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用于分析海洋甲壳类动物对长期接触水生污染物的交互式多生物标志物反应的数据。

Data for the analysis of interactive multibiomarker responses of a marine crustacean to long-term exposure to aquatic contaminants.

作者信息

Abreu Isabel Oliveira, Monteiro Catarina, Rocha A Cristina S, Reis-Henriques M A, Teixeira Catarina, Pires Basto Maria Clara, Ferreira Marta, Almeida C Marisa R, Oliva-Teles Luís, Guimarães Laura

机构信息

CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos s/n, 4450-208 Matosinhos, Portugal.

Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal.

出版信息

Data Brief. 2018 Sep 27;21:386-394. doi: 10.1016/j.dib.2018.09.055. eCollection 2018 Dec.

DOI:10.1016/j.dib.2018.09.055
PMID:30364575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6197765/
Abstract

The data presented herein relates to the article entitled "Multibiomarker interactions to diagnose and follow-up chronic exposure of a marine crustacean to hazardous and noxious substances (HNS)" (Abreu et al., 2018). Multibiomarker approaches, including molecular, biochemical, physiological and behaviour parameters, are recognised as valuable and cost-effective to employ in integrated chemical and biological effects monitoring of aquatic contamination. Many biomarkers assessed in such programmes share common physiological pathways, showing concomitant or interdependent responses, which can reflect in increased energy costs related to physiological acclimation. Though, routine single biomarker data analysis, and exploratory principal component analysis, limit information obtained from the data collected and their functional interpretation. Ultimately, this influences the type of management actions taken to protect an affected ecosystem. This article presents data employed to develop an analytical approach accounting for multibiomarker interactions. The method was useful to diagnose and follow-up long-term exposure of the marine green crab () to Hazardous and Noxious Substances (HNS).

摘要

本文所呈现的数据与题为《多生物标志物相互作用用于诊断和跟踪海洋甲壳类动物对有害物质（HNS）的长期暴露》（阿布雷乌等人，2018年）的文章相关。多生物标志物方法，包括分子、生化、生理和行为参数，在水生污染的综合化学和生物效应监测中被认为是有价值且具有成本效益的。在此类项目中评估的许多生物标志物共享共同的生理途径，显示出伴随或相互依赖的反应，这可能反映出与生理适应相关的能量成本增加。然而，常规的单一生物标志物数据分析以及探索性主成分分析，限制了从所收集数据中获得的信息及其功能解释。最终，这会影响为保护受影响生态系统而采取的管理行动类型。本文展示了用于开发一种考虑多生物标志物相互作用的分析方法的数据。该方法对于诊断和跟踪海洋绿蟹（）对有害物质（HNS）的长期暴露很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc99/6197765/8f97b9515c6d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc99/6197765/fce36c901a69/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc99/6197765/8f97b9515c6d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc99/6197765/fce36c901a69/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc99/6197765/8f97b9515c6d/gr2.jpg

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本文引用的文献

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