Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci
Abstract Background Two of the most widely cultivated rice strains are Oryza sativa indica and O. sativa japonica, and understanding the genetic basis of their agronomic traits is of importance for crop production. These two species are highly distinct in terms of geographical distribution and morph...
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doaj-4426b62faf914c8ea3502a206b57d4572020-11-24T20:50:49ZengBMCBMC Biology1741-70072018-09-0116111210.1186/s12915-018-0572-xGenome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated lociXiukun Li0Lian Wu1Jiahong Wang2Jian Sun3Xiuhong Xia4Xin Geng5Xuhong Wang6Zhengjin Xu7Quan Xu8Rice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityBiomarker Technologies CorporationRice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityRice Research Institute of Shenyang Agricultural UniversityAbstract Background Two of the most widely cultivated rice strains are Oryza sativa indica and O. sativa japonica, and understanding the genetic basis of their agronomic traits is of importance for crop production. These two species are highly distinct in terms of geographical distribution and morphological traits. However, the relationship among genetic background, ecological conditions, and agronomic traits is unclear. Results In this study, we performed the de novo assembly of a high-quality genome of SN265, a cultivar that is extensively cultivated as a backbone japonica parent in northern China, using single-molecule sequencing. Recombinant inbred lines (RILs) derived from a cross between SN265 and R99 (indica) were re-sequenced and cultivated in three distinct ecological conditions. We identify 79 QTLs related to 15 agronomic traits. We found that several genes underwent functional alterations when the ecological conditions were changed, and some alleles exhibited contracted responses to different genetic backgrounds. We validated the involvement of one candidate gene, DEP1, in determining panicle length, using CRISPR/Cas9 gene editing. Conclusions This study provides information on the suitable environmental conditions, and genetic background, for functional genes in rice breeding. Moreover, the public availability of the reference genome of northern japonica SN265 provides a valuable resource for plant biologists and the genetic improvement of crops.http://link.springer.com/article/10.1186/s12915-018-0572-xOryza sativaDe novo assemblyQTL dissectionYield and quality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiukun Li Lian Wu Jiahong Wang Jian Sun Xiuhong Xia Xin Geng Xuhong Wang Zhengjin Xu Quan Xu |
spellingShingle |
Xiukun Li Lian Wu Jiahong Wang Jian Sun Xiuhong Xia Xin Geng Xuhong Wang Zhengjin Xu Quan Xu Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci BMC Biology Oryza sativa De novo assembly QTL dissection Yield and quality |
author_facet |
Xiukun Li Lian Wu Jiahong Wang Jian Sun Xiuhong Xia Xin Geng Xuhong Wang Zhengjin Xu Quan Xu |
author_sort |
Xiukun Li |
title |
Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
title_short |
Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
title_full |
Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
title_fullStr |
Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
title_full_unstemmed |
Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
title_sort |
genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci |
publisher |
BMC |
series |
BMC Biology |
issn |
1741-7007 |
publishDate |
2018-09-01 |
description |
Abstract Background Two of the most widely cultivated rice strains are Oryza sativa indica and O. sativa japonica, and understanding the genetic basis of their agronomic traits is of importance for crop production. These two species are highly distinct in terms of geographical distribution and morphological traits. However, the relationship among genetic background, ecological conditions, and agronomic traits is unclear. Results In this study, we performed the de novo assembly of a high-quality genome of SN265, a cultivar that is extensively cultivated as a backbone japonica parent in northern China, using single-molecule sequencing. Recombinant inbred lines (RILs) derived from a cross between SN265 and R99 (indica) were re-sequenced and cultivated in three distinct ecological conditions. We identify 79 QTLs related to 15 agronomic traits. We found that several genes underwent functional alterations when the ecological conditions were changed, and some alleles exhibited contracted responses to different genetic backgrounds. We validated the involvement of one candidate gene, DEP1, in determining panicle length, using CRISPR/Cas9 gene editing. Conclusions This study provides information on the suitable environmental conditions, and genetic background, for functional genes in rice breeding. Moreover, the public availability of the reference genome of northern japonica SN265 provides a valuable resource for plant biologists and the genetic improvement of crops. |
topic |
Oryza sativa De novo assembly QTL dissection Yield and quality |
url |
http://link.springer.com/article/10.1186/s12915-018-0572-x |
work_keys_str_mv |
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