Draft - University of Toronto T-SpaceDraft 1 1 Genome of Serratia nematodiphila MB307 offers unique...
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Draft
Genome of Serratia nematodiphila MB307 offers unique
insights into its diverse traits
Journal: Genome
Manuscript ID gen-2017-0250.R1
Manuscript Type: Article
Date Submitted by the Author: 09-Mar-2018
Complete List of Authors: Basharat, Zarrin; Fatima Jinnah Women University Tanveer, Faouzia; Quaid-i-Azam University Yasmin, Azra; Fatima Jinnah Women University, Shinwari, Zabta; Quaid-i-Azam University He, Tongtong; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
Tong, Yigang ; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
Keyword: Rhizobacteria, Antibiotic resistance., Serratia nematodiphila, Genome, Bioremediation
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Genome of Serratia nematodiphila MB307 offers unique insights into its diverse traits 1
Zarrin Basharata, Faouzia Tanveerb, Azra Yasmina*, Zabta Khan Shinwarib, Tongtong Hec, Yigang 2
Tongc 3
a Microbiology & Biotechnology Research Lab, Department of Environmental Sciences, Fatima 4
Jinnah Women University, Rawalpindi 46000, Pakistan. 5
b Department of Biotechnology, Quaid-i-Azam University, Islamabad 44000, Pakistan. 6
c State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and 7
Epidemiology, Beijing 100071, China. 8
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*Corresponding author 10
Running Title: Genome of Serratia nematodiphila MB307 12
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Abstract 22
A pigment producing Serratia specie was isolated from the rhizosphere of a heavy metal resistant 23
Cannabis sativa plant, growing in effluent affected soil of Hattar Industrial Estate, Haripur, Pakistan. 24
Here, we report the genome sequence of this bacterium, which was demarcated as Serratia 25
nematodiphila using whole genome comparison based OrthoANI classification scheme. The 26
bacterium exhibited diverse traits, including plant growth promotion, antimicrobial, bioremediation 27
and pollutant tolerance capabilities, including metal tolerance, azo dye degradation and ibuprofen 28
degradation etc. Plant growth promoting exoenzyme production as well as phosphate solubilisation 29
properties were observed. Genes for phosphate solubilisation, siderophore production and chitin 30
destruction were identified in addition to other industrially important enzymes like nitrilase and 31
lipase. Secondary metabolite producing apparatus for high value chemicals in the whole genome was 32
also analysed. Number of antibiotic resistance genes was then profiled in silico, through a match with 33
Antibiotic resistant gene and CAR database. This is the first report of a Serratia nematodiphila 34
genome from polluted environment. This could significantly contribute to understand pollution 35
tolerance, antibiotic resistance, association with nematodes, bio-pesticide production, and role in plant 36
growth promotion. 37
Keywords: Rhizobacteria, Serratia nematodiphila, Genome, Bioremediation, Antibiotic 38
resistance. 39
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1. Introduction 46
Members of the genus Serratia have been isolated from diverse habitats and include both pathogenic 47
and non-pathogenic strains with varying traits (Basharat and Yasmin 2016). A new member of this 48
genus, having a symbiotic association with the entomopathogenic nematode Heterorhabditidoides 49
chongmingensis was first reported in 2009 and the name Serratia nematodiphila was proposed for this 50
novel bacterium (Zhang et al. 2009). It showed a symbiotic-pathogenic life cycle and a multifaceted 51
relationship with entomopathogenic nematodes and insect pests. Insecticidal activity of this bacterium 52
against larvae of three mosquito species illustrates significance of this bacterium to control mosquito-53
borne diseases (Patil et al. 2012). 54
It has been implicated in the synthesis of silver nanoparticles, with bactericidal activity against 55
Bacillus subtilis, Klebsiella planticola and Pseudomonas aeruginosa (Malarkodi et al. 2013a). 56
Semiconductor cadmium sulfide nanoparticles have also been produced with the aid of this bacterium 57
(Malarkodi et al. 2013b). These type of nanoparticles have applications in solar cell fabrication, 58
photovoltaics, field effect transistor and biobased environmental sensor assembly. Lipases that work 59
