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1.
FIG. 5.

FIG. 5. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

Time-dependent changes in numerically important SOB cell numbers detected by FISH analysis with SOB species- or genus-specific probes (Table ). Error bars represent the standard errors of duplicate measurements.

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.
2.
FIG. 1.

FIG. 1. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

Concrete coupons exposed to the sewer atmosphere [H2S(g), ca. 30 ppm] for 42 days (A), 102 days (B), and 1 year (C and D), showing the progression of concrete corrosion.

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.
3.
FIG. 3.

FIG. 3. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

(A) Time-dependent changes of total DAPI-stained (DAPI) cell numbers and EUB338-mixed probe-hybridized (EUB) cell counts on the concrete surface and (B) the relative abundance of EUB338-mixed probe-hybridized cells in relation to total DAPI-stained cells. Error bars represent the standard errors of duplicate measurements.

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.
4.
FIG. 2.

FIG. 2. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

Time-dependent changes in surface pH and weight loss of the concrete coupons exposed to the sewer atmosphere (A) and SO42− and S0 concentrations on the surface of concrete coupons placed in the sewer system (B). In panel A, the line graph refers to pH measurements and the bar graph to weight loss measurements. Error bars represent the standard errors of duplicate measurements.

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.
5.
FIG. 4.

FIG. 4. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

Phylogenetic tree showing the distributions of the OTUs related to sulfur-oxidizing bacteria, which were obtained from 42-day-old (uncorroded, NC), 102-day-old (slightly corroded, SC), and 1-year-old (heavily corroded, HC) samples. The tree was generated by using approximately 1,400 bp of the 16S rRNA genes and the neighbor-joining method. The scale bar represents 2% sequence divergence. The values at the nodes are bootstrap values (500 resampling analysis). The Aquifex pyrophilus sequence served as the outgroup for rooting the tree. The numbers in parentheses indicate the frequencies of appearance of identical clones in the clones analyzed.

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.
6.
FIG. 6.

FIG. 6. From: Succession of Sulfur-Oxidizing Bacteria in the Microbial Community on Corroding Concrete in Sewer Systems .

(A) Vertical distribution of DAPI-stained total cells, Thio820 probe-hybridized Acidithiobacillus cells, ACD840 probe-hybridized Acidiphilium cells, and LF655 probe-hybridized Leptospirillum cells in the heavily corroded gypsum layer after a 1-year exposure to the sewer atmosphere. (B) Concentration profiles of O2 and pH in the top 2,000 μm of the heavily corroded gypsum layer that was exposed to the H2S atmosphere for 1 year. Stable total H2S concentration profiles could not be determined in this study. The surface of corroded concrete is at a depth of 0 μm. Error bars represent the standard errors of duplicate measurements (A) and of triplicate measurements (B).

Satoshi Okabe, et al. Appl Environ Microbiol. 2007 Feb;73(3):971-980.

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