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Nostoc flagelliforme, which is distributed on arid and semi-arid steppes of northwestern parts of China, has attracted increasing interest for its stress tolerance. In order to gain more insight into the genetic background of N. flagelliforme, we sequenced its partial genomic DNA for similarity analyses against current public databases, followed by phylogenetic comparison of N. flagelliforme and the potentially related species deduced from the similarity analyses. Approximately 430 kb genomic sequence (~ 5% of genome as a rough estimate) was determined from 106 distinct genomic clones. Nucleotide BLAST showed that ~ 23.1% of the partial genomic sequence was similar to N. punctiforme genomic DNA and ~ 12.4% to its plasmid DNA. Similar protein search by online FASTA-protein program showed 46.2% of the similar proteins had their corresponding orthologs in N. punctiforme genome. Furthermore, phylogenetic comparison based on 16S rRNA sequences showed N. flagelliforme and N. punctiforme clustered closer among the deduced related species. These results indicated that N. punctiforme might also be potentially close neighbor species of N. flagelliforme, in addition to the formerly regarded close neighbor species N. commune and N. sphaeroids. In general, these data enriched our recognition of the evolutionary relationship between N. flagelliforme and other Nostoc species, especially N. punctiforme.
Monoaromatic pollutants such as benzene, toluene, ethylbenzene and mixture of xylenes are now considered as widespread contaminants of groundwater. In situ bioremediation under natural attenuation or enhanced remediation has been successfully used for removal of organic pollutants, including monoaromatic compounds, from groundwater. Results published indicate that in some sites, intrinsic bioremediation can reduce the monoaromatic compounds content of contaminated water to reach standard levels of potable water. However, engineering bioremediation is faster and more efficient. Also, studies have shown that enhanced anaerobic bioremediation can be applied for many BTEX contaminated groundwaters, as it is simple, applicable and economical.This paper reviews microbiology and metabolism of monoaromatic biodegradation and in situ bioremediation for BTEX removal from groundwater under aerobic and anaerobic conditions. It also discusses the factors affecting and limiting bioremediation processes and interactions between monoaromatic pollutants and other compounds during the remediation processes.
The paper reports the design and tests of the planar autopilot navigation system in the three-degree-of-freedom (3-DOF) plane (surge, sway and yaw) for a ship. The aim of the tests was to check the improved maneuverability of the ship in open waters using the improved nonlinear control algorithm, developed based on the sliding mode control theory for the ship-trajectory tracking problem of under-actuated ships with static constraints, actuator saturation, and parametric uncertainties. With the integration of the simple increment feedback control law, the dynamic control strategy was developed to fulfill the under-actuated tracking and stabilization objectives. In addition, the LOS (line of sight) guidance system was applied to control the motion path, whereas the sliding mode controller was used to emulate the rudder angle and propeller rotational speed control. Firstly, simulation tests were performed to verify the validity of the basic model and the tracking control algorithm. Subsequently, full scale maneuverability tests were done with a novel container ship, equipped with trajectory tracking control and sliding mode controller algorithm, to check the dynamic stability performance of the ship. The results of the theoretical and numerical simulation on a training ship verify the invariability and excellent robustness of the proposed controller, which: effectively eliminates system chattering, solves the problem of lateral drift of the ship, and maintains the following of the trajectory while simultaneously achieving global stability and robustness
In contrast to the rapid development of the horse husbandry in China, the ability of horse veterinarians to diagnose diseases has not been improved and only a few domain experts have considerable expertise. At present, many expert systems have been developed for diseases diagnosis, but few for horse diseases diagnosis have been studied in depth. This paper presents the design and development of a computer-aided expert system for diagnosing horse diseases. We suggest an approach for diagnosis of horse diseases based on the analysis of diagnostic characteristics and the experiential knowledge of domain experts. It is based on using evidence-weighted uncertainty reasoning theory, which is a combination of evidence theory and an uncertainty pass algorithm of confidence factors. It enables drawing of inferences with atypical clinical signs and the uncertainty of the user’s subjective understanding. It reduces the influence of subjective factors on diagnostic accuracy. The system utilizes a user friendly interface for users and requests a confidence factor from users when feedback is given to the system. Horse-Expert combines the confidence factors with weight factors assigned to clinical signs by experts during the knowledge acquisition process to make diagnostic conclusions. The system can diagnose 91 common horse diseases, and provides suggestions for appropriate treatment options. In addition, users can check the medical record through statistical charts. The system has been tested in seven demonstration areas of Xinjiang province in northwestern China. By constantly maintaining and updating the knowledge base, the system has potential application in veterinary practice.
