Evolution, language and analogy in functional genomics.

Almost a century ago, Wittgenstein pointed out that theory in science is intricately connected to language. This connection is not a frequent topic in the genomics literature. But a case can be made that functional genomics is today hindered by the paradoxes that Wittgenstein identified. If this is true, until these paradoxes are recognized and addressed, functional genomics will continue to be limited in its ability to extrapolate information from genomic sequences.     

Use of geminiviral vectors for functional genomics

Virus-induced gene silencing (VIGS) can be used to study the function of a gene by downregulating its expression and analyzing the resulting phenotype. VIGS is a handy tool that is less time consuming and labor intensive than other methods for generating mutants. Geminiviruses are particularly convenient and valuable choices as VIGS vectors in functional genomics. The small size of their DNA genome, the simplicity of the methods for inoculation, their wide host range and their conserved genome organization are just a few of the advantageous characteristics that this group of viruses has to offer. Geminivirus-based vectors have proved to be very efficient in VIGS systems, and further development of these systems will most probably permit their application in studies of the functional genomics of important crops that are recalcitrant to other forms of analysis.     

功能基因组研究进展

基因组研究已经进入了以功能基因组研究为标志的后基因组时代,功能基因组研究不仅是21世纪整体细胞生物学最重要的内容,而且将为医药,农业和工业的革新提供崭新的思路。主要探讨功能基因组的研究方法和模式生物的功能基因组研究进展。     

Recent insights into cotton functional genomics: progress and future perspectives

Functional genomics has transformed from futuristic concept to well‐established scientific discipline during the last decade. Cotton functional genomics promise to enhance the understanding of fundamental plant biology to systematically exploit genetic resources for the improvement of cotton fibre quality and yield, as well as utilization of genetic information for germplasm improvement. However, determining the cotton gene functions is a much more challenging task, which has not progressed at a rapid pace. This article presents a comprehensive overview of the recent tools and resources available with the major advances in cotton functional genomics to develop elite cotton genotypes. This effort ultimately helps to filter a subset of genes that can be used to assemble a final list of candidate genes that could be employed in future novel cotton breeding programme. We argue that next stage of cotton functional genomics requires the draft genomes refinement, re‐sequencing broad diversity panels with the development of high‐throughput functional genomics tools and integrating multidisciplinary approaches in upcoming cotton improvement programmes.     

Variation and evolution of biomolecular systems: searching for functional relevance

The availability of genome sequences and functional genomics data from multiple species enables us to compare the composition of biomolecular systems like biochemical pathways and protein complexes between species. Here, we review small- and large-scale, "genomics-based" approaches to biomolecular systems variation. In general, caution is required when comparing the results of bioinformatics analyses of genomes or of functional genomics data between species. Limitations to the sensitivity of sequence analysis tools and the noisy nature of genomics data tend to lead to systematic overestimates of the amount of variation. Nevertheless, the results from detailed manual analyses, and of large-scale analyses that filter out systematic biases, point to a large amount of variation in the composition of biomolecular systems. Such observations challenge our understanding of the function of the systems and their individual components and can potentially facilitate the identification and functional characterization of sub-systems within a system. Mapping the inter-species variation of complex biomolecular systems on a phylogenetic species tree allows one to reconstruct their evolution.     

植物功能基因组学的研究策略

植物基因组学是一门研究植物基因组内基因与遗传信息是如何有机结合并如何决定其功能的一门科学。随着植物基因组计划的顺利进行 ,植物基因组学的研究已从结构基因组学转向功能基因组学。近年来 ,多采用高通量 (highthroughput,HTP)序列分析技术、大规模实验技术及计算机统计分析技术研究植物基因组功能。概述了植物功能基因组学的最新进展。     

Functional genomics of protein kinases in plants.

Functional genomics has revolutionised the way that scientists approach biological questions, allowing for the comprehensive characterisation of the function of related proteins encoded in a genome. The sequencing of the genome of the model system Arabidopsis thaliana has enabled the beginning of functional genomics and the study of protein kinase families in plants. The large family of genes encoding protein kinases is a primary target of functional genomics studies in plants due to their importance in diverse physiological processes. This paper describes the functional genomics tools used to study the families of protein kinases in Arabidopsis, as well as progress in uncovering the functions of these proteins.     

