基于节点拓扑排序和条件互信息的基因调控网络路径一致性构建算法

为了在构建基因调控网络时能确定网络方向,在基于条件互信息的路径一致性算法PCA-CMI的基础上,利用节点拓扑排序(node ordering,NO)建立了构建调控网络的PCA-CMI-NO算法。为建立这一算法,对图分裂方法加以改进:首先对基因对间的互信息进行筛选,然后按贝叶斯得分对子图排序,根据子图顺序选取不同子图中含相同基因对间边的方向,从而确定基因表达数据中节点的顺序。最后,将节点拓扑排序结果应用于PCA-CMI所构建的网络,获得有向网络,同时,使用条件互信息去除独立关系的边,以提高网络准确率。采用DREAM3数据集,将PCA-CMI-NO算法与有序的K2算法进行对比,验证了算法的优越性。     

生态工业园共生网络的脆弱性

工业生态系统的稳定可持续运行是生态工业园区实现环境效益、经济效益和社会效益的重要保障,对生态工业共生网络脆弱性分析是工业生态学领域值得探讨的重要问题。运用复杂网络理论,从网络拓扑结构出发,论证该工业园具有小世界性和无标度性,为网络脆弱性分析奠定基础;通过攻击负载最大节点,利用网络效率和最大连通子图对网络的脆弱性进行分析,从而衡量节点失效对整个网络造成的破坏性。指出复杂网络在生态工业园共生网络中进一步研究的方向。     

肝癌基因调控网络研究进展

肝癌(Hepatocellular carcinoma,HCC)是我国常见的恶性肿瘤之一。肝癌基因调控网络(HCC regulatory network,HCC GRN)是研究肝癌分子机制的重要途径之一,其节点包括肝癌相关的分子,如mi RNA、TF等,网络的边由节点间相互作用关系构成。基于不同类型的数据构建的肝癌基因调控网络其类型及特征各有不同。综合近年来肝癌基因调控网络研究发现,由TF与mi RNA构建的肝癌转录调控网络更能揭露肝癌关键基因,反映关键基因在调控网络中的扰动情况。整合基因变异信息与调控网络成为研究肝癌基因调控网络的趋势,但相应的研究几乎是空白的。本文从HCC GRN的数据来源、分类及特征,及各类型调控网络的近年研究情况等方面进行综述,并结合相关研究工作对肝癌基因调控网络研究现状进行分析与讨论,对前景进行展望,为这一领域研究工作提供参考。     

人代谢网络巨强连通体的复杂网络分析

采用复杂网络理论分析了人代谢网络的巨强连通体。通过对高质量人代谢网络数据的整理,获取了该网络巨强连通体中的所有代谢反应。用代谢物图表示这些反应形成了一个网络,它包含了256个节点和648条连线。选用模拟退火算法对该网络进行社团结构分析,发现得到的模块具备重要的生物学功能。通过多种不同的中心化方法,分析了该网络的关键节点,并讨论了它们的生物学和理疗意义。     

城市碳代谢过程研究进展

碳代谢过程分析是城市代谢研究的重要环节,而通过土地利用/覆盖的空间调整优化城市碳代谢过程已成为区域可持续发展的关键。利用城市代谢思想,本文综述了城市碳代谢过程核算、碳代谢网络模拟、碳代谢过程与土地利用/覆盖变化关系分析、碳代谢空间格局演替等方面的内容,并指出了当前研究中存在着空间属性表达缺乏、核算/模拟结果较难直接应用于实践调控、自然和社会经济代谢过程难以并重考虑等问题。在此基础上,提出了此领域未来发展预期:(1)基于土地流转,将碳排放/碳吸收垂向流映射到碳存量变化的水平流,以"存量"变化推导出网络"流量"分布,实现节点、流互动关系的空间表达,构建时空维度碳代谢网络模型;(2)强调自然节点在城市碳代谢网络中的重要作用,形成社会经济节点与自然节点并重的生态网络模型,有效服务于城市规划及设计。     