as biocatalysts for transesterification of fatty acids during biodiesel production and have been 60
successfully sequestered from Serratia nemtodiphila. Whole-cell culture immobilization led to an 61
enhanced recovery of fatty acids of methyl oleate, methyl linoleate, and methyl palmitate, with 62
prospective for high quality biodiesel production (Boonmahome et al. 2015). Biodegradation of 2,4,6-63
trinitrotoulene has also been accomplished by this bacterium (Wu et al. 2013). 64
Gibberellin and abscissic acid producing Serratia nematodiphila has been reported to promote plant 65
growth and ameliorate cold tolerance in Capsicum annuum L. (Kang et al. 2015). A Serratia 66
nematodiphila strain NII-0928 showed improved plant growth in Piper nigrum L. by solubilisation of 67
phosphates, production of indole acetic acid (IAA) and siderophores (Dastager et al. 2011). Serratia 68
nematodiphila has also been isolated as a heavy metal resistant endophytic bacteria, from the 69
cadmium hyperaccumulator plant Solanum nigrum L. and showed plant growth promotion traits with 70
phosphate solubilizing activity, IAA and siderophore production (Chen et al. 2010). This indicates 71
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that the bacterium could be useful in phytoremediation as well. Khoa et al. (2016) tested Serratia 72
nemtodiphila for activity against rice blight pathogen Xanthomonas oryzae, and it demonstrated 73
strong antagonistic effects against Xanthomonas oryzae via antibiosis and siderophore production, 74
highlighting importance of this bacterium as a biocontrol agent. These diverse traits of Serratia 75
nematodiphila make it imperative to sequence its species from various sources (Environmental and 76
other) to explore genomics of these mechanisms in detail and to identify new and linked phenomenon 77
with these processes. 78
Despite such tremendous progress in genomic sequencing, decrease in cost and sophistication of 79
instrumentation, algorithms and softwares to process data, only data for three genomes of this 80
important bacterium was available publicly (in the National Centre for Biotechnology database) at the 81
time of sequencing of our Serratia nemtodiphila isolate. First genome sequence of this bacterium was 82
announced in 2015 by Kwak et al. (2015). Here, we report the sequencing, preliminary analysis and 83
comparison to the two type strains of Serratia nematodiphila of this bacterium, to fill up this 84
knowledge gap. Our strain was isolated from the rhizosphere of Cannabis sativa plant, growing in 85
extremely polluted and acidic environment (at a soil pH of 2), which heralds its remarkable potential 86
for bioremediation. 87
2. Material and methods 88
2.1. Isolation and characterization of the bacterium 89
Various parameters of the sampling site affected with effluent of multiple industries i.e. 90
pharmaceutical, chemical and textile industry, were recorded. Cannabis sativa plant growing in the 91
effluent polluted soil of Hattar industrial site (identified by a taxonomist at the Quaid-i-Azam 92
University, Islamabad) was uprooted, placed in polythene sealed bag along with adhering soil and 93
carried to the lab, where samples were processed. One gram soil adhering to the roots was air dried, 94
added in 10 ml autoclaved distilled water and left on the bench for 2-4 hrs. 50 µl of suspension was 95
plated on metal supplemented nutrient agar plates (100 µg/ml of Ni2+, Pb2+, Cd2+ and Cr6+). Plates 96
were incubated at 37 °C for 3-5 days. Morphological and biochemical characterization of the isolated 97
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strain MB307 was done following Bergey’s Manual of Determinative Bacteriology (Holt et al. 1994). 98
Tolerance to eleven different metals at varying concentrations was tested. Metals included NiCl2, 99
Pb(NO3)2, K2CrO4, CdSO4, CuSO4.5H2O, CoCl2, MnCl2, FeCl3, As2O3, HgCl2 and ZnCl2 100
(concentration: 50-1000 µg/ml or higher). Azo dye degradation (Methyl Orange, Congo Red) and 101
Ibuprofen tolerance assays (at a concentration of 100 µg/ml) were also attempted (Marchlewicz et al. 102
2017). All chemicals used in the study were of analytical grade and purchased from Sigma-Aldrich. 103
2.2. Plant growth promotion parameters 104
Bacterium was investigated for production of IAA (Gordon and Weber 1951) in nutrient medium 105
