Towards climate-resilient restoration in mesic eucalypt woodlands: characterizing topsoil biophysical condition in different degradation states

Background and aims

Investments in restoring native vegetation must increasingly allow for likely impacts of climate change, requiring re-evaluation of limits to ecological recovery and persistence. Nutrient enrichment and weed invasion are significant limits to restoration in mesic ecosystems, but in a drying climate, limits could shift towards more fundamental ecosystem functions. We used a state and transition framework to identify landuse-related changes in topsoil biophysical characteristics likely to influence climate resilience in mesic temperate eucalypt woodlands.

Methods

We compared topsoil condition in little-modified ‘reference’ states of the native ground-layer (dominated by tall tussock grasses) with four degraded ground-layer states identified in our state and transition framework. We hypothesized that ‘nutrient-depleted’ states (dominated by short tussock grasses) and ‘nutrient-enriched’ states (dominated by exotic annuals) would exhibit characteristics reflecting increased and decreased ecosystem vulnerability to a drying climate respectively.

Results

Our hypothesis that nutrient-depleted states are more vulnerable to a drying climate was supported by their significantly slower soil-water infiltration rates and significantly lower levels of topsoil carbon, clay, micro-invertebrates, microbial activity and modeled water holding capacity than reference states. However, degradation was less pronounced beneath trees, and our prediction regarding enriched states was supported only for carbon.

Conclusions

Topsoil biophysical characteristics associated with different ground-layer states are predictable using a state and transition framework. Climate resilience of nutrient-depleted states appears compromised by topsoil biophysical degradation, indicating increasing need for attention in mesic ecosystems predicted to become drier under climate change.     

!Kung spatial organization: An ecological and historical perspective

The ecological and social bases of spatial organization among hunters and gatherers are examined. After criticizing the patrilocal band model of social organization, the author documents the flexible, nonterritorial groupings of the !Kung Bushmen of Botswana and relates them to rainfall and surface water scarcity and variability. The paper goes on to consider the effects of extra-Bushman contacts on the breakdown of sociospatial organization and finds that the observed flexibility occurred in both the pre- and the postcontact periods. The final section attempts to relate the analysis to general issues. Three areas that need further work if a more valid model of hunter spatial organization is to be developed are the problems of time perspective in research, adaptation to long-term climatic variability, and critical thresholds of population density.     

Noise-driven stem cell and progenitor population dynamics

Background

The balance between maintenance of the stem cell state and terminal differentiation is influenced by the cellular environment. The switching between these states has long been understood as a transition between attractor states of a molecular network. Herein, stochastic fluctuations are either suppressed or can trigger the transition, but they do not actually determine the attractor states.

Methodology/Principal Findings

We present a novel mathematical concept in which stem cell and progenitor population dynamics are described as a probabilistic process that arises from cell proliferation and small fluctuations in the state of differentiation. These state fluctuations reflect random transitions between different activation patterns of the underlying regulatory network. Importantly, the associated noise amplitudes are state-dependent and set by the environment. Their variability determines the attractor states, and thus actually governs population dynamics. This model quantitatively reproduces the observed dynamics of differentiation and dedifferentiation in promyelocytic precursor cells.

Conclusions/Significance

Consequently, state-specific noise modulation by external signals can be instrumental in controlling stem cell and progenitor population dynamics. We propose follow-up experiments for quantifying the imprinting influence of the environment on cellular noise regulation.     

Evolution in bioids: Hypercompetitivity as a source of bistability and a possible role of metal complexes as prenucleoprotic mediators of molecular asymmetry

Spontaneous production of optically active compounds can occur through kinetic instability of an asymmetric steady state in open systems, in which two enantiomeric autocatalysts compete for a common prochiral substrate in a stereoselective reaction of ordern>2. For the case ofn=3, a proof of instability of a symmetric reacting state in the general case, and functions of reaction parameters (‘Chemical Reynolds Numbers’) governing the existence and stability of 7 different steady states are derived. The ‘extinct state’ (without autocatalyst) is stable; a finite amount of products is required to shift it into one of the reacting steady states. A mutation from one state into another in such systems (‘bioids’) involves an amplification of different ‘kinds of information’, as ‘stochastic’ (noise into dissipative structures), ‘molecular’ (autocatalysts), and ‘stoichiometric’ information. Stereospecific third order kinetics are believed to be realizable on octahedral metal complexes with two-dentated ligands and to have played a role in the prebiological evolution of optically active compounds.     

