37 research outputs found
Differential detoxification strategies in closely related herbivore species across a sharp ecotone
Herbivores face a continual challenge of balancing their nutritional needs with the toxicity that they encounter in their diets. Plants produce toxic phytochemicals to ward off herbivores, while herbivores have evolved methods of detoxifying these chemicals. One such method is the use of cytochrome P450 enzymes (CYPs), many of which are found in the liver. While there has been much study of CYPs in model systems, there has been little research on CYPs in wild systems. The woodrat species Neotoma lepida and N. bryanti live across a sharp ecotone in which they encounter plants with vastly different chemistry. Neotoma lepida, more of a specialist, prefers the cyanogenic glycoside-containing Prunus fasciculata, while N. bryanti, more of a generalist, has a more varied diet including a large proportion of the anthraquinone-containing Frangula californica. We investigated woodrat CYP activity to answer the following questions: 1) How to CYPs detoxify specialized diets in N. lepida and N. bryanti? 2) How does CYP detoxification ability limit diet switching in N. lepida and N. bryanti? To answer these questions, we developed an in vitro assay to isolate liver CYPs and test their activity on plant extracts as well as individual compounds, using LCMS-TOF to compare post-assay chemistry.
We found that N. bryanti and N. lepida do use CYPs for detoxification, on both known and unknown plant secondary metabolites. Additionally, we found that while both woodrat species were able to modify plant toxins in the unfamiliar diet, it was not to the same ability for both species on plant compounds, indicating species and prior diet exposure are both important factors in detoxification chemistry. This lowered detoxification ability for the unfamiliar diets limits their potential to expand their range across this sharp ecotone as well as lowering the likelihood of hybridization with the other Neotoma species nearby, as they would be less likely to spend time on the opposite side of this ecotone, thereby reinforcing the species boundary
Spectral Fingerprints Predict Functional Chemistry of Native Plants Across Sagebrush-Steppe Landscapes
Landscapes are changing and under threat from anthropogenic activities, decreasing land cover, contaminated air and water quality, and climate change. These changes impact native communities and their functions at all spatial scales. A major functional trait being affected across these communities is nitrogen. Nitrogen supports plant nutrient cycling and growth, serves as an indicator for crude protein and productivity, and offers quality forage for wild and domestic herbivores. We need better ways to monitor nitrogen across space and time. Current monitoring is elaborate, time-consuming, and expensive. We propose drawing from agricultural methodologies to incorporate near-infrared spectroscopy as a technique in detecting and monitoring nitrogen concentrations across a threatened shrub-steppe ecosystem. We are currently developing calibration equations for nitrogen in sagebrush across four species (Artemisia tridentata wyomingensis, A. tripartita, A. arbuscula, A. nova), three study sites and two seasons. Preliminary results suggest that nitrogen can be accurately predicted across all sites, species, and seasons, explaining 75-90% of the variation in nitrogen. These results indicate that near infrared spectroscopy offers a rapid, noninvasive diagnostic tool for assessing nitrogen in wild systems. This advancing technology is important because it economizes the collection of ecological data in rapidly changing landscapes and provides land managers and researchers with valuable information about the health and sustainability of their lands
Eddy formation near the west coast of Greenland
Author Posting. © American Meteorological Society, 2008. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 38 (2008): 1992-2002, doi:10.1175/2008JPO3669.1.This paper extends A. Bracco and J. Pedlosky’s investigation of the eddy-formation mechanism in the eastern Labrador Sea by including a more realistic depiction of the boundary current. The quasigeostrophic model consists of a meridional, coastally trapped current with three vertical layers. The current configuration and topographic domain are chosen to match, as closely as possible, the observations of the boundary current and the varying topographic slope along the West Greenland coast. The role played by the bottom-intensified component of the boundary current on the formation of the Labrador Sea Irminger Rings is explored. Consistent with the earlier study, a short, localized bottom-trapped wave is responsible for most of the perturbation energy growth. However, for the instability to occur in the three-layer model, the deepest component of the boundary current must be sufficiently strong, highlighting the importance of the near-bottom flow. The model is able to reproduce important features of the observed vortices in the eastern Labrador Sea, including the polarity, radius, rate of formation, and vertical structure. At the time of formation, the eddies have a surface signature as well as a strong circulation at depth, possibly allowing for the transport of both surface and near-bottom water from the boundary current into the interior basin. This work also supports the idea that changes in the current structure could be responsible for the observed interannual variability in the number of Irminger Rings formed.AB is supported by
WHOI unrestricted funds, JP by the National Science
Foundation OCE 85108600, and RP by 0450658
Influences of precipitation on water mass transformation and deep convection
