Literature DB >> 24415207

Genome-wide DNA polymorphism and transcriptome analysis of an early-maturing rice mutant.

Sun-Goo Hwang1, Jin Gyu Hwang, Dong Sub Kim, Cheol Seong Jang.   

Abstract

In order to develop a rice population with improved important traits such as flowering time, we developed 2,911 M2 targeting-induced local lesions in genomes (TILLING) lines by irradiating rice seeds with γ-rays. In all, 15 M3 lines were obtained from 3 different M2 lines that exhibited an early-maturing phenotype: these plants matured approximately 25 days faster than wild-type (WT) plants. To identify genome-wide DNA polymorphisms, we performed whole-genome resequencing of both the plant types, i.e., WT and early-maturing TILLING 1 (EMT1), and obtained mapped reads of 118,488,245 bp (99.53 %) and 128,489,860 bp (99.72 %), respectively; Nipponbare was used as the reference genome. We obtained 63,648 and 147,728 single nucleotide polymorphisms (SNPs) and 33,474 and 31,082 insertions and deletions (InDels) for the WT and EMT1, respectively. Interestingly, there was a higher number of SNPs (2.6-fold) and slightly lower number of InDels (0.9-fold) in EMT1 than in WT. The expression of at least 202 structurally altered genes was changed in EMT1, and functional enrichment analysis of these genes revealed that their molecular functions were related to flower development. These results might provide a critical insight into the regulatory pathways of rice flowering.

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Year:  2014        PMID: 24415207     DOI: 10.1007/s10709-013-9755-0

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  25 in total

1.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

Review 2.  Control of flowering time: interacting pathways as a basis for diversity.

Authors:  Aidyn Mouradov; Frédéric Cremer; George Coupland
Journal:  Plant Cell       Date:  2002       Impact factor: 11.277

3.  Large-scale discovery of induced point mutations with high-throughput TILLING.

Authors:  Bradley J Till; Steven H Reynolds; Elizabeth A Greene; Christine A Codomo; Linda C Enns; Jessica E Johnson; Chris Burtner; Anthony R Odden; Kim Young; Nicholas E Taylor; Jorja G Henikoff; Luca Comai; Steven Henikoff
Journal:  Genome Res       Date:  2003-03       Impact factor: 9.043

Review 4.  TILLING moves beyond functional genomics into crop improvement.

Authors:  Ann J Slade; Vic C Knauf
Journal:  Transgenic Res       Date:  2005-04       Impact factor: 2.788

5.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

6.  AFLP: a new technique for DNA fingerprinting.

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Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

7.  Ehd1, a B-type response regulator in rice, confers short-day promotion of flowering and controls FT-like gene expression independently of Hd1.

Authors:  Kazuyuki Doi; Takeshi Izawa; Takuichi Fuse; Utako Yamanouchi; Takahiko Kubo; Zenpei Shimatani; Masahiro Yano; Atsushi Yoshimura
Journal:  Genes Dev       Date:  2004-04-12       Impact factor: 11.361

8.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

9.  TILLING in Lotus japonicus identified large allelic series for symbiosis genes and revealed a bias in functionally defective ethyl methanesulfonate alleles toward glycine replacements.

Authors:  Jillian Perry; Andreas Brachmann; Tracey Welham; Andreas Binder; Myriam Charpentier; Martin Groth; Kristina Haage; Katharina Markmann; Trevor L Wang; Martin Parniske
Journal:  Plant Physiol       Date:  2009-07-29       Impact factor: 8.340

10.  Neighboring base composition and transversion/transition bias in a comparison of rice and maize chloroplast noncoding regions.

Authors:  B R Morton
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-10       Impact factor: 11.205

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  5 in total

1.  Identification of altered metabolic pathways of γ-irradiated rice mutant via network-based transcriptome analysis.

Authors:  Sun-Goo Hwang; Dong Sub Kim; Jung Eun Hwang; Hyeon Mi Park; Cheol Seong Jang
Journal:  Genetica       Date:  2015-09-11       Impact factor: 1.082

2.  Identification of candidate genes for an early-maturing soybean mutant by genome resequencing analysis.

Authors:  Kyung Jun Lee; Dong Sub Kim; Jin-Baek Kim; Sung-Hwan Jo; Si-Yong Kang; Hong-Il Choi; Bo-Keun Ha
Journal:  Mol Genet Genomics       Date:  2016-03-31       Impact factor: 3.291

3.  Whole genome sequencing and analysis of Swarna, a widely cultivated indica rice variety with low glycemic index.

Authors:  Pasupathi Rathinasabapathi; Natarajan Purushothaman; V L Ramprasad; Madasamy Parani
Journal:  Sci Rep       Date:  2015-06-11       Impact factor: 4.379

4.  Rapid identification and recovery of ENU-induced mutations with next-generation sequencing and Paired-End Low-Error analysis.

Authors:  Luyuan Pan; Arish N Shah; Ian G Phelps; Dan Doherty; Eric A Johnson; Cecilia B Moens
Journal:  BMC Genomics       Date:  2015-02-14       Impact factor: 3.969

5.  Identification of candidate genes for leaf scorch in Populus deltoids by the whole genome resequencing analysis.

Authors:  Weibing Zhuang; Tianyu Liu; Shenchun Qu; Binhua Cai; Yalong Qin; Fengjiao Zhang; Zhong Wang
Journal:  Sci Rep       Date:  2018-11-06       Impact factor: 4.379

  5 in total

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