ShEnrich: a functional annotation database and enrichment platform for penaeid shrimp

Abstract Background Penaeid shrimp are among the most commercially important aquaculture species globally, yet no dedicated integrated functional annotation and enrichment analysis platform currently for penaeid shrimp. Researchers working with shrimp transcriptomic data currently rely on generic enrichment tools built around model organisms that provide limited or no coverage for most penaeid species. In this context, current study aims to develop annotation and enrichment analysis platform for commercially important shrimp species. Methods ShEnrich was developed using a multi-tiered annotation pipeline combining BLASTP searches against the NCBI non-redundant database, InterProScan domain prediction, and eggNOG-mapper orthology assignments. Cross-species ortholog clustering was performed using OrthoMCL across five commercially farmed penaeid species. GMT libraries for each species were constructed for KEGG and GO enrichment analysis, implemented using the clusterProfiler R package. The platform was built on a MySQL 8.0 relational database with a PHP 8.1 backend and an integrated JBrowse2 genome browser. Results The database integrates 61,287 annotated proteins representing 34,169 genes, with 178,595 gene-pathway associations across 442 KEGG pathways and 138,077 proteins mapped to 12,897 GO terms across five species: Penaeus vannamei , Penaeus monodon , Penaeus indicus , Penaeus chinensis , and Penaeus japonicus . Cross-species comparative genomics is supported through 18,031 ortholog groups identified using OrthoMCL. The web platform provides KEGG and GO enrichment analysis, protein annotation search, ortholog browsing, and genome visualization. ShEnrich is freely available at https://bioinfo.ciba.res.in/shenrich/ . Conclusions ShEnrich provides the first dedicated functional annotation and enrichment analysis resource for penaeid shrimp, filling a gap that has limited biological interpretation of transcriptomic data in this economically important group. The platform supports functional analysis of gene expression studies across disease, stress, and environmental conditions in commercially farmed shrimp species.

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Publication Details

Journal
BMC Bioinformatics
Published
2026-08-03
DOI
https://doi.org/10.1186/s12859-026-06567-0
Primary Topic
Invertebrate Immune Response Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

ShEnrich: a functional annotation database and enrichment platform for penaeid shrimp

Panjan Nathamuni Suganya, Ashok Kumar Jangam, Syama Dayal Jagabattula, Vinaya Kumar Katneni et al.
BMC Bioinformatics
Invertebrate Immune Response Mechanisms
article

ShEnrich: a functional annotation database and enrichment platform for penaeid shrimp

Panjan Nathamuni Suganya, Ashok Kumar Jangam, Syama Dayal Jagabattula, Vinaya Kumar Katneni, Girish Kumar Jha, M. S. Shekhar, Monendra Grover, Harikrishnan Udayakumar Geetha, Ritwika Das
article en

Abstract

Abstract Background Penaeid shrimp are among the most commercially important aquaculture species globally, yet no dedicated integrated functional annotation and enrichment analysis platform currently for penaeid shrimp. Researchers working with shrimp transcriptomic data currently rely on generic enrichment tools built around model organisms that provide limited or no coverage for most penaeid species. In this context, current study aims to develop annotation and enrichment analysis platform for commercially important shrimp species. Methods ShEnrich was developed using a multi-tiered annotation pipeline combining BLASTP searches against the NCBI non-redundant database, InterProScan domain prediction, and eggNOG-mapper orthology assignments. Cross-species ortholog clustering was performed using OrthoMCL across five commercially farmed penaeid species. GMT libraries for each species were constructed for KEGG and GO enrichment analysis, implemented using the clusterProfiler R package. The platform was built on a MySQL 8.0 relational database with a PHP 8.1 backend and an integrated JBrowse2 genome browser. Results The database integrates 61,287 annotated proteins representing 34,169 genes, with 178,595 gene-pathway associations across 442 KEGG pathways and 138,077 proteins mapped to 12,897 GO terms across five species: Penaeus vannamei , Penaeus monodon , Penaeus indicus , Penaeus chinensis , and Penaeus japonicus . Cross-species comparative genomics is supported through 18,031 ortholog groups identified using OrthoMCL. The web platform provides KEGG and GO enrichment analysis, protein annotation search, ortholog browsing, and genome visualization. ShEnrich is freely available at https://bioinfo.ciba.res.in/shenrich/ . Conclusions ShEnrich provides the first dedicated functional annotation and enrichment analysis resource for penaeid shrimp, filling a gap that has limited biological interpretation of transcriptomic data in this economically important group. The platform supports functional analysis of gene expression studies across disease, stress, and environmental conditions in commercially farmed shrimp species.

BMC Bioinformatics
Indian Agricultural Statistics Research Institute (IN), Central Institute of Brackishwater Aquaculture (IN)
Indian Council of Agricultural Research
Life in Land
Openalex Percentile: Top 15%
Invertebrate Immune Response Mechanisms
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