The effect of culture density and proliferation rate on the expression of ouabain-sensitive Na/K ATPase pumps in cultured human retinal pigment epithelium

The number and activity of ouabain-sensitive Na/K ATPase pumps expressed by many cell types in vitro, including human retinal pigment epithelial cells (RPE), have been shown to decline with increasing culture density. Cell proliferation also declined as cultures became dense so it was unclear if pump number was modulated by cell proliferation or culture confluency. By exposing RPE cultures to various feeding regimens, using culture medium containing or lacking serum, it was possible to produce RPE cultures with a range of culture densities and growth rates. These were analyzed for proliferative activity by quantifying [3H]thymidine incorporation and for Na/K ATPase pump number by measuring specific [3H]ouabain binding. The results suggest that pump number is modulated by culture density and, further, that the density-dependent regulation of pump number requires serum. Although density-dependent modulation of culture growth is also serum requiring, cell proliferation and pump number did not appear to be related; cultures of similar density which differed significantly in growth rate had similar numbers of pumps. The view that elevated numbers of pumps were not necessarily found in proliferating cells was further supported by qualitative examination of radioautographs of cells dually labeled with [3H]thymidine and [3H]ouabain. Cycling cells which had [3H]thymidine-labeled nuclei did not have notably higher labeling with [3H]ouabain. However, [3H]ouabain labeling, as an indicator of pump site number and distribution, did vary among cells in an RPE population and also within individual cells. This latter observation suggests that unpolarized RPE cells in sparse cultures may have regionally different requirements for ionic regulation.     

Applications of computerized stochastic models of human reproduction and population growth in family planning evaluation

This paper reports on the results of a computer experiment demonstrating some of the capabilities of computerized versions of a stochastic model of population growth [4] and a stochastic model of human reproduction [5] in family planning evaluation. The paper is divided into five sections, with Sec. 1 being devoted to a discussion of some of the motivations underlying the paper and the limitations of the results. Section 2 contains the numerical specifications of the component distributions of the model, and in Sec. 3 an experimental design is defined whereby the interactions of two alternative family building schemes, late versus early marriage, and low versus high desired family size may be studied with respect to population growth. The experimental design consists of eight reproductive regimes, and in Sec. 4 graphs of the calculated net maternity functions of these regimes together with the corresponding Malthusian parameter, the crude birth rate, and the mean number of female offspring in a completed family are presented. Section 5 is devoted to two population projections designed to measure the impact on population growth of two experimental schemes of transition from a high reproductive regime to a lower one. The indicators of population change and distributions used to measure the impact of these two experimental transitions in reproductive regimes as a function of time in these projections were crude birth rate, annual rate of population growth, age-specific birth rates, age distribution, and mean total population size.     

Relationships between basic life history parameters and population size

We consider an ideal population with a stable age composition changing according Lotka equation. Additional assumptions are made concerning the constancy of population size, independence of specific mortality rate on age, and linear dependence of female fecundity on its weight. A relationship has been obtained [formula: see text] where N0 is initial numbers of a generation, N[alpha, omega] is total numbers of the mature part of the population, w[alpha, omega] is a mean weight of a mature individual, s is sex ratio, c is specific fecundity (per unit of weight) and l0 is the probability of larval surviving. The growth of an individual is described by the Bertalanffy function. Methods of calculation of life history parameters are discussed. A method is proposed to calculate the age of maturity (alpha) and at the end (omega) of the reproduction period as first and second inflection points of the growth rate curve. Based upon data on development of 27 populations of several species of fishes of inland waters of Russia the following relationship have been obtained: [formula: see text] for populations with [formula: see text] < or = 100 g, [formula: see text] for populations with [formula: see text] > 100 g, and [formula: see text] for all populations.     

