Elena Belykh, Tatiana Maystrenko, Ilya Velegzhaninov, Elena Rasova, Marina Tavleeva, Anna Rybak
{"title":"评估受天然放射性核素污染的土壤对细菌群落的长期影响。","authors":"Elena Belykh, Tatiana Maystrenko, Ilya Velegzhaninov, Elena Rasova, Marina Tavleeva, Anna Rybak","doi":"10.1007/s10661-025-14303-z","DOIUrl":null,"url":null,"abstract":"<div><p>The taxonomic diversity and structure of bacterial communities of soil contaminated with natural radionuclides resulting from <sup>226</sup>Ra production activities (Komi Republic, Russia) was analyzed by sequencing a fragment of the 16S rRNA gene. The diversity indices as well as the structure and the composition of the bacterial community at high taxonomic level were corresponded to the regional profile. The Pseudomonadota and Acidobacteriota phyla are dominating while the remaining phyla account for 10% or less of the total. No seasonal differences were recorded. Despite this, the contribution of the most abundant phyla to the contaminated soil community composition varied significantly from the reference as the share of Pseudomonadota is increasing from 30.7 ± 5.4 to 37.9 ± 3.7% while Acidobacteriota on the contrary is decreasing from 21.5 ± 7.4 to 12.4 ± 3.6%. At a lower taxonomic level, such groups as <i>Geobacter</i>, <i>Gaiella</i>, <i>Sphingomonas</i>, <i>Sulfuricaulis</i>, <i>Flavihumibacter</i>, <i>Rhodoplanes</i>, and <i>Solirubrobacter</i> obtained competitive advantages due to their ability to thrive under oxidative stress conditions associated with high levels of radionuclides.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 7","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of long-term impact of soil contaminated with naturally occurring radionuclides on bacterial communities\",\"authors\":\"Elena Belykh, Tatiana Maystrenko, Ilya Velegzhaninov, Elena Rasova, Marina Tavleeva, Anna Rybak\",\"doi\":\"10.1007/s10661-025-14303-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The taxonomic diversity and structure of bacterial communities of soil contaminated with natural radionuclides resulting from <sup>226</sup>Ra production activities (Komi Republic, Russia) was analyzed by sequencing a fragment of the 16S rRNA gene. The diversity indices as well as the structure and the composition of the bacterial community at high taxonomic level were corresponded to the regional profile. The Pseudomonadota and Acidobacteriota phyla are dominating while the remaining phyla account for 10% or less of the total. No seasonal differences were recorded. Despite this, the contribution of the most abundant phyla to the contaminated soil community composition varied significantly from the reference as the share of Pseudomonadota is increasing from 30.7 ± 5.4 to 37.9 ± 3.7% while Acidobacteriota on the contrary is decreasing from 21.5 ± 7.4 to 12.4 ± 3.6%. At a lower taxonomic level, such groups as <i>Geobacter</i>, <i>Gaiella</i>, <i>Sphingomonas</i>, <i>Sulfuricaulis</i>, <i>Flavihumibacter</i>, <i>Rhodoplanes</i>, and <i>Solirubrobacter</i> obtained competitive advantages due to their ability to thrive under oxidative stress conditions associated with high levels of radionuclides.</p></div>\",\"PeriodicalId\":544,\"journal\":{\"name\":\"Environmental Monitoring and Assessment\",\"volume\":\"197 7\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Monitoring and Assessment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10661-025-14303-z\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10661-025-14303-z","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Assessment of long-term impact of soil contaminated with naturally occurring radionuclides on bacterial communities
The taxonomic diversity and structure of bacterial communities of soil contaminated with natural radionuclides resulting from 226Ra production activities (Komi Republic, Russia) was analyzed by sequencing a fragment of the 16S rRNA gene. The diversity indices as well as the structure and the composition of the bacterial community at high taxonomic level were corresponded to the regional profile. The Pseudomonadota and Acidobacteriota phyla are dominating while the remaining phyla account for 10% or less of the total. No seasonal differences were recorded. Despite this, the contribution of the most abundant phyla to the contaminated soil community composition varied significantly from the reference as the share of Pseudomonadota is increasing from 30.7 ± 5.4 to 37.9 ± 3.7% while Acidobacteriota on the contrary is decreasing from 21.5 ± 7.4 to 12.4 ± 3.6%. At a lower taxonomic level, such groups as Geobacter, Gaiella, Sphingomonas, Sulfuricaulis, Flavihumibacter, Rhodoplanes, and Solirubrobacter obtained competitive advantages due to their ability to thrive under oxidative stress conditions associated with high levels of radionuclides.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.