Biology subjects

Lucas-Lledo, J. I.

Publications and source records attributed to Lucas-Lledo, J. I..

2 recordsLinked to original sources

bioRxiv2025

Age-dependent gut microbiota dynamics and their association with male fitness traits in Drosophila melanogaster

Growing evidence suggests that the gut microbiota plays a key role in shaping life history in a wide range of species, including well-studied model organisms like Drosophila melanogaster. Although recent studies have explored the relationship between gut microbiota and female life history, the link between gut microbiota and male life history remains understudied. In this study, we explored the role of gut microbiota in shaping male life history traits by correlating variation in life history traits across genetically homogeneous isolines with their naturally occurring gut microbiota. Using 22 isolines from the Drosophila melanogaster Genetic Reference Panel (DGRP), we measured lifespan, early/late-life reproduction, and early/late-life physiological performance. We characterized the gut microbiota composition in young (5 days old) and old (26 days old) flies using 16S rDNA sequencing. We observed significant variation in male life history traits across isolines, as well as age-related changes in gut microbiota composition. Using machine learning, we showed that gut microbiota composition could predict the age of the organisms with high accuracy. Associations between gut microbiota and life history traits were notable, particularly involving the Acetobacter genus. In early life, the abundance of Acetobacter ascendens was associated with functional aging, while Acetobacter indonesiensis was linked to reproductive senescence. In late life, higher abundances of A. ascendens and Acetobacter pasteurianus were negatively associated with lifespan. These findings highlight the potential role of gut microbiota, especially the Acetobacter genus, in male fitness and aging.

microbiology↗

bioRxiv2022

Rtapas: An R package to assess cophylogenetic signal between two evolutionary histories

Cophylogeny represents a framework to understand how ecological and evolutionary process influence lineage diversification. However, linking patterns to mechanisms remains a major challenge. The recently developed Random Tanglegram Partitions provides a directly interpretable statistic to quantify the strength of cophylogenetic signal, maps onto a tanglegram the contribution to phylogenetic signal of individual host-symbiont associations, and can incorporate phylogenetic uncertainty into estimation of cophylogenetic signal. We introduce Rtapas (v1.2), an R package to perform Random Tanglegram Partitions. Rtapas applies a given global-fit method to random partial tanglegrams of a fixed size to identify the associations, terminals, and nodes that maximize phylogenetic congruence. Rtapas extends the original implementation with a new algorithm that tests phylogenetic incongruence and adds ParaFit, a method designed to test for topological congruence between two phylogenies using patristic distances, to the list of global-fit methods than can be applied. Rtapas can particularly cater for the need for causal inference in cophylogeny as demonstrated herein using to two real-world systems. One involves assessing topological (in)congruence between phylogenies produced with different DNA markers and identifying the particular associations that contribute most to topological incongruence, whereas the other implies analyzing the evolutionary histories of symbiont partners in a large dataset. Rtapas facilitates and speeds up cophylogenetic analysis, as it can handle large phylogenies reducing computational time, and is directly applicable to any scenario that may show phylogenetic congruence (or incongruence).

evolutionary biology↗