Bioscience Biotechnology Research Communications

An Open Access International Journal

Bioscience Biotechnology Research Communications

An Open Access International Journal

Jayanta Mandal1 and Sangram Sinha2

1Department of Microbiology, University of Burdwan, Burdwan, West Bengal, India

2Department of Botany, Vivekananda Mahavidyalaya, Haripal, Hooghly, West Bengal, India.

Corresponding author email : sinhasangramvm@gmail.com

DOI:

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ABSTRACT:

Ralstonia solanacearum is a devastating pathogenic soil borne bacterium causing Bacterial Wilt disease in 450 plant species belonging to 54 botanical families and it severely impairs global solanaceous crop production. The loss of crop may go up to 90% depending upon the environmental suitability. The bacterium is very robust and can survive in diverse host plants, soil, water and even in weeds. It possesses an arsenal of secretory molecules like diverse virulent factors, exopolysaccharide, cell wall degrading enzymes to subvert host defense mechanisms. The wilt pathogen is also very efficient to overcome existing control measures rendering it extremely difficult to control.

Understanding of molecular mechanism of pathogenesis through genome analysis and identification of novel drug target could be an effective alternative.  In this study, subtractive genome analysis of Ralstonia solanacearum GM1000 strain having total 5106 proteins obtained from Uniprot database was done and 4972 non paralogous sequence of proteins were selected applying CD-HIT tool.  A total of 465 essential proteins were then identified using BLASTp tools of DEG database. Functional pathway assessment of 424 essential proteins revealed 117 metabolically active proteins using KAAS server and a total of 7 non homologous proteins exclusive to the pathogen were identified using BLASTp algorithm.

After screening the druggability of 7 proteins in Drug Bank Database, 4 proteins were shortlisted and further analyzed for subcellular localization using PSORTb tool. After survey of the existing literature, type II secretory pathway gspe-related protein has been identified and predicted to be the best possible target for drug designing. The present work reports for the first time that type II secretory system could serve as drug target and therefore, opens a new avenue for in silico screening of novel molecules for effective control of bacterial wilt in future.

KEYWORDS:

Drug Design, Ralstonia Solanacearum, Subtractive Genome Analysis, Wilt Disease.

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Mandal J, Sinha S. In Silico Identification of Protein in Ralstonia solanacearum, A Bacterial Wilt Pathogen for Drug Target By Subtractive Genomic Analysis. Biosc.Biotech.Res.Comm. 2021;14(1).


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Mandal J, Sinha S. In Silico Identification of Protein in Ralstonia solanacearum, A Bacterial Wilt Pathogen for Drug Target By Subtractive Genomic Analysis. Biosc.Biotech.Res.Comm. 2021;14(1). Available from: <a href=”https://bit.ly/36GJFcT”>https://bit.ly/36GJFcT</a>


INTRODUCTION

Soil born bacterium Ralstonia solanacearum is the most devastating plant pathogenic bacteria that causes wilt diseases in many wide varieties of plants (Yuliar, Nion, and Toyota, 2015). The strains of this pathogen can infect 450 plant species distributed in 54 botanical families, including potatoes, tomatoes, brinjal, tobacco etc. (Wicker et al., 2007). It invades through the wounded roots or natural opening and colonize in the vascular tissues and release viscous exopolysaccharide that causes obstruction in xylem conduction and lead to fatal wilting disease symptoms in the plants (Schell MA, 2000). Direct yield losses by R. solanacearum vary widely according to the host, cultivar, climate, soil type, cropping pattern.

It has been reported that it accounts for 80% loss in tobacco, 100% in banana, and up to 20% in the groundnut (Elphinstone, 2005; Somani et al., 2010).Ralstonia infection causes more than 50% crop loss in India and that may reach up to 75% in some parts of Karnataka (Gadewar et al., 1991). Bacterial wilt disease affects potato cultivation in different parts of India and accounts for 30 to 70 % crop loss in these areas (Somani et al., 2010). The control of bacterial wilt pathogen is very challenging. Difficulties are associated with controlling this pathogen due to its abilities to grow endophytically, long survival in the soil especially in the deeper layers, travel along water, and its relationship with weeds (Wang et al., 2005; Mansfield et al., 2012 Santana  et al., 2020; Yan and Gao, 2020).

