| Title |
Genome-wide association study reveals candidate genes related to low temperature tolerance in rice (Oryza sativa) during germination
|
|---|---|
| Published in |
3 Biotech, April 2018
|
| DOI | 10.1007/s13205-018-1252-9 |
| Pubmed ID | |
| Authors |
Heng Wang, Ah-Rim Lee, So-Yeon Park, Sang-Hyeon Jin, Joohyun Lee, Tae-Ho Ham, Yongjin Park, Wei-Guo Zhao, Soon-Wook Kwon |
| Abstract |
In this study, relative germination percentage (RGP) and delayed mean germination time (DMGT) were measured in various rice accessions at the germination stage and carried out association analysis to identify candidate genes related to low temperature germination (LTG) using a natural population comprising 137 rice cultivars and inbred lines selected from the Korean rice core set. Genome-wide association study using ~ 1.44 million high-quality SNPs, which were identified by re-sequencing all rice collections, revealed 48 candidate genes on chromosome 10 and 55 candidate genes on chromosome 11 in the high peak SNP sites of associated loci for RGP and DMGT, respectively. By detecting highly associated variations located inside genic regions and performing functional annotation of the genes, we detected 23 candidate genes for RGP and 18 genes for DMGT for LTG. In addition, the haplotype and sequence analysis of the candidate gene (Os10g0371100) with RGP trait and the candidate gene (Os11t0104240-00) with DMGT revealed correlation between sequences of functional variations and phenotypes. Several novel LTG-related candidate genes previously were known for the function during rice germination and uncovered their substantial natural variations. These candidate genes represent valuable resources for molecular breeding and genetic improvement of cold tolerance during rice germination. |
X Demographics
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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Researcher | 3 | 16% |
| Student > Master | 3 | 16% |
| Professor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 26% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Computer Science | 2 | 11% |
| Business, Management and Accounting | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 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 07 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from 3 Biotech
#647
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Outputs of similar age
#252,371
of 325,398 outputs
Outputs of similar age from 3 Biotech
#24
of 40 outputs
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