生态基因组学导论（注解版）

本书介绍了一个非常前沿的领域——生态基因组学。这门学科将基因组学的研究手段和方法引入生态学领域,从基因组学的角度考察了三个生态学的基本问题：生态系统中群落的结构和功能、不同的生活史类型和变异以及生态位的界定。     

基因组时代生态-遗传学科交叉的现状与前景

生态学与遗传学的学科交叉首先建立在种群概念基础上,文献统计表明,目前这方面的研究以揭示种群遗传结构的形成和维持机制为主要方向,同时开始注重关键生化途径与环境适应之间的关系。基因组学的快速发展,为系统研究生理代谢在生态适应过程中的作用提供了可能性。分离具有重要生态学意义的基因,并对比近缘类群中基因表达模式的差异成为生态 遗传学科交叉的新生长点。在对研究实例进行分析后提出了此类研究的特点,同时从研究思路、分析方法和研究侧重点方面讨论了生态学在新学科交叉领域中所具有的重要价值。     

表型可塑性变异的生态-发育机制及其进化意义

表型可塑性赋予生物个体在不同环境条件下通过产生不同表型来维持其适合度的能力.研究结果显示多数可塑性变异的产生是基于对环境变异信号的响应、改变基因表达式样并调整发育轨迹的结果,表观遗传调控体系在基因选择性表达和可塑性变异的跨世代传递过程中发挥了重要作用.不同物种和种群对环境变化的敏感性、发生可塑性变异的能力以及可塑性反应模式不尽相同,预示着控制可塑性能力并独立于控制性状的可塑性基凶的存在,这些基因是直接响应环境信号并控制表型表达的调控基因.表型可塑性不仅是物种适应性进化的一个重要方面,也是选择进化的产物,物种的表型可塑性变异对其生态适应和进化模式有深远的影响.     

生态表观遗传学的研究进展

生态表观遗传学是一门利用表观遗传学的理论知识研究个体表型可塑性、生态互作和不同生境下种群分化、环境适应、物种进化等生态学现象的科学。目前,从分子层面阐明表观遗传机制的研究越来越多,但随着研究体系的逐渐扩大,研究者发现,环境的改变对表观遗传修饰同样发挥重要的作用。高通量测序技术的进步和数学模型的广泛应用为研究表观遗传学在生态环境与物种进化方面所起的作用提供了新的研究思路和方法。本综述回顾了近年来生态表观遗传学最新的实验研究和理论观点,并展望了生态表观遗传学未来的发展前景。     

环境微生物群落结构与功能多样性研究方法

微生物群落的结构及群落内种间相互作用是影响其生态功能的决定性因素。尽管微生物群落是地球生物化学循环的主要驱动者,但是由于传统的微生物培养方法只能分离约1%10%的环境微生物,对复杂的环境微生物群落结构和功能多样性了解甚少。元基因组学、单细胞分析和群落遗传学等方法的出现,及其与微生物学的交叉融合,使得人们能够从微生物群落组成、物种功能、种间相互作用和预测模型等方面分析微生物群落。重点综述了元基因组学、单细胞分析和群落遗传学等方法及其在环境微生物群落结构和功能多样性中的应用进展。     

景观遗传学原理及其在生境片断化遗传效应研究中的应用

景观遗传学是近年来在景观生态学和种群遗传学之间形成的一个交叉领域,强调景观的组成、空间构型和环境梯度对基因流、种群遗传空间结构和局域种群适应的影响。景观遗传学尚未成为一门独立的学科,其理论基础主要来自分子遗传学、种群生物学和景观生态学。现代分子遗传标记技术、遥感和GIS支持下的景观分析和空间统计方法的综合运用是景观遗传学主要研究途径。系统介绍了景观遗传学的基础概念,关键科学问题,基本理论框架,及其与相邻研究领域的关系,综述了景观遗传学最为关注的现实课题——景观碎裂化的种群遗传效应的研究进展,主要涉及生境片断化的遗传效应、不同属性的物种响应、以及生境片断化过程的选择作用等方面。通过采取一种跨尺度的视角,景观遗传学研究显著深化了关于景观碎裂化对生物多样性影响的理解。     

主要禾谷类作物比较基因组学研究策略与进展

随着拟南芥、水稻等模式植物基因组测序计划的完成, 比较基因组学作为一门新兴学科, 近年来发展迅速, 为植物基因组的进化、结构和功能研究开辟了新的途径。文章综述了比较基因组学在作物比较遗传作图、基因结构区域的微共线性、ESTs和蛋白质水平的比较以及基于比较基因组学的基因和QTL的克隆等方面内容与研究进展, 分析了不同水平上比较基因组学研究策略的原理、特点、可行性, 以期为利用模式生物的基因和基因组数据、采用比较基因组学策略克隆作物重要性状功能基因、阐明基因组结构与进化提供帮助。     

