| Literature DB >> 32188048 |
Qi Liu1, Yun Zhang1, Han Wu1, Fengwen Liu1, Wei Peng1, Xiaonan Zhang1, Fengqin Chang1, Ping Xie1,2, Hucai Zhang1.
Abstract
Changing ecological communities in response to anthropogenic activities and climate change has become a worldwide problem. The eutrophication of waterbodies in freshwater and seawater caused by the effects of human activities and nutrient inputs could result in harmful algae blooms (HABs), decreases water quality, reductions in biodiversity and threats to human health. Rapid and accurate monitoring and assessment of aquatic ecosystems are imperative. Environmental DNA (eDNA) analysis using high-throughput sequencing has been demonstrated to be an effective and sensitive assay for detecting and monitoring single or multiple species in different samples. In this study, we review the potential applications of eDNA approaches in controlling and mitigating eutrophication and HABs in freshwater and marine ecosystems. We use recent studies to highlight how eDNA methods have been shown to be a useful tool for providing comprehensive data in studies of eutrophic freshwater and marine environments. We also provide perspectives on using eDNA techniques to reveal molecular mechanisms in biological processes and mitigate eutrophication and HABs in aquatic ecosystems. Finally, we discuss the feasible applications of eDNA for monitoring biodiversity, surveying species communities and providing instructions for the conservation and management of the environment by integration with traditional methods and other advanced techniques.Entities:
Keywords: eDNA; eutrophication; freshwater ecosystem; harmful algae blooms; marine ecosystem
Year: 2020 PMID: 32188048 PMCID: PMC7143994 DOI: 10.3390/microorganisms8030417
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1The number of journal publications with “environmental DNA (eDNA), eutrophication and harmful algae bloom/s (HAB/s)” in title, abstract and keywords during 1975–2020 (2nd March) in Web of Science. The data in the present work were sourced from the online database of the Science Citation Index Expanded (SCIE), Web of Science. This database is the most comprehensive and frequently used data source in bibliometrics [35,39]. The exact query was TS = ((“environmental DNA” OR “environment DNA” OR “eDNA”) AND (“eutrophication” OR “eutrophic” OR “nutrient*” OR “nitrogen” OR “phosphorus” OR “phosphate” OR “bloom” OR “blooms” OR “harmful algae bloom*” OR “HAB*”)), and the timespan was from 1975 to 2020 (2nd March).
Figure 2The percentages of seven types of documents.
Figure 3The worldwide distribution map of research on the use of eDNA with eutrophication and HABs from 1975 to 2020 (2nd March) based on publications from Web of Science.
Figure 4The cold (a) and hot (b) topics. The significant cold and hot topics sorted by the mean θ (the per-document probabilities for topics). The mean θ by year reflect the increasing and decreasing trends of scientific interests. In this study, we present a basic analysis based on a post hoc examination of the estimates of θ produced by the Latent Dirichlet Allocation (LDA) model [36]. To identify topics that were increasing and decreasing in popularity from 1975 to 2020 (2nd March), we conducted a linear trend analysis on θ of each topic by year. According to the mean θ and significance levels (p < 0.05), topics were identified as “cold” topics and “hot” topics.
Figure 5An overview of using eDNA as a tool for controlling and inhibiting eutrophication and HABs in aquatic ecosystems.