The bacterial pathogen often undergoes VBNC (Viable but not culturable) state under unfavorable condition (Van Elsas et al., 2001). Furthermore, many environmental stresses weaken the defense systems of the plants allowing to proliferate Ralstonia and other bacterial endophytes inside the host. Conventional disease management practice such as preventive measures, cultural practices are inefficient to pre-existing infection and because of the pathogen’s diverse host range and persistence in the weeds and soil (Mbaka et al., 2013). Chemical pesticides such as algicide (3-[3-indolyl] butanoic acid), fumigants (Metam sodium, 1, 3-dichloropropene, and chloropicrin), and plant activators (validamycin A and validoxylamine) inducing systemic resistance in the tomato have been used to control bacterial wilt but with limited success (Ishikawa et al., 2007; Yuliar et al., 2015; Coutinho et al., 2017).

Copper compounds (copper hydroxide (CH), copper hydroxide-oxadixyl, and copper oxychloride-dithianon), and essential oils (Cinnamon oil, Clove oil) have been partially effective to control bacterial wilt. (Elphinstone, 2005; Lee et al., 2012). Many bactericides such as triazolothiadiazine [0.5 to 12 mM, in solution), streptomycin sulfate [400 mg kg−1 of soil] have been employed to control bacterial wilt pathogen with average rate of success (Khanum et al., 2005; Lin et al., 2010). Additionally, emergence antibiotic resistance and environmental pollution due to long-term use of chemical pesticides rendered bacterial wilt disease management very difficult. Although, there are many studies have been done employing biocontrol strategy to control bacterial wilt but of limited success due to inefficient colonization, narrow range and requirement of high inoculum of biocontrol agents.

Therefore, identification of novel pathogenic target protein and discovery of its corresponding drug could be an attractive alternative for controlling bacterial wilt disease (Whipps and Gerhardson, 2007; Coutinho et al., 2017).Rapid advancement in the field of biotechnology enabled us to have vast genomic data from the prokaryotic whole genome projects that in turn may be exploited for finding novel drug targets and virulent factors in microbes. With the availability of whole genome sequence, subtractive genome analysis has been evolved as a very efficient tool to identify novel drug targets and virulent factors in pathogenic microbes (Miesel et al., 2003; Amineni et al., 2010; Keshri et al., 2014).

Subtractive genome analysis is a smart technique to identify essential metabolic gene present exclusively in the pathogen having no homologue in the host and therefore, the targeted drug developed against the pathogenic essential metabolic gene will impair only the metabolic function of the pathogen leaving the host metabolism undisturbed (Vetrivel et al., 2011; Barh et al., 2011). Many possible drug targets have been identified in human pathogenic bacteria (Barh et al., 2011; Sudha et al., 2019; Santana  et al., 2020; Yan and Gao, 2020).

However, there are very few reports regarding drug target identification in plant pathogenic bacteria using in silico techniques (Allen et al., 2009; Silver, 2011). Subtractive hybridization technique has been exploited to underpin drug targets in rice bacterial pathogen, Xanthomonas by some researchers (Keshri et al., 2014; Prava et al., 2019). Although, the complete genome sequence of Ralstonia solanacearum is available in the data base, but there is no report available so far that have tried subtractive genome analysis to identify drug targets in this bacterium. Therefore, the present work is attempted to identify possible drug targets in Ralstonia solanacearum through subtractive genome analysis and other in silico analysis tools (Prava et al., 2019).

MATERIAL AND METHODS

The conceptual framework showing the methodology followed for the analysis.followed for the analysis.Subtractive genomic approach was applied for the identification of essential proteins in the Ralstonia solanacearum (GM1000) which were then analyzed for the identification potential drug targets. The identified drug target was then screened through Drug Bank database to evaluate druggability scope. Network based analysis was done for the identification of metabolic activity of target protein (Yu et al., 2010).

