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Empirical Evidence of Arsenite Oxidase Gene as an Indicator Accounting for Arsenic Phytoextraction by Pteris vittata

Authors :
Ning Han
Chongyang Yang
Shunya Shimomura
Chihiro Inoue
Mei-Fang Chien
Source :
International Journal of Environmental Research and Public Health, Vol 19, Iss 1796, p 1796 (2022), International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1796
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Arsenic (As) is a toxic semi-metallic element that is ubiquitous in the environment and poses serious human health risks. Phytoextraction by Pteris vittata is considered a low-cost and environmentally friendly approach to treat As-contaminated soil. P. vittata mainly absorbs arsenate thus the bioavailability of As to P. vittata depends on the chemical form of As. Microbial redox of As contributes to the biogeochemical cycling of As, and rhizobacterium-assisted phytoextraction by P. vittata was proposed. In this study, this microbe-assisted phytoextraction was applied to two fields, and the effectiveness of phytoextraction was evaluated. The results revealed that P. vittata was able to grow in temperate and subarctic climate zones. The biomass was influenced by the weather, and the As concentration in plants was dependent on the As content in the soil. The ratio of arsenite oxidase genes (aioA-like genes) to 16S rRNA genes was employed to evaluate the effect of As phytoextraction, and the results exhibited that the ratio was related to the As concentration in P. vittata. Our results showed that arsenite oxidation in the rhizosphere might not be achieved by single-strain inoculation, while this study provided empirical evidence that the rhizospheric aioA-like genes could be an indicator for evaluating the effectiveness of As phytoextraction.

Details

Language :
English
ISSN :
16617827 and 16604601
Volume :
19
Issue :
1796
Database :
OpenAIRE
Journal :
International Journal of Environmental Research and Public Health
Accession number :
edsair.doi.dedup.....b35471fca4b055f1c0a43513b51baba9