Volume 13 Issue 9
Sep.  2023
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Article Contents
Xiaoxiao Luo, Qirui Bi, Dongdong Huang, Yun Li, Changliang Yao, Jianqing Zhang, Wenlong Wei, Jiayuan Li, Zhenwei Li, Jingxian Zhang, Shen Ji, Yurong Wang, De-an Guo. Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics[J]. Journal of Pharmaceutical Analysis, 2023, 13(9): 1070-1079. doi: 10.1016/j.jpha.2023.06.006
Citation: Xiaoxiao Luo, Qirui Bi, Dongdong Huang, Yun Li, Changliang Yao, Jianqing Zhang, Wenlong Wei, Jiayuan Li, Zhenwei Li, Jingxian Zhang, Shen Ji, Yurong Wang, De-an Guo. Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics[J]. Journal of Pharmaceutical Analysis, 2023, 13(9): 1070-1079. doi: 10.1016/j.jpha.2023.06.006

Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics

doi: 10.1016/j.jpha.2023.06.006
Funds:

This work was financially supported by the Key Program of the National Natural Science Foundation of China (Grant No.: 82130111)

and the SIMM-SHUTCM Traditional Chinese Medicine Innovation Joint Research Program, China (Grant No.: E2G809H).

the Qi-Huang Chief Scientist Project of the National Administration of Traditional Chinese Medicine, China (2020)

the National Natural Science Foundation of China (Grant No.: 81803716)

