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Background <p>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.</p> Methods <p>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.</p> Results <p>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: <i>Penaeus vannamei</i>, <i>Penaeus monodon</i>, <i>Penaeus indicus</i>, <i>Penaeus chinensis</i>, and <i>Penaeus japonicus</i>. 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 <a href="https://bioinfo.ciba.res.in/shenrich/">https://bioinfo.ciba.res.in/shenrich/</a>.</p> Conclusions <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月3日

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  • Harikrishnan Udayakumar Geetha,
  • Ashok Kumar Jangam,
  • Vinaya Kumar Katneni,
  • Syama Dayal Jagabattula,
  • Panjan Nathamuni Suganya,
  • Mudagandur Shashi Shekhar,
  • Ritwika Das,
  • Monendra Grover,
  • Girish Kumar Jha

摘要

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.