Immigration ensures population survival in the Siberian flying squirrel

Linking dispersal to population growth remains a challenging task and is a major knowledge gap, for example, for conservation management. We studied relative roles of different demographic rates behind population growth in Siberian flying squirrels in two nest‐box breeding populations in western Finland. Adults and offspring were captured and individually identifiable. We constructed an integrated population model, which estimated all relevant annual demographic rates (birth, local [apparent] survival, and immigration) as well as population growth rates. One population (studied 2002–2014) fluctuated around a steady‐state equilibrium, whereas the other (studied 1995–2014) showed a numerical decline. Immigration was the demographic rate which showed clear correlations to annual population growth rates in both populations. Population growth rate was density dependent in both populations. None of the demographic rates nor the population growth rate correlated across the two study populations, despite their proximity suggesting that factors regulating the dynamics are determined locally. We conclude that flying squirrels may persist in a network of uncoupled subpopulations, where movement between subpopulations is of critical importance. Our study supports the view that dispersal has the key role in population survival of a small forest rodent.     

The parasite capacity of the host population

The estimation of parasitic pressure on the host populations is frequently required in parasitological investigations. The empirical values of prevalence of infection are used for this, however the latter one as an estimation of parasitic pressure on the host population is insufficient. For example, the same prevalence of infection can be insignificant for the population with high reproductive potential and excessive for the population with the low reproductive potential. Therefore the development of methods of an estimation of the parasitic pressure on the population, which take into account the features the host population, is necessary. Appropriate parameters are to be independent on view of the researcher, have a clear biological sense and be based on easily available characteristics. The methods of estimation of parasitic pressure on the host at the organism level are based on various individual viability parameters: longevity, resistance to difficult environment etc. The natural development of this approach for population level is the analysis of viability parameters of groups, namely, the changing of extinction probability of host population under the influence of parasites. Obviously, some critical values of prevalence of infection should exist; above theme the host population dies out. Therefore the heaviest prevalence of infection, at which the probability of host population size decreases during the some period is less than probability of that increases or preserves, can serve as an indicator of permissible parasitic pressure on the host population. For its designation the term "parasite capacity of the host population" is proposed. The real parasitic pressure on the host population should be estimated on the comparison with its parasite capacity. Parasite capacity of the host population is the heaviest possible prevalence of infection, at which, with the generation number T approaching infinity, there exists at least one initial population size ni(0) for which the probability of size decrease through T generations is less than the probability of its increase. [formula: see text] The estimation of the probabilities of host population size changes is necessary for the parasite capacity determination. The classical methods for the estimation of extinction probability of population are unsuitable in this case, as these methods require the knowledge of population growth rates and their variances for all possible population sizes. Thus, the development methods of estimate of extinction probability of population, based on the using of available parameters (sex ratio, fecundity, mortality, prevalence of infection PI) is necessary. The population size change can be considered as the Markov process. The probabilities of all changes of population size for a generation in this case are described by a matrix of transition probabilities of Markov process (pi) with dimensions Nmax x Nmax (maximum population size). The probabilities of all possible size changes for T generations can be calculated as pi T. Analyzing the behaviour matrix of transition at various prevalence of infection, it is possible to determine the parasite capacity of the host population. In constructing of the matrix of transition probabilities, should to be taken into account the features the host population and the influence of parasites on its reproductive potential. The set of the possible population size at a generation corresponds to each initial population size. The transition probabilities for the possible population sizes at a generation can be approximated to the binomial distribution. The possible population sizes at a generation nj(t + 1) can be calculated as sums of the number of survived parents N1 and posterities N2; their probabilities--as P(N1) x P(N2). The probabilities of equal sums N1 + N2 and nj(t + 1) > or = Nmax are added. The number of survived parents N1 may range from 0 to (1-PI) x ni(t). The survival probabilities can be estimated for each N1 as [formula: see text] The number of survived posterities N2 may range from 0 to N2max (the maximum number of posterities). N2max is [formula: see text] and the survival probabilities for each N2, is defined as [formula: see text] where [formula: see text], ni(t) is the initial population size (including of males and infected specimens of host), PI is the prevalence of infection, Q1 is the survival probabilities of parents, Pfemales is the frequency of females in the host population, K is the number of posterities per a female, and Q2 is the survival probabilities of posterities. When constructing matrix of transition probabilities of Markov process (pi), the procedure outlined above should be repeated for all possible initial population size. Matrix of transition probabilities for T generations is defined as pi T. This matrix (pi T) embodies all possible transition probabilities from the initial population sizes to the final population sizes and contains a wealth of information by itself. From the practical point of view, however, the plots of the probability of population size decrease are more suitable for analysis. They can be received by summing the probabilities within of lines of matrix from 0 to ni--1 (ni--the population size, which corresponds to the line of the matrix). Offered parameter has the number of advantages. Firstly, it is independent on a view of researcher. Secondly, it has a clear biological sense--this is a limit of prevalence, which is safe for host population. Thirdly, only available parameters are used in the calculation of parasite capacity: population size, sex ratio, fecundity, mortality. Lastly, with the availability of modern computers calculations do not make large labour. Drawbacks of this parameter: 1. The assumption that prevalence of infection, mortality, fecundity and sex ratio are constant in time (the situations are possible when the variability of this parameters can not be neglected); 2. The term "maximum population size" has no clear biological sense; 3. Objective restrictions exist for applications of this mathematical approach for populations with size, which exceeds 1000 specimens (huge quantity of computing operations--order Nmax 3*(T-1), work with very low probabilities). The further evolution of the proposed approach will allow to transfer from the probabilities of size changes of individual populations to be probabilities of size changes of population systems under the influence of parasites. This approach can be used at the epidemiology and in the conservation biology.     

