Microbial communities and fecal indicator bacteria associated with Cladophora mats on beach sites along Lake Michigan shores

A high biomasses of Cladophora, a filamentous green alga, is found mainly during the summer along the shores of Lake Michigan. In this study, the abundance and persistence of the fecal indicator bacterium Escherichia coli and sulfate-reducing bacteria (SRB) on Cladophora mats collected at Lake Michigan beaches were evaluated using both culture-based and molecular analyses. Additionally, 16S rRNA gene cloning and sequencing were used to examine the bacterial community composition. Overall, E. coli was detected in all 63 samples obtained from 11 sites, and the average levels at most beaches ranged from 2,700 CFU/100 g (wet weight) of Cladophora to 7,500 CFU/100 g of Cladophora. However, three beaches were found to have site average E. coli densities of 12,800, 21,130, and 27,950 CFU/100 g of Cladophora. The E. coli levels in the lake water collected at the same time from these three sites were less than the recommended U.S. Environmental Protection Agency limit, 235 CFU/100 ml. E. coli also persisted on Cladophora mats in microcosms at room temperature for more than 7 days, and in some experiments it persisted for as long as 28 days. The SRB densities on Cladophora mats were relatively high, ranging from 4.4x10(6) cells/g (6.64 log CFU/g) to 5.73x10(6) cells/g (6.76 log CFU/g) and accounting for between 20% and 27% of the total bacterial counts. Partial sequences of the 16S rRNA gene clones revealed a phylogenetically diverse community, in which the Cytophaga-Flavobacterium-Bacteroides cluster and the low-G+C-content gram-positive bacteria were the dominant organisms, accounting for 40% and 12.8%, respectively, of the total clone library. These results further reveal the potential public health and ecological significance of Cladophora mats that are commonly found along the shoreline of Lake Michigan, especially with regard to the potential to harbor microorganisms associated with fecal pollution and odor-causing bacteria.     

BOX elements modulate gene expression in Streptococcus pneumoniae: impact on the fine-tuning of competence development

More than 100 BOX elements are randomly distributed in intergenic regions of the pneumococcal genome. Here we demonstrate that these elements can affect expression of neighboring genes and present evidence that they are mobile. Together, our findings show that BOX elements enhance genetic diversity and genomic plasticity in Streptococcus pneumoniae.     

A label-free continuous total-internal-reflection-fluorescence-based immunosensor

In this study, we continuously monitored, second-by-second, concentration changes of two different carbohydrates (maltose and panose) by using monoclonal antibodies in an optical immunosensor based on total internal reflection fluorescence. Earlier studies have demonstrated that these antibodies increase their intrinsic tryptophan fluorescence upon binding of carbohydrate antigens. Using the four immobilized monoclonal antibodies with low affinities (K(d)>10(-6)M), fast kinetics (k(off)>1s(-1)), and high reversibility gave opportunities for developing a continuous immunosensor without any need for regeneration. Since intrinsic fluorescence was used, no extrinsic labeling was necessary. Sensitivity was in the range of 1-5 microM for panose, and 10-15 microM for maltose and the loss of intensity was as low as 3.5% per hour during measurements. Calculations of DeltaH degrees and DeltaS degrees from the temperature dependence of K(d) indicated an enthalpic driven antigen-antibody binding event that is diminished upon antibody immobilization. We feel certain that weakly interacting antibodies can be used in future applications for continuous monitoring where there is a need to achieve instantaneous information on the concentration of an analyte.     

Printed glycan array: antibodies as probed in undiluted serum and effects of dilution

Using printed glycan array (PGA) we compared the results of antibody profiling in undiluted, moderately (1:15) and highly (1:100) diluted human blood serum. Undiluted serum is suitable for studying blood as a tissue in its native state, whereas to study the serum of newborns or small animals one usually has to dilute the starting material in order to have sufficient volume for PGA experimentation. The PGA used in this study allows for the use of whole serum without modifications to the protocol, and the background is surprisingly low. Antibodies profiles observed in undiluted serum versus 1:15 dilution were similar, with only a limited number of new signals identified in the undiluted serum. However, unexpected irregularities were found when IgG and IgM are measured separately, namely, at a 1:15 dilution more intensive IgG signals for many glycans are observed. We believe that in conditions of moderate dilution IgG and IgM antibodies can compete with each other for antigen and as a result, the higher affinity anti-glycan IgGs give rise to more intense signals. Therefore depending on the purpose, different dilutions of serum will be optimal: in competitive 1:15 conditions the observed IgG/IgM ratio corresponds to their titer, whereas at 1:100 dilution the measured ratio corresponds to real molar concentration of IgG and IgM.     

Properties and biological role of streptococcal fratricins

Competence for natural genetic transformation is widespread in the genus Streptococcus. The current view is that all streptococcal species possess this property. In addition to the proteins required for DNA uptake and recombination, competent streptococci secrete muralytic enzymes termed fratricins. Since the synthesis and secretion of these cell wall-degrading enzymes are always coupled to competence development in streptococci, fratricins are believed to carry out an important function associated with natural transformation. This minireview summarizes what is known about the properties of fratricins and discusses their possible biological roles in streptococcal transformation.     

Combining counts and incidence data: an efficient approach for estimating the log-normal species abundance distribution and diversity indices

Obtaining accurate estimates of diversity indices is difficult because the number of species encountered in a sample increases with sampling intensity. We introduce a novel method that requires that the presence of species in a sample to be assessed while the counts of the number of individuals per species are only required for just a small part of the sample. To account for species included as incidence data in the species abundance distribution, we modify the likelihood function of the classical Poisson log-normal distribution. Using simulated community assemblages, we contrast diversity estimates based on a community sample, a subsample randomly extracted from the community sample, and a mixture sample where incidence data are added to a subsample. We show that the mixture sampling approach provides more accurate estimates than the subsample and at little extra cost. Diversity indices estimated from a freshwater zooplankton community sampled using the mixture approach show the same pattern of results as the simulation study. Our method efficiently increases the accuracy of diversity estimates and comprehension of the left tail of the species abundance distribution. We show how to choose the scale of sample size needed for a compromise between information gained, accuracy of the estimates and cost expended when assessing biological diversity. The sample size estimates are obtained from key community characteristics, such as the expected number of species in the community, the expected number of individuals in a sample and the evenness of the community.