比较基因组学及其应用

比较基因组学是利用某些基因组图谱和测序获得的信息推测其他生物基因组的基因数目、位置、功能、表达机制和物种进化的学科。比较基因组学的发展与序列数据的积累密切相关,目前该学科已经成为研究生物基因组的最主要手段之一。利用FASTA、BLAST和CLUSTAL W等序列比对工具,种间的比较基因组学能够让人们了解物种间在基因组结构上的差异,发现基因的功能、物种的进化关系,以及进行功能基因的克隆。种内的比较基因组学研究主要涉及个体或群体基因组内诸如SNP、CNP等变异和多态现象。比较基因组学的研究结果不但有助于深入了解生命体的遗传机制,也有助于阐明人类复杂疾病的致病机制,揭示生命的本质规律。     

Genomics: Applications,Challenges, and Opportunities for the U.S. Environmental Protection Agency

Genomics information has great potential to enhance assessment of risks to human health and the environment. Although understanding genomic responses with respect to adverse ecological and human health outcomes is not, as yet, established, it is important to consider the likely future impacts of genomics technologies on risk assessment and decision-making. Four areas are identified as those likely to be influenced by the generation of genomics information within, and the submission of such information to, the U.S. Environmental Protection Agency (USEPA): risk assessment, prioritization of contaminants and contaminated sites, monitoring, and reporting provisions. For each of these risk assessment and regulatory applications, representative activities are presented to illustrate the application. Three major challenges for the USEPA associated with genomics are also identified in the areas of research, technical development, and capacity. The USEPA's initial activities to address these challenges are discussed. The Agency recognizes it must be prepared to use genomics information, and that many scientific, policy, ethical, and legal concerns will need to be addressed. The USEPA also recognizes it is essential to continue to collaborate with other federal agencies, academia, the regulated community, and other stakeholders in order to benefit from ongoing advances in genomics in the wider scientific and regulatory communities.     

Biological Microchips with Hydrogel-Immobilized Nucleic Acids,Proteins, and Other Compounds: Properties and Applications in Genomics

The MAGIChip (MicroArrays of Gel-Immobilized Compounds on a chip) consists of an array of hydrophilic gel pads fixed on a hydrophobic glass surface. These pads of several picoliters to several nanoliters in volume contain gel-immobilized nucleic acids, proteins, and other compounds, as well as live cells. They are used to conduct chemical and enzymatic reactions with the immobilized compounds or samples bound to them. In the latter case, nucleic acid fragments can be hybridized, modified, and fractionated within the gel pads. The main procedures required to analyze nucleic acid sequences (PCR, detachment of primers and PCR-amplified products from a substrate, hybridization, ligation, and others) can be also performed within the microchip pads. A flexible, multipurpose, and inexpensive system has been developed to register the processes on a microchip. The system provides unique possibilities for research and biomedical applications, allowing one to register both equilibrium states and the course of reaction in real time. The system is applied to analyze both kinetic and thermodynamic characteristics of molecular interaction in the duplexes formed between nucleic acids and the probes immobilized within the microchip gel pads. Owing to the effect of stacking interaction of nucleic acids, the use of short oligonucleotides extends the possibilities of microchips for analysis of nucleic acid sequences, allowing one to employ the MALDI-TOF mass spectrometry to analyze the hybridization data. The specialized MAGIChips has been successfully applied to reveal single-nucleotide polymorphism of many biologically significant genes, to identify bacteria and viruses, to detect toxins and characterize the genes of pathogenic bacteria responsible for drug resistance, and to study translocations in the human genome. On the basis of the MAGIChip, protein microchips have been created, containing immobilized antibodies, antigens, enzymes, and many other substances, as well as microchips with gel-immobilized live cells.     

DNA多态性及其在植物功能基因组学研究中的应用

DNA多态性是生物多样性的基础。本综述了DNA多态性的影响因素,并就DNA多态性应用于基因定位、基因克隆以及基因功能分析等领域进行了探讨,展示了DNA多态性在植物功能基因组学研究中的广阔应用前景。     

Synthetic Genomics and Synthetic Biology Applications Between Hopes and Concerns

New organisms and biological systems designed to satisfy human needs are among the aims of synthetic genomics and synthetic biology. Synthetic biology seeks to model and construct biological components, functions and organisms that do not exist in nature or to redesign existing biological systems to perform new functions. Synthetic genomics, on the other hand, encompasses technologies for the generation of chemically-synthesized whole genomes or larger parts of genomes, allowing to simultaneously engineer a myriad of changes to the genetic material of organisms. Engineering complex functions or new organisms in synthetic biology are thus progressively becoming dependent on and converging with synthetic genomics. While applications from both areas have been predicted to offer great benefits by making possible new drugs, renewable chemicals or clean energy, they have also given rise to concerns about new safety, environmental and socio-economic risks – stirring an increasingly polarizing debate. Here we intend to provide an overview on recent progress in biomedical and biotechnological applications of synthetic genomics and synthetic biology as well as on arguments and evidence related to their possible benefits, risks and governance implications.     

