Nature, volume 533, issue 7603, pages 397-401

Local fitness landscape of the green fluorescent protein

Karen S. Sarkisyan 1, 2, 3, 4, 5
Dmitry A. Bolotin 1, 3
Margarita V Meer 4, 5
Dinara R Usmanova 4, 5, 6
George V. Sharonov 1, 7
DMITRY N. IVANKOV 4, 5, 8
Nina G Bozhanova 1
Mikhail S Baranov 1, 9
Onuralp Soylemez 4, 5
NATALYA S. BOGATYREVA 4, 5, 8
Peter K Vlasov 4, 5
Evgeny S. Egorov 1
Maria D. Logacheva 9, 10, 11
Alexey S. Kondrashov 11, 12
Dmitry M. CHUDAKOV 1, 3
Ekaterina V. Putintseva 1, 3
Ilgar Z. Mamedov 1, 3
Dan S Tawfik 13
Konstantin A. Lukyanov 1, 2
Fyodor A. Kondrashov 4, 5, 14
Publication typeJournal Article
Publication date2016-05-10
Journal: Nature
Q1
Q1
SJR18.509
CiteScore90.0
Impact factor50.5
ISSN00280836, 14764687
PubMed ID:  27193686
Multidisciplinary
Abstract
Comprehensive genotype–phenotype mapping of the green fluorescent protein shows that the local fitness peak is narrow, shaped by a high prevalence of epistatic interactions, providing for the loss of fluorescence when the joint effect of mutations exceeds a threshold. Fyodor Kondrashov and colleagues report comprehensive genotype–phenotype mapping across an entire protein, based on analysis of the fitness landscape of green fluorescent protein (GFP) using a molecular barcoding and sequencing approach. They find that the fitness landscape is characterized by locally narrow regions, combined with a high prevalence of epistatic interactions, providing for the loss of fluorescence when the joint effect of mutations exceeds a threshold. Fitness landscapes1,2 depict how genotypes manifest at the phenotypic level and form the basis of our understanding of many areas of biology2,3,4,5,6,7, yet their properties remain elusive. Previous studies have analysed specific genes, often using their function as a proxy for fitness2,4, experimentally assessing the effect on function of single mutations and their combinations in a specific sequence2,5,8,9,10,11,12,13,14,15 or in different sequences2,3,5,16,17,18. However, systematic high-throughput studies of the local fitness landscape of an entire protein have not yet been reported. Here we visualize an extensive region of the local fitness landscape of the green fluorescent protein from Aequorea victoria (avGFP) by measuring the native function (fluorescence) of tens of thousands of derivative genotypes of avGFP. We show that the fitness landscape of avGFP is narrow, with 3/4 of the derivatives with a single mutation showing reduced fluorescence and half of the derivatives with four mutations being completely non-fluorescent. The narrowness is enhanced by epistasis, which was detected in up to 30% of genotypes with multiple mutations and mostly occurred through the cumulative effect of slightly deleterious mutations causing a threshold-like decrease in protein stability and a concomitant loss of fluorescence. A model of orthologous sequence divergence spanning hundreds of millions of years predicted the extent of epistasis in our data, indicating congruence between the fitness landscape properties at the local and global scales. The characterization of the local fitness landscape of avGFP has important implications for several fields including molecular evolution, population genetics and protein design.
Found 
Found 

Top-30

Journals

5
10
15
20
25
Nature Communications
25 publications, 5.13%
Molecular Biology and Evolution
17 publications, 3.49%
Proceedings of the National Academy of Sciences of the United States of America
14 publications, 2.87%
eLife
13 publications, 2.67%
Cell Systems
11 publications, 2.26%
Bioinformatics
9 publications, 1.85%
Nature Machine Intelligence
7 publications, 1.44%
Current Opinion in Structural Biology
7 publications, 1.44%
Nature Ecology and Evolution
6 publications, 1.23%
PLoS Computational Biology
6 publications, 1.23%
PLoS ONE
5 publications, 1.03%
ACS Synthetic Biology
5 publications, 1.03%
Journal of Chemical Information and Modeling
5 publications, 1.03%
Molecular Systems Biology
5 publications, 1.03%
Genetics
5 publications, 1.03%
Science
5 publications, 1.03%
Nature Biotechnology
4 publications, 0.82%
Nature
4 publications, 0.82%
Genome Biology
4 publications, 0.82%
Science advances
4 publications, 0.82%
Evolution; international journal of organic evolution
4 publications, 0.82%
Biochemistry
4 publications, 0.82%
International Journal of Molecular Sciences
3 publications, 0.62%
Nature Methods
3 publications, 0.62%
Journal of Molecular Biology
3 publications, 0.62%
PLoS Biology
3 publications, 0.62%
Angewandte Chemie
3 publications, 0.62%
Angewandte Chemie - International Edition
3 publications, 0.62%
Genome Research
3 publications, 0.62%
5
10
15
20
25

