Literature DB >> 26334612

Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq.

Yan Peng1, Yuanyi Hu2, Bigang Mao3, Haitao Xiang4, Ye Shao3, Yinlin Pan5, Xiabing Sheng3, Yaokui Li3, Xuemei Ni4, Yumei Xia3, Gengyun Zhang4, Longping Yuan3, Zhiwu Quan6, Bingran Zhao7.   

Abstract

The future of rice breeding will likely be built on the basis of the further utilization of heterosis between elite cultivars and genetic resources from distant subspecies of rice. Previous studies have proved that exogenous genomic DNA transformation methods can be used to transfer genetic information from distant relatives (donor) into cultivated rice (recipient). However, the mechanism underlying this form of genetic transfer is poorly characterized, and the genes that cause the phenotypic changes in these variants are typically difficult to identify. This study examined YVB, a stable variant line with greatly improved grain quality traits that was derived from an indica variety (V20B) by transferring genomic DNA of O.minuta through the "spike-stalk injection method (SIM)". We used restriction-site associated DNA sequencing technology (RAD-seq) to evaluate a population of BC1F5 backcross lines (YVB × V20B); the RAD-seq data were used to construct a genetic linkage map with high-density SNPs for use in association analysis exploring genotype-phenotype relationships at the whole-genome level. A total of 17 quantitative trait loci (QTLs) for rice quality traits were mapped to chromosomes 3, 5, 6, 8, and 9. 8 major QTLs controlling different phenotypic variations were mapped to the same region of chromosome 5. This region contained the GS5 gene for grain weight and the qSW5/GW5 gene for grain width. This study provides new resources and insights into the molecular mechanisms of grain trait phenotypic variation and the transmission of genetic information via the introduction of genomic DNA to a distantly related crop relative species.

Entities:  

Keywords:  Genomic DNA transformation; QTL mapping; RAD-seq; Rice quality traits; Wild rice

Mesh:

Year:  2015        PMID: 26334612     DOI: 10.1007/s00438-015-1104-9

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  20 in total

1.  SOAP2: an improved ultrafast tool for short read alignment.

Authors:  Ruiqiang Li; Chang Yu; Yingrui Li; Tak-Wah Lam; Siu-Ming Yiu; Karsten Kristiansen; Jun Wang
Journal:  Bioinformatics       Date:  2009-06-03       Impact factor: 6.937

2.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

3.  Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight.

Authors:  Jianfeng Weng; Suhai Gu; Xiangyuan Wan; He Gao; Tao Guo; Ning Su; Cailin Lei; Xin Zhang; Zhijun Cheng; Xiuping Guo; Jiulin Wang; Ling Jiang; Huqu Zhai; Jianmin Wan
Journal:  Cell Res       Date:  2008-12       Impact factor: 25.617

Review 4.  Genome-wide genetic marker discovery and genotyping using next-generation sequencing.

Authors:  John W Davey; Paul A Hohenlohe; Paul D Etter; Jason Q Boone; Julian M Catchen; Mark L Blaxter
Journal:  Nat Rev Genet       Date:  2011-06-17       Impact factor: 53.242

5.  Deep re-sequencing of a widely used maintainer line of hybrid rice for discovery of DNA polymorphisms and evaluation of genetic diversity.

Authors:  Yuanyi Hu; Bigang Mao; Yan Peng; Yidan Sun; Yinlin Pan; Yumei Xia; Xiabing Sheng; Yaokui Li; Li Tang; Longping Yuan; Bingran Zhao
Journal:  Mol Genet Genomics       Date:  2014-01-12       Impact factor: 3.291

6.  Analysis of the genetic behavior of some starch properties in indica rice ( Oryza sativa L.): thermal properties, gel texture, swelling volume.

Authors:  J. S. Bao; M. Sun; H. Corke
Journal:  Theor Appl Genet       Date:  2002-02       Impact factor: 5.699

7.  Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; K R Trijatmiko; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

8.  Use of asymmetric somatic hybridization for transfer of the bacterial blight resistance trait from Oryza meyeriana L. to O. sativa L. ssp. japonica.

