ReviewMicrobial biotechnology2021
Microbial interaction with and tolerance of radionuclides: underlying mechanisms and biotechnological applications.
Review in Microbial biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Review
- Dramatic loss of microbial viability in bentonite exposed to heat and gamma radiation: implications for deep geological repository.World journal of microbiology & biotechnology · 2024Article
- Insights into the Impact of Physicochemical and Microbiological Parameters on the Safety Performance of Deep Geological Repositories.Microorganisms · 2024Review
- Potential applications of microbial genomics in nuclear non-proliferation.Frontiers in microbiology · 2024Review
- Article
- Radioactivity as a driver of bacterial community composition in naturally radioactive mineral springs in the French Massif Central.Frontiers in microbiology · 2024Article
- Towards the microbial home: An overview of developments in next-generation sustainable architecture.Microbial biotechnology · 2023Article
- Red imported fire ant nesting affects the structure of soil microbial community.Frontiers in cellular and infection microbiology · 2023Article
- Impact of microbial processes on the safety of deep geological repositories for radioactive waste.Frontiers in microbiology · 2023Review
- Role of Ectomycorrhizal Symbiosis Behind the Host Plants Ameliorated Tolerance Against Heavy Metal Stress.Frontiers in microbiology · 2022Review
- Effect of different phosphate sources on uranium biomineralization by theFrontiers in microbiology · 2022Article
- Microbial interaction with and tolerance of radionuclides: underlying mechanisms and biotechnological applications.Microbial biotechnology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radionuclides (RNs) generated by nuclear and civil industries are released in natural ecosystems and may have a hazardous impact on human health and the environment. RN-polluted environments harbour different microbial species that become highly tolerant of these elements through mechanisms including biosorption, biotransformation, biomineralization and intracellular accumulation. Such microbial-RN interaction processes hold biotechnological potential for the design of bioremediation strategies to deal with several contamination problems. This paper, with its multidisciplinary approach, provides a state-of-the-art review of most research endeavours aimed to elucidate how microbes deal with radionuclides and how they tolerate ionizing radiations. In addition, the most recent findings related to new biotechnological applications of microbes in the bioremediation of radionuclides and in the long-term disposal of nuclear wastes are described and discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.