Structure and core taxa of bacterial communities involved in extracellular electron transfer in paddy soils across China

Sci Total Environ. 2022 Oct 20:844:157196. doi: 10.1016/j.scitotenv.2022.157196. Epub 2022 Jul 8.

Abstract

Microbial communities with extracellular electron transfer (EET) activity are capable of driving geochemical changes and cycles, but a comprehensive understanding of the key microbiota responsible for EET in complex soil matrices is still lacking. Herein, the EET activities, in terms of maximum current density (jmax) and accumulated charge output (Cout), of 41 paddy soils across China were evaluated from the exoelectrogenic properties with a conventional bioelectrochemical system (BES). The jmax with a range of 8.85 × 10-4 to 0.41 A/m2 and Cout with a range of 0.27 to 172.21C were obtained from these soil-based BESs. The bacterial community analyses revealed that the most abundant phylum, order, and genus were Firmicutes, Clostridiales, and Clostridum-sensus-stricto 10, respectively. Bacterial network analysis displayed the positive correlations between the majority of electroactive bacteria-containing genera and multiple other genera, indicating their underlying cooperation for the EET. Partial least squares regression (PLSR) model showed remarkable performance in describing the EET activity with 75 most abundant genera as input variables, identified that 32 genera were very important for governing the EET activities. Multiple linear regression (MLR) analyses further prioritized that the genera norank-c-Berkelbacteria and Fonticella were the key contributors, while the genus Paenibacillus was the key competitor against bacterial exoelectrogenesis in paddy soils. Moreover, the spearman analysis showed that the abundance of these keystone taxa was mainly influenced by the carbon content and pH. This approach provides a promising avenue to monitor the microbial activities in paddy soils as well as the links between microbial community composition and ecological function.

Keywords: Bacterial network analysis; Extracellular electron transfer; Multiple linear regression; Partial least squares regression.

MeSH terms

  • Bacteria
  • China
  • Electrons
  • Microbiota*
  • Soil Microbiology
  • Soil* / chemistry

Substances

  • Soil