Fell, S. et al

Global river cellulose decomposition assay data 2016-17

This dataset contains information regarding mountain river sites sampled in 2016-17. It includes:
1) physicochemical parameters of the river sites sampled,
2) tensile-strength loss data of a standardised cotton strip assay as a proxy for the decomposition of cellulose in mountain rivers,
3) molecular next generation sequencing data of the fungal Internal Transcribed Spacer region (ITS) and Cellobiohydrolase I gene (cbhI) sampled from the cotton strip decomposition assay.

Field observations were made in Alaska, Austria, Ecuador, France, New Zealand and Norway to investigate how decreasing catchment glacier cover influences the fungal decomposition of organic matter in mountain rivers.

Publication date: 2021-01-27

Get the data

This dataset is available under the terms of the Open Government Licence

Format of the data: Comma-separated values (CSV)

You must cite: Fell, S. ; Carrivick, J. L.; Cauvy-Fraunié, S.; Crespo-Pérez, V.; Hood, E.; Randall, K. C.; Matthews Nicholass, K. J.; Tiegs, S. D.; Dumbrell, A. J.; Brown, L. E. (2021). Global river cellulose decomposition assay data 2016-17. NERC Environmental Information Data Centre. https://doi.org/10.5285/fec704d2-ee6a-427b-9345-850dd96ff1b4

 

Where/When

Study area
Temporal extent
2016-01-01    to    2017-12-31

Provenance & quality

In the field, physicochemical parameters were obtained using a combination of in-situ probe measurements and geomorphological assessment, alongside collection of river water for ex-situ determination of some variables. A standardised cellulose (cotton strip) decomposition assay was deployed at each river site. In the laboratory, a tensiometer (University of Leeds) was used to determine the tensile-strength loss for incubated and control cotton strips, as a proxy for the decomposition of cellulose. Tensile-strength loss values were standardised by days of incubation and water temperature. DNA was extracted from subsamples of the cotton strips and next generation sequencing (qPCR, PCR) (University of Essex) performed to estimate the abundance of fungi (ITS), subgroups of fungi (saprotrophs, Ascomycota, Tetracladium) and a fungal gene (cbhI). Molecular data was subjected to quality control prior to taxonomic classification and assignment of trophic mode.

Correspondence/contact details

Brown, L. E.
University of Leeds
 l.brown@leeds.ac.uk

Authors

Fell, S.
University of Leeds
Carrivick, J. L.
University of Leeds
Crespo-Pérez, V.
Pontifical Catholic University of Ecuador
Hood, E.
University of Alaska Southeast
Randall, K. C.
University of Essex
Matthews Nicholass, K. J.
University of Essex
Tiegs, S. D.
Oakland University
Dumbrell, A. J.
University of Essex
Brown, L. E.
University of Leeds

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
Biota , Inland Waters
Keywords
Cellobiohydrolase I (cbhI),  Cotton-strip assay,  Decomposition assay,  Mountain rivers,  Next generation sequencing,  NGS data,  Physicochemical data,  qPCR,  Tensile-strength data
INSPIRE Theme
Environmental Monitoring Facilities
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / Pseudo-Mercator
Last updated
25 June 2021 18:32