Nuclear-cytoplasmic compatibility and the state of mitochondrial and chloroplast DNA regions in alloplasmic recombinant and introgressive lines (H. vulgare)-T. aestivum

Alloplasmic lines combining alien nuclear and cytoplasmic genomes are convenient models for studying the mechanisms of nuclear-cytoplasmic compatibility/incompatibility. In the present study, we have investigated the correlation between the characters and state of mitochondrial (mt) and chloroplast (cp) DNA regions in alloplasmic recombinant common wheat lines with barley cytoplasm characterized by partial or total fertility. Fertility restoration in the studied lines (Hordeum vulgare)-Triticum aestivum is determined by different ratios of the genetic material of common wheat variety Pyrotrix 28, which is a fertility restorer in the cytoplasm of barley, and variety Saratovskaya 29, which is a fixer of sterility. In partially fertile lines with nuclear genomes dominated by the genetic material of Saratovskaya 29, plant growth and development are suppressed. In these lines we have identified the barley homoplasmy of cpDNA regions infA and rpoB and the heteroplasmy of the 18S/5S mt repeat and the cpDNA ycf5 region. Nuclear-cytoplasmic compatibility in lines with reduced fertility (the genetic material of Pyrotrix 28 predominates in their nuclear genomes) is associated with restoration of normal plant growth and development and the changes in the state of the studied cpDNA and mtDNA regions towards the wheat type. Thus, in fertile lines, the cpDNA regions (infA, rpoB) and the 18S/5S mt repeat were identified in the homoplasmic wheat state; though the cpDNA ycf5 region was in the heteroplasmic state, it was dominated by the wheat type of the copies. The nuclear-cytoplasmic compatibility is not broken as a result of introgression of the alien genetic material into the nuclear genome of one of the fertile lines; the plants of introgressive lines are fertile and normally developed, and the states of the cpDNA and mtDNA regions correspond to their states in fertile recombinant lines.     

Geographic variability of agriculture requires sector-specific uncertainty characterization

Purpose

Regionalization in life cycle assessment (LCA) has focused on spatially differentiated environmental variables for regional impact assessment models. Relatively less attention has been paid to spatial disparities in intermediate flows for life cycle inventory (LCI).

Methods

First, we compiled state-specific LCIs for four major crops in the USA and evaluated their geographic variability in the characterized results due to the differences in intermediate inputs. Second, we evaluated the consequence of choosing average or region-specific LCIs in understanding the life cycle environmental implications of land use change from cotton to corn or soybean. Finally, we analyzed the implications of our findings in characterizing the uncertainties associated with geographic variability under the conventional pedigree approach.

Results and discussion

Our results show that spatial disparities in LCI alone lead to two to fourfold differences in characterized results for most impact categories. The differences, however, increase to over an order of magnitude for freshwater ecotoxicity and human health non-cancer. Among the crops analyzed, winter wheat shows higher variability partly due to a larger difference in yield. As a result, the use of national average data derived from top corn and soybean producing states significantly underestimates the characterized impacts of corn and soybean in the states where land conversion from cotton to corn or soybean actually took place. The results also show that the conventional pedigree approach to uncertainty characterization in LCA substantially underestimates uncertainties arising from geographic variability of agriculture. Compared to the highest geometric standard deviation (GSD) value of 1.11 under the pedigree approach, the GSDs that we derived are as high as 7.1, with the median around 1.9.

Conclusions

The results highlight the importance of building regional life cycle inventory for understanding the environmental impacts of crops at the regional level. The high geographic variability of crops also indicates the need for sector-specific approaches to uncertainty characterization. Our results also suggest that the uncertainty values in the existing LCI databases might have been signficantly underestimated especially for those products with high geographic variability, demanding a cautious interpretation of the results derived from them. 

