Showing papers by "Jacob G. Bundy published in 2013"

DNA sequence variation and methylation in an arsenic tolerant earthworm population

Abstract: Evidence is emerging that earthworms can evolve tolerance to trace element enriched soils. However, few studies have sought to establish whether such tolerance is determined through adaptation or plasticity. Here we report results from a combined analysis of mitochondrial (cytochrome oxidase II, COII), nuclear (amplified fragment length polymorphism, AFLP) variation and DNA methylation in populations of the earthworm Lumbricus rubellus from sites across an abandoned arsenic and copper mine. Earthworms from the mine site population demonstrated clear arsenic tolerance in comparison to a naive strain. COII and AFLP results suggest that L. rubellus from the unexposed and the adapted populations comprises two cryptic lineages (Lineages A and B) each of which was present across all of the sites. AFLP analysis by lineage highlighted variations associated with soil metal/metalloid concentrations (most clearly for Lineage A) suggesting a genetic component to the observed tolerance. The methylation sensitive AFLP (Me-AFLP) identified a high genome methylation content (average 13.5%) in both lineages. For Lineage A, Me-AFLP analysis did not identify a strong association with soil arsenic levels. For Lineage B, however, a clear association of methylation patterns with soil arsenic concentrations was found. This suggests that Lineage B earthworms utilise epigenetic mechanisms to adapt to the presence of contamination. These fundamentally different genetic adjustments in the two clades indicate that the two lineages employ distinct adaptive strategies (genetic or epigenetic) in response to arsenic exposure. Mechanisms driving this variation may be founded within the colonisation histories of the lineages.

Nitrogen and Carbon Status Are Integrated at the Transcriptional Level by the Nitrogen Regulator NtrC In Vivo

Abstract: Nitrogen regulation in Escherichia coli is a model system for gene regulation in bacteria. Growth on glutamine as a sole nitrogen source is assumed to be nitrogen limiting, inferred from slow growth and strong NtrB/NtrC-dependent gene activation. However, we show that under these conditions, the intracellular glutamine concentration is not limiting but 5.6-fold higher than in ammonium-replete conditions; in addition, α-ketoglutarate concentrations are elevated. We address this glutamine paradox from a systems perspective. We show that the dominant role of NtrC is to regulate glnA transcription and its own expression, indicating that the glutamine paradox is not due to NtrC-independent gene regulation. The absolute intracellular NtrC and GS concentrations reveal molecular control parameters, where NtrC-specific activities were highest in nitrogen-starved cells, while under glutamine growth, NtrC showed intermediate specific activity. We propose an in vivo model in which α-ketoglutarate can derepress nitrogen regulation despite nitrogen sufficiency. IMPORTANCE Nitrogen is the most important nutrient for cell growth after carbon, and its metabolism is coordinated at the metabolic, transcriptional, and protein levels. We show that growth on glutamine as a sole nitrogen source, commonly assumed to be nitrogen limiting and used as such as a model system for nitrogen limitation, is in fact nitrogen replete. Our integrative quantitative analysis of key molecules involved in nitrogen assimilation and regulation reveal that glutamine is not necessarily the dominant molecule signaling nitrogen sufficiency and that α-ketoglutarate may play a more important role in signaling nitrogen status. NtrB/NtrC integrates α-ketoglutarate and glutamine signaling—sensed by the UTase ( glnD ) and PII ( glnB ), respectively—and regulates the nitrogen response through self-regulated expression and phosphorylation-dependent activation of the nitrogen ( ntr ) regulon. Our findings support α-ketoglutarate acting as a global regulatory metabolite.

Earthworms Produce phytochelatins in Response to Arsenic

Abstract: Phytochelatins are small cysteine-rich non-ribosomal peptides that chelate soft metal and metalloid ions, such as cadmium and arsenic. They are widely produced by plants and microbes; phytochelatin synthase genes are also present in animal species from several different phyla, but there is still little known about whether these genes are functional in animals, and if so, whether they are metal-responsive. We analysed phytochelatin production by direct chemical analysis in Lumbricus rubellus earthworms exposed to arsenic for a 28 day period, and found that arsenic clearly induced phytochelatin production in a dose-dependent manner. It was necessary to measure the phytochelatin metabolite concentrations directly, as there was no upregulation of phytochelatin synthase gene expression after 28 days: phytochelatin synthesis appears not to be transcriptionally regulated in animals. A further untargetted metabolomic analysis also found changes in metabolites associated with the transsulfuration pathway, which channels sulfur flux from methionine for phytochelatin synthesis. There was no evidence of biological transformation of arsenic (e.g. into methylated species) as a result of laboratory arsenic exposure. Finally, we compared wild populations of earthworms sampled from the field, and found that both arsenic-contaminated and cadmium-contaminated mine site worms had elevated phytochelatin concentrations.

Direct assessment of metabolite utilization by Pseudomonas aeruginosa during growth on artificial sputum medium.

Abstract: We grew Pseudomonas aeruginosa in LB and artificial sputum medium (ASM) (filtered and unfiltered) and quantified metabolite utilization and excretion by nuclear magnetic resonance (NMR) spectroscopy (metabolic footprinting or extracellular metabolomics). Utilization rates were similar between media, but there were differences in excretion-e.g., acetate was produced only in unfiltered ASM.

Combining spectral ordering with peak fitting for one-dimensional NMR quantitative metabolomics.

Abstract: One-dimensional 1H NMR spectra are widely used for metabolic profiling. Such data sets often contain hundreds or thousands of spectra, which typically have variation in their sample chemistry, which leads to chemical shift variation “positional noise”. This is a severe problem for metabolite quantification and data analysis, as peak integrals do not necessarily correspond across all spectra in a set. Various alignment algorithms have been developed to address this problem, but different studies have taken different approaches to evaluating the performance of NMR alignment routines and can be subjective or rely on an arbitrary cutoff. Furthermore, most alignment approaches completely fail to deal with peaks that overlap. We adopt the simple and robust method of ordering spectra with respect to an internally varying peak and use this to compare different alignment algorithms. Furthermore, we use the information from this procedure to help improve a Bayesian approach to automated peak deconvolution by restri...

ToF-SIMS analysis of biomolecules in the model organism Caenorhabditis elegans

Abstract: C.elegans is a biomedical key model organism as it is a simple, easy to maintain eukaryote, which shares many gene homologues with higher mammals. As each of its cells has been traced during development and characterized by light microscopy, mass spectrometry-based time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging seems to promise exciting new insights. In this study, we have investigated simple but basic factors for ToF-SIMS-based imaging of C.elegans. By comparing chemical standards and two authentic C. elegans mutant extracts (N2 and Daf-2), we found that for our purposes, Bi3+ is better suited due to its higher mass and spatial resolution. We also investigated the use of light microscopy slides as imaging substrates and gold coating as standard for mass calibration in higher mass ranges. Our findings and preliminary imaging results show that ToF-SIMS is a well-suited platform for mass spectrometry imaging. Copyright © 2012 John Wiley & Sons, Ltd.

Profiling the Metabolic Signature of Senescence

Abstract: Aging is a complex process, which involves changes in different cellular functions that all can be integrated on the metabolite level. This means that different gene regulation pathways that affect aging might lead to similar changes in metabolism and result in a metabolic signature of senescence. In this chapter, we describe how to establish a metabolic signature of senescence by analyzing the metabolome of various longevity mutants of the model organism Caenorhabditis elegans using gas chromatography-mass spectrometry (GC-MS). Since longevity-associated genes exist for other model organisms and humans, this analysis could be universally applied to body fluids or whole tissue samples for studing the relationship between senescence and metabolism.