Population level functional diversity in a microbial community revealed by comparative genomic and metagenomic analyses
Devaki Bhaya, Arthur R Grossman, Anne-Soisig Steunou, Natalia Khuri, Frederick M Cohan, Natsuko Hamamura, Melanie C Melendrez, Mary M Bateson, David M Ward and John F Heidelberg
International Society for Microbial Ecology Journal (ISME), 2007
Abstract
In microbial mat communities of Yellowstone hot springs, ribosomal RNA (rRNA) sequence diversity
patterns indicate the presence of closely related bacterial populations along environmental
gradients of temperature and light. To identify the functional bases for adaptation, we sequenced
the genomes of two cyanobacterial (Synechococcus OS-A and OS-B') isolates representing
ecologically distinct populations that dominate at different temperatures and are major primary
producers in the mat. There was a marked lack of conserved large-scale gene order between the two
Synechococcus genomes, indicative of extensive genomic rearrangements. Comparative genomic
analyses showed that the isolates shared a large fraction of their gene content at high identity, yet,
differences in phosphate and nitrogen utilization pathways indicated that they have adapted
differentially to nutrient fluxes, possibly by the acquisition of genes by lateral gene transfer or their
loss in certain populations. Comparisons of the Synechococcus genomes to metagenomic
sequences derived from mats where these Synechococcus stains were originally isolated, revealed
new facets of microbial diversity. First, Synechococcus populations at the lower temperature
regions of the mat showed greater sequence diversity than those at high temperatures, consistent
with a greater number of ecologically distinct populations at the lower temperature. Second, we
found evidence of a specialized population that is apparently very closely related to Synechococcus
OS-B', but contains genes that function in the uptake of reduced ferrous iron. In situ expression
studies demonstrated that these genes are differentially expressed over the diel cycle, with highest
expression when the mats are anoxic and iron may be in the reduced state. Genomic information
from these mat-specific isolates and metagenomic information can be coupled to detect naturally
occurring populations that are associated with different functionalities, not always represented by
isolates, but which may nevertheless be important for niche partitioning and the establishment of
microbial community structure.
NOTE: the article text supplied here is for educational purposes only.
*Don't have Adobe Reader?
Get the latest version.
NOTE: Some versions of Adobe Reader have problems with Google Chrome. Either resize the browser to view the paper or enable
the Chrome internal PDF viewer by entering chrome://plugins in your address bar and clicking enable for the Chrome PDF Viewer plugin.