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Mendeley readers
Attention Score in Context
| Title |
TaGW2, a Good Reflection of Wheat Polyploidization and Evolution
|
|---|---|
| Published in |
Frontiers in Plant Science, March 2017
|
| DOI | 10.3389/fpls.2017.00318 |
| Pubmed ID | |
| Authors |
Lin Qin, Junjie Zhao, Tian Li, Jian Hou, Xueyong Zhang, Chenyang Hao |
| Abstract |
Hexaploid wheat consists of three subgenomes, namely, A, B, and D. These well-characterized ancestral genomes also exist at the diploid and tetraploid levels, thereby rendering wheat as a good model species for studying polyploidization. Here, we performed intra- and inter-species comparative analyses of wheat and its relatives to dissect polymorphism and differentiation of the TaGW2 genes. Our results showed that genetic diversity of TaGW2 decreased with progression from the diploids to tetraploids and hexaploids. The strongest selection occurred in the promoter regions of TaGW2-6A and TaGW2-6B. Phylogenetic trees clearly indicated that Triticum urartu and Ae. speltoides were the donors of the A and B genomes in tetraploid and hexaploid wheats. Haplotypes detected among hexaploid genotypes traced back to the tetraploid level. Fst and π values revealed that the strongest selection on TaGW2 occurred at the tetraploid level rather than in hexaploid wheat. This infers that grain size enlargement, especially increased kernel width, mainly occurred in tetraploid genotypes. In addition, relative expression levels of TaGW2s significantly declined from the diploid level to tetraploids and hexaploids, further indicating that these genes negatively regulate kernel size. Our results also revealed that the polyploidization events possibly caused much stronger differentiation than domestication and breeding. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 23% |
| Researcher | 8 | 23% |
| Student > Bachelor | 3 | 9% |
| Professor | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 46% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Engineering | 1 | 3% |
| Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Frontiers in Plant Science
#16,284
of 20,389 outputs
Outputs of similar age
#268,325
of 307,980 outputs
Outputs of similar age from Frontiers in Plant Science
#415
of 520 outputs
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So far Altmetric has tracked 20,389 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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