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Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome
Understanding genome to phenotype linkages has been greatly enabled by genomic sequencing. However, most genome analysis is typically confined to the nuclear genome. We conducted a metabolomic QTL analysis on a reciprocal RIL population structured to examine how variation in the organelle genomes af...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791467/ https://www.ncbi.nlm.nih.gov/pubmed/24150750 http://dx.doi.org/10.7554/eLife.00776 |
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author | Joseph, Bindu Corwin, Jason A Li, Baohua Atwell, Suzi Kliebenstein, Daniel J |
author_facet | Joseph, Bindu Corwin, Jason A Li, Baohua Atwell, Suzi Kliebenstein, Daniel J |
author_sort | Joseph, Bindu |
collection | PubMed |
description | Understanding genome to phenotype linkages has been greatly enabled by genomic sequencing. However, most genome analysis is typically confined to the nuclear genome. We conducted a metabolomic QTL analysis on a reciprocal RIL population structured to examine how variation in the organelle genomes affects phenotypic variation. This showed that the cytoplasmic variation had effects similar to, if not larger than, the largest individual nuclear locus. Inclusion of cytoplasmic variation into the genetic model greatly increased the explained phenotypic variation. Cytoplasmic genetic variation was a central hub in the epistatic network controlling the plant metabolome. This epistatic influence manifested such that the cytoplasmic background could alter or hide pairwise epistasis between nuclear loci. Thus, cytoplasmic genetic variation plays a central role in controlling natural variation in metabolomic networks. This suggests that cytoplasmic genomes must be included in any future analysis of natural variation. DOI: http://dx.doi.org/10.7554/eLife.00776.001 |
format | Online Article Text |
id | pubmed-3791467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-37914672013-10-22 Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome Joseph, Bindu Corwin, Jason A Li, Baohua Atwell, Suzi Kliebenstein, Daniel J eLife Genomics and Evolutionary Biology Understanding genome to phenotype linkages has been greatly enabled by genomic sequencing. However, most genome analysis is typically confined to the nuclear genome. We conducted a metabolomic QTL analysis on a reciprocal RIL population structured to examine how variation in the organelle genomes affects phenotypic variation. This showed that the cytoplasmic variation had effects similar to, if not larger than, the largest individual nuclear locus. Inclusion of cytoplasmic variation into the genetic model greatly increased the explained phenotypic variation. Cytoplasmic genetic variation was a central hub in the epistatic network controlling the plant metabolome. This epistatic influence manifested such that the cytoplasmic background could alter or hide pairwise epistasis between nuclear loci. Thus, cytoplasmic genetic variation plays a central role in controlling natural variation in metabolomic networks. This suggests that cytoplasmic genomes must be included in any future analysis of natural variation. DOI: http://dx.doi.org/10.7554/eLife.00776.001 eLife Sciences Publications, Ltd 2013-10-08 /pmc/articles/PMC3791467/ /pubmed/24150750 http://dx.doi.org/10.7554/eLife.00776 Text en Copyright © 2013, Joseph et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Genomics and Evolutionary Biology Joseph, Bindu Corwin, Jason A Li, Baohua Atwell, Suzi Kliebenstein, Daniel J Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title | Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title_full | Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title_fullStr | Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title_full_unstemmed | Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title_short | Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
title_sort | cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome |
topic | Genomics and Evolutionary Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791467/ https://www.ncbi.nlm.nih.gov/pubmed/24150750 http://dx.doi.org/10.7554/eLife.00776 |
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