| Title |
A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.)
|
|---|---|
| Published in |
Planta, October 2015
|
| DOI | 10.1007/s00425-015-2419-9 |
| Pubmed ID | |
| Authors |
Yijun Wang, Jing Xu, Dexiang Deng, Haidong Ding, Yunlong Bian, Zhitong Yin, Yarong Wu, Bo Zhou, Ye Zhao |
| Abstract |
The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops. |
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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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| France | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Master | 12 | 20% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Bachelor | 5 | 8% |
| Other | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 63% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Environmental Science | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 12 | 20% |
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 18 October 2015.
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#18,429,163
of 22,830,751 outputs
Outputs from Planta
#2,153
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Outputs of similar age
#201,437
of 280,050 outputs
Outputs of similar age from Planta
#17
of 24 outputs
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