supplemented with tryptophan (500 µg/ml) and either with or without Pb (200 µg/ml). After 24 hours 106
of incubation, culture was centrifuged at 10,000 rpm and supernatant was taken. Salkowski’s reagent 107
(2 ml) was added to the supernatant and kept for 25 minutes in the dark. This reagent (FeCl3 10mM 108
/perchloric acid 35%) is often used for detection of indolic substances. Absorbance was recorded at 109
530 nm to quantify IAA production. Phosphate solubilisation ability was checked using NBRIP 110
(National Botanical Research Institute Phosphate) medium (Nautiyal 1999) amended with tricalcium 111
phosphate (5g/l) and with or without Pb (200 µg/ml). Plates were prepared, spot inoculated and kept 112
at 37 °C for a week. Halo formation around the colony was taken as a positive indication of phosphate 113
solubilisation. Protease activity was measured on nutrient agar medium supplemented with 2% w/v 114
skimmed milk powder. Cellulase production was tested on a minimal medium supplemented with 2% 115
carboxy methyl cellulose. Gelatin and agar were then added after pH treatment and medium was then 116
heated for complete dissolution of all ingredients (Hendrick et al. 1995). Pectinase production was 117
checked according to Kumar and Sharma (2012), with polygalacturonic acid as substrate. Siderophore 118
production was determined on Chrome Azurole S agar medium (Alexander and Zubeber 1991). 119
Ammonia (Marques et al. 2010) and aminocyclopropane-1-carboxylate (ACC) deaminase enzyme 120
production (Penrose and Glick 2003) were also evaluated. Antifungal activity was investigated 121
against two major phytopathogens i.e. Aspergillus niger (Accession No. 1109) and Fusarium 122
oxysporum (Accession No 1114). Cultures were obtained from Fungal Culture Bank, University of the 123
Punjab, Pakistan and accession numbers refer to the ones specified by the ‘First Culture Bank of 124
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Pakistan, University of Punjab, Lahore, Pakistan’. Fungal strains were cultured on Potato Dextrose 125
and Tryptic Soy Agar (1:1). Bacterium was streaked 2 cm away from fungal plug in the centre of petri 126
plate and incubated at 30˚C for 7 days (Kumar et al. 2012). 127
2.3. Genome sequencing and analysis 128
For genome sequencing, DNA was extracted using high pure PCR template preparation kit (Roche, 129
Switzerland) and sequencing was carried out on MiSeq PE300 sequencer with 2×300bp pair-end 130
library. A total of 1,042,516 reads were generated (57× coverage of the genome). The raw reads were 131
cleaned, trimmed and assembled into 31 scaffolds using A5-miseq pipeline (v. 20160825) with default 132
assembly parameters (Coil et al. 2014), and evaluated with QUAST (Gurevich et al. 2013). The 133
sequence reads have been deposited in the NCBI SRA database and allocated the accession number: 134
SRR5816373. Genome annotation was performed using the NCBI prokaryotic genome annotation 135
pipeline. Genomes were visualized using CGView (Grant and Stothard 2008) with the parameters: 136
Global Blast Settings: query_split_size=50000; overlap_split_size=0; Query: MB307.fasta; Blast 1: 137
DSM 21420.fasta; blastn expect=0.1; Bacterial and Plant Plastid, filter=Yes; alignment_cutoff=70; 138
Blast 2: CGMCC.fasta. Alignment with reference sequences i.e. type strains of Serratia 139
nematodiphila CGMCCT (GenBank Accession no: JPUX01000001-JPUX01000002) and DSM 140
21420T (GenBank Accession no: JELU01000001-JELU01002516) was carried out with 141
progressiveMAUVE (Darling et al. 2010). Alignment was carried out to get an overview of broad 142
rearrangements in closely related genomes, due to recombination and display of any segmental gain or 143
loss. Secondary metabolite producing operons/gene clusters were studied using antiSMASH 3.0 144
(Weber et al. 2015). Contigs in .gbk format were taken and gene cluster as well as sub-cluster BLAST 145
analysis was performed. Gene function was discerned through smCOG. BlastKOALA was used for 146
pathway mapping against KEGG database (Kanehisa et al. 2004). 147
Whole genome was blasted against the manually curated ‘Antibiotic Resistance Genes Database’ (Liu 148
et al. 2009) to compare the Serratia nematodiphila MB307 antibiotic resistance profile with the 149
reference microbial antibiotic resistance genes. Genes from 1737 bacterial species (conferring 150
