Photosynthetic and biochemical characterization of pigments and UV-absorbing compounds in <Emphasis Type="Italic">Phormidium tenue</Emphasis> due to UV-B radiation

We report the effect of UV-B radiation (0.8 ± 0.1 mW cm⁻²) and UV-B radiation supplemented with low-intensity PAR (∼80 μmol photons m⁻² s⁻¹) on the photosynthesis, photosynthetic pigments, phosphoglycolipids, oxidative damage, enzymatic antioxidants, and UV-absorbing compounds in Phormidium tenue, a marine cyanobacterium. UV-B radiation resulted in a decline in photosynthesis and photosynthetic pigments leading to lower biomass. P. tenue synthesized UV-absorbing compounds like mycosporine-like amino acids (MAAs) and scytonemin in response to UV-B radiation. Quantity of MAAs and scytonemin was higher when UV-B was supplemented with low-level PAR. UV-B treatment also resulted in quantitative changes in phosphoglycolipids of the membrane. The UV-B treatment resulted in a slight increase in the level of peroxidation of cell membrane and very little increase in the activity of superoxide dismutase (SOD). Results indicate that UV-B affected photosynthesis and that the main protective system was the synthesis of MAAs and scytonemin-like compounds rather than antioxidant enzymes such as SOD.     

High frequencies of de novo CNVs in bipolar disorder and schizophrenia

While it is known that rare copy-number variants (CNVs) contribute to risk for some neuropsychiatric disorders, the role of CNVs in bipolar disorder is unclear. Here, we reasoned that a contribution of CNVs to mood disorders might be most evident for de novo mutations. We performed a genome-wide analysis of de novo CNVs in a cohort of 788 trios. Diagnoses of offspring included bipolar disorder (n?= 185), schizophrenia (n?= 177), and healthy controls (n?= 426). Frequencies of de novo CNVs were significantly higher in bipolar disorder as compared with controls (OR?= 4.8 [1.4,16.0], p?= 0.009). De novo CNVs were particularly enriched among cases with an age at onset younger than 18 (OR?= 6.3 [1.7,22.6], p?= 0.006). We also confirmed a significant enrichment of de novo CNVs in schizophrenia (OR?= 5.0 [1.5,16.8], p?= 0.007). Our results suggest that rare spontaneous mutations are an important contributor to risk for bipolar disorder and other major neuropsychiatric diseases.     

Evaluation of FKBP and DHFR based destabilizing domains in Saccharomyces cerevisiae

Two orthogonal destabilizing domains have been developed based on mutants of human FKBP12 as well as bacterial DHFR and these engineered domains have been used to control protein concentration in a variety of contexts in vitro and in vivo. FKBP12 based destabilizing domains cannot be rescued in the yeast Saccharomyces cerevisiae; ecDHFR based destabilizing domains are not degraded as efficiently in S. cerevisiae as in mammalian cells or Plasmodium, but provide a starting point for the development of domains with increased signal-to-noise in S. cerevisiae.     

Monitoring tiger populations using intensive search in a capture–recapture framework

Tigers (Panthera tigris) today face multiple threats to their survival in the form of habitat loss, poaching, depletion of wild prey through illegal hunting and loss of connectivity between populations. Monitoring of tigers is crucial to evaluate their status and react adaptively to management problems. Though camera traps are becoming increasingly popular with researchers enumerating cryptic and elusive animals, they have not been embedded in the regular management activities of tiger reserves. Tiger monitoring, though an important part of the management, is usually implemented using the unreliable pugmark approach. Camera trap-based studies are few, usually of short duration, and are generally conducted by individual scientists and organizations. In this study, we integrate photographic mark–recapture with the routine activity of searching and locating tigers for tourist viewing by the park management in meadows of Kanha Tiger Reserve which form a part of the tourism zone. We validate the density estimates from “tiger search approach” against those obtained from camera trapping and radio-telemetry conducted in conjunction in the same area. Tiger density (\( \hat{D} \) (SE [\( \hat{D} \)]) per 100 km² for camera traps and tiger search, respectively, was estimated at 12.0 (1.95) and 12.0 (1.76) when effective trapping area was estimated using the half mean maximum distance moved (½ MMDM), 7.6 (1.94) and 7.5 (1.97) using the home range radius, 7.3 (1.49) and 7.5 (1.97) with the full MMDM, and 8.0 (3.0) and 6.88 (2.39) with the spatial likelihood method in Program DENSITY 4.1. Camera trapping, however, was five times more expensive than the tiger search method. Our study suggests that “tiger search approach” can be used as a regular monitoring tool in the tourism zones of tiger reserves, where often most of the source populations are located.     

