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Brown seaweeds are keystone species of coastal ecosystems, often forming extensive underwater forests, and are under considerable threat from climate change. In this study, analysis of multiple genomes has provided insights across the entire evolutionary history of this lineage, from initial emergence, through later diversification of the brown algal orders, down to microevolutionary events at the genus level. Emergence of the brown algal lineage was associated with a marked gain of new orthologous gene families, enhanced protein domain rearrangement, increased horizontal gene transfer events, and the acquisition of novel signaling molecules and key metabolic pathways, the latter notably related to biosynthesis of the alginate-based extracellular matrix, and halogen and phlorotannin biosynthesis. We show that brown algal genome diversification is tightly linked to phenotypic divergence, including changes in life cycle strategy and zoid flagellar structure. The study also showed that integration of large viral genomes has had a significant impact on brown algal genome content throughout the emergence of the lineage.
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http://dx.doi.org/10.1016/j.cell.2024.10.049 | DOI Listing |
iScience
September 2025
The Scottish Association for Marine Science, Scottish Marine Institute, Culture Collection for Algae and Protozoa, Oban, Argyll PA37 1QA, Scotland.
Brown algae (Phaeophyta) encompass key primary producers of temperate and cold coastal seas, such as kelps, the cultivation of which is rapidly expanding worldwide. Here, we show that across ten brown algal species, innate resistance against the intracellular oomycete pathogen is mediated by local cell death and accompanied by cell-wide deposition of β1-3 glucans and fluorescent metabolites, the accumulation of reactive oxygen species, and the expression of programmed cell death (PCD) markers. This response also occurs in compatible strains for a fraction of the infected algal cells, which makes it a quantitative trait.
View Article and Find Full Text PDFMar Pollut Bull
August 2025
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
Harmful algal blooms-such as green tides and brown algae blooms-frequently occur near the Subei Shoal in the southwestern Yellow Sea. The locations and migration paths of these algae vary each year, and there is a lack of an appropriate oceanographic indicator for monitoring and prediction. We extracted cold patches from sea surface temperature data and used them to fit the spatial and temporal variations in phytoplankton growth.
View Article and Find Full Text PDFNat Ecol Evol
August 2025
Department of Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany.
Research on the biology and evolution of sex chromosomes has primarily focused on diploid XX/XY and ZW/ZZ systems. In contrast, the rise, evolution and demise of U/V systems has remained an enigma. Here we analyse genomes of nine brown algal species with different sexual systems to determine the history of their sex determination.
View Article and Find Full Text PDFSci Rep
August 2025
Georgia Institute of Technology, Atlanta, USA.
Declining water quality poses serious environmental and public health risks, with chlorophyll-a serving as a key biological indicator of harmful algal blooms. This study evaluates the use of a Long Short-Term Memory (LSTM) neural network to forecast chlorophyll-a concentrations in the Chesapeake Bay, a critical estuarine ecosystem supporting over 17 million people. Weekly satellite-derived chlorophyll-a measurements from 1997 to 2020 were collected for three geographic regions of the bay.
View Article and Find Full Text PDFSci Total Environ
August 2025
Department of Ecoscience, Aarhus University, DK-8000 Aarhus C, Denmark; Arctic Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark. Electronic address:
Macroalgae are the most widely distributed marine vegetated habitats and contribute to marine carbon cycling and storage but with limited empirical documentation of long-term burial. To evaluate long-term burial of macroalgal-derived carbon in Arctic sediments, we analyzed eDNA from six dated sediment cores from off the coast of West Greenland (79°N-60°N). We applied metabarcoding of 18S rRNA genes to selected sediment layers covering the past ∼2600 years, assessed spatio-temporal patterns of macroalgal taxa, and evaluated climatic drivers of macroalgal change using proxies for past sea surface conditions.
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