Differentially abundant bacteria drive the N2-fixation of a widespread moss in the forest-tundra transition zone
Escolastico-Ortiz, D. A.; Blasi, C.; Bellenger, J.-P.; Derome, N.; Villarreal-A, J. C.
Show abstract
Bryophytes maintain symbiosis with epiphytic bacteria influencing the local nutrient budget. Moss bacterial communities are composed of a core microbiome and bacteria recruited from environmental sources. Notably, symbiotic N2-fixing bacteria contribute to the N budget in northern ecosystems through biological nitrogen fixation. This process may be affected by the abundance of diazotrophs and moss nutrient content. We used the abundant moss Racomitrium lanuginosum in a forest tundra and shrub tundra in Northern Quebec, Canada, to investigate the bacterial and diazotrophic communities associated with habitat type using amplicon sequencing of the bacterial 16S rRNA and nifH genes and test whether the moss core microbiome has recruitment from the soil bacteria community. The nifH amplicons and element analysis were used to test the effect of diazotrophic abundance and moss nutrient content on N2-fixation activity estimated by acetylene reduction assays. Moss microbial communities between tundra types hosted similar bacterial diversity but differentially abundant groups. The core microbiome of R. lanuginosum is composed of bacteria strongly associated with northern mosses with no significant recruitment from the soil. The relative abundances of dominant diazotrophs are significantly correlated with acetylene reduction rates. In contrast, the moss nutrient content did not significantly drive N2-fixation. The proteobacterial genera Azorhizobium and Rhodomicrobium represent newly reported bacteria associated with N2-fixation rates in the tundra. We identified critical bacterial groups related to moss-bacterial symbiosis and N2-fixation in the forest-tundra transition zone, a changing environment susceptible to climate warming.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The snowmelt niche differentiates three microbial life strategies that influence soil nitrogen availability during and after winter 96%
- The total and active bacterial community of the chlorolichen Cetraria islandica and its response to long-term warming in sub-Arctic tundra 96%
- Contrasting responses of protistan plant parasites and phagotrophs to ecosystems, land management and soil properties 96%
Similar papers in this journal
- Dominance of coniferous and broadleaved trees drives bacterial associations with boreal feather mosses 97%
- Seasonal cycles in a seaweed holobiont: A multiyear time series reveals repetitive microbial shifts and core taxa 96%
- Microbial phylogenetic relatedness links to distinct successional patterns of bacterial and fungal communities 95%
Similar papers in this journal
- Aspen-associated soil microbiomes reveal different strategies for nitrogen acquisition across ecosystems in Mexico and Canada 97%
- Biogeographical patterns in soil bacterial communities across the Arctic region 96%
- Divergent assembly trajectories: a comparison of the plant and soil microbiome with plant communities in a glacier forefield 96%
Similar papers in this journal
- Abiotic treatment to common bean plants results in an altered seed microbiome. 96%
- Rhizospheric bacteria from the Atacama Desert hyper-arid core: cultured community dynamics and plant growth promotion 94%
- Whats under the Christmas tree? Soil acidification alters fir tree rhizosphere bacterial and eukaryotic communities, their interactions, and functional traits 93%
Similar papers in this journal
- Surveying the sweetpotato rhizosphere, endophyte, and surrounding soil microbiomes at two North Carolina farms reveals underpinnings of sweetpotato microbiome community assembly 96%
- Deep-rooted plant species recruit distinct bacterial communities in 3 m deep subsoil 96%
- Coupled phylogenetic and functional enrichment in the tomato rhizosphere microbiome 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.