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New carbohydrate binding domains identified by phage display based functional metagenomic screens of human gut microbiota
Open accessPreprint — published as 10.1038/s42003-023-04718-0 · Paper page
Abstract
Uncultured microbes represent a huge untapped biological resource of novel genes and gene products. Although recent genomic and metagenomic sequencing efforts have led to the identification of numerous genes that are homologous to existing annotated genes, there remains, yet, an enormous pool of unannotated genes that do not find significant sequence homology to existing annotated genes. Functional metagenomics offers a way to identify and annotate novel gene products. Here, we have constructed a metagenomic phage display library from healthy human fecal samples, and performed functional carbohydrate binding screens against dietary, microbial and host polysaccharides/glycoconjugates in order to mine novel carbohydrate binding domains that might aid gut commensals in the metabolism of complex carbohydrates and in adherence and colonization of the gut. We obtained several protein sequences that do not find a hit to any known Pfam domain but show carbohydrate binding module-like folds as per Alphafold2 prediction. We heterologously expressed, purified and biochemically characterized some of these protein domains and demonstrated their carbohydrate-binding function. Our study reveals several previously unannotated carbohydrate-binding domains, including a levan binding domain and four complex N-glycan binding domains that might be useful for the labeling, visualization, and isolation of these glycans.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Metadata
- Authors
- Akhtar, A., Lata, M., Sunsunwal, S., Yadav, A., LNU, K., subramanian, S., & Ramya, T. N. C.
- Affiliations
- Emory University (US)
- Institute of Microbial Technology (IN)
- CSIR-Institute of Microbial Technology
- Corresponding author
- Ramya, T.N.C.
- Venue
- Communications Biology
- Published
- 2022-09-22
- Volume
- 6
- Issue
- 1
- Pages
- 371-371
- ISSN
- 2399-3642 (ISSN-L)
- PMC
- PMC10076258
- OpenAlex
- W4362634303
- Cited by
- 9
- References
- 1
- Citations by year
- 2026: 1 · 2025: 5 · 2023: 3
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Communications Biology (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Department of Biotechnology, Ministry of Science and Technology, India
- Council of Scientific and Industrial Research, India (BSC0119)
- University Grants Commission
- National Institute of General Medical Sciences (R24GM098791, P41GM103694)
- CSIR - Institute of Microbial Technology
- Brookhaven National Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- carbohydrate-binding domain, human gut microbiome, functional metagenomics, unannotated genes, polysaccharide binding, glycoconjugates, intestinal colonization, heterologous expression
- MeSH terms
- Gastrointestinal Microbiome, Bacteriophages, Carbohydrates, Humans, Genomics, Metagenomics
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.