Intracellular binding of lead in the kidney: The partial isolation and characterization of postmitochondrial lead binding components

Gel chromatography of kidney postmitochondrial fractions from control rats 2 hr after injection of ²⁰³Pb or after in vitro incubation with ²⁰³Pb disclosed the presence of two fractionated Pb-binding components plus binding in the void volume and total volume regions. The binding of Pb to the two components, with molecular weights of 11,500 and 63,000 daltons, was markedly decreased in Pb-pretreated rats. Sodium dodecyl sulfate-gel electrophoresis and autoradiography showed the presence of one major ²⁰³Pb band with an estimated molecular weight of 60,000 daltons. The 11,500-dalton peak did not incorporate ¹⁴C-leucine nor did concomitant administration of cycloheximide with the ²⁰³Pb inhibit incorporation of ²⁰³Pb activity, suggesting that the component is a preformed constituent of the kidney. In vitro incubation of brain, liver and lung postmitochondrial supernatants with ²⁰³Pb disclosed that these two binding components were also present in brain but not in liver or lung, suggesting a target tissue-specific localization for these Pb-binding macromolecules.     

Molecular monitoring of disinfection efficacy using propidium monoazide in combination with quantitative PCR

One of the major drawbacks of DNA-based microbial diagnostics is its inability to discriminate between live and dead bacteria. Due to the persistence of DNA in the environment after cells have lost their viability, DNA-based assays cannot assess pathogenic risk since signals can originate from both live and dead cells. Presented here is a potential application of the novel chemical propidium monoazide (PMA), which results in the selective suppression of DNA detection from dead cells. PMA can only penetrate dead cells with permeabilized cell membranes. Upon intercalation into the DNA, covalent crosslinkage of PMA to DNA is achieved through light exposure. This modification prevents the DNA from being amplified by PCR. The method, in combination with quantitative PCR as a diagnostic tool, successfully monitored the disinfection efficacy of hypochlorite, benzalkonium and heat on several model pathogens. Threshold cycle numbers increased with increasing disinfection strength after PMA treatment of samples compared to non-PMA treated samples. With some disinfectant-specific differences, monitoring viability loss with membrane integrity as an indicator seemed to be more conservative than monitoring viability loss with plate counts. Loss of viability after short UV-exposure could not be monitored with PMA as UV light affects viability by inducing DNA damage without directly affecting membrane permeability.     

Unexpected inhibition of S-adenosyl-L-homocysteine hydrolase by a guanosine nucleoside

A series of shape-modified flexible nucleosides ('fleximers', 1, 2, and 3) was modeled, synthesized and subsequently assayed against S-adenosyl-L-homocysteine hydrolase (SAHase). No inhibitory activity was observed for the adenosine fleximer, which served as a substrate, but moderate inhibitory activity was exhibited by the guanosine fleximers. This is the first known report of a guanosine nucleoside analogue possessing activity against SAHase.     

Exploiting the complete yeast genome sequence

The completion of the genome sequence of the budding yeast Saccharomyces cerevisiae marks the dawn of an exciting new era in eukaryotic biology that will bring with it a new understanding of yeast, other model organisms, and human beings. This body of sequence data benefits yeast researchers by obviating the need for piecemeal sequencing of genes, and allows researchers working with other organisms to tap into experimental advantages inherent in the yeast system and learn from functionally characterized yeast gene products which are their proteins of interest. In addition, the yeast post-genome sequence era is serving as a testing ground for powerful new technologies, and proven experimental approaches are being applied for the first time in a comprehensive fashion on a complete eukaryotic gene repertoire.     

Depression as a risk factor for ischaemic heart disease in men: population based case-control study

Objective: To determine the relation between depression, anxiety, and use of antidepressants and the onset of ischaemic heart disease. Design: Population based case-control study. Setting: All 5623 patients registered with one general practice. Subjects: 188 male cases with ischaemic heart disease matched by age to 485 male controls without ischaemic heart disease; 139 female cases with ischaemic heart disease matched by age to 412 female controls. Main outcome measure: Adjusted odds ratios calculated by conditional logistic regression. Results: The risk of ischaemic heart disease was three times higher among men with a recorded diagnosis of depression than among controls of the same age (odds ratio 3.09; 95% confidence interval 1.33 to 7.21; P=0.009). This association persisted when smoking status, diabetes, hypertension, and underprivileged area (UPA(8)) score were included in a multivariate model (adjusted 2.75; 1.13 to 6.69; P=0.03). Men with depression within the preceding 10 years were three times more likely to develop ischaemic heart disease than were the controls (3.13; 1.27 to 7.70; P=0.01). Men with ischaemic heart disease had a higher risk of subsequent ischaemic heart disease than men without ischaemic heart disease (adjusted 2.34; 1.34 to 4.10; P=0.003). Depression was not a risk factor for ischaemic heart disease in women on multivariate analysis (adjusted 1.34; 0.70 to 2.56; P=0.38). Anxiety and subsequent ischaemic heart disease were not significantly associated in men or women. Conclusion: Depression may be an independent risk factor for ischaemic heart disease in men, but not in women.