The complete proteome of Ralstonia solanacearum GM1000 strain was retrieved from UniProt (http://www.uniprot.org). The UniProt Knowledgebase is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation (The UniProt Consortium, 2019). Identification of nonhomologous protein and essential gene of Ralstonia solanacearum – Paralogous sequences were excluded from the complete proteome of Ralstonia solanacearum GM1000 strain by using CD-HIT at 80% threshold. BLASTp was performed for the remaining proteins against Solanaceae using threshold expectation value (E Value) 10-3 as parameter.

Non homologous protein sequences were then subjected to BLASTp against the database of essential genes (DEG) assessed at DEG database (http://tubic.tju.edu.cn/deg/) using E-Value cut off of 10-5, to screen out essential gene proteins (Li et al., 2001).KEGG Automatic annotation Server (KAAS) was accessed to analyze the metabolic pathway of the essential proteins of Ralstonia solanacearum GM1000 strain for the identification of potential drug target. The server performs BLASp comparisons of the query protein against Kyoto Encyclopedia of Genes and Genomes (KEGG) Genes Database (Moriya et al., 2007).

Sub Cellular localization of non-homologous essential proteins of bacteria illustrates their potential of becoming the possible drug targets. Therefore PSORTb tools at Expasy server was utilized to identify the subcellular localization of non-homologous essential protein sequences  (Yu et al., 2010). The modulation of the activity of a protein target with a small molecule of a drug accounts for its prospective druggability. Drug Bank Database was accessed to calculate the druggability potential of each identified drug target (Knox et al., 2011). BLASTp with default parameters was used to align the potential drug targets from Ralstonia solanacearum against the list of the of compounds found within the Drug Bank (Szklarczyk et al., 2019).

Selected indispensable proteins were then subjected to STRING database (http://string.embl.de) to construct protein-protein interaction network (Li, Jaroszewski and Godzik, 2001). Interactors with confidence score greater than or equal to 0.700 alone included here in the protein network and with low and medium confidence score were eliminated to avoid false positive and false negative results. Target protein with more interactors is considered as a metabolically active protein which could serve as appropriate Drug target (Peyraud et al., 2017; Szklarczyk et al., 2019).

RESULTS AND DISCUSSION

The main goal of the subtractive genomic analysis was to examine Rolastonia solanacearum GM1000 strain critical proteins as a possible drug target for future strategic drug discovery. Total 5106 proteins of total proteome were originally obtained from Ralstonia solanacearum GM1000 Uniprot database. The CD-HIT tool was used to differentiate paralogous and non-paralogous proteins. 134 paralogous proteins were screened and 4972 non paralogous sequence of proteins were selected for further analysis.

The selected proteins were assessed against Solanaceae proteome in BLASTp, with an E-value cut off 10-3. Selected non homologous proteins were employed for the identification of essential gene using BLASTp tools of DEG database at default parameter settings. The analysis identified 465 essential proteins. There are 41 hypothetical proteins were identified which were finally excluded in this study. The essential proteins of bacteria are expected to be involved in housekeeping and are important for the survival of pathogen.

Total no of protein                                                                                                      5106

Duplicate (>80% identical) in CD-HIT                                                                       134

Essential proteins in DEG (E-value 10-5)                                                                     465

Number of hypothetical proteins as essential proteins                                                    41

Essential proteins involved in metabolic pathway                                                       117

Unique metabolic pathway essential proteins                                                                  7

Essential proteins found to be druggable                                                                        4

Functional pathway assessment of 424 essential proteins were conducted using KAAS server. Among 424 proteins 117 proteins were found to be involved in different metabolic pathway of the pathogen. These 117 proteins were further analyzed by the BLASTp algorithm for the comparison of metabolic pathway in Ralstonia solanacearum proteome and Solanum tuberosum proteome as a reference organism of Solanaceae family to exclude the common pathway. Total seven pathogen specific pathways of Ralstonia solanacearum GM 1000 were identified by KEGG which were absent in Solanaceae family. Total seven nonhomologous proteins were identified.

that are thought to be essential and involved in pathogens unique metabolic pathway. Therefore, new drugs may be designed to target these essential proteins to inhibit one or more of these metabolic pathways thereby controlling the growth and viability of the pathogenic strain Ralstonia solanacearum GM 1000. The total seven non homolog essential proteins (Table1) so obtained were verified within Drug Bank Database for possible druggability and four essential non homologous proteins (Table 2) were identified to have druggability potential. Thereafter, the four selected proteins were then subjected to PSORTb for their sub cellular localization.

