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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cloning and Characterization of TaTGW-7A Gene Associated with Grain Weight in Wheat via SLAF-seq-BSA
|
|---|---|
| Published in |
Frontiers in Plant Science, December 2016
|
| DOI | 10.3389/fpls.2016.01902 |
| Pubmed ID | |
| Authors |
Ming-Jian Hu, Hai-Ping Zhang, Kai Liu, Jia-Jia Cao, Sheng-Xing Wang, Hao Jiang, Zeng-Yun Wu, Jie Lu, Xiao F. Zhu, Xian-Chun Xia, Gen-Lou Sun, Chuan-Xi Ma, Cheng Chang |
| Abstract |
Thousand-grain weight (TGW) of wheat (Triticum aestivum L.) contributes significantly to grain yield. In the present study, a candidate gene associated with TGW was identified through specific-locus amplified fragment sequencing (SLAF-seq) of DNA bulks of recombinant inbred lines (RIL) derived from the cross between Jing 411 and Hongmangchun 21. The gene was located on chromosome 7A, designated as TaTGW-7A with a complete genome sequence and an open reading frame (ORF). A single nucleotide polymorphism (SNP) was present in the first exon between two alleles at TaTGW-7A locus, resulting in a Val to Ala substitution, corresponding to a change from higher to lower TGW. Cleaved amplified polymorphic sequence (CAPS) (TGW7A) and InDel (TG9) markers were developed to discriminate the two alleles TaTGW-7Aa and TaTGW-7Ab for higher and lower TGW, respectively. A major QTL co-segregating with TaTGW-7A explained 21.7-27.1% of phenotypic variance for TGW in the RIL population across five environments. The association of TaTGW-7A with TGW was further validated in a natural population and Chinese mini-core collections. Quantitative real-time PCR revealed higher transcript levels of TaTGW-7Aa than those of TaTGW-7Ab during grain development. High frequencies of the superior allele TaTGW-7Aa for higher TGW in Chinese mini-core collections (65.0%) and 501 wheat varieties (86.0%) indicated a strong and positive selection of this allele in wheat breeding. The molecular markers TGW7A and TG9 can be used for improvement of TGW in breeding programs. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 22% |
| Researcher | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 46% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Business, Management and Accounting | 1 | 2% |
| Unspecified | 1 | 2% |
| Unknown | 15 | 37% |
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 05 January 2017.
All research outputs
#20,376,559
of 22,925,760 outputs
Outputs from Frontiers in Plant Science
#16,248
of 20,355 outputs
Outputs of similar age
#355,462
of 420,907 outputs
Outputs of similar age from Frontiers in Plant Science
#369
of 500 outputs
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So far Altmetric has tracked 20,355 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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