413 research outputs found
Regulation of Phytochrome Gene Expression
In etiolated oat seedlings exposure to red light results in a decrease in the transcription of the phytochrome genes, the abundance of phytochrome mRNA, and the level of phytochrome protein. Phytochrome itself serves as the photoreceptor for the response of decreased mRNA and transcription levels. The decrease in phytochrome mRNA is sensitive to low levels of Pfr. Even green safelight is capable of inducing a decrease in phytochrome mRNA abundance. Barley phytochrome mRNA abundance is also dramatically down-regulated in response to red light but other plant species vary in their ability to decrease phytochrome mRNA abundance after red light treatment. Kinetic analysis and protein synthesis inhibitor data indicate that the abundance of phytochrome mRNA in oat seedlings may be regulated in part at the post-transcriptional level. Phytochrome mRNA may provide a useful model system for the investigation of posttranscriptional regulation of plant gene expression
Intermolecular Nitrogen Transfer in the Enzymic Conversion of Glutamate to [delta]-Aminolevulinic Acid by Extracts of Chlorella vulgaris
Protecting climate with forests
Policies for climate mitigation on land rarely acknowledge biophysical factors, such as reflectivity, evaporation, and surface roughness. Yet such factors can alter temperatures much more than carbon sequestration does, and often in a conflicting way. We outline a framework for examining biophysical factors in mitigation policies and provide some best-practice recommendations based on that framework. Tropical projects-avoided deforestation, forest restoration, and afforestation-provide the greatest climate value, because carbon storage and biophysics align to cool the Earth. In contrast, the climate benefits of carbon storage are often counteracted in boreal and other snow-covered regions, where darker trees trap more heat than snow does. Managers can increase the climate benefit of some forest projects by using more reflective and deciduous species and through urban forestry projects that reduce energy use. Ignoring biophysical interactions could result in millions of dollars being invested in some mitigation projects that provide little climate benefit or, worse, are counter-productive
An Amazonian rainforest and its fragments as a laboratory of global change
We synthesize findings from one of the world’s largest and longest-running experimental investigations, the Biological Dynamics of Forest Fragments Project (BDFFP). Spanning an area of ~1,000 km2 in central Amazonia, the BDFFP was initially designed to evaluate the effects of fragment area on rainforest biodiversity and ecological processes. However, over its 38-year history to date the project has far transcended its original mission, and now focuses more broadly on landscape dynamics, forest regeneration, regional- and global-change phenomena, and their potential interactions and implications for Amazonian forest
conservation. The project has yielded a wealth of insights into the ecological and environmental changes in fragmented forests. For instance, many rainforest species are naturally rare and hence are either missing entirely from many fragments or so sparsely represented as to have little chance of long-term survival. Additionally, edge effects are a prominent driver of fragment dynamics, strongly affecting forest microclimate, tree mortality, carbon storage and a diversity of fauna.
Even within our controlled study area, the landscape has been highly dynamic: for example, the matrix of vegetation surrounding fragments has changed markedly over time, succeeding from large cattle pastures or forest clearcuts to secondary regrowth forest. This, in turn, has influenced the dynamics of plant and animal communities and their trajectories of change over time. In general, fauna and flora have responded differently to fragmentation: the most locally extinction-prone animal species are those that have both large area requirements and low tolerance of the modified habitats surrounding fragments, whereas the most
vulnerable plants are those that respond poorly to edge effects or chronic forest disturbances, and that rely on vulnerable animals for seed dispersal or pollination.
Relative to intact forests, most fragments are hyperdynamic, with unstable or fluctuating populations of species in response to a variety of external vicissitudes. Rare weather events such as droughts, windstorms and floods have had strong impacts on fragments and left lasting legacies of change. Both forest fragments and the intact forests in our study area appear to be influenced by larger-scale environmental drivers operating at regional or global scales. These drivers are apparently increasing forest productivity and have led to concerted, widespread increases in forest dynamics and plant growth, shifts in tree-community composition, and increases in liana (woody vine) abundance. Such large-scale drivers are likely to interact synergistically with habitat fragmentation, exacerbating its effects for some species and ecological phenomena. Hence, the impacts of fragmentation on
Amazonian biodiversity and ecosystem processes appear to be a consequence not only of local site features but also of broader changes occurring at landscape, regional and even global scales
Exposure and fetal growth-associated miRNA alterations in the human placenta
Researchers have begun to examine epigenetic alterations in the placenta, making key advances in understanding the epigenetic regulatory mechanisms of the placenta that define underlying processes of human development and disease. Examining changes in microRNA (miRNA) expression associated with environmental exposures and fetal growth is providing critical insights into the biology of development, response to in utero exposure, and future disease risk assessment. This review aims to highlight previous studies describing changes in miRNA expression in the human placenta associated with in utero exposure and fetal growth and seeks to assess the future directions in this exciting field of research
MicroRNA-375 plays a dual role in prostate carcinogenesis
Background: Prostate cancer (PCa), a highly incident and heterogeneous malignancy, mostly affects men from developed countries. Increased knowledge of the biological mechanisms underlying PCa onset and progression are critical for improved clinical management. MicroRNAs (miRNAs) deregulation is common in human cancers, and understanding how it impacts in PCa is of major importance. MiRNAs are mostly downregulated in cancer, although some are overexpressed, playing a critical role in tumor initiation and progression. We aimed to identify miRNAs overexpressed in PCa and subsequently determine its impact in tumorigenesis.
