Abstract
Arthrobacter agilis strain L77, is a plant growth promoting and cold active hydrolytic enzymes producing psychrotrophic bacterium, isolated from Pangong Lake, a subglacial lake in north western Himalayas, India. Genome analysis revealed metabolic versatility with genes involved in metabolism and cold shock adaptation, utilization and biosynthesis of diverse structural and storage polysaccharides such as plant based carbon polymers. The genome of Arthrobacter agilis strain L77 consists of 3,608,439 bp (3.60 Mb) of a circular chromosome. The genome comprises of 3316 protein coding genes and 74 RNA genes, 725 hypothetical proteins, 25 pseudo-genes and 1404 unique genes.
Electronic supplementary material
The online version of this article (doi:10.1186/s40793-016-0176-4) contains supplementary material, which is available to authorized users.
Keywords: Arthrobacter, Psychrotrophic, PGPB, Cold-active enzymes, Pangong Lake, Himalayas
Introduction
The microorganisms from extreme environments are of particular importance in global ecology since the majority of terrestrial and aquatic ecosystems of our planet are permanently or seasonally submitted to cold temperatures. Microorganisms capable of coping with low temperatures are widespread in these natural environments where they often represent the dominant flora and they should therefore be regarded as the most successful colonizers of our planet. Members of the genus Arthrobacter [1, 2] are Gram-positive, show rods in exponential growth and cocci in their stationary phase, able to grow under aerobic as well as anaerobic conditions and belong to the phylum Actinobacteria [3]. Different species of Arthrobacter [1, 2] have been implicated in plant growth promotion [4], production of industrially important enzymes [5, 6] and as xeroprotectant [7, 8]. These reports suggest that species from Arthrobacter [1, 2] harbor genes for coding enzymes that can be useful in the industry, agriculture and biotechnology. Arthrobacter agilis [9] strain L77 was isolated from Pangong Lake, a subglacial lake in north western Himalayas, India and exhibit plant growth promoting attributes as well as production of hydrolytic enzymes. The culture was further characterized for production of EPS and anti-freeze compounds (AFCs). Here, we present the draft genome sequence of Arthrobacter agilis [9] strain L77 along with the description of genome properties and annotation.
Organism information
Classification and features
Arthrobacter agilis [9] strain L77 was isolated from frozen sub-glacial Pangong Lake (33°82′55.59″N and 78°59′26.69″E) in north western Himalaya, India (Table 1). This psychrotrophic bacterium was isolated using standard serial dilution method on Trypticase soya agar [10] plate and has been reported to possess plant growth promoting attributes and could produce cold active enzymes and AFCs. It could solubilize phosphorus, zinc and could produce indole acetic acid and ammonia. It could produce cold active enzymes such as lipase, amylase, protease, chitinase and β-galactosidase.
Table 1.
MIGS ID | Property | Term | Evidence codea |
---|---|---|---|
Classification | Domain Bacteria | TAS [12] | |
Phylum Actinobacteria | TAS [3] | ||
Class Actinobacteria | TAS [13] | ||
Order Actinomycetales | TAS [2, 14] | ||
Family Micrococcaceae | TAS [2, 15] | ||
Genus Arthrobacter | TAS [1, 2] | ||
Species Arthrobacter agilis | TAS [9] | ||
Strain L77 | NAS | ||
Gram stain | Positive | IDA | |
Cell shape | Polymorphic: Coccus to rod shaped | IDA | |
Motility | Non-motile | TAS [9] | |
Sporulation | Non-sporulating | TAS [9] | |
Temperature range | −10 °C −30 °C | IDA | |
