Genetic structure of gall oak (<Emphasis Type="Italic">Quercus infectoria</Emphasis>) characterized by nuclear and chloroplast SSR markers

Quercus infectoria, commonly known as gall oak, is a small shrub found in Iran. Unfortunately, it is subjected to genetic erosion, and so, its conservation and evaluation are desirable. Thus, in the current research, 16 microsatellite primer pairs (seven nuclear simple sequence repeats (nSSRs) and nine chloroplast simple sequence repeats (cpSSRs)) were used in an attempt to assess the genetic diversity of 121 individuals of Q. infectoria belonging to 11 populations from three provinces in northern Zagros forests of Iran. In total, 69 alleles of nSSR and 18 alleles of cpSSR were detected among the individuals. The results of the overall analysis of molecular variance based on nSSRs indicated that 89.00% of the variation was due to differences within populations and 11.00% occurred among populations, while according to cpSSRs, 94.00% of the variation resided among populations, and only 6.00% could be attributed to variation within populations. A higher genetic differentiation of Q. infectoria populations was found according to cpSSR data in comparison to nSSR data. Cophenetic correlation coefficient values were statistically insignificant between nSSR and cpSSR data. The unweighted pair group method with arithmetic mean and Bayesian cluster analyses grouped the studied individuals into two main clusters based on both nSSR and cpSSR data. nSSR data could not completely clustered individuals next each other according to their geographical collection area. Information detailed by nSSR loci revealed that north-Zagros gall oak preserves average levels of genetic diversity at the species level, high level of within-population genetic diversity, and moderate level of genetic variation among populations. The present results provide valuable data for in situ or ex situ conservation and utilization of the studied germplasm.     

Foraging behaviour and feeding success of the black-necked stork (Ephippiorhynchus asiaticus) in Dudwa National Park, Uttar Pradesh, India

Foraging behaviour of the black-necked stork (BNS) Ephippiorhynchus asiaticus was studied in 1996 and 1997 in Dudwa National Park (DNP), Uttar Pradesh, India. The storks were observed using tactile and visual techniques to catch fish. Of the 929 fish seen caught in 2 years, 894 (96%) were caught by a tactile mode of feeding and the remaining 35 (4%) by a visual mode of feeding. The rate of foraging attempts by BNS fluctuates with that of season in DNP and coincides with prey abundance. Immediately after the monsoon when the water level was high, BNS had to search for prey more often, as the prey became widespread. Whereas in summer when the water level decreased, the concentration of the fish was higher, which helps BNS to catch fish in quick succession. Prey behaviour and the condition of the wetland determined the selection of the tactile foraging technique among the BNS in DNP. The black-necked storks were more successful in the early hours of the day (06:00–10:00) and they were generally more successful or preferred to feed on medium-sized fish (i.e. 5–10 cm) in DNP. Prey profitability was highest for larger size fish and decreased as the prey size decreased. Principal component analysis showed that prey size, handling time of each prey, the month and water depth determined foraging success in 1996 and 1997.     

Monitoring and assessment of water quality in the Haraz River of Iran,using benthic macroinvertebrates indices

The objective of this study was to assess the relationship between river water quality and the distribution of benthic macroinvertebrate communities in the Haraz River in Iran. Using a surber net sampler, benthic macroinvertebrate communities along the stream was sampled in wet and dry seasons of 2015 at nine stations with three replications. The physicochemical water quality parameters were measured in the field by water checker. Hilsenhoff biotic Indices, Shannon Wiener Diversity Indices, Average Score per Taxon (ASPT) Index and Pielou Evenness Index were applied to carry out a biological assessment of water quality. A total of 3781 (spring 769, summer 1092, autumn 1095 and winter 825) benthic macroinvertebrate specimens belonging to 4 orders, 11 classes and 16 families were identified. The lowest number of taxa was recorded in spring while the highest was recorded in autumn. Station 9 had the lowest number of taxa while the highest number of taxa was recorded at station 3. The average values (±SD) of the water quality parameters were temperature 14.75?±?4.38 °C, pH 7.93?±?0.62, water flow 14.11?±?9.04 m³ s^?1, electric conductivity 532.75?±?161.35 μmohs cm^?1, total dissolved solids 296.61?±?76.21 mg L^?1, salinity 0.28?±?0.07 mg L^?1, turbidity 580.77?±?149.92 NTU and dissolved oxygen 8.08?±?0.75 mg L^?1. The assessment of stations 1 to 6 indicated that water quality conditions were suitable. In addition, substantial level of organic pollution was observed in stations 7 and 8. In station 9 water quality was fairly poor, requiring a more favourable management based on the capacity of the self-purification of the Haraz River.     

Design and evaluation of an apta-nano-sensor to detect Acetamiprid in vitro and in silico

Pesticide detection is a main concern of food safety experts. Therefore, it is urgent to design an accurate, rapid, and cheap test. Biosensors that detect pesticide residues could replace current methods, such as HPLC or GC-MC. This research designs a biosensor based on aptamer (Oligonucleotide ss-DNA) in the receptor role, silver nanoparticles (AgNPs) as optical sensors and salt (NaCl) as the aggregative inducer of AgNPs to detect the presence of Acetamiprid. After optimization, .6 μM aptamer and 100 mM salt were employed. The selectivity and sensitivity of the complex were examined by different pesticides and different Acetamiprid concentrations. To simulate in vitro experimental conditions, bioinformatics software was used as in silico analysis. The results showed the detection of Acetamiprid at the .02 ppm (89.8 nM) level in addition to selectivity. Docking outputs introduced two loops as active sites in aptamer and confirmed aptamer–Acetamiprid bonding. Circular dichroism spectroscopy (CD) confirmed upon Acetamiprid binding, aptamer was folded due to stem-loop formation. Stability of the Apt–Acetamiprid complex in a simulated aqueous media was examined by molecular dynamic studies.     

