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Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary

Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change. In this study, eukaryotic phytoplankton in the Pearl River Estuary, South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 2...

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Autores principales: Xu, Shumin, Li, Guihao, He, Cui, Huang, Yi, Yu, Dan, Deng, Huiwen, Tong, Zhuyin, Wang, Yichong, Dupuy, Christine, Huang, Bangqin, Shen, Zhuo, Xu, Jie, Gong, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449762/
https://www.ncbi.nlm.nih.gov/pubmed/37637251
http://dx.doi.org/10.1007/s42995-023-00186-x
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author Xu, Shumin
Li, Guihao
He, Cui
Huang, Yi
Yu, Dan
Deng, Huiwen
Tong, Zhuyin
Wang, Yichong
Dupuy, Christine
Huang, Bangqin
Shen, Zhuo
Xu, Jie
Gong, Jun
author_facet Xu, Shumin
Li, Guihao
He, Cui
Huang, Yi
Yu, Dan
Deng, Huiwen
Tong, Zhuyin
Wang, Yichong
Dupuy, Christine
Huang, Bangqin
Shen, Zhuo
Xu, Jie
Gong, Jun
author_sort Xu, Shumin
collection PubMed
description Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change. In this study, eukaryotic phytoplankton in the Pearl River Estuary, South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 23S rRNA genes and pigment analysis. It was found that 18S abundance poorly explained the variations in total chlorophyll a (Chl-a). However, the ratios of log-transformed 18S abundance to Chl-a in the major phytoplankton groups were generally environment dependent, suggesting that the ratio has potential as an indicator of the physiological state of phytoplankton. The richness of 18S-based operational taxonomic units was positively correlated with the richness of 16S-based amplicon sequence variants of the whole phytoplankton community, but insignificant or weak for individual phytoplankton groups. Overall, the 18S based, rather than the 16S based, community structure had a greater similarity to pigment-based estimations. Relative to the pigment data, the proportion of haptophytes in the 18S dataset, and diatoms and cryptophytes in the 16S dataset, were underestimated. This study highlights that 18S metabarcoding tends to reflect biomass-based community organization of eukaryotic phytoplankton. Because there were lower copy numbers of plastid 16S than 18S per genome, metabarcoding of 16S probably approximates cell abundance-based community organization. Changes in biomass organization of the pigment-based community were sensitive to environmental changes. Taken together, multiple methodologies are recommended to be applied to more accurately profile the diversity and community composition of phytoplankton in natural ecosystems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-023-00186-x.
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spelling pubmed-104497622023-08-26 Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary Xu, Shumin Li, Guihao He, Cui Huang, Yi Yu, Dan Deng, Huiwen Tong, Zhuyin Wang, Yichong Dupuy, Christine Huang, Bangqin Shen, Zhuo Xu, Jie Gong, Jun Mar Life Sci Technol Research Paper Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change. In this study, eukaryotic phytoplankton in the Pearl River Estuary, South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 23S rRNA genes and pigment analysis. It was found that 18S abundance poorly explained the variations in total chlorophyll a (Chl-a). However, the ratios of log-transformed 18S abundance to Chl-a in the major phytoplankton groups were generally environment dependent, suggesting that the ratio has potential as an indicator of the physiological state of phytoplankton. The richness of 18S-based operational taxonomic units was positively correlated with the richness of 16S-based amplicon sequence variants of the whole phytoplankton community, but insignificant or weak for individual phytoplankton groups. Overall, the 18S based, rather than the 16S based, community structure had a greater similarity to pigment-based estimations. Relative to the pigment data, the proportion of haptophytes in the 18S dataset, and diatoms and cryptophytes in the 16S dataset, were underestimated. This study highlights that 18S metabarcoding tends to reflect biomass-based community organization of eukaryotic phytoplankton. Because there were lower copy numbers of plastid 16S than 18S per genome, metabarcoding of 16S probably approximates cell abundance-based community organization. Changes in biomass organization of the pigment-based community were sensitive to environmental changes. Taken together, multiple methodologies are recommended to be applied to more accurately profile the diversity and community composition of phytoplankton in natural ecosystems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-023-00186-x. Springer Nature Singapore 2023-07-29 /pmc/articles/PMC10449762/ /pubmed/37637251 http://dx.doi.org/10.1007/s42995-023-00186-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Xu, Shumin
Li, Guihao
He, Cui
Huang, Yi
Yu, Dan
Deng, Huiwen
Tong, Zhuyin
Wang, Yichong
Dupuy, Christine
Huang, Bangqin
Shen, Zhuo
Xu, Jie
Gong, Jun
Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title_full Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title_fullStr Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title_full_unstemmed Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title_short Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary
title_sort diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18s rrna and plastid 16s rrna genes and pigment markers: a case study of the pearl river estuary
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449762/
https://www.ncbi.nlm.nih.gov/pubmed/37637251
http://dx.doi.org/10.1007/s42995-023-00186-x
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