Blue Planet, Red and Green Photosynthesis 2022
DOI: 10.1002/9781119986782.ch3
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Biogeographical Patterns and Genomes of Aquatic Photoautotrophs

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Cited by 4 publications
(3 citation statements)
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“…S12 ; Supplemental Dataset S 3, sheet 11) (Delmont, Gaia et al 2022). We emphasise these results are preliminary, as many of these genomes are incomplete, and gene non-detection does not formally confirm absence (Delmont, Gaia et al 2022, Pierella Karlusich, Nef et al 2023). For each sMAG, we considered presence or absence of possible plastid-targeted Enolase and PGAM sequences; taxonomic assignation of the MAG; and mean mapped vertical coverage of each MAG in each station (i.e., depth and breadth of the coverage of sequences recruited to each genome), as a proxy for abundance, regardless of whether the plastid-targeted glycolysis genes associated with each sMAG were detected ( Fig.…”
Section: Resultsmentioning
confidence: 77%
“…S12 ; Supplemental Dataset S 3, sheet 11) (Delmont, Gaia et al 2022). We emphasise these results are preliminary, as many of these genomes are incomplete, and gene non-detection does not formally confirm absence (Delmont, Gaia et al 2022, Pierella Karlusich, Nef et al 2023). For each sMAG, we considered presence or absence of possible plastid-targeted Enolase and PGAM sequences; taxonomic assignation of the MAG; and mean mapped vertical coverage of each MAG in each station (i.e., depth and breadth of the coverage of sequences recruited to each genome), as a proxy for abundance, regardless of whether the plastid-targeted glycolysis genes associated with each sMAG were detected ( Fig.…”
Section: Resultsmentioning
confidence: 77%
“…These approaches present differing strengths and weaknesses. MAGs are informative in terms of the functional gene repertoire of the community (Delmont et al, 2022), and can also be used for biodiversity assessment and taxonomic characterization (Frioux et al, 2020; Obiol et al, 2020; Karlusich et al, 2022), but the depth of these assessments can vary greatly, as the coverage is frequently insufficient to detect the taxa with low relative abundance (Ayling et al, 2019). Metabarcoding, in comparison, has a relatively limited capacity to predict the detailed functional diversity in the community, because the prediction depends on the availability of closely related reference sequences, and similarity in marker sequences does not guarantee similarity in genomic features (Pérez-Cobas A.E., 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Metabarcoding, in comparison, has a relatively limited capacity to predict the detailed functional diversity in the community, because the prediction depends on the availability of closely related reference sequences, and similarity in marker sequences does not guarantee similarity in genomic features (Pérez-Cobas A.E., 2020). However, metabarcoding offers comparatively precise information in terms of taxonomic composition (Frioux et al, 2020; Grossart et al, 2020; Karlusich et al, 2022).…”
Section: Introductionmentioning
confidence: 99%