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Deep Sequencing the Transcriptome Reveals Seasonal Adaptive Mechanisms in a Hibernating Mammal

Overview of attention for article published in PLOS ONE, October 2011
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Title
Deep Sequencing the Transcriptome Reveals Seasonal Adaptive Mechanisms in a Hibernating Mammal
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0027021
Pubmed ID
Authors

Marshall Hampton, Richard G. Melvin, Anne H. Kendall, Brian R. Kirkpatrick, Nichole Peterson, Matthew T. Andrews

Abstract

Mammalian hibernation is a complex phenotype involving metabolic rate reduction, bradycardia, profound hypothermia, and a reliance on stored fat that allows the animal to survive for months without food in a state of suspended animation. To determine the genes responsible for this phenotype in the thirteen-lined ground squirrel (Ictidomys tridecemlineatus) we used the Roche 454 platform to sequence mRNA isolated at six points throughout the year from three key tissues: heart, skeletal muscle, and white adipose tissue (WAT). Deep sequencing generated approximately 3.7 million cDNA reads from 18 samples (6 time points ×3 tissues) with a mean read length of 335 bases. Of these, 3,125,337 reads were assembled into 140,703 contigs. Approximately 90% of all sequences were matched to proteins in the human UniProt database. The total number of distinct human proteins matched by ground squirrel transcripts was 13,637 for heart, 12,496 for skeletal muscle, and 14,351 for WAT. Extensive mitochondrial RNA sequences enabled a novel approach of using the transcriptome to construct the complete mitochondrial genome for I. tridecemlineatus. Seasonal and activity-specific changes in mRNA levels that met our stringent false discovery rate cutoff (1.0 × 10(-11)) were used to identify patterns of gene expression involving various aspects of the hibernation phenotype. Among these patterns are differentially expressed genes encoding heart proteins AT1A1, NAC1 and RYR2 controlling ion transport required for contraction and relaxation at low body temperatures. Abundant RNAs in skeletal muscle coding ubiquitin pathway proteins ASB2, UBC and DDB1 peak in October, suggesting an increase in muscle proteolysis. Finally, genes in WAT that encode proteins involved in lipogenesis (ACOD, FABP4) are highly expressed in August, but gradually decline in expression during the seasonal transition to lipolysis.

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Geographical breakdown

Country Count As %
United States 5 4%
Spain 2 2%
Canada 1 <1%
Switzerland 1 <1%
France 1 <1%
China 1 <1%
Unknown 111 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Researcher 26 21%
Student > Bachelor 14 11%
Student > Master 13 11%
Student > Doctoral Student 8 7%
Other 25 20%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 58%
Biochemistry, Genetics and Molecular Biology 19 16%
Medicine and Dentistry 6 5%
Neuroscience 3 2%
Immunology and Microbiology 3 2%
Other 7 6%
Unknown 13 11%