| Title |
A catalogue of putative unique transcripts from Douglas-fir (Pseudotsuga menziesii) based on 454 transcriptome sequencing of genetically diverse, drought stressed seedlings
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| 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
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| 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 % |
|---|---|---|
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2012.
All research outputs
#13,675,566
of 22,687,320 outputs
Outputs from BMC Genomics
#5,264
of 10,617 outputs
Outputs of similar age
#160,143
of 277,211 outputs
Outputs of similar age from BMC Genomics
#195
of 372 outputs
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