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resistance to 249 antibiotics) were aligned with Serratia nematodiphila MB307 genes (parameters: 151
program: blastp; percent identity cut-off = 40; E-value cut-off:1 x 10-4). Antimicrobial resistance of 152
genes was also profiled via BLAST search against the manually curated CARD database (Jia et al. 153
2016). It consists of high quality experimental reference data on antimicrobial resistance. This 154
database is updated on a monthly basis and based on genome sequence analysis, manual literature 155
curation along with computational text mining. Visualization of antibiotic resistance genes following 156
strict and loose criterion was then done through a heatmap plot. 157
3. Results and Discussion 158
3.1. Physicochemical characteristics 159
Our isolate MB307 was a gram negative, rod-shaped, endospore forming, motile, and facultative 160
anaerobe. Colonies appeared as circular (0.1-0.4 mm in diameter), creamy, raised with entire margin. 161
Colour was off-white and appeared reddish brown under the microscope but was observed to change 162
from off-white to pinkish red and then complete red over time. It was able to reduce nitrate to nitrite 163
while showing positive catalase and oxidase activity. The strain could utilize glucose, lactose, sucrose 164
and citrate as carbon source. H2S production was also observed indicated by the blackening of the butt 165
in Triple sugar iron test. Similarly, it was able to grow as well as change the colour of the Eosin 166
Methylene Blue (EMB) agar medium to purple further confirming lactose fermenting ability. 167
3.2. Pollutant tolerance and biodegradation potential 168
We are in continuous search of isolates with better pollutant tolerance characteristics. Our isolate 169
showed remarkable pollutant tolerance and degradation aptitude to various pollutants i.e. metals, azo 170
dyes and pharmaceutical Ibuprofen. An excellent tolerance to eleven heavy metals was observed 171
(Table 1). Least tolerance was observed for Cd2+, while the strain was most tolerant to Mn2+. Heavy 172
metal pollution due to anthropogenic activities is a serious threat to the environment and this strain 173
could serve as a source material for cloning of metal resistance genes. Azo dyes are another menace 174
that are hazardous and pose environmental and health problems. Sulphonated azo dyes are difficult to 175
degrade and very expensive to process through physical and chemical methods. Bioremediation 176
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efficacy of the strain was tested against two sulphonated azo dyes, both qualitatively and 177
quantitatively. It exhibited azo dye degradation capability of 40 and 77.97% after 72 hours for Methyl 178
orange and Congo red respectively (pH:7; Temperature:37ºC), with no inhibitory effect on the growth 179
of the bacteria. 180
With the passage of time, reports of pharmaceutical pollutant toxicity have been published from many 181
countries, with occurrence in sewage treatment plants, surface/drinking water, effluents, seawater and 182
groundwater. Serratia nematodiphila MB307 manifested remarkable tolerance to Ibuprofen, with an 183
optical density value of λ600=0.58 (cell count=4.64 x 108) after incubation time of 24 hours in 184
Ibuprofen supplemented nutrient broth at a temperature of 37 °C. Azo dye and Ibuprofen degrading 185
enzymes need to be further studied in this bacterium for understanding molecular basis of dye 186
degradation. The authors are currently working on micropollutant (including azo dyes and Ibuprofen) 187
degradation by this bacterium using several parameters and state of the art techniques. 188
3.3. Plant growth promotion study 189
The bacteria possessing multiple plant growth promoting traits have a better chance to act as 190
successful inoculants for the field studies. These bacteria may utilize different traits at different times 191
in their life cycles e.g. ACC deaminase enzyme activity may be important during initial growth for 192
root development, while siderophore and auxin production may be involved in nutrient acquisition to 193
maintain a hormonal balance (Dell’Amico et al. 2008). In the present study, plant associated bacteria 194
Serratia nematodiphila MB307 exhibited growth promoting traits such as Indole Acetic Acid (IAA) 195
