Journal of Pesticide Science
Online ISSN : 1349-0923
Print ISSN : 1348-589X
ISSN-L : 0385-1559
31 巻, 3 号
選択された号の論文の24件中1~24を表示しています
Special topic: Applications of omics-technologies to the agricultural and environmental sciences
Reviews
  • Ching Yu Lin, Mark R. Viant, Ronald S. Tjeerdema
    2006 年 31 巻 3 号 p. 245-251
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    Environmental metabolomics is an emerging approach for examining metabolic fingerprints, or profiles, in biological systems exposed to environmental stress. In conjunction with other “omics” techniques, such as genomics, transcriptomics, and proteomics, it has been used to study the biochemical impacts of xenobiotics and disease. The approach analyzes changes in the concentrations of metabolites, which are the precursors and products of enzymatic activity, and then attempts to associate these changes with biological function and/or regulation. Environmental scientists have recently applied such techniques to suggest biomarkers for the risk assessment of chemicals and for diagnosing diseases in wild animals. Furthermore, this approach can in principle allow scientists to better understand the underlying mechanisms of action of toxic compounds in the environment. In this review the methodologies used in metabolomics are briefly discussed along with several examples from the environmental sciences, including biomarker development and risk assessment of toxicant exposure, metabolic responses to environmental stressors, and disease diagnosis and monitoring.
  • Natàlia Garcia-Reyero, Nancy D. Denslow
    2006 年 31 巻 3 号 p. 252-262
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    Microarrays and real time PCR are two molecular methods that are gaining acceptance for ecotoxicology. They will help sort out the complex biochemical pathways that are targeted by exposure of organisms to organochlorine pesticides (OCPs) and other toxicants and may point to the ways that these compounds affect development, reproduction and susceptibility to disease. OCPs are a large group of structurally diverse compounds that are present around the globe and are known to be highly persistent pollutants, for which mechanistic toxicity information is lacking. Genomic technologies such as these will help identify and monitor toxicity and help develop subsequent environmental policies.
  • C. Nelson Hayes, Åsa M. Wheelock, Johan Normark, Mats Wahlgren, ...
    2006 年 31 巻 3 号 p. 263-272
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    Plasmodium spp, the causative agent of malaria, imposes an enormous cost on the developing world. Current methods are inadequate for long-term management and eradication, and new treatments are desperately needed. The modern arsenal of “omics” technologies appears to offer a promising approach to engineering a long-term solution to malaria. However, because funding for malaria research is chronically limited, the potential results of omics methodologies must be examined to address whether the investment is justified. This review provides an overview of a suite of omics-related technologies in terms of their potential contribution to the field of malaria research.
  • Tadashi Kadowaki, Craig E. Wheelock, Masahiro Hattori, Susumu Goto, Mi ...
    2006 年 31 巻 3 号 p. 273-281
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    (Q)SARs estimate biological activity; however these models are insufficient to fully understand and predict the ADME-Tox processes of small molecules in biological systems. By integrating (Q)SARs with biological databases, the predictive capability of these models can be significantly improved. However, the techniques and methods for integrated analysis have not yet been sufficiently developed for these combined systems. In this review, we discuss standard (Q)SAR methods and biological database construction as well as provide an example of how SAR and metabolic pathway analysis can be combined to examine the biological degradation processes of endocrine disrupting chemicals.
  • Kazuharu Arakawa, Masaru Tomita
    2006 年 31 巻 3 号 p. 282-288
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    The advent of high-throughput measurement technologies has resulted in the rapid accumulation of “omics” information including genome, transcriptome, proteome, and metabolome data. This increase in data acquisition has lead to a demand for an efficient computational platform for in silico analysis. The G-language software suite provides a comprehensive workbench for large-scale omics research and systems biology. The suite includes a bioinformatics research framework G-language Genome Analysis Environment, which contains a Gene Prediction Accuracy Classification benchmarking tool for the quantification of the sensitivity of genome informatics analysis methods to genome annotation completeness. Omics data processed in this environment can be visualized with KEGG-based pathway mapping web service, and Genome-based Modeling System enables automatic prototyping of metabolic pathway models from the genome. The software suite covers various domains of omics, with the goal of integrating all of these data for research into systems biology.
Commentaries
  • Christian Klukas, Björn H. Junker, Falk Schreiber
    2006 年 31 巻 3 号 p. 289-292
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    Current research in biology generates data sets of increasing size that are very difficult to manage and analyze manually. Bioinformatics tools are necessary to facilitate statistical analysis and visualization of the data. While multiple tools exist for this purpose, they are often limited to specific kinds of data or allow only certain types of analyses. Recently, we have reported on the development of VANTED, a software system that allows mapping of multi-dimensional data sets onto relevant biological networks. VANTED provides a variety of functions for network editing, data mapping and processing, statistical analysis, and visualization. This review summarizes the main features of VANTED.
  • Nozomu Sakurai, Daisuke Shibata
    2006 年 31 巻 3 号 p. 293-295
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    With advanced technologies in DNA array, vast amounts of transcriptome data have been produced and state-of-the-art mass spectrometers have contributed to the massive production of metabolome data. Interpretation of the metabolome data in conjunction with the transcriptome data is one of the major concerns associated with research into identifying metabolism-related gene function. The web-based tool KaPPA-View was developed for representing quantitative data for individual transcripts and/or metabolites on plant metabolic pathway maps. The presentation of data in this manner facilitates a good grasp of the transcripts and metabolites, leading to hypotheses of gene function in the metabolic pathway being examined. Here, we comment on a practical use of this omics tool.
  • Kiyoko F. Aoki-Kinoshita
    2006 年 31 巻 3 号 p. 296-299
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    KEGG (Kyoto Encyclopedia of Genes and Genomes) is a bioinformatics resource for analyzing cells and organisms from not only the genomic perspective but also a high-level perspective, integrating together genomic, chemical and network information. Accessible from http://www.genome.jp/, it basically consists of four databases: PATHWAY, GENES, LIGAND and BRITE. The KEGG PATHWAY database provides pathway diagrams, represented as networks of interactions that occur in the cell. These can be viewed according to organism or as generic “reference” maps. KEGG GENES is the collection of genes that are found in the complete genomes that are registered in KEGG. It serves as the repository of genes linked from the pathway diagrams. KEGG LIGAND is a database of compounds, glycans, reactions and enzymes. Finally, KEGG BRITE contains the KEGG Orthology, or KO, which is a manually curated identification system of gene orthologs. It also contains classifications of chemical compounds and enzymatic reactions. KO has become an indispensable tool for the functional annotation of new genomes, and it plays a key part in the KAAS (KEGG Automatic Annotation Server) tool.
  • Takeshi Bamba, Eiichiro Fukusaki
    2006 年 31 巻 3 号 p. 300-304
    発行日: 2006年
    公開日: 2006/08/24
    ジャーナル フリー
    A metabolomics experiment consists of several complicated technical elements with each step (‘cultivation of organisms,’ ‘sampling,’ ‘sample preparation,’ ‘analysis,’ ‘data conversion,’ and ‘informatics’) potentially giving rise to experimental error. In order to perform metabolomics studies, it is necessary to understand the method limitations in detail and recognize possible problems at each step. Here, we review a number of technical problems associated with plant metabolomics and describe some practical knowledge for experimental design.
Original Articles
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