Review article. Physicochemical aspects of ion relations and pH regulation in plants - a quantitative approach

A quantitative physicochemical approach to ion relations of biological solutions is presented, which applied fundamental laws of physical chemistry to these systems and allows analysis of dependent variables ([H⁺], [OH^-] and the dissociation state of partially dissociated ('weak') ions including carbonate species) in relation to independent variables (concentrations of strong and weak ions, dissociation constants and CO2 partial pressure). Within this concept the influence of strong (fully dissociated) ions is confined to their net unbalanced positive charge which is referred to as SID (strong ion difference). The SID concept is then applied to membrane transport processes and ion relations of xylem and phloem sap: simple transmembrane transport of protons between compartments cannot affect pH on either side of the membrane, because rather small deviations from electrical neutrality results in substantial changes of the membrane potential under natural conditions. Thus the membrane ATPases as electrogenic pumps cannot control the pH of adjacent compartments, but they energize secondary active transmembrane ion transport that results in pH changes. The SID approach is shown to be valid by matching pH values calculated from analysis of xylem and phloem saps with actual measured values. Sensitivity analysis based on the SID approach allows (1) to detect inconsistency in determination of composition in the analysed solutions and (2) quantitatively to analyse the influence of ion export or import and variations of pCO2 on pH and dissociation state of weak acids of complex biological solutions. The SID concept thus allows the evaluation of the contribution of a proposed pH-regulating or pH-affecting mechanism on a quantitative physicochemical basis.Key words: Electrical neutrality, membrane potential, pH regulation, phloem sap, SID, xylem sap.      

Mitochondrial DNA variation in Koryaks and Itel'men: Population replacement in the Okhotsk Sea–Bering Sea region during the neolithic

In this study, we analyzed the mitochondrial DNA (mtDNA) variation in 202 individuals representing one Itel'men and three Koryak populations from different parts of the Kamchatka peninsula. All mtDNAs were subjected to high resolution restriction (RFLP) analysis and control region (CR) sequencing, and the resulting data were combined with those available for other Siberian and east Asian populations and subjected to statistical and phylogenetic analysis. Together, the Koryaks and Itel'men were found to have mtDNAs belonging to three (A, C, and D) of the four major haplotype groups (haplogroups) observed in Siberian and Native American populations (A–D). In addition, they exhibited mtDNAs belonging to haplogroups G, Y, and Z, which were formerly called “Other” mtDNAs. While Kamchatka harbored the highest frequencies of haplogroup G mtDNAs, which were widely distributed in eastern Siberian and adjacent east Asian populations, the distribution of haplogroup Y was restricted within a relatively small area and pointed to the lower Amur River–Sakhalin Island region as its place of origin. In contrast, the pattern of distribution and the origin of haplogroup Z mtDNAs remained unclear. Furthermore, phylogenetic and statistical analyses showed that Koryaks and Itel'men had stronger genetic affinities with eastern Siberian/east Asian populations than to those of the north Pacific Rim. These results were consistent with colonization events associated with the relatively recent immigration to Kamchatka of new tribes from the Siberian mainland region, although remnants of ancient Beringian populations were still evident in the Koryak and Itel'men gene pools. Am J Phys Anthropol 108:1–39, 1999. © 1999 Wiley‐Liss, Inc.     

Synthesis, spectroscopy, structure and photophysical properties of dinaphthylmethylarsine complexes of palladium(II) and platinum(II)

Dinaphthylmethylarsine complexes of palladium(II) and platinum(II) with the formulae [MX₂L₂] (M = Pd, Pt; L = di(1-naphthyl)methylarsine = Nap₂AsMe and X = Cl, Br, I), [M₂Cl₂(μ-Cl)₂L₂], [PdCl(S₂CNEt₂)L], [Pd₂Cl₂(μ-OAc)₂L₂] and [MCl₂(PR₃)L] (PR₃ = PEt₃, PPr₃, PBu₃, PMePh₂) have been prepared. These complexes have been characterized by elemental analyses, IR, Raman, NMR (¹H, ¹³C, ³¹P) and UV-vis spectroscopy. The stereochemistry of the complexes has been deduced from the spectroscopic data. The crystal structures of trans-[PdCl₂(PEt₃)(Nap₂AsMe)] and of [Pd(S₂CNEt₂)₂], a follow-up product, were determined. The UV-vis spectra of [MX₂L₂] complexes show a red shift on going from X = Cl to X = I. The complexes [PdX₂L₂] and [PtX₂L₂] are strongly luminescent in fluid solution and in the solid at ambient temperature.     

Predicting global change impacts on plant species’ distributions: Future challenges

Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species’ range shifts, changes in phenology and species’ extinctions, accurate projections of species’ responses to future environmental changes are more difficult to ascertain. This is problematic, since there is a growing awareness of the need to adopt proactive conservation planning measures using forecasts of species’ responses to future environmental changes.

There is a substantial body of literature describing and assessing the impacts of various scenarios of climate and land-use change on species’ distributions. Model predictions include a wide range of assumptions and limitations that are widely acknowledged but compromise their use for developing reliable adaptation and mitigation strategies for biodiversity. Indeed, amongst the most used models, few, if any, explicitly deal with migration processes, the dynamics of population at the “trailing edge” of shifting populations, species’ interactions and the interaction between the effects of climate and land-use.

In this review, we propose two main avenues to progress the understanding and prediction of the different processes occurring on the leading and trailing edge of the species’ distribution in response to any global change phenomena. Deliberately focusing on plant species, we first explore the different ways to incorporate species’ migration in the existing modelling approaches, given data and knowledge limitations and the dual effects of climate and land-use factors. Secondly, we explore the mechanisms and processes happening at the trailing edge of a shifting species’ distribution and how to implement them into a modelling approach. We finally conclude this review with clear guidelines on how such modelling improvements will benefit conservation strategies in a changing world.     