production and phosphate solubilisation (with and without metal stress). It also showed the ability to 196
produce 1-aminocyclopropane-1-carboxylate (ACC) deaminase enzyme and iron chelating 197
siderphores. ACC deaminase enzyme production is important for ameliorating the stress induced by 198
higher ethylene levels in plants in response to various external stresses such as pollutants, radiation, 199
phytopathogens, extremes of temperature and high salt concentration (Glick 2012). Siderophore 200
production by bacteria makes iron accessible for plant uptake as well as increases competition for 201
minerals with phytopathogens (Glick 2003; Pieterse et al. 2001). The biocontrol potential of Serratia 202
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MB307 was confirmed by its ability to produce cell wall degrading enzyme i.e. protease, production 203
of ammonia that inhibits the growth of pathogens and positive anti-fungal activity against plant 204
pathogens Aspergillus niger & Fusarium oxysporum. Proteases and chitinases are enzymes with 205
ability to degrade cell wall of fungal pathogens (Kim et al. 2008). Cellulase and pectinase production 206
indicate ability of Serratia nematodiphila MB307 to degrade cellulose and pectin respectively (Fig. 1, 207
Table 2). 208
3.4. Overview of Serratia nematodiphila MB307 genome 209
Total genome length was estimated as 5,172,349 bp, having a GC content of 59.6% (Fig. 2A). Total 210
4,913 genes were annotated in Serratia nematodiphila MB307 with 4,794 as coding and the rest as 211
RNA genes. A total of 41 pseudogenes, 82 tRNAs and 14 ncRNAs were predicted. OrthoANI value 212
of 99.30% was obtained after comparison to Serratia nematodiphila DSM 21420T. An OrthoANI 213
value of greater than or equal to 95 means that the strain belongs to same bacterial species and this is 214
why the isolated strain MB307 was demarcated as Serratia nematodiphila. Alignment to the two 215
sequenced type strains of Serratia nematodiphila showed a change in the overall arrangement of 216
locally collinear blocks with transitions, transversions and deletions (Fig. 2B). A large number of 217
unique genes (360) were present in MB307 as compared to the type strains CGMCCT and DSM 218
21420T present in the NCBI database. 219
Antiholin and phage shock proteins were present in the genome, suggesting involvement in bacterial 220
protection from phages. Type I and VI secretion system proteins were also identified. Cellulose 221
synthase indicates biofilm formation capability while presence of phenazine biosynthesis protein 222
implicates dye production. Streptomycin producing enzyme sequence was also identified. Apart from 223
cell growth, division, amino acid metabolism, organic hyperoxide resistance, fatty acid 224
transformation, acid shock, cold shock, heat shock, flagellar assembly, pilin and polysaccharide 225
synthesis genes were detected. Siderophore, hemophore, ACC deaminase important for stress 226
amelioration, mineral phosphate solubilizing pyrroloquinoline quinone synthase, thioesterase and 227
industrially important enzyme like phytase, lipase, nitrilase and chitinase were also identified. Phytase 228
is involved in dephosphorylation of seeds and grains to usable phosphate form. Chitinase destroys the 229
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exoskeleton of worms and fungi, thus making this bacterium detritivorous. The genome also 230
comprised of exotoxins for biocontrol of pests, which makes it an eco-friendly substitute for chemical 231
based pesticides and conspicuous for enhancing crop productivity and maintain soil quality in agro-232
ecosystems. 233
Cyanate degradation and atrazine degradation operons were found in addition to tellurite and heavy 234
metal resistance apparatus. Three copies of azoreductase were observed with variation in sequence, 235
which suggest a paralogous origin of enzymes conferring capability of this bacterium to degrade and 236
survive in genotoxic azo dye polluted environment. Fourteen different monooxygenases and 5 copies 237
of different dioxygenases were present in the genome. Dioxygenases with only decarboxylation and 238
not cleavage or post-processing functionality were mined. KEGG reaction modules portrayed their 239
connection with dihydroxylation of aromatic ring type 1 i.e. dioxygenase and decarboxylating 240