进化生态学一生态与进化的交叉整合

进化生态学是生态学的一个分支,主要关注的是生物如何进化而适应于它们所处的环境：这里,环境一词即包括光照、水分、温度和养分等物理环境也包括与同种和其他种的相互作用（生物环境）。进化生态学不仅研究环境施加的选择压力,而且还要探讨生物对这些选择压力的进化响应。     

进化生态学—生态与进化的交叉整合

进化生态学是生态学的一个分支,主要关注的是生物如何进化而适应于它们所处的环境;这里,环境一词即包括光照、水分、温度和养分等物理环境也包括与同种和其他种的相互作用(生物环境).进化生态学不仅研究环境施加的选择压力,而且还要探讨生物对这些选择压力的进化响应.     

生物多样性理论最新进展

生物多样性是生态系统复杂性的重要特征, 理解多样性的形成和维持机制一直是理论生态学研究的核心议题。本文从三方面概述了生物多样性理论的最新进展。一是物种共存和群落构建, 总结了现代共存理论和基于过程的群落构建理论的新进展。二是物种相互作用, 综述了利用经验数据推断物种相互作用关系和强度的最新方法。三是生态-进化动态, 介绍了生态-进化模型的一般框架及其在生物多样性研究中的应用。最后对生物多样性理论的发展趋势做了展望, 特别是多尺度整合理论和全球变化下的预测理论。     

Evolutionary and ecological genomics of non-model plants

Dissecting evolutionary dynamics of ecologically important traits is a long-term challenge for biologists.Attempts to understand natural variation and molecular mechanisms have motivated a move from laboratory model systems to non-model systems in diverse natural environments.Next generation sequencing methods,along with an expansion of genomic resources and tools,have fostered new links between diverse disciplines,including molecular biology,evolution,ecology,and genomics.Great progress has been made in a few non-model wild plants,such as Arabidopsis relatives,monkey flowers,and wild sunflowers.Until recently,the lack of comprehensive genomic information has limited evolutionary and ecological studies to larger QTL (quantitative trait locus) regions rather than single gene resolution,and has hindered recognition of general patterns of natural variation and local adaptation.Further efforts in accumulating genomic data and developing bioinformatic and biostatistical tools are now poised to move this field forward.Integrative national and international collaborations and research communities are needed to facilitate development in the field of evolutionary and ecological genomics.     

Testing the ecological consequences of evolutionary change using elements

Understanding the ecological consequences of evolutionary change is a central challenge in contemporary biology. We propose a framework based on the ~25 elements represented in biology, which can serve as a conduit for a general exploration of poorly understood evolution‐to‐ecology links. In this framework, known as ecological stoichiometry, the quantity of elements in the inorganic realm is a fundamental environment, while the flow of elements from the abiotic to the biotic realm is due to the action of genomes, with the unused elements excreted back into the inorganic realm affecting ecological processes at higher levels of organization. Ecological stoichiometry purposefully assumes distinct elemental composition of species, enabling powerful predictions about the ecological functions of species. However, this assumption results in a simplified view of the evolutionary mechanisms underlying diversification in the elemental composition of species. Recent research indicates substantial intraspecific variation in elemental composition and associated ecological functions such as nutrient excretion. We posit that attention to intraspecific variation in elemental composition will facilitate a synthesis of stoichiometric information in light of population genetics theory for a rigorous exploration of the ecological consequences of evolutionary change.     

Adaptation genomics: the next generation

Understanding the genetics of how organisms adapt to changing environments is a fundamental topic in modern evolutionary ecology. The field is currently progressing rapidly because of advances in genomics technologies, especially DNA sequencing. The aim of this review is to first briefly summarise how next generation sequencing (NGS) has transformed our ability to identify the genes underpinning adaptation. We then demonstrate how the application of these genomic tools to ecological model species means that we can start addressing some of the questions that have puzzled ecological geneticists for decades such as: How many genes are involved in adaptation? What types of genetic variation are responsible for adaptation? Does adaptation utilise pre-existing genetic variation or does it require new mutations to arise following an environmental change?     

Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits

A central challenge in evolutionary biology is to identify genes underlying ecologically important traits and describe the fitness consequences of naturally occurring variation at these loci. To address this goal, several novel approaches have been developed, including 'population genomics,' where a large number of molecular markers are scored in individuals from different environments with the goal of identifying markers showing unusual patterns of variation, potentially due to selection at linked sites. Such approaches are appealing because of (1) the increasing ease of generating large numbers of genetic markers, (2) the ability to scan the genome without measuring phenotypes and (3) the simplicity of sampling individuals without knowledge of their breeding history. Although such approaches are inherently applicable to non-model systems, to date these studies have been limited in their ability to uncover functionally relevant genes. By contrast, quantitative genetics has a rich history, and more recently, quantitative trait locus (QTL) mapping has had some success in identifying genes underlying ecologically relevant variation even in novel systems. QTL mapping, however, requires (1) genetic markers that specifically differentiate parental forms, (2) a focus on a particular measurable phenotype and (3) controlled breeding and maintenance of large numbers of progeny. Here we present current advances and suggest future directions that take advantage of population genomics and quantitative genetic approaches - in both model and non-model systems. Specifically, we discuss advantages and limitations of each method and argue that a combination of the two provides a powerful approach to uncovering the molecular mechanisms responsible for adaptation.     

Ecological genomics: understanding gene and genome function in the natural environment

The field of ecological genomics seeks to understand the genetic mechanisms underlying responses of organisms to their natural environments. This is being achieved through the application of functional genomic approaches to identify and characterize genes with ecological and evolutionary relevance. By its very nature, ecological genomics is an interdisciplinary field. In this review, we consider the significance of this new area of study from both an ecological and genomic perspective using examples from the recent literature. We submit that by considering more fully an ecological context, researchers may gain additional insights into the underlying genetic basis of ecologically relevant phenotypic variation. Likewise, genomic approaches are beginning to offer new insights into higher-level biological phenomena that previously occupied the realm of ecological investigation only. We discuss various approaches that are likely to be useful in ecological genomic studies and offer thoughts on where this field is headed in the future.     

Ecologically relevant genetic variation from a non-Arabidopsis perspective

Ecologically relevant genetic variation occurs in genes harbouring alleles that are adaptive in some environments but not in others. Analysis of this type of genetic variation in model organisms has made substantial progress, and is now being expanded to other species in order to better cover the diversity of plant life. Recent advances in connecting ecological and molecular studies in non-model species have been made with regard to edaphic and climatic adaptation, plant reproduction, life-history parameters and biotic interactions. New research avenues that increase biological complexity and ecological relevance by integrating ecological experiments with population genetic and functional genomic approaches provide new insights into the genetic basis of ecologically relevant variation.     

Development in context: the timely emergence of eco-devo

Ecological development or 'eco-devo' examines the mechanisms of developmental regulation in real-world environments, providing an integrated approach for investigating both plastic and canalized aspects of phenotypic expression. This synthetic discipline brings a current understanding of environmentally mediated regulatory systems to studies of genetic variation, ecological function and evolutionary change. Eco-devo is emerging at a critical point in time, as researchers try to understand and predict the future of organisms in a changing world. Precise knowledge of the external and internal environmental cues, signaling pathways and genetic elements implicated in developmental outcomes will provide key insights to the immediate tolerance and potential evolutionary resilience of organisms to the altered physical and biotic conditions created by human activities.     

The potential of a population genomics approach to analyse geographic mosaics of plant--insect coevolution

A central issue in the evolutionary ecology of species interactions is coevolution, which involves the reciprocal selection between individuals of interacting species. Understanding the importance of coevolution in shaping species interactions requires the consideration of spatial variation in their strength. This is exactly what the, recently developed, geographic mosaic theory of coevolution addresses. Another major development in the study of population ecology is the introduction of the population genomics approach in this field of research. This approach addresses spatial processes through molecular methods. It is of particular interest that population genomics is especially applicable to natural populations of non-model species. We describe how population genomics can be used in the context of the geographic mosaic of coevolution, specifically to identify coevolutionary hot-spots, and to attribute genetic variation found at specific loci to processes of selection versus trait remixing. The proposed integration of the population genomics approach with the conceptual framework of the geographic mosaic of coevolution is illustrated with a few selected, particularly demonstrative, examples from the realm of insect--plant interactions.     

Ecological annotation of genes and genomes through ecological genomics

Ecological genomics is a research field that aims to determine how a genome or a population of genomes interacts with its environment across ecological and evolutionary timescales. This matter was the central theme of the symposium on Ecological Genomics that took place at the First meeting of the Canadian Society for Ecology and Evolution, held at the University of Toronto in May 2007. Through their research on a diverse array of organisms, the various speakers illustrated how ecology and evolution benefit from genomics, and indirectly how genomics can benefit from evolutionary ecology.