Binding affinities of 438 HLA proteins to complete proteomes of seven pandemic viruses and distributions of strongest and weakest HLA peptide binders in populations worldwide

被引:76
作者
Barquera, Rodrigo [1 ]
Collen, Evelyn [2 ]
Di, Da [3 ]
Buhler, Stephane [3 ,4 ,5 ]
Teixeira, Joao [2 ,6 ]
Llamas, Bastien [6 ,7 ]
Nunes, Jose M. [3 ,8 ]
Sanchez-Mazas, Alicia [3 ,8 ]
机构
[1] Max Planck Inst Sci Human Hist, Dept Archaeogenet, Jena, Germany
[2] Univ Adelaide, Dept Genet & Evolut, Australian Ctr Ancient DNA ACAD, Adelaide, SA, Australia
[3] Univ Geneva, Dept Genet & Evolut, Anthropol Unit, Geneva, Switzerland
[4] Geneva Univ Hosp, Dept Diagnost, Transplantat Immunol Unit, Geneva, Switzerland
[5] Geneva Univ Hosp, Dept Diagnost, Natl Reference Lab Histocompatibil, Geneva, Switzerland
[6] Univ Adelaide, Ctr Excellence Australian Biodivers & Heritage, Sch Biol Sci, Adelaide, SA, Australia
[7] Univ Adelaide, Environm Inst, Adelaide, SA, Australia
[8] Univ Geneva, Inst Genet & Genom Geneva IGE3, Geneva, Switzerland
基金
澳大利亚研究理事会; 瑞士国家科学基金会;
关键词
coronavirus; COVID-19; HIV; HLA population genetics; Indigenous Americans; influenza; natural selection; peptide-binding predictions; SARS-CoV-2; CLASS-I; BALANCING SELECTION; SOFT SWEEPS; DIVERSITY; MHC; ALLELES; FREQUENCIES; CHIMPANZEES; ADAPTATION; EXPRESSION;
D O I
10.1111/tan.13956
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
We report detailed peptide-binding affinities between 438 HLA Class I and Class II proteins and complete proteomes of seven pandemic human viruses, including coronaviruses, influenza viruses and HIV-1. We contrast these affinities with HLA allele frequencies across hundreds of human populations worldwide. Statistical modelling shows that peptide-binding affinities classified into four distinct categories depend on the HLA locus but that the type of virus is only a weak predictor, except in the case of HIV-1. Among the strong HLA binders (IC50 <= 50), we uncovered 16 alleles (the top ones beingA*02:02,B*15:03andDRB1*01:02) binding more than 1% of peptides derived from all viruses, 9 (top ones includingHLA-A*68:01,B*15:25,C*03:02andDRB1*07:01) binding all viruses except HIV-1, and 15 (top onesA*02:01andC*14:02) only binding coronaviruses. The frequencies of strongest and weakest HLA peptide binders differ significantly among populations from different geographic regions. In particular, Indigenous peoples of America show both higher frequencies of strongest and lower frequencies of weakest HLA binders. As many HLA proteins are found to be strong binders of peptides derived from distinct viral families, and are hence promiscuous (or generalist), we discuss this result in relation to possible signatures of natural selection on HLA promiscuous alleles due to past pathogenic infections. Our findings are highly relevant for both evolutionary genetics and the development of vaccine therapies. However they should not lead to forget that individual resistance and vulnerability to diseases go beyond the sole HLA allelic affinity and depend on multiple, complex and often unknown biological, environmental and other variables.
引用
收藏
页码:277 / 298
页数:22
相关论文
共 73 条
  • [1] Exploring T & B-cell epitopes and designing multi-epitope subunit vaccine targeting integration step of HIV-1 lifecycle using immunoinformatics approach
    Abdulla, Faruq
    Adhikari, Utpal Kumar
    Uddin, M. Kamal
    [J]. MICROBIAL PATHOGENESIS, 2019, 137
  • [2] Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies
    Ahmed, Syed Faraz
    Quadeer, Ahmed A.
    McKay, Matthew R.