     

Theory of muscle contraction: I. Isometric contraction

For each molecule of ATP hydrolyzed by the ATPase at the subfragment 1 of the heavy meromyosin, one H⁺ is produced and remains associated with the myosin heads until a contact with the G-actins of the I-filaments is established. This contact is brought about by the calcium ions released in the sarcomeres by the sarcoplasmic reticulum at the arrival of nerve impulses. A rapid flux of protons along the I-filaments towards the Z-membrane down the concentration gradient leads to the buildup of a diffusion potential which in turn causes a charge-compensating movement of the diffused cationic layer around the I-filaments in the opposite direction. The latter movement exerts a viscous drag on the actins and tends to move the I-filaments deeper into the inter-A-filament spaces towards the M-line. A consistent and straightforward theory of muscular contraction is developed on these lines. The value of the isometric tension in striated muscle fiber of frog at slack length calculated on the basis of this theory agrees well with the measured value.     

Sayl andghayl: The ecology of water allocation in Yemen

In this article, comparison is made between the two major types of water allocation systems in Yemen: seasonal flood (sayl)and highland spring flow (ghayl).Constraints in the nature of water as a flowing resource are defined for each system. The major distinctions between the two types of systems are variability in water flow (which influences the determination of access rights), techniques of water control, measurement of water turns, the need for supervision of irrigation activities, and the potential for economic expansion of the production system. It is argued that tribal political organization is an adaptive response to highland spring flow allocation in Yemen, but undergoes stress in coastal flood systems where competition for the same water source extends across tribal boundaries in upstream-downstream conflict.     

Functional brain network modularity captures inter- and intra-individual variation in working memory capacity

Background

Cognitive abilities, such as working memory, differ among people; however, individuals also vary in their own day-to-day cognitive performance. One potential source of cognitive variability may be fluctuations in the functional organization of neural systems. The degree to which the organization of these functional networks is optimized may relate to the effective cognitive functioning of the individual. Here we specifically examine how changes in the organization of large-scale networks measured via resting state functional connectivity MRI and graph theory track changes in working memory capacity.

Methodology/Principal Findings

Twenty-two participants performed a test of working memory capacity and then underwent resting-state fMRI. Seventeen subjects repeated the protocol three weeks later. We applied graph theoretic techniques to measure network organization on 34 brain regions of interest (ROI). Network modularity, which measures the level of integration and segregation across sub-networks, and small-worldness, which measures global network connection efficiency, both predicted individual differences in memory capacity; however, only modularity predicted intra-individual variation across the two sessions. Partial correlations controlling for the component of working memory that was stable across sessions revealed that modularity was almost entirely associated with the variability of working memory at each session. Analyses of specific sub-networks and individual circuits were unable to consistently account for working memory capacity variability.

Conclusions/Significance

The results suggest that the intrinsic functional organization of an a priori defined cognitive control network measured at rest provides substantial information about actual cognitive performance. The association of network modularity to the variability in an individual''s working memory capacity suggests that the organization of this network into high connectivity within modules and sparse connections between modules may reflect effective signaling across brain regions, perhaps through the modulation of signal or the suppression of the propagation of noise.     

Toxicity of gold nanoparticles for plants in experimental aquatic system

Increased production and use of nanomaterials can lead to new types of pollution of the environment, including aquatic ecosystems. Pollution of the aqueous environment with nanoparticles can be a new type of pollution of the environment. This requires a more detailed study of the biological effects during exposure of nanoparticles on aquatic organisms. The interactions of gold nanoparticles (Au) with aquatic macrophytes Ceratophyllum demersum have been studied. Aquatic microcosms with these plants were used. Gold nanoparticles (Au) were added to the aqueous medium of C. demersum macrophyte containing microcosms. The state of the plants was then analyzed. Phytotoxicity of Au nanoparticles for aquatic macrophytes was shown for the first time. A new method of phytotoxicity detection was suggested and successfully approved. Phytotoxicity at a concentration of Au (in the form of nanoparticles) of 6 × 10^?6 M-1.8 × 10^?5 M was shown.     

