Comparative genomics of Arabidopsis and maize: prospects and limitations

The completed Arabidopsis genome seems to be of limited value as a model for maize genomics. In addition to the expansion of repetitive sequences in maize and the lack of genomic micro-colinearity, maize-specific or highly-diverged proteins contribute to a predicted maize proteome of about 50,000 proteins, twice the size of that of Arabidopsis.     

合成基因组学：设计与合成的艺术

随着基因组相关技术(测序、编辑、合成等)和知识(功能基因组学)的日益成熟,合成基因组学在本世纪迎得了发展的契机。病毒、原核生物的全基因组相继被化学合成并支持生命的存活,第1个真核生物合成基因组计划已经完成过半,人类基因组编写计划提上日程。在基因组合成的实践过程中,研究者们不断探索对基因组进行重编和设计所应遵循的规则,提高从头合成、组装和替换基因组的技术手段。合成基因组在工业、环境、健康和基础研究领域有着广阔的应用前景,同时也带来了相应的伦理问题。结合在Sc2.0计划中的基因组合成研究和近期合成基因组学所取得的重大进展,本文综述了基因组设计和合成相关的科学、技术和伦理内容,并探讨了未来发展所面对的挑战。作为合成生物学最重要的领域之一,合成基因组学方兴未艾。     

Single-chain Fv-based anti-HIV proteins: potential and limitations

The existence of very potent, broadly neutralizing antibodies against human immunodeficiency virus type 1 (HIV-1) offers the potential for prophylaxis against HIV-1 infection by passive immunization or gene therapy. Both routes permit the delivery of modified forms of IgGs. Smaller reagents are favored when considering ease of tissue penetration and the limited capacities of gene therapy vectors. Immunoadhesin (single-chain fragment variable [scFv]-Fc) forms of IgGs are one class of relatively small reagent that has been explored for delivery by adeno-associated virus. Here we investigated the neutralization potencies of immunoadhesins compared to those of their parent IgGs. For the antibodies VRC01, PG9, and PG16, the immunoadhesins showed modestly reduced potencies, likely reflecting reduced affinities compared to those of the parent IgG, and the VRC01 immunoadhesin formed dimers and multimers with reduced neutralization potencies. Although scFv forms of neutralizing antibodies may exhibit affinity reductions, they provide a means of building reagents with multiple activities. Attachment of the VRC01 scFv to PG16 IgG yielded a bispecific reagent whose neutralization activity combined activities from both parent antibodies. Although the neutralization activity due to each component was partially reduced, the combined reagent is attractive since fewer strains escaped neutralization.     

An applications-focused review of comparative genomics tools: capabilities,limitations and future challenges

A team at the Lawrence Livermore National Laboratory (LLNL) was given the task of using computational tools to speed up the development of DNA diagnostics for pathogen detection. This work will be described in another paper in this issue (see pages 133-149). To achieve this goal it was necessary to understand the merits and limitations of the various available comparative genomics tools. A review of some recent tools for multisequence/genome alignment and substring comparison is presented, within the general framework of applicability to a large-scale application. We note that genome alignments are important for many things, only one of which is pathogen detection. Understanding gene function, gene regulation, gene networks, phylogenetic studies and other aspects of evolution all depend on accurate nucleic acid and protein sequence alignment. Selecting appropriate tools can make a large difference in the quality of results obtained and the effort required.     

Cross-species transfer of nuclear microsatellite markers: potential and limitations

Molecular ecologists increasingly require 'universal' genetic markers that can easily be transferred between species. The distribution of cross-species transferability of nuclear microsatellite loci is highly uneven across taxa, being greater in animals and highly variable in flowering plants. The potential for successful cross-species transfer appears highest in species with long generation times, mixed or outcrossing breeding systems, and where genome size in the target species is small compared to the source. We discuss the implications of these findings and close with an outlook on potential alternative sources of cross-species transferable markers.     