细胞信号网络功能鲁棒的简并性拓扑特征

细胞信号网络对于外界环境的干扰表现出优良的鲁棒性,但是其维持功能鲁棒的内在机制尚未明确,本文研究了细胞信号网络功能鲁棒性的拓扑特征。选择布尔网络模型模拟细胞网络的动态行为,利用网络节点状态的扰动模拟外界环境干扰。基于演化策略探寻不同网络拓扑的功能并分析其在干扰环境下的鲁棒性,采用埃德尔曼提出的基于信息论的计算方法评估网络拓扑的简并度、冗余度和复杂度等拓扑属性,对比分析它们与功能鲁棒度的相关性及作用机理。结果显示,在网络模型的演化过程中,其拓扑简并度与功能鲁棒度显著正相关,相关性水平高于拓扑冗余度与鲁棒度的相关性。并且,随着鲁棒度的提升,网络的节点数和复杂度也随之升高,同样简并度与网络的节点数和复杂度的相关性高于拓扑冗余度与网络的节点数和复杂度的相关性。这说明增加的网络节点以简并的方式同时提高了网络拓扑的鲁棒度和复杂度。因此,细胞网络功能鲁棒性的拓扑特征是简并而不是冗余,简并为解决生物系统的复杂问题提供了有效手段,为人工系统的可靠性设计提供有益的借鉴。     

一种新的无标度网络构建方法及其在基因表达谱模拟上的应用

本文提出一种新的基于重连接方法的无标度网络构建算法．根据重连接方法新节点的调控节点会被重选,重连接概率取决于幂率分布模型参数gamma．用本文算法构建的网络通过微分方程模型来模拟基因表达谱数据,所用的优化算法为GA与PSO．候选节点的选择可以根据已有节点的连接数决定．实验的网络可以用log-log图,模拟的基因表达谱也用微分方程模型来验证效果．每个连接的正确性将会通过实验验证,完整的程序可以通过我们的官方网站获得：http://ccst.jlu.edu.cn/CSBG/ourown/.     

基于微阵列数据的基因网络预测方法研究进展

DNA微阵列技术可同时定量测定成千上万个基因在生物样本中的表达水平,从这一技术获得的全基因组范围表达数据为揭示基因间复杂调控关系提供了可能。研究人员试图通过数学和计算方法来构建遗传互作的模型,这些基因调控网络模型有聚类法、布尔网络、贝叶斯网络、微分方程等。文章对网络重建计算方法的研究现状进行了较为全面的综述,比较了不同模型的优缺点,并对该领域进一步的研究趋势进行了展望。     

武汉城市圈生态网络鲁棒性模拟及稳定性分析

生态网络在不同破坏程度或干扰强度下呈现出不同的鲁棒性,势必造成区域生态系统的稳定性风险。基于武汉城市圈生态网络的构建与识别,建立节点和廊道的重要性评价体系,运用鲁棒模型模拟随机干扰情景下的鲁棒性变化评价生态网络的稳定性特征。结果表明:基于复杂网络理论对武汉城市圈生态网络进行拓扑网络提取,共生成117个节点和189条连接线,重要性等级较高的节点占23.9%,主要分布在研究区中北部区域,重要性较低的节点占节点总数的51.3%,主要分布在研究区的西北和东南地区;采用重力模型判别生态廊道重要性,得到17条重要廊道,28条一般廊道,重要廊道对生态网络的连通性和稳定性具有极大影响;节点数量和重要度对网络的稳定性具有显著影响,当节点失效率低于50%时,生态网络稳定性变化较小,整体处于较高的稳定性;当节点失效率在50%—85%时,生态网络极其不稳定;当节点失效比率达到85%时,生态网络开始瘫痪;依据生态节点和廊道的重要性以及模拟结果,分别提出生态节点保护和廊道建设的差异化管理策略。     

生物无线传感器网络路由算法研究

生物无线传感器网络在通信时,传感器节点会对其邻近的人体组织产生有害的电磁辐射,并由此引出了温度问题.在生物无线传感器网络中,如只考虑节点的能量问题,则可能致使某部分组织因局部温度过高而受到损伤,因此,传统的传感器网络路由算法并不能完全适用.本文基于以上问题提出一种新的簇头转换算法,综合考虑节点的能量、温度等问题,为各节点设定优先级,选择优先级最高的节点作簇头节点.从而使传感器节点邻近组织的温度得到控制,并且各节点的剩余能量也较为均匀.与传统的算法相比,降低了网络节点对人体的损伤,同时延迟了第一个死亡节点的出现.     

