Hydroxyectoine synthesis and release under osmotic shock in Cobetia marina CICC10367]. Wei sheng wu xue bao = Acta microbiologica Sinica 2009, 49(12):1590–1595.
Trentin DS, Gorziza DF, Abraham WR, Antunes AL, Lerner C, Mothes B, Termignoni C, Macedo AJ: Antibiofilm activity of Cobetia marina filtrate upon Staphylococcus epidermidis catheter-related isolates. Brazilian journal of microbiology: [publication of the Brazilian Society for Microbiology] 2011, 42(4):1329–1333.
Chen Q, Zhang LH, Liu YY, Lang YJ: Expression of the Genes Encoding Ectoine Synthases from Cobetia marina CICC10367 in E. coli BL21. Advanced Materials Research 2012, 573–574:1112–1116.
Farahat MG, Amr D, Galal A: Molecular cloning, structural modeling and characterization of a novel glutaminase-free L-asparaginase from Cobetia amphilecti AMI6. International journal of biological macromolecules 2020, 143:685–695.
Nasu E, Ichiyanagi A, Gomi K: Cloning and expression of a highly active recombinant alkaline phosphatase from psychrotrophic Cobetia marina. Biotechnology letters 2012, 34(2):321–328.
Lv N, Pan L, Zhang J, Li Y, Zhang M: A novel micro-organism for removing excess ammonia-N in seawater ponds and the effect of Cobetia amphilecti on the growth and immune parameters of Litopenaeus vannamei. Journal of the World Aquaculture Society 2019, 50(2):448–459.
Vreeland R, Litchfield C, Martin E, Elliot E: Halomonas elongata, a New Genus and Species of Extremely Salt-Tolerant Bacteria. International Journal of Systematic Bacteriology 1980, 30:485–495.
DOBSON SJ, FRANZMANN PD: Unification of the Genera Deleya (Baumann et al. 1983), Halomonas (Vreeland et al. 1980), and Halovibrio (Fendrich 1988) and the Species Paracoccus halodenitrificans (Robinson and Gibbons 1952) into a Single Genus, Halomonas, and Placement of the Genus Zymobacter in the Family Halomonadaceae. International journal of systematic and evolutionary microbiology 1996, 46(2):550–558.
Lu H, Xing P, Zhai L, Li H, Wu Q: Halomonas montanilacus sp. nov., isolated from hypersaline Lake Pengyanco on the Tibetan Plateau. International journal of systematic and evolutionary microbiology 2020, 70(4):2859–2866.
Zhao H, Wang C, Tian Y, Zhang Y, Wu Y, Zhang Y, Du Z, Li B, Ji X: Halomonas marinisediminis sp. nov., A Moderately Halophilic Bacterium Isolated from the Bohai Gulf. Current microbiology 2020, 77(11):3773–3779.
Pandiyan K, Kushwaha P, Bagul SY, Chakdar H, Madhaiyan M, Krishnamurthi S, Kumar P, Karthikeyan N, Singh A, Kumar M et al: Halomonas icarae sp. nov., a moderately halophilic bacterium isolated from beach soil in India. International journal of systematic and evolutionary microbiology 2021, 71(1).
Khan SA, Zununi Vahed S, Forouhandeh H, Tarhriz V, Chaparzadeh N, Hejazi MA, Jeon CO, Hejazi MS: Halomonas urmiana sp. nov., a moderately halophilic bacterium isolated from Urmia Lake in Iran. International journal of systematic and evolutionary microbiology 2020, 70(4):2254–2260.
Xiao Z, Shen J, Wang Z, Dong F, Zhao JY: Halomonas bachuensis sp. nov., Isolated from Gobi Soil. Current microbiology 2021, 78(1):397–402.
Ming H, Ji WL, Li M, Zhao ZL, Cheng LJ, Niu MM, Zhang LY, Wang Y, Nie GX: Halomonas lactosivorans sp. nov., isolated from salt-lake sediment. International journal of systematic and evolutionary microbiology 2020, 70(5):3504–3512.
Chen C, Anwar N, Wu C, Fu G, Wang R, Zhang C, Wu Y, Sun C, Wu M: Halomonas endophytica sp. nov., isolated from liquid in the stems of Populus euphratica. International journal of systematic and evolutionary microbiology 2018, 68(5):1633–1638.
