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作 者:Shumin Xu Guihao Li Cui He Yi Huang Dan Yu Huiwen Deng Zhuyin Tong Yichong Wang Christine Dupuy Bangqin Huang Zhuo Shen Jie Xu Jun Gong
机构地区:[1]School of Marine Sciences,Sun Yat-Sen University(Zhuhai Campus),and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519000,China [2]Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering,Guangzhou 510006,China [3]State Key Laboratory of Marine Environmental Science,Xiamen University,Xiamen 361102,China [4]BIOFEEL,UMRi LIENSs,La Rochelle Université/CNRS,La Rochelle,France [5]Centre for Regional Oceans,Department of Civil and Environmental Engineering,Faculty of Science and Technology,University of Macao,Macao,China
出 处:《Marine Life Science & Technology》2023年第3期415-430,共16页海洋生命科学与技术(英文)
基 金:This work was supported by the National Natural Science Foundation of China(nos.41976128 and 31970486);the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(no.311021004).
摘 要: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 insignifcant 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 refect 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 profle the diversity and community composition of phytoplankton in natural ecosystems.
关 键 词:Accessory pigments CHLOROPLAST Marker gene Metabarcoding PHYTOPLANKTON
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