Distance-decay equations of antibiotic resistance genes across freshwater reservoirs

•Quantile regression more realistically quantify distance-decay equation of ARGs.•Study scales influence the understanding of biogeographical patterns of ARGs.•Data emergence has facilitated application of QR in the domain of DDR. Distance-decay (DD) equations can discern the biogeographical pattern...

Full description

Saved in:
Bibliographic Details
Published in:Water research (Oxford) 2024-07, Vol.258, p.121830, Article 121830
Main Authors: Guo, Zhao-Feng, Das, Kiranmoy, Boeing, Wiebke J., Xu, Yao-Yang, Borgomeo, Edoardo, Zhang, Dong, Ao, Si-Cheng, Yang, Xiao-Ru
Format: Article
Language:English
Subjects:
Antibiotic resistance genes
Dissemination potential
Distance-decay equation
Freshwater reservoirs
Quantile regression
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Quantile regression more realistically quantify distance-decay equation of ARGs.•Study scales influence the understanding of biogeographical patterns of ARGs.•Data emergence has facilitated application of QR in the domain of DDR. Distance-decay (DD) equations can discern the biogeographical pattern of organisms and genes in a better way with advanced statistical methods. Here, we developed a data Compilation, Arrangement, and Statistics framework to advance quantile regression (QR) into the generation of DD equations for antibiotic resistance genes (ARGs) across various spatial scales using freshwater reservoirs as an illustration. We found that QR is superior at explaining dissemination potential of ARGs to the traditionally used least squares regression (LSR). This is because our model is based on the ‘law of limiting factors’, which reduces influence of unmeasured factors that reduce the efficacy of the LSR method. DD equations generated from the 99th QR model for ARGs were ‘Sall = 90.03e−0.01Dall’ in water and ‘Sall = 92.31e−0.011Dall’ in sediment. The 99th QR model was less impacted by uneven sample sizes, resulting in a better quantification of ARGs dissemination. Within an individual reservoir, the 99th QR model demonstrated that there is no dispersal limitation of ARGs at this smaller spatial scale. The QR method not only allows for construction of robust DD equations that better display dissemination of organisms and genes across ecosystems, but also provides new insights into the biogeography exhibited by key parameters, as well as the interactions between organisms and environment. [Display omitted]
ISSN:0043-1354
1879-2448
1879-2448
DOI:10.1016/j.watres.2024.121830