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The seasonal changes of pigments and stable carbon isotope composition (δ¹³C values) were investigated in needles of Qilian juniper (Sabina przewalskii Kom.) from two typical sites, one drier and the other wetter, in the Qilian Mountains, China. The anthocyanins and rhodoxanthin content from both sites were much higher in winter than in summer. Plant needles contained more carotenoids and xanthophylls in winter at the wetter site, while no seasonal difference appeared at the drier site. However, lower chlorophyll content and higher proline and δ¹³C were observed at the drier site. Average tree height was shorter at the drier site trees than at the wetter site. Our results suggested that under natural conditions, pigmentation in S. przewalskii may serve to improve the energy balance of the photosynthetic apparatus under cold and drought stresses. Proline and δ¹³C could be used as drought indicators for S. przewalskii.
Polyaspartic acid/chitosan complex (PASP/CS) was synthesized by the reaction of Polyaspartic acid, chitosan, and glutaraldehyde. The graft copolymer (PASP/CS) was characterized by FT-IR. The inhibition corrosion efficiency of the complex was estimated as 83.5%, PASP and only 58.8% when inhibitor concentration was 8 mg/L. PASP/CS is an anodic corrosion inhibitor in Sodium Chloride Solution. The competitive adsorption of chloride ions and PASP/CS in water can form a layer of dense molecular film on the carbon steel surface composite with a non-location effect. PASP/CS combination can effectively inhibit the corrosion in the carbon steel system. The steel surface morphology was analyzed using scanning electron microscopy (SEM) and an adsorption mechanism model is proposed. The high inhibition efficiency of PASP/CS is related to the adsorption of polymer molecules on the steel surface and the formation of a protective film that can successfully inhibit the erosion of corrosive media and prevent the corrosion of carbon steel in the process.
Evergreen plants need to store reserves to allow for their survival during the winter months and for new leaf growth in the following spring. In many of the tree species, these reserve functions are mainly carried out by starch, which is degraded to soluble carbohydrates during the dormant season to maintain active respiration and provide protection against freezing. In the present study, two evergreen woody plants, S. przewalskii Kom. (SP) and S. chinensis (Lin.) Ant.(SC), were used to investigate the patterns of seasonal variation in the concentrations of soluble sugars, sucrose, fructose and starch, and the activities of sucrose-phosphate synthase (SPS), sucrose synthase (SUSY), neutral invertase (NI) and soluble acid invertase (SAI). Foliar soluble sugar, sucrose, fructose, and starch concentrations were markedly higher in SC than in SP; moreover, the activities of SPS, SUSY, NI and SAI were also higher in SC than in SP. There were generally higher concentrations of soluble sugars, sucrose and fructose and SPS activities in the winter than in the summer for both Sabina trees, which was consistent with the necessity for protection against freezing; however, opposite results were found with regards to starch concentrations and the activities of SUSY, NI and SAI. In contrast with the activities of SUSY, NI and SAI, the negative correlation observed between SPS and air temperature was likely a reflection of its crucial role in the acquisition of freezing tolerance by sucrose metabolism in the winter. These results suggest that higher carbon reserves do not give S. chinensis (Lin.) Ant. a competitive advantage in tolerating cold temperatures and that only SPS, but not SUSY, NI and SAI, may play a positive role in freezing tolerance by increasing soluble sugar.
The NOD-like receptor (NLR) family caspase recruitment domain-containing 5 (NLRC5) is one of the newly discovered and largest NLR family members. The NLRC5 has recently received extensive attention because of its important role in regulating innate and adaptive immune responses. The NLRC5 in many vertebrates, such as humans, mice, cattle, and horses, has already been proven and studied. However, the NLRC5 gene characteristics of pigs remain unclear. Thus, we completely cloned the NLRC5 cDNA sequence of the pig using the rapid amplification of cDNA ends(RACE) technology. A characteristic and tissue expression analysis was also conducted on the pig sequence. The sequence analysis showed that the complete cDNA sequence of the NLRC5 of the pig is 6638 bp, and the open reading frame is 5538 bp which encoded 1846 amino acids. The protein prediction analysis indicates that the overall performance of the NLRC5 protein of the pig is hydrophilic and possesses a typical nucleotide binding and oligomerization domain(NBD) and 20 leucine-rich repeats(LRRs). The homology analysis result indicates that the NLRC5 transcript in pigs is highly homologous to cattle, sheep, macaques, and humans, and accounts for around 80%. The genetic evolutionary tree analysis shows that the NLRC5 transcript in pigs has the closest evolutionary relationship with cattle and sheep. Further tissue expression analysis shows that immune organ systems (e.g., lymph node and spleen) and mucosa organs (e.g., intestinal lymph node, stomach, and lungs) possess high expressions with NLRC5 mRNA. The result of this study indicates that the NLRC5 transcript in pigs is relatively conservative among mammals and may play a vital role in immune reaction, which provides a basis for further studies on the NLRC5 function in the pig immune system and the role in comparative immunity.