Environmental Heterogeneity and Microbial Inheritance Influence Sponge-Associated Bacterial Composition of Spongia lamella

Sponges are important components of marine benthic communities. High microbial abundance sponges host a large diversity of associated microbial assemblages. However, the dynamics of such assemblages are still poorly known. In this study, we investigated whether bacterial assemblages present in Spongia lamella remained constant or changed as a function of the environment and life cycle. Sponges were collected in multiple locations and at different times of the year in the western Mediterranean Sea and in nearby Atlantic Ocean to cover heterogeneous environmental variability. Co-occurring adult sponges and offsprings were compared at two of the sites. To explore the composition and abundance of the main bacteria present in the sponge mesohyl, embryos, and larvae, we applied both 16S rRNA gene-denaturing gradient gel electrophoresis (DGGE) and sequencing of excised DGGE bands and quantitative polymerase chain reactions (qPCR). On average, the overall core bacterial assemblage showed over 60 % similarity. The associated bacterial assemblage fingerprints varied both within and between sponge populations, and the abundance of specific bacterial taxa assessed by qPCR significantly differed among sponge populations and between adult sponge and offsprings (higher proportions of Actinobacteria in the latter). Sequences showed between 92 and 100 % identity to sequences previously reported in GenBank, and all were affiliated with uncultured invertebrate bacterial symbionts (mainly sponges). Sequences were mainly related to Chloroflexi and Acidobacteria and a few to Actinobacteria and Bacteroidetes. Additional populations may have been present under detection limits. Overall, these results support that both ecological and biological sponge features may shape the composition of endobiont bacterial communities in S. lamella.     

Interannual Variability of Low-Molecular Metabolite Composition in <Emphasis Type="Italic">Ceratophyllum demersum</Emphasis> (Ceratophyllaceae) from a Floodplain Lake with a Changeable Trophic Status

The regularities that shape the composition of low molecular weight organic compounds (LMWOCs) in aquatic macrophytes in response to aquatic environment alterations remain poorly characterized. The aim of the present study consists of a comparative interannual investigation into LMWOC composition in rigid hornwort (Ceratophyllum demersum L.) from a Volga-Akhtuba floodplain lake with a variable trophic state. A high variability of LMWOC composition and individual compound levels in hornwort is detected as different trophic states of the water body are analyzed. Active allelochemicals are the predominant LMWOCs in the case of a “macrophytic” mesotrophic state of the lake, with fatty acids (the free fatty acid fraction) apparently being the most important in this group. Hornwort LMWOC composition in the case of a “cyanobacterial” eutrophic type of lake development is characterized by the predomination of compounds that enhance the protective reactions (manool being the most important) under the conditions of suppression by cyanobacteria, which is also manifested as an almost twofold decrease in the overall intensity of organiccompound biosynthesis.     

Neural Differentiation of Mesenchymal Stem Cells Influences Their Chemotactic Responses to Stromal Cell-Derived Factor-1α

Mesenchymal stem cells (MSCs) are proposed as a promising source for cell-based therapies in neural disease. Although increasing numbers of studies have been devoted to the delineation of factors involved in the migration of MSCs, the relationship between the chemotactic response and the differentiation status of these cells is still unclear. In the present study, we demonstrated that MSCs in varying neural differentiation states display various chemotactic responses to stromal cell-derived factor-1α (SDF-1α). The chemotactic responses of MSCs under different differentiation stages in response to SDF-1α were analyzed by Boyden chamber, and the results showed that cells of undifferentiation, 24-h preinduction, 5-h induction, and 18-h maintenance states displayed a stronger chemotactic response to SDF-1α, while 48-h maintenance did not. Further, we found that the phosphorylation levels of PI3K/Akt, ERK1/2, SAPK/JNK, and p38MAPK are closely related to the differentiation states of MSCs subjected to SDF-1α, and finally, inhibition of SAPK/JNK signaling significantly attenuates SDF-1α-stimulated transfilter migration of MSCs of undifferentiation, 24-h preinduction, 18-h maintenance, and 48-h maintenance, but not MSCs of 5-h induction. Meanwhile, interference with PI3K/Akt, p38MAPK, or ERK1/2 signaling prevents only cells at certain differentiation state from migrating in response to SDF-1α. Collectively, these results demonstrate that MSCs in varying neural differentiation states have different migratory capacities, thereby illuminating optimization of the therapeutic potential of MSCs to be used for neural regeneration after injury.     

