How workers within an ant colony perceive and enforce colony boundaries is a defining biological feature of an ant species. Ants fall along a spectrum of social organizations ranging from single-queen, single nest societies to species with multi-queen societies in which workers exhibit colony-specific, altruistic behaviors towards non-nestmate workers from distant locations. Defining where an ant species falls along this spectrum is critical for understanding its basic ecology. Herein we quantify queen numbers, describe intraspecific aggression, and characterize the distribution of colony sizes for tawny crazy ant (Nylanderia fulva) populations in native range areas in South America as well as in their introduced range in the Southeastern United States. In both ranges, multi-queen nests are common. In the introduced range, aggressive behaviors are absent at all spatial scales tested, indicating that within the population in the Southeastern United States N. fulva is unicolonial. However, this contrasts strongly with intraspecific aggression in its South American native range. In the native range, intraspecific aggression between ants from different nests is common and ritualized. Aggression is typically one-sided and follows a stereotyped sequence of escalating behaviors that stops before actual fighting occurs. Spatial patterns of non-aggressive nest aggregation and the transitivity of non-aggressive interactions demonstrate that results of neutral arena assays usefully delineate colony boundaries. In the native range, both the spatial extent of colonies and the average number of queens encountered per nest differ between sites. This intercontinental comparison presents the first description of intraspecific aggressive behavior for this invasive ant and characterizes the variation in colony organization in the native-range, a pre-requisite to a full understanding of the origins of unicoloniality in its introduced range.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874334PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225597PLOS

Publication Analysis

Top Keywords

introduced range
16
native range
16
intraspecific aggression
12
aggressive behavior
8
range
8
tawny crazy
8
colony boundaries
8
ant species
8
southeastern united
8
united states
8

Similar Publications

Robust text-dependent speaker verification system using gender aware Siamese-Triplet Deep Neural Network.

Network

December 2024

Department of Electronics and Communication Engineering, Dronacharya Group of Institutions, Greater Noida, UP, India.

Speaker verification in text-dependent scenarios is critical for high-security applications but faces challenges such as voice quality variations, linguistic diversity, and gender-related pitch differences, which affect authentication accuracy. This paper introduces a Gender-Aware Siamese-Triplet Network-Deep Neural Network (ST-DNN) architecture to address these challenges. The Gender-Aware Network utilizes Convolutional 2D layers with ReLU activation for initial feature extraction, followed by multi-fusion dense skip connections and batch normalization to integrate features across different depths, enhancing discrimination between male and female speakers.

View Article and Find Full Text PDF

This study introduces a high-performance 4-channel Metal-Insulator-Metal (MIM) diplexer, employing silver and Teflon, optimized for advanced photonic applications. The proposed diplexer, configured with two novel band-pass filters (BPFs), operates across four distinct wavelength bands (843 nm, 1090 nm, 1452 nm, 1675 nm) by precisely manipulating the passband dimensions. Utilizing Finite-Difference Time-Domain (FDTD) simulations, the designed diplexer achieves exceptional sensitivity values of 3500 nm/RIU, 4250 nm/RIU, 3375 nm/RIU, and 4003 nm/RIU, along with high figures of merit (FOM) ranging from 113.

View Article and Find Full Text PDF

Predicting host health status through an integrated machine learning framework: insights from healthy gut microbiome aging trajectory.

Sci Rep

December 2024

State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

The gut microbiome, recognized as a critical component in the development of chronic diseases and aging processes, constitutes a promising approach for predicting host health status. Previous research has underscored the potential of microbiome-based predictions, and the rapid advancements of machine learning techniques have introduced new opportunities for exploiting microbiome data. To predict various host nonhealthy conditions, this study proposed an integrated machine learning-based estimation pipeline of Gut Age Index (GAI) by establishing a health aging baseline with the gut microbiome data from healthy individuals.

View Article and Find Full Text PDF

This study focuses on enhancing solar energy capture efficiency by introducing innovative hybrid nanofluids for use in solar thermal collectors, whose performance largely depends on the absorption properties of the working fluid. The newly developed hybrid nanofluids, MXene/NH2-UiO66 (Zr) (noted as MX/UO66) and MXene/MIL-88B (Fe) (noted as MX/ML88), were synthesized using an in-situ solvothermal method, combining annealed Ti3C2Tx MXenes with water-stable metal-organic frameworks (MOFs). These nanofluids achieved high efficiency at low concentrations, providing both economic and performance benefits.

View Article and Find Full Text PDF

High-Performance Shear Mode Ultrasonic Transducer Operating at Ultrahigh Temperature Fabricated with BiSiO Piezoelectric Crystal.

ACS Appl Mater Interfaces

December 2024

Center for Optics Research and Engineering, State Key Laboratory of Crystal Materials, Shandong University, Qingdao 266237, China.

Shear mode ultrasonic waves are in high demand for structural health monitoring (SHM) applications owing to their nondispersive characteristics, singular mode, and minimal energy loss, especially in harsh environments. However, the generation and detection of a pure shear wave using conventional piezoelectric materials present substantial challenges because of their complex piezoelectric response, involving multiple modes. Herein, we introduce a high-quality piezoelectric crystal BiSiO (BSO), exhibiting a robust piezoelectric response ( = 45.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!