Optimum temperature | 15 °C | IDA | |
pH range; Optimum | 6–9, 7 | IDA | |
Carbon source | Yeast extract, glucose, lactose, mannose | TAS [9] | |
MIGS-6 | Habitat | Sub-glacial Lake | IDA |
MIGS-6.3 | Salinity | Grown on 5 % > NaCl (w/v) | IDA |
MIGS-22 | Oxygen requirement | Aerobic | TAS [9] |
MIGS-15 | Biotic relationship | Free living | TAS [9] |
MIGS-14 | Pathogenicity | Non-pathogeneic | NAS |
MIGS-4 | Geographic location | India, Leh Ladakh, Jammu & Kashmir | TAS [10] |
MIGS-5 | Sample collection | March 28, 2010 | IDA |
MIGS-4.1 | Latitude | 33°82′55.59″N | NAS |
MIGS-4.2 | Longitude | 78°59′26.69″E | NAS |
MIGS-4.4 | Altitude | 3215 m | NAS |
aEvidence codes - TAS Traceable Author Statement (i.e., a direct report exists in the literature), NAS Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [49]
Strain L77 is a bright yellow colored (Fig. 1) Gram-positive, aerobic, non-motile bacterium exhibiting a rod-coccus cycle. The initial validation of bacterium was done by 16S rRNA gene sequencing using the universal eubacterial primers pA (5′-AGAGTTTGATCCTGGCTCAG-3′) and pH (5′-AAGGAGGTGATCCAGCCGCA-3′) [11]. The 16S rRNA gene sequence places Arthrobacter agilis strain L77 in the domain Bacteria [12] (Table 1), phylum Actinobacteria [3] and Class Actinobacteria [13], order Actinomycetales [2, 14] and family Micrococcaceae [2, 15] during homology search by BLAST [16]. Only few of the closely related species after reclassification [17] of genus Arthrobacter [1, 2,] with validly published names: A. agilisDSM 20550T [9], A. woluwensis 1551TDSM 10495 [18], A. methylotrophusDSM 14008T [19], A. tectiLMG 22282T [20], A. parietisLMG 22281T [20], A. subterraneus CH7TDSM 17585 [21], A. tumbaeLMG 19501T [20], Arthrobacter oryzae KV-651TDSM 25586 [22], Arthrobacter alkaliphilus LC6TDSM 23368 [23], Arthrobacter flavusJCM 11496T [24], A. cupressi D48TDSM 24664 [25], A. globiformisDSM 20124T [1, 2] were selected for drawing the phylogenetic position of strain L77.
A phylogenetic tree was constructed (Fig. 2) from the 16S rRNA gene sequence together with other Arthrobacter [1, 2] homologs using MEGA 6.0 software suite [26]. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura-Nei model [27]. The tree with the highest log likelihood (0.14495825) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 13 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 1553 positions in the final dataset. Evolutionary analyses were conducted in MEGA6.0 [26]. According to the 16S rRNA gene similarity, the nearest phylogenetic neighbors of Arthrobacter agilis strain L77 are Arthrobacter flavusJCM 11496T [24] (AB537168) with 97.8 %, A. tectiLMG 22282T [20] (AJ639829) with 97.13 %, A. parietisLMG 22281T [20] (AJ639830) with 97.41 %, A. subtrerraneus CH7TDSM 17585 [21] (DQ097525) with 97.66 % and A. tumbaeLMG 19501T [20] (AJ315069) with 97.68 % similarity. The 16S rRNA gene sequence also submitted to NCBI GenBank with the accession number KT804924.
Extended feature descriptions
Arthrobacter agilis strain L77, a psychrotrophic bacterium, forms bright yellow color colonies (Fig. 1) on TSA medium and could grow in a pH range of 6–9 and tolerate 5 % NaCl. Growth studies showed that the isolate when incubated at 15 and 30 °C was in the exponential phase until 36 h, while at 4 °C, the exponential phase started after 24 h (Fig. 3). Freezing survival studies of Arthrobacter agilis strain L77 revealed that when the culture was initially grown at 4 °C prior to freezing at −10 and −20 °C, it showed significantly higher freezing survival rather than culture initially grown at 15 and 30 °C prior to freezing (Fig. 3).
