Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome

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Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome. / Joseph, Bindu; Corwin, Jason A.; Li, Baohua; Atwell, Suzi; Kliebenstein, Daniel James.

In: eLife, Vol. 2, 08.10.2013.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Joseph, B, Corwin, JA, Li, B, Atwell, S & Kliebenstein, DJ 2013, 'Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome', eLife, vol. 2. https://doi.org/10.7554/eLife.00776

APA

Joseph, B., Corwin, J. A., Li, B., Atwell, S., & Kliebenstein, D. J. (2013). Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome. eLife, 2. https://doi.org/10.7554/eLife.00776

Vancouver

Joseph B, Corwin JA, Li B, Atwell S, Kliebenstein DJ. Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome. eLife. 2013 Oct 8;2. https://doi.org/10.7554/eLife.00776

Author

Joseph, Bindu ; Corwin, Jason A. ; Li, Baohua ; Atwell, Suzi ; Kliebenstein, Daniel James. / Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome. In: eLife. 2013 ; Vol. 2.

Bibtex

@article{4618c31af3344c2ebe336e65435ffa87,
title = "Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome",
abstract = "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.",
author = "Bindu Joseph and Corwin, {Jason A.} and Baohua Li and Suzi Atwell and Kliebenstein, {Daniel James}",
year = "2013",
month = oct,
day = "8",
doi = "10.7554/eLife.00776",
language = "English",
volume = "2",
journal = "eLife",
issn = "2050-084X",
publisher = "eLife Sciences Publications Ltd.",

}

RIS

TY - JOUR

T1 - Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome

AU - Joseph, Bindu

AU - Corwin, Jason A.

AU - Li, Baohua

AU - Atwell, Suzi

AU - Kliebenstein, Daniel James

PY - 2013/10/8

Y1 - 2013/10/8

N2 - 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.

AB - 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.

U2 - 10.7554/eLife.00776

DO - 10.7554/eLife.00776

M3 - Journal article

C2 - 24150750

VL - 2

JO - eLife

JF - eLife

SN - 2050-084X

ER -

ID: 119826853