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Attention Score in Context
| Title |
Identification of favorable SNP alleles and candidate genes for traits related to early maturity via GWAS in upland cotton
|
|---|---|
| Published in |
BMC Genomics, August 2016
|
| DOI | 10.1186/s12864-016-2875-z |
| Pubmed ID | |
| Authors |
Junji Su, Chaoyou Pang, Hengling Wei, Libei Li, Bing Liang, Caixiang Wang, Meizhen Song, Hantao Wang, Shuqi Zhao, Xiaoyun Jia, Guangzhi Mao, Long Huang, Dandan Geng, Chengshe Wang, Shuli Fan, Shuxun Yu |
| Abstract |
Early maturity is one of the most important and complex agronomic traits in upland cotton (Gossypium hirsutum L). To dissect the genetic architecture of this agronomically important trait, a population consisting of 355 upland cotton germplasm accessions was genotyped using the specific-locus amplified fragment sequencing (SLAF-seq) approach, of which a subset of 185 lines representative of the diversity among the accessions was phenotypically characterized for six early maturity traits in four environments. A genome-wide association study (GWAS) was conducted using the generalized linear model (GLM) and mixed linear model (MLM). A total of 81,675 SNPs in 355 upland cotton accessions were discovered using SLAF-seq and were subsequently used in GWAS. Thirteen significant associations between eight SNP loci and five early maturity traits were successfully identified using the GLM and MLM; two of the 13 associations were common between the models. By computing phenotypic effect values for the associations detected at each locus, 11 highly favorable SNP alleles were identified for five early maturity traits. Moreover, dosage pyramiding effects of the highly favorable SNP alleles and significant linear correlations between the numbers of highly favorable alleles and the phenotypic values of the target traits were identified. Most importantly, a major locus (rs13562854) on chromosome Dt3 and a potential candidate gene (CotAD_01947) for early maturity were detected. This study identified highly favorable SNP alleles and candidate genes associated with early maturity traits in upland cotton. The results demonstrate that GWAS is a powerful tool for dissecting complex traits and identifying candidate genes. The highly favorable SNP alleles and candidate genes for early maturity traits identified in this study should be show high potential for improvement of early maturity in future cotton breeding programs. |
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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 31% |
| Student > Master | 9 | 17% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 4 | 8% |
| Professor > Associate Professor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 52% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Environmental Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 27% |
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 01 September 2016.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from BMC Genomics
#9,293
of 10,668 outputs
Outputs of similar age
#293,961
of 336,882 outputs
Outputs of similar age from BMC Genomics
#242
of 280 outputs
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So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.