Kämpfer P, Rekha PD, Busse HJ, Arun AB, Priyanka P, Glaeser SP: Halomonas malpeensis sp. nov., isolated from rhizosphere sand of a coastal sand dune plant. International journal of systematic and evolutionary microbiology 2018, 68(4):1037–1046.
Chen X, Yu L, Qiao G, Chen GQ: Reprogramming Halomonas for industrial production of chemicals. Journal of industrial microbiology & biotechnology 2018, 45(7):545–554.
Du H, Zhao Y, Wu F, Ouyang P, Chen J, Jiang X, Ye J, Chen GQ: Engineering Halomonas bluephagenesis for L-Threonine production. Metabolic engineering 2020, 60:119–127.
Lin Y, Guan Y, Dong X, Ma Y, Wang X, Leng Y, Wu F, Ye JW, Chen GQ: Engineering Halomonas bluephagenesis as a chassis for bioproduction from starch. Metabolic engineering 2021, 64:134–145.
Jiang XR, Yan X, Yu LP, Liu XY, Chen GQ: Hyperproduction of 3-hydroxypropionate by Halomonas bluephagenesis. Nature communications 2021, 12(1):1513.
Yu LP, Yan X, Zhang X, Chen XB, Wu Q, Jiang XR, Chen GQ: Biosynthesis of functional polyhydroxyalkanoates by engineered Halomonas bluephagenesis. Metabolic engineering 2020, 59:119–130.
Ma H, Zhao Y, Huang W, Zhang L, Wu F, Ye J, Chen GQ: Rational flux-tuning of Halomonas bluephagenesis for co-production of bioplastic PHB and ectoine. Nature communications 2020, 11(1):3313.
Falkowski P, Scholes RJ, Boyle E, Canadell J, Canfield D, Elser J, Gruber N, Hibbard K, Högberg P, Linder S et al: The Global Carbon Cycle: A Test of Our Knowledge of Earth as a System. Science 2000, 290(5490):291–296.
Giorgio PD, Duarte CM: Respiration in the open ocean. Nature 2002, 420(6914):379–384.
Karl DM, Knauer GA, Martin JH, Ward BB: Bacterial chemolithotrophy in the ocean is associated with sinking particles. Nature 1984, 309:54–56.
Yan W, Jiapeng W, Yiguo H: Microbial nitrification coupled to the hemoautotrophic carbon fixation in the deep ocean. Chinese Journal of Nature 2016, 38(02):109–115.
Swan BK, Martinez-Garcia M, Preston CM, Sczyrba A, Woyke T, Lamy D, Reinthaler T, Poulton NJ, Masland EDP, Gomez ML et al: Potential for Chemolithoautotrophy Among Ubiquitous Bacteria Lineages in the Dark Ocean. Science 2011, 333(6047):1296–1300.
Baltar F, Arístegui J, Gasol JM, Sintes E, Herndl GJ: Evidence of prokaryotic metabolism on suspended particulate organic matter in the dark waters of the subtropical North Atlantic. Limnology & Oceanography 2015, 54(1):182–193.
Arístegui J, Gasol JM, Duarte CM, Herndld GJ: Microbial oceanography of the dark ocean's pelagic realm. Limnology and Oceanography 2009, 54(5):1501–1529.
Reinthaler T, van Aken HM, Herndl GJ: Major contribution of autotrophy to microbial carbon cycling in the deep North Atlantic’s interior. Deep Sea Research Part II: Topical Studies in Oceanography 2010, 57(16):1572–1580.
Pachiadaki MG, Sintes E, Bergauer K, Brown JM, Record NR, Swan BK, Mathyer ME, Hallam SJ, Lopez-Garcia P, Takaki Y et al: Major role of nitrite-oxidizing bacteria in dark ocean carbon fixation. Science 2017, 358(6366):1046–1051.
Jiao N, Herndl GJ, Hansell DA, Benner R, Kattner G, Wilhelm SW, Kirchman DL, Weinbauer MG, Luo T, Chen F et al: Microbial production of recalcitrant dissolved organic matter: long-term carbon storage in the global ocean. Nature reviews Microbiology 2010, 8(8):593–599.
Arístegui, Javier, Gasol, Josep M, Duarte, Carlos M, Herndl, Gerhard J: Microbial oceanography of the dark ocean's pelagic realm. Limnology & Oceanography 2009, 54(5):1501–1529.
Ducklow H: Upper Ocean Carbon Export and the Biological Pump. Oceanography 2001, 14:50–54.
Hansell D, Carlson C, Repeta D, Schlitzer R: Dissolved Organic Matter in the Ocean: A Controversy Stimulates New Insights. Oceanography 2009, 22(4):202–211.
