SYSTEMS BIOLOGY: LEADING THE REVOLUTION IN ECOTOXICOLOGY

被引:77
作者
Garcia-Reyero, Natalia [1 ]
Perkins, Edward J. [2 ]
机构
[1] Jackson State Univ, Jackson, MS 39217 USA
[2] USA, Engineer Res & Dev Ctr, Vicksburg, MS USA
关键词
Omics; Genomics; Systems biology; Aquatic toxicology; Ecotoxicology; MINNOW PIMEPHALES-PROMELAS; ZEBRAFISH DANIO-RERIO; FLOUNDER PLATICHTHYS-FLESUS; EXPRESSION PROFILES; FATHEAD MINNOWS; ENVIRONMENTAL METABOLOMICS; BIOCHEMICAL RESPONSES; COMPUTATIONAL MODEL; RAINBOW-TROUT; END-POINTS;
D O I
10.1002/etc.401
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
The rapid development of new technologies such as transcriptomics, proteomics, and metabolomics (Omics) are changing the way ecotoxicology is practiced. The data deluge has begun with genomes of over 65 different aquatic species that are currently being sequenced, and many times that number with at least some level of transcriptome sequencing. Integrating these top-down methodologies is an essential task in the field of systems biology. Systems biology is a biology-based interdisciplinary field that focuses on complex interactions in biological systems, with the intent to model and discover emergent properties of the system. Recent studies demonstrate that Omics technologies provide valuable insight into ecotoxicity, both in laboratory exposures with model organisms and with animals exposed in the field. However, these approaches require a context of the whole animal and population to be relevant. Powerful approaches using reverse engineering to determine interacting networks of genes, proteins, or biochemical reactions are uncovering unique responses to toxicants. Modeling efforts in aquatic animals are evolving to interrelate the interacting networks of a system and the flow of information linking these elements. Just as is happening in medicine, systems biology approaches that allow the integration of many different scales of interaction and information are already driving a revolution in understanding the impacts of pollutants on aquatic systems. Environ. Toxicol. Chem. 2011;30:265-273. (C) 2010 SETAC
引用
收藏
页码:265 / 273
页数:9
相关论文
共 75 条
[1]
Relationship of plasma sex steroid concentrations in female fathead minnows to reproductive success and population status [J].
Ankley, Gerald T. ;
Miller, David H. ;
Jensen, Kathleen M. ;
Villeneuve, Daniel L. ;
Martinovic, Dalma .
AQUATIC TOXICOLOGY, 2008, 88 (01) :69-74
[2]
Toxicogenomics in regulatory ecotoxicology [J].
Ankley, Gerald T. ;
Daston, George P. ;
Degitz, Sigmund J. ;
Denslow, Nancy D. ;
Hoke, Robert A. ;
Kennedy, Sean W. ;
Miracle, Ann L. ;
Perkins, Edward J. ;
Snape, Jason ;
Tillitt, Donald E. ;
Tyler, Charles R. ;
Versteeg, Donald .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2006, 40 (13) :4055-4065
[3]
Endocrine disrupting chemicals in fish: Developing exposure indicators and predictive models of effects based on mechanism of action [J].
Ankley, Gerald T. ;
Bencic, David C. ;
Breen, Michael S. ;
Collette, Timothy W. ;
Conolly, Rory B. ;
Denslow, Nancy D. ;
Edwards, Stephen W. ;
Ekman, Drew R. ;
Garcia-Reyero, Natalia ;
Jensen, Kathleen M. ;
Lazorchak, James M. ;
Martinovic, Dalma ;
Miller, David H. ;
Perkins, Edward J. ;
Orlando, Edward F. ;
Villeneuve, Daniel L. ;
Wang, Rong-Lin ;
Watanabe, Karen H. .
AQUATIC TOXICOLOGY, 2009, 92 (03) :168-178
[4]
[Anonymous], 2008, GLOBAL SENSITIVITY A
[5]
BioNetBuilder: automatic integration of biological networks [J].
Avila-Campillo, Iliana ;
Drew, Kevin ;
Lin, John ;
Reiss, David J. ;
Bonneau, Richard .
BIOINFORMATICS, 2007, 23 (03) :392-393
[6]
BARALLA A, 2009, ANN NY ACAD SCI, V1, P246
[7]
Quantification of protein half-lives in the budding yeast proteome [J].
Belle, Archana ;
Tanay, Amos ;
Bitincka, Ledion ;
Shamir, Ron ;
O'Shea, Erin K. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (35) :13004-13009
[8]
Learning biological networks: from modules to dynamics [J].
Bonneau, Richard .
NATURE CHEMICAL BIOLOGY, 2008, 4 (11) :658-664
[9]
Mechanistic computational model of ovarian steroidogenesis to predict biochemical responses to endocrine active compounds [J].
Breen, Michael S. ;
Villeneuve, Daniel L. ;
Breen, Miyuki ;
Ankley, Gerald T. ;
Conolly, Rory B. .
ANNALS OF BIOMEDICAL ENGINEERING, 2007, 35 (06) :970-981
[10]
Buck Wayne R., 2008, V460, P23, DOI 10.1007/978-1-60327-048-9_2