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The success of pregnancy depends on precisely adjusted, local immune mechanisms. In early pregnancy, fetal trophoblast cells implant into the endometrium to build and anchor the placenta. Simultaneously, they mediate fetal tolerance and defense against infections. To cover these versatile requirements, local immune factors must be in balance. A too tolerogenic milieu can lead to an inadequate placentation; while a too inflammatory milieu can cause rejection of the semi-allogenic fetus. Bacterial infections can provoke these inflammatory pregnancy complications as well. Therefore, the pregnant uterus was long thought to be sterile. Descriptions of a placental microbiome opened a scientific discourse, which is unsolved due to contrary studies. The colonization of the non-pregnant endometrium is, however, confirmed. It is supposed to affect both, uterine pathologies and fertility. Precise data are lacking. Aim of this work was to assess if and under which circumstances a bacterial colonization would be tolerable.
One of the described species in placental and endometrial samples is Fusobacterium nucleatum. It is an opportunistic bacterium, which is known from the human oral cavity and associated with the development of colon carcinomas. F. nucleatum supports tumorigenesis by the induction of epithelial proliferation, survival, migration and invasion as well as angiogenesis and tumor tolerance. Since similar processes are required for implantation and placentation, F. nucleatum might support these as well. In this work, the effects of F. nucleatum on leukocyte-trophoblast-interactions, especially of macrophages and innate lymphoid cells type 3 (ILC3), were assessed.
The monocytic cells (THP-1) were differentiated into inflammatory M1 (IFN-γ) or tissue-repairing and tolerogenic M2a (IL-4) and M2c (TGF-β) macrophages. Inactivated F. nucleatum, LPS or E. coli was added. Only small concentrations of inactivated bacteria were used (bacteria:leukocyte ratio of 0.1 or 1), since it was not the aim to analyze infections. Conditioned medium of treated leukocytes was added to trophoblastic cells (HTR-8/SVneo). Migratory, invasive and tube formation behavior of trophoblastic cells was quantified.
Treated M1 macrophages impaired trophoblast function, whereas M2a macrophages induced trophoblast invasion. M2c macrophages supported trophoblast migration and tube formation if treated with the smaller, but not with the higher concentration of F. nucleatum. This treatment induced the accumulation of HIF-1α and the secretion of VEGF-A in M2c macrophages as well. Moreover, the higher concentration of F. nucleatum caused rather inflammatory responses (NF-κB activation and cytokine expression). The activation of the HIF-1α-VEGF-A axis under the influence of TGF-β might serve as a mild immune stimulation by low abundant commensal bacteria supporting placentation.
In contrast to macrophages, the function of ILC3s during pregnancy is still unknown. In general, ILC3s are located in mucosal tissue, such as the gut. They participate in tolerance mechanisms and form the local micromilieu by the secretion of cytokines and the presentation of antigens. In order to characterize local, uterine ILC3s, murine ILC3s were compared to peripheral, splenic ILC3s. Uterine ILC3s were more activated and produced higher levels of IL-17 compared to splenic ILC3s. However, uterine ILC3s barely expressed MHCII on their surface. A reduced antigen presentation potential was confirmed in human ILC3s differentiated from cord blood stem cells by the addition of TGF-β or hCG. The treatment with bacteria increased MHCII expression, but not to the initial level. The higher bacterial concentration induced IL-8 secretion and led to an increased trophoblast invasion. ILC3s were less sensitive to bacterial stimulation than macrophages.
Recent studies on the uterine or placental presence of bacteria during pregnancy are discrepant. The results of this project indicate that bacteria or bacterial residues might serve as a mild stimulus under certain circumstances to support implantation without negative effects. The current discussion must therefore not only be expanded by additional studies, but especially include differentiated local conditions. In this context, the sheer presence of bacteria or bacterial components must not be equated with an infection representing a known hazard.
Methane (CH4) is a potent greenhouse gas with rising atmospheric concentrations.
Microorganisms are essential players in the global methane cycle. In fact, the largest part of methane emissions derives from microbial production by methanogenic Archaea (methanogens). Microorganisms do not only produce methane: methanotrophs can also oxidize the methane produced by methanogens. In addition, soil methanotrophs are the only biological methane sink, oxidizing up to 30-40 Tg of this potent greenhouse gas per year worldwide.
However, intensified management of grasslands and forests may reduce the methane sink capacity of soils.
In general, the interaction of methanogens and methanotrophs determines whether a soil is a source or a sink for methane. It is, therefore, crucial to understand the microbial part of the methane cycle and which factors influence the abundance and activity of methane-cycling microbes. However, capturing the soil microbiome's abundances, activity, and identity is
challenging. There are numerous target molecules and myriad methods, each with certain
limitations. Linking microbial markers to methane fluxes is therefore challenging. This thesis aimed to understand how methane-cycling microbes in the soil are related to soil methane fluxes and how soil characteristics and human activity influence them.
The first publication investigated the biotic and abiotic drivers of the atmospheric methane sink of soils. It assessed the influence of grassland land-use intensity (150 sites) and forest management type (149 sites) on potential atmospheric methane oxidation rates (PMORs) and the abundance and diversity of CH4-oxidizing bacteria (MOB) with qPCR in topsoils of three temperate regions in Germany. PMORs measured in microcosms under defined conditions were approximately twice as high in forest than in grassland soils. High land-use intensity of grasslands negatively affected PMORs (−40%) in almost all regions. Among the different aspects of land-use intensity, fertilization had the most adverse effect reducing PMORs by 20%.
In contrast, forest management did not affect PMORs in forest soils. Upland soil cluster (USC)α was the dominant group of MOBs in the forests. In contrast, USCγ was absent in more than half of the forest soils but present in almost all grassland soils. USCα abundance had a direct positive effect on PMOR in forests, while in grasslands, USCα and USCγ abundance affected PMOR positively with a more pronounced contribution of USCγ than USCα.
In the second publication, we used quantitative metatranscriptomics to link methane-cycling microbiomes to net surface methane fluxes throughout a year in two grassland soils. Methane fluxes were highly dynamic: both soils were net methane sources in autumn and winter and net methane sinks in spring and summer. Correspondingly, methanogen mRNA abundances per
gram soil correlated well with methane fluxes. Methanotroph to methanogen mRNA ratios were higher in spring and summer when the soils acted as net methane sinks. Furthermore, methane uptake was associated with an increased proportion of USCα and γ pmoA and pmoA2 transcripts. High methanotroph to methanogen ratios would indicate methane sink properties.
Our study links the seasonal transcriptional dynamics of methane-cycling soil microbiomes for the first time to gas fluxes in situ. It suggests mRNA transcript abundances as promising indicators of dynamic ecosystem-level processes.
We conclude that reduction in grassland land-use intensity and afforestation can potentially increase the methane sink function of soils and that different parameters determine the microbial methane sink in forest and grassland soils. Furthermore, this thesis suggests mRNA transcript abundances as promising indicators of dynamic ecosystem-level processes. Methanogen transcript abundance may be used as a proxy for changes in net surface methane emissions from grassland soils.