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Attention Score in Context
| Title |
A tripartite approach identifies the major sunflower seed albumins
|
|---|---|
| Published in |
Theoretical and Applied Genetics, January 2016
|
| DOI | 10.1007/s00122-015-2653-3 |
| Pubmed ID | |
| Authors |
Achala S. Jayasena, Bastian Franke, Johan Rosengren, Joshua S. Mylne |
| Abstract |
We have used a combination of genomic, transcriptomic, and proteomic approaches to identify the napin-type albumin genes in sunflower and define their contributions to the seed albumin pool. Seed protein content is determined by the expression of what are typically large gene families. A major class of seed storage proteins is the napin-type, water soluble albumins. In this work we provide a comprehensive analysis of the napin-type albumin content of the common sunflower (Helianthus annuus) by analyzing a draft genome, a transcriptome and performing a proteomic analysis of the seed albumin fraction. We show that although sunflower contains at least 26 genes for napin-type albumins, only 15 of these are present at the mRNA level. We found protein evidence for 11 of these but the albumin content of mature seeds is dominated by the encoded products of just three genes. So despite high genetic redundancy for albumins, only a small sub-set of this gene family contributes to total seed albumin content. The three genes identified as producing the majority of sunflower seed albumin are potential future candidates for manipulation through genetics and breeding. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 42% |
| Other | 6 | 13% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Student > Master | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 36% |
| Agricultural and Biological Sciences | 8 | 18% |
| Chemistry | 5 | 11% |
| Computer Science | 2 | 4% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 29% |
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 18 January 2016.
All research outputs
#14,873,797
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#2,756
of 3,565 outputs
Outputs of similar age
#212,189
of 399,730 outputs
Outputs of similar age from Theoretical and Applied Genetics
#19
of 47 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.