| Title |
Deep Sequencing of RNA from Ancient Maize Kernels
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0050961 |
| Pubmed ID | |
| Authors |
Sarah L. Fordyce, Maria C. Ávila-Arcos, Morten Rasmussen, Enrico Cappellini, J. Alberto Romero-Navarro, Nathan Wales, David E. Alquezar-Planas, Steven Penfield, Terence A. Brown, Jean-Philippe Vielle-Calzada, Rafael Montiel, Tina Jørgensen, Nancy Odegaard, Michael Jacobs, Bernardo Arriaza, Thomas F. G. Higham, Christopher Bronk Ramsey, Eske Willerslev, M. Thomas P. Gilbert |
| Abstract |
The characterization of biomolecules from ancient samples can shed otherwise unobtainable insights into the past. Despite the fundamental role of transcriptomal change in evolution, the potential of ancient RNA remains unexploited - perhaps due to dogma associated with the fragility of RNA. We hypothesize that seeds offer a plausible refuge for long-term RNA survival, due to the fundamental role of RNA during seed germination. Using RNA-Seq on cDNA synthesized from nucleic acid extracts, we validate this hypothesis through demonstration of partial transcriptomal recovery from two sources of ancient maize kernels. The results suggest that ancient seed transcriptomics may offer a powerful new tool with which to study plant domestication. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| France | 2 | 18% |
| Mexico | 2 | 18% |
| United Kingdom | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Uruguay | 1 | <1% |
| Germany | 1 | <1% |
| Peru | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 113 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 24% |
| Student > Ph. D. Student | 27 | 22% |
| Student > Master | 7 | 6% |
| Other | 6 | 5% |
| Professor | 6 | 5% |
| Other | 18 | 15% |
| Unknown | 30 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 46% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Environmental Science | 6 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Arts and Humanities | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 29 | 24% |