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Analysis of bioactive lipids from different infection models during bacterial and viral infections
(2021)
Bioactive lipids or lipid mediators influence numerous processes like the reproduction, the bone turnover, the pain perception, the cardiovascular function and the immune system. Eicosanoids and oxylipins are parts of the immunomodulatory lipid mediators, which can be synthesized from polyunsaturated fatty acids (PUFAs) by enzymatic and non-enzymatic reactions. Typical members of eicosanoids are prostaglandins and leukotrienes. The properties of bioactive lipids include the activation of inflammatory reactions as well as the support of resolution. Like hormones, they act locally restricted and in low concentrations. Further bioactive lipids exist i.e. intermediates of the sphingolipid class. The biosynthesis of some of these compounds like the prostaglandins can be influenced by different drugs whereas for other groups of lipid selective inhibitors are still missing. Their impact on inflammatory processes and against chronic diseases has already been analyzed, while studies in context with infection are largely limited. Infection of the upper respiratory tract caused by viral and bacterial pathogens constitute a huge burden for the human healthcare. The main pathogens are the Influenza A virus (IAV), Staphylococcus aureus (S. aureus), Streptococcus pneumoniae (S. pneumoniae) and Streptococcus pyogenes (S. pyogenes). Besides mono-infection with one of these pathogens, frequently occurring bacto-viral co-infections exist, which negatively influence the etiopathology. The main task of the immune system is the detection and the elimination of pathogens, which can essentially be affected by lipid mediators. Their instability due to oxidizability, the existence of regioisomers and the low abundance of eicosanoids and other oxylipins are the main problems for their analytical measurement.
The mayor objective of this dissertation was the establishment of a suitable analytical method for selected lipid mediators and the detection of infection-related changes. The separation and detection was performed by using high-performance liquid chromatography (HPLC) coupled with triple quad mass spectrometry. This combination is called tandem mass spectrometry (MS/MS). The MS parameters were optimized for approximately 30 lipid mediators by use of chemical standards and the detection was achieved by dynamic multiple reaction monitoring (MRM). Furthermore, the spatial resolution of selected sphingolipids was analyzed in tissue samples using matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MS-Imaging). Concerning the HPLC-MS/MS detection, an MS method was established and optimized with standard compounds. Another crucial part of the establishment was the extraction of bioactive lipids from the different sampling materials. Whereas well tested protocols exist for the extraction and detection of lipid mediators, such protocols for MALDI-MS-Imaging are still limited due to the novelty of this measurement. Ultimately, robust and reproducible protocols for both techniques that were used for the analysis of a broad array of samples from infection experiments were established for both techniques. The analyses of infected cell culture, mice and pigs revealed infection-related perturbations of host lipid mediator levels. Depending on the scientific issue, the sample types cell pellets, lungs, spleens, livers, blood plasmas, pawns including bones or bronchoalveolar lavages were analyzed. For MALDI-MS-Imaging, the spatial distribution of sphingolipids in lung and spleen was detected.
The present dissertation includes four coherent research scopes, in which the pathogen impact on host-derived lipid mediators was detected with the above mentioned analytical methods. The infection models epithelial cells (article II), mouse (article III and IV) and pig (article I) – the latter as the most human like model - showed different aspects of the host-pathogen interaction. The analysis of samples from IAV infection for all three hosts revealed a couple of similarities for some oxylipins that were also described in human infections. Additionally, cell culture and mouse samples from mono-infections as well as co-infections with the pathogens S. aureus and S. pneumoniae were measured. In particular for the bacterial mono- and co-infections, these are the first published results with aspects of infection related changes of lipid mediators. The additional spatial resolution of the sphingolipid intermediates sphingosine 1-phosphate and ceramide 1-phosphate revealed important new insights into their tissue distribution and changes during co-infection.
