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Decoupling gene functions from knockout effects by evolutionary analyses

Genic functions have long been confounded by pleiotropic mutational effects. To understand such genetic effects, we examine HAP4, a well-studied transcription factor in Saccharomyces cerevisiae that functions by forming a tetramer with HAP2, HAP3 and HAP5. Deletion of HAP4 results in highly pleiotro...

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Autores principales: Liu, Li, Liu, Mengdi, Zhang, Di, Deng, Shanjun, Chen, Piaopiao, Yang, Jing, Xie, Yunhan, He, Xionglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288921/
https://www.ncbi.nlm.nih.gov/pubmed/34692141
http://dx.doi.org/10.1093/nsr/nwaa079
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author Liu, Li
Liu, Mengdi
Zhang, Di
Deng, Shanjun
Chen, Piaopiao
Yang, Jing
Xie, Yunhan
He, Xionglei
author_facet Liu, Li
Liu, Mengdi
Zhang, Di
Deng, Shanjun
Chen, Piaopiao
Yang, Jing
Xie, Yunhan
He, Xionglei
author_sort Liu, Li
collection PubMed
description Genic functions have long been confounded by pleiotropic mutational effects. To understand such genetic effects, we examine HAP4, a well-studied transcription factor in Saccharomyces cerevisiae that functions by forming a tetramer with HAP2, HAP3 and HAP5. Deletion of HAP4 results in highly pleiotropic gene expression responses, some of which are clustered in related cellular processes (clustered effects) while most are distributed randomly across diverse cellular processes (distributed effects). Strikingly, the distributed effects that account for much of HAP4 pleiotropy tend to be non-heritable in a population, suggesting they have few evolutionary consequences. Indeed, these effects are poorly conserved in closely related yeasts. We further show substantial overlaps of clustered effects, but not distributed effects, among the four genes encoding the HAP2/3/4/5 tetramer. This pattern holds for other biochemically characterized yeast protein complexes or metabolic pathways. Examination of a set of cell morphological traits of the deletion lines yields consistent results. Hence, only some deletion effects of a gene support related biochemical understandings with the rest being often pleiotropic and evolutionarily decoupled from the gene's normal functions. This study suggests a new framework for reverse genetic analysis.
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spelling pubmed-82889212021-10-21 Decoupling gene functions from knockout effects by evolutionary analyses Liu, Li Liu, Mengdi Zhang, Di Deng, Shanjun Chen, Piaopiao Yang, Jing Xie, Yunhan He, Xionglei Natl Sci Rev Research Article Genic functions have long been confounded by pleiotropic mutational effects. To understand such genetic effects, we examine HAP4, a well-studied transcription factor in Saccharomyces cerevisiae that functions by forming a tetramer with HAP2, HAP3 and HAP5. Deletion of HAP4 results in highly pleiotropic gene expression responses, some of which are clustered in related cellular processes (clustered effects) while most are distributed randomly across diverse cellular processes (distributed effects). Strikingly, the distributed effects that account for much of HAP4 pleiotropy tend to be non-heritable in a population, suggesting they have few evolutionary consequences. Indeed, these effects are poorly conserved in closely related yeasts. We further show substantial overlaps of clustered effects, but not distributed effects, among the four genes encoding the HAP2/3/4/5 tetramer. This pattern holds for other biochemically characterized yeast protein complexes or metabolic pathways. Examination of a set of cell morphological traits of the deletion lines yields consistent results. Hence, only some deletion effects of a gene support related biochemical understandings with the rest being often pleiotropic and evolutionarily decoupled from the gene's normal functions. This study suggests a new framework for reverse genetic analysis. Oxford University Press 2020-07 2020-04-24 /pmc/articles/PMC8288921/ /pubmed/34692141 http://dx.doi.org/10.1093/nsr/nwaa079 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Li
Liu, Mengdi
Zhang, Di
Deng, Shanjun
Chen, Piaopiao
Yang, Jing
Xie, Yunhan
He, Xionglei
Decoupling gene functions from knockout effects by evolutionary analyses
title Decoupling gene functions from knockout effects by evolutionary analyses
title_full Decoupling gene functions from knockout effects by evolutionary analyses
title_fullStr Decoupling gene functions from knockout effects by evolutionary analyses
title_full_unstemmed Decoupling gene functions from knockout effects by evolutionary analyses
title_short Decoupling gene functions from knockout effects by evolutionary analyses
title_sort decoupling gene functions from knockout effects by evolutionary analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288921/
https://www.ncbi.nlm.nih.gov/pubmed/34692141
http://dx.doi.org/10.1093/nsr/nwaa079
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