{"title":"四环素抗性基因在有机肥改良土壤-大米连续体中的分布","authors":"Qing Li , Yang Zhang , Jian Hu , Qigen Dai","doi":"10.1016/j.rhisph.2024.100955","DOIUrl":null,"url":null,"abstract":"<div><p>The transmission of antibiotic resistance genes (ARGs) to humans through the consumption of plants grown in manure-amended soils is a critical concern. However, the effect of manure application on the profiles of tetracycline resistance genes (TRGs) within the soil–rice continuum remains unclear. In this study, tetracycline (TC) content, bacterial communities, abundance of 8 TRGs, and class 1 integron (<em>int</em>I1) were characterized using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), Illumina sequencing, and quantitative PCR (qPCR) in rhizosphere soils, roots, and grains of rice exposed to pig manure (PM), rapeseed cake (RC), and chemical fertilizer (CF), respectively. Our findings indicate that the type of sample was the primary determinant of TRGs abundance variation within the soil-rice continuum, with a consistent decline from rhizosphere soils to roots to grains. Furthermore, fertilization type significantly influenced TRGs abundance, with the highest levels observed in PM treatment. <em>Tet</em>Z and <em>tet</em>X were predominant, constituting over 90% of total TRGs abundance across all samples. In addition, the mechanism of TRGs profile formation varies with sample types. Bacterial communities-TC content-<em>int</em>I1 interactions determined the change in TRGs abundance in rhizosphere soils, and bacterial communities constituted the most important factor affecting TRGs abundance within the roots. However, bacterial communities and/or <em>int</em>I1 poorly explained the change in TRGs abundance within the grains. Our study attempts to explore the underlying mechanism for the profiles of TRGs in soil–rice continuums exposed to manure, as well as provides a theoretical basis for controlling the spread of endogenous antibiotic resistance within rice grown in soil receiving pig manure.</p></div>","PeriodicalId":48589,"journal":{"name":"Rhizosphere","volume":"31 ","pages":"Article 100955"},"PeriodicalIF":3.4000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution of tetracycline resistance genes within an organic fertilizer-amended soil–rice continuum\",\"authors\":\"Qing Li , Yang Zhang , Jian Hu , Qigen Dai\",\"doi\":\"10.1016/j.rhisph.2024.100955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The transmission of antibiotic resistance genes (ARGs) to humans through the consumption of plants grown in manure-amended soils is a critical concern. However, the effect of manure application on the profiles of tetracycline resistance genes (TRGs) within the soil–rice continuum remains unclear. In this study, tetracycline (TC) content, bacterial communities, abundance of 8 TRGs, and class 1 integron (<em>int</em>I1) were characterized using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), Illumina sequencing, and quantitative PCR (qPCR) in rhizosphere soils, roots, and grains of rice exposed to pig manure (PM), rapeseed cake (RC), and chemical fertilizer (CF), respectively. Our findings indicate that the type of sample was the primary determinant of TRGs abundance variation within the soil-rice continuum, with a consistent decline from rhizosphere soils to roots to grains. Furthermore, fertilization type significantly influenced TRGs abundance, with the highest levels observed in PM treatment. <em>Tet</em>Z and <em>tet</em>X were predominant, constituting over 90% of total TRGs abundance across all samples. In addition, the mechanism of TRGs profile formation varies with sample types. Bacterial communities-TC content-<em>int</em>I1 interactions determined the change in TRGs abundance in rhizosphere soils, and bacterial communities constituted the most important factor affecting TRGs abundance within the roots. However, bacterial communities and/or <em>int</em>I1 poorly explained the change in TRGs abundance within the grains. Our study attempts to explore the underlying mechanism for the profiles of TRGs in soil–rice continuums exposed to manure, as well as provides a theoretical basis for controlling the spread of endogenous antibiotic resistance within rice grown in soil receiving pig manure.</p></div>\",\"PeriodicalId\":48589,\"journal\":{\"name\":\"Rhizosphere\",\"volume\":\"31 \",\"pages\":\"Article 100955\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rhizosphere\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452219824001101\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rhizosphere","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452219824001101","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Distribution of tetracycline resistance genes within an organic fertilizer-amended soil–rice continuum
The transmission of antibiotic resistance genes (ARGs) to humans through the consumption of plants grown in manure-amended soils is a critical concern. However, the effect of manure application on the profiles of tetracycline resistance genes (TRGs) within the soil–rice continuum remains unclear. In this study, tetracycline (TC) content, bacterial communities, abundance of 8 TRGs, and class 1 integron (intI1) were characterized using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), Illumina sequencing, and quantitative PCR (qPCR) in rhizosphere soils, roots, and grains of rice exposed to pig manure (PM), rapeseed cake (RC), and chemical fertilizer (CF), respectively. Our findings indicate that the type of sample was the primary determinant of TRGs abundance variation within the soil-rice continuum, with a consistent decline from rhizosphere soils to roots to grains. Furthermore, fertilization type significantly influenced TRGs abundance, with the highest levels observed in PM treatment. TetZ and tetX were predominant, constituting over 90% of total TRGs abundance across all samples. In addition, the mechanism of TRGs profile formation varies with sample types. Bacterial communities-TC content-intI1 interactions determined the change in TRGs abundance in rhizosphere soils, and bacterial communities constituted the most important factor affecting TRGs abundance within the roots. However, bacterial communities and/or intI1 poorly explained the change in TRGs abundance within the grains. Our study attempts to explore the underlying mechanism for the profiles of TRGs in soil–rice continuums exposed to manure, as well as provides a theoretical basis for controlling the spread of endogenous antibiotic resistance within rice grown in soil receiving pig manure.
RhizosphereAgricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
5.70
自引率
8.10%
发文量
155
审稿时长
29 days
期刊介绍:
Rhizosphere aims to advance the frontier of our understanding of plant-soil interactions. Rhizosphere is a multidisciplinary journal that publishes research on the interactions between plant roots, soil organisms, nutrients, and water. Except carbon fixation by photosynthesis, plants obtain all other elements primarily from soil through roots.
We are beginning to understand how communications at the rhizosphere, with soil organisms and other plant species, affect root exudates and nutrient uptake. This rapidly evolving subject utilizes molecular biology and genomic tools, food web or community structure manipulations, high performance liquid chromatography, isotopic analysis, diverse spectroscopic analytics, tomography and other microscopy, complex statistical and modeling tools.