IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0089657.html
   My bibliography  Save this article

Two Polymorphisms Facilitate Differences in Plasticity between Two Chicken Major Histocompatibility Complex Class I Proteins

Author

Listed:
  • Alistair Bailey
  • Andy van Hateren
  • Tim Elliott
  • Jörn M Werner

Abstract

Major histocompatibility complex class I molecules (MHC I) present peptides to cytotoxic T-cells at the surface of almost all nucleated cells. The function of MHC I molecules is to select high affinity peptides from a large intracellular pool and they are assisted in this process by co-factor molecules, notably tapasin. In contrast to mammals, MHC homozygous chickens express a single MHC I gene locus, termed BF2, which is hypothesised to have co-evolved with the highly polymorphic tapasin within stable haplotypes. The BF2 molecules of the B15 and B19 haplotypes have recently been shown to differ in their interactions with tapasin and in their peptide selection properties. This study investigated whether these observations might be explained by differences in the protein plasticity that is encoded into the MHC I structure by primary sequence polymorphisms. Furthermore, we aimed to demonstrate the utility of a complimentary modelling approach to the understanding of complex experimental data. Combining mechanistic molecular dynamics simulations and the primary sequence based technique of statistical coupling analysis, we show how two of the eight polymorphisms between BF2*15∶01 and BF2*19∶01 facilitate differences in plasticity. We show that BF2*15∶01 is intrinsically more plastic than BF2*19∶01, exploring more conformations in the absence of peptide. We identify a protein sector of contiguous residues connecting the membrane bound α3 domain and the heavy chain peptide binding site. This sector contains two of the eight polymorphic residues. One is residue 22 in the peptide binding domain and the other 220 is in the α3 domain, a putative tapasin binding site. These observations are in correspondence with the experimentally observed functional differences of these molecules and suggest a mechanism for how modulation of MHC I plasticity by tapasin catalyses peptide selection allosterically.

Suggested Citation

  • Alistair Bailey & Andy van Hateren & Tim Elliott & Jörn M Werner, 2014. "Two Polymorphisms Facilitate Differences in Plasticity between Two Chicken Major Histocompatibility Complex Class I Proteins," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-11, February.
  • Handle: RePEc:plo:pone00:0089657
    DOI: 10.1371/journal.pone.0089657
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0089657
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089657&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0089657?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Richard N. McLaughlin Jr & Frank J. Poelwijk & Arjun Raman & Walraj S. Gosal & Rama Ranganathan, 2012. "The spatial architecture of protein function and adaptation," Nature, Nature, vol. 491(7422), pages 138-142, November.
    2. Katherine Henzler-Wildman & Dorothee Kern, 2007. "Dynamic personalities of proteins," Nature, Nature, vol. 450(7172), pages 964-972, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. César Augusto F de Oliveira & Barry J Grant & Michelle Zhou & J Andrew McCammon, 2011. "Large-Scale Conformational Changes of Trypanosoma cruzi Proline Racemase Predicted by Accelerated Molecular Dynamics Simulation," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-7, October.
    2. Sean L Seyler & Avishek Kumar & M F Thorpe & Oliver Beckstein, 2015. "Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-37, October.
    3. Jonathan Schubert & Andrea Schulze & Chrisostomos Prodromou & Hannes Neuweiler, 2021. "Two-colour single-molecule photoinduced electron transfer fluorescence imaging microscopy of chaperone dynamics," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    4. Feiyu Zhao & Tao Zhang & Xiaodi Sun & Xiyun Zhang & Letong Chen & Hejun Wang & Jinze Li & Peng Fan & Liangxue Lai & Tingting Sui & Zhanjun Li, 2023. "A strategy for Cas13 miniaturization based on the structure and AlphaFold," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Ahmed Abdul Quadeer & David Morales-Jimenez & Matthew R McKay, 2018. "Co-evolution networks of HIV/HCV are modular with direct association to structure and function," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-29, September.
    6. Shou-Wen Wang & Anne-Florence Bitbol & Ned S Wingreen, 2019. "Revealing evolutionary constraints on proteins through sequence analysis," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-16, April.
    7. Khaled Daqrouq & Rami Alhmouz & Ahmed Balamesh & Adnan Memic, 2015. "Application of Wavelet Transform for PDZ Domain Classification," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-16, April.
    8. Yi-Ling Chen & Michael Habeck, 2017. "Data-driven coarse graining of large biomolecular structures," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-17, August.
    9. Tobias Linder & Bert L de Groot & Anna Stary-Weinzinger, 2013. "Probing the Energy Landscape of Activation Gating of the Bacterial Potassium Channel KcsA," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-9, May.
    10. Markus Götz & Anders Barth & Søren S.-R. Bohr & Richard Börner & Jixin Chen & Thorben Cordes & Dorothy A. Erie & Christian Gebhardt & Mélodie C. A. S. Hadzic & George L. Hamilton & Nikos S. Hatzakis &, 2022. "A blind benchmark of analysis tools to infer kinetic rate constants from single-molecule FRET trajectories," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. Jian-Hua Wang & Yu-Liang Tang & Zhou Gong & Rohit Jain & Fan Xiao & Yu Zhou & Dan Tan & Qiang Li & Niu Huang & Shu-Qun Liu & Keqiong Ye & Chun Tang & Meng-Qiu Dong & Xiaoguang Lei, 2022. "Characterization of protein unfolding by fast cross-linking mass spectrometry using di-ortho-phthalaldehyde cross-linkers," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    12. Eugene Klyshko & Justin Sung-Ho Kim & Lauren McGough & Victoria Valeeva & Ethan Lee & Rama Ranganathan & Sarah Rauscher, 2024. "Functional protein dynamics in a crystal," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    13. Antony D. St-Jacques & Joshua M. Rodriguez & Matthew G. Eason & Scott M. Foster & Safwat T. Khan & Adam M. Damry & Natalie K. Goto & Michael C. Thompson & Roberto A. Chica, 2023. "Computational remodeling of an enzyme conformational landscape for altered substrate selectivity," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    14. Karain, Wael I., 2019. "Investigating large-amplitude protein loop motions as extreme events using recurrence interval analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 1-10.
    15. Emily K. Makowski & Patrick C. Kinnunen & Jie Huang & Lina Wu & Matthew D. Smith & Tiexin Wang & Alec A. Desai & Craig N. Streu & Yulei Zhang & Jennifer M. Zupancic & John S. Schardt & Jennifer J. Lin, 2022. "Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. Kalyan S. Chakrabarti & Simon Olsson & Supriya Pratihar & Karin Giller & Kerstin Overkamp & Ko On Lee & Vytautas Gapsys & Kyoung-Seok Ryu & Bert L. Groot & Frank Noé & Stefan Becker & Donghan Lee & Th, 2022. "A litmus test for classifying recognition mechanisms of transiently binding proteins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    17. Maciej Majewski & Adrià Pérez & Philipp Thölke & Stefan Doerr & Nicholas E. Charron & Toni Giorgino & Brooke E. Husic & Cecilia Clementi & Frank Noé & Gianni Fabritiis, 2023. "Machine learning coarse-grained potentials of protein thermodynamics," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Jochen S Hub & Bert L de Groot, 2009. "Detection of Functional Modes in Protein Dynamics," PLOS Computational Biology, Public Library of Science, vol. 5(8), pages 1-13, August.
    19. Bryant Gipson & Mark Moll & Lydia E Kavraki, 2013. "SIMS: A Hybrid Method for Rapid Conformational Analysis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    20. Bian Li & Dan M. Roden & John A. Capra, 2022. "The 3D mutational constraint on amino acid sites in the human proteome," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0089657. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.