DNA and RNA Stability of Marine Microalgae in Cold-Stored Sediments and Its Implications in Metabarcoding Analyses

Author:

Chai Zhaoyang123ORCID,Liu Yuyang123ORCID,Jia Siyang4,Li Fengting123,Hu Zhangxi123ORCID,Deng Yunyan123ORCID,Yue Caixia15,Tang Ying-Zhong123ORCID

Affiliation:

1. CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China

2. Laoshan Laboratory, Qingdao 266237, China

3. Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China

4. Yellow Sea and East Sea Buoy Observation Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China

5. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

The ever-increasing applications of metabarcoding analyses for environmental samples demand a well-designed assessment of the stability of DNA and RNA contained in cells that are deposited or buried in marine sediments. We thus conducted a qPCR quantification of the DNA and RNA in the vegetative cells of three microalgae entrapped in facsimile marine sediments and found that >90% of DNA and up to 99% of RNA for all microalgal species were degraded within 60 days at 4 °C. A further examination of the potential interference of the relic DNA of the vegetative cells with resting cyst detection in sediments was performed via a metabarcoding analysis in artificial marine sediments spiked with the vegetative cells of two Kareniaceae dinoflagellates and the resting cysts of another three dinoflagellates. The results demonstrated a dramatic decrease in the relative abundances of the two Kareniaceae dinoflagellates in 120 days, while those of the three resting cysts increased dramatically. Together, our results suggest that a positive detection of microalgae via metabarcoding analysis in DNA or RNA extracted from marine sediments strongly indicates the presence of intact or viable cysts or spores due to the rapid decay of relic DNA/RNA. This study provides a solid basis for the data interpretation of metabarcoding surveys, particularly in resting cyst detection.

Funder

Key Research Infrastructures in the CAS Field Stations of the Chinese Academy of Science

Science and Technology Innovation Project of Laoshan Laboratory

National Key Research and Development Program of China

National Science Foundation of China

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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