Devereux Richard, Rublee Parke, Paul John H, Field Katharine G, Domingo Jorge W Santo
U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Gulf Ecology Division, 1 Sabine Island Dr., Gulf Breeze, FL 32561, USA.
Environ Monit Assess. 2006 May;116(1-3):459-79. doi: 10.1007/s10661-006-7665-7.
This article brings forth recommendations from a workshop sponsored by the U.S. Environmental Protection Agency's Science to Achieve Results (STAR) and Environmental Monitoring and Assessment (EMAP) Programs and by the Council of State Governments, held during May 2002 in Kansas City, Kansas. The workshop assembled microbial ecologists and environmental scientists to determine what research and science is needed to bring existing molecular biological approaches and newer technologies arising from microbial genomic research into environmental monitoring and water quality assessments. Development of genomics and proteomics technologies for environmental science is a very new area having potential to improve environmental water quality assessments. The workshop participants noted that microbial ecologists are already using molecular biological methods well suited for monitoring and water quality assessments and anticipate that genomics-enabled technologies could be made available for monitoring within a decade. Recommendations arising from the workshop include needs for (i) identification of informative microbial gene sequences, (ii) improved understandings of linkages between indicator taxa, gene expression and environmental condition, (iii) technological advancements towards field application, and (iv) development of the appropriate databases.
本文提出了由美国环境保护局的“科学实现成果”(STAR)和“环境监测与评估”(EMAP)项目以及州政府理事会于2002年5月在堪萨斯州堪萨斯城举办的一次研讨会的建议。该研讨会召集了微生物生态学家和环境科学家,以确定需要哪些研究和科学,才能将现有的分子生物学方法以及微生物基因组研究产生的新技术应用于环境监测和水质评估。为环境科学开发基因组学和蛋白质组学技术是一个非常新的领域,有可能改善环境水质评估。研讨会参与者指出,微生物生态学家已经在使用非常适合监测和水质评估的分子生物学方法,并预计在十年内可将基于基因组学的技术用于监测。研讨会提出的建议包括需要(i)识别信息丰富的微生物基因序列,(ii)更好地理解指示生物分类群、基因表达与环境状况之间的联系,(iii)朝着现场应用的技术进步,以及(iv)开发合适的数据库。