The aim of this research is to assess the water quality of the Liangtang River. Water samples were collected from seven sampling stations and four heavy metals (copper, lead, zinc, and chromium) were determined by spectroscopic technique. Physical and chemical parameters, including pH, DO, NH+4, TN, TP, and COD also were determined from seven water sampling stations sited along the river. It has been found that chemical oxygen demand (CODcr), ammonia nitrogen (NH+4-N), total nitrogen (TN), and total phosphorus (TP) in upstream sites were lower than those of the downstream sites, indicating pollutants being discharged along its course. Analyses also have shown that CODcr, NH+4-N, TN, and TP have a very significant positive correlation between each other, while NH+4-N, TN, and TP have a negative correlation with DO. The major sources of pollution in Liangtan River are urban wastewaters, wastewaters from industries, and other anthropogenic activities along the river. We proposed the strategies that can be applied for pollution reduction.
The occurrence of 22 antibiotics, including eight quinolones, nine sulfonamides and five macrolides in water and sediment from Zizhuyuan Lake has been investigated in Beijing, China. Sediment samples were extracted by pressurized liquid extraction (PLE). Aqueous extracts from PLE and water samples were concentrated by solid-phase extraction (SPE) and detected by high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-ESI MS/MS). Antibiotics were detected in concentrations of up to 20 ng/L in water samples and 52.1 μg/kg in sediments. Quinolones were the most prevalent contaminants in water body, accounting for 63.4%, while quinolones and macrolides were prominent in sediments, accounting for 55.1% and 41.7%, respectively. The environmental risk assessment revealed that some antibiotics, in particular Ofloxacin (OFL) and Sulfamethoxazole (SMX), could cause high damage to algae and plants in the aquatic ecosystem.
This research was undertaken in order to determine and analyze various heavy metals present in sediments taken from Lake Donghu. Six heavy metals: arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), and zinc (Zn) were determined by inductively coupled plasma-atomic emission spectroscopy (ICPAES). Relative enrichment factors and potential ecological risk indexes were used to study the pollution status of heavy metals in sediments and assess their potential ecological risk to the environment. Sediment enrichment factors of heavy metals were found in the following order Cr > As > Cd > Zn > Cu > Pb. Potential ecological risk indices for heavy metals were: Cd > As > Cr > Cu > Pb > Zn. The calculated potential ecological risk indices showed that the lake was polluted by heavy metals. Cd had moderate potential ecological risk to the ecological environment and was the main contributor to potential toxicity response indices for various heavy metals in Lake Donghu. Analysis of variance (ANOVA) was used to establish the significance of variations in heavy metals. The mean seasonal concentrations of metals showed that there were significant differences among seasons and sampling sites (P<0.05). The cause of pollution in Lake Donghu could be associated with industrial and human activities. We proposed strategies that can be applied in order to prevent accumulation of heavy metals in the lake.
Selenocysteine methyltransferase (SMT), specifically methylates selenocysteine (SeCys) to produce the nonprotein amino acid Se-methyl selenocysteine (SeMSC) and played key role of removing selenium toxic effect at higher levels to the plant. Here we report the cloning of a cDNA encoding selenocysteine methyltransferase from Camellia sinensis (CsSMT) and expression of CsSMT in E.coli. CsSMT isolated by RT-PCR and RACE-PCR reaction. CsSMT is a 1,401 bp cDNA with an open reading frame predicted to encode a 351 amino acid, 40.5 kD protein; The predicted amino acid sequences of CsSMT shows 74% identity with A. bisulcatus selenocysteine methyltransferase (AbSMT) and 69% identity with Broccoli (Brassica oleracea var. italica) selenocysteine methyltransferase (BoSMT), and shares 53, 73 and 65% identity, respectively, with Arabidopsis thaliana homocysteine S-methyltransferase AtHMT1, AtHMT2, and AtHMT3, and 65% to Zea mays homocysteine S-methyltransferase (ZmHMT2). Analyses of CsSMT showed that it lacks obvious chloroplast or mitochondrial targeting sequences and contains a consensus sequence of GGCC for a possible zinc-binding motif near the C-terminal and a conserved Cys residue upstream of the zinc-binding motif as other related methyltransferases. Expression of CsSMT correlated with the presence of SMT enzyme activity in cell extracts, and bacteria containing recombinant CsSMT plasmid showed much high tolerance to selenate and selenite.
Thyroid hormones play an important role in regulating the metabolism and can affect the homeostasis of fat deposition. The gene encoding thyroglobulin (TG), producing the precursor for thyroid hormones, has been proposed as a positional and functional candidate gene for a QTL with an effect on fat deposition. In the present study, we identified 6 novel SNPs at the 3' flanking region of the TG gene. The SNP marker association analysis indicated that the SNP markers G133C, G156A, C220T and A506C were significantly associated with marbling score (P<0.05, N=271). Animals with the new homozygote genotype had higher marbling scores than those with the other genotypes. Besides, the linkage disequilibrium analysis indicated that these 4 SNPs were completely linked (r² -1). Results of this study suggest that the TG-gene-specific SNP may be a useful marker for meat quality traits in future marker-assisted selection programmes in beef cattle.
