Banerjee Goutam, Quan Fu-Shi, Mondal Amit Kumar, Sur Shantanu, Banerjee Pratik, Chattopadhyay Pritam
Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Medical Zoology, Kyung Hee University School of Medicine, Seoul 02447, Korea.
Pathogens. 2022 Jun 27;11(7):730. doi: 10.3390/pathogens11070730.
(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.
茄科雷尔氏菌（Rs）是几种主要和次要经济作物毁灭性青枯病的病原体，被认为是最具破坏性的细菌性植物病原体之一。然而，Rs应对宿主相关环境胁迫的机制仍未明确阐明。为了研究可能的胁迫管理机制，利用一组已知基因作为参考，在Rs基因组中搜索胁迫响应基因的直系同源物。采用基因组BLAST方法来查找这些直系同源物在不同Rs菌株中的分布情况。BLAST结果首先在KEGG基因组数据库中得到确认，然后在蛋白质水平上从UniProt数据库中再次确认。通过多变量分析和STRING分析探索了这些胁迫响应因子的分布模式。还对与Rs不同分泌系统相关的胁迫响应基因进行了STRING分析。最初，本研究共确认了28个Rs胁迫响应基因。STRING分析又揭示了另外7个Rs胁迫响应因子，从而发现了总共35个胁迫响应基因。发现这35个基因在110个Rs基因组中的分离模式几乎是均匀的。在六个不同的簇中观察到Rs胁迫因子之间的相互作用增加，表明存在六种不同类型的胁迫响应：膜胁迫响应（MSR）、渗透胁迫响应（OSR）、氧化胁迫响应（OxSR）、亚硝化胁迫响应（NxSR）和DNA损伤胁迫响应（DdSR）。此外，观察到这些胁迫响应与3型分泌系统（T3SS）、一般分泌蛋白（GSPs）以及不同类型的菌毛（T4P、Tad和Tat）之间存在强大的网络联系。据我们所知，这是关于Rs整体胁迫响应管理及其与分泌系统潜在联系的首次报道。
