Dataset Information

Terpenes a common language between fungi and bacteria

ABSTRACT: Previously, we investigated the effect of fungal VOCs on the behavior of phylogenetically different soil bacteria (Schmidt et al 2015). In these experiments we showed that VOCs emitted by several fungi can lead to phenotypical responses in bacteria, for example, by inducing a change in motility (Schmidt et al 2015). We observed that the plant pathogenic fungus Fusarium culmorum produced a unique cluster of VOCs consisting primarily of terpenes. When exposed to the VOCs emitted by this fungus, the rhizobacterium Serratia plymuthica PRI-2C responded with an induction of motility. It is plausible that in soil, microorganisms sense changes in their environments via shifts in VOCs blend and adapt their behavior accordingly (Garbeva et al 2014). Although several studies indicated that VOCs can be used as signaling molecules in microbial inter-species interactions, the following questions remain unanswered as how are VOCs perceived as signals by the microorganisms and which regulatory pathways and genes are involved in the response? To answer these questions, the rhizosphere isolate S. plymuthica PRI-2C was grown alone or exposed to VOCs emitted by F. culmorum. The bacterial transcriptome and proteome were analyzed under each situation to identify the molecular basis of the bacterial response to fungal VOCs.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Serratia Plymuthica Pri-2c

SUBMITTER: Daniela Zuehlke

LAB HEAD: Katharina Riedel

PROVIDER: PXD004819 | Pride | 2018-07-19

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	150907_S1_U2_DZ_Splym_11C_5ul_IMSe_ST1s_1.raw.zip	Raw
	150907_S1_U2_DZ_Splym_11C_5ul_IMSe_ST1s_1_20160408093032.zip	Other
	150907_S1_U2_DZ_Splym_11C_5ul_IMSe_ST1s_2.raw.zip	Raw
	150907_S1_U2_DZ_Splym_11C_5ul_IMSe_ST1s_2_20160408093403.zip	Other
	150907_S1_U2_DZ_Splym_11C_5ul_IMSe_ST1s_3.raw.zip	Raw

Items per page:

1 - 5 of 73

Publications

Fungal volatile compounds induce production of the secondary metabolite Sodorifen in Serratia plymuthica PRI-2C.

Schmidt Ruth R Jager Victor de V Zühlke Daniela D Wolff Christian C Bernhardt Jörg J Cankar Katarina K Beekwilder Jules J Ijcken Wilfred van WV Sleutels Frank F Boer Wietse de W Riedel Katharina K Garbeva Paolina P

Scientific reports 20170413 1

The ability of bacteria and fungi to communicate with each other is a remarkable aspect of the microbial world. It is recognized that volatile organic compounds (VOCs) act as communication signals, however the molecular responses by bacteria to fungal VOCs remain unknown. Here we perform transcriptomics and proteomics analyses of Serratia plymuthica PRI-2C exposed to VOCs emitted by the fungal pathogen Fusarium culmorum. We find that the bacterium responds to fungal VOCs with changes in gene and ...[more]