Article I describes the IAV-specific oxylipin changes in the pig (german landrace) as infection model. Therefore, the sample types lung, spleen, blood plasma, and bronchoalveolar lavage from infected animals at different time points after infection were analyzed and compared with samples from uninfected pigs. Mainly in the lung and the spleen, increased amounts of certain lipid mediators were observed. These changes coincide well with already described alterations in humans and mice. Furthermore, the analysis of different sample material provided an overview about appropriate sample types. Surprisingly, many perturbations were detected in the spleen, which itself was uninfected. Based on the local reaction of lipid mediators, most studies concentrate on sample material with close contact to side of infection. Therefore, this dissertation reveals new insights into a form of systemic immune response. Besides the use of animals with a complex immune system for infection experiments, human bronchial epithelial cells (16HBE) were mono- and co-infected with the pathogens S. aureus, S. pneumoniae and IAV as described in article II. Such cells are the initial barrier for and first contact site with pathogens and thus the comprehension of this host-pathogen interaction is of essential importance. Most changes were detected during pneumococcal infection. Furthermore, the analyzed infections with bacterial pathogens differed from IAV infection by an increased synthesis of 5-hydroxyeicosatetraenoic acid (HETE). For further infections with the above mentioned pathogens, the mouse was used as an infection model. Besides infections affecting the respiratory tract, also the impact of an S. pyogenes infection in different mice strains was analyzed and described in article III. Infection-related changes in prostaglandins, which are involved in bone turnover in swollen pawns as well as enhanced amounts of sepsis- and arthritis-associated lipid mediators were detected, in case arthritis had been induced prior to infection. Furthermore, increased amounts of 20-HETE could be observed for such severe infections. An enhanced biosynthesis of 20-HETE was further confirmed in a high-pathogenic S. aureus LUG2012 infection in article IV for all examined sample types. In this last article of this dissertation, bacterial and viral infections in mice were analyzed similar to those described in article II. Mainly IAV-specific lipid mediator alterations were detected, which are in accordance with the findings of the infected pigs. The additional MALDI-MS-Imaging measurements revealed so far unknown accumulation of ceramide 1-phosphate in lung and spleen as well as enrichment in the red pulp of the spleen.
In summary, this dissertation provides substantial lipid mediator profiles for infections in three different model systems with selected bacterial and viral pathogens. The obtained data constitute a suitable basis for continuative research projects, in which the influence of single bioactive lipids on the course of infection could be examined in more detail.
Periodontitis is one of the most prevalent oral diseases worldwide caused by multifactorial interactions between host and oral bacteria. Altered cellular metabolism of host and microbes releases a number of intermediary end-products known as metabolites. Recently, there is an increasing interest in identifying metabolites from oral fluids like saliva to widen the understanding of the complex pathogenesis of periodontitis. It is believed, that some metabolites might serve as indicators toward early detection and screening of periodontitis and perhaps even for monitoring its prognosis in the future. Because contemporary periodontal screening methods are deficient, there is an urgent need for novel approaches in periodontal screening procedures. To this end we associated oral parameters (clinical attachment level, periodontal probing depth, supragingival plaque, supragingival calculus, number of missing teeth, and removable denture) with a large set of salivary metabolites (n=383) obtained by mass spectrometry among a subsample (n=909) of non-diabetic participants of the Study of Health in Pomerania (SHIP-Trend-0). Linear regression analyses were performed in age-stratified groups and adjusted for potential confounders. A multifaceted image of associated metabolites (n=107) with considerable differences according to age groups was revealed. In the young (20-39 years) and middle-aged groups (40-59 years), we found metabolites predominantly associated with periodontal variables; whereas among the older subjects (60 + years), tooth loss was strongly associated with metabolite levels. Metabolites associated with periodontal variables were clearly linked to tissue destruction, host- defence mechanisms and bacterial metabolism. Across all age groups, the bacterial metabolite phenylacetate was significantly associated with periodontal variables. Our results revealed alterations of the salivary metabolome in association with age and oral health status. Among our comprehensive panel of metabolites, periodontitis was significantly associated with the bacterial metabolite phenylacetate, a promising substance for further biomarker research.
