Derivation of soil to plant transfer functions for metals and metalloids: impact of contaminant’s availability

Plant and Soil - Soil to plant transfer models (SPT) are needed to predict levels of potentially toxic elements (PTE’s) in crops in view of risk assessment. Here we developed a field study to...     

Bioethanol production from the hydrolysate of Palmaria palmata using sulfuric acid and fermentation with brewer’s yeast

Seaweeds, particularly species of red macroalgae, are promising resources for bioethanol production because of their exceptionally high carbohydrate content. Of 20 seaweeds evaluated, Palmaria palmata (Rhodymenia palmata) contained the highest carbohydrate content (469.8 mg g^?1 seaweed) with a carrageenan content of 354 mg g^?1 seaweed. Such a high carrageenan content makes the high-volume production of bioethanol feasible. Acid hydrolysis of P. palmata in 0.4 M H₂SO₄ at 125 °C for 25 min released 27 mg of glucose, 218.4 mg of reducing sugars, and 127.6 mg of galactose per gram of seaweed. Ethanol fermentation of these hydrolysis products using an inoculum concentration of 1.5 mg mL^?1 at 30 °C and 72 h in a shaking incubator at 130 rpm yielded 17.3 mg of ethanol per gram of seaweed.     

Effects of plant invasion on soil nitrogen transformation processes and it’s associated microbial北大核心CSCD

Invasive alien plants not only influence plant community composition, biodiversity and ecosystem structure and function, but also have severe impacts on soil nitrogen transformation processes. The effects of invasive alien plants on nitrogen (N) cycling have been one of the hot topics in invasion ecology. Litter decomposition and its nutrient release play an important role in nutrient cycling. In addition, invasive alien plants have the potential to influence soil N transformation through allelopathy. All these processes are tightly related to soil microbes. Therefore, this review mainly focuses on litter decomposition and its nutrient release, and allelopathy to understand the effects of plant invasion on soil N transformation. Changes in soil N transformation and soil microbes (esp. Ammonia oxidizing bacteria and Ammonia oxidizing archaea) due to plant invasion, as well as the feed-backs of these changes to further invasion of alien plants were discussed. Finally, the interactions between arbuscular mycorrhizal fungi and plant invasion were reviewed. © Chinese Journal of Plant Ecology     

Photosynthetic characterization of three dominant plant species in the saline–alkaline soil of the Yellow River Delta,China

The diurnal variations of photosynthesis of three dominant species, including Glycine soja, Phragmites australis, and Cynanchum chinensis, in the Yellow River Delta in China have been studied under the same natural conditions using a Li-6400 portable photosynthesis system. The results showed that the curves of diurnal variations of net photosynthetic rate (P_N) of the three plants were different. The diurnal variation of P_N on C. chinensis was a midday depression pattern and had two peaks. However, P_N of G. soja and P. australis showed single-peak curves. The transpiration rate (E) of G. soja was significantly higher than that of P. australis and C. chinensis, both showed single-peak curves. In general, the diurnal course of stomatal conductance (g_s) followed the same pattern of P_N. A similar diurnal pattern of intercellular CO₂ concentration (C_i), vapor pressure deficit (VPD), and water use efficiency (WUE) was observed among different species. VPD showed single-peak curves, while WUE was characterized by double-peak curves, which was contrary to C_i. Linear correlations among photosynthetic variables and key environmental factors indicate high positive correlations between P_N and E, P_N and photosynthetic active radiation, P_N and leaf temperature (T_leaf), P_N and VPD, and between P_N and g_s except C. chinensis. Negative correlations among P_N and relative humidity, P_N and C_i were found. The irradiance response curves derived from the leaves were substantially affected by different species. C. chinensis showed highest apparent quantum efficiency, followed by P. australis and G. soja, while apparent dark respiration (R_d), convexity (k), light saturation point, and maximum gross CO₂ assimilation rate (P_max) of G. soja were higher than those of P. australis and C. chinensis. The irradiance response curve of P_N and WUE of different plant species followed the same order: G. soja>C. chinensis>P. australis. They were both higher than most of other species. It was concluded that plant species adapting to the saline–alkaline habitat showed higher photosynthesis. In addition, G. soja is also effective to improve saline–alkaline soil quality.     

