基于编码序列、基因间序列和氨基酸序列构建的系统发生关系比较

以7种古菌、46种细菌和10种真核生物的基因组为样本,考虑碱基间的短程关联和长程关联作用,得到编码序列的密码对和基因间序列的三联体对中不同位点的二核苷酸频率,据此构建了基于编码序列和基因间序列的系统发生关系。无论是基于编码序列还是基因间序列对信息进行聚类,古菌或真核均被聚在一支上,表明聚类参数的选择是合适的;与基于氨基酸序列构建的系统发生关系进行两两比较,发现大部分硬壁菌的编码序列与基因间序列之间,以及编码序列与氨基酸序列之间的进化都存在较大差异。通过分析认为,只有综合考虑这三类序列的进化信息,才可能得到更自然的系统发生关系。     

基于全基因组的系统发生分析

系统发生（phylogeny)是指生物之间的进化关系。系统发生分析就是通过比较物种的特征,研究物种之间的进化关系。本文主要对系统发生分析中,基于全基因组分析的各个特征提取的方法进行了综述。首先阐述了用基于全基因组进行系统发生分析的原因,然后介绍了六种基于全基因组的系统发生分析方法,最后对这些方法的优缺点进行了总结。     

圆网蛛类系统发生与网型进化

本文从妖面蛛总科和园蛛总科系统发生关系、园蛛总科网型不同的蜘蛛间的系统发生关系及蛛网构建行为等几个方面着重介绍了圆网蛛类系统发生及网型进化的研究进展.圆网蛛类系统发生与其网型进化有效地结合、进行综合研究将有助于圆网蛛类的起源及网型多样性的研究.     

甲型流感病毒基因组进化事件检测软件的实现

目的 流感病毒通过跨宿主迁移和基因组重配作用等进化事件引起抗原转换是造成流感大流行的主要原因;传统上利用系统发生树通过进化分析检测这些事件,而进化分析过程复杂并且算法参数较难设定.方法 作者曾提出了一种利用基因型谱检测甲型流感病毒基因组进化事件的新方法,弥补了进化分析的这些缺陷.在本文中,利用C++ Builder开发工具在Windows平台上实现了基因型谱分析方法.结果 利用甲型流感病毒进化事件检测软件,可以快速的检测跨宿主迁移和基因组重配作用等甲型流感病毒基因组进化事件.结论 甲型流感病毒进化事件检测软件可以作为流感病毒疫情监测控制中进化分析的辅助工具,无论在病毒基因组进化的基础研究和疾控实践中都将具有很强的应用价值.     

榕-传粉榕小蜂间的专一性与协同进化

共生体系的长期维持引发了一系列进化问题, 特别是共生双方的相互适应、协同进化成为进化理论的一大挑战。榕和传粉榕小蜂是目前所知的专性最强的共生体系之一, 两者异常丰富的物种组成以及宿主多样的生活型为以上问题的研究提供了理想的体系。早期认为榕与其传粉小蜂间均为狭义协同进化, 一对一原则在该体系中具有普适性。然而近年来发现越来越多的例外, 特别是宿主转移现象在某些地区、某些榕属类群中的普遍存在, 使榕及其传粉小蜂间严格的物种专一性及协同进化发生在物种水平的观点受到质疑, 最近提出了一个新的协同进化模式来解释榕与其传粉小蜂的对应关系。榕与传粉小蜂间的进化模式说明两者间既有狭义的协同进化, 也有发散协同进化关系, 从而导致它们之间物种专一性不同。目前, 两种协同进化模式在该系统中的相对重要性仍存在很大争议, 不同地区、不同榕属类群中两者的物种专一性程度和产生原因可能有很大差异, 榕与传粉榕小蜂系统的复杂性决定了不能将某些地区和某些类群的结论简单扩展, 有关该体系协同进化主导模式的正确评判有待于对不同地区和不同榕属类群对应传粉小蜂的物种组成、来源方式, 以及共生双方的系统发生关系进行更广泛、更深入的研究。     