The thyroid gland is of crucial importance in human metabolism. Its main secretion products, L-thyroxine (T4) and 3,3’,5-triiodo-L-thyronine (T3), are essential for proper development of multiple tissues and organs as well as for their functioning in the adult organism. The secretion of thyroid hormones (TH) is stimulated by thyrotropin (TSH) released from the pituitary gland. This tight connection between both hormones is of crucial importance for the clinical diagnosis of thyroid dysfunction. During the last two decades the concept of TH action developed to increased complexity. However, most of the recent advances in the field of TH research are based either on cell culture, tissue or animal models or stem from studies investigating specific hypotheses in humans. Thus, experimental approaches for the comprehensive, hypothesis-free characterization of metabolic effects of classical and non-classical TH in human are urgently needed. This holds true in particular for the TH derivative 3,5-diiodothyronine (3,5-T2). It was described to alleviate the typical detrimental metabolic consequences of a high-fat diet and even reversed hepatic steatosis. To replicate these experimental findings from rodents in humans, comprehensive data from the population-based Study of Health in Pomerania (SHIP) was analyzed in the present work. Based on a euthyroid, diabetes-free SHIP-subsample (N=761), non-linear associations between the serum concentrations of 3,5-T2 and glucose as well as TSH were detected. In contrast, no significant 3,5-T2 associations with several anthropometric markers or blood lipid parameters were observed, partially questioning the transferability of the beneficial metabolic 3,5-T2 effects reported for pharmacological intervention studies on rodents to humans. Recent advances in technological development now allow for the use of high-throughput spectrometric platforms to characterize the small molecule content (metabolome) of blood and urine samples. The detected metabolome constituents can be associated with any relevant parameters of interest, thereby extending the scope of classical association studies. Therefore, in the second part of the present thesis, the metabolic fingerprints of FT4, TSH as well as the ratio log(TSH)/FT4 as markers of thyroid function were profiled. Strong differences between the metabolic fingerprints of FT4 and TSH were observed, partially alleviated by the log(TSH)/FT4 ratio. These findings not only emphasize the high diagnostic value of the combined evaluation of TSH and FT4 in the assessment of thyroid function but additionally argue for a holistic approach in the diagnosis of thyroid function. More moderate endogenous effects of 3,5-T2 were evaluated by comparing its urinary metabolic fingerprint with that of the classical TH. A number of associations became apparent, indicating a function of endogenous 3,5-T2 in intermediary metabolism. Besides partially confirming associations with respect to the presented findings in animal studies, the strongest 3,5-T2-association was observed with trigonelline, a metabolite described earlier to exhibit similar beneficial effects as 3,5-T2 on glucose metabolism when used as a pharmacological agent in animal studies. An association towards hippurate indicated a partial overlap with the metabolic profile of TSH and hence consolidated results from the first two projects in the sense of a thyromimetic role of 3,5-T2 in the feedback regulation of TH. The diagnosis of thyroid disorders based on the classical markers TSH and FT4 suffers from restricted sensitivity in the subclinical range as both parameters have broad reference ranges in the general population. Therefore, in an approach to detect novel peripheral biomarkers of thyroid function, sixteen healthy young men were challenged with 250 µg of levothyroxine (L-T4) over a period of eight weeks in the fourth project presented here as part of this thesis. Monitoring of the volunteers over a period of sixteen weeks allowed delineation of the metabolic shifts first towards thyrotoxicosis and later in the context of the restoration of euthyroidism. The use of mass spectrometry for the comprehensive characterization of the metabolite as well as the protein content of samples taken at the different time points revealed profound molecular alterations, despite the lack of any clinical symptoms in the volunteers. Molecular signatures of thyrotoxicosis indicated increased energy expenditure, pronounced defense against systemic oxidative stress, a general drop in apolipoproteins, as well as increased abundances of proteins related to the coagulation cascade and the complement system. Good and robust classification of the thyroid state independent of TSH and FT4 was achieved using random forest analysis with a subset of fifteen metabolites and proteins, indicating new options in the individualized diagnosis of thyroid disorders.
In vitro and in vivo analyses of mono- and mixed-species biofilms formed by microbial pathogens
(2022)
Microbial biofilms can be defined as multicellular clusters of microorganisms embedded in a self-produced extracellular matrix (ECM), which is primarily composed of polymeric biomolecules. Biofilms represent one of the most severe burdens in both industry and healthcare worldwide, causing billions of dollars of treatment costs annually because biofilms are inherently difficult to prevent, treat, and eradicate. In health care settings, patients suffering from cystic fibrosis, or patients with medical implants are highly susceptible to biofilm infections. Once a biofilm is formed, it is almost impossible to quantitatively eradicate it by mechanical, enzymatical, chemical, or antimicrobial treatment. Often the only remaining option to fully eradicate the biofilm is removing of the infected implant or body part. The primary reasons for the inherent resistance of biofilms against all forms of antimicrobial treatment are (I) a reduced metabolic activity of biofilm-embedded cells climaxing in the presence of metabolic inactive persister cells, as well as (II) the protective nature of the biofilm matrix acting as a (diffusion) barrier against antimicrobials and the host immune system. Consequently, there is an urgent need to better understand microbial biofilms from a structural and (patho-) physiological point of view in order to be able to develop new treatment strategies.
Therefore, the aims of this study were to investigate fundamental physiological properties of different clinically relevant single and multi-species biofilms, both in vitro and in vivo. Furthermore, the effectiveness of a novel treatment strategy using cold atmospheric pressure plasma was evaluated in vitro to treat biofilms of the pathogenic fungus C. albicans.