Table 1. Unique metabolic pathway essential proteins     

Sl no DEG ID UNIPROT ID/ DRUGGABILITY METABOLIC PATHWAY
1 DEG10570448 Q8XW91

Druggable

QUORUM SENSING

 

2. DEG10570275 Q8XX10

Druggable

BACTERIAL SECRETION SYSTEM
3.  

DEG10570247

Q8Y3B8

Druggable

PEPTITOGLYCAN BIOSYNTHESIS

BETA LACTAM RESISTANCE

4.  

DEG10570255

Q8XVI1

Druggable

BETA LACTAM RESISTANCE

PEPTIDOGLYCAN BIOSYNTHESIS

5.  

DEG10570232

Q8XQ85

Not Druggable

BACTERIAL CHEMOTAXIS
6.  

DEG10570446

Q8XVG2

Not Druggable

QUORUM SENSING
7.  

DEG10570220

Q8XX15

Not Druggable

BACTERIAL SECRETION SYSTEM

Sub Cellular Localization

Name of Protein Uniprot ID Location
Probable conjugal transfer protein trbb Q8XW91 cytoplasmic
Probable type II secretory pathway gspe-related protein (RSc2308) Q8XX10 cytoplasmic
Peptidoglycan D, D-transpeptidase MrdA Q8Y3B8 cytoplasmic
Peptidoglycan D, D-transpeptidase FtsI Q8XVI1 Cytoplasmic Membrane


Table 2. Non homologous essential protein of Ralstonia solanacearum strain similar to binding pattern of FDA approved drugs against DrugBank database using BLASTp

Sl. no Protein name DrugBank ID Uniprot ID
1. Conjugal transfer protein trbb DB02930

DB04395

Q8XW91
2. Type II secretory pathway gspe-related protein (RSc2308) DB04395

DB02930

Q8XX10
3. Peptidoglycan D, D-transpeptidase MrdA DB01413, DB00438, DB14879, DB01598, DB01329, DB01327, DB01163, DB01163, DB01328, DB01413, DB01415, DB00948, DB00438, DB00303, DB00671, DB01326, DB00923DB00355, DB00493, DB04570, DB01413, DB01147, DB09050, DB06211, DB14879

DB04918DB00274, DB00430, DB01607, DB01000

DB02443, DB02968, DB04041, DB01603, DB00417

 

Q8Y3B8
4. Peptidoglycan D, D-transpeptidase FtsI

 

DB01413, DB01147, DB09050,
DB06211, DB14879DB04918, DB00267, DB01416,
DB01329, DB01327, DB01331, DB01328, DB01413, DB01415, DB00430DB05659DB00535, DB04918, DB01150DB03190
Q8XVI1

Earlier, 20 proteins of Ralstonia solanacearum were targeted for drug design having Protein Data Bank (PDB) ID of 3ZI8, 4I68, 4KF9, 4FDB, 3UMB, 3TMB, 3TOT, 3TOU, 3NPN, 3NPQ, 3LOP, 3GG9, 3GHY, 3EN2, 2QGU, 2CHH, 2BT9, 2BS5, 2BS6, 1UQX. (Kotaki and Saikia, 2015). Peptidoglycan D, D-transpeptidase MrdA, Peptidoglycan D, D-transpeptidase FtsI, Type II secretory pathway gspe-related protein were identified as the best predicted protein for drug target in this study. Type II secretion system is a virulent factor of R. solanacearum (Peeters et al., 2013). Inhibition of Quarum sensing protein can only prevent biofilm formation of pathogenic bacteria without any apparent direct effect on survivability. However, Peptidoglycan D, D-transpeptidase MrdA,

Peptidoglycan D, D-transpeptidase FtsI protein as drug targets have already been reported and efforts have been taken for drug design in many human pathogenic bacterial strains, but these drug targets are inapplicable for Ralstonia solanacearum strains as β lactam antibiotics are less effective in controlling bacterial wilt disease (Souvage and Terrak, 2016; Waack et al., 2017).  Different Secretion systems of bacteria are very attractive targets for alternative therapeutics because their inactivation interferes with the delivery of secreted virulence factors.  There are many cell walls degrading enzymes are secreted through Type II secretory system (T2SS) in Ralstonia solanacearum. Therefore, inhibitor of Type II secretory system (T2SS) could be a good alternative for drug design.

