2020
DOI: 10.21203/rs.3.rs-43571/v2
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Nutrient-imbalanced conditions shift the interplay between zooplankton and gut microbiota

Abstract: Nutrient stoichiometry of phytoplankton frequently changes with aquatic ambient nutrient concentrations, which is mainly influenced by anthropogenic water treatment and the ecosystem dynamics. Consequently, the stoichiometry of phytoplankton can markedly alter the metabolism and growth of zooplankton. However, the effects of nutrient-imbalanced prey on the interplay between zooplankton and their gut microbiota remain unknown. Using metatranscriptome, a 16s rRNA amplicon-based neutral community model (NCM) and … Show more

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Cited by 2 publications
(2 citation statements)
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“…After quality control of short reads 39 , the SRC_c software (in the default setting) was used to map the sequenced short reads to either D. magna or bacteria affiliated dataset 40 . According to the previous paper 41 , the D. magna and gut microbiota affiliated short reads were separately assembled, predicted for open reading frames (ORFs), and annotated with Kyoto Encyclopedia of Genes and Genomes (KEGG), Cazymes, and non-redundant (nr) database using diamond with -k set to 1 42 . The coverage of ORFs was calculated by mapping the short reads back to the assembled transcripts using Bowtie 2.2.9 43 and SAMtools v1.9 44 .…”
Section: Gut Microbiota Associated Metatranscriptome Analysismentioning
confidence: 99%
“…After quality control of short reads 39 , the SRC_c software (in the default setting) was used to map the sequenced short reads to either D. magna or bacteria affiliated dataset 40 . According to the previous paper 41 , the D. magna and gut microbiota affiliated short reads were separately assembled, predicted for open reading frames (ORFs), and annotated with Kyoto Encyclopedia of Genes and Genomes (KEGG), Cazymes, and non-redundant (nr) database using diamond with -k set to 1 42 . The coverage of ORFs was calculated by mapping the short reads back to the assembled transcripts using Bowtie 2.2.9 43 and SAMtools v1.9 44 .…”
Section: Gut Microbiota Associated Metatranscriptome Analysismentioning
confidence: 99%
“…The introduction of DNA technology to microbiome analyses in both aquatic and terrestrial ecosystems has been a driving force for the study of small-sized organisms and their associated bacteria [ 11 , 12 , 13 , 14 , 15 ]. The copepod community and its associated bacterial community was also more actively analysed through the application of DNA analysis techniques; however, previous studies on copepod-associated bacteria have been primarily conducted at the laboratory scale (e.g., incubation) [ 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%