Effect of gene conversion on variances of digenic identity measures

The variances and covariances of digenic descent measures are studied for a two-locus model incorporating mutation, gene conversion, recombination, drift, and finite sampling. Gene conversion can occur between allelic pairs of genes or between non-allelic pairs on the same or different gametes within individuals. Most interest therefore centers on pairs of genes, and five digenic identity measures are required. The behavior over time of these measures is studied, with an emphasis on the effects of gene conversion. Because of the stochastic nature of the forces of drift, recombination, mutation, and conversion, the actual identity status of gene pairs can vary from expectation among replicate populations. To study this variation we compute the expected variances and covariances of the measures, and show that this requires the introduction of trigenic and quadrigenic measures. Allowing for conversion between genes on different gametes requires a large number of these higher-order measures.     

New tools for discovering and characterizing microbial diversity

To discover and characterize microbial diversity, approaches based on new sequencing technologies, novel isolation techniques, microfluidics, and metagenomics among others are being used. These approaches have contributed to discovery of novel genes from environmental samples, to massive characterization of functional and phylogenetic genes and to isolation of members of formerly uncultured yet ubiquitous groups like Verrucomicrobia, Acidobacteria, OP10, and methanogenic Archaea. Cheaper sequencing is key in this process by making available applications that were previously restricted to big research centers, complementing previously available methodologies and potentially replacing some of them. The new tools are reshaping the way we study the environment, increasing the resolution at which microbial communities, their complexities and dynamics, can be studied to reveal their genetic potential and their functional diversity.     

Photosynthesis research: advances through molecular biology – the beginnings, 1975–1980s and on...

Restriction endonuclease recognition sites and genes for rRNAs were first mapped on chloroplast chromosomes in 1975–1976. This marked the beginning of the application of molecular biology tools to photosynthesis research. In the first phase, knowledge about proteins involved in photosynthesis was used to identify plastid and nuclear genes encoding these proteins on cloned segments of DNA. Soon afterwards the DNA sequences of the cloned genes revealed the full primary sequences of the proteins. Knowledge of the primary amino acid sequences provided deeper understanding of the functioning of the protein and interactions among proteins of the photosynthetic apparatus. Later, as chloroplast DNA sequencing proceeded, genes were discovered that encoded proteins that had not been known to be part of the photosynthetic apparatus. This more complete knowledge of the composition of reaction centers and of the primary amino acid sequences of individual proteins comprising the reaction centers opened the way to determining the three-dimensional structures of reaction centers. At present, the availability of cloned genes, knowledge of the gene sequences and systems developed to genetically manipulate photosynthetic organisms is permitting experimental inquiries to be made into crucial details of the photosynthetic process. This revised version was published online in August 2006 with corrections to the Cover Date.     

Quantitative expression profile of distinct functional regions in the adult mouse brain

The adult mammalian brain is composed of distinct regions with specialized roles including regulation of circadian clocks, feeding, sleep/awake, and seasonal rhythms. To find quantitative differences of expression among such various brain regions, we conducted the BrainStars (B*) project, in which we profiled the genome-wide expression of ～50 small brain regions, including sensory centers, and centers for motion, time, memory, fear, and feeding. To avoid confounds from temporal differences in gene expression, we sampled each region every 4 hours for 24 hours, and pooled the samples for DNA-microarray assays. Therefore, we focused on spatial differences in gene expression. We used informatics to identify candidate genes with expression changes showing high or low expression in specific regions. We also identified candidate genes with stable expression across brain regions that can be used as new internal control genes, and ligand-receptor interactions of neurohormones and neurotransmitters. Through these analyses, we found 8,159 multi-state genes, 2,212 regional marker gene candidates for 44 small brain regions, 915 internal control gene candidates, and 23,864 inferred ligand-receptor interactions. We also found that these sets include well-known genes as well as novel candidate genes that might be related to specific functions in brain regions. We used our findings to develop an integrated database (http://brainstars.org/) for exploring genome-wide expression in the adult mouse brain, and have made this database openly accessible. These new resources will help accelerate the functional analysis of the mammalian brain and the elucidation of its regulatory network systems.     