Simplivariate models: uncovering the underlying biology in functional genomics data

One of the first steps in analyzing high-dimensional functional genomics data is an exploratory analysis of such data. Cluster Analysis and Principal Component Analysis are then usually the method of choice. Despite their versatility they also have a severe drawback: they do not always generate simple and interpretable solutions. On the basis of the observation that functional genomics data often contain both informative and non-informative variation, we propose a method that finds sets of variables containing informative variation. This informative variation is subsequently expressed in easily interpretable simplivariate components.We present a new implementation of the recently introduced simplivariate models. In this implementation, the informative variation is described by multiplicative models that can adequately represent the relations between functional genomics data. Both a simulated and two real-life metabolomics data sets show good performance of the method.     

Advances in technologies for 3D genomics research

The spatial structure of the orderly organized chromatin in the nucleus has important roles in maintaining normal cell function and in regulation of gene expression, and the high-throughput Hi-C and Ch IA-PET methods have been widely used in various biological studies for determining potential spatial genome structures and their functions. However, there are still great difficulties and challenges in three-dimensional(3D) genomics research. More efficient, economical, and unbiased approaches to studying 3D genomics need to be developed for more widespread and easier applications. Here, we review the most recent studies on new 3D genomics research technologies, such as improvements of the traditional Hi-C and Ch IA-PET methods, new approaches based on non-proximal-ligation strategies, and imaging-based methods improved in recent years. Especially, we review the CRISPR-based methods for functional validations in 3D genomics, which could be the forthcoming directions. We hope this review can show some insights into the potential improvements for future 3D genomics.     

大麦基因组和分子育种研究进展

大麦(Hordeum vulgare L.)是世界上重要的谷类作物之一,其二倍体特性使其成为麦类作物基因组研究的重要材料。随着大量分子标记图谱、BACs文库、突变集合和DNA阵列技术的应用,大麦基因组测序工作已不断深入,越来越多的大麦基因组信息使综合分析大麦基因组结构和功能,了解基因表达网络同重要农艺性状之间的关系成为可能。就大麦基因组研究内容,如ESTs系统、物理图谱的构建、功能基因组学研究和大麦分子育种研究作简要综述,为进一步阐述大麦基因组结构和功能特性,提高大麦分子育种能力提供理论依据。     

环境微生物不依赖于培养的基因组学研究及应用

微生物在生物圈中分布广泛,并且在地球物质循环中占有重要地位,但是约99﹪的微生物目前还不能通过传统的培养方法得到纯培养物（即未培养微生物）,给这些未培养微生物的研究带来很大的困难。随着分子生物学的快速发展及其在微生物研究中的广泛运用,促进了以环境中未培养微生物为研究对象的新兴学科--环境基因组学的产生和发展。在不进行相关微生物培养分离的情况下,通过从环境样品中直接提取获得所有微小生物的全部遗传物质,并构建环境基因组文库;进一步利用功能基因组学研究策略,从文库中寻找编码产生新的有生物活性产物的基因;通过对系统发育相关锚定位点基因序列分析,从而确定特定生态环境体系中未培养微生物的种类结构组成及进化地位,并最终重建该体系中微生物群体的基本物质循环模式。此外,环境基因组学也可以在对未培养微生物生理生化特性深入了解的基础上,建立发展合适的培养体系,最终获得某些特定微生物的纯培养物。本文对环境基因组的构建及相关分析研究策略的进展进行了综述;同时介绍了其在微生物分类及生态学研究的应用。     

Micro-Tom番茄矮化微型机制及其在植物功能基因组学研究中的应用

Micro-Tom番茄植株矮小, 生长密度高, 生命周期短, 容易被高效转化, 成为功能基因组学研究的新型模式植物。文章对Micro-Tom的由来和生物学特征作了概述, 重点阐述了Micro-Tom矮化微型的遗传机制以及该番茄在功能基因组学研究中的应用和遗传转化体系研究的进展。     

Embryogenomics: developmental biology meets genomics

Fundamental questions in developmental biology are: what genes are expressed, where and when they are expressed, what is the level of expression and how are these programs changed by the functional and structural alteration of genes? These questions have been addressed by studying one gene at a time, but a new research field that handles many genes in parallel is emerging. The methodology is at the interface of large-scale genomics approaches and developmental biology. Genomics needs developmental biology because one of the goals of genomics – collection and analysis of all genes in an organism – cannot be completed without working on embryonic tissues in which many genes are uniquely expressed. However, developmental biology needs genomics – the high-throughput approaches of genomics generate information about genes and pathways that can give an integrated view of complex processes. This article discusses these new approaches and their applications to mammalian developmental biology.     