Results: MicroRNA expression profiling in primary PCa and morphological normal prostate (MNPT) tissues identified 17 miRNAs significantly overexpressed in PCa. Expression of three miRNAs, not previously associated with PCa, was subsequently assessed in large independent sets of primary tumors, in which miR-182 and miR-375 were validated, but not miR-32. Significantly higher expression levels of miR-375 were depicted in patients with higher Gleason score and more advanced pathological stage, aswellaswithregionallymph nodesmetastases. Forced expression of miR-375 in PC-3 cells, which display the lowest miR-375 levels among PCa cell lines, increased apoptosis and reduced invasion ability and cell viability. Intriguingly, in 22Rv1 cells, which displayed the highest miR-375 expression, knockdown experiments also attenuated the malignant phenotype. Gene ontology analysis implicated miR-375 in several key pathways deregulated in PCa, including cell cycle and cell differentiation. Moreover, CCND2 was identified as putative miR-375 target in PCa, confirmed by luciferase assay.
Conclusions: A dual role for miR-375 in prostate cancer progression is suggested, highlighting the importance of cellular context on microRNA targeting.Research Center of Portuguese Oncology Institute - Porto (CI-IPOP 4–2012) and by the Federal funds through Programa Operacional Temático Factores de Competitividade (COMPETE) with co-participation from the European Community Fund (FEDER) and by the National funds through Fundação para a CiĂŞncia e TecnologĂa (FCT) under the projects EXPL/BIM-ONC/0556/2012. FQV and JRC were or are supported by FCT-Fundação para a CiĂŞncia e a Tecnologia grants (SFRH/BD/70564/2010 and SFRH/BD/71293/2010, respectively)
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SGP Cloud and Land Surface Interaction Campaign (CLASIC): Measurement Platforms
The Cloud and Land Surface Interaction Campaign (CLASIC) will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) Southern Great Plains (SGP) site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of CLASIC includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the ACRF SGP site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations. An overview of the measurement platforms that will be used during the CLASIC are described in this report. The coordination of measurements, especially as it relates to aircraft flight plans, will be discussed in the CLASIC Implementation Plan
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SGP Cloud and Land Surface Interaction Campaign (CLASIC): Science and Implementation Plan
The Cloud and Land Surface Interaction Campaign is a field experiment designed to collect a comprehensive data set that can be used to quantify the interactions that occur between the atmosphere, biosphere, land surface, and subsurface. A particular focus will be on how these interactions modulate the abundance and characteristics of small and medium size cumuliform clouds that are generated by local convection. These interactions are not well understood and are responsible for large uncertainties in global climate models, which are used to forecast future climate states. The campaign will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energy’s Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of Cloud and Land Surface Interaction Campaign includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations
The climatic impacts of land surface change and carbon management, and the implications for climate-change mitigation policy
http://www.sciencedirect.com/science/journal/14693062Strategies to mitigate anthropogenic climate change recognize that carbon sequestration in the terrestrial biosphere
can reduce the build-up of carbon dioxide in the Earth’s atmosphere. However, climate mitigation policies do not
generally incorporate the effects of these changes in the land surface on the surface albedo, the fluxes of sensible and
latent heat to the atmosphere, and the distribution of energy within the climate system. Changes in these components
of the surface energy budget can affect the local, regional, and global climate. Given the goal of mitigating climate
change, it is important to consider all of the effects of changes in terrestrial vegetation and to work toward a better
understanding of the full climate system. Acknowledging the importance of land surface change as a component of
climate change makes it more challenging to create a system of credits and debits wherein emission or sequestration
of carbon in the biosphere is equated with emission of carbon from fossil fuels. Recognition of the complexity of
human-caused changes in climate does not, however, weaken the importance of actions that would seek to minimize
our disturbance of the Earth’s environmental system and that would reduce societal and ecological vulnerability to
environmental change and variability
Constraining the Nature of Dark Energy using the SKA
We investigate the potential of the Square Kilometer Array Telescope (SKA) to
constrain the sound speed of dark energy. The Integrated Sachs Wolfe (ISW)
effect results in a significant power spectrum signal when CMB temperature
anisotropies are cross-correlated with galaxies detectable with the SKA in HI.
We consider using this measurement, the autocorrelation of HI galaxies and the
CMB temperature power spectrum to derive constraints on the sound speed. We
study the contributions to the cross-correlation signal made by galaxies at
different redshifts and use redshift tomography to improve the signal-to-noise.
We use a chi-square analysis to estimate the significance of detecting a sound
speed different from that expected in quintessence models, finding that there
is potential to distinguish very low sound speeds from the quintessence value.Comment: 8 pages, 8 figures; updated references for publication MNRA
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