PondAmino - A Shiny app for exploring proteinogenic amino acids in fish gill-filterable natural food webs for pond aquaculture (v1.0)
Authors/Creators
Contributors
Data curator (2):
Researcher (2):
Description
PondAmino - A Shiny app for exploring proteinogenic amino acids in fish gill-filterable natural food webs for pond aquaculture - is an interactive web-based analytical platform developed by Koushik Roy and Jan Mraz at the University of South Bohemia in České Budějovice. Version 1.0 was released on 27 July 2026. Development of the application was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the Johannes Amos Comenius Programme, project Aquaculture for future. The aim of the App is to explore and understand the “Amino acids in the natural food web of global fishponds: way forward for precision protein feeding in pond aquaculture.”.
The application supports structured exploration of protein and amino-acid evidence from natural freshwater algae, zooplankton, and zoobenthos and combines biological, temporal, geographic, waterbody, protein, and amino-acid information in one coordinated interface.
The evidence base originates from a PRISMA-guided systematic review covering literature from the 1950s through April 2026. The review focused primarily on lentic freshwater environments while retaining a limited number of ecologically relevant riverine studies. After screening and exclusions, data were extracted from 30 studies. The packaged v1.0 evidence base contains 308 source records, including 63 algae, 99 zooplankton, and 146 zoobenthos records. It includes 160 records with protein content, 82 with amino-acid composition in g/100 g DM, 195 with amino-acid quality in % protein, and 231 with usable coordinates. These record counts describe available source-aligned evidence and should not be assumed to represent independent biological replicates. PondAmino is an exploratory and descriptive platform. Its charts, maps, correlations, and summaries support evidence review and hypothesis generation; they do not by themselves establish causal ecological or nutritional relationships.
Files
PondAmino_QR_Code.png
Files
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Additional details
Identifiers
Related works
- Is derived from
- Journal article: 10.1111/raq.70195 (DOI)
Funding
Dates
- Available
-
2026-07-27https://zerofishcarpfeed.shinyapps.io/PondAmino/
Software
- Repository URL
- https://zerofishcarpfeed.shinyapps.io/PondAmino/
- Programming language
- R
- Development Status
- Active
References
- Hossain, M.F., Sezimova, K., Mraz, J., Gebauer, R., Zabransky, L., & Roy, K. (2026). Amino acids in the natural food web of global fishponds: way forward for precision protein feeding in pond cyprinid aquaculture. Reviews in Aquaculture, https://doi.org/10.1111/raq.70195