Antimicrobial resistance (AMR) genes are often carried on broad host range plasmids, and the spread of AMR within microbial communities will therefore depend on the structure of bacteria–plasmid networks. Empirical and theoretical studies of ecological interaction networks suggest that network structure differs between communities that are predominantly mutualistic versus antagonistic, with the former showing more generalized interactions (i.e., species interact with many others to a similar extent). This suggests that mutualistic bacteria–plasmid networks—where antibiotics are present and plasmids carry AMR genes—will be more generalized than antagonistic interactions, where plasmids do not confer benefits to their hosts. We first develop a simple theory to explain this link: fitness benefits of harboring a mutualistic symbiont promote the spread of the symbiont to other species. We find support for this theory using an experimental bacteria–symbiont (plasmid) community, where the same plasmid can be mutualistic or antagonistic depending on the presence of antibiotics. This short-term and parsimonious mechanism complements a longer-term mechanism (coevolution and stability) explaining the link between mutualistic and antagonistic interactions and network structure.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295774PMC
http://dx.doi.org/10.1073/pnas.2118361119DOI Listing

Publication Analysis

Top Keywords

interaction networks
8
network structure
8
antagonistic interactions
8
mutualistic antagonistic
8
mutualistic
5
fitness effects
4
plasmids
4
effects plasmids
4
plasmids shape
4
structure
4

Similar Publications

Dysregulation of long non-coding RNAs (lncRNAs) is implicated in the pathophysiology of ischemic stroke (IS). However, the molecular mechanism of the lncRNA SERPINB9P1 in IS remains unclear. Our study aimed to explore the role and molecular mechanism of the lncRNA SERPINB9P1 in IS.

View Article and Find Full Text PDF

Limited treatment options are available for bladder cancer (BCa) resulting in extremely high mortality rates. Cyclovirobuxine D (CVB-D), a naturally alkaloid, reportedly exhibits notable antitumor activity against diverse tumor types. However, its impact on CVB-D on BCa and its precise molecular targets remain unexplored.

View Article and Find Full Text PDF

The MADS-RIPENING INHIBITOR-DIVARICATA1 module regulates carotenoid biosynthesis in nonclimacteric Capsicum fruits.

Plant Physiol

January 2025

Key Laboratory for Vegetable Biology of Hunan Province, Engineering Research Center for Horticultural Crop Germplasm Creation and New Variety Breeding, Ministry of Education, College of Horticulture, Hunan Agricultural University, Changsha 410125, China.

Carotenoids play indispensable roles in the ripening process of fleshy fruits. Capsanthin is a widely distributed and utilized natural red carotenoid. However, the regulatory genes involved in capsanthin biosynthesis remain insufficient.

View Article and Find Full Text PDF

Construction of Supramolecular Polymer Network Elastomers Based on Pillar[5]arene/Alkyl Chain Host-Guest Interactions.

ACS Macro Lett

January 2025

Key Laboratory of Materials Chemistry for Energy Conversion and Storage, Ministry of Education, Hubei Key Laboratory of Materials Chemistry and Service Failure, Hubei Engineering Research Center for Biomaterials and Medical Protective Materials, State Key Laboratory of Materials Processing and Die & Mould Technology, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

As a special kind of supramolecular compound with many favorable properties, pillar[]arene-based supramolecular polymer networks (SPNs) show potential application in many fields. Although we have come a long way using pillar[]arene to prepare SPNs and construct a series of smart materials, it remains a challenge to enhance the mechanical strength of pillar[]arene-based SPNs. To address this issue, a new supramolecular regulation strategy was developed, which could precisely control the preparation of pillar[]arene-based SPN materials with excellent mechanical properties by adjusting the polymer network structures.

View Article and Find Full Text PDF

EOSnet: Embedded Overlap Structures for Graph Neural Networks in Predicting Material Properties.

J Phys Chem Lett

January 2025

Department of Physics, Rutgers University, Newark, New Jersey 07102, United States of America.

Graph Neural Networks (GNNs) have emerged as powerful tools for predicting material properties, yet they often struggle to capture many-body interactions and require extensive manual feature engineering. Here, we present EOSnet (Embedded Overlap Structures for Graph Neural Networks), a novel approach that addresses these limitations by incorporating Gaussian Overlap Matrix (GOM) fingerprints as node features within the GNN architecture. Unlike models that rely on explicit angular terms or human-engineered features, EOSnet efficiently encodes many-body interactions through orbital overlap matrices, providing a rotationally invariant and transferable representation of atomic environments.

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!