Synthetic antibodies: Concepts, potential and practical considerations

The last 100years of enquiry into the fundamental basis of humoral immunity has resulted in the identification of antibodies as key molecular sentinels responsible for the in vivo surveillance, neutralization and clearance of foreign substances. Intense efforts aimed at understanding and exploiting their exquisite molecular specificity have positioned antibodies as a cornerstone supporting basic research, diagnostics and therapeutic applications [1]. More recently, efforts have aimed to circumvent the limitations of developing antibodies in animals by developing wholly in vitro techniques for designing antibodies of tailored specificity. This has been realized with the advent of synthetic antibody libraries that possess diversity outside the scope of natural immune repertoires and are thus capable of yielding specificities not otherwise attainable. This review examines the convergence of technologies that have contributed to the development of combinatorial phage-displayed antibody libraries. It further explores the practical concepts that underlie phage display, antibody diversity and the methods used in the generation of and selection from phage-displayed synthetic antibody libraries, highlighting specific applications in which design approaches gave rise to specificities that could not easily be obtained with libraries based upon natural immune repertories.     

Campylobacter fetus subspecies: Comparative genomics and prediction of potential virulence targets

The genus Campylobacter contains pathogens causing a wide range of diseases, targeting both humans and animals. Among them, the Campylobacter fetus subspecies fetus and venerealis deserve special attention, as they are the etiological agents of human bacterial gastroenteritis and bovine genital campylobacteriosis, respectively. We compare the whole genomes of both subspecies to get insights into genomic architecture, phylogenetic relationships, genome conservation and core virulence factors. Pan-genomic approach was applied to identify the core- and pan-genome for both C. fetus subspecies and members of the genus. The C. fetus subspecies conserved (76%) proteome were then analyzed for their subcellular localization and protein functions in biological processes. Furthermore, with pathogenomic strategies, unique candidate regions in the genomes and several potential core-virulence factors were identified. The potential candidate factors identified for attenuation and/or subunit vaccine development against C. fetus subspecies contain: nucleoside diphosphate kinase (Ndk), type IV secretion systems (T4SS), outer membrane proteins (OMP), substrate binding proteins CjaA and CjaC, surface array proteins, sap gene, and cytolethal distending toxin (CDT). Significantly, many of those genes were found in genomic regions with signals of horizontal gene transfer and, therefore, predicted as putative pathogenicity islands. We found CRISPR loci and dam genes in an island specific for C. fetus subsp. fetus, and T4SS and sap genes in an island specific for C. fetus subsp. venerealis. The genomic variations and potential core and unique virulence factors characterized in this study would lead to better insight into the species virulence and to more efficient use of the candidates for antibiotic, drug and vaccine development.     

Synthetic cannabinoids and potential reproductive consequences

Increases in emergency room visits due to abuse of designer drugs, popularly known by the street names “K2” and “Spice,” are a cause for social, judicial, and clinical concerns. The psychoactive components in these herbal drugs mainly consist of different synthetic cannabinoids, and users of these street drugs are primarily within the age group of 12 to 20 years old. The abusive use of synthetic cannabinoids results in anxiety, nausea, vomiting, tachycardia, elevated blood pressure, tremors, seizures, hallucinations, and paranoid behavior, but the effects of maternal use of synthetic cannabinoids during pregnancy are ambiguous due to limited studies in humans and a relative short history of the drugs. In this review, we discuss the known and potential adverse effects of synthetic cannabinoids on human pregnancy using knowledge gathered from studies in mice and limited studies in humans. In mice, multiple sites and stages of pregnancy are potential targets of synthetic cannabinoids, including preimplantation embryo development, oviductal embryo transport, implantation, placentation, and parturition. It is anticipated that maternal use of synthetic cannabinoids would result in severely compromised female fertility and pregnancy outcome.     

Synthetic biology in various cellular and molecular fields: applications,limitations, and perspective

Molecular Biology Reports - Synthetic biology breakthroughs have facilitated genetic circuit engineering to program cells through novel biological functions, dynamic gene expressions, as well as...     