Exopolysaccharide production was found to be higher at lower incubation temperatures (4 or 15 °C) in comparison to the optimal growth temperature (30 °C) for Arthrobacter agilis (L77) (Fig. 4). EPS production by psychrophilic bacteria is one of the adaptations at low temperatures. The high polyhydroxyl content of EPS lowers the freezing point and ice nucleation temperature of water. In addition, EPS can trap water, nutrients and metal-ions and facilitate surface adhesion, cellular aggregation and biofilm formation and may also play a role in protecting extracellular enzymes against cold denaturation and autolysis [28, 29].
Remarkable variations in terms of accumulation of various organic acids, sugars, polyols and amino acids were detected through HPLC at three different incubation temperatures (4, 15 and 30 °C) (Additional file 1: Table S1, Additional file 2: Table S2 and Fig. 5). Among the sugars, accumulation of mannitol and sorbitol was observed only at 4 °C. The amino acids expression pattern revealed that the most prominent increase was observed in the concentrations of glycine, cysteine and arginine at 4 °C (Additional file 2: Table S2). It has been reported that the cold active enzymes and efficient growth rates are used to facilitate and maintain the adequate metabolic fluxes at near freezing temperature for cold-adaptation [30]. The development of freezing tolerance by producing cryoprotectant compounds or adaptation of cytoplasmic enzymes to cold conditions for protecting cytoplasmic components is one of the strategy used by microbial cells to survive in freezing conditions as these molecules depress freezing point for the protection of cells [31].
Enhanced EPS production by the psychrophilic bacteria at low temperature suggests that EPS plays an important role in desiccation protection or prevention of drying of bacterial cells from freezing temperature. It can be assumed that the strain L77 follows a cold evading strategy to thrive in freezing conditions by synthesizing various cryoprotectants (sugars, polyols and amino acids). These cryoprotectants are known to depress freezing point to evade crystallization [32].
Genome sequencing information
Genome project history
This organism was selected for sequencing on the basis of its environmental and agricultural relevance to help in plant growth and ability to provide inorganic phosphate to crops at very low temperature. It also has biogeochemical importance of producing AFCs, so helpful for soil aeration. The genome project is deposited in the online genome database (NCBI-Genome). Sequencing, assembly and annotations were performed at Division of Microbiology, Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India. A summary of the project information is shown in the Table 2.
Table 2.
MIGS ID | Property | Term |
---|---|---|
MIGS-31 | Finishing quality | Unfinished, improved high quality draft |
MIGS-28 | Libraries used | Paired End (insert size 250 bp) |
MIGS-29 | Sequencing platforms | Illumina MiSeq |
MIGS-31.2 | Fold coverage | 180× |
MIGS-30 | Assemblers | A5 pipeline v jan-2014 |
MIGS-32 | Gene calling method | Prodigal |
Locus Tag | RY94 | |
Genbank ID | JWSU00000000.1-10.1 | |
Genbank Date of Release | 08-Jan-2015 | |
GOLD ID | Gp0117366 | |
BIOPROJECT | PRJNA270909 | |
MIGS 13 | Source Material Identifier | L77 |
Project relevance | Bioprospecting |
Growth conditions and genomic DNA preparation
A culture of L77 was grown in Trypticase soya broth, until they reached an OD(600 nm) > 1.0. The cells were pelleted from 5 ml culture, washed thrice with TE buffer (10 mM Tris and 1 mM EDTA, pH 8.0) and the pellet was resuspended in 750 μl TE buffer. Genomic DNA was extracted from the suspended pellet using Zymo Research Fungal/Bacterial DNA MicroPrep™ following the standard protocol prescribed by the manufacturer.
Genome sequencing and assembly
The draft genome of Arthrobacter agilis strain L77 (PRJNA270909) was generated at the Division of Microbiology, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India using Illumina [33] technology (Table 2). For this genome, we constructed and sequenced an Illumina MiSeq shotgun library which generated 1,568,654 reads totaling 321.8 Mb data. The raw fastq data was checked for quality using Fast QC [34]. Trimmomatic 0.32 [35] with Nextra adapter sequences was used to hard clip reads. Assembly of trimmed reads was carried out using a5 pipeline version 2014 [36] (Table 2). In terms of N50 and total number of scaffolds, the a5 pipeline [36] was found to be better than other genome assemblers. CONTIGuator [37] was used to improve the assembly draft. The final draft was identified as Arthrobacter agilis L77, using megablast with RDP 16S database, release 11–1 [38]. This whole-genome project (Bioproject ID: PRJNA270909) has been registered and assembled sequence data submitted at NCBI GenBank under the accession no. JWSU00000000.1-10.1. The version described in this paper is the first version.
