A. Fernandez-Guerra

The spatiotemporal distribution of human pathogens in ancient Eurasia and the emergence of zoonotic diseases

The paper maps ancient pathogens in Eurasia, showing zoonotic diseases emerged with livestock domestication and spread with pastoralist migrations.

Two-million-year-old microbial communities from the Kap Kobenhavn Formation in North Greenland

This paper reconstructs microbial communities from 2-million-year-old permafrost in Greenland, finding similarities to modern thawing permafrost microbes and suggesting microbial communities may signal climate change impacts before plants and animals.

Microbes with higher metabolic independence are enriched in human gut microbiomes under stress

The paper identifies high metabolic independence as a marker of gut microbiome changes in IBD, using a software framework to analyze metagenomic data from healthy and IBD patients.

Genomic adaptation of giant viruses in polar oceans

This study investigates how giant viruses adapt to polar ocean environments by analyzing their biogeography and functional genes, finding that their adaptation is independent of host adaptation.

An ecological perspective on microbial genes of unknown function in soil

The paper identifies and analyzes genes of unknown function in soil metagenomes, finding they are prevalent in certain soil types and often associated with uncharacterized microbial phyla and mobile genetic elements.

AGNOSTOS-DB: a resource to unlock the uncharted regions of the coding sequence space

AGNOSTOS-DB is a database that integrates known and unknown coding sequences from genomes and metagenomes to enhance understanding of genes of unknown function.

Genomic evidence for global ocean plankton biogeography shaped by large-scale current systems

The paper analyzes plankton genomic distribution across oceans to show how large-scale currents shape biogeography, revealing size-dependent patterns and basin-scale transport effects.

Unifying the known and unknown microbial coding sequence space

The paper presents a framework and workflow to integrate genes of unknown function into genomic analysis, quantifying their diversity and relevance across biomes and providing a resource for studying Cand. Patescibacteria.