19 research outputs found
Surfactant control of gas transfer velocity along an offshore coastal transect: results from a laboratory gas exchange tank
Understanding the physical and biogeochemical controls of air–sea gas
exchange is necessary for establishing biogeochemical models for predicting
regional- and global-scale trace gas fluxes and feedbacks. To this end we
report the results of experiments designed to constrain the effect of
surfactants in the sea surface microlayer (SML) on the gas transfer velocity
(<i>k</i><sub>w</sub>; cm h<sup>−1</sup>), seasonally (2012–2013) along a 20 km
coastal transect (North East UK). We measured total surfactant activity (SA),
chromophoric dissolved organic matter (CDOM) and chlorophyll <i>a</i> (Chl <i>a</i>) in
the SML and in sub-surface water (SSW) and we evaluated corresponding
<i>k</i><sub>w</sub> values using a custom-designed air–sea gas exchange tank.
Temporal SA variability exceeded its spatial variability. Overall, SA varied
5-fold between all samples (0.08 to 0.38 mg L<sup>−1</sup> T-X-100), being
highest in the SML during summer. SML SA enrichment factors (EFs) relative to
SSW were ∼ 1.0 to 1.9, except for two values (0.75; 0.89: February
2013). The range in corresponding <i>k</i><sub>660</sub> (<i>k</i><sub>w</sub> for CO<sub>2</sub> in
seawater at 20 °C) was 6.8 to 22.0 cm h<sup>−1</sup>. The film factor
<i>R</i><sub>660</sub> (the ratio of <i>k</i><sub>660</sub> for seawater to <i>k</i><sub>660</sub> for “clean”,
i.e. surfactant-free, laboratory water) was strongly correlated with SML SA
(<i>r</i> ≥ 0.70, <i>p</i> ≤ 0.002, each <i>n</i> = 16). High SML SA typically
corresponded to <i>k</i><sub>660</sub> suppressions ∼ 14 to 51 % relative to
clean laboratory water, highlighting strong spatiotemporal gradients in gas
exchange due to varying surfactant in these coastal waters. Such variability
should be taken account of when evaluating marine trace gas sources and
sinks. Total CDOM absorbance (250 to 450 nm), the CDOM spectral slope ratio
(<i>S</i><sub>R</sub> = <i>S</i><sub>275 − 295</sub>∕<i>S</i><sub>350 − 400</sub>), the 250 : 365 nm CDOM
absorption ratio (<i>E</i><sub>2</sub> : <i>E</i><sub>3</sub>), and Chl <i>a</i> all indicated spatial
and temporal signals in the quantity and composition of organic matter in the
SML and SSW. This prompts us to hypothesise that spatiotemporal variation in
<i>R</i><sub>660</sub> and its relationship with SA is a consequence of compositional
differences in the surfactant fraction of the SML DOM pool that warrants
further investigation
Analysis of the EIAV Rev-Responsive Element (RRE) Reveals a Conserved RNA Motif Required for High Affinity Rev Binding in Both HIV-1 and EIAV
A cis-acting RNA regulatory element, the Rev-responsive element (RRE), has essential roles in replication of lentiviruses, including human immunodeficiency virus (HIV-1) and equine infection anemia virus (EIAV). The RRE binds the viral trans-acting regulatory protein, Rev, to mediate nucleocytoplasmic transport of incompletely spliced mRNAs encoding viral structural genes and genomic RNA. Because of its potential as a clinical target, RRE-Rev interactions have been well studied in HIV-1; however, detailed molecular structures of Rev-RRE complexes in other lentiviruses are still lacking. In this study, we investigate the secondary structure of the EIAV RRE and interrogate regulatory protein-RNA interactions in EIAV Rev-RRE complexes. Computational prediction and detailed chemical probing and footprinting experiments were used to determine the RNA secondary structure of EIAV RRE-1, a 555 nt region that provides RRE function in vivo. Chemical probing experiments confirmed the presence of several predicted loop and stem-loop structures, which are conserved among 140 EIAV sequence variants. Footprinting experiments revealed that Rev binding induces significant structural rearrangement in two conserved domains characterized by stable stem-loop structures. Rev binding region-1 (RBR-1) corresponds to a genetically-defined Rev binding region that overlaps exon 1 of the EIAV rev gene and contains an exonic splicing enhancer (ESE). RBR-2, characterized for the first time in this study, is required for high affinity binding of EIAV Rev to the RRE. RBR-2 contains an RNA structural motif that is also found within the high affinity Rev binding site in HIV-1 (stem-loop IIB), and within or near mapped RRE regions of four additional lentiviruses. The powerful integration of computational and experimental approaches in this study has generated a validated RNA secondary structure for the EIAV RRE and provided provocative evidence that high affinity Rev binding sites of HIV-1 and EIAV share a conserved RNA structural motif. The presence of this motif in phylogenetically divergent lentiviruses suggests that it may play a role in highly conserved interactions that could be targeted in novel anti-lentiviral therapies
Matrin 3 is a co-factor for HIV-1 Rev in regulating post-transcriptional viral gene expression
Post-transcriptional regulation of HIV-1 gene expression is mediated by interactions between viral transcripts and viral/cellular proteins. For HIV-1, post-transcriptional nuclear control allows for the export of intron-containing RNAs which are normally retained in the nucleus. Specific signals on the viral RNAs, such as instability sequences (INS) and Rev responsive element (RRE), are binding sites for viral and cellular factors that serve to regulate RNA-export. The HIV-1 encoded viral Rev protein binds to the RRE found on unspliced and incompletely spliced viral RNAs. Binding by Rev directs the export of these RNAs from the nucleus to the cytoplasm. Previously, Rev co-factors have been found to include cellular factors such as CRM1, DDX3, PIMT and others. In this work, the nuclear matrix protein Matrin 3 is shown to bind Rev/RRE-containing viral RNA. This binding interaction stabilizes unspliced and partially spliced HIV-1 transcripts leading to increased cytoplasmic expression of these viral RNAs
Surfactant control of gas transfer velocity along an offshore coastal transect: results from a laboratory gas exchange tank
Understanding the physical and biogeochemical controls of air–sea gas
exchange is necessary for establishing biogeochemical models for predicting
regional- and global-scale trace gas fluxes and feedbacks. To this end we
report the results of experiments designed to constrain the effect of
surfactants in the sea surface microlayer (SML) on the gas transfer velocity
(kw; cm h−1), seasonally (2012–2013) along a 20 km
coastal transect (North East UK). We measured total surfactant activity (SA),
chromophoric dissolved organic matter (CDOM) and chlorophyll a (Chl a) in
the SML and in sub-surface water (SSW) and we evaluated corresponding
kw values using a custom-designed air–sea gas exchange tank.
