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1.
FEMS Microbiol Lett ; 308(2): 115-22, 2010 Jul.
Article in English | MEDLINE | ID: mdl-20497225

ABSTRACT

The metal-exporting systems CusCFBA of Escherichia coli and GesABC of Salmonella are resistance-nodulation-division (RND)-type multiprotein systems responsible for detoxification during metal stress. In this study, the substrate range was determined for each metal transport system and possible amino acid residues important in substrate specificity were identified. The Ges system, previously identified as a gold-efflux system, conferred resistance to the greatest number and variety of organic chemicals including chloramphenicol, not recognized previously as a substrate. Phylogenetic analysis showed that GesB is most closely related to a class of RND transporters including MexF that have been shown to be responsible for exporting fluoroquinolones, chloramphenicol, and biocides. However, many of the closest homologs of GesABC appear to play a role in metal resistance judging from the genetic context. In contrast, CusCFBA belongs to a distinct family of RND-type monovalent metal-exporter systems containing a number of essential metal-binding methionines, resulting in a much narrower substrate range.


Subject(s)
Bacterial Proteins/metabolism , Escherichia coli/metabolism , Membrane Transport Proteins/metabolism , Metals/metabolism , Organic Chemicals/metabolism , Salmonella/metabolism , Amino Acids/metabolism , Anti-Bacterial Agents/metabolism , Microbial Sensitivity Tests , Phylogeny , Protein Binding , Sequence Homology, Amino Acid , Substrate Specificity
2.
Sci Total Environ ; 382(2-3): 311-23, 2007 Sep 01.
Article in English | MEDLINE | ID: mdl-17543371

ABSTRACT

Total estrogenic activity, measured using the yeast estrogen screen reporter gene bioassay, decreased from 60 pM (equivalent 17alpha-ethinylestradiol concentration) to an estimated 1.4 pM during a 24-hour period in which secondary effluent was held in a shallow infiltration basin. Over the same period, anti-estrogenic activity, measured as an equivalent concentration of tamoxifen, increased from 35 to 260 nM, suggesting that antagonists produced during secondary effluent storage played a role in the apparent loss of estrogenic activity. Androgenic activity, measured over the same 24-hour period using the yeast androgen screen, was near or below the method detection limit (0.7 pM as testosterone). However, the same pond samples were clearly anti-androgenic. When whole-sample extracts were separated via adsorption and stepwise elution in alcohol/water solutions consisting of 20, 40 and 100% ethanol, the sum of estrogenic activities in derived fractions was always lower than the measured estrogenic activity in the whole-sample extracts. Summed anti-estrogenic activities in the same fractions, however, always exceeded values for corresponding whole-sample extracts. Results reinforce the importance of sample preparation steps (concentration of organics followed by estrogen/anti-estrogen separation) when measuring endocrine-related activities in chemically complex samples such as wastewater effluent. The potential complexity of relationships among estrogens, anti-estrogens and matrix organics suggests that additive models are of questionable validity for estimating whole-sample estrogenic activity from measurements involving sample fractions.


Subject(s)
Environmental Monitoring/methods , Estrogen Receptor Modulators/analysis , Estrogens, Non-Steroidal/analysis , Sewage/analysis , Water Pollutants, Chemical/analysis , Androgens/analysis , Androgens/toxicity , Arizona , Biological Assay , Dose-Response Relationship, Drug , Estrogen Receptor Modulators/toxicity , Estrogens, Non-Steroidal/toxicity , Receptors, Estrogen/drug effects , Receptors, Estrogen/genetics , Receptors, Estrogen/metabolism , Saccharomyces cerevisiae/drug effects , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Selective Estrogen Receptor Modulators/pharmacology , Tamoxifen/pharmacology , Water Pollutants, Chemical/toxicity
3.
Alcohol Clin Exp Res ; 26(11): 1603-8, 2002 Nov.
Article in English | MEDLINE | ID: mdl-12436047

ABSTRACT

BACKGROUND: The inbred long-sleep (ILS) and inbred short-sleep (ISS) strains of mice are widely studied as a model of initial sensitivity to alcohol. Recently, a large comparative DNA sequencing study of candidate genes located within the four Lore quantitative trait loci (QTLs) associated with the ethanol-induced loss of righting reflex in ILS and ISS mice has identified eight genes that contain coding region differences corresponding to amino acid changes. Here, recently developed interval-specific congenic recombinant mice (ISCRs) have been used to map these genes in relationship to newly narrowed QTL regions. METHODS: Regions of candidate genes containing DNA differences corresponding to previously identified amino acid changes between ISS and ILS mice were amplified from either genomic DNA or complementary DNA from ISCR mice using polymerase chain reaction. The products were purified and directly sequenced to determine the genotypes for each polymorphism. On the basis of these genotypic data, each candidate gene was determined to be located either within or outside of recently narrowed Lore QTL intervals. RESULTS: Of these eight candidates with protein-coding differences, five are now excluded from their respective Lore intervals. The other three (Znf142, Ptprn, and Znf133) have been localized to the narrowed QTL intervals. CONCLUSIONS: These three central nervous system genes (Znf142, Ptprn, and Znf133) represent promising candidates for involvement in the differential sensitivity to alcohol exhibited between ILS and ISS mice. This study also demonstrates how the combination of high-throughput comparative gene sequencing and concomitant genetic fine mapping of QTL regions with ISCRs can be an effective tool for accelerating the process of moving from QTL to gene.


Subject(s)
Alcoholism/genetics , Chromosome Mapping/methods , Polymorphism, Genetic/genetics , Quantitative Trait Loci/genetics , Animals , Mice , Mice, Congenic , Sequence Analysis, Protein/methods
4.
Addict Biol ; 7(4): 365-71, 2002 Oct.
Article in English | MEDLINE | ID: mdl-14578011

ABSTRACT

Coding region DNA sequence variants have been recently identified in several QTL candidate genes in a mouse model of differential sensitivity to alcohol [inbred long-sleep (ILS) and inbred short-sleep (ISS)]. This work has been extended into a human population characterized for their initial level of response to alcohol (LR). The coding region of one of the most promising of these candidate genes, zinc finger 133 (Znf133), has been sequenced completely in 50 individuals who participated in alcohol challenges at approximately age 20 and have been followed subsequently for the last 15 years. PCR products were obtained for the protein coding region of ZNF133 using human genomic DNA and directly sequenced using automated sequencers. Novel single nucleotide polymorphisms (SNPs) were detected by analyzing the sequence data using a suite of bioinformatics programs including Consed, Phred, Phrap and Polyphred. Five human SNPs were detected, two that correspond to amino acid changes in the protein, two that are silent DNA changes and one located in an intron. In this small sample, no significant association between any of the SNPs and alcohol diagnosis was detected. A follow-up of these SNPs in a larger sample should allow a more definitive conclusion to be reached. Significantly, the data presented here demonstrate the feasibility of directly testing genes in human alcoholic populations that had been identified first by comparative DNA sequencing of candidate genes located within mouse alcohol-related QTLs, even without detailed knowledge of the gene's function.


Subject(s)
Alcoholism/genetics , DNA-Binding Proteins/genetics , Quantitative Trait Loci/genetics , Repressor Proteins/genetics , Adult , Alcoholism/diagnosis , Diagnostic and Statistical Manual of Mental Disorders , Exons/genetics , Follow-Up Studies , Gene Frequency , Gene Silencing/physiology , Genotype , Humans , Male , Open Reading Frames/genetics , Polymorphism, Single Nucleotide/genetics , Sampling Studies , Serotonin/genetics
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