Genome annotation
Genes were identified using Prokka 1.8 [39] based on Prodigal [40] (Table 2) as part of the Oak Ridge National Laboratory genome annotation pipeline. The predicted CDSs were further annotated on Pfam [41], and (COGs) [42]. These data sources were combined to assert a product description for each predicted protein. Non-coding genes and miscellaneous features were predicted using tRNAscan-SE [43], RNAMMer [44], Rfam [45], TMHMM [46], and signalP v4.1 [47] (Table 3).
Table 3.
Attribute | Value | % of total |
---|---|---|
Genome size (bp) | 3,608,439 | 100.00 |
DNA coding (bp) | 3,224,998 | 89.37 |
DNA G + C (bp) | 2,518,329 | 69.79 |
DNA scaffolds | 10 | 100.00 |
Total genes | 3390 | 100.00 |
Protein coding genes | 3316 | 97.81 |
RNA genes | 84 | 2.18 |
Pseudo genes | 25 | 0.73 |
Genes in internal clusters | N/A | N/A |
Genes with function prediction | 2591 | 78.10 |
Genes assigned to COGs | 2122 | 63.64 |
Genes assigned to Pfam domains | 2855 | 85.11 |
Genes with signal peptides | 126 | 5.51 |
Genes with transmembrane helices | 852 | 25.6 |
CRISPR repeats | N/A | N/A |
Genome properties
The genome is 3,608,439 bp in size, which has GC content of 69.79 mol % (Table 3). There are 47 tRNA, 1 tmRNA, 6 rRNA and 20 ncRNA genes. Of the 3390 predicted genes, 3316 are protein-coding genes (CDSs). Of the total CDSs, 63.64 % represent COG functional categories and 5.51 % consist of signal peptides (Table 3). The distribution of genes into COG functional categories are presented in Table 4. The genome map (Fig. 6) was visualized by CG view server [48].
Table 4.
Code | Value | % agea | COG category |
---|---|---|---|
J | 184 | 5.54 | Translation, ribosomal structure and biogenesis |
A | 1 | 0.03 | RNA processing and modification |
K | 208 | 6.27 | Transcription |
L | 109 | 3.28 | Replication recombination and repair |
B | 1 | 0.03 | Chromatin structure and dynamics |
D | 22 | 0.66 | Cell cycle control, Cell division, chromosome partitioning |
V | 49 | 1.47 | Defense mechanisms |
T | 113 | 3.40 | Signal transduction mechanisms |
M | 124 | 3.73 | Cell wall/membrane biogenesis |
N | 30 | 0.90 | Cell motility |
U | 19 | 0.57 | Intracellular trafficking and secretion |
O | 104 | 3.13 | Posttranslational modification, protein turnover, chaperones |
C | 110 | 3.31 | Energy production and conversion |
G | 213 | 6.42 | Carbohydrate transport and metabolism |
E | 200 | 6.03 | Amino acid transport and metabolism |
F | 71 | 2.14 | Nucleotide transport and metabolism |
H | 114 | 3.43 | Coenzyme transport and metabolism |
I | 88 | 2.65 | Lipid transport and metabolism |
P | 118 | 3.55 | Inorganic ion transport and metabolism |
Q | 38 | 1.14 | Secondary metabolites biosynthesis, transport and catabolism |
R | 204 | 6.15 | General function prediction only |
S | 166 | 5.00 | Function unknown |
– | 1030 | 31.06 | Not in COGs |
aThe total is based on the number of protein coding genes in the annotated genome
Insights from the genome sequence
The isolate was successfully screened for lipase, amylase, protease, chitinase and β-galactosidase. Genome analysis showed two important genes pstA and pstC which are required for the translocation of phosphate across the membranes. Another important gene, PstB (an ADP binding protein), of the phosphate transport system is responsible for giving energy to the phosphate transport system of the organism. PhoR and PhoP were also found which are important for regulation of phosphate operon. PhoH like protein has a probable ATPase which is induced when phosphate level decreases. Genome annotation also predicted a putative cold shock protein which is supposed to play an important role in low temperature conditions. There are other proteins which shares evolutionary relationship with bacterial cold shock proteins such as Rhodanase and S1 RNA binding protein suggesting their role in low temperature conditions. In-depth analysis of the genome could give us better insight into mechanism of tolerance of this strain to low temperature. Other temperature responsive proteins were found such as molecular chaperone Hsp31 and glyoxalase 3 that influence the exposure of hydrophobic domains of proteins and stabilize the early unfolding under high temperature stress conditions to provide stability to the isolate in temperature stress.