多肽配体技术在植物功能基因组学中的应用前景

人工智能配体或适配体(Aptamer)技术是近年来兴起的一项特异性极强的基因干扰技术。通过人工合成特异的智能配体结合靶基因的蛋白产物, 达到特异干扰靶基因的生物学功能, 这是人工智能配体技术的基本设想。文章综述了多肽配体(Peptide aptamer)技术在基因功能验证中的主要进展, 着重阐明它在植物基因功能验证和作物抗病毒育种中的应用前景, 并提出克服该技术主要风险对策。     

Synthetic analyses of phenotypic selection in natural populations: lessons, limitations and future directions

There are now thousands of estimates of phenotypic selection in natural populations, resulting in multiple synthetic reviews of these data. Here we consider several major lessons and limitations emerging from these syntheses, and how they may guide future studies of selection in the wild. First, we review past analyses of the patterns of directional selection. We present new meta-analyses that confirm differences in the direction and magnitude of selection for different types of traits and fitness components. Second, we describe patterns of temporal and spatial variation in directional selection, and their implications for cumulative selection and directional evolution. Meta-analyses suggest that sampling error contributes importantly to observed temporal variation in selection, and indicate that evidence for frequent temporal changes in the direction of selection in natural populations is limited. Third, we review the apparent lack of evidence for widespread stabilizing selection, and discuss biological and methodological explanations for this pattern. Finally, we describe how sampling error, statistical biases, choice of traits, fitness measures and selection metrics, environmental covariance and other factors may limit the inferences we can draw from analyses of selection coefficients. Current standardized selection metrics based on simple parametric statistical models may be inadequate for understanding patterns of non-linear selection and complex fitness surfaces. We highlight three promising areas for expanding our understanding of selection in the wild: (1) field studies of stabilizing selection, selection on physiological and behavioral traits, and the ecological causes of selection; (2) new statistical models and methods that connect phenotypic variation to population demography and selection; and (3) availability of the underlying individual-level data sets from past and future selection studies, which will allow comprehensive modeling of selection and fitness variation within and across systems, rather than meta-analyses of standardized selection metrics.     

Exploration of antimicrobial potential in LAB by genomics

A tremendous flow of information has been created through various genome sequencing projects worldwide. So far, 128 bacterial genome sequences have been completed and 391 are under way. Many of these bacteria, including several lactic acid bacteria (LAB), are used in the production and preservation of food and feed. The major antimicrobial and biopreservative substance produced by LAB is organic acid; however, some LAB produce additional antimicrobial compounds. Among these, the bacteriocins have demonstrated great potential as food preservatives. Additionally, antimicrobial compounds different from the bacteriocins have recently been identified, of which several display strong antifungal activity. The information obtained from genomics and related technologies will have great impact on the future identification and development of new antimicrobial agents. Developments will include the identification of pathways for the production of antimicrobials and genome mining for new antimicrobial peptides.     

The potential of and limitations to marine population prognosis

Following the 19th century recognition and definition of basic ecological entities, functional analysis has been the highlight of this century. The synthesis of these findings enables ecological prognosis. The population as the basic functional unit has been repeatedly treated; in the marine field, fisheries management approaches developed into multi-species population analysis. As in planktology, theoretical ecology, and classic biocoenotic research, the population interactions are of increasing scientific interest. A mathematical model is suggested that combines these extrinsic and intrinsic functional relationships in order to define the fit of the ecological niche to the environment, the decisive measure of the expected population success, and thus of the probable population development needed for prognostic purposes. It is discussed in how far the orientation towards the predictive power or — with respect to the “skill” of meteorological prognoses — the “ecological prognostic skill” improvement may serve as a means to choose the best investigative strategy.     

Next-generation sequencing and its potential impact on food microbial genomics

Recent efforts of researchers to elucidate the molecular mechanisms of biological systems have been revolutionized greatly with the use of high throughput and cost-effective techniques such as next generation sequencing (NGS). Application of NGS to microbial genomics is not just limited to predict the prevalence of microorganisms in food samples but also to elucidate the molecular basis of how microorganisms respond to different food-associated conditions, which in turn offers tremendous opportunities to predict and control the growth and survival of desirable or undesirable microorganisms in food. Concurrently, NGS has facilitated the development of new genome-assisted approaches for correlating genotype and phenotype. The aim of this review is to provide a snapshot of the various possibilities that these new technologies are opening up in area of food microbiology, focusing the discussion mainly on lactic acid bacteria and yeasts associated with fermented food. The contribution of NGS to a system level understanding of food microorganisms is also discussed.