Publishers

20
40
60
80
100
120
140
160
180
Cold Spring Harbor Laboratory
162 publications, 33.26%
Springer Nature
83 publications, 17.04%
Elsevier
46 publications, 9.45%
Oxford University Press
39 publications, 8.01%
Wiley
30 publications, 6.16%
American Chemical Society (ACS)
23 publications, 4.72%
Public Library of Science (PLoS)
15 publications, 3.08%
Proceedings of the National Academy of Sciences (PNAS)
14 publications, 2.87%
eLife Sciences Publications
13 publications, 2.67%
MDPI
9 publications, 1.85%
American Association for the Advancement of Science (AAAS)
9 publications, 1.85%
Frontiers Media S.A.
6 publications, 1.23%
Annual Reviews
4 publications, 0.82%
The Royal Society
3 publications, 0.62%
American Physical Society (APS)
2 publications, 0.41%
Royal Society of Chemistry (RSC)
2 publications, 0.41%
Taylor & Francis
1 publication, 0.21%
Portland Press
1 publication, 0.21%
Ovid Technologies (Wolters Kluwer Health)
1 publication, 0.21%
Institute of Electrical and Electronics Engineers (IEEE)
1 publication, 0.21%
IOP Publishing
1 publication, 0.21%
Research Square Platform LLC
1 publication, 0.21%
Hacettepe University
1 publication, 0.21%
20
40
60
80
100
120
140
160
180
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Sarkisyan K. S. et al. Local fitness landscape of the green fluorescent protein // Nature. 2016. Vol. 533. No. 7603. pp. 397-401.
GOST all authors (up to 50) Copy
Sarkisyan K. S., Bolotin D. A., Meer M. V., Usmanova D. R., Mishin A. S., Sharonov G. V., IVANKOV D. N., Bozhanova N. G., Baranov M. S., Soylemez O., BOGATYREVA N. S., Vlasov P. K., Egorov E. S., Logacheva M. D., Kondrashov A. S., CHUDAKOV D. M., Putintseva E. V., Mamedov I. Z., Tawfik D. S., Lukyanov K. A., Kondrashov F. A. Local fitness landscape of the green fluorescent protein // Nature. 2016. Vol. 533. No. 7603. pp. 397-401.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1038/nature17995
UR - https://doi.org/10.1038/nature17995
TI - Local fitness landscape of the green fluorescent protein
T2 - Nature
AU - Sarkisyan, Karen S.
AU - Bolotin, Dmitry A.
AU - Meer, Margarita V
AU - Usmanova, Dinara R
AU - Mishin, Alexander S.
AU - Sharonov, George V.
AU - IVANKOV, DMITRY N.
AU - Bozhanova, Nina G
AU - Baranov, Mikhail S
AU - Soylemez, Onuralp
AU - BOGATYREVA, NATALYA S.
AU - Vlasov, Peter K
AU - Egorov, Evgeny S.
AU - Logacheva, Maria D.
AU - Kondrashov, Alexey S.
AU - CHUDAKOV, Dmitry M.
AU - Putintseva, Ekaterina V.
AU - Mamedov, Ilgar Z.
AU - Tawfik, Dan S
AU - Lukyanov, Konstantin A.
AU - Kondrashov, Fyodor A.
PY - 2016
DA - 2016/05/10
PB - Springer Nature
SP - 397-401
IS - 7603
VL - 533
PMID - 27193686
SN - 0028-0836
SN - 1476-4687
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2016_Sarkisyan,
author = {Karen S. Sarkisyan and Dmitry A. Bolotin and Margarita V Meer and Dinara R Usmanova and Alexander S. Mishin and George V. Sharonov and DMITRY N. IVANKOV and Nina G Bozhanova and Mikhail S Baranov and Onuralp Soylemez and NATALYA S. BOGATYREVA and Peter K Vlasov and Evgeny S. Egorov and Maria D. Logacheva and Alexey S. Kondrashov and Dmitry M. CHUDAKOV and Ekaterina V. Putintseva and Ilgar Z. Mamedov and Dan S Tawfik and Konstantin A. Lukyanov and Fyodor A. Kondrashov},
title = {Local fitness landscape of the green fluorescent protein},
journal = {Nature},
year = {2016},
volume = {533},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1038/nature17995},
number = {7603},
pages = {397--401},
doi = {10.1038/nature17995}
}
MLA
Cite this
MLA Copy
Sarkisyan, Karen S., et al. “Local fitness landscape of the green fluorescent protein.” Nature, vol. 533, no. 7603, May. 2016, pp. 397-401. https://doi.org/10.1038/nature17995.
Found error?