dehydrogenase reactions. These genes help resist various pollutants and complement the phenotypic 241
characteristics of pollution tolerance traits of Serratia nematodiphila MB307 at genomic level. 242
Out of 634 genes responsible for metabolism in Serratia nematodiphila MB307 genome, 225 were 243
categorized as specific to microbial metabolism in diverse environments. Around 24 genes were 244
specialized for 2-oxocarboxylic acid metabolism and 22 genes for degradation of aromatic 245
compounds. Aromatic compounds are natural substrates of bacteria and also form recalcitrant class of 246
pollutants predominant in the environment (Seo et al. 2009). 178 genes involved in the synthesis and 247
metabolism of co-factors and vitamins were also mined. Nineteen fatty acid metabolism genes and 15 248
pathways linked with xenobiotics biodegradation and metabolism were surveyed in the genome 249
(Table 3). 250
Antibiotics are responsible for an ever-changing core molecular landscape of bacterial resistance 251
mechanism and a large number of genes conferring resistance to antibiotics were found after search 252
against ‘Antibiotic Resistance Genes Database’. Seven genes conferring resistance to different classes 253
of antibiotics had a similarity value above (Table 4), while the value for 43 genes was below cut-off 254
point. A resistance similarity to 19 genes (including beta-lactams and drug-efflux pumps) was found 255
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with strict and 36 with loose criteria after BLAST search against the ‘CARD’ record (Fig. 3). A 256
detailed antibiogram and resistome of this bacterium is being mapped by our group i.e. association 257
with mobile elements such as transposons, insertion sequence-based transposable units, integrons and 258
synteny of resistance gene operons for Serratia MB307. 259
3.5. Secondary metabolite producing gene cluster analysis 260
Nonribosomal peptide synthetases (NRPS) are independent of mRNA and each synthetase produces 261
one type of peptide secondary metabolite only. NR peptides possess various types of pharmacological 262
action and diverse biological activities. A total of six NRPS operons with peptide metabolite 263
producing capability were mined. Other metabolites included fatty acids, thiopeptides and 264
saccharides. NRPS Enterobactin, ravidomycin, prodigiosin, turnerbactin and xantholipin producing 265
clusters in the Serratia nematodiphila MB307 genome depicted considerable similarity to the 266
previously annotated gene clusters in the database. A similarity of 93% of the genes was observed 267
among the cluster/operon for prodigiosin production, 20% for microcin, 15% for turnerbactin, 12% 268
for enterobactin, 5% for ravidomycin and 4% for xantholipin producing gene cluster. Gene clusters 269
entailed biosynthetic, transport-related, regulatory and other genes. Hidden Markov Model based 270
smCOG analysis showed that at least one biosynthetic gene in all the mined NRPS clusters belonged 271
to condensation domain containing protein family. Condensation domain usually occurs in multi-272
domain enzymes that produce peptide antibiotics and has a role in catalysis of peptide bond forming 273
condensation reaction in NRPS (Stachelhaus et al. 1998). 274
Other predicted metabolite producing operons did not share a close homolog in MIBiG database and 275
the predicted chemical structure scaffold was therefore, blasted against Norine database in order to 276
find nature of produced chemical structure. In one operon, it resembled an antibiotic (penicillin and 277
cephalosporin precursor, Norine ID: NOR00006) and a siderophore (chrysobactin, Norine ID: 278
NOR00210), based on the fingerprint distance(s) between the predicted scaffold composition and the 279
Norine peptides. In the other operons, coronatine family toxins N-coronafacoyl-L-valine (Norine ID: 280
NOR00748) and N-coronafacoyl-L-threonine (Norine ID: NOR00751) production was projected. 281
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Most of the genes in the cluster showed ~90% or more similarity to the gene clusters in other Serratia 282
species (Fig. 4), which portends similar toxins in them but they have remained unexplored and 283
understudied still now. These metabolites are intermediates of the phytotoxin coronatine and first 284
isolated from Pseudomonas syringae pv. glycinea. Coronatine functions in plant function regulation 285
