2021
DOI: 10.1016/j.watres.2021.117625
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Metagenomic insights into co-proliferation of Vibrio spp. and dinoflagellates Prorocentrum during a spring algal bloom in the coastal East China Sea

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Cited by 16 publications
(8 citation statements)
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“…Arguably, bacterial taxa that are common and consistently abundant across different culturing and physiological conditions of G. balechii can be regarded as the core or stable constituents of the associated microbiome of the dinoflagellate. This notion is similar to previous work on Prorocentrum (Wang et al, 2017;Kim et al, 2021), Alexandrium spp. (Sörenson et al, 2019), and Symbiodiniacean species (Lawson et al, 2018;Nitschke et al, 2020).…”
Section: Identification Of Core (Constitutive) Component Of Gambierdi...supporting
confidence: 91%
“…Arguably, bacterial taxa that are common and consistently abundant across different culturing and physiological conditions of G. balechii can be regarded as the core or stable constituents of the associated microbiome of the dinoflagellate. This notion is similar to previous work on Prorocentrum (Wang et al, 2017;Kim et al, 2021), Alexandrium spp. (Sörenson et al, 2019), and Symbiodiniacean species (Lawson et al, 2018;Nitschke et al, 2020).…”
Section: Identification Of Core (Constitutive) Component Of Gambierdi...supporting
confidence: 91%
“…To calculate the abundance of genes and MAGs in every sample, high-quality reads were aligned with genes and MAGs with 95% identity as the threshold using Bowtie 2 (Langmead and Salzberg, 2012 ). The abundance of genes and MAGs were estimated based on reads per kilobase per million mapped reads (RPKM) (Mortazavi et al, 2008 ; Lawson et al, 2017 ; Armstrong et al, 2018 ; Pushkarev et al, 2018 ; Kim et al, 2021 ) values of metagenomic reads that mapped to each gene and MAG, where the read counts were normalized by the sequencing depth and gene length. The calculation formula of RPKM was expressed as follows (Mortazavi et al, 2008 ).…”
Section: Methodsmentioning
confidence: 99%
“…To gain a more comprehensive understanding of the functional profiles of microbial communities in both aquaculture and non-aquaculture environments, our analysis specifically targeted genes encoding key enzymes linked to distinct ecosystem functions. Because less predictable is the influence of microbiota on Eutrophication of water bodies of the marine phosphorus cycle, given the patchy ecophysiological understanding of marine microbial phosphorus metabolism ( Kim et al, 2021 ). We identified genes related to phosphorus (P) metabolism in seawater by reviewing the literature.…”
Section: Resultsmentioning
confidence: 99%