Karner MB, DeLong EF, Karl DM: Archaeal dominance in the mesopelagic zone of the Pacific Ocean. Nature 2001, 409(6819):507–510.
Meador TB, Schoffelen N, Ferdelman TG, Rebello O, Khachikyan A, Könneke M: Carbon recycling efficiency and phosphate turnover by marine nitrifying archaea. Science advances 2020, 6(19):1799.
Daims H, Nielsen JL, Nielsen PH, Schleifer KH, Wagner M: In situ characterization of Nitrospira-like nitrite-oxidizing bacteria active in wastewater treatment plants. Applied and environmental microbiology 2001, 67(11):5273–5284.
Watson SW, Bock E, Valois FW, Schlosser WU: Nitrospira marina gen. nov. sp. nov.: a chemolithotrophic nitrite-oxidizing bacterium. Archives of Microbiology 1986, 144:1–7.
Stevens CJ: Nitrogen in the environment. Science (New York, NY) 2019, 363(6427):578–580.
Damashek J, Francis CA: Microbial Nitrogen Cycling in Estuaries: From Genes to Ecosystem Processes. Estuaries and Coasts 2018, 41(3):626–660.
Redfield AC: The biological control of chemical factors in the environment. Science progress 1960, 11:150–170.
Fennel K, Follows M, Falkowski PG: The co-evolution of the nitrogen, carbon and oxygen cycles in the Proterozoic ocean. American Journal of Science 2005, 305(6–8):526–545.
Canfield DE, Glazer AN, Falkowski PG: The evolution and future of Earth's nitrogen cycle. Science (New York, NY) 2010, 330(6001):192–196.
Zhang Y, Qin W, Hou L, Zakem EJ, Wan X, Zhao Z, Liu L, Hunt KA, Jiao N, Kao SJ et al: Nitrifier adaptation to low energy flux controls inventory of reduced nitrogen in the dark ocean. Proceedings of the National Academy of Sciences of the United States of America 2020, 117(9):4823–4830.
Zehr JP, Capone DG: Changing perspectives in marine nitrogen fixation. Science 2020, 368(6492):eaay9514.
Whitman WB, Coleman DC, Wiebe WJ: Prokaryotes: The unseen majority. Proceedings of the National Academy of Sciences 1998, 95(12):6578.
Newman DK, Banfield JF: Geomicrobiology: How Molecular-Scale Interactions Underpin Biogeochemical Systems. Science 2002, 296(5570):1071–1077.
Sunagawa S, Coelho LP, Chaffron S, Kultima JR, Labadie K, Salazar G, Djahanschiri B, Zeller G, Mende DR, Alberti A et al: Structure and function of the global ocean microbiome. Science 2015, 348(6237):1261359.
Kasting James F, Siefert Janet L: Life and the Evolution of Earth's Atmosphere. Science 2002, 296(5570):1066–1068.
Moran MA: The global ocean microbiome. Science 2015, 350(6266):aac8455.
Falkowski Paul G, Barber Richard T, Smetacek V: Biogeochemical Controls and Feedbacks on Ocean Primary Production. Science 1998, 281(5374):200–206.
Noskova Y, Seitkalieva A, Nedashkovskaya O, Shevchenko L, Balabanova L: Are the Closely Related Cobetia Strains of Different Species? Molecules 2021, 26(3):690.
Simon-Colin C, Raguénès G, Cozien J, Guezennec JG: Halomonas profundus sp. nov., a new PHA-producing bacterium isolated from a deep-sea hydrothermal vent shrimp. Journal of Applied Microbiology 2008, 104(5):1425–1432.
Guo Y, Zhou X, Li Y, Li K, Wang C, Liu J, Yan D, Liu Y, Yang D, Xing J: Heterotrophic nitrification and aerobic denitrification by a novel Halomonas campisalis. Biotechnology letters 2013, 35(12):2045–2049.
Wang T, Li J, Zhang LH, Yu Y, Zhu YM: Simultaneous heterotrophic nitrification and aerobic denitrification at high concentrations of NaCl and ammonia nitrogen by Halomonas bacteria. Water science and technology: a journal of the International Association on Water Pollution Research 2017, 76(2):386–395.
