Evidence map›Paper›PMID 30969963›Full record

ArticlePLoS genetics2019

An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape.

Victoria O Pokusaeva, Dinara R Usmanova, Ekaterina V Putintseva, Lorena Espinar, Karen S Sarkisyan, Alexander S Mishin, Natalya S Bogatyreva, Dmitry N Ivankov, Arseniy V Akopyan, Sergey Ya Avvakumov and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 138 citations in OpenAlex.

  1. Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Descent from a common ancestor restricts exploration of protein sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Enhancing kCommunications biology · 2026
    Article
  8. Review
  9. Distinguishing direct interactions from global epistasis using rank statistics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
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  17. Protein stability models fail to capture epistatic interactions of double point mutations.Protein science : a publication of the Protein Society · 2025
    Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 6 countries.

Victoria O PokusaevaInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.ORCID 0000-0001-7660-444X
Dinara R UsmanovaDepartment of Systems Biology, Columbia University, New York, NY, United States of America.ORCID 0000-0001-5031-0013
Ekaterina V PutintsevaInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.ORCID 0000-0003-4421-3844
Lorena EspinarBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), 88 Dr. Aiguader, Barcelona, Spain.ORCID 0000-0003-3881-3886
Karen S SarkisyanInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.ORCID 0000-0002-5375-6341
Alexander S MishinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.ORCID 0000-0002-4935-7030
Natalya S BogatyrevaBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), 88 Dr. Aiguader, Barcelona, Spain.
Dmitry N IvankovInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.
Arseniy V AkopyanInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.ORCID 0000-0002-2548-617X
Sergey Ya AvvakumovInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.
Inna S PovolotskayaVeltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russia.ORCID 0000-0001-6621-232X
Guillaume J FilionBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), 88 Dr. Aiguader, Barcelona, Spain.ORCID 0000-0002-3473-1632
Lucas B CareyUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Fyodor A KondrashovInstitute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.ORCID 0000-0001-8243-4694
Institute of Science and Technology Austria · ATUniversitat Pompeu Fabra · ESColumbia University · USInstitute of Bioorganic Chemistry · RUPirogov Russian National Research Medical University · RU

Funding

Howard Hughes Medical Institute 55007424Medical Research Council MC_UP_1605/9
6 · The paper itself

Abstract

Characterizing the fitness landscape, a representation of fitness for a large set of genotypes, is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of the fitness landscape of His3, a gene coding for an enzyme in the histidine synthesis pathway, focusing on combinations of amino acid states found at orthologous sites of extant species. Just 15% of amino acids found in yeast His3 orthologues were always neutral while the impact on fitness of the remaining 85% depended on the genetic background. Furthermore, at 67% of sites, amino acid replacements were under sign epistasis, having both strongly positive and negative effect in different genetic backgrounds. 46% of sites were under reciprocal sign epistasis. The fitness impact of amino acid replacements was influenced by only a few genetic backgrounds but involved interaction of multiple sites, shaping a rugged fitness landscape in which many of the shortest paths between highly fit genotypes are inaccessible.

Indexed as

Evolution, MolecularGenetic FitnessAmino AcidsAmino Acid SequenceAmino Acid SubstitutionEpistasis, GeneticFungal ProteinsGenes, FungalGenotypeHydro-LyasesModels, GeneticModels, MolecularPhylogenySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsYeastsAmino AcidsFungal ProteinsHIS3 protein, S cerevisiaeHydro-LyasesSaccharomyces cerevisiae Proteins

Identifiers

PMID30969963
PMCPMC6476524
OpenAlexW2937251344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.