Simon M. Dittami

The paper presents the genome of Delisea pulchra, revealing gene expansions related to defense mechanisms and identifying candidate genes for bromofuranone production.

This study characterizes the bacterial, archaeal, and fungal communities of Ascophyllum nodosum across multiple environmental factors, revealing dynamic bacterial interactions and stable fungal associations.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

The paper introduces the JEDI marker as a universal biodiversity measure, demonstrating its applicability across ecological scales and providing an automated bioinformatic workflow for standardized analysis.

This paper introduces CONCOMPRA, a reference-free tool for analyzing long amplicon nanopore data, which outperforms existing methods in bacterial community profiling.

This study analyzes 60 brown algal genomes to identify genomic innovations and evolutionary patterns that enabled their adaptation to coastal ecosystems.

AuCoMe reduces technical biases in metabolic network comparisons across diverse genomes and identifies shared and divergent metabolic traits.

EsMeCaTa estimates consensus proteomes and metabolic functions from taxonomic data, validated on environmental datasets and applied to a methanogenic reactor study.

This paper presents the genome and metabolic network of Ectocarpus subulatus, a stress-tolerant brown alga, and identifies features contributing to its stress tolerance.

The paper identifies metabolic complementarities between a brown alga and its associated bacteria, showing that selected bacterial consortia enhance algal growth and metabolite exchange.

The paper infers new biochemical reactions and metabolite structures in Chondrus crispus, revealing metabolic pathway drift despite conserved phenotypes.