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Biology subjects

Economo, E.

Publications and source records attributed to Economo, E..

3 recordsLinked to original sources

Pumping Venom: Valvilli Architecture and Implications for Stinger Functionality

The internal structure of the insect stinger plays a central role in venom delivery, yet critical components in this process remain poorly understood. Of these, the valvilli, a pair of articulated structures within the valve chamber that act as flaps, have often been overlooked or described only superficially. Here, we use high-resolution micro-computed tomography (micro-CT), histological sectioning, and confocal laser scanning microscopy (CLSM) to characterize the fine morphology and material composition of the cuticle of ant valvilli. We report structural differentiation within the valvilli, including sharply delimited material zones that may correspond to distinct mechanical properties. CLSM imaging highlights variation in sclerotization, resilin distribution, and ultrastructure, indicating that the valvilli are not uniform flap-like elements but rather complex, partially deformable structures. Furthermore, comparative micro-CT scans of stingers fixed in different actuation states indicate the involvement of a non-antiphasic pattern of valvilli movement during stinger deployment, challenging the current understanding of valvilli-assisted pumping based on rhythmic, alternating movements, as inferred from European honeybees. These findings offer new anatomical insight into the architecture of the ant stinger and provide a refined morphological basis for future studies of venom delivery mechanisms in Hymenoptera; to also foster our understanding of the complex functionality of micro-scale injection and pumping systems in insects.

zoology↗

Infection signaling and antimicrobial wound care in an ant society

Infected wounds pose a major mortality risk in animals1,2. Injuries are common in the ant Megaponera analis, which raids pugnacious prey3,4. Here we show that M. analis can determine when wounds are infected and treat them accordingly. By applying a variety of antimicrobial compounds and proteins secreted from the metapleural gland to infected wounds, workers reduce the mortality of infected individuals by 90%. Chemical analyses showed that wound infection is associated with specific changes in the cuticular hydrocarbon profile, thereby likely allowing nestmates to diagnose the infection state of injured individuals and apply the appropriate antimicrobial treatment. This study demonstrates that the targeted use of antimicrobials to treat infected wounds, previously thought to be a uniquely human behavior, has evolved in insect societies as well.

animal behavior and cognition↗

TREEasy: an automated workflow to infer gene trees, species trees, and phylogenetic networks from multilocus data

Multilocus genomic datasets can be used to infer a rich set of information about the evolutionary history of a lineage, including gene trees, species trees, and phylogenetic networks. However, user-friendly tools to run such integrated analyses are lacking, and workflows often require tedious reformatting and handling time to shepherd data through a series of individual programs. Here, we present a tool written in Python--TREEasy--that performs automated sequence alignment (with MAFFT), gene tree inference (with IQ-Tree), species inference from concatenated data (with IQ-Tree), species tree inference from gene trees (with ASTRAL, MP-EST, and STELLS2), and phylogenetic network inference (with SNaQ and PhyloNet). The tool only requires FASTA files and nine parameters as inputs. The Tool can be run as command line or through a Graphical User Interface (GUI). As examples, we reproduced a recent analysis of staghorn coral evolution, and performed a new analysis on the evolution of the WGD clade of yeast. The latter revealed novel inferences that were not identified by previous analyses. TREEasy represents a reliable and simple tool to accelerate research in systematic biology (https://github.com/MaoYafei/TREEasy).

evolutionary biology↗