Temporal SA variability exceeded its spatial variability. Overall, SA varied
5-fold between all samples (0.08 to 0.38 mg L−1 T-X-100), being
highest in the SML during summer. SML SA enrichment factors (EFs) relative to
SSW were ∼ 1.0 to 1.9, except for two values (0.75; 0.89: February
2013). The range in corresponding k660 (kw for CO2 in
seawater at 20 °C) was 6.8 to 22.0 cm h−1. The film factor
R660 (the ratio of k660 for seawater to k660 for “clean”,
i.e. surfactant-free, laboratory water) was strongly correlated with SML SA
(r ≥ 0.70, p ≤ 0.002, each n = 16). High SML SA typically
corresponded to k660 suppressions ∼ 14 to 51 % relative to
clean laboratory water, highlighting strong spatiotemporal gradients in gas
exchange due to varying surfactant in these coastal waters. Such variability
should be taken account of when evaluating marine trace gas sources and
sinks. Total CDOM absorbance (250 to 450 nm), the CDOM spectral slope ratio
(SR = S275 − 295∕S350 − 400), the 250 : 365 nm CDOM
absorption ratio (E2 : E3), and Chl a all indicated spatial
and temporal signals in the quantity and composition of organic matter in the
SML and SSW. This prompts us to hypothesise that spatiotemporal variation in
R660 and its relationship with SA is a consequence of compositional
differences in the surfactant fraction of the SML DOM pool that warrants
further investigation
PHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS
Unmanned aerial vehicles (UAVs) are becoming increasingly popular in professional mapping for stockpile analysis, construction site
monitoring, and many other applications. Due to their robustness and competitive pricing, consumer UAVs are used more and more
for these applications, but they are usually equipped with rolling shutter cameras. This is a significant obstacle when it comes to
extracting high accuracy measurements using available photogrammetry software packages. In this paper, we evaluate the impact of
the rolling shutter cameras of typical consumer UAVs on the accuracy of a 3D reconstruction. Hereto, we use a beta-version of the
Pix4Dmapper 2.1 software to compare traditional (non rolling shutter) camera models against a newly implemented rolling shutter
model with respect to both the accuracy of geo-referenced validation points and to the quality of the motion estimation. Multiple
datasets have been acquired using popular quadrocopters (DJI Phantom 2 Vision+, DJI Inspire 1 and 3DR Solo) following a grid
flight plan. For comparison, we acquired a dataset using a professional mapping drone (senseFly eBee) equipped with a global shutter
camera. The bundle block adjustment of each dataset shows a significant accuracy improvement on validation ground control points
when applying the new rolling shutter camera model for flights at higher speed (8m=s). Competitive accuracies can be obtained by
using the rolling shutter model, although global shutter cameras are still superior. Furthermore, we are able to show that the speed of
the drone (and its direction) can be solely estimated from the rolling shutter effect of the camera
QUALITY ASSESSMENT OF 3D RECONSTRUCTION USING FISHEYE AND PERSPECTIVE SENSORS
Recent mathematical advances, growing alongside the use of unmanned aerial vehicles, have not only overcome the restriction of roll and pitch angles during flight but also enabled us to apply non-metric cameras in photogrammetric method, providing more flexibility for sensor selection. Fisheye cameras, for example, advantageously provide images with wide coverage; however, these images are extremely distorted and their non-uniform resolutions make them more difficult to use for mapping or terrestrial 3D modelling. In this paper, we compare the usability of different camera-lens combinations, using the complete workflow implemented in Pix4Dmapper to achieve the final terrestrial reconstruction result of a well-known historical site in Switzerland: the Chillon Castle. We assess the accuracy of the outcome acquired by consumer cameras with perspective and fisheye lenses, comparing the results to a laser scanner point cloud