Species distribution and <Emphasis Type="Italic">in vitro</Emphasis> antifungal susceptibility of oral yeast isolates from Tanzanian HIV-infected patients with primary and recurrent oropharyngeal candidiasis

Background  

In Tanzania, little is known on the species distribution and antifungal susceptibility profiles of yeast isolates from HIV-infected patients with primary and recurrent oropharyngeal candidiasis.     

Dealing with virtual aggregation – a new index for analysing heterogeneous point patterns

Point pattern analyses such as the estimation of Ripley's K‐function or the pair‐correlation function g are commonly used in ecology to characterise ecological patterns in space. However, a major disadvantage of these methods is their missing ability to deal with spatial heterogeneity. A heterogeneous intensity of points causes a systematic bias in estimates of the K‐ and g‐functions, a phenomenon termed “virtual aggregation” in the recent literature. To address this problem, we derive a new index, called K2‐index, as an extension of existing point pattern characteristics. The K2‐index has a heuristic interpretation as an approximation to the first derivative of the g‐function. We estimate the K‐, g‐ and K2‐functions for six different types of simulated point patterns and show that the K2‐index may provide important information on point patterns that the other methods fail to detect. The results indicate that particularly the small‐scale distributions of points are better represented by the K2‐index. This might be important for testing hypotheses on ecological processes, because most of these processes, such as direct neighbour interactions, occur very locally. When applied to empirical patterns of molehill distribution, the results of the K2‐analysis show regularity up to distances between 0.1 and 0.4 m in most of the study areas, and aggregation of molehills up to distances between 0.2 and 1.1 m. The type and scale of these deviations from randomness agree with a priori expectations on the hill‐building behaviour of moles. In contrast, the estimated g‐functions merely indicate aggregation at the full range from 0 to 7 m (or even above). Considering the advantages and disadvantages of the different methods, we suggest that the K2‐index should be used as a complement to existing approaches, particularly for point patterns generated by processes that act on more than one scale.     

Photosynthetic acclimation is important for post-submergence recovery of photosynthesis and growth in two riparian species

Background and Aims

Concomitant increases in O₂ and irradiance upon de-submergence can cause photoinhibition and photo-oxidative damage to the photosynthetic apparatus of plants. As energy and carbohydrate supply from photosynthesis is needed for growth, it was hypothesized that post-submergence growth recovery may require efficient photosynthetic acclimation to increased O₂ and irradiance to minimize photo-oxidative damage. The hypothesis was tested in two flood-tolerant species: a C₃ herb, Alternanthera philoxeroides; and a C₄ grass, Hemarthria altissima. The impact of low O₂ and low light, typical conditions in turbid floodwater, on post-submergence recovery was assessed by different flooding treatments combined with shading.

Methods

Experiments were conducted during 30 d of flooding (waterlogging or submergence) with or without shading and subsequent recovery of 20 d under growth conditions. Changes in dry mass, number of branches/tillers, and length of the longest internodes and main stems were recorded to characterize growth responses. Photosynthetic parameters (photosystem II efficiency and non-photochemical quenching) were determined in mature leaves based on chlorophyll a fluorescence measurements.

Key Results

In both species growth and photosynthesis recovered after the end of the submergence treatment, with recovery of photosynthesis (starting shortly after de-submergence) preceding recovery of growth (pronounced on days 40–50). The effective quantum yield of photosystem II and non-photochemical quenching were diminished during submergence but rapidly increased upon de-submergence. Similar changes were found in all shaded plants, with or without flooding. Submerged plants did not suffer from photoinhibition throughout the recovery period although their growth recovery was retarded.

Conclusions

After sudden de-submergence the C₃ plant A. philoxeroides and the C₄ plant H. altissima were both able to maintain the functionality of the photosynthetic apparatus through rapid acclimation to changing O₂ and light conditions. The ability for photosynthetic acclimation may be essential for adaptation to wetland habitats in which water levels fluctuate.Key words: Aerenchyma, Alternanthera philoxeroides, flooding, growth, Hemarthria altissima, low light, photosynthesis, shade, submergence, waterlogging, wetland plant     

The long-chain fatty acid sensor, PsrA, modulates the expression of rpoS and the type III secretion exsCEBA operon in Pseudomonas aeruginosa

The Pseudomonas aeruginosa PsrA autorepressor has dual roles as a repressor of the fadBA5 β-oxidation operon and an activator of the stationary-phase sigma factor rpoS and exsCEBA operon of the type III secretion system (TTSS). Previously, we demonstrated that the repression of the fadBA5 operon by PsrA is relieved by long-chain fatty acids (LCFAs). However, the signal affecting the activation of rpoS and exsC via PsrA is unknown. In this study, microarray and gene fusion data suggested that LCFA (e.g. oleate) affected the expression of rpoS and exsC . DNA binding studies confirmed that PsrA binds to the rpoS and exsC promoter regions. This binding was inhibited by LCFA, indicating that LCFA directly affects the activation of these two genes through PsrA. LCFA decreased rpoS and exsC expression, resulting in increased N -(butyryl)- l -homoserine-lactone quorum sensing signal and decreased ExoS/T production respectively. Based on the crystal structure of PsrA, site-directed mutagenesis of amino acid residues, within the hydrophobic channel thought to accommodate LCFA, created two LCFA-non-responsive PsrA mutants. The binding and activation of rpoS and exsC by these PsrA mutants was no longer inhibited by LCFA. These data support a mechanistic model where LCFAs influence PsrA regulation to control LCFA metabolism and some virulence genes in P. aeruginosa .