Title |
A catalogue of putative unique transcripts from Douglas-fir (Pseudotsuga menziesii) based on 454 transcriptome sequencing of genetically diverse, drought stressed seedlings
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Published in |
BMC Genomics, November 2012
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DOI | 10.1186/1471-2164-13-673 |
Pubmed ID | |
Authors |
Thomas Müller, Ingo Ensminger, Karl J Schmid |
Abstract |
Douglas-fir (Pseudotsuga menziesii) extends over a wide range of contrasting environmental conditions, reflecting substantial local adaptation. For this reason, it is an interesting model species to study plant adaptation and the effects of global climate change such as increased temperatures and significant periods of drought on individual trees and the forest landscape in general. However, genomic data and tools for studying genetic variation in natural populations to understand the genetic and physiological mechanisms of adaptation are currently missing for Douglas-fir. This study represents a first step towards characterizing the Douglas-fir transcriptome based on 454 sequencing of twelve cDNA libraries. The libraries were constructed from needle and wood tissue of coastal and interior provenances subjected to drought stress experiments. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 2 | 2% |
France | 1 | 1% |
Norway | 1 | 1% |
Austria | 1 | 1% |
Brazil | 1 | 1% |
United States | 1 | 1% |
Unknown | 78 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 26 | 31% |
Student > Ph. D. Student | 19 | 22% |
Student > Master | 8 | 9% |
Student > Bachelor | 6 | 7% |
Professor | 3 | 4% |
Other | 9 | 11% |
Unknown | 14 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 46 | 54% |
Biochemistry, Genetics and Molecular Biology | 8 | 9% |
Environmental Science | 4 | 5% |
Computer Science | 3 | 4% |
Engineering | 2 | 2% |
Other | 6 | 7% |
Unknown | 16 | 19% |