Leveraging structure determination with fragment screening for infectious disease drug targets: MECP synthase from Burkholderia pseudomallei

As part of the Seattle Structural Genomics Center for Infectious Disease, we seek to enhance structural genomics with ligand-bound structure data which can serve as a blueprint for structure-based drug design. We have adapted fragment-based screening methods to our structural genomics pipeline to generate multiple ligand-bound structures of high priority drug targets from pathogenic organisms. In this study, we report fragment screening methods and structure determination results for 2C-methyl-D-erythritol-2,4-cyclo-diphosphate (MECP) synthase from Burkholderia pseudomallei, the gram-negative bacterium which causes melioidosis. Screening by nuclear magnetic resonance spectroscopy as well as crystal soaking followed by X-ray diffraction led to the identification of several small molecules which bind this enzyme in a critical metabolic pathway. A series of complex structures obtained with screening hits reveal distinct binding pockets and a range of small molecules which form complexes with the target. Additional soaks with these compounds further demonstrate a subset of fragments to only bind the protein when present in specific combinations. This ensemble of fragment-bound complexes illuminates several characteristics of MECP synthase, including a previously unknown binding surface external to the catalytic active site. These ligand-bound structures now serve to guide medicinal chemists and structural biologists in rational design of novel inhibitors for this enzyme.     

Determining the limits and confounders for the 2-pentyl furan breath test by gas chromatography/mass spectrometry

Aspergillus fumigatus produces 2-pentyl furan (2-PF), a volatile compound not produced by many other pathogens or normal human metabolism. 2-Pentyl furan has been detected in the breath of patients with invasive aspergillosis (IA) by SPME pre-concentration coupled with CG/MS providing the possibility of an attractive diagnostic test. The limit of detection (LOD) and quantification (LOQ) for peak integration were assessed both statistically and empirically respectively. 2-Pentyl furan was detected from 10 of 45 food stuffs tested. Levels were highest from soymilk (3 of 3 brands), lower from pumpkin, peanuts, rolled oats 2, Ensure Plus, tinned asparagus, tinned beans and a vegetable exact (Marmite). No 2-PF was detectable in anti-fungal medications used to treat IA or commonly used cosmetics tested. There was no difference in 2-PF breath levels between morning and afternoon or fasting and non fasting samples taken from healthy subjects eating a diet without 2-PF rich foods. 2-Pentyl furan levels were present in breath samples immediately after a mouth rinse with soy milk (P<0.001), and in some subjects after ingesting soy milk and rinsing their mouth with water. The breath test for 2-PF can be conducted without an overnight fast or at a specified time provided the mouth has been rinsed 30 min or more from when 2-PF containing products have been ingested.     

Statistical assessment of DNA extraction methodology for culture-independent analysis of microbial community associated with diverse environmental samples

Cost-effectiveness, quality, time-effectiveness and ease of the methodology are the most crucial factors in isolating quality DNA from wide variety of samples. Thus, research efforts focusing on the development of an efficient DNA extraction protocol is the need of the hour. The present study therefore, focuses on development of an efficient, rapid and free of inhibitory substances based methodology for extracting metagenomic DNA from diverse environmental samples viz. anaerobic biogas digesta, ruminant stomach, human feces, soil, and microbial starter cultures used for preparation of fermented food. PCR–DGGE based analysis and quality metagenomic library preparation, using DNA extraction methodology, validates the developed protocol. The developed protocol is cost effective, capable of isolating DNA from small sample size (100–1000 µl), time efficient (1.5–2.0 h protocol) and results in significantly higher DNA yield (4–8 times increased yield) when compared to previously available DNA extraction method and a commercial DNA extraction kit. The DNA extracted from the samples using different protocols was evaluated based on its ability to identify diverse microbial species using PCR–DGGE profiles targeting variable region within the 16S rRNA gene. The results of microbial community analysis revealed comparability of the developed protocol to commercial kits, in effectively identifying dominant representatives of the microbial community in different samples. Using the DNA extracted from the presented methodology, metagenomic libraries were prepared, which were found suitable for sequencing on Illumina platform.     

Endocellulase Production by <Emphasis Type="Italic">Cotylidia pannosa</Emphasis> and its Application in Saccharification of Wheat Bran to Bioethanol

For efficient bioconversion of lignocellulosic materials to bioethanol, the study screened 19 white-rot fungal strains for their endocellulolytic activity and saccharification potential. Preliminary qualitative and quantitative screening revealed Cotylidia pannosa to be the most efficient endocellulase producing fungal strain when compared to the standard strain of Trichoderma reesei MTCC 164. Ensuing initial screening, the production of endocellulase was further optimized using submerged fermentation to recognize process parameters such as temperature, time, agitation pH, and supplementation of salts in media required for achieving maximum production of endocellulase. The strain C. pannosa produced the maximum amount of endocellulase (8.48 U/mL) under submerged fermentation with wheat bran (2%) supplemented yeast extract peptone dextrose (YEPD) medium after an incubation time of 56 h at 30 °C and pH 5.0 at an agitation rate of 120 rpm with a saccharification value of 50.5%. The fermentation of wheat bran hydrolysate with Saccharomyces cerevisiae MTCC 174 produced 4.12 g/L of bioethanol after 56 h of incubation at 30 °C. The results obtained from the present investigation establish the potential of white-rot fungus C. pannosa for hydrolysis and saccharification of wheat bran to yield fermentable sugars for their subsequent conversion to bioethanol, suggesting its application in efficient bioprocessing of lignocellulosic wastes.     

Context matters

Midbrain dopamine neurons are thought to encode the difference between predicted and actual reward on conditioning tasks. Successful models assumed a simple form of prediction that depended only on currently available information. In this issue of Neuron, Nakahara and colleagues record from dopamine neurons in alert monkeys and show that the neurons can encode predictions that are not so restricted, taking into account the context of past trends.