Luis E. Eguiarte

The Hidden Guardians: From Active Cells to Spores in a 20-Year Journey into the Microbial Heart of a Drying Oasis

This study shows that wetland drying in the Cuatro Cienegas Basin increased microbial spore abundance and dormancy, highlighting the impact of habitat loss on microbial communities.

How social and economic policies have affected the genome of mezcal agaves: the contrasting stories of Bacanora and Espadin

This study uses genomic data to show how social and political policies in Mexico influenced genetic diversity in two agave species, Espadin and Bacanora.

Running against the clock: describing microbial diversity in an extremely endangered microbial oasis in the Chihuahuan desert

The paper investigates microbial connectivity and diversity loss in the Cuatro Cienegas Basin, finding core microbial genera and declining diversity linked to groundwater overexploitation.

Comparative evaluation of bioinformatic tools for virus-host prediction and their application to a highly diverse community in the Cuatro Cienegas Basin, Mexico

The paper evaluates virus-host prediction tools on a dataset of 1,046 pairs and applies the best-performing tools to a metagenomic dataset from the Cuatro Cienegas Basin, finding that alignment-free and alignment-based methods agree best when analyzing diverse viral communities.

Evaluation of the minimum sampling design for population genomic and microsatellite studies. An analysis based on wild maize.

This study evaluates optimal sampling designs for population genomic and microsatellite studies using wild maize data, finding that population sampling is critical for accurate genetic estimates.

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.