Iron respiration-driven proton translocation in aerobic bacteria

Washed cell suspensions of Aquaspirillum magnetotacticum MS-1, A. itersonii E12639, Bacillus subtilis 6633, and Escherichia coli CSH27 translocated protons in response to the added oxidant O2 or NO3-, with triphenylmethylphosphonium bromide as the permeant ion. Iron respiration-driven proton translocation was observed in A. magnetotacticum MS-1, B. subtilis, and E. coli but not in a nonmagnetic strain of A. magnetotacticum (strain NM-1A) or with A. itersonii. Proton translocation to Fe3+ was totally inhibited by 500 microM NaN3 or 0.5 microM carbonyl cyanide m-chlorophenylhydrazone.     

Quantitative comparisons ofin situ microbial biodiversity by signature biomarker analysis

Microscopic examinations have convinced microbial ecologists that the culturable microbes recovered from environmental samples represent a tiny proportion of the extant microbiota. Methods for recovery and enzymatic amplification of nucleic acids from environmental samples have shown that a huge diversity existsin situ, far exceeding any expectations which were based on direct microscopy. It is now theoretically possible to extract, amplify and sequence all the nucleic acids from a community and thereby gain a comprehensive measure of the diversity as well as some insights into the phylogeny of the various elements within this community. Unfortunately, this analysis becomes economically prohibitive if applied to the multitude of niches in a single biome let alone to a diverse set of environments. It is also difficult to utilize PCR amplification on nucleic acids from some biomes because of coextracting enzymatic inhibitors. Signature biomarker analysis which potentially combines gene probe and lipid analysis on the same sample, can serve as a complement to massive environmental genome analysis in providing quantitative comparisons between microniches in the biome under study. This analysis can also give indications of the magnitude of differences in biodiversity in the blome as well as provide insight into the phenotypic activities of each community in a rapid and cost-effective manner. Applications of signature lipid biomarker analysis to define quantitatively the microbial viable biomass of portions of an Eastern USA deciduous forest, are presented.     

Phylogenetic analysis of Aquaspirillum magnetotacticum using polymerase chain reaction-amplified 16S rRNA-specific DNA.

The 16S rRNA gene of the magnetotactic magnetogen Aquaspirillum magnetotacticum MS1 was amplified by a polymerase chain reaction, using two eubacterial consensus oligodeoxynucleotide primers flanking the majority of the 16S rRNA gene, cloned, and sequenced. Phylogenetic analysis revealed that A. magnetotacticum MS1 belongs to the alpha-group of proteobacteria. This assignment offers perspective on the biochemical properties of A. magnetotacticum, since this organism is expected to have the general properties that are common to this phylogenetic group.     

Nitrogen fixation (acetylene reduction) inAquaspirillum magnetotacticum

Aquaspirillum magnetotacticum strain MS-1 and two nonmagnetic mutants derived from it reduced C₂H₂ microaerobically but not anaerobically even with NO₃ ^?. This organism apparently is not capable of NO₃ ^?-dependent nitrogen fixation. Cells ofA. magnetotacticum reduced C₂H₂ at rates comparable to those ofAzospirillum lipoferum grown under similar conditions, but much lower than that ofAzotobacter vinelandii grown aerobically. Cells ofA. magnetotacticum in anaerobic cultures lacking NO₃ ^? did not reduce C₂H₂ until O₂ was introduced. Optimum rates of C₂H₂ reduction byA. magnetotacticum were obtained at 200 Pa O₂. C₂H₂ reduction was inhibited by more than 1 kPa O₂ or 0.2 mM NO₃ ^? or NH₄ ⁺. These results suggest thatA. magnetotacticum fixes N₂ only under microaerobic, N-limited conditions.     

Interleukin-1 receptor antagonist allele (ILIRN*2) associated with nephropathy in diabetes mellitus

We have previously found association between an allele of the interleukin-1 (IL-1) receptor antagonist gene (ILIRN) and several inflammatory diseases, where IL-1 has been implicated in the inflammatory mechanism. We have now, therefore, tested the association of this specific allele (ILIRN*2) with complications of diabetes which have an inflammatory tissue component. We have tested the allele frequency of ILIRN*2 in 128 patients with insulin-dependent and 125 with non-insulin-dependent diabetes mellitus (NIDDM). There was a significant association between carriage of ILIRN*2 and diabetic nephropathy (P < 0.0001,P _corrected < 0.0012). The association was significant in both types of diabetes, but the observed increase was highest in NIDDM, rising to double the control levels. It appears that ILIRN*2 is a novel genetic marker of severity of inflammatory complications of diseases rather than a marker of disease susceptibility. If the DNA polymorphism is associated with altered gene function, new therapeutic interventions may be possible.     

Familial Clustering of Abdominal Visceral Fat and Total Fat Mass: The Québec Family Study

The evidence for common familial factors underlying total fat mass (estimated from underwater weighing) and abdominal visceral fat (assessed from CT scan) was examined in families participating in phase 2 of the Québec Family Study (QFS) using a bivariate familial correlation model. Previous QFS investigations suggest that both genetic (major and polygenic) and familial environmental factors influence each phenotype, accounting for between 55% to 71% of the phenotypic variance in fat mass, and between 55% to 72% for abdominal visceral fat The current study suggests that the bivariate familial effect ranges from 29% to 50%. This pattern suggests that there may be common familial determinants for abdominal visceral fat and total fat mass, as well as additional familial factors which are specific to each. The relatively high spouse cross-trait correlations usually suggest that a large percent of the bivariate familial effect may be environmental in origin. However, if mating is not random, then the spouse resemblance may reflect either genetic or environmental causes, depending on the source [i.e., through similar genes or cohabitation (environmental) effects]. Finally, there are significant sex differences in the magnitude of the familial cross-trait correlations involving parents, but not offspring, suggesting complex generation (i.e., age) and sex effects. For example, genes may turn on or off as a function of age and sex, and/or there may be an accumulation over time of effects due to the environment which may vary by sex. Whether the common familial factors are genetic (major and/or polygenic), environmental, or some combination of both, and whether the familial expression depends on sex and/or age warrants further investigation using more complex models.