Population genetic estimation of the loss of genetic diversity during horizontal transmission of HIV-1

Background  

Genetic diversity of the human immunodeficiency virus type 1 (HIV-1) population within an individual is lost during transmission to a new host. The demography of transmission is an important determinant of evolutionary dynamics, particularly the relative impact of natural selection and genetic drift immediately following HIV-1 infection. Despite this, the magnitude of this population bottleneck is unclear.     

FHY1 and FHL act together to mediate nuclear accumulation of the phytochrome A photoreceptor

The phytochrome family of red/far-red photoreceptors is involved in the regulation of a wide range of developmental responses in plants. The Arabidopsis genome contains five phytochromes (phyA-E), among which phyA and phyB play the most important roles. Phytochromes localize to the cytosol in the dark and accumulate in the nucleus under light conditions, inducing specific phytochrome-mediated responses. Light-regulated nuclear accumulation of the phytochrome photoreceptors is therefore considered a key regulatory step of these pathways. In fact, one of the most severe phyA signaling mutants, fhy1 (far red elongated hypocotyl 1), is strongly affected in nuclear accumulation of phyA. The fhy1 fhl (fhy1 like) double mutant, lacking both FHY1 and its only close homolog FHL, is virtually blind to far-red light like phyA null seedlings. Here we show that FHL accounts for residual amounts of phyA in the nucleus in a fhy1 background and that nuclear accumulation of phyA is completely inhibited in an fhy1 FHL RNAi knock-down line. Moreover, we demonstrate that FHL and phyA interact with each other in a light-dependent manner and that they co-localize in light-induced nuclear speckles. We also identify a phyA-binding site at the C-terminus of FHY1 and FHL, and show that the N-terminal 406 amino acids of phyA are sufficient for the interaction with FHY1/FHL.     

Evolutionary dynamics of mating system shifts in Arabidopsis lyrata

Outcrossing is the prevalent mode of reproduction in plants and animals despite its substantial costs, while selfing and mixed mating occur at much lower frequency. Comparative research on plants has demonstrated the lability of self‐incompatibility, but there is little information about the transition on a within‐species level from self‐incompatibility to predominant selfing. We studied variation in mating system among 18 populations of Arabidopsis lyrata within a phylogenetic context to shed light on the evolution of selfing. Realized and potential mating systems were assessed by genetic analysis with microsatellite markers and hand‐self‐pollinations on 30 plants from each population. The fraction of self‐incompatible plants in a population was highly correlated with the outcrossing rate, showing that the spread of self‐compatibility is accompanied by or soon followed by an increase in the rate of selfing. The four predominantly selfing populations (outcrossing rates < 0.25) fell into more than one phylogenetic cluster, suggesting that the transition to selfing occurred more than once independently. Hence, A. lyrata offers an opportunity for the comparative analysis of outcrossing as a predominant mode of reproduction in plants and of the causes of the shift to selfing.     

Phytochrome A-specific signaling in Arabidopsis thaliana

Among the five phytochromes in Arabidopsis thaliana, phytochrome A (phyA) plays a major role in seedling de-etiolation. Until now more then ten positive and some negative components acting downstream of phyA have been identified. However, their site of action and hierarchical relationships are not completely understood yet.     

Functional connectivity analyses in imaging genetics: considerations on methods and data interpretation

Functional magnetic resonance imaging (fMRI) can be combined with genotype assessment to identify brain systems that mediate genetic vulnerability to mental disorders ("imaging genetics"). A data analysis approach that is widely applied is "functional connectivity". In this approach, the temporal correlation between the fMRI signal from a pre-defined brain region (the so-called "seed point") and other brain voxels is determined. In this technical note, we show how the choice of freely selectable data analysis parameters strongly influences the assessment of the genetic modulation of connectivity features. In our data analysis we exemplarily focus on three methodological parameters: (i) seed voxel selection, (ii) noise reduction algorithms, and (iii) use of additional second level covariates. Our results show that even small variations in the implementation of a functional connectivity analysis can have an impact on the connectivity pattern that is as strong as the potential modulation by genetic allele variants. Some effects of genetic variation can only be found for one specific implementation of the connectivity analysis. A reoccurring difficulty in the field of psychiatric genetics is the non-replication of initially promising findings, partly caused by the small effects of single genes. The replication of imaging genetic results is therefore crucial for the long-term assessment of genetic effects on neural connectivity parameters. For a meaningful comparison of imaging genetics studies however, it is therefore necessary to provide more details on specific methodological parameters (e.g., seed voxel distribution) and to give information how robust effects are across the choice of methodological parameters.     