Power spectral density and coherence analysis of Alzheimer’s EEG

In this paper, we investigate the abnormalities of electroencephalograph (EEG) signals in the Alzheimer’s disease (AD) by analyzing 16-scalp electrodes EEG signals and make a comparison with the normal controls. The power spectral density (PSD) which represents the power distribution of EEG series in the frequency domain is used to evaluate the abnormalities of AD brain. Spectrum analysis based on autoregressive Burg method shows that the relative PSD of AD group is increased in the theta frequency band while significantly reduced in the alpha2 frequency bands, particularly in parietal, temporal, and occipital areas. Furthermore, the coherence of two EEG series among different electrodes is analyzed in the alpha2 frequency band. It is demonstrated that the pair-wise coherence between different brain areas in AD group are remarkably decreased. Interestingly, this decrease of pair-wise electrodes is much more significant in inter-hemispheric areas than that in intra-hemispheric areas. Moreover, the linear cortico-cortical functional connectivity can be extracted based on coherence matrix, from which it is shown that the functional connections are obviously decreased, the same variation trend as relative PSD. In addition, we combine both features of the relative PSD and the normalized degree of functional network to discriminate AD patients from the normal controls by applying a support vector machine model in the alpha2 frequency band. It is indicated that the two groups can be clearly classified by the combined feature. Importantly, the accuracy of the classification is higher than that of any one feature. The obtained results show that analysis of PSD and coherence-based functional network can be taken as a potential comprehensive measure to distinguish AD patients from the normal, which may benefit our understanding of the disease.     

SNP analysis of genes related to cholesterol metabolism and associated with late-onset Alzheimer’s disease

Late onset Alzheimer’s disease (LOAD) is the most common type of dementia and is characterized by impaired cholesterol homeostasis. Genome-wide association studies (GWAS) have shown that APOE, TOMM40, CLU, SORL1, PICALM, and BIN1 are related to cholesterol metabolism. To characterize the association between single-nucleotide polymorphisms (SNPs) and LOAD, we sequenced the SNP regions of the identified genes in a total of 11 LOAD cases and 12 healthy case controls in the Korean population. The SNP data showed a relatively high frequency in LOAD samples compared to the control samples. LOAD samples showed an average of 2.9 SNPs, whereas normal controls showed an average of 1.5 SNPs in the genes. Taken together, six genes associated with cholesterol metabolism using SNP analysis have shown frequent genetic variations in LOAD.     

Lipid analysis of the plasma membrane and mitochondria of brewer’s yeast

The plasma membrane and mitochondria of bottom fermenting brewer's yeast obtained as a by-product of industrial beer production were isolated and the lipid fraction was analyzed. The phospholipid content accounted for 78 mg/g protein in the plasma membrane and 59 mg/g protein in the mitochondria. Major phospholipids in both preparations were phosphatidylinositol, phosphatidylcholine and phosphatidylethanolamine but their proportions differed significantly. In the plasma membrane phosphatidylinositol, and in the mitochondria phosphatidylcholine were present in the highest concentration (37 and 30%, respectively). The main classes of neutral lipids (triacylglycerols, ergosterol, squalene and steryl esters) were twice more abundant in the plasma membrane than in the mitochondria (61 and 33 mg/g protein, respectively). A characteristic of the neutral lipid composition of both organelles was the low content of ergosterol (12 and 7 mg/g protein, respectively) and a high content of squalene (25 and 22 mg/g protein). The main feature of the fatty acid composition of both organelles was the preponderance of saturated fatty acids (78 and 79%, respectively), among which palmitic acid was the principal one. The most expressed characteristics of lipid fractions of the analyzed plasma membranes and mitochondria, high concentration of squalene and preponderance of saturated fatty acids are the consequences of anaerobic growth conditions. The lack of oxygen had possibly the strongest effect on the lipid composition of the plasma membranes and mitochondria of bottom fermenting brewer's yeast.     

Comparing auditory,visual and vibrotactile cues in individuals with Parkinson’s disease for reducing risk of falling over different types of soil

Introduction: Several researchers have demonstrated the positive benefits of auditory and visual cueing in the gait improvements among individuals with Parkinson’s disease (PD). However, few studies have evaluated the role of vibrotactile cueing when compared to auditory and visual cueing. This paper compares how these stimuli affect the risk of falling while walking on six types of soil (concrete, sand, parquet, broken stone, two types of carpet).

Methods: An instrumented Timed Up and Go (iTUG) test served to evaluate how audio, visual and vibrotactile cueing can affect the risk of falling of elderly. This pilot study proposes 12 participants with PD (67.7?±?10.07?years) and nine age-matched controls (66.8?±?8.0?years). Both groups performed the iTUG test with and without cueing. The cueing frequency was set at 10% above the cadence computed at the lower risk level of falling (walking over the concrete). A computed risk of falling (ROFA) index has been compared to the TUG time (total TUG duration).

