Metal(loid)s are toxic to animal life, human health, and plants, therefore, their removal from polluted areas is imperative in order to minimize their impact on the ecosystems. The use of plant-amendment-microorganism synergy is a promising option, but not yet fully explored, to manage lands contaminated with metal(loid)s. However, molecular factors and mechanisms underlying this interaction are also almost unknown. The aim of the present study was to characterize Arabidopsis thaliana growth and response on arsenic and lead polluted soil. To accomplish this aim, a pot experiment was performed testing the effect of biochar and/or autochthonous metal(loid) resistant Bacillus isolate on physico-chemical soil properties and on plant growth and metal(loid) uptake/intake. Furthermore, bioinformatics-assisted proteomics approach was used to understand common and specific mechanisms regulating plant growth and metal(loid) tolerance in tested conditions. Results showed that biochar and/or Bacillus induced significant and positive effects on soil properties, increasing pH, Ctot, Ntot and Ptot concentrations and decreasing nutrients (Nav and Pav), As and Pb availability. Plant growth was also enhanced by addition of biochar and/or inoculum, reaching the maximum when biochar and bacteria were combined. The deciphering of molecular mechanisms revealed that combination of biochar and bacterial inoculation mitigate Arabidopsis growth and defense tradeoff and underline the great potential of plant-biochar-inoculum synergic application in more effective and large scale-up phytostabilizing systems.
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Bioinformatics-assisted proteomics to decipher molecular mechanisms underlying Arabidopsis thaliana tolerance to metal(loid) soil contamination in association with biochar and/or bacteria
Published:
07 December 2021
by MDPI
in The 2nd International Electronic Conference on Plant Sciences—10th Anniversary of Journal Plants
session Plant Response to Stresses and Changing Environment
Abstract:
Keywords: Arabidopsis thaliana; Arsenic; Bacillus sp; Bioinformatics; Lead; Metal(loid) stress responses; Proteomics analysis