Vincent EJ Jassey’s scientific contributions

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Figure 2. CFMs abundance, richness and their response to environmental variables. (a) 939 Contribution of the different CFMs to total bacterial abundance 916S rRNA gene). (b) Absolute 940 quantification using ddPCR and (b) Richness (Chao1 index) of total CFMs (sum of 23S rRNA, 941 cbbL and pufM/bchYgenes), oxygenic phototrophs (23S rRNA gene), chemoautotrophs (cbbL) 942 and AAnPBs (pufM/bchY) for each site. Violin plots are showing the data distribution shape while 943 boxplots are representing the logarithm of the total gene copies.g -1 DW. D1 = 0-5 cm; D2 = 5-10 944 cm and D3 = 10-15 cm. (c) Correlation plot (Pearson correlation) of CFMs community abundance 945 (ddPCR results), richness (Chao1), alpha-diversity (Shannon) and beta-diversity (NMDS1 and 946 NMDS2) with nutrients (PO4 2-, K, Br -, DOC, TN), climate (pH, SST, wat cont), phenols and RFE. 947 DOC = dissolved organic carbon; TN = total nitrogen; SST = spring soil temperature and wat cont 948 = water content. ns = not significant; * = 0.05 P < 0.01; ** = 0.01 < P < 0.001 and *** = P < 0.001. 949
Figure 4. Impact of location and depth on relative abundance of ASVs aggregated by class. 987 (a) Heatmaps showing the relative abundance of ASVs aggregated by class according to location 988 and depth. Only classes with abundance higher than 5% were kept. Light red represents low 989 abundances while dark red represents higher abundances. (b) P-values of the explanatory power 990 of location, depth and location with depth. Loc = location; ns = not significant (P > 0.05); * = 0.01 991 < P < 0.05; ** = 0.001 < P < 0.01 and *** = P < 0.01; D1 = 0-5 cm; D2 = 5-10 cm and D3 = 10-15 992 cm. 993 994 995 996 997
Figures and tables caption
Diversity, abundance, and biogeography of CO2 fixing microorganisms in peatlands
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February 2025

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Marie Le Geay

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Kyle Mayers

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Vincent EJ Jassey

Microbial communities play a crucial role in the carbon (C) dynamic of peatlands, a major terrestrial C reservoir. While heterotrophic microorganisms attracted much attention over the past decades due to their role in peatland greenhouse gas emissions, CO2-fixing microorganisms (CFMs) remained particularly overlooked. Here, by leveraging metabarcoding and digital droplet PCR (ddPCR), we provide a comprehensive survey of CFM communities, including oxygenic phototrophs, chemoautotrophs and aerobic anoxygenic phototrophic bacteria (AAnPBs), in different peatland types. We demonstrate that CFMs are very abundant and diverse in peatlands, with on average 1021 CFMs contributing up to 40% of the total bacterial abundance. In particular, we show that oxygenic phototrophs (mostly Cyanophyceae and Palmophylloceae) are the most abundant CFMs, closely followed by chemoautotrophs (Proteobacteria) and AAnPBs (Vulcanimicrobiia). Using a joint-species distribution model, we further find that CFMs aggregate into six major clusters with different niche size. These clusters constitute the core and specific CFM microbiome. The core microbiome, which the occurrence is strongly influenced by temperature and nutrients, directly modulate the diversity and abundance of CFMs. Our findings highlight the importance of CFM diversity and abundance in peatlands, further reveal their complex structuration in link with environmental conditions and suggest that changes in environmental conditions could shift CFMs communities. These results are the foundation to better understand the role of CFMs for the peatland C cycle inputs.

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