期刊文献+

Evolutionary responses to climate change and contaminants: Evidence and experimental approaches 被引量:1

气候变化和污染物的进化反应:证据和实验方法
原文传递
导出
摘要 A fundamental objective within ecotoxicology lies in understanding and predicting effects of contaminants. This ob- jective is made more challenging when global climate change is considered as an environmental stress that co-occurs with con- taminant exposure. In this multi-stressor context, evolutionary processes are particularly important. In this paper, we consider several non-"omic" approaches wherein evolutionary responses to stress have been studied and discuss those amenable to a mul- tiple stressor context. Specifically, we discuss common-garden designs, artificial and quasi-natural selection, and the estimation of adaptive potential using quantitative genetics as methods for studying evolutionary responses to contaminants and climate change in the absence of expensive molecular tools. While all approaches shed light on potential evolutionary impacts of stressor exposure, they also have limitations. These include logistical constraints, difficulty extrapolating to real systems, and responses tied strongly to specific taxa, populations, and/or testing conditions. The most effective way to lessen these inherent limitations is likely through inclusion of complementary physiological and molecular tools, when available. We believe that an evolutionary context to the study of contaminants and global climate change is a high priority in ecotoxicology and we outline methods that can be implemented by almost any researcher but will also provide valuable insights [Current Zoology 61 (4): 690-701, 2015].
出处 《Current Zoology》 SCIE CAS CSCD 2015年第4期690-701,共12页 动物学报(英文版)
关键词 Climate change Multiple stressors ADAPTATION Experimental evolution Quantitative genetics 全球气候变化 进化过程 污染物 反应 生态毒理学 验方 证据 花园设计
  • 相关文献

参考文献110

  • 1Aitken SN, Yeaman S, Holliday JA, Wang T, Curtis-McLane S, 2008. Adaptation, migration or extirpation: Climate change outcomes for tree populations. Evolutionary Applications 1: 95-111.
  • 2Altshuler I, Demiri B, Xu S, Constantin A, Yan ND et al., 2011. An integrated multi-disciplinary approach for studying mul- tiple stressors in freshwater ecosystems: Daphnia as a model organism. Integrative and Comparative Biology 51:623-633.
  • 3Ankley GT, Daston GP, Degitz S J, Denslow ND, Hoke RA et al., 2006. Toxicogenetics in regulatory ecotoxicology. Environ- mental Science and Technology 40: 4055-4065.
  • 4Ankley GT, Bennett RS, Erickson R J, Hoff D J, Hornung MW et al., 2010. Adverse outcome pathways: A conceptual frame- work to support ecotoxicology research and risk assessment. Environmental Toxicology and Chemistry 29:730-741.
  • 5Arafijo CV, Blasco J, Moreno-Garrido I, 2012. Measuring the avoidance behaviour shown by the snail Hydrobia ulvae ex- posed to sediment with a known contamination gradient. Eco- toxicology 21: 750-758.
  • 6Belfiore NM, Anderson SL, 2001. Effects of contaminants on genetic patterns in aquatic organisms: A review. Reviews in Mutation Research 489: 97-122.
  • 7Blanquart F, Kaltz O, Nuismer SL, Gandon S, 2013. A practical guide to measuring local adaptation. Ecology Letters 16:1195- 1205.
  • 8Barker JSF, Krebs RA, 1995. Genetic variation and plasticity of thorax length and wing length in Drosophila aldrichi and D. buzzatii. Journal of Evolutionary BioloRv 8: 689-709.
  • 9Bradshaw WE, Holzapfel CM, 2001. Genetic shift in photoperi- odic response correlated with global warming. Proceedings of the National Academy of Sciences 98:14509-14511.
  • 10Charmantier A, McCleery RH, Cole LR, Perrins C, Kruuk LE et al., 2008. Adaptive phenotypic plasticity in response to climate change in a wild bird population. Science 320: 800-803.

同被引文献5

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部