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Research Article | Open Access

Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

Changge Guana,1( )Zhenglin Tanb,c,1Shucheng Lia,b,1Yi Wanga,Naoyuki YamamotobChong Zhanga,dSongjun WangeJunjie ChenfXinhui Xinga,d,g,h( )
Key Laboratory for Industrial Biocatalysis, Ministry of Education of China, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
School of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-0026, Japan
Sensing System Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8565, Japan
Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
Henan Giant Salamander Protection and Development Association, Luoyang 471000, China
Intelligent Computing Research Center, Harbin Institute of Technology, Shenzhen 518071, China
Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen 518067, China

1 These authors contributed equally to this work.

Peer review under responsibility of Tsinghua University Press.

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Abstract

Andrias davidianus (Chinese giant salamander, CGS) is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in China. However, the progress of functional peptides mining was slow due to lack of reference genome and protein sequence data. In this study, we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10703 coding DNA sequences. By functional annotation and amino acid composition analysis, we have discovered various genes related to signal transduction, and 16 genes related to longevity. We have also found vast variety of functional peptides through protein coding sequence (CDS) analysis by comparing the data obtained with the functional peptide database. Val-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis, suggesting that our approach is reliable. This study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat, thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

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Food Science and Human Wellness
Pages 166-172
Cite this article:
Guan C, Tan Z, Li S, et al. Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods. Food Science and Human Wellness, 2024, 13(1): 166-172. https://doi.org/10.26599/FSHW.2022.9250014

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Received: 29 July 2022
Revised: 30 August 2022
Accepted: 04 September 2022
Published: 01 June 2023
© 2024 Beijing Academy of Food Sciences. Publishing services by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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