  • Received Date: Mar. 16, 2023
  • Accepted Date: Jun. 13, 2023
  • Rev Recd Date: Jun. 10, 2023
  • Publish Date: Jun. 15, 2023
  • Pheretima, also called “earthworms”, is a well-known animal-derived traditional Chinese medicine that is extensively used in over 50 Chinese patent medicines (CPMs) in Chinese Pharmacopoeia (2020 edition). However, its zoological origin is unclear, both in the herbal market and CPMs. In this study, a strategy for integrating in-house annotated protein databases constructed from close evolutionary relationship-sourced RNA sequencing data from public archival resources and various sequencing algorithms (restricted search, open search, and de novo) was developed to characterize the phenotype of natural peptides of three major commercial species of Pheretima, including Pheretima aspergillum (PA), Pheretima vulgaris (PV), and Metaphire magna (MM). We identified 10,477 natural peptides in the PA, 7,451 in PV, and 5,896 in MM samples. Five specific signature peptides were screened and then validated using synthetic peptides; these demonstrated robust specificity for the authentication of PA, PV, and MM. Finally, all marker peptides were successfully applied to identify the zoological origins of Brain Heart capsules and Xiaohuoluo pills, revealing the inconsistent Pheretima species used in these CPMs. In conclusion, our integrated strategy could be used for the in-depth characterization of natural peptides of other animal-derived traditional Chinese medicines, especially non-model species with poorly annotated protein databases.
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  • J. Zhang, W. Yang, S. Li, et al., An intelligentized strategy for endogenous small molecules characterization and quality evaluation of earthworm from two geographic origins by ultra-high performance HILIC/QTOF MSE and Progenesis QI, Anal. Bioanal. Chem. 408 (2016) 3881-3890.
    Q. Liu, Q. Bi, N. Tan, Research progress on proteins and peptides from earthworm, Chin. Tradit. Herb. Drugs 50 (2019) 252-261.
    Chinese Pharmacopoeia Commission, Chinese Pharmacopoeia, China Medical Science Press, Beijing, 2020, pp.127.
    X. Bian, J. Li, L. Jin, et al., Discussion on the quality standards of animal medicines in Chinese Pharmacopoeia (2020 Edition), Jilin J. Chin. Med. 41 (2021) 809-816.
    Q. Liu, Q. Bi, J. Zhang, et al., A rapid and simple signature peptides-based method for species authentication of three main commercial Pheretima, J. Proteomics 255 (2022), 104456.
    Z. Xing, H. Gao, D. Wang, et al., A novel biological sources consistency evaluation method reveals high level of biodiversity within wild natural medicine: A case study of Amynthas earthworms as “Guang Dilong”, Acta Pharm. Sin. B 13 (2023) 1755-1770.
    Q. Liu, Q. Bi, N. Tan, Authentication of three main commercial Pheretima based on amino acids analysis, Amino Acids 53 (2021) 1729-1738.
    Y. Gu, J. Zhang, J. Sun, et al., Marker peptide screening and species-specific authentication of Pheretima using proteomics, Anal. Bioanal. Chem. 413 (2021) 3167-3176.
    X. Ge, C. Jiang, N. Tian, et al., DNA sequencing to identify zoological origin of commercial Pheretima from Chinese herbal markets and discussion on its herbal textual research, Mod. Chin. Med. 21 (2019) 1206-1214.
    W. Lee, J.-S. Hwang, D.G. Lee, A novel antimicrobial peptide, scolopendin, from Scolopendra subspinipes mutilans and its microbicidal mechanism, Biochimie 118 (2015) 176-184.
    A.T. Dossey, Insects and their chemical weaponry: New potential for drug discovery, Nat. Prod. Rep. 27 (2010) 1737-1757.
    P. Meng, H. Huang, G. Wang, et al., A novel toxin from Haplopelma lividum selectively inhibits the NaV1.8 channel and possesses potent analgesic efficacy, Toxins (Basel) 9 (2016), 7.
    T.D. Madsen, L.H. Hansen, J. Hintze, et al., An atlas of O-linked glycosylation on peptide hormones reveals diverse biological roles, Nat. Commun. 11 (2020), 4033.
    L. Lin, Y. Zhang, Y. Li, et al., Identification of signature proteins of processed Bombyx batryticatus by comparative proteomic analysis, Int. J. Biol. Macromol. 153 (2020) 289-296.
    R. Liu, Y. Huang, H. Xu, et al., A strategy for identifying species-specific peptide biomarkers in deer-hide gelatin using untargeted and targeted mass spectrometry approaches, Anal. Chim. Acta 1092 (2019) 32-41.
    Y. Kumazawa, S. Hattori, Y. Taga, Semi-nondestructive certification of crocodilian leather by LC-MS detection of collagen marker peptides, Anal. Chem. 91 (2019) 1796-1800.
    R. Karlsson, A. Thorsell, M. Gomila, et al., Discovery of species-unique peptide biomarkers of bacterial pathogens by tandem mass spectrometry-based proteotyping, Mol. Cell Proteomics 19 (2020) 518-528.
    Y. Fu, Data analysis strategies for protein modification identification, Methods Mol. Biol. 1362 (2016) 265-275.
    A. Cerrato, S.E. Aita, A.L. Capriotti, et al., A new opening for the tricky untargeted investigation of natural and modified short peptides, Talanta 219 (2020), 121262.
    J.P. Murphy, P. Konda, D.J. Kowalewski, et al., MHC-I ligand discovery using targeted database searches of mass spectrometry data: Implications for T-cell immunotherapies, J. Proteome Res. 16 (2017) 1806-1816.
    L. Zhang, G. Liu, G. Hou, et al., IntroSpect: Motif-guided immunopeptidome database building tool to improve the sensitivity of HLA I binding peptide identification by mass spectrometry, Biomolecules 12 (2022), 579.
    Y. Cogne, D. Gouveia, A. Chaumot, et al., Proteogenomics-guided evaluation of RNA-seq assembly and protein database construction for emergent model organisms, Proteomics 20 (2020), e1900261.
    National Libray of Medicine, U.S. Sequence Read Archive Growth. https://www.ncbi.nlm.nih.gov/sra/docs/sragrowth/. (Accessed 8 June 2022).
    N. Zhao, M. Cheng, W. Lv, et al., Peptides as potential biomarkers for authentication of mountain-cultivated ginseng and cultivated ginseng of different ages using UPLC-HRMS, J. Agric. Food Chem. 68 (2020) 2263-2275.
    B. Ma, K. Zhang, C. Hendrie, et al., PEAKS: Powerful software for peptide de novo sequencing by tandem mass spectrometry, Rapid Commun. Mass Spectrom. 17 (2003) 2337-2342.
    V. Baghalabadi, A.A. Doucette, Mass spectrometry profiling of low molecular weight proteins and peptides isolated by acetone precipitation, Anal. Chim. Acta 1138 (2020) 38-48.
    C. Wang, Q. Bi, D.Huang, et al., Identification of Pinelliae Rhizoma and its counterfeit species based on enzymatic signature peptides from toxic proteins, Phytomedicine 107 (2022), 154451.
    M.G. Grabherr, B.J. Haas, M. Yassour, et al., Full-length transcriptome assembly from RNA-Seq data without a reference genome, Nat. Biotechnol. 29 (2011) 644-652.
    B.J. Haas, A. Papanicolaou, M. Yassour, et al., De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis, Nat. Protoc. 8 (2013) 1494-1512.
    L. Fu, B. Niu, Z. Zhu, et al., CD-HIT: Accelerated for clustering the next-generation sequencing data, Bioinformatics 28 (2012) 3150-3152.
    H. Chi, C. Liu, H. Yang, et al., Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine, Nat. Biotechnol. 36 (2018) 1059-1065.
    E.J. Dupree, B.S. Crimmins, T.M. Holsen, et al., Developing well-annotated species-specific protein databases using comparative proteogenomics, Adv. Exp. Med. Biol. 1140 (2019) 389-400.
    F.A. Simao, R.M. Waterhouse, P. Ioannidis, et al., BUSCO: Assessing genome assembly and annotation completeness with single-copy orthologs, Bioinformatics 31 (2015) 3210-3212.
    J. Cox, M. Mann, MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification, Nat. Biotechnol. 26 (2008) 1367-1372.
    J.K. Eng, T.A. Jahan, M.R. Hoopmann, Comet: An open-source MS/MS sequence database search tool, Proteomics 13 (2013) 22-24.
    A.G. Ngounou Wetie, D.A. Shipp, C.C. Darie, Bottlenecks in proteomics, Adv. Exp. Med. Biol. 806 (2014) 581-593.
    F. Zheng, X. Zhao, Z. Zeng, et al., Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry, Nat. Protoc. 15 (2020) 2519-2537.
    V. Dorfer, S. Maltsev, S. Winkler, et al., CharmeRT: Boosting peptide identifications by chimeric spectra identification and retention time prediction, J. Proteome Res. 17 (2018) 2581-2589.
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