RT info:eu-repo/semantics/article
T1 Estimation of baseline levels of bacterial community tolerance to Cr, Ni, Pb, and Zn in unpolluted soils, a background for PICT (pollution-induced community tolerance) determination
A1 Campillo Cora, Claudia
A1 Soto Gómez, Diego
A1 Arias Estévez, Manuel
A1 Bååth, Erland
A1 Fernández Calviño, David
K1 Bacterial growth
K1 Leucine incorporation
K1 Heavy metals
K1 Geochemical baseline level
K1 Co-tolerance
K1 Edafología
K1 Soil science
K1 Química agrícola
K1 Agricultural chemistry
AB The PICT method (pollution-induced community tolerance) can be used to assess whether changes in soil microbial response are due to heavy metal toxicity or not. Microbial community tolerance baseline levels can, however, also change due to variations in soil physicochemical properties. Thirty soil samples (0–20 cm), with geochemical baseline concentrations (GBCs) of heavy metals and from five different parent materials (granite, limestone, schist, amphibolite, and serpentine), were used to estimate baseline levels of bacterial community tolerance to Cr, Ni, Pb, and Zn using the leucine incorporation method. General equations (n = 30) were determined by multiple linear regression using general soil properties and parent material as binary variables, explaining 38% of the variance in log IC50 (concentration that inhibits 50% of bacterial growth) values for Zn, with 36% for Pb, 44% for Cr, and 68% for Ni. The use of individual equations for each parent material increased the explained variance for all heavy metals, but the presence of a low number of samples (n = 6) lead to low robustness. Generally, clay content and dissolved organic C (DOC) were the main variables explaining bacterial community tolerance for the tested heavy metals. Our results suggest that these equations may permit applying the PICT method with Zn and Pb when there are no reference soils, while more data are needed before using this concept for Ni and Cr.
PB Springer
SN 0178-2762
YR 2021
FD 2021-11
LK https://hdl.handle.net/10259/11128
UL https://hdl.handle.net/10259/11128
LA eng
NO Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This study has been funded by the Spanish Ministry of Economy and Competitiveness through the project CTM2015-73422-JIN (FEDER Funds). David Fernández-Calviño holds a Ramón y Cajal contract (RYC-2016–20411) financed by the Spanish Ministry of Economy, Industry and Competitiveness. Claudia Campillo-Cora holds a predoctoral fellowship financed by Xunta de Galicia (ED481A-2020/084). Diego Soto-Gómez was supported by a postdoctoral fellowship from the Spanish Ministry of Education “Juan de la Cierva Formación (FJC2019-039176-I).”
DS Repositorio Institucional de la Universidad de Burgos
RD 17-abr-2026