Page 181 - Microbial methane cycling in a warming world From biosphere to atmosphere Michiel H in t Zandt

the HdrDE database using BLASTP to retrieve HdrDE hits. All target genes were blasted against the NCBI non-redundant protein database using the BLASTP algorithm.
Genome comparisons were performed by using OrthoVenn2 with default settings and the ANI/AAI-Matrix genome-based distance matrix calculator (Rodriguez-R and Konstantinidis 2016; Xu et al. 2019).
Data availability. All sequencing data were submitted to the GenBank databases under BioProject PRJNA436632 (BioSample SAMN14764579-SAMN14764590) .
Results and Discussion
Here we used metagenomics to unravel community- and species-specific responses to the most likely Arctic climate change scenario of a 6°C increase in temperature by 2100. Metagenome- derived 16S rRNA gene reads were analyzed to gain insights into relative abundance shifts in the microbial communities with and without substrate amendment under the two climate scenarios. The observed changes within the methanogenic communities were in line with the previous observations and showed an enrichment of methanogens on both acetate and TMA incubations (Fig. 1, Supplementary Table S1). The strongest enrichment in methanogenic archaea was observed upon TMA amendment.
The pronounced community differences in the substrate-amended incubations were caused by substrate-specific responses of the methanogenic population. Acetoclastic Methanosaetaceae/Methanotrichaceae were mainly enriched on acetate, with a 1.7-fold stronger response at 10°C. On TMA, versatile Methanosarcinaceae showed strongest enrichment of up to 48% of the total prokaryotic community, with a 1.9-fold higher enrichment at 4°C. In contrast, the bacterial community showed less pronounced responses (Fig. 2, Supplementary Table S2).
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