Predictive Models for Escherichia coli Concentrations at Inland Lake Beaches and Relationship of Model Variables to Pathogen Detection

Predictive models, based on environmental and water quality variables, have been used to improve the timeliness and accuracy of recreational water quality assessments, but their effectiveness has not been studied in inland waters. Sampling at eight inland recreational lakes in Ohio was done in order to investigate using predictive models for Escherichia coli and to understand the links between E. coli concentrations, predictive variables, and pathogens. Based upon results from 21 beach sites, models were developed for 13 sites, and the most predictive variables were rainfall, wind direction and speed, turbidity, and water temperature. Models were not developed at sites where the E. coli standard was seldom exceeded. Models were validated at nine sites during an independent year. At three sites, the model resulted in increased correct responses, sensitivities, and specificities compared to use of the previous day''s E. coli concentration (the current method). Drought conditions during the validation year precluded being able to adequately assess model performance at most of the other sites. Cryptosporidium, adenovirus, eaeA (E. coli), ipaH (Shigella), and spvC (Salmonella) were found in at least 20% of samples collected for pathogens at five sites. The presence or absence of the three bacterial genes was related to some of the model variables but was not consistently related to E. coli concentrations. Predictive models were not effective at all inland lake sites; however, their use at two lakes with high swimmer densities will provide better estimates of public health risk than current methods and will be a valuable resource for beach managers and the public.     

QTL analysis of the spring wheat “Chapio” identifies stable stripe rust resistance despite inter-continental genotype × environment interactions

Chapio is a spring wheat developed by CIMMYT in Mexico by a breeding program that focused on multigenic resistances to leaf rust and stripe rust. A population consisting of 277 recombinant inbred lines (RILs) was developed by crossing Chapio with Avocet. The RILs were genotyped with DArT markers (137 randomly selected RILs) and bulked segregant analysis conducted to supplement the map with informative SSR markers. The final map consisted of 264 markers. Phenotyping against stripe rust was conducted for three seasons in Toluca, Mexico and at three sites over two seasons (total of four environments) in Sichuan Province, China. Significant loci across the two inter-continental regions included Lr34/Yr18 on 7DS, Sr2/Yr30 on 3BS, and a QTL on 3D. There were significant genotype × environment interactions with resistance gene Yr31 on 2BS being effective in most of the Toluca environments; however, a late incursion of a virulent pathotype in 2009 rendered this gene ineffective. This locus also had no effect in China. Conversely, a 5BL locus was only effective in the Chinese environments. There were also complex additive interactions. In the Mexican environments, Yr31 suppressed the additive effect of Yr30 and the 3D locus, but not of Lr34/Yr18, while in China, the 3D and 5BL loci were generally not additive with each other, but were additive when combined with other loci. These results indicate the importance of maintaining diverse, multi-genic resistances as Chapio had stable inter-continental resistance despite the fact that there were QTLs that were not effective in either one or the other region.     

Combining bulk segregation analysis and microarrays for mapping of the pH trait in melon

The availability of sequence information for many plants has opened the way to advanced genetic analysis in many non-model plants. Nevertheless, exploration of genetic variation on a large scale and its use as a tool for the identification of traits of interest are still rare. In this study, we combined a bulk segregation approach with our own-designed microarrays to map the pH locus that influences fruit pH in melon. Using these technologies, we identified a set of markers that are genetically linked to the pH trait. Further analysis using a set of melon cultivars demonstrated that some of these markers are tightly linked to the pH trait throughout our germplasm collection. These results validate the utility of combining microarray technology with a bulk segregation approach in mapping traits of interest in non-model plants.     

Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low‐gradient stream network

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Aerobic transformation of zinc into metal sulfide by photosynthetic microorganisms

Industrial activity over the last two centuries has increased heavy metal contamination worldwide, leading to greater human exposure. Zinc is particularly common in industrial effluents and although an essential nutrient, it is highly toxic at elevated concentrations. Photoautotrophic microbes hold promise for heavy metal bioremediation applications because of their ease of culture and their ability to produce sulfide through metabolic processes that in turn are known to complex with the metal ion, Hg(II). The green alga Chlamydomonas reinhardtii, the red alga Cyanidioschyzon merolae, and the cyanobacterium Synechococcus leopoliensis were all able to synthesize sulfide and form zinc sulfide when exposed to Zn(II). Supplementation of their respective media with sulfite and cysteine had deleterious effects on growth, although ZnS still formed in Cyanidioschyzon cells to the same extent as in unsupplemented cells. The simultaneous addition of sulfate and Zn(II) had similar effects to that of Zn(II) alone in all three species, whereas supplying sulfate prior to exposure to Zn(II) enhanced metal sulfide production. The coupled activities of serine acetyltransferase and O-acetylserine(thiol)lyase (SAT/OASTL) did not increase significantly in response to conditions in which enhanced ZnS formation occurred; sulfate added prior to and simultaneously with Zn(II). However, even low activity could provide sufficient sulfate assimilation over this relatively long-term study. Because the extractable activity of cysteine desulfhydrase was elevated in cells that produced higher amounts of zinc sulfide, cysteine is the probable source of the sulfide in this aerobic process.     

Characterization of two novel family 12 xyloglucanases from the thermophilic Rhizomucor miehei

Two novel glycoside hydrolase (GH) family 12 xyloglucanase genes (designated RmXEG12A and RmXEG12B) were cloned from the thermophilic fungus Rhizomucor miehei. Both genes contained open reading frames of 729 bp encoding 242 amino acids. Their deduced amino acid sequences shared 68 % identity with each other and less than 60 % with other xyloglucanases. The two genes, without the sequences for the signal peptides, were cloned and successfully expressed in Escherichia coli as active xyloglucanases, designated RmXEG12A and RmXEG12B, with similar molecular masses—25.6 and 25.9 kDa, respectively. RmXEG12A showed optimal activity at pH?6.5 and 65 °C, RmXEG12B at pH?5.0 and 60 °C. Both recombinant xyloglucanases displayed very high specific activities, 6,681.4 and 3,092.2 U?mg^?1, respectively, toward tamarind xyloglucan, but no activity toward carboxymethylcellulose, Avicel, or p-nitrophenyl derivatives. The main products of tamarind xyloglucan hydrolysis by the two xyloglucanases were XXXG, XXLG/XLXG, and XLLG (where G is an unsubstituted β-d-Glc residue, X is a xylosylated β-d-Glc residue, and L is a β-d-Glc residue substituted by xylosyl-galactose).     

Tumor-targeting Salmonella typhimurium, a natural tool for activation of prodrug 6MePdR and their combination therapy in murine melanoma model

The PNP/6-methylpurine 2′-deoxyriboside (6MePdR) system is an efficient gene-directed enzyme prodrug therapy system with significant antitumor activities. In this system, Escherichia coli purine nucleoside phosphorylase (ePNP) activates nontoxic 6MePdR into potent antitumor drug 6-methylpurine (6MeP). The Salmonella typhimurium PNP (sPNP) gene has a 96-% sequence homology in comparison with ePNP and also has the ability to convert 6MePdR to 6MeP. In this study, we used tumor-targeting S. typhimurium VNP20009 expressing endogenous PNP gene constitutively to activate 6MePdR and a combination treatment of bacteria and prodrug in B16F10 melanoma model. The conversion of 6MePdR to 6MeP by S. typhimurium was analyzed by HPLC and the enzyme activity of sPNP was confirmed by in vitro (tetrazolium-based colorimetric assay) MTT cytotoxicity assay. After systemic administration of VNP20009 to mice, the bacteria largely accumulated and specifically delivered endogenous sPNP in the tumor. In comparison with VNP20009 or 6MePdR treatment alone, combined administration of VNP20009 followed by 6MePdR treatment significantly delayed the growth of B16F10 tumor and increased the CD8⁺ T-cell infiltration. In summary, our results demonstrated that the combination therapy of S. typhimurium and prodrug 6MePdR is a promising strategy for cancer therapy.