| Title |
A reference genome for Nicotiana tabacum enables map-based cloning of homeologous loci implicated in nitrogen utilization efficiency
|
|---|---|
| Published in |
BMC Genomics, June 2017
|
| DOI | 10.1186/s12864-017-3791-6 |
| Pubmed ID | |
| Authors |
K. D. Edwards, N. Fernandez-Pozo, K. Drake-Stowe, M. Humphry, A. D. Evans, A. Bombarely, F. Allen, R. Hurst, B. White, S. P. Kernodle, J. R. Bromley, J. P. Sanchez-Tamburrino, R. S. Lewis, L. A. Mueller |
| Abstract |
Tobacco (Nicotiana tabacum) is an important plant model system that has played a key role in the early development of molecular plant biology. The tobacco genome is large and its characterisation challenging because it is an allotetraploid, likely arising from hybridisation between diploid N. sylvestris and N. tomentosiformis ancestors. A draft assembly was recently published for N. tabacum, but because of the aforementioned genome complexities it was of limited utility due to a high level of fragmentation. Here we report an improved tobacco genome assembly, which, aided by the application of optical mapping, achieves an N50 size of 2.17 Mb and enables anchoring of 64% of the genome to pseudomolecules; a significant increase from the previous value of 19%. We use this assembly to identify two homeologous genes that explain the differentiation of the burley tobacco market class, with potential for greater understanding of Nitrogen Utilization Efficiency and Nitrogen Use Efficiency in plants; an important trait for future sustainability of agricultural production. Development of an improved genome assembly for N. tabacum enables what we believe to be the first successful map-based gene discovery for the species, and demonstrates the value of an improved assembly for future research in this model and commercially-important species. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 9 | 41% |
| United Kingdom | 3 | 14% |
| Netherlands | 1 | 5% |
| Japan | 1 | 5% |
| Ireland | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 77% |
| Scientists | 5 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 19% |
| Student > Ph. D. Student | 34 | 18% |
| Student > Master | 30 | 15% |
| Student > Bachelor | 15 | 8% |
| Student > Doctoral Student | 8 | 4% |
| Other | 24 | 12% |
| Unknown | 47 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 43% |
| Biochemistry, Genetics and Molecular Biology | 43 | 22% |
| Nursing and Health Professions | 2 | 1% |
| Economics, Econometrics and Finance | 2 | 1% |
| Chemistry | 2 | 1% |
| Other | 8 | 4% |
| Unknown | 53 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. 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 28 February 2023.
All research outputs
#456,698
of 25,374,917 outputs
Outputs from BMC Genomics
#36
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Outputs of similar age
#9,753
of 329,760 outputs
Outputs of similar age from BMC Genomics
#1
of 204 outputs
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