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Attention Score in Context
| Title |
Genome-wide linkage mapping of flour color-related traits and polyphenol oxidase activity in common wheat
|
|---|---|
| Published in |
Theoretical and Applied Genetics, November 2015
|
| DOI | 10.1007/s00122-015-2634-6 |
| Pubmed ID | |
| Authors |
Shengnan Zhai, Zhonghu He, Weie Wen, Hui Jin, Jindong Liu, Yong Zhang, Zhiyong Liu, Xianchun Xia |
| Abstract |
Fifty-six QTL for flour color-related traits and polyphenol oxidase activity were identified using a genome-wide linkage mapping of data from a RIL population derived from a Gaocheng 8901/Zhoumai 16 cross. Flour color-related traits, including L*, a*, b*, yellow pigment content (YPC), and polyphenol oxidase (PPO) activity are important parameters influencing the quality of wheat end-use products. Mapping quantitative trait loci (QTL) for these traits and characterization of candidate genes are important for improving wheat quality. The aims of this study were to identify QTL for flour color-related traits and PPO activity and to characterize candidate genes using a high-density genetic linkage map in a common wheat recombinant inbred line (RIL) population derived from a cross between Gaocheng 8901 and Zhoumai 16. A linkage map was constructed by genotyping the RILs with the wheat 90 K iSelect array. Fifty-six QTL were mapped on 35 chromosome regions on homoeologous groups 1, 2, 5 and 7 chromosomes, and chromosomes 3B, 4A, 4B and 6B. Four QTL were for PPO activity, and the others were for flour color-related traits. Compared with previous studies, five QTL for a*, two for b*, one for L*, one for YPC and one for PPO activity were new. The new QTL on chromosome 2DL was involved in both a* and YPC, and another on chromosome 7DS affected both a* and L*. The scan for SNP sequences tightly linked to QTL for flour color-related traits against the wheat and/or related cereals genomes identified six candidate genes significantly related to these traits, and five of them were associated with the terpenoid backbone biosynthesis pathway. The high-density genetic linkage map of Gaocheng 8901/Zhoumai 16 represents a useful tool to identify QTL for important quality traits and candidate genes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 4 | 14% |
| Other | 2 | 7% |
| Lecturer | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 59% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unspecified | 1 | 3% |
| Computer Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 28% |
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 10 June 2016.
All research outputs
#21,141,111
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,320
of 3,565 outputs
Outputs of similar age
#328,243
of 390,842 outputs
Outputs of similar age from Theoretical and Applied Genetics
#21
of 24 outputs
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