Cargando…

Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia

Soil horizons below 30 cm depth contain about 60% of the organic carbon stored in soils. Although insight into the physical and chemical stabilization of soil organic matter (SOM) and into microbial community composition in these horizons is being gained, information on microbial functions of subsoi...

Descripción completa

Detalles Bibliográficos
Autores principales: Schnecker, Jörg, Wild, Birgit, Takriti, Mounir, Eloy Alves, Ricardo J., Gentsch, Norman, Gittel, Antje, Hofer, Angelika, Klaus, Karoline, Knoltsch, Anna, Lashchinskiy, Nikolay, Mikutta, Robert, Richter, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381299/
https://www.ncbi.nlm.nih.gov/pubmed/25859057
http://dx.doi.org/10.1016/j.soilbio.2015.01.016
_version_ 1782364427102715904
author Schnecker, Jörg
Wild, Birgit
Takriti, Mounir
Eloy Alves, Ricardo J.
Gentsch, Norman
Gittel, Antje
Hofer, Angelika
Klaus, Karoline
Knoltsch, Anna
Lashchinskiy, Nikolay
Mikutta, Robert
Richter, Andreas
author_facet Schnecker, Jörg
Wild, Birgit
Takriti, Mounir
Eloy Alves, Ricardo J.
Gentsch, Norman
Gittel, Antje
Hofer, Angelika
Klaus, Karoline
Knoltsch, Anna
Lashchinskiy, Nikolay
Mikutta, Robert
Richter, Andreas
author_sort Schnecker, Jörg
collection PubMed
description Soil horizons below 30 cm depth contain about 60% of the organic carbon stored in soils. Although insight into the physical and chemical stabilization of soil organic matter (SOM) and into microbial community composition in these horizons is being gained, information on microbial functions of subsoil microbial communities and on associated microbially-mediated processes remains sparse. To identify possible controls on enzyme patterns, we correlated enzyme patterns with biotic and abiotic soil parameters, as well as with microbial community composition, estimated using phospholipid fatty acid profiles. Enzyme patterns (i.e. distance-matrixes calculated from these enzyme activities) were calculated from the activities of six extracellular enzymes (cellobiohydrolase, leucine-amino-peptidase, N-acetylglucosaminidase, chitotriosidase, phosphatase and phenoloxidase), which had been measured in soil samples from organic topsoil horizons, mineral topsoil horizons, and mineral subsoil horizons from seven ecosystems along a 1500 km latitudinal transect in Western Siberia. We found that hydrolytic enzyme activities decreased rapidly with depth, whereas oxidative enzyme activities in mineral horizons were as high as, or higher than in organic topsoil horizons. Enzyme patterns varied more strongly between ecosystems in mineral subsoil horizons than in organic topsoils. The enzyme patterns in topsoil horizons were correlated with SOM content (i.e., C and N content) and microbial community composition. In contrast, the enzyme patterns in mineral subsoil horizons were related to water content, soil pH and microbial community composition. The lack of correlation between enzyme patterns and SOM quantity in the mineral subsoils suggests that SOM chemistry, spatial separation or physical stabilization of SOM rather than SOM content might determine substrate availability for enzymatic breakdown. The correlation of microbial community composition and enzyme patterns in all horizons, suggests that microbial community composition shapes enzyme patterns and might act as a modifier for the usual dependency of decomposition rates on SOM content or C/N ratios.
format Online
Article
Text
id pubmed-4381299
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Pergamon Press
record_format MEDLINE/PubMed
spelling pubmed-43812992015-04-07 Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia Schnecker, Jörg Wild, Birgit Takriti, Mounir Eloy Alves, Ricardo J. Gentsch, Norman Gittel, Antje Hofer, Angelika Klaus, Karoline Knoltsch, Anna Lashchinskiy, Nikolay Mikutta, Robert Richter, Andreas Soil Biol Biochem Article Soil horizons below 30 cm depth contain about 60% of the organic carbon stored in soils. Although insight into the physical and chemical stabilization of soil organic matter (SOM) and into microbial community composition in these horizons is being gained, information on microbial functions of subsoil microbial communities and on associated microbially-mediated processes remains sparse. To identify possible controls on enzyme patterns, we correlated enzyme patterns with biotic and abiotic soil parameters, as well as with microbial community composition, estimated using phospholipid fatty acid profiles. Enzyme patterns (i.e. distance-matrixes calculated from these enzyme activities) were calculated from the activities of six extracellular enzymes (cellobiohydrolase, leucine-amino-peptidase, N-acetylglucosaminidase, chitotriosidase, phosphatase and phenoloxidase), which had been measured in soil samples from organic topsoil horizons, mineral topsoil horizons, and mineral subsoil horizons from seven ecosystems along a 1500 km latitudinal transect in Western Siberia. We found that hydrolytic enzyme activities decreased rapidly with depth, whereas oxidative enzyme activities in mineral horizons were as high as, or higher than in organic topsoil horizons. Enzyme patterns varied more strongly between ecosystems in mineral subsoil horizons than in organic topsoils. The enzyme patterns in topsoil horizons were correlated with SOM content (i.e., C and N content) and microbial community composition. In contrast, the enzyme patterns in mineral subsoil horizons were related to water content, soil pH and microbial community composition. The lack of correlation between enzyme patterns and SOM quantity in the mineral subsoils suggests that SOM chemistry, spatial separation or physical stabilization of SOM rather than SOM content might determine substrate availability for enzymatic breakdown. The correlation of microbial community composition and enzyme patterns in all horizons, suggests that microbial community composition shapes enzyme patterns and might act as a modifier for the usual dependency of decomposition rates on SOM content or C/N ratios. Pergamon Press 2015-04 /pmc/articles/PMC4381299/ /pubmed/25859057 http://dx.doi.org/10.1016/j.soilbio.2015.01.016 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schnecker, Jörg
Wild, Birgit
Takriti, Mounir
Eloy Alves, Ricardo J.
Gentsch, Norman
Gittel, Antje
Hofer, Angelika
Klaus, Karoline
Knoltsch, Anna
Lashchinskiy, Nikolay
Mikutta, Robert
Richter, Andreas
Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title_full Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title_fullStr Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title_full_unstemmed Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title_short Microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in Western Siberia
title_sort microbial community composition shapes enzyme patterns in topsoil and subsoil horizons along a latitudinal transect in western siberia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381299/
https://www.ncbi.nlm.nih.gov/pubmed/25859057
http://dx.doi.org/10.1016/j.soilbio.2015.01.016
work_keys_str_mv AT schneckerjorg microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT wildbirgit microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT takritimounir microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT eloyalvesricardoj microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT gentschnorman microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT gittelantje microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT hoferangelika microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT klauskaroline microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT knoltschanna microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT lashchinskiynikolay microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT mikuttarobert microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia
AT richterandreas microbialcommunitycompositionshapesenzymepatternsintopsoilandsubsoilhorizonsalongalatitudinaltransectinwesternsiberia