PMID: 28408760

Similar Datasets

Project description:Growth differentiation factor 11 (GDF11), also known as bone morphogenetic protein 11 (BMP11) is a member of the Growth differentiation factors (GDFs), a subfamily of proteins belonging to the transforming growth factor-beta (TGF-β) superfamily (Katoh and Katoh 2006). ). In the past 7-8 years, several high profile studies, showed that systemic restoration of GDF11 levels reverses age-related phenotypes and rejuvenated heart and skeletal muscle in aged mice (Loffredo, Steinhauser et al. 2013, Sinha, Jang et al. 2014), improves insulin sensitivity via restoring pancreatic β-cell function in diabetic mice (Li, Li et al. 2017), and increases proliferation of brain capillary endothelial cells thereby improving the vascular and neurogenic rejuvenation in the brain of aged mice (Katsimpardi, Litterman et al. 2014, Finkenzeller, Stark et al. 2015, Zhang, Guo et al. 2018). Nonetheless, the possible rejuvenation effect of GDF11 was questioned over past years by several other studies. These reports doubted the age-associated decrease of circulating GDF11 level and related phenotypes in the muscle, the heart and the brain (Egerman, Cadena et al. 2015, Rodgers and Eldridge 2015); moreover, restoration of GDF11 levels in old mice had no positive effect on heart structure or function (Smith, Zhang et al. 2015). Increase of GDF11 levels had deleterious effects on aging skeletal muscle regeneration (Egerman, Cadena et al. 2015), suggesting also that supraphysiological levels could lead to cachexia (Hammers, Merscham-Banda et al. 2017). In the field of liver diseases, GDF11 was shown to exhibit tumor suppressive properties in HCC cells (Zhang, Pan et al. 2018, Gerardo-Ramírez, Lazzarini-Lechuga et al. 2019) and to worsen hepatocellular injury and liver regeneration after liver ischemia reperfusion injury (Liu, Dong et al. 2018). From these controverted studies, it is clear that the systemic effects of GDF11 in health and disease are not yet clearly and fully delineated. The aim of the present study was to specifically characterize the role of GDF11 in lipid metabolism and in the progression of the NAFLD disease spectrum, which is currently unknown. We thus aimed at investigating the potential effect of GDF11 on lipid droplet formation in human hepatocytes. Our data strongly suggest that GDF11 supplementation exacerbates, both in presence or absence of FFA, lipid droplet accumulation in two hepatic cell models (HepG2 and Hep3B) by impinging on ALK5/SMAD2/3 dependent signaling pathway.

Project description:Ependymomas are neuroepithelial tumors of the central nervous system (CNS), presenting in both adults and children but accounting for almost 10% of all pediatric CNS tumors and up to 30% of CNS tumors in children under 3 years (Bouffet et al., 2009; McGuire et al., 2009; Rodriguez et al., 2009). In children, most ependymomas arise in the posterior fossa, while most adult ependymomas present around the lower spinal cord and spinal nerve roots. Ependymomas display a wide range of morphological features, and several variants are listed in the World Health Organization (WHO) classification (Ellison et al., 2016). These variants are assigned to three WHO grades (I-III), but the clinical utility of this classification is acknowledged to be limited (Ellison et al., 2011). An increasing understanding of the genomic landscape of ependymoma and the discovery of distinct molecular groups by DNA methylation or gene expression profiling have begun to refine approaches to disease classification and prognostication, but have yet to be translated into clinical routine (Hoffman et al., 2014; Mack et al., 2014; Pajtler et al., 2017; Pajtler et al., 2015; Parker et al., 2014; Wani et al., 2012; Witt et al., 2011). Our comprehensive study of DNA methylation profiling across the entire disease demonstrated three molecular groups for each major anatomic compartment: supratentorial (ST), posterior fossa (PF), and spinal (SP) (Pajtler et al., 2015). In the ST compartment, two molecular groups (ST-EPN-RELA and ST-EPN-YAP1) align with tumors harboring specific genetic alterations, RELA and YAP1 fusion genes, which were initially discovered in a whole genome sequencing study (Parker et al., 2014). Among PF ependymomas, two of three molecular groups, PFA (PF-EPN-A) and PFB (PF-EPN-B), account for nearly all tumors; PF-SE tumors are rare, generally showing the morphology of a subependymoma (Pajtler et al., 2015). PFA tumors are found mainly in infants and young children (median age ≈ 3yrs) and have a relatively poor outcome, while PFB tumors are generally found in young adults (median age ≈ 30yrs) and are associated with a better prognosis (Pajtler et al., 2015; Witt et al., 2011). PFA tumors show few copy number alterations (CNAs), while PFB tumors harbor multiple CNAs that tend to affect entire chromosomes. While recurrent structural variants (SVs) are found in ST ependymomas, recurrent SVs or other mutations, such as single nucleotide variants (SNVs) and insertions or deletions (indels), have not been identified in PF ependymomas to date (Mack et al., 2014; Parker et al., 2014).