Periodic Reporting for period 1 - DMC-ReaDy (Dormant Microbial Communities Reactivation Dynamics in Lake Sediments)
Reporting period: 2021-04-01 to 2023-03-31
To initiate reactivation of starved microorganisms in a natural setting, deep layers of lake sediment were transplanted to energy-rich surface sediments in diffusion chambers allowing nutrients to enter the chamber while preventing invasion of other microbes. During the six months of experiment no change in cell numbers, size or shape, and gene transcription were detected indicating no return of buried microbes to surface layer activity levels. This result contradicts previous findings from experiments performed in more artificial conditions where the detected reactivation might have stemmed from growth of contaminating surface organisms. It is thus a valuable contribution to the debate about microbial ‘dormancy’ in aquatic sediments and limits and nature of microbial survival in general.
Apart from the new insights into microbial ‘dormancy’ in sediments, the project also generated valuable data on changes of microbial metabolism with the progression of burial: from sediment surface to deeper layers and knowledge on metabolic capabilities of many abundant yet uncultured groups of sediment bacteria. This new knowledge further helped to understand how lake trophic status shapes the composition of microbial communities in the deposited sediments.
During the project the RNA extraction protocol was optimized and the yields of RNA increased significantly, which allowed for a successful analysis of genes transcribed by the sediment-inhabiting microorganisms. Based on the obtained information, active microorganisms and metabolic pathways they use to generate energy and obtain carbon could be identified for the upper sediment layers. In the deeper sediment layers, the DNA of near-surface microorganisms was still present but only very few of them were active. The transplantation of sediment to the upper layers described above did not induce any change in activity of microorganisms buried deep in the sediment. This means that the possibility of reactivation of long-buried starved sediment microorganisms remains unconfirmed and the cells might be in an irreversible inactive state, slowly approaching cell death. With different types of inactive cellular states being wide-spread in the microbial world, the results are also relevant for other areas of microbiology and environmental sciences. Comparing different types of reversible and irreversible inactive states will help to better define the rather broad term of ‘microbial dormancy’.
Large body of work during the project was dedicated to the preparation for the transcriptome analysis. In order to attribute gene transcripts to specific microorganisms, genomes of these microorganisms had to be reconstructed from bulk DNA data. The reconstruction of these genomes enabled further analyses of the microbial community. For example, assessing what metabolic pathways of methane production are the most wide-spread ones in lake sediments. As DNA data was stemming from multiple Swiss lakes, the reconstructed genomes together with previously acquired geochemical data allowed for analysis of lake trophic status effects on the composition and metabolic capabilities of the sediment microbial communities. This coupling between the trophic status of a lake and microbial metabolic capacity has implications for the carbon cycling in lake sediments, an essential part of the global cycle of carbon sequestration and remineralization.
The results of the research have been presented at the “4th International Workshop on microbial life under extreme energy limitation” and at the D-A-CH Geobiology symposium 2022. A manuscript on methane cycling in lake sediments based on generated data is currently being prepared for submission. Two further manuscripts are being written: 1) On impact of lake trophic status on metabolic capabilities of microorganisms and 2) the lack of reactivation of deeply buried microorganisms upon sediment transplantation. Further collaborative studies using the generated data are ongoing and will likely lead to further publications.
 
           
        