The many structural faces of calmodulin: a multitasking molecular jackknife

Calmodulin (CaM) is a highly conserved protein and a crucial calcium sensor in eukaryotes. CaM is a regulator of hundreds of diverse target proteins. A wealth of studies has been carried out on the structure of CaM, both in the unliganded form and in complexes with target proteins and peptides. The outcome of these studies points toward a high propensity to attain various conformational states, depending on the binding partner. The purpose of this review is to provide examples of different conformations of CaM trapped in the crystal state. In addition, comparisons are made to corresponding studies in solution. The different CaM conformations in crystal structures are also compared based on the positions of the metal ions bound to their EF hands, in terms of distances, angles, and pseudo-torsion angles. Possible caveats and artifacts in CaM crystal structures are discussed, as well as the possibilities of trapping biologically relevant CaM conformations in the crystal state.     

Temporal variation of phytophilous Chironomidae over a 11-year period in a shallow Neotropical lake in southern Brazil

Small and shallow lakes make up most of the lake-covered area in the world, and immature Chironomidae generally constitute the dominant group among invertebrates in these systems, exhibiting a wide distribution and tolerance to various levels of water quality. The changes in trophic features associated with the dominance of different major primary producers (macrophyte and phytoplankton) are reflected in the functioning of these ecosystems and likely in their phytophilous Chironomidae species richness and abundance. These were thus studied in a Brazilian shallow lake over a 11-year period characterized by both clear and turbid water conditions in relation to water quality and dominant macrophytes. The results revealed differences in Chironomidae composition but not in richness associated with clear and turbid waters. The Goeldichironomus genera predominated during all years and for different macrophyte types (freefloating, floating leaf, and submerged). We attribute the variability of Chironomidae assemblages to changes in macrophyte dominance and water trophic status, such as the concentration of nutrients and chlorophyll-a, during the 11-year period. Submerged macrophytes were associated with clear waters and harbored the highest diversity, which emphasized the importance of these environmental conditions for preserving the biodiversity of Chironomidae in shallow lakes.     

Hyperactivity and sensation seeking as autoregulatory attempts to stabilize brain arousal in ADHD and mania?

Hypoarousal as indicated by skin conductance and electroencephalography (EEG) has been discussed as a pathogenetic factor in attention-deficit/hyperactivity disorder (ADHD). The aim of this paper was to review these arousal-related pathogenetic concepts and to present the more recently proposed vigilance regulation model of affective disorders and ADHD. The latter builds on methodological advances in classifying short EEG segments into vigilance stages (Vigilance Algorithm Leipzig, VIGALL), indicating different states of global brain function (“brain arousal”). VIGALL allows the objective assessment of vigilance regulation under defined conditions, e.g. how fast vigilance declines to lower vigilance stages associated with drowsiness during 15–20-min EEG recordings under resting conditions with eyes closed. According to the vigilance regulation model, the hyperactivity and sensation seeking observed in overtired children, ADHD and mania may be interpreted as an autoregulatory attempt to create a stimulating environment in order to stabilize vigilance. The unstable regulation of vigilance observed in both mania and ADHD may thus explain the attention deficits, which become especially prominent in monotonous sustained attention tasks. Among the arguments supporting the vigilance regulation model are the facts that destabilizing vigilance (e.g. via sleep deprivation) can trigger or exacerbate symptoms of ADHD or mania, whereas stabilizing vigilance (e.g. via psychostimulants, reducing sleep deficits) alleviates these symptoms. The potential antimanic effects of methylphenidate are presently being studied in an international randomized controlled trial. We propose vigilance regulation as a converging biomarker, which could be useful for identifying treatment responders to psychostimulants and forming pathophysiologically more homogeneous ADHD subgroups for research purposes.     

