Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes
Artikel i vetenskaplig tidskrift, 2023

BACKGROUND: Bacterial communities in humans, animals, and the external environment maintain a large collection of antibiotic resistance genes (ARGs). However, few of these ARGs are well-characterized and thus established in existing resistance gene databases. In contrast, the remaining latent ARGs are typically unknown and overlooked in most sequencing-based studies. Our view of the resistome and its diversity is therefore incomplete, which hampers our ability to assess risk for promotion and spread of yet undiscovered resistance determinants. RESULTS: A reference database consisting of both established and latent ARGs (ARGs not present in current resistance gene repositories) was created. By analyzing more than 10,000 metagenomic samples, we showed that latent ARGs were more abundant and diverse than established ARGs in all studied environments, including the human- and animal-associated microbiomes. The pan-resistomes, i.e., all ARGs present in an environment, were heavily dominated by latent ARGs. In comparison, the core-resistome, i.e., ARGs that were commonly encountered, comprised both latent and established ARGs. We identified several latent ARGs shared between environments and/or present in human pathogens. Context analysis of these genes showed that they were located on mobile genetic elements, including conjugative elements. We, furthermore, identified that wastewater microbiomes had a surprisingly large pan- and core-resistome, which makes it a potentially high-risk environment for the mobilization and promotion of latent ARGs. CONCLUSIONS: Our results show that latent ARGs are ubiquitously present in all environments and constitute a diverse reservoir from which new resistance determinants can be recruited to pathogens. Several latent ARGs already had high mobile potential and were present in human pathogens, suggesting that they may constitute emerging threats to human health. We conclude that the full resistome-including both latent and established ARGs-needs to be considered to properly assess the risks associated with antibiotic selection pressures. Video Abstract.

Emerging resistance genes

Metagenomics

Antimicrobial resistance

Pan-resistome

Core-resistome

Författare

Juan Salvador Inda Diaz

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

David Lund

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Marcos Parras Moltó

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Anna Johnning

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Johan Bengtsson-Palme

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Göteborgs universitet

Chalmers, Life sciences, Systembiologi

Erik Kristiansson

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Centre for Antibiotic Resistance Research in Gothenburg (CARe)

Microbiome

2049-2618 (eISSN)

Vol. 11 1 44-

Nya resistensgener mot antibiotika och deras spridning i miljön

Vetenskapsrådet (VR) (2019-03482), 2020-01-01 -- 2023-12-31.

Etablering av normalnivåer för antibiotikaresistens i olika miljöer för miljöövervakning

Vetenskapsrådet (VR) (2019-00299), 2022-05-01 -- 2023-12-31.

Ämneskategorier

Mikrobiologi

Mikrobiologi inom det medicinska området

Genetik

DOI

10.1186/s40168-023-01479-0

PubMed

36882798

Mer information

Senast uppdaterat

2023-04-12