journal article·2025-05Open access

ProteoSeeker : A Feature‐Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration

Georgios Filis, Dimitra Bezantakou, Konstantinos Rigkos, Despina Noti, Pavlos Saridis, Dimitra Zarafeta, Georgios Skretas

Advanced Science· Volume 12· Issue 19

Abstract

Abstract The vast majority of microbial diversity remains unculturable, limiting access to novel biotechnological resources. Advances in metagenomics have expanded the understanding of microbial communities, yet targeted protein discovery remains challenging. This study introduces ProteoSeeker , a command‐line tool for streamlined metagenomic protein identification and annotation. ProteoSeeker operates in two primary modes: i) Seek mode, which screens the proteins according to user‐defined protein families, and ii) Taxonomy mode, which uncovers the taxonomy of the host organisms. By automating key steps, ProteoSeeker reduces computational complexity, enabling time‐efficient and comprehensive metagenomic analysis for both specialized and nonspecialized users. The efficiency of ProteoSeeker to achieve targeted enzyme discovery is demonstrated by identifying extremophilic enzymes with desired biochemical features, such as amylases for starch hydrolysis and carbonic anhydrases for CO₂ capture applications. By democratizing functional metagenomics, ProteoSeeker is anticipated to accelerate biotechnology, synthetic biology, and biomedical research and innovation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Genomics and Phylogenetic Studies · Advanced Proteomics Techniques and Applications · Microbial Metabolic Engineering and Bioproduction

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute for Bioinnovation Biomedical Sciences Research Center “Alexander Fleming” Vari 16672 Greece

Institute of Chemical Biology National Hellenic Research Foundation Athens 11635 Greece

Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens 16122 Greece

Department of Biological Applications and Technologies University of Ioannina Ioannina 45500 Greece

Faculty of Biology National and Kapodistrian University of Athens Athens 15772 Greece

Funding

HORIZON EUROPE Widening participation and spreading excellence

References (74)