Functional genomics of lactic acid bacteria: from food to health

Genome analysis using next generation sequencing technologies has revolutionized the characterization of lactic acid bacteria and complete genomes of all major groups are now available. Comparative genomics has provided new insights into the natural and laboratory evolution of lactic acid bacteria and their environmental interactions. Moreover, functional genomics approaches have been used to understand the response of lactic acid bacteria to their environment. The results have been instrumental in understanding the adaptation of lactic acid bacteria in artisanal and industrial food fermentations as well as their interactions with the human host. Collectively, this has led to a detailed analysis of genes involved in colonization, persistence, interaction and signaling towards to the human host and its health. Finally, massive parallel genome re-sequencing has provided new opportunities in applied genomics, specifically in the characterization of novel non-GMO strains that have potential to be used in the food industry. Here, we provide an overview of the state of the art of these functional genomics approaches and their impact in understanding, applying and designing lactic acid bacteria for food and health.     

基因组功能预测的进化印记方法

改善基因组功能预测方案是目前功能基因组学的迫切问题,生物进化历程会在分子序列上留下相应进化印记－直系同源簇的特异模体,在这一生物学事实的基础上,提出了一个新的基因缚功能预测方法,首先利用进化分析方法构建直系同源簇,再找到各直系同源簇的功能模体,这样可以形成特异的功能模体库,未知基因的功能预测可望通过搜索该功能模体库而得以高效,准确地完成,对５个家族的检验初步证实该方案是可行的。     

插入突变在水稻功能基因组学中的研究进展

构建饱和的基因突变体库是最直接、有效的分析鉴定基因功能的方法.根据插入突变源不同可分为T-DNA插入突变、转座子插入突变等.主要介绍这两种方法的原理及其在水稻功能基因组学研究中的应用和进展,并分析和讨论了插入突变在水稻功能基因组学研究中存在的困难和发展趋势.     

Functional genomics of soybean for improvement of productivity in adverse conditions

Global soybean production is frequently impacted by various stresses, including both abiotic and biotic stresses. To develop soybean plants with enhanced tolerance to different stressors, functional genomics of soybean and a comprehensive understanding of available biotechnological resources and approaches are essential. In this review, we will discuss recent advances in soybean functional genomics which provide unprecedented opportunities to understand global patterns of gene expression, gene regulatory networks, various physiological, biochemical, and metabolic pathways as well as their association with the development of specific phenotypes. Soybean functional genomics, therefore, will ultimately enable us to develop new soybean varieties with improved productivity under adverse conditions by genetic engineering.     

A transgenic perspective on plant functional genomics

Transgenic crops are very much in the news due to the increasing public debate on their acceptance. In the scientific community though, transgenic plants are proving to be powerful tools to study various aspects of plant sciences. The emerging scientific revolution sparked by genomics based technologies is producing enormous amounts of DNA sequence information that, together with plant transformation methodology, is opening up new experimental opportunities for functional genomics analysis. An overview is provided here on the use of transgenic technology for the functional analysis of plant genes in model plants and a link made to their utilization in transgenic crops. In transgenic plants, insertional mutagenesis using heterologous maize transposons or Agrobacterium mediated T-DNA insertions, have been valuable tools for the identification and isolation of genes that display a mutant phenotype. To discover functions of genes that do not display phenotypes when mutated, insertion sequences have been engineered to monitor or change the expression pattern of adjacent genes. These gene detector insertions can detect adjacent promoters, enhancers or gene exons and precisely reflect the expression pattern of the tagged gene. Activation tag insertions can mis-express the adjacent gene and confer dominant phenotypes that help bridge the phenotype gap. Employment of various forms of gene silencing technology broadens the scope of recovering knockout phenotypes for genes with redundant function. All these transgenic strategies describing gene-phenotype relationships can be addressed by high throughput reverse genetics methods that will help provide functions to the genes discovered by genome sequencing. The gene functions discovered by insertional mutagenesis and silencing strategies along with expression pattern analysis will provide an integrated functional genomics perspective and offer unique applications in transgenic crops. This revised version was published online in August 2006 with corrections to the Cover Date.     

Functional genomics of wood quality and properties

Genomics promises to enrich the investigations of biology and biochemistry. Current advancements in genomics have major implications for genetic improvement in animals, plants, and microorganisms, and for our understanding of cell growth, development, differentiation, and communication. Significant progress has been made in the understanding of plant genomics in recent years, and the area continues to