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Attention Score in Context
| Title |
Transcriptome analyses of seed development in grape hybrids reveals a possible mechanism influencing seed size
|
|---|---|
| Published in |
BMC Genomics, November 2016
|
| DOI | 10.1186/s12864-016-3193-1 |
| Pubmed ID | |
| Authors |
Li Wang, Xiaoyan Hu, Chen Jiao, Zhi Li, Zhangjun Fei, Xiaoxiao Yan, Chonghuai Liu, Yuejin Wang, Xiping Wang |
| Abstract |
Seedlessness in grape (Vitis vinifera) is of considerable commercial importance for both the table grape and processing industries. Studies to date of grape seed development have been made certain progress, but many key genes have yet to be identified and characterized. In this study we analyzed the seed transcriptomes of progeny derived from the V. vinifera seeded maternal parent 'Red Globe' and the seedless paternal parent 'Centennial seedless' to identify genes associated with seedlessness. A total of 6,607 differentially expressed genes (DEGs) were identified and examined from multiple perspectives, including expression patterns, Gene Ontology (GO) annotations, pathway enrichment, inferred hormone influence and epigenetic regulation. The expression data of hormone-related genes and hormone level measurement reveals the differences during seed development between seedless and seeded progeny. Based on both our results and previous studies of A. thaliana seed development, we generated network maps of grape seed-related DEGs, with particular reference to hormone balance, seed coat and endosperm development, and seed identity complexes. In summary, the major differences identified during seed development of seedless and seeded progeny were associated with hormone and epigenetic regulation, the development of the seed coat and endosperm, and the formation of seed identity complexes. Overall the data provides insights into the possible molecular mechanism controlling grape seed size, which is of great importance for both basic research and future translation applications in the grape industry. |
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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 25 | 34% |
| Student > Bachelor | 9 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 7 | 10% |
| Student > Master | 5 | 7% |
| Other | 5 | 7% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 38% |
| Biochemistry, Genetics and Molecular Biology | 23 | 32% |
| Engineering | 2 | 3% |
| Social Sciences | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 16 | 22% |
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 09 February 2017.
All research outputs
#14,869,124
of 22,899,952 outputs
Outputs from BMC Genomics
#6,153
of 10,674 outputs
Outputs of similar age
#188,250
of 313,008 outputs
Outputs of similar age from BMC Genomics
#110
of 225 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,674 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 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.