Liana co‐occurrence patterns in a temperate rainforest

Questions: Are liana–host interactions structured at the community level? Do liana–host interactions differ between species, growth form guilds or habitats? Location: Otari‐Wilton's Bush, on the southern tip of North Island, New Zealand. The forest contains 75 ha of mature and regenerating conifer–broadleaf forest. Methods: Nine liana species were quantified among 217 trees to test for negative co‐occurrence patterns. We also conducted additional analyses within and among compartments embedded in the community‐level matrix. Liana and host abundance distributions were assessed across two contrasting habitats. Results: Community‐level analyses revealed negative co‐occurrence patterns. Positive, neutral and negative co‐occurrence patterns were found among compartments within the community‐level matrix. Host species compartments were consistent with randomized expectations, while positive co‐occurrence patterns were found within the host species matrix. Negative co‐occurrence patterns were found inconsistently among lianas that share the same region of host space, and those that do not. Conclusions: Overall, results indicate the liana community is structured non‐randomly. Liana–host interactions appear to follow an opportunistic growth strategy and interactions are due mostly to habitat partitioning.     

封闭负压引流联合局部给氧治疗兔耳缺血性创面的实验研究

目的：观察封闭负压引流联合局部给氧促进兔耳缺血性创面愈合的效果。方法：28只大耳白兔,双耳背各造成直径2．5cm全层皮肤缺损,结扎中央血管神经束及后边缘动静脉,形成缺血创面。56个创面随机分为七组：A组（-50mmHg负压同时给氧,浓度为40％±5％,每日4小时）、B组（持续-50mmHg负压4小时继之局部给氧l小时）、c组（负压治疗4min,停止1min,每日4小时,之后给氧1小时）,D组（．50mrnHg负压治疗每日4小时）、E组（-125rnmHg负压治疗每日4小时）、F组（单纯给40％±5％氧l小时）和G组（空白对照）。在创面形成第0、1、3、5、7、10、14、18天拍照,测量创面面积,计算创面愈合率及创面愈合时间;在各时相点切取创面标本,组织学观察创面肉芽、上皮生长、水肿和炎细胞,Ki67免疫组化标记增殖细胞并计算增殖指数,TUNEL法计算凋亡指数。结果：负压给氧组在相同时相点创面愈合率高于单纯负压、氧疗或空白组（P〈0．05）,创面肉芽生长快,水肿和炎症轻,细胞增殖指数高于对照组（P〈0．05）,而细胞凋亡指数显著低于对照组（P〈0．05）。结论：负压联合局部给氧能显著促进兔耳缺血创面的愈合。     

Modeling allosteric regulation of de novo pyrimidine biosynthesis in Escherichia coli

With the emergence of multifaceted bioinformatics-derived data, it is becoming possible to merge biochemical and physiological information to develop a new level of understanding of the metabolic complexity of the cell. The biosynthetic pathway of de novo pyrimidine nucleotide metabolism is an essential capability of all free-living cells, and it occupies a pivotal position relative to metabolic processes that are involved in the macromolecular synthesis of DNA, RNA and proteins, as well as energy production and cell division. This regulatory network in all enteric bacteria involves genetic, allosteric, and physiological control systems that need to be integrated into a coordinated set of metabolic checks and balances. Allosterically regulated pathways constitute an exciting and challenging biosynthetic system to be approached from a mathematical perspective. However, to date, a mathematical model quantifying the contribution of allostery in controlling the dynamics of metabolic pathways has not been proposed. In this study, a direct, rigorous mathematical model of the de novo biosynthesis of pyrimidine nucleotides is presented. We corroborate the simulations with experimental data available in the literature and validate it with derepression experiments done in our laboratory. The model is able to faithfully represent the dynamic changes in the intracellular nucleotide pools that occur during metabolic transitions of the de novo pyrimidine biosynthetic pathway and represents a step forward in understanding the role of allosteric regulation in metabolic control.     

Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter

We derive a first-order bias-corrected maximum likelihood estimator for the negative binomial dispersion parameter. This estimator is compared, in terms of bias and efficiency, with the maximum likelihood estimator investigated by Piegorsch (1990, Biometrics46, 863-867), the moment and the maximum extended quasi-likelihood estimators investigated by Clark and Perry (1989, Biometrics45, 309-316), and a double-extended quasi-likelihood estimator. The bias-corrected maximum likelihood estimator has superior bias and efficiency properties in most instances. For ease of comparison we give results for the two-parameter negative binomial model. However, an example involving negative binomial regression is given.     