The Role of Resonance Frequency of the Plasmons in Electromagnetic Wave Scattering Process from a Dielectric Covered Metallic Rod Placed in a Plasma Antenna

The electromagnetic wave scattering due to excitation of surface plasmons from a metallic rod with dielectric layer embedded in the long plasma column is investigated. In the first part, for short-wavelength waves by investigating the variations of surface polarized charge density on the boundaries, the resonance frequencies and the effective factors on it such as the geometrical dimensions, the radius of the metal, the dielectric thickness, and the plasma radius will be analyzed. In the second part, for presenting an exact analysis and categorizing types of resonant frequency to the dominant resonant frequency and subsidiary resonant frequency of the plasmons, the scattering of long-wavelength waves from the mentioned object will be reviewed. In both cases, the backscattering cross section which is a scale of the scattered power in the direction of incident will be presented.     

MicroRNA-7 promotes neural differentiation of trabecular meshwork mesenchymal stem cell on nanofibrous scaffold

The purpose of this study was to investigate miR-7 overexpression effects on neural differentiation of mesenchymal stem cells (MSCs) on both two-dimensional (2D) and three-dimensional (3D) culture systems. We upregulated miR-7 through lentiviral vector in trabecular meshwork MSCs (TMMSCs) and polymers of poly l -lactic acid/polycaprolactone fibrous scaffold were fabricated by electrospinning and characterized using scanning electron microscopy (SEM) and Fourier transform infrared (FTIR). Neural markers expression was evaluated through quantitative-polymerase chain reaction (q-PCR) and immunostaining. The results showed that the high percentage of cell transduction (84.9%) and miR-7 expression (folds: 677.93 and 556.4) was detected in TMMSCs-miR-7(+). SEM and FTIR established the fabrication of the hybrid scaffold. q-PCR analysis showed that on days 14 and 21 of transduction, the expression level of Nestin and glial fibrillary acidic protein (GFAP) genes were significantly higher in the scaffold (3D) compared with tissue culture polystyrene (2D) culture. The expression of microtubule-associated protein-2 (MAP-2) and GFAP genes in TMMSCs-miR-7(+) cells were significantly higher than those miR-7(−) cells after 21 days of cell culture. Also, MAP-2 and Nestin proteins were detected in TMMSCs-miR-7(+) cells. Our results demonstrate that miR-7 is involved in neural differentiation of TMMSCs and scaffold can improve differentiate into glial and neural progenitor cells. These findings provided some information for future use of microRNAs and scaffold in tissue engineering and cell therapy for neurological diseases.     

Self-adaptive architecture for virtual machines consolidation based on probabilistic model evaluation of data centers in Cloud computing

By employing the virtual machines (VMs) consolidation technique at a virtualized data center, optimal mapping of VMs to physical machines (PMs) can be performed. The type of optimization approach and the policy of detecting the appropriate time to implement the consolidation process are influential in the performance of the consolidation technique. In a majority of researches, the consolidation approach merely focuses on the management of underloaded or overloaded PMs, while a number of VMs could also be in an underload or overload state. Managing an abnormal state of VM results in the postponement of PM getting into an abnormal state as well and affects the implementation time of the consolidation process. For the aim of optimal VM consolidation in this research, a self-adaptive architecture is presented to detect and manage underloaded and overloaded VMs /PMs in reaction to workload changes in the data center. The goal of consolidation process is employing the minimum number of active VMs and PMs, while guaranteeing the quality of service (QoS). Assessment criteria of QoS are two parameters including average number of requests in the PM buffer and average waiting time in the VM. To evaluate these two parameters, a probabilistic model of the data center is proposed by applying the queuing theory. The assessment results of the probabilistic model form a basis for decision-making in the modules of the proposed architecture. Numerical results obtained from the assessment of the probabilistic model via discrete-event simulator under various parameter settings confirm the efficiency of the proposed architecture in achieving the aims of the consolidation process.     

Purification and characterization of two extracellular peroxidases from Streptomyces sp. strain AM2, a decolorizing actinomycetes responsible for the biodegradation of natural humic acids

Two extracellular humic acids peroxidases called HaP1 and HaP2 were isolated from the Streptomyces sp. strain AM2 and, based on MALDI-TOF MS analysis. The purified enzymes were determined as monomers with molecular masses of 40,351.11 and 25,175.19 Da, respectively. The N-terminal amino acid sequences of HaP1 and HaP2 were identified, and their optimum pH values were determined as 6 and 7.5, respectively. Standard 2,4-dichlorophenol (2,4-DCP) assays showed that both enzymes had maximal activity at 55 °C. HaP2 was stable at 55 °C for more than 24 h and had a half-life of 90 min at 65 °C. Although the catalytic properties of HaP1 and HaP2 were nearly identical, their stabilities and Reinheitzahl (RZ) values were substantially different. Both peroxidases were found to be heme proteins that catalyzed the oxidation of a wide range of substrates in the presence of hydrogen peroxide (H₂O₂), with HaP2 exhibiting a broader range of substrate specificity. The characterization of peroxidase activity revealed activity against humic acids, guiacol, 2,4-DCP, l-3,4-dihydroxyphenylalanine, and 2,4,5-trichlorophenol as well as other chlorophenols in the presence of H₂O₂. However, the inhibition of peroxidase activity by the addition of potassium cyanide and sodium azide also indicated the presence of heme components in the tertiary structure of these enzymes.