Genes of heavy metal resistance were also found in the annotation. Mercuric resistance operon regulatory protein activates the mercury resistance operon in the presence of mercury thus protecting the bacteria from harmful side-effects of mercury. Mercuric reductase is also present which is responsible for conversion of Hg2+ to Hg0. copZ is a copper chaperone that replaces zinc with copper and releases copY from the DNA which is a negative regulator of copYZAB under excess copper. Gene of nitrogen regulation, nitrogen regulatory protein P-II was found that regulates the level of nitrogen by regulating glutamine. When the ratio of glutamine to 2-ketoglutarate decreases, uridine is added on a tyrosine of P-II to form P-II-UMP which in turn deadenylates glutamine synthase resulting in its activation. Putative genes coding for these activities were identified in the genome based on annotation (Table 5).
Table 5.
Putative Gene | Annotation | Size (aa) |
---|---|---|
Lipase | ||
ABAGL_00531 | GDSL-like Lipase/Acylhydrolase | 262 |
ABAGL_00732 | Lipase 1 precursor | 288 |
ABAGL_00875 | GDSL-like Lipase/Acylhydrolase | 267 |
ABAGL_01161 | Lipase 1 precursor | 350 |
ABAGL_03217 | GDSL-like Lipase/Acylhydrolase | 272 |
Amylase | ||
ABAGL_00299 | Glucose-resistance amylase regulator | 338 |
ABAGL_01452 | Glucose-resistance amylase regulator | 336 |
ABAGL_01652 | Trehalose synthase/amylase TreS | 588 |
ABAGL_01737 | Alpha-amylase precursor | 905 |
ABAGL_01923 | Alpha-amylase/pullulanase | 257 |
ABAGL_01950 | Glucose-resistance amylase regulator | 327 |
Chitinase | ||
ABAGL_01394 | putative bifunctional chitinase/lysozyme precursor | 520 |
ABAGL_01777 | Chitinase | 400 |
Protease | ||
ABAGL_00100 | Putative cysteine protease YraA | 188 |
ABAGL_00190 | Flp pilus assembly protein, protease CpaA | 207 |
ABAGL_00447 | Lon protease | 364 |
ABAGL_00456 | Putative serine protease HtrA | 496 |
ABAGL_00667 | Serine proteasec | 401 |
ABAGL_00940 | CAAX amino terminal protease self- immunity | 268 |
ABAGL_00971 | CAAX amino terminal protease self- immunity | 247 |
ABAGL_01091 | Serine protease Do-like HtrA | 366 |
ABAGL_01213 | Rhomboid protease GluP | 291 |
ABAGL_01289 | ATP-dependent zinc metalloprotease FtsH | 689 |
ABAGL_01302 | Putative ATP-dependent Clp protease ATP-binding subunit | 835 |
ABAGL_01392 | CAAX amino terminal protease self- immunity | 266 |
ABAGL_01505 | Minor extracellular protease vpr precursor | 1059 |
ABAGL_01669 | Flp pilus assembly protein, protease CpaA | 168 |
ABAGL_01755 | CAAX amino terminal protease self- immunity | 326 |
ABAGL_02020 | Putative serine protease HtrA | 310 |
ABAGL_02206 | Putative metalloprotease | 303 |
ABAGL_02449 | Putative zinc metalloproteasec/MT2700 | 388 |
ABAGL_02467 | Modulator of FtsH protease HflK | 310 |
ABAGL_02638 | ATP-dependent Clp protease ATP-binding subunit ClpX | 430 |
ABAGL_02639 | ATP-dependent Clp protease proteolytic subunit 1 | 224 |
ABAGL_02640 | ATP-dependent Clp protease proteolytic subunit 2 | 208 |
ABAGL_02862 | ATP-dependent Clp protease adaptor protein ClpS | 105 |
