Title |
Novel genomic resources for a climate change sensitive mammal: characterization of the American pika transcriptome
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Published in |
BMC Genomics, May 2013
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DOI | 10.1186/1471-2164-14-311 |
Pubmed ID | |
Authors |
Matthew A Lemay, Philippe Henry, Clayton T Lamb, Kelsey M Robson, Michael A Russello |
Abstract |
When faced with climate change, species must either shift their home range or adapt in situ in order to maintain optimal physiological balance with their environment. The American pika (Ochotona princeps) is a small alpine mammal with limited dispersal capacity and low tolerance for thermal stress. As a result, pikas have become an important system for examining biotic responses to changing climatic conditions. Previous research using amplified fragment length polymorphisms (AFLPs) has revealed evidence for environmental-mediated selection in O. princeps populations distributed along elevation gradients, yet the anonymity of AFLP loci and lack of available genomic resources precluded the identification of associated gene regions. Here, we harnessed next-generation sequencing technology in order to characterize the American pika transcriptome and identify a large suite of single nucleotide polymorphisms (SNPs), which can be used to elucidate elevation- and site-specific patterns of sequence variation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 6% |
Canada | 2 | 2% |
Uruguay | 1 | <1% |
Australia | 1 | <1% |
South Africa | 1 | <1% |
Spain | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 89 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 25% |
Student > Ph. D. Student | 25 | 25% |
Student > Master | 16 | 16% |
Professor > Associate Professor | 7 | 7% |
Student > Bachelor | 7 | 7% |
Other | 12 | 12% |
Unknown | 9 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 58% |
Environmental Science | 12 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Medicine and Dentistry | 2 | 2% |
Social Sciences | 2 | 2% |
Other | 4 | 4% |
Unknown | 16 | 16% |