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...

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Main Authors: Bindu Joseph, Jason A Corwin, Baohua Li, Suzi Atwell, Daniel J Kliebenstein
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2013-10-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/00776
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spelling doaj-09d2af44f2354178bba7d0a7f4c1bd1f2021-05-04T22:32:45ZengeLife Sciences Publications LtdeLife2050-084X2013-10-01210.7554/eLife.00776Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolomeBindu Joseph0Jason A Corwin1Baohua Li2Suzi Atwell3Daniel J Kliebenstein4Department of Plant Sciences, University of California, Davis, Davis, United StatesDepartment of Plant Sciences, University of California, Davis, Davis, United StatesDepartment of Plant Sciences, University of California, Davis, Davis, United StatesDepartment of Plant Sciences, University of California, Davis, Davis, United StatesDepartment of Plant Sciences, University of California, Davis, Davis, United States; DynaMo Center of Excellence, University of Copenhagen, Frederiksberg, DenmarkUnderstanding 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.https://elifesciences.org/articles/00776genomic variationmaternal geneticsorganellar variation
collection DOAJ
language English
format Article
sources DOAJ
author Bindu Joseph
Jason A Corwin
Baohua Li
Suzi Atwell
Daniel J Kliebenstein
spellingShingle Bindu Joseph
Jason A Corwin
Baohua Li
Suzi Atwell
Daniel J Kliebenstein
Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome
eLife
genomic variation
maternal genetics
organellar variation
author_facet Bindu Joseph
Jason A Corwin
Baohua Li
Suzi Atwell
Daniel J Kliebenstein
author_sort Bindu Joseph
title 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_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_sort cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2013-10-01
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.
topic genomic variation
maternal genetics
organellar variation
url https://elifesciences.org/articles/00776
work_keys_str_mv AT bindujoseph cytoplasmicgeneticvariationandextensivecytonuclearinteractionsinfluencenaturalvariationinthemetabolome
AT jasonacorwin cytoplasmicgeneticvariationandextensivecytonuclearinteractionsinfluencenaturalvariationinthemetabolome
AT baohuali cytoplasmicgeneticvariationandextensivecytonuclearinteractionsinfluencenaturalvariationinthemetabolome
AT suziatwell cytoplasmicgeneticvariationandextensivecytonuclearinteractionsinfluencenaturalvariationinthemetabolome
AT danieljkliebenstein cytoplasmicgeneticvariationandextensivecytonuclearinteractionsinfluencenaturalvariationinthemetabolome
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