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Rhythmic Food Intake Drives Rhythmic Gene Expression More Potently than the Hepatic Circadian Clock in Mice

33 Pages Posted: 31 Jan 2019 Publication Status: Published

See all articles by Ben Greenwell

Ben Greenwell

Texas A&M University - Program of Genetics; Texas A&M University - Department of Biology

Alexandra Trott

Texas A&M University - Program of Genetics; Texas A&M University - Department of Biology

Joshua Beytebiere

Texas A&M University - Department of Biology

Shanny Pao

Texas A&M University - Department of Biology

Alexander Bosley

Texas A&M University - Department of Biology

Erin Beach

Texas A&M University - Department of Biology

Patrick Finegan

Texas A&M University - Program of Genetics

Christopher Hernandez

Texas A&M University - Department of Biology

Jerome Menet

Texas A&M University - Program of Genetics; Texas A&M University - Department of Biology

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Abstract

Every mammalian tissue exhibits daily rhythms in the expression of thousands of genes to control the activation of tissue-specific processes at the most appropriate time of the day. Much of this rhythmic expression is thought to be driven cell-autonomously by molecular circadian clocks present throughout the body. By manipulating the daily rhythm of food intake in the mouse, we here show that more than 70% of the cycling mouse liver transcriptome loses rhythmicity under arrhythmic feeding. Remarkably, this loss of rhythmic gene expression is independent of the hepatic circadian clock, which continues to exhibit normal oscillations in core clock gene expression. Manipulation of rhythmic food intake also alters the timing of key signaling and metabolic pathways without altering the hepatic clock oscillations. Our findings thus demonstrate that systemic signals driven by rhythmic food intake significantly contribute to driving rhythms in liver gene expression and metabolic functions independently of the cell-autonomous hepatic clock.

Suggested Citation

Greenwell, Ben and Trott, Alexandra and Beytebiere, Joshua and Pao, Shanny and Bosley, Alexander and Beach, Erin and Finegan, Patrick and Hernandez, Christopher and Menet, Jerome, Rhythmic Food Intake Drives Rhythmic Gene Expression More Potently than the Hepatic Circadian Clock in Mice (January 29, 2019). Available at SSRN: https://ssrn.com/abstract=3325032 or http://dx.doi.org/10.2139/ssrn.3325032
This version of the paper has not been formally peer reviewed.

Ben Greenwell

Texas A&M University - Program of Genetics

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Alexandra Trott

Texas A&M University - Program of Genetics

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Joshua Beytebiere

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Shanny Pao

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Alexander Bosley

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Erin Beach

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Patrick Finegan

Texas A&M University - Program of Genetics

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Christopher Hernandez

Texas A&M University - Department of Biology

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Jerome Menet (Contact Author)

Texas A&M University - Program of Genetics ( email )

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Texas A&M University - Department of Biology ( email )

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States