Show source-provided references
1. 10.1128/spectrum.03495-2210.1128/spectrum.03495-22 ↗
2. 10.1016/j.csbj.2021.12.03010.1016/j.csbj.2021.12.030 ↗
3. 10.1007/978-1-0716-2795-2_310.1007/978-1-0716-2795-2_3 ↗
4. 10.1007/s00284-023-03451-510.1007/s00284-023-03451-5 ↗
5. 10.1016/j.biotechadv.2018.09.00410.1016/j.biotechadv.2018.09.004 ↗
6. Pérez‐Cobas A. E. · Microb. Genom. · 2020 · 6 · 503
7. 10.1038/nmeth.445810.1038/nmeth.4458 ↗
8. 10.1016/j.cell.2019.07.01010.1016/j.cell.2019.07.010 ↗
9. Zhang Z. · Brief Bioinform · 2023 · 24
10. 10.1186/1471-2105-9-38610.1186/1471-2105-9-386 ↗
11. Chen I.‐M. A. · Nucleic Acids Res. · 2023 · 723
12. 10.1093/nar/gkac108010.1093/nar/gkac1080 ↗
13. 10.3390/v1502058710.3390/v15020587 ↗
14. 10.1093/nar/gkq101910.1093/nar/gkq1019 ↗
15. 10.1093/nar/gkab111210.1093/nar/gkab1112 ↗
16. 10.1038/s41592-021-01101-x10.1038/s41592-021-01101-x ↗
17. 10.1186/gb-2014-15-3-r4610.1186/gb-2014-15-3-r46 ↗
18. 10.1186/s13059-019-1891-010.1186/s13059-019-1891-0 ↗
19. 10.1038/s41596-022-00738-y10.1038/s41596-022-00738-y ↗
20. 10.7717/peerj-cs.10410.7717/peerj-cs.104 ↗
21. 10.1038/s41467-023-44290-z10.1038/s41467-023-44290-z ↗
22. 10.1186/s13059-022-02832-610.1186/s13059-022-02832-6 ↗
23. 10.1093/nar/gkl84210.1093/nar/gkl842 ↗
24. 10.1093/nar/gkh13110.1093/nar/gkh131 ↗
25. 10.1093/bioinformatics/btu73910.1093/bioinformatics/btu739 ↗
26. 10.1093/bioinformatics/btm09810.1093/bioinformatics/btm098 ↗
27. 10.1093/nar/gkac105210.1093/nar/gkac1052 ↗
28. G.Filis D.Bezantakou D.Zarafeta G.Skretas https://github.com/SkretasLab/ProteoSeeker(accessed: October2024).
29. G.Filis G.Skretas https://hub.docker.com/repository/docker/skretaslab/proteoseeker/general(accessed: October2024).
30. G.Filis D.Bezantakou D.Zarafeta G.Skretas https://skretaslab.gr/proteoseeker/: (accessed: October 2024).
31. 10.1007/978-1-4939-3167-5_210.1007/978-1-4939-3167-5_2 ↗
32. 10.1093/bioinformatics/bth19110.1093/bioinformatics/bth191 ↗
33. 10.1093/bioinformatics/btx43910.1093/bioinformatics/btx439 ↗
34. 10.1093/nar/gkac99310.1093/nar/gkac993 ↗
35. 10.1093/nar/gkaa91310.1093/nar/gkaa913 ↗
36. 10.1038/srep3888610.1038/srep38886 ↗
37. Zarafeta D. · Front. Microbiol. · 2020 · 11
38. 10.1371/journal.pone.014645410.1371/journal.pone.0146454 ↗
39. S.Birte S.Janecek https://www.cazypedia.org/index.php/Glycoside_Hydrolase_Family_13(accessed: February2025).
40. 10.1093/nar/gks119510.1093/nar/gks1195 ↗
41. 10.1093/nar/gkv127610.1093/nar/gkv1276 ↗
42. 10.1093/nar/gkz89910.1093/nar/gkz899 ↗
43. Rigkos K. · Environ. Sci. Technol. · 2024 · 58
44. 10.1186/s12864-022-08803-210.1186/s12864-022-08803-2 ↗
45. B.Langmead https://benlangmead.github.io/aws‐indexes/k2(accessed: June2024).
46. 10.1002/j.1538-7305.1948.tb01338.x10.1002/j.1538-7305.1948.tb01338.x ↗
47. 10.1016/0022-5193(66)90013-010.1016/0022-5193(66)90013-0 ↗
48. 10.1186/s12859-019-3118-510.1186/s12859-019-3118-5 ↗
49. 10.1007/978-3-319-99713-1_810.1007/978-3-319-99713-1_8 ↗
50. 10.3390/medicina5705050310.3390/medicina57050503 ↗
51. 10.1186/1471-2105-10-42110.1186/1471-2105-10-421 ↗
52. Protein BLAST: search protein databases using a protein query https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins(accessed: October2024).
53. Biomedical Sciences Research Center Alexander Fleming New super‐enzyme could revolutionize CO₂ capt | EurekAlert!https://www.eurekalert.org/news‐releases/1067861(accessed: February2025).
54. L.Stewart New super‐enzyme could revolutionize CO₂ capture | News | The Microbiologist https://www.the‐microbiologist.com/news/new‐super‐enzyme‐could‐revolutionize‐co‐capture/4759.article(accessed: February2025).
55. M.Cox Super‐enzymes boost industrial carbon capture – Springwise https://springwise.com/sustainable-infrastructure/super-enzymes-boost-industrial-carbon-capture/(accessed: February2025).
56. T.Bush Super‐Enzyme Enhances Carbon Capture by 90% https://decarbonfuse.com/posts/super‐enzyme‐enhances‐carbon‐capture‐by‐90 (accessed: February2025).
57. B. S. R. C. A.Fleming Super‐Enzyme Enhances Carbon Capture by 90% https://scitechdaily.com/super-enzyme-enhances-carbon-capture-by-90/ (accessed: February2025).
58. 10.1371/journal.pcbi.100219510.1371/journal.pcbi.1002195 ↗
59. S. R.Eddy HMMER http://hmmer.org/(accessed: June2024).
60. ncbi/sra‐tools: SRA Tools https://github.com/ncbi/sra‐tools(accessed: February2025).
61. 10.1093/nar/gkj15810.1093/nar/gkj158 ↗
62. A.Simon B.Laura I.Sarah C.Hayley M.Jo FastQC https://www.bioinformatics.babraham.ac.uk/projects/fastqc/(accessed: June2024).
63. B.Bushnell SOURCEFORGE https://sourceforge.net/projects/bbmap/(accessed: June2024).
64. 10.1093/bioinformatics/btv03310.1093/bioinformatics/btv033 ↗
65. 10.1186/s12859-022-04736-510.1186/s12859-022-04736-5 ↗
66. 10.1093/bioinformatics/bts56510.1093/bioinformatics/bts565 ↗
67. 10.1093/bioinformatics/btl15810.1093/bioinformatics/btl158 ↗
68. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
69. 10.1093/bioinformatics/bty64810.1093/bioinformatics/bty648 ↗
70. 10.1016/j.jgg.2021.03.00610.1016/j.jgg.2021.03.006 ↗
71. W.Shen shenwei356/csvtk: A cross‐platform efficient and practical CSV/TSV toolkit in Golang https://github.com/shenwei356/csvtk(accessed: February2025).
72. 10.1016/j.jmb.2004.03.01610.1016/j.jmb.2004.03.016 ↗
73. D. B.SkretasLab D.Zarafeta G.Filis SkretasLab/ProteoSeeker: ProteoSeeker v1.0.0 https://doi.org/10.5281/ZENODO.13944968 (accessed: October2024).
74. Anaconda Distribution — Anaconda documentation https://docs.anaconda.com/anaconda/(accessed: February2025).