印度小裂绵蚜在土壤中的垂直分布及其种群消长

【目的】印度小裂绵蚜Schizoneurella indica Hille Ris Lambers是在云南昭通苹果上发现的一种新害虫,发生普遍且严重。研究印度小裂绵蚜种群在土壤中的垂直分布及其消长动态是为了掌握其发生与危害特点。【方法】2002—2006年,我们采用盆栽和田间调查的方法对印度小裂绵蚜在土壤中的垂直分布和种群消长开展了研究。【结果】印度小裂绵蚜田间种群数量高峰期主要集中发生在9—12月,5—7月份为其田间种群快速增长期,种群增长率可达200%~273%。印度小裂绵蚜无翅蚜种群在0~30 cm的土壤范围内占总虫量的49.0%,30~60 cm的占27.0%,>60 cm的占24.0%。无翅蚜的各虫龄全年均有发生,冬季以第4龄若虫和无翅成虫为主。有翅蚜的发生全年只有1个时期,为11月上旬至12月下旬。【结论】印度小裂绵蚜田间种群数量全年发生1个高峰期,主要集中在0~30 cm的土壤范围内,随着土壤深度的增加,印度小裂绵蚜种群数量亦逐渐下降。田间有翅蚜虫量极少,较难观察到。     

A note on goodness of fit of a population to Hardy-Weinberg structure.

The test of goodness of fit of a population to Hardy-Weinberg equilibrium given by Levene [2] and Haldane [1] is valid within a widely accepted recipe for testing goodness of fit of a composite hypothesis. The nature of the result of Cannings and Edwards [3] is described. The result was shown to be quite different than they claimed and, although possible of some interest, not relevant to the testing of goodness of fit to Hardy-Weinberg structure.     

Disentangling demographic effects of red deer on chamois population dynamics

Investigating the impact of ecological factors on sex‐ and age‐specific vital rates is essential to understand animal population dynamics and detect the potential for interactions between sympatric species. We used block count data and autoregressive linear models to investigate variation in birth rate, kid survival, female survival, and male survival in a population of Alpine chamois Rupicapra rupicapra rupicapra monitored over 27 years within the Stelvio National Park, Central Italian Alps, as function of climatic variables, density dependence, and interspecific competition with red deer Cervus elaphus. We also used path analysis to assess the indirect effect of deer abundance on chamois growth rate mediated by each demographic parameter. Based on previous findings, we predicted that birth rate at [t] would negatively relate to red deer abundance at year [t − 1]; survival rates between [t] and [t + 1] would negatively relate to red deer abundance at year [t − 1] and to the interactive effect of winter precipitation at [t + 1] and chamois density at [t]. Our results showed that birth rate was positively related to spring–summer precipitation in the previous year, but this effect was hampered by increasing red deer abundance. Kid and female survival rates were negatively related to the combined effect of chamois abundance and winter precipitation. Male and female survival rates were negatively related to lagged red deer abundance. The path analysis supported a negative indirect effect of red deer abundance on chamois growth rate mediated by birth rate and female survival. Our results suggest that chamois population dynamics was largely explained by the synergistic effect of density dependence and winter harshness, as well as by interspecific competition with red deer, whose effects were seemingly stronger on the kid–female segment of the population.     