Paleontological evidence to date the tree of life

The role of fossils in dating the tree of life has been misunderstood. Fossils can provide good "minimum" age estimates for branches in the tree, but "maximum" constraints on those ages are poorer. Current debates about which are the "best" fossil dates for calibration move to consideration of the most appropriate constraints on the ages of tree nodes. Because fossil-based dates are constraints, and because molecular evolution is not perfectly clock-like, analysts should use more rather than fewer dates, but there has to be a balance between many genes and few dates versus many dates and few genes. We provide "hard" minimum and "soft" maximum age constraints for 30 divergences among key genome model organisms; these should contribute to better understanding of the dating of the animal tree of life.     

THE CONTRIBUTION OF GENE MOVEMENT TO THE “TWO RULES OF SPECIATION”

The two “rules of speciation”—the Large X‐effect and Haldane's rule—hold throughout the animal kingdom, but the underlying genetic mechanisms that cause them are still unclear. Two predominant explanations—the “dominance theory” and faster male evolution—both have some empirical support, suggesting that the genetic basis of these rules is likely multifarious. We revisit one historical explanation for these rules, based on dysfunctional genetic interactions involving genes recently moved between chromosomes. We suggest that gene movement specifically off or onto the X chromosome is another mechanism that could contribute to the two rules, especially as X chromosome movements can be subject to unique sex‐specific and sex chromosome specific consequences in hybrids. Our hypothesis is supported by patterns emerging from comparative genomic data, including a strong bias in interchromosomal gene movements involving the X and an overrepresentation of male reproductive functions among chromosomally relocated genes. In addition, our model indicates that the contribution of gene movement to the two rules in any specific group will depend upon key developmental and reproductive parameters that are taxon specific. We provide several testable predictions that can be used to assess the importance of gene movement as a contributor to these rules in the future.     

基于约束建模法的结核菌H37Rv代谢网络分析

基于结核分枝杆菌国际标准强毒株H37Rv菌株的基因组尺度代谢网络模型iNJ661进行分析,以寻找代谢网络中培养基的关键成分和必要基因.该研究在Matlab平台上利用COBRA工具箱,采用基于约束的建模方法进行动态生长模拟、解空间抽样在酶活性水平上的具体化和基因删除模拟实验.结果发现培养基成分中铵盐、三价铁盐、磷酸盐、硫酸盐、甘油等可影响H37Rv的生长;培养基中去除磷酸盐后十种酶均在不同程度上受到抑制,其中丙糖磷酸异构酶、3-磷酸甘油醛脱氢酶、磷酸甘油酸变位酶、烯醇酶受限明显.通过基因删除得出188个必要基因以及非必要基因中的16个致死基因对.基于约束建模分析可初步了解结核杆菌H37Rv菌株代谢网络的性质,可为后续相关研究提供参考和借鉴.     

The Beanbag Genetics Controversy: Towards a synthesis of opposing views of natural selection

The beanbag genetics controversy can be traced from the dispute between Fisher and Wright, through Mayr's influential promotion of the issue, to the contemporary units of selection debate. It centers on the claim that genic models of natural selection break down in the face of epistatic interactions among genes during phenotypic development. This claim is explored from both a conceptual and a quantitative point of view, and is shown to be defective on both counts.Firstly, an analysis of the controversy's theoretical origins demonstrates that this claim derives from a misinterpretation of the conceptual foundations of Fisher's genetical theory of natural selection, and confounds his fundamentally different concepts of the average excess and average effect of a gene. Secondly, an extension of the genic approach is proposed which models the dynamics of selection among epistatically interacting complexes of many genes. Paradoxically, this preliminary, but fundamentally genic model provides quantitative support for some controversial qualitative claims regarding the evolutionary consequences of strong gene interactions made by opponents of genic selectionism, including Mayr's theory of peripartric speciation. These findings foster hope that the proposed approach may eventually nudge the beanbag controversy out of its conceptual trenches into a more empirically oriented dialogue.