Literature DB >> 27080103

Network of epistatic interactions within a yeast snoRNA.

Olga Puchta1, Botond Cseke2, Hubert Czaja3, David Tollervey4, Guido Sanguinetti5, Grzegorz Kudla6.   

Abstract

Epistatic interactions play a fundamental role in molecular evolution, but little is known about the spatial distribution of these interactions within genes. To systematically survey a model landscape of intragenic epistasis, we quantified the fitness of ~60,000 Saccharomyces cerevisiae strains expressing randomly mutated variants of the 333-nucleotide-long U3 small nucleolar RNA (snoRNA). The fitness effects of individual mutations were correlated with evolutionary conservation and structural stability. Many mutations had small individual effects but had large effects in the context of additional mutations, which indicated negative epistasis. Clusters of negative interactions were explained by local thermodynamic threshold effects, whereas positive interactions were enriched among large-effect sites and between base-paired nucleotides. We conclude that high-throughput mapping of intragenic epistasis can identify key structural and functional features of macromolecules.
Copyright © 2016, American Association for the Advancement of Science.

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Year:  2016        PMID: 27080103      PMCID: PMC5137784          DOI: 10.1126/science.aaf0965

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  35 in total

1.  Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions.

Authors:  Robert P St Onge; Ramamurthy Mani; Julia Oh; Michael Proctor; Eula Fung; Ronald W Davis; Corey Nislow; Frederick P Roth; Guri Giaever
Journal:  Nat Genet       Date:  2007-01-07       Impact factor: 38.330

2.  Compensatory mutations are repeatable and clustered within proteins.

Authors:  Brad H Davis; Art F Y Poon; Michael C Whitlock
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

3.  Protein evolution. Pervasive degeneracy and epistasis in a protein-protein interface.

Authors:  Anna I Podgornaia; Michael T Laub
Journal:  Science       Date:  2015-02-06       Impact factor: 47.728

4.  Sequence co-evolution gives 3D contacts and structures of protein complexes.

Authors:  Thomas A Hopf; Charlotta P I Schärfe; João P G L M Rodrigues; Anna G Green; Oliver Kohlbacher; Chris Sander; Alexandre M J J Bonvin; Debora S Marks
Journal:  Elife       Date:  2014-09-25       Impact factor: 8.140

5.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

6.  A systematic survey of an intragenic epistatic landscape.

Authors:  Claudia Bank; Ryan T Hietpas; Jeffrey D Jensen; Daniel N A Bolon
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

Review 7.  Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors:  Patrick C Phillips
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

8.  Base pairing between U3 and the pre-ribosomal RNA is required for 18S rRNA synthesis.

Authors:  M Beltrame; D Tollervey
Journal:  EMBO J       Date:  1995-09-01       Impact factor: 11.598

9.  The initial U3 snoRNA:pre-rRNA base pairing interaction required for pre-18S rRNA folding revealed by in vivo chemical probing.

Authors:  Laura M Dutca; Jennifer E G Gallagher; Susan J Baserga
Journal:  Nucleic Acids Res       Date:  2011-02-23       Impact factor: 16.971

10.  Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.

Authors:  Xionglei He; Wenfeng Qian; Zhi Wang; Ying Li; Jianzhi Zhang
Journal:  Nat Genet       Date:  2010-01-24       Impact factor: 38.330

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  49 in total

1.  Computational Complexity as an Ultimate Constraint on Evolution.

Authors:  Artem Kaznatcheev
Journal:  Genetics       Date:  2019-03-04       Impact factor: 4.562

2.  The distribution of epistasis on simple fitness landscapes.

Authors:  Christelle Fraïsse; John J Welch
Journal:  Biol Lett       Date:  2019-04-26       Impact factor: 3.703

Review 3.  Mastering the control of the Rho transcription factor for biotechnological applications.

Authors:  Tomás G Villa; Ana G Abril; Angeles Sánchez-Pérez
Journal:  Appl Microbiol Biotechnol       Date:  2021-05-08       Impact factor: 4.813

4.  Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments.

Authors:  Alina Selega; Christel Sirocchi; Ira Iosub; Sander Granneman; Guido Sanguinetti
Journal:  Nat Methods       Date:  2016-11-07       Impact factor: 28.547

5.  Negative selection in humans and fruit flies involves synergistic epistasis.

Authors:  Mashaal Sohail; Olga A Vakhrusheva; Jae Hoon Sul; Sara L Pulit; Laurent C Francioli; Leonard H van den Berg; Jan H Veldink; Paul I W de Bakker; Georgii A Bazykin; Alexey S Kondrashov; Shamil R Sunyaev
Journal:  Science       Date:  2017-05-05       Impact factor: 47.728

6.  A Statistical Guide to the Design of Deep Mutational Scanning Experiments.

Authors:  Sebastian Matuszewski; Marcel E Hildebrandt; Ana-Hermina Ghenu; Jeffrey D Jensen; Claudia Bank
Journal:  Genetics       Date:  2016-07-13       Impact factor: 4.562

Review 7.  Negative Epistasis in Experimental RNA Fitness Landscapes.

Authors:  Devin P Bendixsen; Bjørn Østman; Eric J Hayden
Journal:  J Mol Evol       Date:  2017-11-10       Impact factor: 2.395

8.  Accurate inference of the full base-pairing structure of RNA by deep mutational scanning and covariation-induced deviation of activity.

Authors:  Zhe Zhang; Peng Xiong; Tongchuan Zhang; Junfeng Wang; Jian Zhan; Yaoqi Zhou
Journal:  Nucleic Acids Res       Date:  2020-02-20       Impact factor: 16.971

Review 9.  Genetic suppression: Extending our knowledge from lab experiments to natural populations.

Authors:  Takeshi Matsui; Jonathan T Lee; Ian M Ehrenreich
Journal:  Bioessays       Date:  2017-05-04       Impact factor: 4.345

10.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

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