协同演化概念的发展、使用误区与研究证据

自然选择是生物演化的重要动力,而协同演化的理念使人们认识到,互作物种之间彼此交互的选择也可以驱动物种发生演化.自1964年正式提出以来,协同演化的概念经历了充分的发展与拓展,但使用误区也多种多样;虽然不断有研究验证一些生态互作关系的确是协同演化,但质疑协同演化关系真实性的论断也时有报道.为了理清协同演化概念中存在的认识误区,我们尝试提出避免误区的3条简要准则,即具有互作关系、交互选择、协同系统发生.通过文献计量学分析量化了协同演化概念的发展,显示协同演化概念向非进化生物学领域的迅猛拓展,同时统计结果也揭示了人们对多个易与协同演化概念混淆的术语的使用情况尚在合理的范围.依据生态关系,我们总结了现有的发生协同演化的互作系统及证据;介绍了协同演化的地理镶嵌理论的内容与案例.对协同演化概念的历史梳理、文献计量、证据收集和前沿发展方向的介绍,有助于促进人们对协同演化的深入理解,避免误用术语,期望为后续协同演化方向的研究提供有益的参考.     

植物与草食动物之间的协同适应及进化

通常协同进化是指一个物种 (或种群 )的遗传结构由于回应于另一个物种 (或种群 )遗传结构的变化而发生的相应改变。广义的理解 ,协同进化是相互作用的物种之间的互惠进化。生物之间、特别是植物与草食动物之间的协同适应与进化 ,已经成为生物进化、生态、遗传等学科十分关注的问题 ,可能成为生物学中各学科研究的交汇点或结点。作者具体阐述了 :(1)生物之间协同进化的研究意义 ,包括对生物学与生态学的价值 ;(2 )生物之间协同进化研究的限制或困难 ,诸如时间、研究对象、进化等级尺度和研究方法的限制 ;(3)植物与草食动物之间协同进化的主要研究对象 (系统 ) ,即昆虫传粉系统、昆虫诱导植物反应系统、种子散布系统、以及大型草食动物采食与植物反应系统 ;(4 )植物与草食动物之间协同进化的主要研究内容 ,包括适应特征 (性状 )——物种的可塑性 ,以及适应机制——物种适应过程与策略两个方面 ;(5 )植物与草食动物之间协同进化研究的存在问题及研究方向     

系统比较方法的原理及应用

物种的大部分性状与其系统进化过程相联系,亲缘关系近的物种,其性状差异通常较小.因此在种间或更高分类单元层次研究性状之间的关系,或性状与环境间关系时需要考虑系统进化的影响,以满足常规统计分析对于样本独立性的要求.自20世纪80年代以来国际上已经陆续推出一系列的系统比较方法,其共同原理是:在推断物种间系统关系的基础上,在种间水平上比较,将原本不符合样本独立性的物种性状或环境变量数据,将其转化为适用于常规统计分析方法的彼此独立的数据,然后运用常规统计方法分析,得到排除了系统进化历史影响的物种性状间或者物种性状与环境变量间的关系.首先简单介绍了运用系统比较方法之前的建立系统关系和数据诊断这两个步骤,在此基础上阐述简单独立对比分析、Felsenstein的独立比较方法和自回归方法这3种常用的系统比较方法的基本原理、各自的特点以及它们在生态学、进化生物学等领域的应用.系统比较方法已经获得广泛的应用和认可,发现了应用常规统计分析所没有能发现的问题和规律,但在构建准确反映系统进化过程的系统关系、进化模型的选择等方面仍具有一定的局限性;而生物信息学、生物系统学的发展,以及各种相关软件的开发为系统比较方法的进一步完善发展和更为广泛的应用创造了条件.     

蜡梅比较基因组学及木兰类植物系统进化分析

基于蜡梅（Chimonanthus praecox）及相关植物物种的基因组数据,进行基因家族聚类,估算物种分化时间,并开展有关物种的共线性分析,计算不同类别代表性物种内旁系同源及物种间的直系同源同义替换率（synonymous substitution rate,Ks）,同时基于核苷酸和氨基酸序列的串联法及并联法等多种策略,进行木兰类植物系统进化分析。结果表明,蜡梅科（Calycanthaceae）植物共享了两次全基因组复制（whole-genome duplication,WGD）事件,樟目（Laurales）的共同祖先经历了二倍化事件,木兰类植物未共享WGD事件。长枝吸引（long branch attraction,LBA）会影响系统发育的准确性,消除LBA可使用1以及0和1相位点构建系统发育树。以往对木兰类植物系统发育位置的研究结果不一致,可能是由于系统发育树的构建方法不同、不完全谱系分选（incomplete lineage sorting, ILS）的存在、分类单元取样的局限性,以及木兰类植物在进化早期的快速分化等原因。在充分考虑多种可能影响木兰类植物进化位置多种因素的基础...     