Lipid Rafts in Neurodegeneration and Neuroprotection

The collective properties of the lipids that form biological membranes give rise to a very high level of lateral organization within the membranes. Lipid-driven membrane organization allows the segregation of membrane-associated components into specific lipid rafts, which function as dynamic platforms for signal transduction, protein processing, and membrane turnover. A number of events essential for the functional integrity of the nervous system occur in lipid rafts and depend on lipid raft organization. Alterations of lipid composition that lead to abnormal lipid raft organization and consequent deregulation of lipid raft-dependent signaling are often associated with neurodegenerative diseases. The amyloidogenic processing of proteins involved in the pathogenesis of major nervous system diseases, including Alzheimer’s disease and Parkinson’s disease, requires lipid raft-dependent compartmentalization at the membrane level. Improved understanding of the forces that control lipid raft organization will facilitate the development of novel strategies for the effective prevention and treatment of neurodegenerative and age-related brain diseases.     

Metacognition and mentalizing are associated with distinct neural representations of decision uncertainty

Metacognition and mentalizing are both associated with meta-level mental state representations. Conventionally, metacognition refers to monitoring one’s own cognitive processes, while mentalizing refers to monitoring others’ cognitive processes. However, this self-other dichotomy is insufficient to delineate the 2 high-level mental processes. We here used functional magnetic resonance imaging (fMRI) to systematically investigate the neural representations of different levels of decision uncertainty in monitoring different targets (the current self, the past self [PS], and others) performing a perceptual decision-making task. Our results reveal diverse formats of internal mental state representations of decision uncertainty in mentalizing, separate from the associations with external cue information. External cue information was commonly represented in the right inferior parietal lobe (IPL) across the mentalizing tasks. However, the internal mental states of decision uncertainty attributed to others were uniquely represented in the dorsomedial prefrontal cortex (dmPFC), rather than the temporoparietal junction (TPJ) that also represented the object-level mental states of decision inaccuracy attributed to others. Further, the object-level and meta-level mental states of decision uncertainty, when attributed to the PS, were represented in the precuneus and the lateral frontopolar cortex (lFPC), respectively. In contrast, the dorsal anterior cingulate cortex (dACC) represented currently experienced decision uncertainty in metacognition, and also uncertainty about the estimated decision uncertainty (estimate uncertainty), but not the estimated decision uncertainty per se in mentalizing. Hence, our findings identify neural signatures to clearly delineate metacognition and mentalizing and further imply distinct neural computations on internal mental states of decision uncertainty during metacognition and mentalizing.

The relationship between metacognition and mentalizing is still a matter of debate, as both are associated with meta-representations. This study adapts a task paradigm used in metacognition to apply in mentalizing and compares the neural representations of decision uncertainty in metacognition and mentalizing.     

Effects of relaxation associated with brief restricted environmental stimulation therapy (REST) on plasma cortisol,ACTH, and LH

Restricted Environmental Stimulation Therapy (REST), which involves placing an individual into an environment of severely reduced stimulation for brief periods, has been subjectively reported to produce deep relaxation. The present study determines the effects of REST-assisted relaxation on plasma cortisol, ACTH, and luteinizing hormone (LH). These parameters were also measured in a group exposed to a similar relaxation paradigm, but without REST (non-REST). Each subject experienced two baseline sessions (1 and 2), four REST (or non-REST) relaxation sessions (3, 4, 5, 6), and two follow-up sessions (7 and 8). Pre- and postsession plasma hormone levels were measured in sessions 1, 2, 5, and 8. Both REST and non-REST subjects reported that the experience was relaxing. During the treatment period (session 5) pre- to postsession changes in cortisol and ACTH, but not in LH, were significantly greater for the REST group than for the non-REST group. Plasma cortisol level also decreased across sessions in the REST group, with levels in sessions 5 and 8 significantly lower than the baseline (sessions 1 and 2). Non-Rest subjects showed no change in plasma cortisol across sessions. No significant change in plasma ACTH or LH occurred across sessions in the REST or non-REST groups, although ACTH showed a decreasing trend. These data demonstrate that repeated brief REST-assisted relaxation produces a relaxation state associated with specific decreases in pituitary-adrenal axis activity.