In article I, the intracellular and ECM protein inventory of Staphylococcus aureus during in vitro biofilm growth in a flow reactor was analyzed by liquid-chromatography coupled to tandem mass-spectrometry (LC-MS/MS) analysis combined with metabolic footprint analysis. This analysis showed that anaerobiosis within biofilms releases organic acids lowering the ECM pH. This, in turn, leads to protonation of alkaline proteins – mostly ribosomal proteins originating from cell lysis as well as actively secreted virulence factors – resulting in a positive net charge of these proteins. As a consequence, these proteins accumulate within the ECM and form an electrostatic network with negatively charged cell surfaces, eDNA, and metabolites contributing to the overall biofilm stability.
In article II, the in vivo metaproteome of the multi-species biofilm community in cystic fibrosis sputum was investigated. To this end, an innovative protocol was developed allowing the enrichment of microbial cells, the extraction of proteins from a small amount of cystic fibrosis sputum, and subsequent metaproteome analysis. This protocol also allows 16S sequencing, metabolic footprint analysis, and microscopy of the same sample to complement the metaproteome data. Applying this protocol, we were able to significantly enhance microbial protein coverage providing first insights into important physiological pathways during CF lung infection. A key finding was that the arginine deaminase pathway as well as microbial proteases play a so far underappreciated role in CF pathophysiology.
In articles III and IV, a novel treatment strategy for biofilms formed by the important fungal pathogen Candida albicans was evaluated in vitro. Biofilms were treated with two different sources of nonthermal plasma (with the Nonthermal Plasma Jet “kINPen09” as well as with the Microwave-induced plasma torch “MiniMIP”) and the effect on growth, survival, and viability was assessed by counting colony-forming units (CFU), by cell proliferation assays, as well as by live/dead staining combined with fluorescence microscopy, confocal laser scanning microscopy, (CLSM) and atomic force microscopy (AFM). These tests revealed that biofilms were effectively inactivated mostly on the bottom side of biofilms, indicating a great potential of these two plasma sources to fight biofilms.
Interactions between bacteria and the human body are manifold and happen constantly. Most parts of the skin and gastrointestinal tract, the saliva, the oral mucosa, the conjunctiva and the vaginal mucosa are colonized with a multitude of bacterial species forming the human microbiota. Strikingly, the estimated amount of bacterial cells outnumbers the human body by 10 to 1. However, most of these bacteria colonize the human body without positive or negative effects and are regarded as commensals. Staphylococcus aureus a Gram positive bacterium is such a commensal bacterium of 25 % to 30 % of the world population. It is also an opportunistic pathogen and is able to cause infections in the lung, skin and heart and to induce sepsis. Its pathogenicity is mainly facilitated by the secretion of a broad spectrum of virulence factors which interact with the host. Some are distracting the immune system, others are targeting the host cell membrane or degrade macromolecular structures of the host in order to provide nutrients. Furthermore S. aureus is able to invade the host cell and to survive and replicate in the host cell cytosol or other compartments. The Gram negative proteobacterium Burkholderia pseudomallei is an environmental bacterium but still has the ability to enter the human body via body orifices or skin wounds. In a very efficient way it penetrates the host cell, replicates intracellular and the uses host structures to spread from cell to cell thereby causing the disease melioidosis often with fatal outcomes. Since the natural habitats of B. pseudomallei are wet soils, the change to the environment in the human body is drastic and requires a high degree of flexibility of the bacterium. Environmental stress conditions such as temperature, pH, nutrient limitation or presence of antibiotics induce a switch of colony morphology which is a special characteristic of this bacterium. Since it is assumed, that changes in colony morphology are connected to adaptive processes to the environmental changes, these morphology switches might also be important during infection. The host organism and the host cell on the other side try to kill and remove the bacterial threat by activating the immune system and cellular defence mechanisms. This includes generation of reactive oxygen and nitrogen species, production of antimicrobial peptides and cellular processes such as phagocytosis, autophagy, apoptosis and activation of the immune response. The actions and reactions on both, the pathogen side and the host side, are summarized as host-pathogen interactions. In the field of functional genomics, methods were developed to understand various levels of host-pathogen interactions. The holistic analysis of the mRNA (the transcriptome) or translated proteins (the proteome) were already very useful tools to describe important cellular processes on the host and the pathogen site. The level of metabolites with regard to host-pathogen interactions however, has been neglected so far. In this dissertation the metabolic composition in the intracellular and extracellular space of the host and the pathogen was analyzed. For this matter biochemical analytical tools were used such as 1H-nuclear magnetic resonance spectroscopy and chromatographic methods (GC and HPLC) coupled to mass spectrometry. The combination of these