Key messages

• So far, research into whether depression precedes myocardial infarction has been limited
• This case-control study examined the relation between ischaemic heart disease and depression and the differences in this relation between men and women
• Depression may be a risk factor for ischaemic heart disease in men but not women
• This is independent of diabetes, hypertension, deprivation score, and smoking status

     

An incipient invasion of brown anole lizards (<Emphasis Type="Italic">Anolis sagrei</Emphasis>) into their own native range in the Cayman Islands: a case of cryptic back-introduction

Human-mediated dispersal has reshaped distribution patterns and biogeographic relationships for many taxa. Long-distance and over-water dispersal were historically rare events for most species, but now human activities can move organisms quickly over long distances to new places. A potential consequence of human-mediated dispersal is the eventual reintroduction of individuals from an invasive population back into their native range; a dimension of biological invasion termed “cryptic back-introduction.” We investigated whether this phenomenon was occurring in the Cayman Islands where brown anole lizards (Anolis sagrei) with red dewlaps (i.e., throat fans), either native to Little Cayman or invasive on Grand Cayman, have been found on Cayman Brac where the native A. sagrei have yellow dewlaps. Our analysis of microsatellite data shows strong population-genetic structure among the three Cayman Islands, but also evidence for non-equilibrium. We found some instances of intermediate multilocus genotypes (possibly 3–9% of individuals), particularly between Grand Cayman and Cayman Brac. Furthermore, analysis of dewlap reflectance data classified six males sampled on Cayman Brac as having red dewlaps similar to lizards from Grand Cayman and Little Cayman. Lastly, one individual from Cayman Brac had an intermediate microsatellite genotype, a red dewlap, and a mtDNA haplotype from Grand Cayman. This mismatch among genetic and phenotypic data strongly suggests that invasive A. sagrei from Grand Cayman are interbreeding with native A. sagrei on Cayman Brac. To our knowledge, this is the first evidence of cryptic back-introduction. Although we demonstrate this phenomenon is occurring in the Cayman Islands, assessing its frequency there and prevalence in other systems may prove difficult due to the need for genetic data in most instances. Cryptic back-introductions may eventually provide some insight into how lineages are changed by the invasion process and may be an underappreciated way in which invasive species impact native biodiversity.     

Multi‐model comparison highlights consistency in predicted effect of warming on a semi‐arid shrub

A number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi‐model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity of A. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi‐model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.     

Successional dynamics of the cultivated kelp microbiome

Kelp are important primary producers that are colonized by diverse microbes that can have both positive and negative effects on their hosts. The kelp microbiome could support the burgeoning kelp cultivation sector by improving host growth, stress tolerance, and resistance to disease. Fundamental questions about the cultivated kelp microbiome still need to be addressed before microbiome-based approaches can be developed. A critical knowledge gap is how cultivated kelp microbiomes change as hosts grow, particularly following outplanting to sites that vary in abiotic conditions and microbial source pools. In this study we assessed if microbes that colonize kelp in the nursery stage persist after outplanting. We characterized microbiome succession over time on two species of kelp, Alaria marginata and Saccharina latissima, outplanted to open ocean cultivation sites in multiple geographic locations. We tested for host-species specificity of the microbiome and the effect of different abiotic conditions and microbial source pools on kelp microbiome stability during the cultivation process. We found the microbiome of kelp in the nursery is distinct from that of outplanted kelp. Few bacteria persisted on kelp following outplanting. Instead, we identified significant microbiome differences correlated with host species and microbial source pools at each cultivation site. Microbiome variation related to sampling month also indicates that seasonality in host and/or abiotic factors may influence temporal succession and microbiome turnover in cultivated kelps. This study provides a baseline understanding of microbiome dynamics during kelp cultivation and highlights research needs for applying microbiome manipulation to kelp cultivation.