基于深度学习的作物基因组学和遗传改良

随着世界人口的不断增长、食物需求量的不断增加,以及气候的不断变化,如何提高农作物产量已成为人类面临的一个巨大挑战。传统设计育种耗时长、效率低,已经不能满足新时代的育种需求。随着基因型和表型数据成本的不断降低,以及各种组学数据的爆炸式增长,人工智能技术作为能够在大数据中高效率挖掘信息的工具,在生物学领域受到了广泛关注。人工智能指导的设计育种将大大加快育种的效率,给育种带来革命性的变化。介绍了人工智能特别是深度学习在作物基因组学和遗传改良中的应用,并进行了总结与展望,以期为智能设计育种提供新的思路。     

Anticipation of Personal Genomics Data Enhances Interest and Learning Environment in Genomics and Molecular Biology Undergraduate Courses

An important discussion at colleges is centered on determining more effective models for teaching undergraduates. As personalized genomics has become more common, we hypothesized it could be a valuable tool to make science education more hands on, personal, and engaging for college undergraduates. We hypothesized that providing students with personal genome testing kits would enhance the learning experience of students in two undergraduate courses at Brigham Young University: Advanced Molecular Biology and Genomics. These courses have an emphasis on personal genomics the last two weeks of the semester. Students taking these courses were given the option to receive personal genomics kits in 2014, whereas in 2015 they were not. Students sent their personal genomics samples in on their own and received the data after the course ended. We surveyed students in these courses before and after the two-week emphasis on personal genomics to collect data on whether anticipation of obtaining their own personal genomic data impacted undergraduate student learning. We also tested to see if specific personal genomic assignments improved the learning experience by analyzing the data from the undergraduate students who completed both the pre- and post-course surveys. Anticipation of personal genomic data significantly enhanced student interest and the learning environment based on the time students spent researching personal genomic material and their self-reported attitudes compared to those who did not anticipate getting their own data. Personal genomics homework assignments significantly enhanced the undergraduate student interest and learning based on the same criteria and a personal genomics quiz. We found that for the undergraduate students in both molecular biology and genomics courses, incorporation of personal genomic testing can be an effective educational tool in undergraduate science education.     

植物反转录转座子及其在功能基因组学中的应用

高等植物中的反转录转座子是构成植物基因组的重要成分之一.它分病毒家族和非病毒家族两类,病毒家族包括反转录病毒和类似于反转录病毒的非病毒转座子,病毒家族中的反转录转座子可再细分为Ty3-gypsy类和Ty1-copia类;非病毒家族可细分为LINE类和SINE类.正常情况下大部分反转录转座子不具有活性,某些生物或非生物因素胁迫可激活部分反转录转座子转座.反转录转座子自身编码反转录酶进行转录,以"拷贝-粘贴"的转座模式导致基因组扩增和进化.具有活性的反转录转座子通过插入产生新的突变,可作为一种基因标签技术,应用于功能基因组学研究,并成为研究植物基因功能和表达的重要技术平台.本文综述了近几年来在植物反转录转座子方面的研究进展,主要包括植物反转录转座子的结构、特征、活性及其对基因组的影响和它们在功能基因组学中的应用.     

jClustering,an Open Framework for the Development of 4D Clustering Algorithms

We present jClustering, an open framework for the design of clustering algorithms in dynamic medical imaging. We developed this tool because of the difficulty involved in manually segmenting dynamic PET images and the lack of availability of source code for published segmentation algorithms. Providing an easily extensible open tool encourages publication of source code to facilitate the process of comparing algorithms and provide interested third parties with the opportunity to review code. The internal structure of the framework allows an external developer to implement new algorithms easily and quickly, focusing only on the particulars of the method being implemented and not on image data handling and preprocessing. This tool has been coded in Java and is presented as an ImageJ plugin in order to take advantage of all the functionalities offered by this imaging analysis platform. Both binary packages and source code have been published, the latter under a free software license (GNU General Public License) to allow modification if necessary.