Yulong Li , Qin Chen , Chao Chang , Mian Zhang , Ming Li , Langjun Cui
{"title":"大陆尺度城市绿地土壤生物结皮中抗生素抗性组的生物地理格局","authors":"Yulong Li , Qin Chen , Chao Chang , Mian Zhang , Ming Li , Langjun Cui","doi":"10.1016/j.apsoil.2025.106150","DOIUrl":null,"url":null,"abstract":"<div><div>The distribution patterns of antibiotic resistomes in biological soil crusts (biocrusts) and the underlying factors influencing them remain poorly understood. Here, metagenomic sequencing was used to profile antibiotic resistomes in biocrusts of urban green space soils in 54 cities across China. The biocrust samples harbored ARGs associated with resistance against 21 classes of antibiotics such as betalactams, quinolones, aminoglycosides, and tetracyclines. Total ARG abundance was positively correlated with total phosphorus, available phosphorus, and lignin concentrations in biocrusts. The geographic factors, environmental factors, and DOM components only explained 18.1 % of the total variation of resistome in 54 samples, whereas the bacterial and mobile genetic element (MGE) communities explained 59.3 % of the total variation. In contrast with deterministic processes, stochastic processes played a more dominant role in shaping the resistomes across different samples (average stochasticity: 81.2 %) and were correlated with MGE communities. Findings of the present study demonstrate the ecological distribution of antibiotic resistomes in biocrusts of urban green spaces under different biotic and abiotic conditions over a continental scale.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"212 ","pages":"Article 106150"},"PeriodicalIF":4.8000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biogeographical patterns of antibiotic resistomes in soil biocrusts from urban green spaces at the continental scale\",\"authors\":\"Yulong Li , Qin Chen , Chao Chang , Mian Zhang , Ming Li , Langjun Cui\",\"doi\":\"10.1016/j.apsoil.2025.106150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The distribution patterns of antibiotic resistomes in biological soil crusts (biocrusts) and the underlying factors influencing them remain poorly understood. Here, metagenomic sequencing was used to profile antibiotic resistomes in biocrusts of urban green space soils in 54 cities across China. The biocrust samples harbored ARGs associated with resistance against 21 classes of antibiotics such as betalactams, quinolones, aminoglycosides, and tetracyclines. Total ARG abundance was positively correlated with total phosphorus, available phosphorus, and lignin concentrations in biocrusts. The geographic factors, environmental factors, and DOM components only explained 18.1 % of the total variation of resistome in 54 samples, whereas the bacterial and mobile genetic element (MGE) communities explained 59.3 % of the total variation. In contrast with deterministic processes, stochastic processes played a more dominant role in shaping the resistomes across different samples (average stochasticity: 81.2 %) and were correlated with MGE communities. Findings of the present study demonstrate the ecological distribution of antibiotic resistomes in biocrusts of urban green spaces under different biotic and abiotic conditions over a continental scale.</div></div>\",\"PeriodicalId\":8099,\"journal\":{\"name\":\"Applied Soil Ecology\",\"volume\":\"212 \",\"pages\":\"Article 106150\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Soil Ecology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0929139325002884\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Soil Ecology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0929139325002884","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
Biogeographical patterns of antibiotic resistomes in soil biocrusts from urban green spaces at the continental scale
The distribution patterns of antibiotic resistomes in biological soil crusts (biocrusts) and the underlying factors influencing them remain poorly understood. Here, metagenomic sequencing was used to profile antibiotic resistomes in biocrusts of urban green space soils in 54 cities across China. The biocrust samples harbored ARGs associated with resistance against 21 classes of antibiotics such as betalactams, quinolones, aminoglycosides, and tetracyclines. Total ARG abundance was positively correlated with total phosphorus, available phosphorus, and lignin concentrations in biocrusts. The geographic factors, environmental factors, and DOM components only explained 18.1 % of the total variation of resistome in 54 samples, whereas the bacterial and mobile genetic element (MGE) communities explained 59.3 % of the total variation. In contrast with deterministic processes, stochastic processes played a more dominant role in shaping the resistomes across different samples (average stochasticity: 81.2 %) and were correlated with MGE communities. Findings of the present study demonstrate the ecological distribution of antibiotic resistomes in biocrusts of urban green spaces under different biotic and abiotic conditions over a continental scale.
期刊介绍:
Applied Soil Ecology addresses the role of soil organisms and their interactions in relation to: sustainability and productivity, nutrient cycling and other soil processes, the maintenance of soil functions, the impact of human activities on soil ecosystems and bio(techno)logical control of soil-inhabiting pests, diseases and weeds.