Sulfur oxidation and reduction are coupled to nitrogen fixation in the roots of a salt marsh foundation plant species
Rolando, J. L.; Kolton, M.; Song, T.; Liu, Y.; Kostka, J. E.; Pinamang, P.; Conrad, R. E.; Morris, J. T.; Konstantinidis, K. T.
Show abstract
Symbiotic root microbiota are crucial for plant growth as they assist their hosts in nutrient acquisition. In the roots of coastal marine plants, heterotrophic activity in the rhizosphere by sulfate-reducing microorganisms has been linked to nitrogen fixation. In this study, we recovered 239 high-quality metagenome-assembled genomes (MAGs) from a salt marsh dominated by the foundation plant Spartina alterniflora, including diazotrophic sulfate-reducing and sulfur-oxidizing bacteria thriving in the root compartment. Here we show for the first time that highly-abundant sulfur-oxidizing bacteria in the roots of a coastal macrophyte encode and highly express genes for nitrogen fixation (nifHDK). Further, we leveraged a S. alterniflora biomass gradient to gain a mechanistic understanding on how root-microbe interactions respond to abiotic stress from anoxia and elevated sulfide concentration. We observed that the roots of the stressed S. alterniflora phenotype exhibited the highest rates of nitrogen fixation and expression levels of both the oxidative and reductive forms of the dissimilatory sulfite reductase gene (dsrAB). Approximately 25% and 15% of all sulfur-oxidizing dsrA and nitrogen-fixing nifK transcripts, respectively, were associated with novel MAGs of the Candidatus Thiodiazotropha genus in the roots of the stressed S. alterniflora phenotype. We conclude that the rapid cycling of sulfur in the dynamic S. alterniflora root zone is coupled to nitrogen fixation during both reductive and oxidative sulfur reactions, and that the S. alterniflora - Ca. Thiodiazotropha symbiosis is an adaptive response to anoxic and sulfidic sediment conditions, whereby the plants benefit from reduced sulfide toxicity and potential nitrogen acquisition.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Microbial community of recently discovered Auka vent field sheds light on vent biogeography and evolutionary history of thermophily 97%
- Mercury methylation by metabolically versatile and cosmopolitan marine bacteria 96%
- Marine Dadabacteria exhibit genome streamlining and phototrophy-driven niche partitioning 95%
Similar papers in this journal
- Cellular life from the three domains and viruses are transcriptionally active in a hypersaline desert community 97%
- Seasonal cycles in a seaweed holobiont: A multiyear time series reveals repetitive microbial shifts and core taxa 96%
- Environmental predictors of electroactive bacterioplankton in small boreal lakes. 96%
Similar papers in this journal
- An ecological basis for dual genetic code expansion in marine deltaproteobacteria 97%
- Ancestral absence of electron transport chains in Patescibacteria and DPANN 96%
- Organic electron donors and terminal electron acceptors structure anaerobic microbial communities and interactions in a permanently stratified sulfidic lake 96%
Similar papers in this journal
- Helarchaeota and Co-occurring Sulfate-Reducing Bacteria in Subseafloor Sediments from the Costa Rica Margin 97%
- A widely distributed genus of soil Acidobacteria genomically enriched in biosynthetic gene clusters 95%
- Linking prokaryotic genome size variation to metabolic potential and environment 95%
Similar papers in this journal
- The core root microbiome of Spartina alterniflora is predominated by sulfur-oxidizing and sulfate-reducing bacteria in Georgia salt marshes, USA 99%
- Degradation pathways for organic matter of terrestrial origin are widespread and expressed in Arctic Ocean microbiomes 96%
- Global soil metagenomics reveals ubiquitous yet previously-hidden predominance of Deltaproteobacteria in nitrogen-fixing 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.