Natural population migration and the dysentery epidemic process

The complex analysis of materials obtained in different regions and territories of the Far East makes it possible to establish that the natural migration of population affects dysentery morbidity by enhancing the susceptibility of human population to this infection. The internal mechanisms of the influence exerted on morbidity by the natural migration of population is disclosed from the viewpoint of the theory of the self regulation of the epidemic process.     

Anthropological Genetics in the Genomic Era: A Look Back and Ahead

The use of genetic methods and data has a long history in anthropology. Following dramatic growth in anthropological genetic field studies in the 1960s and 1970s, the revolution in molecular genetic methods during the 1980s spurred another period of growth and expansion. The earlier emphasis on examination of the role of alternative evolutionary mechanisms in structuring allele frequency variation within and between populations is reflected today in a renewed focus on unraveling demographic history using highly informative molecular markers. The existence of large, publicly available molecular genetic databases, coupled with advances in analytical methods, makes it possible to tackle a wide variety of problems in human evolution not possible with classical markers and traditional analytical methods, These recent advances will help frame the nature of research in the discipline in the near term. [Keywords; human evolutionary genetics, phylogenetics, molecular markers, genetic variation, population structure]     

Effects of different vertebrate growth factors on primary cultures of hemocytes from the gastropod mollusc,Haliotis tuberculata

Summary— A useful experimental system from primary cultures of hemocytes from Haliotis tuberculata has been established. Six days after initiation of the culture, the viability of hemocytes remained constant as measured by the MTT assay. In addition, hemocytes showed physiological responses as judged by protein and DNA syntheses in response to treatment with vertebrate growth factors. Porcine insulin and human epidermal growth factor (EGF) stimulated [³H]-leucine and [³H]-thymidine incorporation in hemocytes in a dose-dependent manner. No additive effect of insulin and EGF is observed either for [³H]-leucine or for [³H]-thymidine incorporation. The response of primary cultures of abalone hemocytes to vertebrate growth factors confirms their growth potential in vitro and provides a suitable model for further studies on regulation of the control of cellular processes such as cell growth, differentiation and migration in invertebrate cells.     

Pattern of variation in avian population growth rates

A central question in population ecology is to understand why population growth rates differ over time. Here, we describe how the long-term growth of populations is not only influenced by parameters affecting the expected dynamics, for example form of density dependence and specific population growth rate, but is also affected by environmental and demographic stochasticity. Using long-term studies of fluctuations of bird populations, we show an interaction between the stochastic and the deterministic components of the population dynamics: high specific growth rates at small densities r(1) are typically positively correlated with the environmental variance sigma(e)(2). Furthermore, theta, a single parameter describing the form of the density regulation in the theta-logistic density-regulation model, is negatively correlated with r(1). These patterns are in turn correlated with interspecific differences in life-history characteristics. Higher specific growth rates, larger stochastic effects on the population dynamics and stronger density regulation at small densities are found in species with large clutch sizes or high adult mortality rates than in long-lived species. Unfortunately, large uncertainties in parameter estimates, as well as strong stochastic effects on the population dynamics, will often make even short-term population projections unreliable. We illustrate that the concept of population prediction interval can be useful in evaluating the consequences of these uncertainties in the population projections for the choice of management actions.     

The importance of G0 in the site of action of interferon in the cell cycle

It has been suggested that the ‘metabolic event’ controlling the transition of quiescent cells into the proliferating phase is a possible target for the growth inhibitory action of interferon [1]. Direct evidence of this mechanism of action has been hindered by the lack of techniques for the quantification of quiescent cells in a tumor population. The present report applies a recently available technique [2] to investigate more closely the site of interferon action in the G1 part of the cell cycle, and to emphasize that a G0 population is a necessary but not sufficient determinant of a cell line's response to growth inhibition by interferon.     

Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells

Microbial populations show striking diversity in cell growth morphology and lifecycle; however, our understanding of how these factors influence the growth rate of cell populations remains limited. We use theory and simulations to predict the impact of asymmetric cell division, cell size regulation and single-cell stochasticity on the population growth rate. Our model predicts that coarse-grained noise in the single-cell growth rate λ decreases the population growth rate, as previously seen for symmetrically dividing cells. However, for a given noise in λ we find that dividing asymmetrically can enhance the population growth rate for cells with strong size control (between a “sizer” and an “adder”). To reconcile this finding with the abundance of symmetrically dividing organisms in nature, we propose that additional constraints on cell growth and division must be present which are not included in our model, and we explore the effects of selected extensions thereof. Further, we find that within our model, epigenetically inherited generation times may arise due to size control in asymmetrically dividing cells, providing a possible explanation for recent experimental observations in budding yeast. Taken together, our findings provide insight into the complex effects generated by non-canonical growth morphologies.     

Charges of nicotinamide adenine nucleotides and adenylate energy charge as regulatory parameters of the metabolism in Escherichia coli.

Methods for measurements of catabolic reduction charge (defined as NADH/(NADH+NAD+)) and anabolic reduction charge (defined as NADPH/(NADPH + NADP+)) are described using [14C]nicotinamide labeling of Escherichia coli cultures. Together with these parameters the adenylate energy charge (ATP + 1/2ADP)/(ATP + ADP + AMP) was measured using labeling with [2-3H]adenine. These three charges were found under different exponential growth conditions to have values independent of the growth conditions: catabolic reduction charge, 0.05; anabolic reduction charge, 0.45; and adenylate energy charge, 0.9. The charges were examined during interruption of growth primarily affecting catabolism, respiration, or anabolism, leading to changes of the charges. The changes of charges are evaluated as a possible regulation of the metabolic rates utilizing or producing the nucleotides by their respective charges.     

新疆阿克苏地区盐碱地细菌类群多样性及优势菌群分析

【目的】研究新疆阿克苏地区盐碱土样中细菌类群多样性和优势种群,及其与环境因子的相关性。【方法】采用基于16S rDNA的变性梯度凝胶电泳(Denaturing gradient gel electrophoresis,DGGE)、克隆测序和典型相关性分析(CCA)的方法。【结果】优势菌群序列分析表明有29个序列属于未培养的微生物,其他43个序列分属细菌的9个目:粘球菌目(Myxococcales)、假单胞菌目(Pseudomonadales)、根瘤菌目(Rhizobiales)、芽孢杆菌目(Bacillales)、伯克氏菌目(Burkholderiales)、放线菌目(Actinomycetales)、海洋螺菌目(Oceanospirillales)、黄杆菌目(Flavobacteriales)、交替单胞菌目(Alteromonadales),21个属。【结论】新疆阿克苏地区土壤中的微生物丰富度非常高,存在大量的细菌类群,优势菌群不尽相同,盐碱土样中微生物群落结构与环境因子是密切相关的。     

大肠杆菌Small RNA EsrE的转录调控

【背景】大肠杆菌中Small RNA EsrE调控琥珀酸脱氢酶的表达并影响细胞生长,对其调控机制的探究有利于加深EsrE对细胞生长影响的认识。【目的】探究大肠杆菌Small RNA EsrE的转录调控机制。【方法】通过双质粒报告系统筛选转录调控因子,并通过凝胶迁移实验(electrophoretic mobilityshiftassay,EMSA)和qRT-PCR研究方法验证转录调控因子。【结果】双质粒报告系统证明RNA聚合酶亚基σ~(32) (RpoH)上调P_(esrE),β-羟酰-ACP脱水酶(FabZ)下调PesrE。EMSA结果和体内实验显示RpoH结合P_(esrE)片段,FabZ不结合P_(esrE)片段。【结论】RpoH直接结合启动子序列参与调控,FabZ以其他方式间接参与Small RNA EsrE的转录调控。     

Predator population dynamics under a cyclic prey regime: numerical responses,demographic parameters and growth rates

