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Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana
Seed germination is characterized by a constant change of gene expression across different time points. These changes are related to specific processes, which eventually determine the onset of seed germination. To get a better understanding on the regulation of gene expression during seed germinatio...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642920/ https://www.ncbi.nlm.nih.gov/pubmed/32963085 http://dx.doi.org/10.1534/g3.120.401477 |
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author | Hartanto, Margi Joosen, Ronny V. L. Snoek, Basten L. Willems, Leo A. J. Sterken, Mark G. de Ridder, Dick Hilhorst, Henk W. M. Ligterink, Wilco Nijveen, Harm |
author_facet | Hartanto, Margi Joosen, Ronny V. L. Snoek, Basten L. Willems, Leo A. J. Sterken, Mark G. de Ridder, Dick Hilhorst, Henk W. M. Ligterink, Wilco Nijveen, Harm |
author_sort | Hartanto, Margi |
collection | PubMed |
description | Seed germination is characterized by a constant change of gene expression across different time points. These changes are related to specific processes, which eventually determine the onset of seed germination. To get a better understanding on the regulation of gene expression during seed germination, we performed a quantitative trait locus mapping of gene expression (eQTL) at four important seed germination stages (primary dormant, after-ripened, six-hour after imbibition, and radicle protrusion stage) using Arabidopsis thaliana Bay x Sha recombinant inbred lines (RILs). The mapping displayed the distinctness of the eQTL landscape for each stage. We found several eQTL hotspots across stages associated with the regulation of expression of a large number of genes. Interestingly, an eQTL hotspot on chromosome five collocates with hotspots for phenotypic and metabolic QTL in the same population. Finally, we constructed a gene co-expression network to prioritize the regulatory genes for two major eQTL hotspots. The network analysis prioritizes transcription factors DEWAX and ICE1 as the most likely regulatory genes for the hotspot. Together, we have revealed that the genetic regulation of gene expression is dynamic along the course of seed germination. |
format | Online Article Text |
id | pubmed-7642920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-76429202020-11-13 Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana Hartanto, Margi Joosen, Ronny V. L. Snoek, Basten L. Willems, Leo A. J. Sterken, Mark G. de Ridder, Dick Hilhorst, Henk W. M. Ligterink, Wilco Nijveen, Harm G3 (Bethesda) Investigations Seed germination is characterized by a constant change of gene expression across different time points. These changes are related to specific processes, which eventually determine the onset of seed germination. To get a better understanding on the regulation of gene expression during seed germination, we performed a quantitative trait locus mapping of gene expression (eQTL) at four important seed germination stages (primary dormant, after-ripened, six-hour after imbibition, and radicle protrusion stage) using Arabidopsis thaliana Bay x Sha recombinant inbred lines (RILs). The mapping displayed the distinctness of the eQTL landscape for each stage. We found several eQTL hotspots across stages associated with the regulation of expression of a large number of genes. Interestingly, an eQTL hotspot on chromosome five collocates with hotspots for phenotypic and metabolic QTL in the same population. Finally, we constructed a gene co-expression network to prioritize the regulatory genes for two major eQTL hotspots. The network analysis prioritizes transcription factors DEWAX and ICE1 as the most likely regulatory genes for the hotspot. Together, we have revealed that the genetic regulation of gene expression is dynamic along the course of seed germination. Genetics Society of America 2020-09-22 /pmc/articles/PMC7642920/ /pubmed/32963085 http://dx.doi.org/10.1534/g3.120.401477 Text en Copyright © 2020 Hartanto et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Hartanto, Margi Joosen, Ronny V. L. Snoek, Basten L. Willems, Leo A. J. Sterken, Mark G. de Ridder, Dick Hilhorst, Henk W. M. Ligterink, Wilco Nijveen, Harm Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title | Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title_full | Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title_fullStr | Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title_full_unstemmed | Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title_short | Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana |
title_sort | network analysis prioritizes dewax and ice1 as the candidate genes for major eqtl hotspots in seed germination of arabidopsis thaliana |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642920/ https://www.ncbi.nlm.nih.gov/pubmed/32963085 http://dx.doi.org/10.1534/g3.120.401477 |
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