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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-8288921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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