Long-distance spore dispersal in wood-inhabiting Basidiomycetes

Eight species of wood-inhabiting basidiomycetes (Laurilia sulcata, Peniophora aurantiaca, Resinicium bicolor, Scytinostroma galactinum, Terana caerulea, Trichaptum abietinum, T. biforme and T. fuscoviolaceum) were used in a spore-trapping test to evaluate their individual ability for long-distance spore dispersal. Petri dishes with single spore mycelia were used as baits. In the experiment, carried out at the Botanical Institute in Göteborg, spores from the air were regularly captured. Surprisingly, spores were captured from species whose nearest known natural occurrence was located quite far from Göteborg. The closest population of Peniophora aurantiaca is about 1000 km south of Göteborg. The results from this experiment support the hypothesis that fungal spores are widely and efficiently dispersed. Such a broad and extensive dispersal ability is of vital importance, especially for wood-inhabiting species which are highly dependent on a substrate which is onlv temporarily available.

Transfer of Cesium from the Xylem to the Phloem in the Stem of Wheat

Steam-girdling experiments with detached wheat shoots showed that cesium was eliminated from the xylem sap and loaded into the phloem during acropetal transport. This transfer is important for the accumulation of cesium (especially also of the radiopollutants 134Cs and 137Cs) in maturing wheat grains.

Systematic interpretation of molecular beacon polymerase chain reaction for identifying rpoB mutations in Mycobacterium tuberculosis isolates with mixed resistant and susceptible bacteria

Detection of multidrug-resistant tuberculosis (MDR-TB), a frequent cause of treatment failure, takes 2 or more weeks to identify by culture. RIF-resistance is a hallmark of MDR-TB, and detection of mutations in the rpoB gene of Mycobacterium tuberculosis using molecular beacon probes with real-time quantitative polymerase chain reaction (qPCR) is a novel approach that takes ≤2 days. However, qPCR identification of resistant isolates, particularly for isolates with mixed RIF-susceptible and RIF-resistant bacteria, is reader dependent and limits its clinical use. The aim of this study was to develop an objective, reader-independent method to define rpoB mutants using beacon qPCR. This would facilitate the transition from a research protocol to the clinical setting, where high-throughput methods with objective interpretation are required. For this, DNAs from 107 M. tuberculosis clinical isolates with known susceptibility to RIF by culture-based methods were obtained from 2 regions where isolates have not previously been subjected to evaluation using molecular beacon qPCR: the Texas–Mexico border and Colombia. Using coded DNA specimens, mutations within an 81-bp hot spot region of rpoB were established by qPCR with 5 beacons spanning this region. Visual and mathematical approaches were used to establish whether the qPCR cycle threshold of the experimental isolate was significantly higher (mutant) compared to a reference wild-type isolate. Visual classification of the beacon qPCR required reader training for strains with a mixture of RIF-susceptible and RIF-resistant bacteria. Only then had the visual interpretation by an experienced reader had 100% sensitivity and 94.6% specificity versus RIF-resistance by culture phenotype and 98.1% sensitivity and 100% specificity versus mutations based on DNA sequence. The mathematical approach was 98% sensitive and 94.5% specific versus culture and 96.2% sensitive and 100% specific versus DNA sequence. Our findings indicate the mathematical approach has advantages over the visual reading, in that it uses a Microsoft Excel template to eliminate reader bias or inexperience, and allows objective interpretation from high-throughput analyses even in the presence of a mixture of RIF-resistant and RIF-susceptible isolates without the need for reader training.^