On criteria for evaluating models of absolute risk

Absolute risk is the probability that an individual who is free of a given disease at an initial age, a, will develop that disease in the subsequent interval (a, t]. Absolute risk is reduced by mortality from competing risks. Models of absolute risk that depend on covariates have been used to design intervention studies, to counsel patients regarding their risks of disease and to inform clinical decisions, such as whether or not to take tamoxifen to prevent breast cancer. Several general criteria have been used to evaluate models of absolute risk, including how well the model predicts the observed numbers of events in subsets of the population ("calibration"), and "discriminatory power," measured by the concordance statistic. In this paper we review some general criteria and develop specific loss function-based criteria for two applications, namely whether or not to screen a population to select subjects for further evaluation or treatment and whether or not to use a preventive intervention that has both beneficial and adverse effects. We find that high discriminatory power is much more crucial in the screening application than in the preventive intervention application. These examples indicate that the usefulness of a general criterion such as concordance depends on the application, and that using specific loss functions can lead to more appropriate assessments.     

On the functional role of Arg172 in substrate binding and allosteric transition in Escherichia coli glucosamine-6-phosphate deaminase

Glucosamine-6-phosphate deaminase from Escherichia coli (EC 3.5.99.6) is an allosteric enzyme, activated by N-acetylglucosamine 6-phosphate, which converts glucosamine-6-phosphate into fructose 6-phosphate and ammonia. X-ray crystallographic structural models have showed that Arg172 and Lys208, together with the segment 41-44 of the main chain backbone, are involved in binding the substrate phospho group when the enzyme is in the R activated state. A set of mutants of the enzyme involving the targeted residues were constructed to analyze the role of Arg172 and Lys208 in deaminase allosteric function. The mutant enzymes were characterized by kinetic, chemical, and spectrometric methods, revealing conspicuous changes in their allosteric properties. The study of these mutants indicated that Arg172 which is located in the highly flexible motif 158-187 forming the active site lid has a specific role in binding the substrate to the enzyme in the T state. The possible role of this interaction in the conformational coupling of the active and the allosteric sites is discussed.     

Elucidation of T cell signalling models

A potential mechanism that allows T cells to reliably discriminate pMHC ligands involves an interplay between kinetic proofreading, negative feedback and a destruction of this negative feedback. We analyse a detailed model of these mechanisms which involves the TCR, SHP1 and ERK. We discover that the behaviour of pSHP1 negative feedback is of primary importance, and particularly the influence of a kinetic proofreading base negative feedback state on pSHP1 dynamics. The CD8 co-receptor is shown to benefit from a kinetic proofreading locking mechanism and is able to overcome pSHP1 negative influences to sensitise a T cell.     

Structural Requirements of the Photoreceptor Phosphodiesterase ��-Subunit for Inhibition of Rod PDE6 Holoenzyme and for Its Activation by Transducin

The central enzyme of the visual transduction cascade, cGMP phosphodiesterase (PDE6), is regulated by its γ-subunit (Pγ), whose inhibitory constraint is released upon binding of activated transducin. It is generally believed that the last four or five C-terminal amino acid residues of Pγ are responsible for blocking catalysis. In this paper, we showed that the last 10 C-terminal residues (Pγ78–87) are the minimum required to completely block catalysis. The kinetic mechanism of inhibition by the Pγ C terminus depends on which substrate is undergoing catalysis. We also discovered a second mechanism of Pγ inhibition that does not require this C-terminal region and that is capable of inhibiting up to 80% of the maximal cGMP hydrolytic rate. Furthermore, amino acids 63–70 and/or the intact α2 helix of Pγ stabilize binding of C-terminal Pγ peptides by 100-fold. When PDE6 catalytic subunits were reconstituted with portions of the Pγ molecule and tested for activation by transducin, we found that the C-terminal region (Pγ63–87) by itself could not be displaced but that transducin could relieve inhibition of certain Pγ truncation mutants. Our results are consistent with two distinct mechanisms of Pγ inhibition of PDE6. One involves direct interaction of the C-terminal residues with the catalytic site. A second regulatory mechanism may involve binding of other regions of Pγ to the catalytic domain, thereby allosterically reducing the catalytic rate. Transducin activation of PDE6 appears to require interaction with both the C terminus and other regions of Pγ to effectively relieve its inhibitory constraint.     

Allosteric Inhibition of the Epithelial Na+ Channel through Peptide Binding at Peripheral Finger and Thumb Domains

The epithelial Na⁺ channel (ENaC) mediates the rate-limiting step in transepithelial Na⁺ transport in the distal segments of the nephron and in the lung. ENaC subunits are cleaved by proteases, resulting in channel activation due to the release of inhibitory tracts. Peptides derived from these tracts inhibit channel activity. The mechanism by which these intrinsic inhibitory tracts reduce channel activity is unknown, as are the sites where these tracts interact with other residues within the channel. We performed site-directed mutagenesis in large portions of the predicted periphery of the extracellular region of the α subunit and measured the effect of mutations on an 8-residue inhibitory tract-derived peptide. Our data show that the inhibitory peptide likely binds to specific residues within the finger and thumb domains of ENaC. Pairwise interactions between the peptide and the channel were identified by double mutant cycle experiments. Our data suggest that the inhibitory peptide has a specific peptide orientation within its binding site. Extended to the intrinsic inhibitory tract, our data suggest that proteases activate ENaC by removing residues that bind at the finger-thumb domain interface.