植物内生固氮菌系统发育进化新进展

在植物内生固氮菌系统发育进化关系研究中,常用的方法有形态学与蛋白质水平法、数值分类和自动化鉴定法、化学分类法、分子遗传学方法等。本文简要介绍了常用方法的关键技术,并归纳了它们的优缺点。生物学的研究进入基因组时代后,随着高通量DNA测序技术在微生物学领域应用的迅速发展,全基因组测序被应用到微生物系统发育进化研究中,然而目前并未发现对已测全基因组序列的植物内生固氮菌进行系统总结。本文在对已测序植物内生固氮菌进行归纳的基础上,又详细研究了基于基因组数据的几种具有代表性的新方法(ANI分析法、最大唯一匹配指数法、核心基因组分析、组分矢量法、基因流动性分析),并结合目前系统发育进化研究常用方法,对植物内生固氮菌系统发育进化研究趋势进行总结和展望,旨在使植物内生固氮菌的系统发育进化关系研究在精确度、可靠性等方面有所突破。     

被子植物花的起源:假说和证据

达尔文的 令人讨厌之谜 ,即被子植物的起源和早期演化 ,一直是植物系统学研究领域的热点 .被子植物区别于其它植物类群的一个显著特征就是花 ,因此 ,解决被子植物的起源之谜很大程度上取决于对被子植物花器官起源的研究 .对被子植物花器官的详尽研究已经在形态、解剖、古植物、形态发生、分子等方面积累了大量的证据 ,植物学家基于这些证据为被子植物花器官的起源提出了各种各样的解释 .综述了迄今为止被子植物花器官起源的主要学说流派 ,如 :真花学说、假花学说、生殖叶学说、生殖茎节学说、生花植物学说、新假花学说、古草本学说和 ANITA学说等 .根据研究手段和获得证据的方式 ,作者将被子植物花器官起源研究划分为 5个阶段 ,并简要阐述了各个阶段的代表学说和主要研究特点     

A Posteriori and a Priori Methodologies for Testing Hypotheses of Causal Processes in Vicariance Biogeography

Methods used in vicariance biogeography fall into the categories of a posteriori methods (e.g., Component Compatibility Analysis and Brooks Parsimony Analysis) and a priori methods (e.g., Component Analysis, Reconciled Tree Analysis, and Three Area Statement Analysis). Each category corresponds to a particular methodology that arrives at general area cladograms by testing null hypotheses in a particular way. A posteriori methods assume the process of vicariance only (A0) as a common cause of the distribution of different monophyletic groups of taxa under the null hypothesis. Whenever a parsimony analysis of combined data from these monophyletic groups results in a general area cladogram with homoplasy, the null hypothesis is rejected and extinction and dispersal are invoked a posteriori as ad hoc process explanations. A priori methods assume not only vicariance (A0) but also combinations of vicariance with the processes of extinction (A1) and dispersal (A2) as possible causes of the distribution of the taxa of different monophyletic groups. Each assumed set of processes corresponds to a different null hypothesis. Under the assumption of independence and thus additivity of the processes involved, the sets of area cladograms obtained under A0, A1, and A2 from data of each monophyletic group must be inclusive (requirement I). Whenever no congruent area cladograms are found in the intersection of sets of area cladograms derived under the same assumption for different monophyletic groups (II), the corresponding null hypothesis is rejected.     

Evolution of genes and repeats in the Nimrod superfamily

The recently identified Nimrod superfamily is characterized by the presence of a special type of EGF repeat, the NIM repeat, located right after a typical CCXGY/W amino acid motif. On the basis of structural features, nimrod genes can be divided into three types. The proteins encoded by Draper-type genes have an EMI domain at the N-terminal part and only one copy of the NIM motif, followed by a variable number of EGF-like repeats. The products of Nimrod B-type and Nimrod C-type genes (including the eater gene) have different kinds of N-terminal domains, and lack EGF-like repeats but contain a variable number of NIM repeats. Draper and Nimrod C-type (but not Nimrod B-type) proteins carry a transmembrane domain. Several members of the superfamily were claimed to function as receptors in phagocytosis and/or binding of bacteria, which indicates an important role in the cellular immunity and the elimination of apoptotic cells. In this paper, the evolution of the Nimrod superfamily is studied with various methods on the level of genes and repeats. A hypothesis is presented in which the NIM repeat, along with the EMI domain, emerged by structural reorganizations at the end of an EGF-like repeat chain, suggesting a mechanism for the formation of novel types of repeats. The analyses revealed diverse evolutionary patterns in the sequences containing multiple NIM repeats. Although in the Nimrod B and Nimrod C proteins show characteristics of independent evolution, many internal NIM repeats in Eater sequences seem to have undergone concerted evolution. An analysis of the nimrod genes has been performed using phylogenetic and other methods and an evolutionary scenario of the origin and diversification of the Nimrod superfamily is proposed. Our study presents an intriguing example how the evolution of multigene families may contribute to the complexity of the innate immune response.     