Physiological and ecological adaptations of altitudinal gradients reveal alpine plants’ ecological and evolutionary responses to environmental changes. Here we quantitatively investigated the variation in the foliar physiological and morphological traits of alpine tree species (Abies fargesii) along the altitudinal gradient in the Taibai Mountains, China. We collected the needle samples of Taibai fir (A. fargesii) from seven sites at altitudes of 2550, 2650, 2750, 2850, 2950, 3050 and 3150 m, respectively, and measured the 12 foliar physiological and morphological traits. Each set of needle sample (100 needles) was randomly selected from the upper- third of A. fargesii canopies. The results showed that leaf mass per unit area (LMA), stable carbon isotope composition (δ13C), stomatal rows (SR), leaf carbon concentration per unit area (Carea), leaf nitrogen concentration per unit leaf mass (Nmass) and area (Narea) linearly increase significantly while stomatal density (SD), number of stomata per unit nitrogen concentration (St/N) and per unit leaf mass (St/LM) decrease with the altitudes raise. Moreover, all measured traits presented both strong correlations and significantly linear relationships with the main climate factors such as the mean temperature, rainfall and relative humidity during the growing season as well as the altitudes, except for leaf free water concentration (LWC), leaf carbon concentration per unit leaf mass (Cmass) and C: N ratio. The patterns of foliar traits in response to altitudes imply that the alpine plants need higher cost (e.g. higher nutrient concentration) to adapt to the harsher environments along altitudinal gradient. Moreover, our results show that the variation patterns of the leaf traits for A. fargesii plants should be driven by the interactions of multi-climate factors because the abiotic factors that directly influence the growth of plants covary with the increasing altitudes.
Understanding the role of Jerusalem artichoke grown in low fertility coastal saline soil in carbon sequestration is important for characterizing the relationship between soil use in agriculture production and carbon sequestration. In the present study, the mechanisms of photosynthesis and carbon distribution were studied in three saline soils with different salt contents (Xinyang 0.6–1.0 g salt/kg; Dafeng 1.5–2.4 g salt/kg; Shuntai 3.8–4.5 g salt/kg) by characterizing the biomass production, carbon storage, and carbon sequestration in the soil under Jerusalem artichoke. The biomass production and carbon storage during the growth cycle of Jerusalem artichoke were significantly higher in Dafeng than the other plots. The highest carbon sequestration was found in the Xinyang plot. The organic matter content in the rhizosphere soil was 28–44% higher than that in the non-rhizosphere soil. The soil organic carbon content in the rhizosphere soil was higher than that in the non-rhizosphere soil. High soil salinities decreased the carbon storage of Jerusalem artichoke. Carbon sequestration in soil decreased with the increase in soil salinity.
The aim of this study was to detect polymorphism in the bovine bone morphogenetic protein 15 (BMP15) gene. On the basis of PCR-SSCP and DNA sequencing, a 4-bp deletion was identified in the coding region of the gene. Sequence analysis revealed that the deletion altered the reading frame and introduced a stop codon at position 264. Eight breeds (Luxi, Qinchuan, Nanyang, Jinnan, Bohai Black, Menggolian, Holstein, and Simmental) were genotyped by PCR-SSCP. No cows homozygous for this mutation were observed in these breeds. Heterozygous cows were detected in Luxi, Qinchuan, Nanyang, Jinnan and Bohai Black cattle. Fecundity was not increased in heterozygous individuals.
Applying the appropriate allometric equation to accurately estimate biomass is vital for the regional carbon budget. Previous studies have focused on plant biomass at a given time, and few have been conducted on biomass estimates throughout the entire lifespan of a plant. Here we used field data measured from Moso bamboo stands to validate three common allometric equations used for biomass estimates and compared their goodness of fit using Akaike’s information criterion to develop the best allometric model for Moso bamboo. Then the non-stage and staged biomass were respectively estimated using the best-fitted model, and their corresponding coefficients (or scalings) were compared to examine whether the allometric equation developed for non-stage biomass estimates were suitable for staged biomass estimates. As a result, w = aDbHc was fitted well for both total and component biomass estimates of Moso bamboo. Comparisons in allometric coefficients showed that most coefficients for staged biomass estimates exceeded the confidence interval of non-stage allometric coefficients, indicating that the staged coefficients varied as the bamboo developed. This result suggested that using a uniform allometric equation (with the same coefficients) without consideration of the variations with stage might be inadequate to accurately estimate the biomass of Moso bamboo forests throughout the entire lifespan. It can be suggested that differential allometric coefficients by stage should be applied to estimate the biomass of Moso bamboo so as to improve the accuracy of biomass estimates. These findings provide insights into the use of allometry theory for biomass estimates.
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