Hydrological time series refers to the observation time point and the observed time value. The simulation and prediction of hydrological time series will greatly improve the predictability of hydrological time series, which is of great significance for hydrological forecasting. TensorFlow, the second generation of artificial intelligence learning system in Google, has been favored by a large number of researchers by virtue of its high flexibility, portability, multi-language support, and performance optimization. However, the application of deep learning in hydrology is less. Based on the TensorFlow framework, the AR model and the LSTM model are constructed in Python language. The hydrological time series is used as the input object, and the model is deeply studied and trained to simulate and predict the hydrological time series. The effect of the model was tested by fitting degrees and other indexes. The fitting degree of the AR model is 0.9551, and the fitting degree of the LSTM model is 0.8012, which shows the feasibility of the model for predicting the hydrological time series, and puts forward the solution for the limitation of the existing analysis results.
For centuries in Asia, Rhodiola coccinea has been used as a valuable adaptogen medicinal plant known for its remarkable resistance to various stress factors. Physiological tolerance in chloroplasts is believed to be an important factor, which affects the geographic distribution of plant species. However, there is currently no report on how the physiological tolerance in the chloroplasts of R. coccinea varies along an altitudinal gradient in a semiarid mountain region. In this work, we investigated the physiological variations of the chloroplasts of R. coccinea plants along an altitudinal gradient in the Tianshan Mountains, which are located in northwest China. It was found that the physiological parameters of chloroplasts in R. coccinea plants, including superoxide generation, fatty acid compositions, thylakoid membrane fluidity, chlorophyll a/b ratios and photosynthetic electron transport rates (ETRs), varied nonlinearly with altitude. Indeed, an inflection point was observed at approximately 3,800 m. For altitudes were higher or lower than 3,800 m, the ETR, index of unsaturated fatty acids in the thylakoid membrane and Chl a/b ratios decreased with increasing altitude, whereas the superoxide generation and DPH polarisation of thylakoid membranes increased. In addition, variations in the AsA and GSH contents of chloroplasts could be divided into two distinct phases along the altitudinal gradient. The AsA content slowly decreased with increasing altitudes up to 3,800 m and rapidly decreased above 3,800 m. However, there was a gradual increase in the GSH content between 3,570 and 3,750 m, followed by an abrupt rise to a plateau level. These results demonstrate that the physiological tolerance of chloroplasts widely varies with altitude and have a tight relationship with the range of growth altitude of R. coccinea in Tianshan Mountains.
Non-structural carbohydrates in plant organs can mirror the plant overall carbon supply status and balance and can also provide evidence for their health evaluation in the ecosystem. Non-structural carbohydrates in Kobresia pygmaea, one dominant herbaceous species on the Qinghai-Tibetan Plateau, were measured to investigate altitudinal variation in non-structural carbohydrate accumulations, as well as engineering disturbance on the stability of the alpine grassland ecosystem. An increasing trend with elevation in total soluble sugars, fructose, and sucrose was detected in the K. pygmaea growing in both undisturbed and disturbed sites. However, there were higher amounts and a more distinctly altitudinal trend of non-structural carbohydrates with a minor fluctuation in undisturbed sites compared to disturbed sites. In addition, the altitudinal trend of sucrose is similar to that in sucrose phosphate synthase and sucrose synthase activities, while it is opposite to that in neutral invertase and soluble acid invertase activities, suggesting that the sucrose accumulation was primarily related to its synthesis. These results revealed that human disturbance resulted in a reduced carbon supply and altered the balance of carbohydrate utilization in plants on the Qinghai-Tibetan Plateau.
