Linkage of autosomal recessive lamellar ichthyosis to chromosome 14q.

We have mapped the locus for lamellar ichthyosis (LI), an autosomal recessive skin disease characterized by abnormal cornification of the epidermis. Analysis using both inbred and outbred families manifesting severe LI showed complete linkage to several markers within a 9.3-cM region on chromosome 14q11. Affected individuals in inbred families were also found to have striking homozygosity for markers in this region. Linkage-based genetic counseling and prenatal diagnosis is now available for informative at-risk families. Several transcribed genes have been mapped to the chromosome 14 region containing the LI gene. The transglutaminase 1 gene (TGM1), which encodes one of the enzymes responsible for cross-linking epidermal proteins during formation of the stratum corneum, maps to this interval. The TGM1 locus was completely linked to LI (Z = 9.11), suggesting that TGM1 is a good candidate for further investigation of this disorder. The genes for four serine proteases also map to this region but are expressed only in hematopoietic or mast cells, making them less likely candidates.     

Survival of Bradyrhizobium sp. (Arachis) on fungicide-treated peanut seed in relationship to plant growth and yield

Survival and viability of Bradyrhizobium inoculant on fungicide-treated peanut seed and the resulting effects on nitrogen fixation, plant growth and seed yield were determined. Vitavax and Benomyl had the most and least lethal actions against Bradyrhizobium strains grown on YEM medium containing a fungicide, respectively, while Thiram and Captan effects were intermediate. Survival of Bradyrhizobium USDA 3384 and USDA 3456, as single strain peat inoculants, on peanut (Arachis hypogaea L. var. Florunner) seeds treated with Benomyl or Vitavax at the rate of 3g/kg seed was also examined. Both fungicides inhibited the growth and affected the survival of strain USDA 3384 on peanut seed. Vitavax killed the inoculant in 9 h. In contrast, USDA 3456 resisted both fungicides, and survived for up to 72h. Nodule formation on greenhouse-grown plants inoculated with USDA 3384 was inhibited by all fungicides. Shoot dry weight and plant nitrogen content significantly decreased as compared to controls. Fungicides, except Vitavax, had a slight effect on nodulation and plant growth when USDA 3456 was used as inoculant. The agronomic importance of fungicide-inoculant interaction was examined in field experiments conducted in Egypt in soil free of peanut-nodulating Bradyrhizobium, where seeds were treated with a combination of two fungicides and a single strain peat inoculant of either USDA 3384 or USDA 3456. All fungicides decreased nodulation, nitrogen fixation, plant growth and seed yield, especially with USDA 3384 as inoculant. Fungicides inhibited viability and survival of Bradyrhizobium on peanut seeds which decreased nodule formation leading to reduced peanut seed yield.     

The role of mycorrhizal infection in the tolerance of Vaccinium macrocarpon to iron

Hymenoscyphus ericae survived in liquid media containing up to 500 g/ml iron (Fe), Mycorrhizal seedlings of Vaccinium macrocarpon showed higher yields and lower shoot Fe levels and exhibited less severe toxicity symptoms than nonmycorrhizal seedlings.     

Biometric variations in Solea vulgaris acclimatized in Lake Quarun, Upper Egypt

A population of Solea vulgaris was transplanted in 1938 from the Mediterranean to a land locked brackish lake. In 1977, the morphology of these fishes was investigated and a number of measurements made and compared with those of fish caught in the Mediterranean. Among these variations was less vertebrae and fewer dorsal fin rays in the lake soles.     

Pierce into the Native Structure of Ata,a Trimeric Autotransporter of Acinetobacter baumannii ATCC 17978

International Journal of Peptide Research and Therapeutics - Acinetobacter baumannii is an important pathogen responsible for nosocomial infections worldwide. Trimeric autotransporters, the...     

Genetic relationships of cichlid fishes from Lake Malawi based on mitochondrial DNA sequences

Limnology - The purpose of this study was to estimate the genetic distance, diversity and relationship of two large groups of Malawian cichlid, ‘mbuna’ living in rocky area and feeding...     