RESPONSES OF INDICATOR AND PATHOGENIC BACTERIA TO THE PRESENCE OF CARBARYL IN WATER

Biodegradability is a desirable, if not a necessary characteristic of pesticides. Carbaryl, as Sevin, is one of the more widely used insecticides for the control of agricultural pests and has been reported to be readily degraded by microorganisms. Because of its broad application, the concentration of Sevin in surface waters has been reported to reach nearly four parts per million (PPM) in surface waters, where it has been reported to affect the growth and metabolic rates of aquatic bacterial populations. Following these reports, it is of public health importance to determine the effects of this insecticide on the growth and metabolic rates of bacteria used to indicate water pollution, and on pathogenic organisms which are found in polluted water.^ This study was conducted to determine the effect of carbaryl on the growth and metabolic rates of indicator and pathogenic organisms. Escherichia coli and Streptococcus faecalis were used as indicators, while Staphylococcus aureus and Salmonella typhimurium were the pathogens studied. Pure and mixed cultures of these organisms were exposed to two concentrations of carbaryl (Sevin).^ The study demonstrated that the fecal pollution indicator organisms, E. coli and S. faecalis respond differently to the presence of small concentrations of carbaryl in water as do the two pathogens tested, (S. typhimurium and S. aureus). The growth of all test organisms as measured by spread plate counts, was reduced by the presence of either one mg/l or five mg/l carbaryl within a period of eight days. Survival of the organisms in the presence of five mg/l carbaryl varied dependent upon whether the organism was in pure or mixed culture. In the presence of five mg/l carbaryl, both pure and mixed culture of E. coli showed longer survival. S. faecalis survived for more than eight days in pure culture, neither S. typhimurium nor S. aureus survived for eight days in pure culture.^ The metabolic rate of S. faecalis and S. aureus was reduced by both five mg/l and one mg/l Sevin concentrations, contrary to E. coli and S. typhimurium which had reduced metabolic rate with the introduction of five mg/l Sevin but showed an increase in the metabolic rate with one mg/l Sevin. There was no difference between the test and control when mixed populations were exposed to five mg/l Sevin and the metabolic rate tested. A mixture of E. coli and S. typhimurium populations showed a respiration increase over the control when exposed to one mg/l Sevin concentration. If similar effects occur in polluted surface waters, misleading results from bacteriological water quality testing may occur. ^

TRANSMISSION DYNAMICS OF ENTERIC BACTERIA IN DAY-CARE CENTERS, HOUSTON, TEXAS

An investigation was undertaken to evaluate the role of fomites in the transmission of diarrhea in day-care centers (DCC) and to elucidate the paths by which enteric organisms spread within this setting.^ During a nine-month period (December 1980-August 1981) extensive culturing of inanimate objects, as well as children and staff was done routinely each month and again repeated during diarrhea outbreaks. Air was sampled from the classrooms and toilets using a Single-Stage Sieve Sampler (Ross Industries, Midland, VA.). Stool samples were collected from both ill and well children and staff in the affected rooms only during outbreaks. Environmental samples were processed for Shigella, salmonella and fecal coliforms while stools were screened for miscellaneous enteropathogens.^ A total of 11 outbreaks occurred in the 5 DCC during the study period. Enteric pathogens were recovered in 7 (64%) of the outbreaks. Multiple pathogens were identified in 3 outbreaks. The most frequently identified pathogen in stools was Giardia lamblia which was recovered in 5 (45%) of the outbreaks. Ten of the 11 (91%) outbreaks occurred in children less than 12 months of age.^ Environmental microbiology studies together with epidemiologic information revealed that enteric organisms were transmitted from person-to-person. On routine sampling, fecal coliforms were most frequently isolated from tap handles and diaper change areas. Contamination with fetal coliforms was wide-spread during diarrhea outbreaks. Fecal coliforms were recovered with significantly greater frequency from hands, toys and other classroom objects during outbreaks than during non-outbreak period. Salmonella typhimurium was recovered from a table top during an outbreak of Salmonellosis. There was no association between the level of enteric microbial contamination in the toilet areas and the occurrence of outbreaks. No evidence was found to indicate that enteric organisms were spread by the airborne route via aerosols.^ Toys, other classroom objects and contaminated hands probably play a major role in the transmission of enteropathogens during day-care center outbreaks. The presence of many enteric agents in the environment undoubtedly explains the polymicrobial etiology of the day-care center associated diarrhea outbreaks. ^

