990 research outputs found
Immune function and parasite resistance in male and polymorphic female Coenagrion puella
Background:
Colour polymorphisms are widespread and one of the prime examples is the colour
polymorphism in female coenagrionid damselflies: one female morph resembles the male colour
(andromorph) while one, or more, female morphs are described as typically female (gynomorph).
However, the selective pressures leading to the evolution and maintenance of this polymorphism
are not clear. Here, based on the hypothesis that coloration and especially black patterning can be
related to resistance against pathogens, we investigated the differences in immune function and
parasite resistance between the different female morphs and males.
Results:
Our studies of immune function revealed no differences in immune function between the
female morphs but between the sexes in adult damselflies. In an experimental infection females
infected shortly after emergence showed a higher resistance against a fungal pathogen than males,
however female morphs did not differ in resistance. In a field sample of adult damselflies we did not
find differences in infection rates with watermites and gregarines.
Conclusion:
With respect to resistance and immune function 'andromorph' blue females of
Coenagrion puella do not resemble the males. Therefore the colour polymorphism in coenagrionid
damselflies is unlikely to be maintained by differences in immunity
Interviewer Effects on Nonresponse
In face-to-face surveys interviewers play a crucial role in making contact with and gaining cooperation from sample units. While some analyses investigate the influence of interviewers on nonresponse, they are typically restricted to single-country studies. However, interviewer training, contacting and cooperation strategies as well as survey climates may differ across countries. Combining call-record data from the European Social Survey (ESS) with data from a detailed interviewer questionnaire on attitudes and doorstep behavior we find systematic country differences in nonresponse processes, which can in part be explained by differences in interviewer characteristics, such as contacting strategies and avowed doorstep behavior.
The scatter and evolution of the global hot gas properties of simulated galaxy cluster populations
We use the cosmo-OWLS suite of cosmological hydrodynamical simulations to
investigate the scatter and evolution of the global hot gas properties of large
simulated populations of galaxy groups and clusters. Our aim is to compare the
predictions of different physical models and to explore the extent to which
commonly-adopted assumptions in observational analyses (e.g. self-similar
evolution) are violated. We examine the relations between (true) halo mass and
the X-ray temperature, X-ray luminosity, gas mass, Sunyaev-Zel'dovich (SZ)
flux, the X-ray analogue of the SZ flux () and the hydrostatic mass. For
the most realistic models, which include AGN feedback, the slopes of the
various mass-observable relations deviate substantially from the self-similar
ones, particularly at late times and for low-mass clusters. The amplitude of
the mass-temperature relation shows negative evolution with respect to the
self-similar prediction (i.e. slower than the prediction) for all models,
driven by an increase in non-thermal pressure support at higher redshifts. The
AGN models predict strong positive evolution of the gas mass fractions at low
halo masses. The SZ flux and show positive evolution with respect to
self-similarity at low mass but negative evolution at high mass. The scatter
about the relations is well approximated by log-normal distributions, with
widths that depend mildly on halo mass. The scatter decreases significantly
with increasing redshift. The exception is the hydrostatic mass-halo mass
relation, for which the scatter increases with redshift. Finally, we discuss
the relative merits of various hot gas-based mass proxies.Comment: 31 pages (21 before appendices), 19 figures, 12 tables, accepted by
MNRAS after minor revisio
The impact of baryonic processes on the two-point correlation functions of galaxies, subhaloes and matter
The observed clustering of galaxies and the cross-correlation of galaxies and
mass provide important constraints on both cosmology and models of galaxy
formation. Even though the dissipation and feedback processes associated with
galaxy formation are thought to affect the distribution of matter, essentially
all models used to predict clustering data are based on collisionless
simulations. Here, we use large hydrodynamical simulations to investigate how
galaxy formation affects the autocorrelation functions of galaxies and
subhaloes, as well as their cross-correlation with matter. We show that the
changes due to the inclusion of baryons are not limited to small scales and are
even present in samples selected by subhalo mass. Samples selected by subhalo
mass cluster ~10% more strongly in a baryonic run on scales r > 1Mpc/h, and
this difference increases for smaller separations. While the inclusion of
baryons boosts the clustering at fixed subhalo mass on all scales, the sign of
the effect on the cross-correlation of subhaloes with matter can vary with
radius. We show that the large-scale effects are due to the change in subhalo
mass caused by the strong feedback associated with galaxy formation and may
therefore not affect samples selected by number density. However, on scales r <
r_vir significant differences remain after accounting for the change in subhalo
mass. We conclude that predictions for galaxy-galaxy and galaxy-mass clustering
from models based on collisionless simulations will have errors greater than
10% on sub-Mpc scales, unless the simulation results are modified to correctly
account for the effects of baryons on the distributions of mass and satellites.Comment: 15 pages, 9 figures. Replaced to match the version accepted by MNRA
Ultraviolet Line Emission from Metals in the Low-Redshift Intergalactic Medium
We use a high-resolution cosmological simulation that includes hydrodynamics,
multiphase star formation, and galactic winds to predict the distribution of
metal line emission at z~0 from the intergalactic medium (IGM). We focus on two
ultraviolet doublet transitions, OVI 1032,1038 and CIV 1548,1551. Emission from
filaments with moderate overdensities is orders of magnitude smaller than the
background, but isolated emission from enriched, dense regions with
T~10^5-10^5.5 K and characteristic sizes of 50-100 kpc can be detected above
the background. We show that the emission from these regions is substantially
greater when we use the metallicities predicted by the simulation (which
includes enrichment through galactic winds) than when we assume a uniform IGM
metallicity. Luminous regions correspond to volumes that have recently been
influenced by galactic winds. We also show that the line emission is clustered
on scales ~1 h^-1 Mpc. We argue that although these transitions are not
effective tracers of the warm-hot intergalactic medium, they do provide a route
to study the chemical enrichment of the IGM and the physics of galactic winds.Comment: replaced by version to appear in ApJ (conclusions unchanged, one new
figure), 16 pages (emulateapj), 11 figures, version with higher resolution
figures available at
http://www.tapir.caltech.edu/~sfurlane/metals/coverpage.htm
The interplay of the Notch signaling in hepatic stellate cells and macrophages determines the fate of liver fibrogenesis
Hepatic stellate cells (HSCs) known as “master producers” and macrophages as “master regulators”, are the key cell types that strongly contribute to the progression of liver fibrosis. Since Notch signaling regulates multiple cellular processes, we aimed to study the role of Notch signaling in HSCs differentiation and macrophages polarization and to evaluate its implication in liver fibrogenesis. Notch pathway components were found to be significantly upregulated in TGFβ-activated HSCs, inflammatory M1 macrophages, and in mouse and human fibrotic livers. Interestingly, inhibition of Notch using a selective γ-secretase inhibitor, Avagacestat, significantly inhibited TGFβ-induced HSC activation and contractility, and suppressed M1 macrophages. Additionally, Avagacestat inhibited M1 driven-fibroblasts activation and fibroblasts-driven M1 polarization (nitric oxide release) in fibroblasts and macrophages co-culture, and conditioned medium studies. In vivo, post-disease treatment with Avagacestat significantly attenuated fibrogenesis in CCl4-induced liver fibrosis mouse model. These effects were attributed to the reduction in HSCs activation, and inhibition of inflammatory M1 macrophages and upregulation of suppressive M2 macrophages. These findings suggest that Notch signaling plays a crucial role in HSC activation and M1/M2 polarization of macrophages in liver fibrosis. These results provide new insights for the development of novel therapies against liver fibrosis through modulation of Notch signaling
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