The consequences of cyclic fluctuations in abundance of prey species on predator continue to improve our understanding of the mechanisms behind population regulation. Among predators, vole‐eating raptors usually respond to changes in prey abundance with no apparent time‐lag and therefore contradict predictions from the predator–prey theory. In such systems, the interplay between demographic traits and population growth rate in relation to prey abundance remains poorly studied, yet it is crucial to characterize the link between ecological processes and population changes. Using a mechanistic approach, we assessed the demographic rates associated to the direct and indirect numerical responses of a specialist raptor (Montagu's harrier) to its cyclic prey (common vole), using long term data from two adjacent study sites in France. First‐year survival rates were weakly affected by vole abundance, probably due to the fact that Montagu's harriers are trans‐Saharan migrants and thus escape the vole collapse occurring in autumn–winter. Recruitment of yearling as well as breeding propensity of experienced adult females were strongly affected by vole abundance and at least partially shaped the trajectory of the breeding population. We argued that the strong density dependent signal detected in predator time series was mostly the phenomenological consequence of the positive direct numerical response of harriers to vole abundance. Accounting for this, we proposed a method to assess density dependence in predator relying on a cyclic prey. Finally, the variation in Montagu's harrier population growth rates was best explained by overwinter growth rates of the prey population and to a lesser extent by previous residual predator density.     

On the sustainability of a reintroduced Crested Ibis population in Qinling Mountains,Shaanxi, Central China

Reintroduction projects aim to reestablish a self‐sustaining population of an endangered species within its historical range. Adequate post‐release monitoring by gathering demographic data is important to evaluate the success of a reintroduction. Survival and reproduction rates of a reintroduced population can be compared with a self‐sustaining wild population to evaluate the success of a reintroduction. In early 2007, Nipponia nippon (Crested Ibis) was reintroduced into the Qinling Mountains (Shaanxi, Central China). In this study, we attempt to evaluate the demographic status of the reintroduced population. Age‐specific survival rates of 56 released adults and 77 wild‐born fledglings were estimated using mark‐recapture data obtained from 2007 to 2014. Survival rates for the yearlings (0.599, with 95% confidence interval [CI]: 0.467–0.719) were lower than the estimates from a wild population in Yangxian County, but the survival rates of the adults (0.678, with 95% CI: 0.603–0.745) were similar. The number of breeding pairs gradually increased since 2008, although breeding success (52.5%) was somewhat less than that of the wild population (67.6%). The stochastic estimation of population growth rate (1.084 with 95% CI: 1.069–1.098) and population size (5‐fold increase) estimated from an age‐classified Leslie matrix indicate that the reintroduced population of the Crested Ibis is more likely in regulation phase over the next 25 years. We conclude that the reintroduction of the Crested Ibis in Qinling Mountains has great promise, and progress toward a self‐sustaining population has been made under some interventions. Governments, local communities, and scientists need to facilitate habitat restoration for the long‐term survival of this endangered species.     

Process and measurement errors of population size: their mutual effects on precision and bias of estimates for demographic parameters

Knowing the parameters of population growth and regulation is fundamental for answering many ecological questions and the successful implementation of conservation strategies. Moreover, detecting a population trend is often a legal obligation. Yet, inherent process and measurement errors aggravate the ability to estimate these parameters from population time-series. We use numerical simulations to explore how the lengths of the time-series, process and measurement error influence estimates of demographic parameters. We first generate time-series of population sizes with given demographic parameters for density-dependent stochastic population growth, but assume that these population sizes are estimated with measurement errors. We then fit parameters for population growth, habitat capacity, total error and long-term trends to the ‘measured’ time-series data using non-linear regression. The length of the time-series and measurement error introduce a substantial bias in the estimates for population growth rate and to a lesser degree on estimates for habitat capacity, while process error has little effect on parameter bias. The total error term of the statistical model is dominated by process error as long as the latter is larger than the measurement error. A decline in population size is difficult to document as soon as either error becomes moderate, trends are not very pronounced, and time-series are short (<10–15 seasons). Detecting an annual decline of 1% within 6-year reporting periods, as required for the European Union for the species of Community Interest, appears unachievable.