PreprintCited by 10Evolution and Genetic DynamicsGenomics and Phylogenetic StudiesGenetic diversity and population structure

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Intermolecular interactions drive protein adaptive and co-adaptive evolution at both species and population levels

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Peng, Junhui, Svetec, Nicolas, Zhao, Li·2021·Molecular Biology and Evolution

Preprint — published as 10.1093/molbev/msab350 · Paper page

Abstract

Proteins are the building blocks for almost all the functions in cells. Understanding the molecular evolution of proteins and the forces that shape protein evolution is essential in understanding the basis of function and evolution. Previous studies have shown that adaptation frequently occurs at the protein surface, such as in genes involved in host-pathogen interactions. However, it remains unclear whether adaptive sites are distributed randomly or at regions associated with particular structural or functional characteristics across the genome, since many proteins lack structural or functional annotations. Here, we seek to tackle this question by combining large-scale bioinformatic prediction, structural analysis, phylogenetic inference, and population genomic analysis of Drosophila protein-coding genes. We found that protein sequence adaptation is more relevant to function-related rather than structure-related properties. Interestingly, intermolecular interactions contribute significantly to protein adaptation. We further showed that intermolecular interactions, such as physical interactions may play a role in the co-adaptation of fast-adaptive proteins. We found that strongly differentiated amino acids across geographic regions in protein-coding genes are mostly adaptive, which may contribute to the long-term adaptive evolution. This strongly indicates that a number of adaptive sites tend to be repeatedly mutated and selected in evolution, in the past, present, and maybe future. Our results highlight the important roles of intermolecular interactions and co-adaptation in the adaptive evolution of proteins both at the species and population levels.

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Research works printed but not linked: 88