We combined dendrochronological methods and interannual d13C measurements to investigate radial growth and physiological responses of Schrenk spruce (Picea schrenkiana) in response to rising atmospheric CO2 concentration (Ca) and changing climate in high-elevation forests in China’s western Tianshan Mountains. The mean maximum temperature in May to August, reconstructed from d13C, revealed an overall warming trend, with persistent warm periods from 1910 to 1920, and from 1970 to 1980. Intrinsic water use efficiency (iWUE) increased by 28 % over the last 160 years; temporal trends in iWUE were calculated under three theoretical scenarios as a baseline for interpreting the observed gas-exchange at increasing Ca. Basal area increment (BAI) increased by 51.4 % since 1850 with two apparent increases and decreases. Trees exhibited sharp declines in BAI along with enhanced iWUE during the warmer periods; this was possibly due to a reduced stomatal conductance which prevented excessive water loss from trees. Conversely, BAI increased at reduced iWUE (-3.6 %, -7.4 %) during two cold-wet periods (e.g., 1880 to 1992, and 1945 to 1960), suggesting that a diminished water stress caused the observed growth pattern. However, BAI increased significantly (49.4 %) from 1965 to 1983 with constant intercellular atmospheric CO2 concentrations (Ci) response scenario under acute water limitations, indicating the CO2 stimulation of tree growth. These results showed that even at high elevations, increased iWUE may not lead to longterm enhancement of tree growth, and other factors may counteract CO2-fertilization effects, especially those related to a warming-induced drought. The results of this study suggest that the current models may overestimate the sink capacity of temperate forests, and indicate that multi-proxy records are needed to disentangle the role of a limiting factor in modulating the response of the Schrenk spruce forest to current climate change scenarios.
The rice (Oryza sativa L.) elongated uppermost internode (eui) gene effectively results in a recessive tall plant type. In eui background, we found a mutant 02428ha that exhibited a semidwarf phenotype. Because semidwarf varieties possess high yield potential, this mutant may be useful for hybrid rice breeding. The present study aimed to characterize the dwarfing mechanism in the mutant. Microscopic observation revealed that the cell length in the uppermost internode was reduced compared to the wild type. The mutant showed a decreased sensitivity to exogenous gibberellin A₃ (GA₃) and gibberellin (GA) biosynthesis inhibitor, uniconazole. Meanwhile, it contained a high level of endogenous gibberellin A₁ (GA₁). These results indicated that the semidwarf phenotype of 02428ha was caused by impairment of GA signal transduction rather than by block in GA biosynthesis. Furthermore, expression analysis of genes involved in the GA signaling pathway showed that transcript of GIBBERELLIN INSENSITIVE DWARF2 (GID2) was down-regulated in the mutant. Sequence analysis also revealed a 15-base pair (bp) insertion between base 594 and 595 in the coding region of GID2. Consequently, the reason for down-regulation expression of GID2 or sequence variation of GID2 might play roles in the phenotype of 02428ha.
Qilian Juniper (Sabina przewalskii Kom.) and Chinese juniper [Sabina chinensis (Lin.) Ant.] are overwintering plants. S. przewalskii, a protected species in China, is distributed in subalpine and alpine area on the Qinghai-Tibet Plateau. S. chinensis is distributed in plain area. We investigated seasonal changes in photoprotective stress compounds such as anthocyanins, activities of three enzymes of ascorbate–glutathione pathway, as well as xanthophyll size and conversion in these species. Ascorbate peroxidase (APX), dehydroascorbate reductase (DHAR) and glutathione reductase (GR) levels were higher in the lowtemperature months, which was associated with changes in anthocyanins and in de-epoxidation index [(A + Z)/ (V + A + Z)]. Photochemical efficiency of PSII (Fv/Fm) was lower (<0.70) during winter and late autumn in both species. During the low-temperature months, S. przewalskii had higher levels of photoprotective stress compounds than S. chinensis. The results suggested that these two species possess cold-induced photoinhibition functions and show the inherent, season-dependent differences in the amounts of the stress-related compounds.
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