ABAGL_02923 | ATP-dependent zinc metalloprotease FtsH | 438 |
ABAGL_03163 | Serine protease inhibitor-like protein | 389 |
ABAGL_03211 | CAAX amino terminal protease self- immunity | 267 |
ABAGL_03271 | Metalloprotease MmpA | 447 |
ABAGL_00551 | Protease PrtS precursor | 355 |
ABAGL_00739 | Protease 2 | 734 |
ABAGL_01958 | Protease synthase and sporulation negative regulatory protein | 215 |
ABAGL_02571 | Protease PrsW | 425 |
ABAGL_03295 | Protease 3 precursor | 455 |
β-galactosidase | ||
ABAGL_00260 | β-galactosidase bgaB | 667 |
ABAGL_00292 | β-galactosidase | 687 |
ABAGL_01083 | β-galactosidase precursor | 708 |
Phosphate Transport Regulation | ||
ABAGL_01317 | Phosphate transport system permease protein PstA | 310 |
ABAGL_01318 | Phosphate import ATP-binding protein PstB | 367 |
ABAGL_01316 | Phosphate transport system permease protein PstC | 259 |
ABAGL_00191 | Alkaline phosphatase synthesis sensor protein PhoR | 544 |
ABAGL_03137 | Alkaline phosphatase synthesis sensor protein PhoR | 555 |
ABAGL_01671 | PhoH-like protein | 443 |
ABAGL_02530 | PhoH-like protein | 344 |
Cold shock Proteins | ||
ABAGL_01978 | putative cold shock protein A | 67 |
Chaperons | ||
ABAGL_01554 | Molecular chaperone Hsp31 and glyoxalase 3 | 255 |
ABAGL_01067 | Copper chaperone CopZ | 74 |
Heavy Metal Resistance | ||
ABAGL_02628 | Mercuric resistance operon regulatory protein | 134 |
Conclusions
The 3.6 Mb draft genome of Arthrobacter agilis strain L77 was assembled and annotated. The isolate was successfully screened for production of EPS and AFCs with potential application in biotechnology. The candidate genes coding for hydrolytic enzymes and cold shock proteins were identified in the genome. Arthrobacter agilis strain L77 will serve as a source for antifreeze proteins, functional enzymes and other bioactive molecules in future bioprospecting projects.
Acknowledgments
The authors are grateful to the National Agricultural Innovation Project (NAIP), Indian Council of Agricultural Research, Govt. of India, New Delhi and Division of Microbiology, ICAR-Indian Agricultural Research Institute (IARI), Pusa, New Delhi and for providing the financial support facilities, to undertake the investigations.
Author’s contributions
RNS and SGa equally contributed to the work. RNS carried out the sample collection, participated in the strain identification, sequence alignment, assembly and annotation analysis and drafted the manuscript. SGa participated in the sequence assembly and annotation analysis. ANY and SGu carried out the bacterial isolation and performed the physiological assays. PG did the initial sequence assembly of the raw data. RK participated in sample collection and sequencing of 16S rRNA gene. AKS conceived of the study, and participated in its design, coordination and helped to finalize the manuscript. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Abbreviations
- AFCs
Anti-freeze compounds
- EPS
Exopolysaccharides
Additional files
References
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