A Multi-Omics Analysis Suggests Links Between the Differentiated Surface Metabolome and Epiphytic Microbiota Along the Thallus of a Mediterranean Seaweed Holobiont

The Bacterial and Fungal Microbiota of Saccharina latissima (Laminariales, Phaeophyceae)

“…At the family level, Rhodobacteraceae and the closely related phylogenetic group of Hyphomonadaceae were well-represented in S. latissima microbiota in coherence with previous culturebased inventories of the S. latissima microbiota (Staufenberger et al, 2008) and other algae (Lupette et al, 2016;Serebryakova et al, 2018;Parrot et al, 2019;Paix et al, 2020). Rhodobacteraceae are frequently detected on diverse types of marine surfaces.…”

“…The stochastic recruitment of functionally redundant species, as well as the influence of abiotic and biotic factors (especially the existence of interactions within the algal host and interactions within the microbiota) have been proposed to explain those patterns (Burke et al, 2011a,b;Egan et al, 2013;Kessler et al, 2018). These observations with ours suggest that the degree of colonization is, at least partially, linked with the type of metabolites released by the algae, which may favor the accumulation or the elimination or reduction of specific bacterial species (Salaün et al, 2012;Paix et al, 2019Paix et al, , 2020.…”

Exploring the Role of Macroalgal Surface Metabolites on the Settlement of the Benthic Dinoflagellate Ostreopsis cf. ovata

“…Before injection, samples were solubilized in 1 mL of LC-MS grade MeOH. Eleven quality control samples (QCs) and four analytical blanks were also prepared as described in Paix et al (2020), and all samples were randomly injected to avoid systematic errors. Acquisition was performed by UHPLC-HRMS using a Dionex Ultimate 3000 rapid Separation chromatographic system (Thermo Fisher Scientific, Waltham, MA, United States) coupled to a QToF Impact II mass spectrometer (Bruker Daltonics, Bremen, Germany) equipped with an electrospray source.…”

“…Raw UHPLC-HRMS data were analyzed using DataAnalysis (version 4.3; Bruker Daltonics), converted into netCDF files and processed for peak finding, integration and alignment using the open source XCMS package (version 1.46.0; Smith et al, 2006) in the R 3.2.3 environment. The resulting variables list was filtered using three successive steps (signal/noise ratio, coefficient of variation and coefficient of autocorrelation) with an in-house script running on R. These variables were log 10 -transformed, mean-centerd and normalized using the sum of the chromatographic peak areas as described in Paix et al (2020), and analyzed by Principal Component Analysis (PCA) and partial least-square discriminant analysis (PLS-DA) using the MetaboAnalyst 3.5 online resource 1 . The global annotation was assessed by comparison of MS/MS spectra with those of an in-house database (purified compounds and commercial standards), and public databases (MarinLit, MetLin, MoNA, or Lipidmaps).…”

Bacterial Communities Show Algal Host (Fucus spp.)/Zone Differentiation Across the Stress Gradient of the Intertidal Zone

“…Bacterial biodiversity often varies among different macroalgal hosts in a single location (Lachnit et al, 2009;Weigel and Pfister, 2019), within the same macroalgal host in different biogeographic regions (Roth-Schulze et al, 2018;Morelan et al, 2019), by tissue (Staufenberger et al, 2008;Quigley et al, 2018;Weigel and Pfister, 2019;Paix et al, 2020), or due to abiotic changes (Tujula et al, 2010;Michelou et al, 2013;Miranda et al, 2013;Longford et al, 2019;Qiu et al, 2019;Saha et al, 2020). Extensive studies of the biodiversity of bacteria on Baltic Sea Fucus vesiculosus, which is not usually exposed to air (Medvedev et al, 2016), found effects of different salinities (Stratil et al, 2014) and higher temperature (Stratil et al, 2013;Mensch et al, 2016).…”