Li X, Gan L, Hu M, Wang S, Tian Y, Shi B: Halomonas pellis sp. nov., a moderately halophilic bacterium isolated from wetsalted hides. International journal of systematic and evolutionary microbiology 2020, 70(10):5417–5424.
Kushwaha B, Jadhav I, Jadhav K: Halomonas sambharensis sp. nov., a Moderately Halophilic Bacterium Isolated from the Saltern Crystallizer Ponds of the Sambhar Salt Lake in India. Current microbiology 2020, 77(6):1125–1134.
Zhang Q, Chen X, Zhang Z, Luo W, Wu H, Zhang L, Zhang X, Zhao T: Performance and microbial ecology of a novel moving bed biofilm reactor process inoculated with heterotrophic nitrification-aerobic denitrification bacteria for high ammonia nitrogen wastewater treatment. Bioresource technology 2020, 315:123813.
Hu J, Yan J, Wu L, Bao Y, Yu D, Li J: Simultaneous nitrification and denitrification of hypersaline wastewater by a robust bacterium Halomonas salifodinae from a repeated-batch acclimation. Bioresource technology 2021, 341:125818.
Balabanova L, Podvolotskaya A, Slepchenko L, Eliseikina M, Noskova Y, Nedashkovskaya O, Son O, Tekutyeva L, Rasskazov V: Nucleolytic enzymes from the marine bacterium Cobetia amphilecti KMM 296 with antibiofilm activity and biopreservative effect on meat products. Food Control 2017, 78:270–278.
Lv N, Pan L, Zhang J, Li Y, Zhang M: A novel micro-organism for removing excess ammonia-N in seawater ponds and the effect of Cobetia amphilecti on the growth and immune parameters of Litopenaeus vannamei. Journal of the World Aquaculture Society 2019, 50(2).
Farahat MG, Amr D, Galal A: Molecular cloning, structural modeling and characterization of a novel glutaminase-free L-asparaginase from Cobetia amphilecti AMI6. International Journal of Biological Macromolecules 2020, 143.
Balabanova L, Podvolotskaya A, Slepchenko L, Eliseikina M, Noskova Y, Nedashkovskaya O, Son O, Tekutyeva L, Valery, Rasskazov VA: Nucleolytic enzymes from the marine bacterium Cobetia amphilecti KMM 296 with antibiofilm activity and biopreservative effect on meat products. Food Control 2017, 78:270–278.
Mikhailov VV, Andryukov BG, Lyapun IN: Search and Selection of Bacteriocin-Producing Strains of Marine Bacteria in the Aquatic Ecosystems of the Sea of Japan. Molecular Genetics, Microbiology and Virology: Molekulyarnaya Genetika, Mikrobiologiya i Virusologiya 2019, 34(4):216–219.
Balabanova L, Nedashkovskaya O, Podvolotskaya A, Slepchenko L, Golotin V, Belik A, Shevchenko L, Son O, Rasskazov V: Data supporting functional diversity of the marine bacterium Cobetia amphilecti KMM 296. Data in brief 2016, 8:726–732.
Torres MES, Morales AR, Peralta AS, Kroneck PMH: 2. Sulfur, the Versatile Non-metal. In: Transition Metals and Sulfur – A Strong Relationship for Life. Edited by Martha Sosa T, Peter K: De Gruyter; 2020: 19–50.
Saito K: Sulfur assimilatory metabolism. The long and smelling road. Plant physiology 2004, 136(1):2443–2450.

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Complete genome sequencing and comparison of two nitrogen- metabolizing bacteria isolated from Antarctic deep-sea sediment

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Abstract

Figures

Background

Methods

Isolation and screening of strains

DNA extraction and identification

Whole genome sequencing

Bioinformatics analysis

Results

Strain properties and phylogeny

General features of the genome

Functional profiling

Discussion

Identification of phoD protein and ANI

Comparison of the two strains

Conclusions

Declarations

References

Tables

Competing Interests

Supplementary Files

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