Authors:  C-Q Yan; K-X Qian; Q-S Yan; X-Q Zhang; G-P Xue; W-G Huangfu; Y-F Wu; Y-Z Zhao; Z-Y Xue; J Huang; G-Z Xu; P Wu
Journal:  Plant Cell Rep       Date:  2003-11-01       Impact factor: 4.570

9.  QTL mapping of grain quality traits from the interspecific cross Oryza sativa x O. glaberrima.

Authors:  G Aluko; C Martinez; J Tohme; C Castano; C Bergman; J H Oard
Journal:  Theor Appl Genet       Date:  2004-04-23       Impact factor: 5.699

10.  Rapid SNP discovery and genetic mapping using sequenced RAD markers.

Authors:  Nathan A Baird; Paul D Etter; Tressa S Atwood; Mark C Currey; Anthony L Shiver; Zachary A Lewis; Eric U Selker; William A Cresko; Eric A Johnson
Journal:  PLoS One       Date:  2008-10-13       Impact factor: 3.240

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  14 in total

Review 1.  Microbial-assisted and genomic-assisted breeding: a two way approach for the improvement of nutritional quality traits in agricultural crops.

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Journal:  3 Biotech       Date:  2019-11-26       Impact factor: 2.406

2.  Detecting the QTL-allele system conferring flowering date in a nested association mapping population of soybean using a novel procedure.

Authors:  Shuguang Li; Yongce Cao; Jianbo He; Tuanjie Zhao; Junyi Gai
Journal:  Theor Appl Genet       Date:  2017-08-10       Impact factor: 5.699

Review 3.  Rice grain nutritional traits and their enhancement using relevant genes and QTLs through advanced approaches.

Authors:  Anumalla Mahender; Annamalai Anandan; Sharat Kumar Pradhan; Elssa Pandit
Journal:  Springerplus       Date:  2016-12-09

4.  Genetic mapping of yield traits using RIL population derived from Fuchuan Dahuasheng and ICG6375 of peanut (Arachis hypogaea L.).

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Journal:  Mol Breed       Date:  2017-01-30       Impact factor: 2.589

Review 5.  Insight into MAS: A Molecular Tool for Development of Stress Resistant and Quality of Rice through Gene Stacking.

Authors:  Gitishree Das; Jayanta Kumar Patra; Kwang-Hyun Baek
Journal:  Front Plant Sci       Date:  2017-06-13       Impact factor: 5.753

6.  Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.

Authors:  Zhandong Cai; Yanbo Cheng; Peiqi Xian; Qibin Ma; Ke Wen; Qiuju Xia; Gengyun Zhang; Hai Nian
Journal:  Theor Appl Genet       Date:  2018-05-12       Impact factor: 5.699

7.  Dissection of the Genetic Basis of Yield-Related Traits in the Chinese Peanut Mini-Core Collection Through Genome-Wide Association Studies.

Authors:  Xiaojing Zhou; Jianbin Guo; Manish K Pandey; Rajeev K Varshney; Li Huang; Huaiyong Luo; Nian Liu; Weigang Chen; Yong Lei; Boshou Liao; Huifang Jiang
Journal:  Front Plant Sci       Date:  2021-05-20       Impact factor: 5.753

8.  Identification of candidate genes for gelatinization temperature, gel consistency and pericarp color by GWAS in rice based on SLAF-sequencing.

Authors:  Xinghai Yang; Xiuzhong Xia; Yu Zeng; Baoxuan Nong; Zongqiong Zhang; Yanyan Wu; Faqian Xiong; Yuexiong Zhang; Haifu Liang; Guofu Deng; Danting Li
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

9.  Development of a High-Density Genetic Map Based on Specific Length Amplified Fragment Sequencing and Its Application in Quantitative Trait Loci Analysis for Yield-Related Traits in Cultivated Peanut.

Authors:  Zhihui Wang; Dongxin Huai; Zhaohua Zhang; Ke Cheng; Yanping Kang; Liyun Wan; Liying Yan; Huifang Jiang; Yong Lei; Boshou Liao
Journal:  Front Plant Sci       Date:  2018-06-26       Impact factor: 5.753

10.  Fine-mapping of QTLs for individual and total isoflavone content in soybean (Glycine max L.) using a high-density genetic map.

Authors:  Zhandong Cai; Yanbo Cheng; Zhuwen Ma; Xinguo Liu; Qibin Ma; Qiuju Xia; Gengyun Zhang; Yinghui Mu; Hai Nian
Journal:  Theor Appl Genet       Date:  2017-11-20       Impact factor: 5.699

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