Interrelation between Stress Management and Secretion Systems of Ralstonia solanacearum : An In Silico Assessment
Ralstonia solanacearum (Rs), the causative agent of devastating wilt disease in several major and minor economic crops, is considered one of the most destructive bacterial plant pathogens. However, the mechanism(s) by which Rs counteracts host-associated environmental stress is still not clearly elucidated. To investigate possible stress management mechanisms, orthologs of stress-responsive genes in the Rs genome were searched using a reference set of known genes. The genome BLAST approach was used to find the distributions of these orthologs within different Rs strains. BLAST results were first confirmed from the KEGG Genome database and then reconfirmed at the protein level from the UniProt database. The distribution pattern of these stress-responsive factors was explored through multivariate analysis and STRING analysis. STRING analysis of stress-responsive genes in connection with different secretion systems of Rs was also performed. Initially, a total of 28 stress-responsive genes of Rs were confirmed in this study. STRING analysis revealed an additional 7 stress-responsive factors of Rs, leading to the discovery of a total of 35 stress-responsive genes. The segregation pattern of these 35 genes across 110 Rs genomes was found to be almost homogeneous. Increasing interactions of Rs stress factors were observed in six distinct clusters, suggesting six different types of stress responses: membrane stress response (MSR), osmotic stress response (OSR), oxidative stress response (OxSR), nitrosative stress response (NxSR), and DNA damage stress response (DdSR). Moreover, a strong network of these stress responses was observed with type 3 secretion system (T3SS), general secretory proteins (GSPs), and different types of pili (T4P, Tad, and Tat). To the best of our knowledge, this is the first report on overall stress response management by Rs and the potential connection with secretion systems.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
|---|---|
| Enthalten in: |
Pathogens (Basel, Switzerland) - 11(2022), 7 vom: 27. Juni |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Banerjee, Goutam [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Bacterial stress management |
|---|
| Anmerkungen: |
Date Revised 31.07.2022 published: Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.3390/pathogens11070730 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM344097676 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM344097676 | ||
| 003 | DE-627 | ||
| 005 | 20231226021956.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3390/pathogens11070730 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1146.xml |
| 035 | |a (DE-627)NLM344097676 | ||
| 035 | |a (NLM)35889976 | ||
| 035 | |a (PII)730 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Banerjee, Goutam |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Interrelation between Stress Management and Secretion Systems of Ralstonia solanacearum |b An In Silico Assessment |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 31.07.2022 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Ralstonia solanacearum (Rs), the causative agent of devastating wilt disease in several major and minor economic crops, is considered one of the most destructive bacterial plant pathogens. However, the mechanism(s) by which Rs counteracts host-associated environmental stress is still not clearly elucidated. To investigate possible stress management mechanisms, orthologs of stress-responsive genes in the Rs genome were searched using a reference set of known genes. The genome BLAST approach was used to find the distributions of these orthologs within different Rs strains. BLAST results were first confirmed from the KEGG Genome database and then reconfirmed at the protein level from the UniProt database. The distribution pattern of these stress-responsive factors was explored through multivariate analysis and STRING analysis. STRING analysis of stress-responsive genes in connection with different secretion systems of Rs was also performed. Initially, a total of 28 stress-responsive genes of Rs were confirmed in this study. STRING analysis revealed an additional 7 stress-responsive factors of Rs, leading to the discovery of a total of 35 stress-responsive genes. The segregation pattern of these 35 genes across 110 Rs genomes was found to be almost homogeneous. Increasing interactions of Rs stress factors were observed in six distinct clusters, suggesting six different types of stress responses: membrane stress response (MSR), osmotic stress response (OSR), oxidative stress response (OxSR), nitrosative stress response (NxSR), and DNA damage stress response (DdSR). Moreover, a strong network of these stress responses was observed with type 3 secretion system (T3SS), general secretory proteins (GSPs), and different types of pili (T4P, Tad, and Tat). To the best of our knowledge, this is the first report on overall stress response management by Rs and the potential connection with secretion systems | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a GSP | |
| 650 | 4 | |a T3SS | |
| 650 | 4 | |a bacterial stress management | |
| 650 | 4 | |a host-mediated stress | |
| 650 | 4 | |a pili | |
| 650 | 4 | |a protein–protein interaction | |
| 700 | 1 | |a Quan, Fu-Shi |e verfasserin |4 aut | |
| 700 | 1 | |a Mondal, Amit Kumar |e verfasserin |4 aut | |
| 700 | 1 | |a Sur, Shantanu |e verfasserin |4 aut | |
| 700 | 1 | |a Banerjee, Pratik |e verfasserin |4 aut | |
| 700 | 1 | |a Chattopadhyay, Pritam |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Pathogens (Basel, Switzerland) |d 2011 |g 11(2022), 7 vom: 27. Juni |w (DE-627)NLM22512761X |x 2076-0817 |7 nnns |
| 773 | 1 | 8 | |g volume:11 |g year:2022 |g number:7 |g day:27 |g month:06 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3390/pathogens11070730 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 11 |j 2022 |e 7 |b 27 |c 06 | ||