Valerie De Anda

Coupled enzyme discovery, evolution and synthetic yeast chassis adaptation for microbial biopolymer valorisation

This paper presents a coupled strategy for enzyme discovery, evolution, and yeast chassis adaptation to improve microbial biopolymer valorisation, demonstrating it with laccases for lignin depolymerisation.

Structure-based inference of eukaryotic complexity in Asgard archaea

This study identifies 908 new isomorphic eukaryotic signature proteins in Asgard archaea, suggesting their ancestor was more complex than previously thought.

Oxygen metabolism in descendants of the archaeal-eukaryotic ancestor

This study expands the diversity of Asgardarchaeota, revealing metabolic features suggesting aerobic respiration in the Asgard-eukaryotic ancestor.

Symbiosis reshapes the metabolism of sulfate-reducing bacteria in gutless marine worms

This study identifies metabolic adaptations in sulfate-reducing bacteria (SRB) that enable their persistence in symbiosis with gutless marine worms, revealing a conserved core metabolism distinct from free-living relatives.

Archaeal lineages related to eukaryotes encode functional diterpenoid cyclases

The paper identifies and characterizes diterpenoid cyclases in Asgardarchaeota, showing they produce bicyclic halimadienyl pyrophosphate, potentially relevant to microbial persistence.

Methane production from hydrocarbons by consortia dominated by ANME archaea

The paper tracks methane production from hydrocarbons using isotopic labeling and identifies ANME-2c archaea as potential methane producers in hydrocarbon-rich sediments.

Genetic elements and defense systems drive diversification and evolution in Asgard archaea

This study identifies mobile genetic elements and defense systems in Asgard archaea, revealing their role in shaping genetic diversity and evolution.

MEBS, a software platform to evaluate large (meta)genomic collections according to their metabolic machinery: unraveling the sulfur cycle

MEBS evaluates (meta)genomic datasets to infer metabolic capabilities, particularly for the sulfur cycle, using entropy-based scoring and Pfam domains.

A new multi-genomic approach for the study of biogeochemical cycles at global scale: the molecular reconstruction of the sulfur cycle

The paper introduces a method to analyze the sulfur cycle using genomic data, producing a sulfur score that classifies microorganisms and identifies key environments.