Following the terrestrial tracks of Caulobacter - redefining the ecology of a reputed aquatic oligotroph.
Roland C WilhelmPublished in: The ISME journal (2018)
For the past 60 years Caulobacter spp. have been commonly attributed an aquatic and oligotrophic lifestyle yet are not uncommon in nutrient-rich or soil environments. This study evaluates the environmental and ecological associations of Caulobacter to reconcile past evidence, largely limited to culturing and microscopy, with currently available metagenomic and genomic data. The distribution of Caulobacter species and their characteristic adhesion-conferring genes, holdfast (hfaAB), were determined using collections of 10,641 16S rRNA gene libraries (196 studies) and 2625 shotgun metagenomes (190 studies) from a range of terrestrial and aquatic environments. Evidence for ecotypic variation was tested in 26 genomes sourced from soil, rhizosphere, plant, groundwater, and water. Caulobacter were, on average, fourfold more relatively abundant in soil than in aquatic environments, and abundant in decomposing wood, compost, and particulate matter (in air and water). Caulobacter holdfast genes were 35-fold more abundant in soils than aquatic environments. Ecotypic differences between soil and aquatic Caulobacter were evident in the environmental associations of several species and differences in genome size and content among isolates. However, most abundant species were common to both environments, suggesting populations exist in a continuum that was evident in the re-analysis of studies on the temporal dynamics of, and sources of bacterioplankton to, lakes and rivers. This study provides a new perspective on the ecological profile of Caulobacter, demonstrating that members of this genus are predominantly soil-borne, possess an overlooked role in plant matter decomposition and a dependency on water-mediated dispersal.
Keyphrases
- risk assessment
- human health
- particulate matter
- plant growth
- genome wide
- heavy metals
- air pollution
- drinking water
- climate change
- genome wide identification
- cardiovascular disease
- weight loss
- machine learning
- microbial community
- high throughput
- high resolution
- dna methylation
- single molecule
- optical coherence tomography
- health risk
- staphylococcus aureus
- gene expression
- electronic health record
- big data
- wastewater treatment
- organic matter
- water quality
- life cycle