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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Online Access: | https://elifesciences.org/articles/00776 |
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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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1721477171314163712 |