Genome-scale metabolic network model of Eriocheir sinensis icrab4665 and nutritional requirement analysis.

ABSTRACT:

Background

Genome-scale metabolic network models (GEMs) provide an efficient platform for the comprehensive analysis the physical and biochemical functions of organisms due to their systematic perspective on the study of metabolic processes. Eriocheir sinensis is an important economic species cultivated on a large scale because it is delicious and nutritious and has a high economic value. Feed improvement is one of the important methods to improve the yield of E. sinensis and control water pollution caused by the inadequate absorption of feed.

Results

In this study, a GEM of E. sinensis, icrab4665, was reconstructed based on the transcriptome sequencing, combined with KEGG database, literature and experimental data. The icrab4665 comprised 4665 unigenes, 2060 reactions and 1

SUBMITTER: Li J 

PROVIDER: S-EPMC9238104 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature