Data underlying the publication: Divergence of microbial community composition and functionality upon serial transfers in novel substrates over 200 generations
DOI:10.4121/ac110cab-112b-4f38-ac94-252f8838a9d0.v1
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DOI: 10.4121/ac110cab-112b-4f38-ac94-252f8838a9d0
DOI: 10.4121/ac110cab-112b-4f38-ac94-252f8838a9d0
Datacite citation style
Nehanda, Shepherd; Alekseeva, Anna; van Mastrigt, Oscar; Chileshe, Justin; Zwaan, Bas J. et. al. (2025): Data underlying the publication: Divergence of microbial community composition and functionality upon serial transfers in novel substrates over 200 generations. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ac110cab-112b-4f38-ac94-252f8838a9d0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The dataset was generated from an exploratory laboratory based study aimed to understand how microbial community diversity and its functionality respond following exposure to novel environments over time. For this, we propagating a shared ancestral mabisi microbial community in different substrates over 30 cycles, generating approximately 200 generations. By sampling at intervals and analyzing samples using 16S rDNA amplicon sequencing as well as GCMS for volatile organic compounds and pH meter for pH changes, we were able to determine how both the community diversity and and its functioning shifts with different substrate treatment over time.
History
- 2025-07-23 first online, published, posted
Publisher
4TU.ResearchDataFormat
PDF, Excel, fasta, qmd, and nwkFunding
- Wageningen Global Sustainability Programme (formerly INREF) (grant code not applicable) Sijmen Schoustra
Organizations
Laboratory of Genetics,Plant Sciences Group, Wageningen University & Research;National Health Research and Training Institute (Formerly Tropical Diseases Research
Centre), Department of Biomedical Sciences, Zambia;
Department of Food Science and Nutrition, The University of Zambia, Zambia
DATA
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- 103,883 bytesMD5:
f45091405c43d3d33bd8a45c20413683Readme_file.pdf - 1,180,916 bytesMD5:
92d9d9f22cfdd6382267c1a45b4c7f3aASV-dna-sequences.fasta - 13,963 bytesMD5:
4e83aef67881b91a47b03d7ad3d24ddfShepherd_community_level_functionality_analysis_VOC&pH.qmd - 1,148,071 bytesMD5:
7a810de4e5209c7e87ec0bfbafbbb800Shepherd_Microbiome_data_ALEexperiment.xlsx - 16,813 bytesMD5:
24edfd2bc53704c7f03d54b09b66fff7Shepherd_Microbiome_data_analysis_Laboratory_evolution_experiment.qmd - 59,481 bytesMD5:
6d381d381fa476aa42389733a8a75cd7Shepherd_pH_data_ALEexperiment.xlsx - 110,864 bytesMD5:
15ef87f6e82652cda11068f24b616f42Shepherd_VOC_data_ALEexperiment.xlsx - 95,004 bytesMD5:
9e7f5b1d6543fa4caa70ceea3f3c9b75tree.nwk -
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