Systems Biology Approaches to Probe Gene Regulation in Bacteria

Mechanisms that allow pathogens to colonize the host are not the product of isolated genes, but instead emerge from the concerted operation of regulatory networks. Therefore, identifying components and the systemic behavior of networks is necessary to a better understanding of gene regulation and pathogenesis. To this end, I have developed systems biology approaches to study transcriptional and post-transcriptional gene regulation in bacteria, with an emphasis in the human pathogen Mycobacterium tuberculosis (Mtb). First, I developed a network response method to identify parts of the Mtb global transcriptional regulatory network utilized by the pathogen to counteract phagosomal stresses and survive within resting macrophages. As a result, the method unveiled transcriptional regulators and associated regulons utilized by Mtb to establish a successful infection of macrophages throughout the first 14 days of infection. Additionally, this network-based analysis identified the production of Fe-S proteins coupled to lipid metabolism through the alkane hydroxylase complex as a possible strategy employed by Mtb to survive in the host. Second, I developed a network inference method to infer the small non-coding RNA (sRNA) regulatory network in Mtb. The method identifies sRNA-mRNA interactions by integrating a priori knowledge of possible binding sites with structure-driven identification of binding sites. The reconstructed network was useful to predict functional roles for the multitude of sRNAs recently discovered in the pathogen, being that several sRNAs were postulated to be involved in virulence-related processes. Finally, I applied a combined experimental and computational approach to study post-transcriptional repression mediated by small non-coding RNAs in bacteria. Specifically, a probabilistic ranking methodology termed rank-conciliation was developed to infer sRNA-mRNA interactions based on multiple types of data. The method was shown to improve target prediction in Escherichia coli, and therefore is useful to prioritize candidate targets for experimental validation.

Isotopic signature of specific biomarkers derived from anaerobic methanotrophic archaea (ANME groups) and sulphate-reducing bacteria (SRB) at different cold seep provinces

Anaerobic methane-oxidizing microbial communities in sediments at cold methane seeps are important factors in controlling methane emission to the ocean and atmosphere. Here, we investigated the distribution and carbon isotopic signature of specific biomarkers derived from anaerobic methanotrophic archaea (ANME groups) and sulphate-reducing bacteria (SRB) responsible for the anaerobic oxidation of methane (AOM) at different cold seep provinces of Hydrate Ridge, Cascadia margin. The special focus was on their relation to in situ cell abundances and methane turnover. In general, maxima in biomarker abundances and minima in carbon isotope signatures correlated with maxima in AOM and sulphate reduction as well as with consortium biomass. We found ANME-2a/DSS aggregates associated with high abundances of sn-2,3-di-O-isoprenoidal glycerol ethers (archaeol, sn-2-hydroxyarchaeol) and specific bacterial fatty acids (C16:1omega5c, cyC17:0omega5,6) as well as with high methane fluxes (Beggiatoa site). The low to medium flux site (Calyptogena field) was dominated by ANME-2c/DSS aggregates and contained less of both compound classes but more of AOM-related glycerol dialkyl glycerol tetraethers (GDGTs). ANME-1 archaea dominated deeper sediment horizons at the Calyptogena field where sn-1,2-di-O-alkyl glycerol ethers (DAGEs), archaeol, methyl-branched fatty acids (ai-C15:0, i-C16:0, ai-C17:0), and diagnostic GDGTs were prevailing. AOM-specific bacterial and archaeal biomarkers in these sediment strata generally revealed very similar d13C-values of around -100 per mill. In ANME-2-dominated sediment sections, archaeal biomarkers were even more 13C-depleted (down to -120 per mill), whereas bacterial biomarkers were found to be likewise 13C-depleted as in ANME-1-dominated sediment layers (d13C: -100 per mill). The zero flux site (Acharax field), containing only a few numbers of ANME-2/DSS aggregates, however, provided no specific biomarker pattern. Deeper sediment sections (below 20 cm sediment depth) from Beggiatoa covered areas which included solid layers of methane gas hydrates contained ANME-2/DSS typical biomarkers showing subsurface peaks combined with negative shifts in carbon isotopic compositions. The maxima were detected just above the hydrate layers, indicating that methane stored in the hydrates may be available for the microbial community. The observed variations in biomarker abundances and 13C-depletions are indicative of multiple environmental and physiological factors selecting for different AOM consortia (ANME-2a/DSS, ANME-2c/DSS, ANME-1) along horizontal and vertical gradients of cold seep settings.