Calculating independent contrasts for the comparative study of substitution rates

Phylogenetic comparative methods have been used to study patterns of correlated evolution between biological traits of all kinds, and are increasingly used to identify predictors of the rate of DNA substitution. Substitution rate differs from most traits studied in that it cannot be observed directly, but must be inferred from substitutions accrued over a long period of time. Studying a mathematical model of trait and rate evolution, we show that the special nature of substitution rates can lead to a severe loss of power for standard comparative methods. We further show how strategies designed to maximise power, by increasing the number of data points, can have the opposite effect when substitution rate is involved. We then propose two modifications of the standard methods that can mitigate these problems. First, we show how pre-existing tests for homogeneity of variance can be used to identify and exclude those data from which changes in substitution rate cannot be reliably inferred. Second, we show that power can be increased by comparing substitution rate with the time average of the predictor trait along the history of the lineage, and introduce a maximum likelihood estimator of this quantity.     

5S rRNA-derived and tRNA-derived SINEs in fruit bats

Most short retroposons (SINEs) descend from cellular tRNA of 7SL RNA. Here, four new SINEs were found in megabats (Megachiroptera) but neither in microbats nor in other mammals. Two of them, MEG-RS and MEG-RL, descend from another cellular RNA, 5S rRNA; one (MEG-T2) is a tRNA-derived SINE; and MEG-TR is a hybrid tRNA/5S rRNA SINE. Insertion locus analysis suggests that these SINEs were active in the recent fruit bat evolution. Analysis of MEG-RS and MEG-RL in comparison with other few 5S rRNA-derived SINEs demonstrates that the internal RNA polymerase III promoter is their most invariant region, while the secondary structure is more variable. The mechanisms underlying the modular structure of these and other SINEs as well as their variation are discussed. The scenario of evolution of MEG SINEs is proposed.     

A multiple peak adaptive landscape based on feeding strategies and roosting ecology shaped the evolution of cranial covariance structure and morphological differentiation in phyllostomid bats

We explored the evolution of morphological integration in the most noteworthy example of adaptive radiation in mammals, the New World leaf‐nosed bats, using a massive dataset and by combining phylogenetic comparative methods and quantitative genetic approaches. We demonstrated that the phenotypic covariance structure remained conserved on a broader phylogenetic scale but also showed a substantial divergence between interclade comparisons. Most of the phylogenetic structure in the integration space can be explained by splits at the beginning of the diversification of major clades. Our results provide evidence for a multiple peak adaptive landscape in the evolution of cranial covariance structure and morphological differentiation, based upon diet and roosting ecology. In this scenario, the successful radiation of phyllostomid bats was triggered by the diversification of dietary and roosting strategies, and the invasion of these new adaptive zones lead to changes in phenotypic covariance structure and average morphology. Our results suggest that intense natural selection preceded the invasion of these new adaptive zones and played a fundamental role in shaping cranial covariance structure and morphological differentiation in this hyperdiverse clade of mammals. Finally, our study demonstrates the power of combining comparative methods and quantitative genetic approaches when investigating the evolution of complex morphologies.     

Putting the ‘bio’ into bioinformatics

Bioinformatic analyses have grown rapidly in sophistication and efficiency to accommodate the vast increase in available data. One of the major challenges has been to incorporate the growing appreciation of the complexity of molecular evolution into new analytical methods. As the reliance on molecular data in biology and medicine increases, we need to be confident that these methods adequately reflect the underlying processes of genome change. This special issue focuses on the way that patterns and processes of molecular evolution are influenced by features of populations of whole organisms, such as selection pressure, population size and life history. The advantage of this approach to molecular evolution is that it views genomic change not simply as a biochemical or stochastic process, but as the result of a complex series of interactions that shape the kinds of genomic changes that can and do happen.     

