836 research outputs found
The Aharonov-Bohm Effect in the Fractional Quantum Hall Regime
We have investigated experimentally resonant tunnelling through
single-particle states formed around an antidot by a magnetic field, in the
fractional quantum Hall regime. For 1/3 filling factor around the antidot,
Aharonov-Bohm oscillations are observed with the same magnetic field period as
in the integer quantum Hall regime. All our measurements are consistent with
quasiparticles of fractional charge e*. However, the results are also
consistent with particles of any charge (>= e*) as the system must rearrange
every time the flux enclosed increases by h/e.Comment: Postscript, 4 pages, gzipped (350 kB
Phenotypic plasticity as a clue for the invasion success of the submerged aquatic plant Elodea nuttallii
Two closely related alien submerged aquatic plants were introduced into Europe. The
new invader (Elodea nuttallii) gradually displaced E. canadensis even at sites where the
latter was well established. The aim of the study was to evaluate the combined effects
of environmental factors on several phenotypic characteristics of the two Elodea species, and to relate these phenotypic characteristics to the invasion success of E. nuttallii
over E. canadensis. In a factorial design, Elodea plants were grown in aquaria containing five different nitrogen concentrations and incubated at five different light intensities. We used six functional traits (apical shoot RGR), total shoot RGR, relative elongation, root length, lateral
spread, branching degree) to measure the environmental response of the species. We
calculated plasticity indices to express the phenotypic differences between species. Light and nitrogen jointly triggered the development of phenotypic characteristics that
make E. nuttallii a more successful invader in eutrophic waters than E. canadensis. The
stronger invader showed a wider range of phenotypic plasticity. The apical elongation
was the main difference between the two species, with E. nuttallii being more than two
times longer than E. canadensis. E. canadensis formed dense side shoots even under
high shade and low nitrogen levels, whereas E. nuttallii required higher light and
nitrogen levels. We found that under more eutrophic conditions, E. nuttallii reach the water surface
sooner than E. canadensis and through intensive branching outcompetes all other
plants including E. canadensis. Our findings support the theory that more successful
invaders have wider phenotypic plasticit
Genetic determinants of cellular addiction to DNA polymerase theta
Polymerase theta (Pol θ, gene name Polq) is a widely conserved DNA polymerase that mediates a microhomology-mediated, error-prone, double strand break (DSB) repair pathway, referred to as Theta Mediated End Joining (TMEJ). Cells with homologous recombination deficiency are reliant on TMEJ for DSB repair. It is unknown whether deficiencies in other components of the DNA damage response (DDR) also result in Pol θ addiction. Here we use a CRISPR genetic screen to uncover 140 Polq synthetic lethal (PolqSL) genes, the majority of which were previously unknown. Functional analyses indicate that Pol θ/TMEJ addiction is associated with increased levels of replication-associated DSBs, regardless of the initial source of damage. We further demonstrate that approximately 30% of TCGA breast cancers have genetic alterations in PolqSL genes and exhibit genomic scars of Pol θ/TMEJ hyperactivity, thereby substantially expanding the subset of human cancers for which Pol θ inhibition represents a promising therapeutic strategy
A P53-Independent DNA Damage Response Suppresses Oncogenic Proliferation and Genome Instability
The Mre11-Rad50-Nbs1 complex is a DNA double-strand break sensor that mediates a tumor-suppressive DNA damage response (DDR) in cells undergoing oncogenic stress, yet the mechanisms underlying this effect are poorly understood. Using a genetically inducible primary mammary epithelial cell model, we demonstrate that Mre11 suppresses proliferation and DNA damage induced by diverse oncogenic drivers through a p53-independent mechanism. Breast tumorigenesis models engineered to express a hypomorphic Mre11 allele exhibit increased levels of oncogene-induced DNA damage, R-loop accumulation, and chromosomal instability with a characteristic copy number loss phenotype. Mre11 complex dysfunction is identified in a subset of human triple-negative breast cancers and is associated with increased sensitivity to DNA-damaging therapy and inhibitors of ataxia telangiectasia and Rad3 related (ATR) and poly (ADP-ribose) polymerase (PARP). Thus, deficiencies in the Mre11-dependent DDR drive proliferation and genome instability patterns in p53-deficient breast cancers and represent an opportunity for therapeutic exploitation
A global database of C4 photosynthesis in grasses
C3,C4 or Crassulacean acid metabolism (CAM) photosynthetic pathways represent a fundamental axis of trait variation in plants,with importance at scales from genome to biome. Knowing the distribution of these pathways among wild species is a crucial first step in understanding the patterns and processes of photosynthetic evolution and its role in ecological processes at large scales (e.g. changes in the composition of biomes under global change). C4 photosynthesis is most prevalent in the Poaceae (grasses), which account for about half of all C4 species (Sage et al.,1999a).Research on the evolution and ecology of these plants has undergone a
renaissance during the last 7 yr, catalyzed by phylogenetic analyses showing multiple parallel C4 origins (e.g. Christin et al.
, 2007; Vicentini et al., 2008; GPWG II, 2012), insights into the distribution of C4
species and assembly of the C4 grassland biome (Edwards & Still, 2008; Edwards & Smith, 2010; Edwards et al., 2010), and efforts to introduce the C4 pathway into rice (Hibberd et al., 2008; von Caemmerer
et al., 2012). C4 photosynthesis is an
excellent model for investigating complex trait evolution, because of the broad knowledge base describing its biochemical basis, evolutionary history, and ecological interactions (Christin et al., 2010)
Decision by sampling
We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attributeâs subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decisionâs context and also the background, real-world distribution of attribute values. DbS accounts for concave utility functions; losses looming larger than gains; hyperbolic temporal discounting; and the overestimation of small probabilities and the underestimation of large probabilities
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