基于景观结构和空间统计学的区域生态风险分析

以农牧交错带的典型区域——内蒙古翁牛特旗为研究对象,基于景观结构中的景观干扰度指数和景观脆弱度指数构建区域生态风险指数,并借助空间统计学中的空间自相关和半方差分析方法,进行区域生态风险空间分布和梯度变化特征分析,得出如下结论：（1）研究区内的生态风险度存在着一定的正相关关系,并随着粒度增大,呈现出下降的趋势;（2）1985～2000年的15a中,研究区生态环境质量整体有所下降,生态风险指数较高的地区有所增加;（3）研究区内的沙地坨甸区生态风险度高,相邻区域的生态风险度也较高;（4）研究区生态风险指数空间分异的步长都比较大,为410.9km。     

Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics

Comparison of demo‐genetic models using Approximate Bayesian Computation (ABC) is an active research field. Although large numbers of populations and models (i.e. scenarios) can be analysed with ABC using molecular data obtained from various marker types, methodological and computational issues arise when these numbers become too large. Moreover, Robert et al. (Proceedings of the National Academy of Sciences of the United States of America, 2011, 108, 15112) have shown that the conclusions drawn on ABC model comparison cannot be trusted per se and required additional simulation analyses. Monte Carlo inferential techniques to empirically evaluate confidence in scenario choice are very time‐consuming, however, when the numbers of summary statistics (Ss) and scenarios are large. We here describe a methodological innovation to process efficient ABC scenario probability computation using linear discriminant analysis (LDA) on Ss before computing logistic regression. We used simulated pseudo‐observed data sets (pods) to assess the main features of the method (precision and computation time) in comparison with traditional probability estimation using raw (i.e. not LDA transformed) Ss. We also illustrate the method on real microsatellite data sets produced to make inferences about the invasion routes of the coccinelid Harmonia axyridis. We found that scenario probabilities computed from LDA‐transformed and raw Ss were strongly correlated. Type I and II errors were similar for both methods. The faster probability computation that we observed (speed gain around a factor of 100 for LDA‐transformed Ss) substantially increases the ability of ABC practitioners to analyse large numbers of pods and hence provides a manageable way to empirically evaluate the power available to discriminate among a large set of complex scenarios.     

The transport of chloroquine across human erythrocyte membranes is mediated by a simple symmetric carrier

The kinetic properties of the mediated transport of chloroquine in human erythrocytes are investigated. The high rates of translocation across the cell membrane and high adsorbance properties to glass surfaces have led to the development of new techniques for measuring initial rates of transport. Three different methodological procedures are used to accomplish a complete kinetic characterization of the system. All measurements were done at 25°C. Under zero-trans conditions the system displays complete symmetry, the Michaelis constants being 39.2±2.4 μM for influx and 36.6±5.6 μM for efflux. The respective maximal velocities are 206.4±36.0 μM·min^?1 and 190.0±7.8 μM·min^?1. Under equilibrium-exchange conditions the Michaelis constant is 108.6±15.6 μM and the maximal velocity is 630.3±50.4 μM·min^?1. This 3-fold increase in both K and V over the zero-trans values indicates that the rate-limiting step in the transport of chloroquine is the movement of the unloaded carrier. The kinetic data are consistent with the prediction of a simple carrier model.     

Releve ranking based on a sum of squares criterion

Summary When a very large number of phytosociological types have to be compared, a reduction of the number of relevés is desirable. In this paper a method of relevé selection from given phytosociological tables is suggested. The method is based on a sum of squares criterion. The advantage, in comparison with other selection procedures, is that this method provides a means on the basis of which the efficiency of a relevé selection can be objectively measured.Contribution from the Working Group for Data-Processing in Phytosociology, International Society for Vegetation Science.The work was completed at the Department of Plant Sciences of the University of Western Ontario, London, Canada. We wish to thank Prof. L. Orlóci for the hospitality and the helpful discussions. The work was supported by Italian C.N.R., within the project Promozione qualità dell'ambiente subproject Metodologie matematiche e basi di dati.     