Evolutionary physiology by data of publications for 1965–2005

Evolutionary physiology as independent direction of physiology was formed in the XX century and was rapidly developing in its second half. To evaluate some tendencies of this process, we analyzed publications in Journal of Evolutionary Biochemistry and Physiology, one of the leading specialized periodicals on this problem. Analysis of works published for 4 decades has shown that the majority of papers deals with study of evolution of function of the nervous system (40–60 papers per year), less papers concern study of functions of sensory and visceral systems (20–30 per year). Among the used method, the most widely spread is the comparative-physiological method. By the end of the 1990s the number of works with use of methods of embryophysiology decreased. In the performed studies, predominant are physiological methods. Use of biochemical methods decreased, while of methods of molecular biology increased. The most often used objects of studies were mammals. By the end of the XX—beginning of the XXI century, in the greater number of papers the object of study has become human, while the number of publications in which experiments were performed on amphibians, reptiles, and birds decreased. More than a half of all works were carried out in St. Petersburg (Leningrad); the number of papers submitted from Moscow institutions gradually decreased, but the number of works from regions of Russia rose. Most studies were performed at institutes of the Russian Academy of Sciences and universities, while the number of papers from institutes of the Russian Academy of Medical Sciences decreased. For the last few years, several generalizations on evolution of functions and functional evolution have been formulated; handbooks and monographs on problems of evolutional physiology have been published.     

On inconsistency of the neighbor-joining, least squares, and minimum evolution estimation when substitution processes are incorrectly modeled

Using analytical methods, we show that under a variety of model misspecifications, Neighbor-Joining, minimum evolution, and least squares estimation procedures are statistically inconsistent. Failure to correctly account for differing rates-across-sites processes, failure to correctly model rate matrix parameters, and failure to adjust for parallel rates-across-sites changes (a rates-across-subtrees process) are all shown to lead to a "long branch attraction" form of inconsistency. In addition, failure to account for rates-across-sites processes is also shown to result in underestimation of evolutionary distances for a wide variety of substitution models, generalizing an earlier analytical result for the Jukes-Cantor model reported in Golding and a similar bias result for the GTR or REV model in Kelly and Rice (1996). Although standard rates-across-sites models can be employed in many of these cases to restore consistency, current models cannot account for other kinds of misspecification. We examine an idealized but biologically relevant case, where parallel changes in rates at sites across subtrees is shown to give rise to inconsistency. This changing rates-across-subtrees type model misspecification cannot be adjusted for with conventional methods or without carefully considering the rate variation in the larger tree. The results are presented for four-taxon trees, but the expectation is that they have implications for larger trees as well. To illustrate this, a simulated 42-taxon example is given in which the microsporidia, an enigmatic group of eukaryotes, are incorrectly placed at the archaebacteria-eukaryotes split because of incorrectly specified pairwise distances. The analytical nature of the results lend insight into the reasons that long branch attraction tends to be a common form of inconsistency and reasons that other forms of inconsistency like "long branches repel" can arise in some settings. In many of the cases of inconsistency presented, a particular incorrect topology is estimated with probability converging to one, the implication being that measures of uncertainty like bootstrap support will be unable to detect that there is a problem with the estimation. The focus is on distance methods, but previous simulation results suggest that the zones of inconsistency for distance methods contain the zones of inconsistency for maximum likelihood methods as well.     

Trait-dependent diversification and the impact of palaeontological data on evolutionary hypothesis testing in New World ratsnakes (tribe Lampropeltini)

For studies investigating trait evolution, there are at least two important questions. First, have traits under consideration influenced cladogenesis and extinction in the group? Second, how do fossil data alter inferences about trait evolution or diversification‐rate dynamics? However, relatively few studies have assessed these questions. Here, we use recently developed methods to test for trait‐dependent diversification in the New World colubrid snake tribe Lampropeltini. We also integrate data from fossil taxa into phylogenetic estimation of evolutionary parameters using a simple Monte Carlo randomization test. These analyses suggest that ecological conditions in temperate regions are tied to higher rates of cladogenesis, but that body size is not related to diversification in the group. We also find that the inclusion of fossil taxa alters absolute estimates of size and the rate of size evolution, but not the overall pattern of ecomorphological diversification, as well as estimates of evolutionary rates, particularly extinction.