Literature DB >> 26096084

Pedigree-based analysis of derivation of genome segments of an elite rice reveals key regions during its breeding.

Degui Zhou1, Wei Chen2,3, Zechuan Lin2, Haodong Chen2,4, Chongrong Wang1, Hong Li1, Renbo Yu2,4, Fengyun Zhang5, Gang Zhen2,4, Junliang Yi5, Kanghuo Li1, Yaoguang Liu6, William Terzaghi7, Xiaoyan Tang4,8, Hang He2,4,8, Shaochuan Zhou1,5, Xing Wang Deng2,4,8.   

Abstract

Analyses of genome variations with high-throughput assays have improved our understanding of genetic basis of crop domestication and identified the selected genome regions, but little is known about that of modern breeding, which has limited the usefulness of massive elite cultivars in further breeding. Here we deploy pedigree-based analysis of an elite rice, Huanghuazhan, to exploit key genome regions during its breeding. The cultivars in the pedigree were resequenced with 7.6× depth on average, and 2.1 million high-quality single nucleotide polymorphisms (SNPs) were obtained. Tracing the derivation of genome blocks with pedigree and information on SNPs revealed the chromosomal recombination during breeding, which showed that 26.22% of Huanghuazhan genome are strictly conserved key regions. These major effect regions were further supported by a QTL mapping of 260 recombinant inbred lines derived from the cross of Huanghuazhan and a very dissimilar cultivar, Shuanggui 36, and by the genome profile of eight cultivars and 36 elite lines derived from Huanghuazhan. Hitting these regions with the cloned genes revealed they include numbers of key genes, which were then applied to demonstrate how Huanghuazhan were bred after 30 years of effort and to dissect the deficiency of artificial selection. We concluded the regions are helpful to the further breeding based on this pedigree and performing breeding by design. Our study provides genetic dissection of modern rice breeding and sheds new light on how to perform genomewide breeding by design.
© 2015 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd.

Entities:  

Keywords:  artificial selection; breeding; genetic improvement; pedigree; resequencing; single nucleotide polymorphisms

Mesh:

Year:  2015        PMID: 26096084     DOI: 10.1111/pbi.12409

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  13 in total

1.  Construction of a male sterility system for hybrid rice breeding and seed production using a nuclear male sterility gene.

Authors:  Zhenyi Chang; Zhufeng Chen; Na Wang; Gang Xie; Jiawei Lu; Wei Yan; Junli Zhou; Xiaoyan Tang; Xing Wang Deng
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-18       Impact factor: 11.205

2.  Pyramiding of nine transgenes in maize generates high-level resistance against necrotrophic maize pathogens.

Authors:  Xiang Zhu; Jinfeng Zhao; Hafiz Muhammad Khalid Abbas; Yunjun Liu; Menglan Cheng; Jue Huang; Wenjuan Cheng; Beibei Wang; Cuiying Bai; Guoying Wang; Wubei Dong
Journal:  Theor Appl Genet       Date:  2018-07-13       Impact factor: 5.699

3.  Genome-wide study of an elite rice pedigree reveals a complex history of genetic architecture for breeding improvement.

Authors:  Shaoxia Chen; Zechuan Lin; Degui Zhou; Chongrong Wang; Hong Li; Renbo Yu; Hanchao Deng; Xiaoyan Tang; Shaochuan Zhou; Xing Wang Deng; Hang He
Journal:  Sci Rep       Date:  2017-04-04       Impact factor: 4.379

4.  Pedigree-Based Deciphering of Genome-Wide Conserved Patterns in an Elite Potato Parental Line.

Authors:  Xiaochuan Li; Jianfei Xu; Shaoguang Duan; Chunsong Bian; Jun Hu; Huolin Shen; Guangcun Li; Liping Jin
Journal:  Front Plant Sci       Date:  2018-05-23       Impact factor: 5.753

5.  Morphological and physiological factors contributing to early vigor in the elite rice cultivar 9,311.

Authors:  Zai Shi; Tian-Gen Chang; Faming Chen; Honglong Zhao; Qingfeng Song; Mengyao Wang; Yanjie Wang; Zhiwei Zhou; Chongrong Wang; Shao-Chuan Zhou; Baoshan Wang; Genyun Chen; Xin-Guang Zhu
Journal:  Sci Rep       Date:  2020-09-09       Impact factor: 4.379

Review 6.  Marker-assisted selection in rice breeding programs in Hokkaido.

Authors:  Kenji Fujino; Yuji Hirayama; Ryota Kaji
Journal:  Breed Sci       Date:  2019-07-24       Impact factor: 2.086

Review 7.  Genomic Breeding of Green Super Rice Varieties and Their Deployment in Asia and Africa.

Authors:  Sibin Yu; Jauhar Ali; Chaopu Zhang; Zhikang Li; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2020-01-08       Impact factor: 5.699

8.  Resequencing core accessions of a pedigree identifies derivation of genomic segments and key agronomic trait loci during cotton improvement.

Authors:  Xiongfeng Ma; Zhenyu Wang; Wei Li; Yuzhou Zhang; Xiaojian Zhou; Yangai Liu; Zhongying Ren; Xiaoyu Pei; Kehai Zhou; Wensheng Zhang; Kunlun He; Fei Zhang; Junfang Liu; Wenyu Ma; Guanghui Xiao; Daigang Yang
Journal:  Plant Biotechnol J       Date:  2018-10-18       Impact factor: 9.803

9.  All-in-one sequencing: an improved library preparation method for cost-effective and high-throughput next-generation sequencing.

Authors:  Sheng Zhao; Cuicui Zhang; Jianqiang Mu; Hui Zhang; Wen Yao; Xinhua Ding; Junqiang Ding; Yuxiao Chang
Journal:  Plant Methods       Date:  2020-05-24       Impact factor: 4.993

10.  Using CRISPR-Cas9 to generate semi-dwarf rice lines in elite landraces.

Authors:  Xingming Hu; Yongtao Cui; Guojun Dong; Anhui Feng; Danying Wang; Chunyan Zhao; Yu Zhang; Jiang Hu; Dali Zeng; Longbiao Guo; Qian Qian
Journal:  Sci Rep       Date:  2019-12-13       Impact factor: 4.379

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