Identity
Rhodanobacter is the canonical genus name used in the SSO subsurface community-ecology report. 1
No aliases or stable external identifier for Rhodanobacter were provided in the report. 1
Evidence from SSO subsurface communities
Rhodanobacter was identified as the key genus associated with inferred denitrification, which ranged from 1.9–7.7% across the SSO well grid and peaked at M5 at 7.7%. 1
In the groundwater–sediment comparison, Rhodanobacter represented 1.23% of sediment reads and 3.62% of groundwater reads, corresponding to 2.9× enrichment in groundwater. 1
The report interprets groundwater enrichment in Rhodanobacter and other denitrifiers as consistent with a plume-associated planktonic assemblage, but this interpretation remains a hypothesis because direct SSO geochemistry was unavailable. 1
The report predicts that Rhodanobacter will be highest at M5 and lower at L8 and U2 when additional pump-test ASV data are extracted, making this a testable prediction rather than an observed result. 1
Genus-level functional inference covered 65 annotated genera and 21% of total reads, so Rhodanobacter-based process assignments should be treated as lower-coverage inferences rather than direct measurements of denitrification. 1
Environmental partitioning and data integration
The ENIGMA genotype-to-phenotype analysis supports environmental partitioning of Rhodanobacter: in global 16S profiles, it was 55% aquatic, 10% contaminated, and 0% clinical, and occurred in 228K of 464,000 samples. 2
Rhodanobacter belonged to an anti-correlated Cluster B with Ralstonia, Dyella, Serratia, and Comamonas; Cluster B averaged pH 5.43 and 22.6°C, compared with pH 6.78 and 15.7°C for Cluster A. This refines the SSO plume-associated interpretation by linking the taxon’s broader distribution to a pH- and temperature-partitioned ecological pattern, while not establishing causation. 2
The cross-dataset analysis also found that a short-identifier match assigned Rhodanobacter glycinis to Streptococcus pneumoniae and introduced 1,751 spurious clinical genomes into environmental profiles; GTDB-Tk assignments and genus-consistency checks eliminated all false matches. This qualifies the global distribution estimates by showing that strain-name collisions can create major taxonomic-profile artifacts. 2
Related pages
The source reports are summarized at SSO Subsurface Community Ecology — Spatial Structure, Functional Gradients, and Hydrogeological Drivers and Genotype × Condition to Phenotype Prediction from ENIGMA Growth Curves. 1 2
The Rhodanobacter observations contribute to ecotype-environment-gene-content, which addresses environment-linked microbial community structure. 1
They also contribute to environmental-resistome, where the report provides a contamination-plume framework involving spatial microbial turnover without direct resistome measurements. 1
sideroxydans is another taxon discussed in the same groundwater–sediment and inferred redox-gradient analysis. 1