Sequencing dataset related to the influence of terrestrial plant litter input on microbial community composition and biomass in lake water


Rigaud, Cyril; Vesamäki, Jussi; Taipale, Sami; Litmanen, Jaakko; Nissinen, Riitta; Taube, Robert. (2023). Sequencing dataset related to the influence of terrestrial plant litter input on microbial community composition and biomass in lake water. University of Jyväskylä. https://doi.org/10.17011/jyx/dataset/86103.


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All authors: Rigaud, Cyril; Vesamäki, Jussi; Taipale, Sami; Litmanen, Jaakko; Nissinen, Riitta; Taube, Robert

Funders: Research Council of Finland

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Availability and identifiers

Availability: Direct download

Publication year: 2023

URN identifier in original repository: http://urn.fi/URN:NBN:fi:jyu-202303232252

DOI identifier in original repository: https://doi.org/10.17011/jyx/dataset/86103

URN identifier in JYX: http://urn.fi/URN:NBN:fi:jyu-202303232252

DOI identifier in JYX: https://doi.org/10.17011/jyx/dataset/86103


Description of the dataset

Description: We compared decomposition processes of three deciduous tree leaves (Alnus sp., Betula sp., and Populus tremula) in lake water together and without lake water microbiome, which was killed by autoclaving to separately examine the microbial community succession and decomposition process without the effect of lake water microbiome. We followed microbial activity and community succession during the first three weeks and quantified microbial biomass and the proportion of fungal versus bacterial decomposers by sterol and phospholipid fatty acid (PLFA) analyses.

The present dataset contains the raw sequencing files that were used to identify the microbial and fungal communities of the samples collected during the study.

Language: English

Free keywords: litter decomposition, microbial biomass, allochthonous, size exclusive chromatography, carbon cycling

Keywords (YSO): lakes; leaf; microbial ecology

Follow-up groups: Ecology and Evolutionary Biology (Department of Biological and Environmental Science BIOENV) EKO; Aquatic Sciences (Department of Biological and Environmental Science BIOENV) WET

Do you deal with data concerning special categories of personal data in your research?: No


Projects related to dataset


Last updated on 2024-10-04 at 10:07