i.e. stomatal re-opening after pathogen attack on plant and during infection (Melotto et al. 2008) so 286
basically it has a role in mitigating stress. This suggests a putative role of Serratia nematodiphila 287
phytotoxins in plant protection against infection and stress but further experimental validation is 288
required for detailed derivation of the mechanism. These type of toxins need to be studied further as 289
they have potential for transgenic plant development, with resistance against pathogens and infection. 290
4. Conclusion 291
We sequenced Serratia nematodiphila MB307 to explore a native pollutant and stress tolerant 292
bacterium, harboring potential eco-friendly traits (plant growth promoting, biocontrol and 293
bioremediation). It has biostimulation properties and could serve as sustainable alternative to the 294
existing chemical fertilizers/pesticides. Important secondary metabolite gene operons were mined and 295
analysed in relation to other Serratia spp genomes. This strain could be utilized in various functional 296
genomic studies which could in return, lead to a better understanding of the concerted action of 297
enzymes and metabolic routes for tolerance to pollutants and biodegradation of various xenobiotics. It 298
could also prove useful for industrially and agriculturally important enzyme production. Further work 299
on the understanding and improvement of enzymatic activity regarding various aspects of this 300
remarkable strain is being carried out by our group. 301
Genome accession number 302
The genome sequence of Serratia nematodiphila MB307 has been deposited in NCBI GenBank 303
(Accession number: MTBJ01000001-MTBJ01000031). 304
305
References 306
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404
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Table 1. Maximum tolerable capability of Serratia nematodiphila MB307 to selected metals (µg/ml) 417
after 24 hrs of incubation. Assays were performed in triplicate and an average was calculated from the 418
obtained values. 419
Substrate Ni2+ Pb2+ Cr6+ Cu2+ Cd2+ Co2+ Mn2+ As3+ Hg2+ Fe3+ Zn2+
Tolerance (µg/ml) 600 1400 900 700 500 400 2700 300 100 700 500
420
421
422
423
424
425
426
427
428
429
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Table 2. Plant growth promoting activities of Serratia nematodiphila MB307. 436
PSI means Phosphate Solublization Index calculated as colony diameter + zone diameter/ colony 437
diameter, Ca3(PO4)2 provided as 5g/L, metal selected was Pb2+ at a concentration of 200µg/ml. Zone 438
sizes mentioned after subtracting colony diameter from halo diameter. + in case of antifungal assay 439
indicates positive anti-fungal activity by Serratia nematodiphila MB307. Mentioned values are 440
average of the assays done in triplicate. 441
IAA (µg/ml) PSI Sideropho
re
productio
n
(zone
sizes in
mm)
Enzyme Activity
(zone sizes in mm)
ACC
deaminas
e activity
(α-
ketobutyr
ate
µmol/mg/
h)
Anti-fungal activity
With
Metal
Without
Metal
Witho
ut
Metal
Wit
h
Met
al
2nd
day
5th
day
Protea
se
Cellula
se
Pectina
se
0.1 Aspergill
us niger
Fusariu
m
oxysporu
m
8.089±1.2
32
7.285±0.7
86
2.66 3.5 8 12 11.3 15 27 +++ +
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443
Table 3. Xenobiotics biodegradation and metabolism pathways for Serratia nematodiphila 444
MB307. 445
Serial No. KEGG map ID Degradation pathway No. of genes mapped to
degradation pathway
1. 00362 Benzoate degradation 18
2. 00627 Aminobenzoate degradation 4
3. 00364 Fluorobenzoate degradation 7
4. 00625 Chloroalkane and chloroalkene
degradation
3
5. 00361 Chlorocyclohexane and chlorobenzene
degradation
3
6. 00623 Toluene degradation 3
7. 00622 Xylene degradation 5
8. 00633 Nitrotoluene degradation 1
9. 00642 Ethylbenzene degradation 1
10. 00643 Styrene degradation 1
11. 00791 Atrazine degradation 3
12. 00930 Caprolactam degradation 4
13. 00621 Dioxin degradation 1
14. 00626 Naphthalene degradation 3
15. 00980 Metabolism of xenobiotics by cytochrome
P450
3
446
447
448
449
450
451
452
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Table 4. Antibiotic resistance profile of Serratia nematodiphila MB307 genome blasted against 455
the ‘Antibiotic Resistance Genes Database’. 456
Matching
gene
Definition of matched gene Resistance to antibiotic
type/class
aac6ic Aminoglycoside N-acetyltransferase, which modifies aminoglycosides by acetylation.
