4.7 Article

Heavy metal detoxification mechanisms by microalgae: Insights from transcriptomics analysis

期刊

ENVIRONMENTAL POLLUTION
卷 285, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2021.117443

关键词

Molecular omics; Oxidative stress; Sequestration; Toxic heavy metal; Transcriptome

资金

  1. MHRD fellowship from IIT-Roorkee
  2. SERB -DST [CRG/2018/001329]
  3. DBT -IYBA fellowship, Govt. of India
  4. NMCG-MoWR [GKC-01/2016-17/212/NMCG]

向作者/读者索取更多资源

Heavy metal pollution poses a global threat to ecosystems and human health, with microalgae playing a key role in detoxifying heavy metals through their adaptive features. Transcriptomics analyses have provided insights into the molecular mechanisms and responses of microalgae under heavy metal stress.
Heavy metal pollution in ecosystem is a global threat. The associated toxicity and carcinogenic nature of heavy metals/metalloids such as mercury, cadmium, lead, and arsenic are imposing a severe risk to both ecological diversity and human lives. Harnessing the adaptive feature of microalgae for remediating toxic heavy metal has reached a milestone in past few decades. Transcriptomics analyses have provided mechanistic insights to map the dynamics of cellular events under heavy metal stress, thus deciphering the strategic responses of microalgae. Here, the present review comprehensively addresses the elicited molecular responses of microalgae to detoxify the heavy metal stress. The review highlights the intricate role of biochemical components and signaling networks mediating stress responsive transitions of microalgae at physiological level. Furthermore, the differential gene expression signifying the transporters involved in uptake, distribution/sequestration, and efflux of heavy metal has also been reviewed. In a nutshell, this study provided a comprehensive understanding of the molecular mechanisms adopted by microalgae at transcriptome level to nullify the oxidative stress while detoxifying the heavy metals.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据