Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study
Abstract Background Rice tiller number (TN) is one of the most important components associated with rice grain yield. Around one hundred rice TN genes have been identified, but dissecting the genetic architecture of rice TN variations remains difficult because of its complex trait and control by bot...
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doaj-0b0c6e936e134ba9adec1632db8f546e2020-11-25T03:20:06ZengSpringerOpenRice1939-84251939-84332019-06-0112111110.1186/s12284-019-0302-1Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association StudySu Jiang0Dan Wang1Shuangyong Yan2Shiming Liu3Bin Liu4Houxiang Kang5Guo-Liang Wang6College of Agronomy, Hunan Agricultural UniversityCollege of Agronomy, Hunan Agricultural UniversityTian Jin Key Laboratory of crop genetic breeding, Tianjin Crop Research Institute, Tianjin Academy of Agriculture SciencesState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural SciencesGuangdong Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural SciencesState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural SciencesState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural SciencesAbstract Background Rice tiller number (TN) is one of the most important components associated with rice grain yield. Around one hundred rice TN genes have been identified, but dissecting the genetic architecture of rice TN variations remains difficult because of its complex trait and control by both major genes and quantitative trait loci (QTLs). Results In this study, we used a subset of the rice diversity population II (S-RDP-II), genotyped with 700,000 single nucleotide polymorphisms (SNPs), to identify the loci associated with tiller number variations (LATNs) through a genome-wide association study (GWAS). The analysis revealed that 23 LATNs are significantly associated with TN variations. Among the 23 LATNs, eight are co-localized with previously cloned TN genes, and the remaining 15 LATNs are novel. DNA sequence analysis of the 15 novel LATNs led to the identification of five candidate genes using the accessions with extreme TN phenotypes. Genetic variations in two of the genes are mainly located in the promoter regions. qRT-PCR analysis showed that the expression levels of these two genes are also closely associated with TN variations. Conclusions We identified 15 novel LATNs that contribute significantly to the genetic variation of rice TN. Of these 15, the five identified TN-associated candidate genes will enhance our understanding of rice tillering and can be used as molecular markers for improving rice yield.http://link.springer.com/article/10.1186/s12284-019-0302-1RiceTiller numberGenome wide association studyGenetic architectureSingle nucleotide polymorphismLinkage disequilibrium |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Su Jiang Dan Wang Shuangyong Yan Shiming Liu Bin Liu Houxiang Kang Guo-Liang Wang |
spellingShingle |
Su Jiang Dan Wang Shuangyong Yan Shiming Liu Bin Liu Houxiang Kang Guo-Liang Wang Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study Rice Rice Tiller number Genome wide association study Genetic architecture Single nucleotide polymorphism Linkage disequilibrium |
author_facet |
Su Jiang Dan Wang Shuangyong Yan Shiming Liu Bin Liu Houxiang Kang Guo-Liang Wang |
author_sort |
Su Jiang |
title |
Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study |
title_short |
Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study |
title_full |
Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study |
title_fullStr |
Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study |
title_full_unstemmed |
Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study |
title_sort |
dissection of the genetic architecture of rice tillering using a genome-wide association study |
publisher |
SpringerOpen |
series |
Rice |
issn |
1939-8425 1939-8433 |
publishDate |
2019-06-01 |
description |
Abstract Background Rice tiller number (TN) is one of the most important components associated with rice grain yield. Around one hundred rice TN genes have been identified, but dissecting the genetic architecture of rice TN variations remains difficult because of its complex trait and control by both major genes and quantitative trait loci (QTLs). Results In this study, we used a subset of the rice diversity population II (S-RDP-II), genotyped with 700,000 single nucleotide polymorphisms (SNPs), to identify the loci associated with tiller number variations (LATNs) through a genome-wide association study (GWAS). The analysis revealed that 23 LATNs are significantly associated with TN variations. Among the 23 LATNs, eight are co-localized with previously cloned TN genes, and the remaining 15 LATNs are novel. DNA sequence analysis of the 15 novel LATNs led to the identification of five candidate genes using the accessions with extreme TN phenotypes. Genetic variations in two of the genes are mainly located in the promoter regions. qRT-PCR analysis showed that the expression levels of these two genes are also closely associated with TN variations. Conclusions We identified 15 novel LATNs that contribute significantly to the genetic variation of rice TN. Of these 15, the five identified TN-associated candidate genes will enhance our understanding of rice tillering and can be used as molecular markers for improving rice yield. |
topic |
Rice Tiller number Genome wide association study Genetic architecture Single nucleotide polymorphism Linkage disequilibrium |
url |
http://link.springer.com/article/10.1186/s12284-019-0302-1 |
work_keys_str_mv |
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