0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe applicability of DNA-based analysis of soil microbial biomass was proven under conditions when the common approaches – chloroform fumigation-extraction (CFE) and substrate-induced respiration (SIR) – are restricted. These restrictions include certain soil properties typical for arid areas (alkaline or carbonaceous soils) or limitation by sample preparation (frozen samples). To prove the suitability and correspondence of the methods, microbial biomass was determined by CFE, SIR and by DNA quantification in slightly alkaline Chernozem and strongly alkaline Calcisol of semi-arid climate under contrasting land use. Quantification of double-stranded DNA (dsDNA) revealed an excellent agreement (R2 = 0.96) with SIR-based microbial biomass (SIR-Cmic) for soils with pH lower than 8. DNA- and CFE-based microbial biomass (CFE-Cmic) correlated well (R2 = 0.97) for all studied soils. The conversion factors from dsDNA to SIR-Cmic of 5.1 and to CFE-Cmic of 4.4 were obtained. In alkaline soils (pH > 8), microbial biomass measured by SIR was strongly underestimated because of CO2 retention in soil solution due to high pH and CO3 2− exchange with carbonates. Thus, the dsDNA quantification provides a simple and durable approach for microbial biomass analysis as alternative for SIR and CFE and can be successfully used in alkaline or calcareous semi-arid soils.
M. V. Semenov, Еvgenia Blagodatskaya, А. Л. Степанов, Yakov Kuzyakov (2017). DNA-based determination of soil microbial biomass in alkaline and carbonaceous soils of semi-arid climate. Journal of Arid Environments, 150, pp. 54-61, DOI: 10.1016/j.jaridenv.2017.11.013.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2017
Authors
4
Datasets
0
Total Files
0
Language
English
Journal
Journal of Arid Environments
DOI
10.1016/j.jaridenv.2017.11.013
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access