Diogo Melo

The paper examines directional selection during adaptive zone transitions in mammals, finding elevated evolutionary rates in most cases compared to genetic drift.

This study shows that primate cranial variation has remained conserved in covariance structure and evolvability over 60 million years, despite morphological divergence.

This study uses longitudinal sequencing in Drosophila to show that genomic response to selection involves both polygenic shifts and epistatic interactions, with DEGs enriched for selected SNPs.

The paper shows that in queenless bumble bee colonies, workers show increased behavioral variation and take on influential roles, leading to a shift from centralized to decentralized social networks.

This study uses the stochastic block model to analyze gene co-expression networks in Drosophila, finding more complex structures than traditional modular models.

The paper analyzes gene expression variance across 57 RNA-seq datasets to show that transcriptional variance is consistent across tissues and linked to gene function, sequence variation, and regulatory features.

The paper maps eQTLs in Drosophila melanogaster using an outbred panel, identifying cis and trans regulatory loci for most expressed genes and revealing non-modular gene co-expression networks.

This paper introduces a low-cost method to validate SNP-level genetic effects in outbred populations, demonstrating its utility in Drosophila for longevity traits.

The paper examines how covariance patterns of phenotypes change during postnatal ontogeny in mammals and finds that these patterns stabilize after weaning, likely influenced by genetic processes.

EvolQG provides R tools for evolutionary quantitative genetics analyses, including covariance matrix calculations and hypothesis testing on taxa diversification.