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。

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Elena Belykh, Tatiana Maystrenko, Ilya Velegzhaninov, Elena Rasova, Marina Tavleeva, Anna Rybak
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引用次数: 0

摘要

采用16S rRNA基因测序方法,对俄罗斯科米共和国受226Ra天然放射性核素污染土壤细菌群落的分类多样性和结构进行了分析。在高分类水平上,细菌群落的多样性指数以及结构和组成与区域剖面相一致。假单胞菌门和酸杆菌门占主导地位,其余门占总数的10%或更少。无季节差异记录。尽管如此,最丰富的门对污染土壤群落组成的贡献与参考值存在显著差异,假单胞菌门的份额从30.7±5.4增加到37.9±3.7%,而酸杆菌门的份额从21.5±7.4减少到12.4±3.6%。在较低的分类水平上,诸如Geobacter、Gaiella、Sphingomonas、sulficaulis、Flavihumibacter、Rhodoplanes和Solirubrobacter等群体由于能够在与高水平放射性核素相关的氧化应激条件下茁壮成长而获得竞争优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
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.
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