  1. 10.1101/gr.232645.117 · DOI
  2. 10.1534/genetics.107.084244 · DOI
  3. 10.1093/molbev/msi201 · DOI
  4. 2000, Adaptive evolution of relish, a Drosophila NF-kappaB/IkappaB protein, Genetics, 154, 1231, 10.1093/genetics/154.3.1231 · DOI
  5. 10.1371/journal.pbio.0050310 · DOI
  6. 10.1371/journal.pgen.1004775 · DOI
  7. 10.1093/nar/gkw1132 · DOI
  8. 10.1101/gr.1865504 · DOI · Paper page
  9. 10.1093/nar/gky1004 · DOI
  10. 10.1038/s41586-018-0420-8 · DOI
  11. 10.1186/1471-2105-10-421 · DOI · Paper page
  12. 10.1093/molbev/msn005 · DOI
  13. 10.1016/j.str.2016.03.008 · DOI
  14. Dasmeh, P. , Serohijos, A.W.R. , Kepp, K.P. , and Shakhnovich, E.I. (2013). Positively Selected Sites in Cetacean Myoglobins Contribute to Protein Stability. PLoS Comput. Biol. 9. · DOI
  15. 10.1073/pnas.0504070102 · DOI · Paper page
  16. 10.1038/nrg.2015.18 · DOI
  17. 10.7554/eLife.12469 · DOI
  18. 10.1111/j.1365-294X.2012.05731.x · DOI
  19. 10.1002/(SICI)1099-1352(199907/08)12:4<226::AID-JMR462>3.0.CO;2-P · DOI
  20. 1998, Assessing the impact of secondary structure and solvent accessibility on protein evolution, Genetics, 149, 445, 10.1093/genetics/149.1.445 · DOI · Paper page
  21. 10.1126/science.1076196 · DOI
  22. 10.1101/gr.171546.113 · DOI · Paper page
  23. 10.1038/335167a0 · DOI
  24. 10.1111/j.1420-9101.2007.01305.x · DOI
  25. Jordan, I.K. , Wolf, Y.I. , and Koonin, E. V. (2003). No simple dependence between protein evolution rate and the number of protein-protein interactions: Only the most prolific interactors tend to evolve slowly. BMC Evol. Biol. 3. · DOI
  26. 10.1007/s00239-012-9488-1 · DOI
  27. 10.1126/science.1136174 · DOI
  28. 10.1534/genetics.110.123059 · DOI
  29. Kondo, S. , Vedanayagam, J. , Mohammed, J. , Eizadshenass, S. , Kan, L. , Pang, N. , Aradhya, R. , Siepel, A. , Steinhauer, J. , and Lai, E.C. (2017). New genes often acquire male- specific functions but rarely become essential in Drosophila. 1841–1846. · DOI
  30. 10.1371/journal.pgen.1000144 · DOI · Paper page
  31. 10.1093/bioinformatics/btz595 · DOI
  32. 10.1534/genetics.115.174664 · DOI
  33. 10.1534/genetics.112.142018 · DOI
  34. 10.1016/j.tig.2007.12.001 · DOI
  35. 10.1093/molbev/msm122 · DOI
  36. 10.1126/science.1092447 · DOI
  37. 10.1093/nar/gkx976 · DOI
  38. 10.1093/molbev/msx168 · DOI
  39. Lima, L.F. , Torres, A.Q. , Jardim, R. , Mesquita, R.D. , and Schama, R. (2021). Evolution of Toll, Spatzle and MyD88 in insects: the problem of the Diptera bias. BMC Genomics 22. · DOI
  40. 10.1093/molbev/msm019 · DOI
  41. 10.1038/nature10530 · DOI · Paper page
  42. 10.1007/978-1-62703-646-7_10 · DOI
  43. Markova-Raina, P. , and Petrov, D. (2011). High sensitivity to aligner and high rate of false positives in the estimates of positive selection in the 12 Drosophila genomes. Genome Res. · DOI
  44. 2019, Background selection and FST: Consequences for detecting local adaptation, Mol. Ecol., 28, 3902, 10.1111/mec.15197 · DOI · Paper page
  45. McBride, C.S. (2007). Rapid evolution of smell and taste receptor genes during host specialization in Drosophila sechellia. Proc. Natl. Acad. Sci. U. S. A. · DOI
  46. 10.1073/pnas.1220835110 · DOI
  47. 10.1073/pnas.0502667102 · DOI
  48. 10.1093/molbev/msz134 · DOI
  49. 10.1016/j.str.2011.04.006 · DOI · Paper page
  50. 2021, Critical assessment of protein intrinsic disorder prediction, Nat. Methods, 18, 472, 10.1038/s41592-021-01117-3 · DOI · Paper page
  51. 10.1371/journal.pbio.0030170 · DOI
  52. 10.1371/journal.pgen.1000698 · DOI
  53. 10.2460/javma.242.4.458. · DOI
  54. 10.1534/genetics.117.300567 · DOI
  55. 10.1038/emboj.2008.189 · DOI
  56. 10.1093/nar/gkq1091 · DOI
  57. 2013, Altitudinal clinal variation in wing size and shape in african drosophila melanogaster: One cline or many?, Evolution (N. Y)., 67, 438
  58. 10.1534/genetics.111.128025 · DOI
  59. 10.1073/pnas.1904707116 · DOI
  60. 10.1534/genetics.114.161463 · DOI
  61. 10.1038/ng.2007.60 · DOI
  62. 10.1093/molbev/msu064 · DOI
  63. 10.1016/j.tig.2017.12.005 · DOI · Paper page
  64. 10.1101/gr.238733.118 · DOI
  65. 10.1038/nrg3905 · DOI · Paper page
  66. 10.1073/pnas.1916786117 · DOI
  67. 10.1038/4151022a · DOI
  68. 10.1016/j.str.2013.08.005 · DOI
  69. 10.1534/genetics.108.088732 · DOI
  70. 10.1371/journal.pgen.1005869 · DOI
  71. 10.1093/nar/gky1131 · DOI · Paper page
  72. 10.1038/nature05201 · DOI · Paper page
  73. 10.1093/nar/gky1003 · DOI
  74. 10.1126/science.abf6505 · DOI
  75. 2019, Exploiting selection at linked sites to infer the rate and strength of adaptation, Nat. Ecol. Evol., 3, 977, 10.1038/s41559-019-0890-6 · DOI
  76. Uversky, V.N. (2019). Intrinsically disordered proteins and their “Mysterious” (meta)physics. Front. Phys. 7. · DOI
  77. 10.1093/nar/gkw306 · DOI
  78. 10.1093/molbev/msp139 · DOI
  79. 2017, DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues, Nucleic Acids Res., 45, gkx059
  80. 10.1093/bioinformatics/bti042 · DOI · Paper page
  81. 10.1093/molbev/msm088 · DOI · Paper page
  82. 2018, Sixty-five years of the long march in protein secondary structure prediction: The final stretch? Brief, Bioinform., 19, 482
  83. 10.1093/molbev/msi097 · DOI
  84. 10.1093/molbev/msi101 · DOI
  85. 10.1038/nrg3950 · DOI
  86. 10.1101/gr.107334.110 · DOI
  87. 10.1371/journal.pgen.1005184 · DOI
  88. 10.1038/416703a · DOI · Paper page

Metadata

Authors
Peng, J., Svetec, N., & Zhao, L.
Affiliations
Rockefeller University (US)
Corresponding author
Zhao, Li
Venue
Molecular Biology and Evolution
Publisher
openRxiv
Published
2021-02-10
Volume
39
Issue
1
ISSN
0737-4038 (ISSN-L)
OpenAlex
W4206512201
Cited by
10
References
1
Citations by year
2026: 3 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 1
FWCI
0.56
Type
journal article
Language
en
Open access
Locations
  • Molecular Biology and Evolution (publishedVersion, cc-by-nc)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • Robertson Foundation
  • National Institutes of Health
  • National Institute of General Medical Sciences (R35GM133780)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
Keywords
co-adaptation, intermolecular interactions, Drosophila, genetic differentiation, protein function, protein structure, host-pathogen interaction, protein-coding genes
MeSH terms
Animals, Drosophila, Phylogeny, Proteins, Genome, Evolution, Molecular

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