Amanda Gonçalves Bendia

The paper analyzes the pelagic microbiome of the Santos Basin using metagenomics and machine learning to identify microbial signatures and ecosystem functions shaped by local oceanographic processes.

This study uses machine learning to identify microbial assemblages in the Santos Basin, finding that environmental factors like temperature, salinity, and nutrients drive community structure across different depths.

The paper identifies a novel deep-sea methanotroph, Methylotuvimicrobium crucis, from a Brazilian carbonate mound, revealing its genomic adaptations for survival in oligotrophic environments.

The paper identifies shared endosymbiotic microbes between deep-sea corals and crinoids that participate in nitrogen cycling, suggesting mutualistic interactions in nutrient-poor environments.