A monoclonal antibody targeting a highly conserved epitope in influenza B neuraminidase provides protection against drug resistant strains

All influenza viral neuraminidases (NA) of both type A and B viruses have only one universally conserved sequence located between amino acids 222–230. A monoclonal antibody against this region has been previously reported to provide broad inhibition against all nine subtypes of influenza A NA; yet its inhibitory effect against influenza B viral NA remained unknown. Here, we report that the monoclonal antibody provides a broad inhibition against various strains of influenza B viruses of both Victoria and Yamagata genetic lineage. Moreover, the growth and NA enzymatic activity of two drug resistant influenza B strains (E117D and D197E) are also inhibited by the antibody even though these two mutations are conformationally proximal to the universal epitope. Collectively, these data suggest that this unique, highly-conserved linear sequence in viral NA is exposed sufficiently to allow access by inhibitory antibody during the course of infection; it could represent a potential target for antiviral agents and vaccine-induced immune responses against diverse strains of type B influenza virus.     

Robust algorithm for brain magnetic resonance image (MRI) classification based on GARCH variances series

In this paper, a robust algorithm for disease type determination in brain magnetic resonance image (MRI) is presented. The proposed method classifies MRI into normal or one of the seven different diseases. At first two-level two-dimensional discrete wavelet transform (2D DWT) of input image is calculated. Our analysis show that the wavelet coefficients of detail sub-bands can be modeled by generalized autoregressive conditional heteroscedasticity (GARCH) statistical model. The parameters of GARCH model are considered as the primary feature vector. After feature vector normalization, principal component analysis (PCA) and linear discriminant analysis (LDA) are used to extract the proper features and remove the redundancy from the primary feature vector. Finally, the extracted features are applied to the K-nearest neighbor (KNN) and support vector machine (SVM) classifiers separately to determine the normal image or disease type. Experimental results indicate that the proposed algorithm achieves high classification rate and outperforms recently introduced methods while it needs less number of features for classification.     

A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images

Modern fluorescence microscopy modalities, such as light-sheet microscopy, are capable of acquiring large three-dimensional images at high data rate. This creates a bottleneck in computational processing and analysis of the acquired images, as the rate of acquisition outpaces the speed of processing. Moreover, images can be so large that they do not fit the main memory of a single computer. We address both issues by developing a distributed parallel algorithm for segmentation of large fluorescence microscopy images. The method is based on the versatile Discrete Region Competition algorithm, which has previously proven useful in microscopy image segmentation. The present distributed implementation decomposes the input image into smaller sub-images that are distributed across multiple computers. Using network communication, the computers orchestrate the collectively solving of the global segmentation problem. This not only enables segmentation of large images (we test images of up to 10¹⁰ pixels), but also accelerates segmentation to match the time scale of image acquisition. Such acquisition-rate image segmentation is a prerequisite for the smart microscopes of the future and enables online data compression and interactive experiments.     

Bioaccumulation of heavy metals in Channa punctatus (Bloch) in river Ramganga (U.P.), India

Ganga is the largest riverine system of India with a fragile ecosystem. Its prone to anthropogenic disturbances because of its cultural, economic and environmental values. The contamination of river Ganga by heavy metals (HM) is due to biotic (anthropogenic sources) and abiotic (pesticides, fertilizers) sources that poses a devastating health hazard to human, plant and edible fish life. The chemical analysis with the help of atomic absorption spectrometer performed on its water samples demonstrated the accumulation of heavy metals such as Arsenic (As), Lead (Pb), Cadmium (Cd), Iron (Fe), Zinc (Zn). Moreover, the spectrophotometric analysis indicated clearly the accumulation of heavy metals in order of occurrence (Fe > As > Cd > Zn > Pb) in liver and (Zn > Fe > As > Cd > Pb) in kidney of edible fish Channa punctatus. The present study has be used to sensitively monitor the extent of heavy metals pollution in the biotic aqua life of river Ramganga system and its suggested that the bioaccumulation of heavy metal in Channa punctatus has reached above permissible limits for human consumption, indicating potential health risks. Necessary biological steps should be taken to handle such food pollution and prevent the environmental risk and food chain disruption.