The effect of variable environments on polymorphism at loci with several alleles I. A symmetric model

Much of the extant polymorphism has been attributed to spatial and temporal variation among selection regimes. Analysis of models entailing two alleles at a single locus has demonstrated that polymorphism may result from variation among selection regimes which prescribe monomorphism if constant. This relationship is studied in the context of several alleles at a locus.One result which is not valid with only two alleles is that variation among selection regimes which specify polymorphic equilibria may lead to a stable monomorphic equilibrium. The analyses of temporal variation and total panmixia spatial variation among environments show that temporal variation allows the simultaneous stability of equilibrium configurations which cannot be simultaneously stable under total panmixia spatial variation (hard or soft selection). The principle that polymorphism is more readily maintained with spatial than temporal variation is invalidated.Supported in part by Purdue Research Foundation and National Science Foundation (USA) grant MCS-8002227     

Smeagolida,a new order of gymnomorph mollusc from New Zealand based on a new genus and species

Abstract

Smeagol manneringi n.gen. & sp. is erected as the only known representative of a new order, Smeagolida, and is compared with existing gymnomorph orders. The relative ranking of Gymnomorpha, Opisthobranchia, and Pulmonata is discussed, and use of the name Systellommatophora is abandoned. The gymnomorph slugs are interpreted as a polyphyletic assemblage of stem euthyneurans, but subclass Gymnomorpha is retained as a convenient grouping.     

Cooperation is less likely to evolve in a finite population with a highly skewed distribution of family size

In the context of the finitely repeated Prisoner's Dilemma with the possibility of cooperating or defecting each time, the strategy tit-for-tat (TFT) consists in cooperating the first time and copying the strategy previously used by the opponent the next times. Assuming random pairwise interactions in a finite population of always defecting individuals, TFT can be favoured by selection to go to fixation following its introduction as a mutant strategy. We deduce the condition for this to be the case under weak selection in the framework of a general reproduction scheme in discrete time. In fact, we show when and why the one-third rule for the evolution of cooperation holds, and how it extends to a more general rule. The condition turns out to be more stringent when the numbers of descendants left by the individuals from one time-step to the next may substantially differ. This suggests that the evolution of cooperation is made more difficult in populations with a highly skewed distribution of family size. This is illustrated by two examples.     

Calculation of symmetric multimer structures from NMR data using a priori knowledge of the monomer structure, co-monomer restraints, and interface mapping: The case of leucine zippers

Summary NMR studies of symmetric multimers are problematic due to the difficulty in distinguishing between intra-, inter-, and co-monomer (mixed) NOE signals. Previously, one of us described a general calculation strategy called dynamic assignment by which this difficulty can be overcome [Nilges, M. (1993) Proteins, 17, 297–309]. Here we describe extensions to the method for handling many co-monomer NOEs and for taking advantege of prior knowledge of monomer structures. The new protocol was developed for the particularly difficult case of leucine zipper (LZ) homodimers, for which the previous protocol proved inefficient. In addition to the problem of dimer symmetry, LZs have a particularly high proportion of co-monomer NOE signals and a high degree of repetition in sequence and structure, leading to significant spectral overlap. Furthermore, the leucine zipper is a rather extended (as opposed to globular) protein domain; accurately determining such a structure based only on the very short distances obtainable by NMR is clearly a challenge to the NMR structure determination method. We have previously shown that, for LZ homodimers, many of the backbone-backbone NOESY cross peaks can be unambiguously assigned as intra-monomer, enabling approximate monomer structures to be calculated. Using model and experimental data sets, we verified that the new protocol converges to the correct dimer structure. The results show that short-range NMR distance data can be sufficient to define accurately the extended LZ. The protocol has been used to derive a novel solution structure of the c-Jun LZ domain. Based on these calculations, we propose the protocol as a prototype for the general case of symmetric multimers where the monomer structure is known.Abbreviations 3D three-dimensional - GCN4-c crystal structure of the GCN4 LZ homodimer - GCN4-s solution structures of GCN4 - GSYM global symmetry - Jun-m model structure of the Jun LZ homodimer - Jun-s solution structure of Jun - LZ leucine zipper - MFP mean force potential - MDSA molecular dynamical simulated annealing - NCS noncrystallographic symmetry - NOE nuclear Overhauser enhancement - rmsd root-mean-square deviation - vdW van der Waals     

Computation of identity by descent probabilities conditional on DNA markers via a Monte Carlo Markov Chain method

The accurate estimation of the probability of identity by descent (IBD) at loci or genome positions of interest is paramount to the genetic study of quantitative and disease resistance traits. We present a Monte Carlo Markov Chain method to compute IBD probabilities between individuals conditional on DNA markers and on pedigree information. The IBDs can be obtained in a completely general pedigree at any genome position of interest, and all marker and pedigree information available is used. The method can be split into two steps at each iteration. First, phases are sampled using current genotypic configurations of relatives and second, crossover events are simulated conditional on phases. Internal track is kept of all founder origins and crossovers such that the IBD probabilities averaged over replicates are rapidly obtained. We illustrate the method with some examples. First, we show that all pedigree information should be used to obtain line origin probabilities in F2 crosses. Second, the distribution of genetic relationships between half and full sibs is analysed in both simulated data and in real data from an F2 cross in pigs.