Results: The index for evaluating the risk of falling appears to have a good reliability (ICC >?0.88) in this pilot study. In addition, the minimal detectable change (MDC) suggests that the proposed index could be more sensitive to the risk of falling variation compared to the TUG time. Moreover, while using the cueing, observed results suggest a significant decrease in the computed risk of falling compared to ‘without cueing’ for most of types of soil, especially for deformable soils, which can lead to falls.

Conclusion: When compared to other cueing, it seems that audio could be a better neurofeedback for reducing the risk of falling over different walking surfaces, which represent important risk factors for persons with gait disorder or lost functional autonomy.     

Stability analysis of a steady state of a model describing Alzheimer’s disease and interactions with prion proteins

Journal of Mathematical Biology - Alzheimer’s disease (AD) is a neuro-degenerative disease affecting more than 46 million people worldwide in 2015. AD is in part caused by the accumulation of...     

Copper and Zinc in the Serum,Urine, and Hair of Patients with Wilson’s Disease Treated with Penicillamine and Zinc

The purpose of this study was to determine the different levels of copper and zinc in the serum, urine, and scalp hair of patients with Wilson’s disease receiving different, currently accepted methods of treatment to reduce the copper load (penicillamine—group 1, n = 8; zinc—group 2, n = 8; penicillamine+zinc—group 3, n = 8). Blood, urine, and hair samples were collected from the patients. All three treatments resulted in a significant decrease of the serum copper levels. Significantly increased levels of zinc in the serum were detected in the patients in groups 2 and 3 (19.1 and 18.8 μmol/l, respectively; p < 0.05). Copper excretion in the urine significantly increased during its administration to groups 1 and 3 (11.5 and 7.94 μmol/24 h respectively; p < 0.001) due to the effect of penicillamine. The administration of zinc as monotherapy (group 2) or in combination with penicillamine (group 3) led to an increase of its excretion (25.3 and 22.4 μmol/24 h, respectively; p < 0.01). Only an insignificant rise of the copper content in the hair was found in all three groups of patients. The content of zinc in the hair did not differ significantly in any of the groups in comparison with the control group.     

DenNit – Experimental analysis and modelling of soil N2O efflux in response on changes of soil water content, soil temperature, soil pH, nutrient availability and the time after rain event

To quantify the effects of soil temperature (T_soil), and relative soil water content (RSWC) on soil N₂O emission we measured N₂O soil efflux with a closed dynamic chamber in situ in the field and from soil cores in a controlled climate chamber experiment. Additionally we analysed the effect of soil acidity, ammonium, and nitrate concentration in the field. The analysis was performed on three meadows, two bare soils and in one forest. We identified soil water content, soil temperature, soil nitrogen content, and pH as the main parameters influencing soil N₂O emission. The response of N₂O emission to soil temperature and relative soil water content was analysed for the field and climate chamber measurements. A non-linear regression model (DenNit) was developed for the field data to describe soil N₂O efflux as a function of soil temperature, soil moisture, pH value, and ammonium and nitrate concentration. The model could explain 81% of the variability in soil N₂O emission of all individual field measurements, except for data with short-term soil water changes, namely during and up to 2 h after rain stopped. We validated the model with an independent dataset. For this additional meadow site 73% of the flux variation could be explained with the model.     

Pervasive and strong effects of plants on soil chemistry: a meta-analysis of individual plant ‘Zinke’ effects

Plant species leave a chemical signature in the soils below them, generating fine-scale spatial variation that drives ecological processes. Since the publication of a seminal paper on plant-mediated soil heterogeneity by Paul Zinke in 1962, a robust literature has developed examining effects of individual plants on their local environments (individual plant effects). Here, we synthesize this work using meta-analysis to show that plant effects are strong and pervasive across ecosystems on six continents. Overall, soil properties beneath individual plants differ from those of neighbours by an average of 41%. Although the magnitudes of individual plant effects exhibit weak relationships with climate and latitude, they are significantly stronger in deserts and tundra than forests, and weaker in intensively managed ecosystems. The ubiquitous effects of plant individuals and species on local soil properties imply that individual plant effects have a role in plant–soil feedbacks, linking individual plants with biogeochemical processes at the ecosystem scale.     

