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Environmental science and pollution research international
Feb, 2023;30 (7): 17039-17050.

Sedimentary DNA for tracking the long-term changes in biodiversity.

Haoyu Li, Hucai Zhang, Fengqin Chang, Qi Liu, Yang Zhang, Fengwen Liu, Xiaonan Zhang
Author Information
  1. Haoyu Li: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
  2. Hucai Zhang: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China. zhanghc@ynu.edu.cn. ORCID
  3. Fengqin Chang: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
  4. Qi Liu: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
  5. Yang Zhang: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
  6. Fengwen Liu: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
  7. Xiaonan Zhang: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
PMID: 36622608 DOI: 10.1007/s11356-023-25130-5

Abstract

Understanding long-term dynamics is vitally important for explaining current biodiversity patterns and setting conservation goals in a changing world. However, the changes in biodiversity in time and space, particularly the dynamics at the centuries or even longer time scales, are poorly documented because of a lack of continuous monitoring data. The sedimentary DNA (sedDNA) has a great potential for paleo-community reconstruction, and it has recently been used as a powerful tool to characterize past dynamics in terms of biodiversity over geological timescales. In particular, it is useful for prokaryotes and eukaryotes that do not fossilize; hence, it is revolutionizing the scope of paleoecological research. Here, a "Research Weaving" method was performed with systematic maps and bibliometric webs based on the Web of Science for Science Citation Index Expanded, presenting a comprehensive landscape of the sedDNA that traces biological dynamics. We identified that most sedDNA-based studies have focused on microbial dynamics and on using samples from multitypes of sediments. This review summarized the advantages and common applications of sedDNA, focused on the biodiversity in microbial communities, and provided an outlook for the future of sedDNA research.

Keywords

Bibliometric analysis Biodiversity Biological dynamics SedDNA Sedimentary DNA

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Grants

  1. 41820104008/National Natural Science Foundation of China
  2. 42201172/National Natural Science Foundation of China

MeSH Term

Geologic Sediments
Biodiversity
DNA
Eukaryota
Ecosystem

Chemicals

DNA
Journal Article Review

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