Historical trajectories of antibiotics resistance genes assessed through sedimentary DNA analysis of a subtropical eutrophic lakeShow others and affiliations
2024 (English)In: Environment International, ISSN 0160-4120, E-ISSN 1873-6750, Vol. 186, article id 108654Article in journal (Refereed) Published
Abstract [en]
Investigating the occurrence of antibiotic-resistance genes (ARGs) in sedimentary archives provides opportunities for reconstructing the distribution and dissemination of historical (i.e., non-anthropogenic origin) ARGs. Although ARGs in freshwater environments have attracted great attention, historical variations in the diversity and abundance of ARGs over centuries to millennia remain largely unknown. In this study, we investigated the vertical change patterns of bacterial communities, ARGs and mobile genetic elements (MGEs) found in sediments of Lake Chenghai spanning the past 600 years. Within resistome preserved in sediments, 177 ARGs subtypes were found with aminoglycosides and multidrug resistance being the most abundant. The ARG abundance in the upper sediment layers (equivalent to the post-antibiotic era since the 1940s) was lower than those during the pre-antibiotic era, whereas the ARG diversity was higher during the post-antibiotic era, possibly because human-induced lake eutrophication over the recent decades facilitated the spread and proliferation of drug-resistant bacteria. Statistical analysis suggested that MGEs abundance and the bacterial community structure were significantly correlated with the abundance and diversity of ARGs, suggesting that the occurrence and distribution of ARGs may be transferred between different bacteria by MGEs. Our results provide new perspectives on the natural history of ARGs in freshwater environments and are essential for understanding the temporal dynamics and dissemination of ARGs.
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 186, article id 108654
Keywords [en]
ARGs, Bacterial community, HT-qPCR, MGEs, Sedimentary DNA
National Category
Ecology
Identifiers
URN: urn:nbn:se:umu:diva-223614DOI: 10.1016/j.envint.2024.108654ISI: 001299470800001PubMedID: 38621322Scopus ID: 2-s2.0-85190308164OAI: oai:DiVA.org:umu-223614DiVA, id: diva2:1855394
Funder
Swedish Research Council, 2023-035042024-04-302024-04-302025-04-24Bibliographically approved