Extending Darwin’s analogy: Bridging differences in concepts of selection between farmers, biologists, and plant breeders

Darwin developed his theory of evolution based on an analogy between artificial selection by breeders of his day and “natural selection.” For Darwin, selection included what biologists came to see as being composed of (1) phenotypic selection of individuals based on phenotypic differences, and, when these are based on heritable genotypic differences, (2) genetic response between generations, which can result in (3) evolution (cumulative directional genetic response over generations). The use of the term “selection” in biology and plant breeding today reflects Darwin’s assumption—phenotypic selection is only biologically significant when it results in evolution. In contrast, research shows that small-scale, traditionally-based farmers select seed as part of an integrated production and consumption system in which selection is often not part of an evolutionary process, but is still useful to farmers. Extending Darwin’s analogy to farmers can facilitate communication between farmers, biologists, and plant breeders to improve selection and crop genetic resource conservation.     

Prognostic analysis of Behçet’s disease with aortic regurgitation or involvement

Background

Aortic regurgitation is the most common cardiovascular damage in Chinese patients with Behçet’s disease (BD) and is usually associated with aortic disease. These patients are easily misdiagnosed, and their prognosis is poor, even after surgical treatment. This study aimed to analyse potential factors that can improve the prognosis of BD patients with aortic regurgitation and/or aortic involvement.

Methods

Twenty-two patients with diagnosed or suspected BD as well as aortic regurgitation and/or aortic involvement in our hospital from 2012 through 2017 were collected in this study. Their clinical characteristics were listed, and the diagnosis of BD was evaluated by two different criteria sets. The influences of surgical treatment and immunosuppressive therapy (IST) on their prognosis were also explored.

Results

The diagnostic positive rate of the International Criteria for Behçet’s Disease was higher than that of the International Study Group criteria (kappa value 0.31, p?<?0.05), indicating that the diagnostic consistency between the criteria sets was poor. There was no significant difference in survival between patients who had undergone ≤?1 operation and those with ≥?2 operations. Aortic valve replacement alone or in combination with aortic root replacement had no significant effect on the incidence of reoperation or death, but IST did significantly reduce this incidence (p?<?0.05). However, there was no significant difference in the occurrence of reoperation or death between preoperative and postoperative IST versus postoperative IST only.

Conclusion

IST significantly improved the prognosis of BD patients with aortic regurgitation and/or aortic involvement.

     

Modifying the ‘pulse–reserve’ paradigm for deserts of North America: precipitation pulses,soil water,and plant responses

The ‘pulse–reserve’ conceptual model—arguably one of the most-cited paradigms in aridland ecology—depicts a simple, direct relationship between rainfall, which triggers pulses of plant growth, and reserves of carbon and energy. While the heuristics of ‘pulses’, ‘triggers’ and ‘reserves’ are intuitive and thus appealing, the value of the paradigm is limited, both as a conceptual model of how pulsed water inputs are translated into primary production and as a framework for developing quantitative models. To overcome these limitations, we propose a revision of the pulse–reserve model that emphasizes the following: (1) what explicitly constitutes a biologically significant ‘rainfall pulse’, (2) how do rainfall pulses translate into usable ‘soil moisture pulses’, and (3) how are soil moisture pulses differentially utilized by various plant functional types (FTs) in terms of growth? We explore these questions using the patch arid lands simulation (PALS) model for sites in the Mojave, Sonoran, and Chihuahuan deserts of North America. Our analyses indicate that rainfall variability is best understood in terms of sequences of rainfall events that produce biologically-significant ‘pulses’ of soil moisture recharge, as opposed to individual rain events. In the desert regions investigated, biologically significant pulses of soil moisture occur in either winter (October–March) or summer (July–September), as determined by the period of activity of the plant FTs. Nevertheless, it is difficult to make generalizations regarding specific growth responses to moisture pulses, because of the strong effects of and interactions between precipitation, antecedent soil moisture, and plant FT responses, all of which vary among deserts and seasons. Our results further suggest that, in most soil types and in most seasons, there is little separation of soil water with depth. Thus, coexistence of plant FTs in a single patch as examined in this PALS study is likely to be fostered by factors that promote: (1) separation of water use over time (seasonal differences in growth), (2) relative differences in the utilization of water in the upper soil layers, or (3) separation in the responses of plant FTs as a function of preceding conditions, i.e., the physiological and morphological readiness of the plant for water-uptake and growth. Finally, the high seasonal and annual variability in soil water recharge and plant growth, which result from the complex interactions that occur as a result of rainfall variability, antecedent soil moisture conditions, nutrient availability, and plant FT composition and cover, call into question the use of simplified vegetation models in forecasting potential impacts of climate change in the arid zones in North America.