How to turn industrial biotechnology into reality

The emerging bioeconomy is pulled by consumers asking for sustainable products and processes, governments enforcing climate protection and industries demanding feedstock flexibility and last but not least it is pushed by progress in basic and applied science. It will use renewable carbon sources not only from agri- and silviculture, but potentially also from industrial flue gases - for example, from power generation and steel production. Connecting such industries with the future bio-chemical industry results in a challenging new value chain which connects thus far separated industries. Realising this value chain needs disruptive technologies in providing sustainable carbon sources and transforming them into precursors for biochemical production up to consumer products.     

A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle

The difficulty in delineating brain tumor margins is a major obstacle in the path toward better outcomes for patients with brain tumors. Current imaging methods are often limited by inadequate sensitivity, specificity and spatial resolution. Here we show that a unique triple-modality magnetic resonance imaging-photoacoustic imaging-Raman imaging nanoparticle (termed here MPR nanoparticle) can accurately help delineate the margins of brain tumors in living mice both preoperatively and intraoperatively. The MPRs were detected by all three modalities with at least a picomolar sensitivity both in vitro and in living mice. Intravenous injection of MPRs into glioblastoma-bearing mice led to MPR accumulation and retention by the tumors, with no MPR accumulation in the surrounding healthy tissue, allowing for a noninvasive tumor delineation using all three modalities through the intact skull. Raman imaging allowed for guidance of intraoperative tumor resection, and a histological correlation validated that Raman imaging was accurately delineating the brain tumor margins. This new triple-modality-nanoparticle approach has promise for enabling more accurate brain tumor imaging and resection.     

Dynamic compression counteracts IL-1β induced inducible nitric oxide synthase and cyclo-oxygenase-2 expression in chondrocyte/agarose constructs

Background  

Nitric oxide and prostaglandin E₂ (PGE₂play pivotal roles in both the pathogenesis of osteoarthritis and catabolic processes in articular cartilage. These mediators are influenced by both IL-1β and mechanical loading, and involve alterations in the inducible nitric oxide synthase (iNOS) and cyclo-oxygenase (COX)-2 enzymes. To identify the specific interactions that are activated by both types of stimuli, we examined the effects of dynamic compression on levels of expression of iNOS and COX-2 and involvement of the p38 mitogen-activated protein kinase (MAPK) pathway.     

RI in central retinal artery as assessed by CDI does not correspond to retinal vascular resistance

The aim of the present study was to investigate the association between ultrasound Doppler measurements of resistive index (RI) in the central retinal artery and retinal vascular resistance (R) assessed with laser Doppler velocimetry, vessel size measurement, and calculation of ocular perfusion pressure (PP) in healthy subjects. An increase in vascular resistance was induced by inhalation of 100% O(2). During hyperoxia no significant changes in PP were observed. Mean flow velocity in main retinal veins was reduced by -27.5 +/- 2.0%. The average decrease in diameter was -11.5 +/- 1.0%. R, which was calculated as the ratio of PP to flow rate, increased by 97.6 +/- 7.7%. RI increased as well, but the effect was much smaller (6.6 +/- 2.2%). In addition, a negative correlation was found between baseline values of R and RI (r = -0.83). During hyperoxia R and RI were not associated. In conclusion, our data indicate that RI as assessed with color Doppler imaging in the central retinal artery is not an adequate measure of R.