Rsc2308 (UniProtKB ID- Q8XX10) is the Type II secretory pathway gspe-related protein of Ralstonia solanacearum associated with secretory system of bacteria which is responsible for pathogenicity. Therefore. Type II secretory pathway gspe-related protein (RSc2308) of Ralstonia solanacearum could be a promising drug target for future drug design that has not been properly addressed so far. Network based analysis showed that this protein Rsc3208 is interconnected with eighteen proteins in network with combined score greater than 0.7 (Table3) (Salanoubat et al., 2001; Waack et al., 2017).

So, it may be assumed that this Type II secretory pathway gspe- related protein is a highly metabolically active protein and inhibition of this protein may arrest the growth of the bacteria.  Therefore, the present work opens a new avenue for searching novel drug compounds that may interact with the target Type II secretory pathway gspe-related protein (RSc2308) and may pave the path for new control strategy (Souvage and Terrak, 2016).

Figure 1

Figure 1: Interaction among Type II secretory pathway gspe-related protein (RSc2308) and other proteins of R. solanacearum.

Table 3. Interaction among Type II secretory pathway gspe-related protein (RSc2308) and other proteins of R. solanacearum and their combined score.

node1 node2 node1 string id node2 string id combined_score
RSc2300 RSc2308 267608.RSc2300 267608.RSc2308 0.762
RSc2301 RSc2308 267608.RSc2301 267608.RSc2308 0.922
RSc2302 RSc2308 267608.RSc2302 267608.RSc2308 0.886
RSc2303 RSc2308 267608.RSc2303 267608.RSc2308 0.955
RSc2304 RSc2308 267608.RSc2304 267608.RSc2308 0.867
RSc2305 RSc2308 267608.RSc2305 267608.RSc2308 0.884
RSc2306 RSc2308 267608.RSc2306 267608.RSc2308 0.887
RSc2307 RSc2308 267608.RSc2307 267608.RSc2308 0.845
RSc2309 RSc2308 267608.RSc2309 267608.RSc2308 0.981
RSc2310 RSc2308 267608.RSc2310 267608.RSc2308 0.869
RSp0143 RSc2308 267608.RSp0143 267608.RSc2308 0.772
RSp0149 RSc2308 267608.RSp0149 267608.RSc2308 0.884
RSp0467 RSc2308 267608.RSp0467 267608.RSc2308 0.882
RSp0474 RSc2308 267608.RSp0474 267608.RSc2308 0.715
gspD RSc2308 267608.RSc3114 267608.RSc2308 0.756
gspF RSc2308 267608.RSc3116 267608.RSc2308 0.895
pilC RSc2308 267608.RSc2826 267608.RSc2308 0.896
pilD RSc2308 267608.RSc2827 267608.RSc2308 0.790

CONCLUSION

Subtractive genome analysis revealed possible drug targets in many human pathogenic bacteria and only few in plant pathogenic bacteria. In silico identification of possible drug target in Ralstonia solanacearum is completely lacking. Therefore, the present work probably is the first report underpinning the druggability of type II secretory pathway gspe-related protein of Ralstonia solanacearum through subtractive genome analysis. The gspe-related protein is essential in type-2 secretion pathway for secreting cell wall degrading enzymes that are key to host penetration and colonization. Therefore, targeting the protein with new drugs may prevent host colonization and survival in the weeds thereby offering a good strategy for controlling the pathogen in future.

ACKNOWLEDGEMENTS

The present work has not been supported financially by any funding agencies. The authors would like to acknowledge Department of Botany, Vivekananda Mahavidyalaya, Haripal Hooghly for necessary support.

Conflict of Interest:The authors declare that there is no conflict of interests.

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