methods allows a broad coverage of physicochemical diverse metabolites. In accordance to the above mentioned biological levels like mRNA and proteins, the sum of all metabolites is referred as the metabolome. Consequently to transcriptomics and proteomics the analysis of the metabolome is referred as metabolomics. To gain insights into the infection relevant metabolome of the host-pathogen relationship between S. aureus and human lung cells several approaches were developed. First the distribution of the recently identified bacillithiol in different S. aureus strains was investigated with regard to its role during the infection. For that matter a HPLC-methodology was used with fluorescence based detection of labelled low molecular weight thiols (article I: Distribution and infection-related functions of bacillithiol in Staphylococcus aureus). After that the next aim was to reveal the effect of S. aureus on the host cell metabolism. To reduce the complexity of effects on the host cells an artificial model was chosen in a first approach. The lung cells were treated with the staphylococcal virulence factor alpha-hemolysin, a pore forming toxin and a holistic metabolomics approach was performed (article II: Staphylococcus aureus Alpha-Toxin Mediates General and Cell Type-Specific Changes in Metabolite Concentrations of Immortalized Human Airway Epithelial Cells). Using this approach, a protocol for cell culture metabolomics was established and first changes in the host cell metabolome that could be caused by S. aureus were described. However, this only describes specific changes caused by one single virulence factor and does not necessarily describes the reality during a S. aureus infection. Therefore in a next approach, an infection model using a human lung epithelial cell line and the S. aureus strain USA300 was established and used for metabolome analysis. Furthermore a combination of inhibitor treatment and metabolic labelling was used to clarify the metabolic activity in the host cell after exposure to S. aureus (article III: Metabolic features of a human airway epithelial cell line infected with Staphylococcus aureus revealed by a metabolomics approach). Finally this thesis deals with the host-pathogen interaction of B. pseudomallei and its host with a focus on the role of the switch in colony morphology in basic metabolism. Various morphotypes of two strains were generated by nutrient limitation and their uptake of nutrients was monitored. Furthermore the morphotypes were used in in vitro and in vivo infections and subsequently isolated out of the cell line and mice respectively. After isolation, the colony morphology was determined and again the nutrient uptake profile was monitored (article IV: Burkholderia pseudomallei morphotypes show a synchronized metabolic pattern after acute infection). The information provided by this thesis adds a new complexity to the knowledge about the host-pathogen interactions of S. aureus and B. pseudomallei and their hosts. It furthermore lays the groundwork for future studies, which will deal with these and other bacterial host-pathogen interactions in order to understand the interdependencies of infection and metabolism.
Aiming at the goal of individualized medicine, this dissertation develops a generic methodology to individualize risk factors and phenotypes via metabolomic data from the urine. As metabolomic data can be seen as a holistic representation of the metabolism of an organism at certain time point, metabolomic data contain not only information about current life-style factors like diet and smoking but also about latent genetic traits. Utilizing this integrative attribute, the dissertation delivers a metric for biological age (the metabolic age score) which was shown to be informative beyond chronological age in three independent samples. It was associated with a broad range of age-related comorbidities in two large population-based cohorts, predicted independently of classical risk factors mortality and, moreover, it predicted weight loss subsequently to bariatric surgery in a small sample of heavily obese individuals.
Subsequently to this work, the dissertation built a definitional framework justifying the procedure underlying the metabolic age score, delivering a general framework for the construction of individualized phenotypes and thereby an operationalization of individualization in statistical terms. Conceptualizing individualization of the process of differentiation of individuals showing the same phenotype despite different underlying biological traits, it was shown formally that the prediction error of a statistical model approximating a phenotype is always informative about the underlying biology beyond the phenotype if the predictors fulfill certain statistical requirements. Thus, the prediction error facilitates the meaningful differentiation of individuals showing the same phenotype. The definitional framework presented here is not restricted to any kind of data and is therefore applicable to a broad range of medical research questions.
However, when utilizing metabolomic data, technical factors, data-preprocessing, pre-analytic features introduce unwanted variance into the statistical modeling. Thus, it is unclear whether predictive models like the metabolic age score are stable enough for clinical application. The third part of this doctoral thesis provided two statistical criteria to decide which normalization method to remove the dilution variance from urinary metabolome data performs best in terms of erroneous variance introduced by the different methods, aiding the minimization of biological irrelevant variance in metabolomic analyses.
