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Remote homolog detection places insect chemoreceptors in a cryptic protein superfamily spanning the tree of life
Open accessPreprint — published as 10.1016/j.cub.2023.10.008 · Paper page
Abstract
Summary: Many proteins exist in the so-called “twilight zone” of sequence alignment, where low pairwise sequence identity makes it difficult to determine homology and phylogeny 1, 2 . As protein tertiary structure is often more conserved 3 , recent advances in ab initio protein folding have made structure-based identification of putative homologs feasible 4–6 . However, structural screening and phylogenetics are in their infancy, particularly for twilight zone proteins. We present a pipeline for the identification and characterization of distant homologs, and apply it to 7-transmembrane domain ion channels (7TMICs), a protein group founded by insect Odorant and Gustatory receptors. Previous sequence and limited structure-based searches identified putatively-related proteins, mainly in other animals and plants 7–10 . However, very few 7TMICs have been identified in non-animal, non-plant taxa. Moreover, these proteins’ remarkable sequence dissimilarity made it uncertain if disparate 7TMIC types (Gr/Or, Grl, GRL, DUF3537, PHTF and GrlHz) are homologous or convergent, leaving their evolutionary history unresolved. Our pipeline identified thousands of new 7TMICs in archaea, bacteria and unicellular eukaryotes. Using graph-based analyses and protein language models to extract family-wide signatures, we demonstrate that 7TMICs have structure and sequence similarity, supporting homology. Through sequence and structure-based phylogenetics, we classify eukaryotic 7TMICs into two families (Class-A and Class-B), which are the result of a gene duplication predating the split(s) leading to Amorphea (animals, fungi and allies) and Diaphoretickes (plants and allies). Our work reveals 7TMICs as a cryptic superfamily with origins close to the evolution of cellular life. More generally, this study serves as a methodological proof of principle for the identification of extremely distant protein homologs.
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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
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Metadata
- Authors
- Himmel, N. J., Moi, D., & Benton, R.
- Affiliations
- University of Lausanne (CH)
- Corresponding author
- Himmel, Nathaniel J.
- Benton, Richard
- Venue
- Current Biology
- Publisher
- openRxiv
- Published
- 2023-09-01
- Volume
- 33
- Issue
- 22
- Pages
- 5023-5033.e4
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W4388050018
- Cited by
- 23
- References
- 1
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 6
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Current Biology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (submittedVersion, other-oa)
- IRIS (submittedVersion)
- Funders
- National Science Foundation
- Human Frontier Science Program (LT-0003/2022L)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (310030B, 185377, 216623)
- Université de Lausanne
- European Research Council
- H2020 European Research Council (833548)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- protein superfamilies, distant homology detection, olfactory receptors, taste receptors, archaea, bacteria, unicellular eukaryotes, protein language models, graph analysis, protein phylogeny, gene duplication, origin of cellular life, convergent evolution
- MeSH terms
- Amino Acid Sequence, Animals, Archaea, Humans, Phylogeny, Plants, Proteins, Sequence Alignment, Evolution, Molecular
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