Depth-resolved microbial community analyses in two contrasting soil cores contaminated by antimony and arsenic. (February 2017)

• Record Type: Journal Article
• Authors: Xiao, Enzong; Krumins, Valdis; Xiao, Tangfu; Dong, Yiran; Tang, Song; Ning, Zengping; Huang, Zhengyu; Sun, Weimin
• Is Part Of: Environmental pollution. Volume 221(2017)
• Page Start: 244
• Page End: 255
• Publication Date: 2017-02
• Subjects: Soil vertical profile -- 16S rRNA amplicon sequencing -- Co-occurrence network -- PICRUSt; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2016.11.071
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Investigation of microbial communities of soils contaminated by antimony (Sb) and arsenic (As) is necessary to obtain knowledge for their bioremediation. However, little is known about the depth profiles of microbial community composition and structure in Sb and As contaminated soils. Our previous studies have suggested that historical factors (i.e., soil and sediment) play important roles in governing microbial community structure and composition. Here, we selected two different types of soil (flooded paddy soil versus dry corn field soil) with co-contamination of Sb and As to study interactions between these metalloids, geochemical parameters and the soil microbiota as well as microbial metabolism in response to Sb and As contamination. Comprehensive geochemical analyses and 16S rRNA amplicon sequencing were used to shed light on the interactions of the microbial communities with their environments. A wide diversity of taxonomical groups was present in both soil cores, and many were significantly correlated with geochemical parameters. Canonical correspondence analysis (CCA) and co-occurrence networks further elucidated the impact of geochemical parameters (including Sb and As contamination fractions and sulfate, TOC, Eh, and pH) on vertical distribution of soil microbial communities. Metagenomes predicted from the 16S data using PICRUSt included arsenic metabolism genes such as arsenate reductase ( ArsC ), arsenite oxidase small subunit ( AoxA and AoxB ), and arsenite transporter ( ArsA and ACR3). In addition, predicted abundances of arsenate reductase ( ArsC ) and arsenite oxidase ( AoxA and AoxB ) genes were significantly correlated with Sb contamination fractions, These results suggest potential As biogeochemical cycling in both soil cores and potentially dynamic Sb biogeochemical cycling as well. Graphical abstract: Highlights: Two contrasting soil vertical profiles were selected. All vertical profiles were contaminated by antimony and arsenic. The contamination fractions shaped the innate soil microbiota. Metabolic potentials in soil microbiota indicated arsenic metabolism. Abstract : Microbial communities were investigated in two contrasting soil vertical profiles.