Author Posting. © American Meteorological Society, 2012. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 42 (2012): 1684–1700, doi:10.1175/JPO-D-11-0230.1.The influences of precipitation on water mass transformation and the strength of the meridional overturning circulation in marginal seas are studied using theoretical and idealized numerical models. Nondimensional equations are developed for the temperature and salinity anomalies of deep convective water masses, making explicit their dependence on both geometric parameters such as basin area, sill depth, and latitude, as well as on the strength of atmospheric forcing. In addition to the properties of the convective water, the theory also predicts the magnitude of precipitation required to shut down deep convection and switch the circulation into the haline mode. High-resolution numerical model calculations compare well with the theory for the properties of the convective water mass, the strength of the meridional overturning circulation, and also the shutdown of deep convection. However, the numerical model also shows that, for precipitation levels that exceed this critical threshold, the circulation retains downwelling and northward heat transport, even in the absence of deep convection.This study was supported by the
National Science Foundation underGrantsOCE-0850416,
OCE-0959381, andOCE-0859381.2013-04-0
Recommended from our members
The INtegrated CAtchment model of phosphorus dynamics (INCA-P): description and demonstration of new model structure and equations
INCA-P is a dynamic, catchment-scale phosphorus model which has been widely applied during the last decade. Since its original release in 2002, the model structure and equations have been significantly altered during several development phases. Here, we provide the first full model description since 2002 and then test the latest version of the model (v1.4.4) in a small rural catchment in northeast Scotland. The particulate phosphorus simulation was much improved compared to previous model versions, whilst the latest sorption equations allowed us to explore the potential time lags between reductions in terrestrial inputs and improvements in surface water quality, an issue of key policy relevance. The model is particularly suitable for use as a research tool, but should only be used to inform policy and land management in data-rich areas, where parameters and processes can be well-constrained. More long-term data is needed to parameterise dynamic models and test their predictions
The chemical abundance analysis of normal early A- and late B-type stars
Modern spectroscopy of early-type stars often aims at studying complex
physical phenomena. Comparatively less attention is paid to identifying and
studying the "normal" A- and B-type stars and testing how the basic atomic
parameters and standard spectral analysis allow one to fit the observations. We
wish to stablish whether the chemical composition of the solar photosphere can
be regarded as a reference for early A- and late B-type stars. We have obtained
optical high-resolution, high signal-to-noise ratio spectra of three slowly
rotating early-type stars (HD 145788, 21 Peg and pi Cet) that show no obvious
sign of chemical peculiarity, and performed a very accurate LTE abundance
analysis of up to 38 ions of 26 elements (for 21 Peg), using a vast amount of
spectral lines visible in the spectral region covered by our spectra. We
provide an exhaustive description of the abundance characteristics of the three
analysed stars with a critical review of the line parameters used to derive the
abundances. We compiled a table of atomic data for more than 1100 measured
lines that may be used in the future as a reference. The abundances we obtained
for He, C, Al, S, V, Cr, Mn, Fe, Ni, Sr, Y, and Zr are compatible with the
solar ones derived with recent 3D radiative-hydrodynamical simulations of the
solar photosphere. The abundances of the remaining studied elements show some
degree of discrepancy compared to the solar photosphere. Those of N, Na, Mg,
Si, Ca, Ti, and Nd may well be ascribed to non-LTE effects; for P, Cl, Sc and
Co, non-LTE effects are totally unknown; O, Ne, Ar, and Ba show discrepancies
that cannot be ascribed to non-LTE effects. The discrepancies obtained for O
(in two stars) and Ne agree with very recent non-LTE abundance analysis of
early B-type stars in the solar neighbourhood.Comment: Accepted for publication on Astronomy and Astrophysic
Meta-analysis of duloxetine vs. pregabalin and gabapentin in the treatment of diabetic peripheral neuropathic pain
What has GWAS done for HLA and disease associations?
The major histocompatibility complex (MHC) is located in chromosome 6p21 and contains crucial regulators of immune response, including human leucocyte antigen (HLA) genes, alongside other genes with nonimmunological roles. More recently, a repertoire of noncoding RNA genes, including expressed pseudogenes, has also been identified. The MHC is the most gene dense and most polymorphic part of the human genome. The region exhibits haplotype-specific linkage disequilibrium patterns, contains the strongest cis- and trans-eQTLs/meQTLs in the genome and is known as a hot spot for disease associations. Another layer of complexity is provided to the region by the extreme structural variation and copy number variations. While the HLA-B gene has the highest number of alleles, the HLA-DR/DQ subregion is structurally most variable and shows the highest number of disease associations. Reliance on a single reference sequence has complicated the design, execution and analysis of GWAS for the MHC region and not infrequently, the MHC region has even been excluded from the analysis of GWAS data. Here, we contrast features of the MHC region with the rest of the genome and highlight its complexities, including its functional polymorphisms beyond those determined by single nucleotide polymorphisms or single amino acid residues. One of the several issues with customary GWAS analysis is that it does not address this additional layer of polymorphisms unique to the MHC region. We highlight alternative approaches that may assist with the analysis of GWAS data from the MHC region and unravel associations with all functional polymorphisms beyond single SNPs. We suggest that despite already showing the highest number of disease associations, the true extent of the involvement of the MHC region in disease genetics may not have been uncovered