    [J]. VIRUSES-BASEL, 2020, 12 (03):
  • [3] A review of HLA allele and SNP associations with highly prevalent infectious diseases in human populations
    Alicia, Sanchez-Mazas
    [J]. SWISS MEDICAL WEEKLY, 2020, 150 : w20214
  • [4] HLA studies in the context of coronavirus outbreaks
    Alicia, Sanchez-Mazas
    [J]. SWISS MEDICAL WEEKLY, 2020, 150
  • [5] Gapped sequence alignment using artificial neural networks: application to the MHC class I system
    Andreatta, Massimo
    Nielsen, Morten
    [J]. BIOINFORMATICS, 2016, 32 (04) : 511 - 517
  • [6] [Anonymous], 2000, Mixed- effects models in Sand S-PLUS
  • [7] Influence of HLA-C Expression Level on HIV Control
    Apps, Richard
    Qi, Ying
    Carlson, Jonathan M.
    Chen, Haoyan
    Gao, Xiaojiang
    Thomas, Rasmi
    Yuki, Yuko
    Del Prete, Greg Q.
    Goulder, Philip
    Brumme, Zabrina L.
    Brumme, Chanson J.
    John, Mina
    Mallal, Simon
    Nelson, George
    Bosch, Ronald
    Heckerman, David
    Stein, Judy L.
    Soderberg, Kelly A.
    Moody, M. Anthony
    Denny, Thomas N.
    Zeng, Xue
    Fang, Jingyuan
    Moffett, Ashley
    Lifson, Jeffrey D.
    Goedert, James J.
    Buchbinder, Susan
    Kirk, Gregory D.
    Fellay, Jacques
    McLaren, Paul
    Deeks, Steven G.
    Pereyra, Florencia
    Walker, Bruce
    Michael, Nelson L.
    Weintrob, Amy
    Wolinsky, Steven
    Liao, Wilson
    Carrington, Mary
    [J]. SCIENCE, 2013, 340 (6128) : 87 - 91
  • [8] UniProt: a worldwide hub of protein knowledge
    Bateman, Alex
    Martin, Maria-Jesus
    Orchard, Sandra
    Magrane, Michele
    Alpi, Emanuele
    Bely, Benoit
    Bingley, Mark
    Britto, Ramona
    Bursteinas, Borisas
    Busiello, Gianluca
    Bye-A-Jee, Hema
    Da Silva, Alan
    De Giorgi, Maurizio
    Dogan, Tunca
    Castro, Leyla Garcia
    Garmiri, Penelope
    Georghiou, George
    Gonzales, Daniel
    Gonzales, Leonardo
    Hatton-Ellis, Emma
    Ignatchenko, Alexandr
    Ishtiaq, Rizwan
    Jokinen, Petteri
    Joshi, Vishal
    Jyothi, Dushyanth
    Lopez, Rodrigo
    Luo, Jie
    Lussi, Yvonne
    MacDougall, Alistair
    Madeira, Fabio
    Mahmoudy, Mahdi
    Menchi, Manuela
    Nightingale, Andrew
    Onwubiko, Joseph
    Palka, Barbara
    Pichler, Klemens
    Pundir, Sangya
    Qi, Guoying
    Raj, Shriya
    Renaux, Alexandre
    Lopez, Milagros Rodriguez
    Saidi, Rabie
    Sawford, Tony
    Shypitsyna, Aleksandra
    Speretta, Elena
    Turner, Edward
    Tyagi, Nidhi
    Vasudev, Preethi
    Volynkin, Vladimir
    Wardell, Tony
    [J]. NUCLEIC ACIDS RESEARCH, 2019, 47 (D1) : D506 - D515
  • [9] HLA class I molecular variation and peptide-binding properties suggest a model of joint divergent asymmetric selection
    Buhler, Stephane
    Nunes, Jose Manuel
    Sanchez-Mazas, Alicia
    [J]. IMMUNOGENETICS, 2016, 68 (6-7) : 401 - 416
  • [10] HLA DNA Sequence Variation among Human Populations: Molecular Signatures of Demographic and Selective Events
    Buhler, Stephane
    Sanchez-Mazas, Alicia
    [J]. PLOS ONE, 2011, 6 (02):