isepamicin netilmicin tobramycin amikacin sisomicin dibekacin
acrb Resistance-nodulation-cell division transporter system. Multidrug resistance efflux pump.
aminoglycoside glycylcycline macrolide beta_lactam acriflavin
baca Undecaprenyl pyrophosphate phosphatase, which consists in the sequestration of Undecaprenyl pyrophosphate.
bacitracin
bl1_sm Class C beta-lactamase. This enzyme breaks the beta-lactam antibiotic ring open and deactivates the molecule's antibacterial properites.
cephalosporin
ksga Specifically dimethylates two adjacent adenosines in the loop of a conserved hairpin near the 3'-end of 16S rRNA in the 30S particle. Its inactivation leads to kasugamycin resistance.
kasugamycin
qnrb Pentapeptide repeat family, which protects DNA gyrase from the inhibition of quinolones.
fluoroquinolone
rosb Efflux pump/potassium antiporter system. RosA: Major facilitator superfamily transporter. RosB: Potassium antiporter.
fosmidomycin
457
458
459
460
461
462
463
464
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Figure Captions 467
Fig. 1. (A) Siderophore, (B) pectinase, (C) cellulase, (D) protease production in Serratia 468
nematodiphila MB307. (E) Plate showing positive phosphate solubilisation activity of Serratia 469
nematodiphila MB307. 470
Fig. 2(A). Circular representation of the Serratia nematodiphila MB307 genome. BLAST 1 and 2 471
search mentioned in the legend is for Serratia nematodiphila CGMCCT and Serratia nematodiphila 472
DSM 21420T respectively. OriC replication region of 380 nt (position 270583-270962 nt) is shown by 473
black divider ring with 3’ leader to the left and 5’ trailer at its right side. (B) Alignment of Serratia 474
nematodiphila MB307 (shown in the middle) with Serratia nematodiphila DSM 21420T (shown at the 475
top) and Serratia nematodiphila strain CGMCCT (shown below MB307). Nucleotide positions are 476
shown above the chromosomal segments. Locally collinear blocks shown in same colours and 477
connected by vertical lines in the studied genomes depict homologous regions. Phylogenetically both 478
type strains were equidistant to the strain MB307. 479
Fig. 3. Antibiotic Resistance Ontology (ARO) heatmap plot showing similarity of strict matches (blue 480
colour) for antibiotic resistance genes of our strain Serratia nematodiphila MB307, compared with 481
other bacterial species in the database. ARO categories mentioned at the bottom indicate resistance 482
mechanism i.e. drug target modification, replacement, protection, enzymatic destruction and transport 483
etc. 484
Fig. 4. N-coronafacoyl-L-valine and N-coronafacoyl-L-threonine analog producing gene clusters in 485
the Serratia nematodiphila. Similarity percentage of genes is mentioned above each operon of other 486
Serratia species relative to Serratia nematodiphila MB307. Putative biosynthetic genes are shown in 487
teal and purple, additional biosynthetic in grey and transcription regulation-related genes in aqua 488
colour. 489
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491
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Fig. 2.
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Fig. 3.
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Fig. 4.
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