In conclusion, this doctoral thesis developed a general, applicable, definitional framework for the construction of individualized phenotypes and demonstrated the value of the methodology for clinical phenotypes on metabolomic data, improving on the way the statistical treatment of urinary data regarding the dilution correction.
The discovery of antibiotics around one century ago was a milestone for medicine. However, despite the warning of Alexander Fleming in 1945, antibiotics were used poorly, resulting in many antibiotic-resistant pathogens. Patients infected with resistant pathogens need to get treated with additional antibiotics or, as a last resort, trust completely on their immune system. This causes 700,000 deaths per year. Most clinically used antibiotics have been derived from soil microorganisms, while other niches stayed unexplored. Exploring new niches inhabiting antibiotic-producing microorganisms may result in novel antibiotics. Furthermore, expanding the search from frequently investigated soluble metabolites to volatiles may open up numerous compounds as potential future antibiotics. This thesis is about the search for antimicrobial volatiles produced (among others) by microorganisms from social spider ecosystems, a niche that was little explored until now.
Volatiles are characterized by their high vapor pressure at ambient temperatures, allowing them to distribute fast in both the gas and water phase. They can spread quickly even in complex ecosystems using the air and potentially fulfill functions like communication and antimicrobial defense. Especially, volatiles with antimicrobial activities caught the attention of many scientists because of their potential role in pathogen defense, as we have reviewed (Article I). Volatiles are usually produced in the primary metabolism and belong to diverse chemical classes, like hydrocarbons, aromates, alcohols, aldehydes, acids, esters, amides, and thiols. Their antimicrobial spectrum ranges from antifungal, to antibacterial, anti-oomycete, and even broad-spectrum activity. Volatiles are ubiquitously produced. Especially Bacillus and Streptomyces species are often reported to produce antimicrobial volatiles. Knowledge about antimicrobial volatiles – for example, details about their modes of action – is lacking yet, but these compounds may help to overcome the antimicrobial resistance crisis in the future. Volatiles could be used in medicine and agriculture, either alone or in combination with traditional antibiotics, opening new strategies against antimicrobial resistance.
A promising source of (volatile) antimicrobials is the ecosystem of social arthropods. Due to their lifestyle in dense colonies, they likely spread pathogens between individuals, making antimicrobial defense crucial. Since the presence of antimicrobial volatiles was reported in social insect ecosystems, we investigated the unexplored volatilome of the Namibian social spider Stegodyphus dumicola (Articles II and III). In the first study, we analyzed the in situ volatilomes of the spiders’ nest, web, and bodies using GC/Q-TOF and revealed that more than 40 % of the tentatively identified volatiles were already known for their antimicrobial activities (Article II). We proved the antimicrobial activity of five pure compounds found in the samples, among others against the suggested spider pathogen Bacillus thuringiensis. These results indicate the potential role of antimicrobial volatiles for pathogen defense and could ultimately help explain the spiders’ ecological success.
Volatiles from the spider volatilome can originate from various sources, including microorganisms, surrounding plants, the spiders themselves, the spiders’ prey, so we analyzed the volatilomes of microbial nest members in a second study. The microbial nest members we selected for this were the bacteria Massilia sp. IC2-278, Massilia sp. IC2-477, Sphingomonas sp. IC-11, and Streptomyces sp. IC-207, and the fungus Aureobasidium sp. CE_32 (Article III). Several volatilomes showed antibacterial and/or antifungal activities against two suggested spider pathogens. The subsequent volatilome analyses using GC/Q-TOF revealed the presence of many volatiles that have already been described as antimicrobials. Five pure volatiles were tested against two suggested spider pathogens, revealing all volatiles as antibacterial, antifungal, or both. These results support the potential role of antimicrobial volatiles in social spider pathogen defense and indicate microbial nest members as the origin of (novel) antimicrobial volatiles.
Together, the articles that constitute this thesis highlight the antimicrobial power of volatiles (Article I), indicates the volatilome of the ecosystem of S. dumicola as a potential pathogen defense (Article II), and finally reveal the spider nest microbiome as a source for antimicrobial volatiles (Article III). This knowledge not only adds to the understanding of social spider ecosystems (and likely other social arthropod ecosystems) but also has the potential to open a novel source for antimicrobial compounds that may help to counter the antimicrobial resistance crisis.