| Title |
Genome-wide association study of heading and flowering dates and construction of its prediction equation in Chinese common wheat
|
|---|---|
| Published in |
Theoretical and Applied Genetics, September 2018
|
| DOI | 10.1007/s00122-018-3181-8 |
| Pubmed ID | |
| Authors |
Xiangfen Zhang, Jianhui Chen, Yan Yan, Xuefang Yan, Chaonan Shi, Lei Zhao, Feng Chen |
| Abstract |
Heading date is one of the most important traits in wheat breeding as it affects adaptation and yield potential. A genome-wide association study (GWAS) using the 90 K iSelect SNP genotyping assay indicated that a total of 306 loci were significantly associated with heading and flowering dates in 13 environments in Chinese common wheat from the Yellow and Huai wheat region. Of these, 105 loci were significantly correlated with both heading and flowering dates and were found in clusters on chromosomes 2, 5, 6, and 7. Based on differences in distribution of the vernalization and photoperiod genes among chromosomes, arms, or block regions, 13 novel, environmentally stable genetic loci were associated with heading and flowering dates, including RAC875_c41145_189 on 1DS, RAC875_c50422_299 on 2BL, and RAC875_c48703_148 on 2DS, that accounted for more than 20% phenotypic variance explained (PVE) of the heading/flowering date in at least four environments. GWAS and t test of a combination of SNPs and vernalization and photoperiod alleles indicated that the Vrn-B1, Vrn-D1, and Ppd-D1 genes significantly affect heading and flowering dates in Chinese common wheat. Based on the association of heading and flowering dates with the vernalization and photoperiod alleles at seven loci and three significant SNPs, optimal linear regression equations were established, which show that of the seven loci, the Ppd-D1 gene plays the most important role in modulating heading and flowering dates in Chinese wheat, followed by Vrn-B1 and Vrn-D1. Additionally, three novel genetic loci (RAC875_c41145_189, Excalibur_c60164_137, and RAC875_c50422_299) also show important effect on heading and flowering dates. Therefore, Ppd-D1, Vrn-B1, Vrn-D1, and the novel genetic loci should be further investigated in terms of improving heading and flowering dates in Chinese wheat. Further quantitative analysis of an F10 recombinant inbred lines population identified a major QTL that controls heading and flowering dates within the Ppd-D1 locus with PVEs of 28.4% and 34.0%, respectively; this QTL was also significantly associated with spike length, peduncle length, fertile spikelets number, cold resistance, and tiller number. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 2 | 25% |
| Australia | 2 | 25% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 6 | 12% |
| Student > Master | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 53% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Mathematics | 1 | 2% |
| Chemistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 October 2018.
All research outputs
#6,390,558
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,125
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Outputs of similar age
#109,803
of 338,723 outputs
Outputs of similar age from Theoretical and Applied Genetics
#23
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