Antibiotic resistance patterns in soils across the Scottish landscape

Antibiotic resistance patterns in soils across the Scottish landscape
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DOI:
10.1038/s43247-023-01057-0
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发表时间:
2023-11
期刊:
Communications Earth & Environment
影响因子:
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通讯作者:
E. Pagaling;Rupert Hough;Lisa Avery;Lucinda Robinson;Thomas Freitag;Malcolm Coull;Xinyuan Zhou;Jian-Qiang Su;Tatyana Peshkur;Yong-Guan Zhu;David W. Graham;Charles W. Knapp
E. Pagaling;Rupert Hough;Lisa Avery;Lucinda Robinson;Thomas Freitag;Malcolm Coull;Xinyuan Zhou;Jian-Qiang Su;Tatyana Peshkur;Yong-Guan Zhu;David W. Graham;Charles W. Knapp
中科院分区:
其他
文献类型:
--
作者:
E. Pagaling;Rupert Hough;Lisa Avery;Lucinda Robinson;Thomas Freitag;Malcolm Coull;Xinyuan Zhou;Jian-Qiang Su;Tatyana Peshkur;Yong-Guan Zhu;David W. Graham;Charles W. Knapp

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环境传播了抗菌素耐药性基因;然而,要区分人类活动是否加剧了抗菌素耐药性,还是什么是自然的,仍然具有挑战性。在这里,我们量化了200多个苏格兰土壤样本中的约300个抗性相关基因。地理位置或土地利用不能解释基因差异,但营养水平会降低基因丰富度。金属水平的升高增加了基因的丰富度,而硒则增加了转座酶的水平。降雨和持久性有机污染物也增加了转座酶的相对丰度,可能促进了有利于抗菌素耐药基因水平转移的条件。硒和多氯联苯是影响基因丰度的主要因素,而多氯联苯、多环芳烃和pH影响基因多样性。多氯联苯来源于人类活动,突出了人类活动对基因流行的潜在影响。这是苏格兰土壤中第一个全国性、高空间分辨率的抗菌素耐药性基因数据集,并为未来的研究提供了一个新的资源。
The environment disseminates antimicrobial-resistance genes; however, it remains challenging to distinguish whether human activities exacerbate antimicrobial resistance or what is natural. Here, we quantified ~300 resistance-related genes in 200+ Scottish soil samples. Location or land use does not explain gene differences, but nutrient levels reduce gene richness. Elevated levels of metals increased gene richness, and selenium increased transposase levels. Rainfall and persistent organic pollutants also increased transposase relative abundance, possibly promoting conditions conducive to the horizontal transfer of antimicrobial-resistance genes. Selenium and polychlorinated biphenyls were primary factors in gene abundance, while polychlorinated biphenyls, polycyclic aromatic hydrocarbons, and pH influenced gene diversity. Polychlorinated biphenyls are derived from anthropogenic activities, highlighting human activities’ potential impact on gene prevalence. This is the first national-scale, high spatial resolution dataset of antimicrobial-resistance genes in Scottish soils and provides a novel resource on which to build future studies.