Literature DB >> 30070085

High-resolution melting-based TILLING of γ ray-induced mutations in rice.

Shan Li1,2, Song-Mei Liu1, Hao-Wei Fu3, Jian-Zhong Huang2, Qing-Yao Shu1,4.   

Abstract

Targeting Induced Local Lesions IN Genomes (TILLING) is a reverse genetics strategy for the high-throughput screening of induced mutations. γ radiation, which often induces both insertion/deletion (Indel) and point mutations, has been widely used in mutation induction and crop breeding. The present study aimed to develop a simple, high-throughput TILLING system for screening γ ray-induced mutations using high-resolution melting (HRM) analysis. Pooled rice (Oryza sativa) samples mixed at a 1:7 ratio of Indel mutant to wild-type DNA could be distinguished from the wild-type controls by HRM analysis. Thus, an HRM-TILLING system that analyzes pooled samples of four M2 plants is recommended for screening γ ray-induced mutants in rice. For demonstration, a γ ray-mutagenized M2 rice population (n=4560) was screened for mutations in two genes, OsLCT1 and SPDT, using this HRM-TILLING system. Mutations including one single nucleotide substitution (G→A) and one single nucleotide insertion (A) were identified in OsLCT1, and one trinucleotide (TTC) deletion was identified in SPDT. These mutants can be used in rice breeding and genetic studies, and the findings are of importance for the application of γ ray mutagenesis to the breeding of rice and other seed crops.

Entities:  

Keywords:  Mutation screening; High-resolution melting (HRM) analysis; Targeting Induced Local Lesions IN Genomes (TILLING); Mutant; Indel; γ ray; Rice

Mesh:

Year:  2018        PMID: 30070085      PMCID: PMC6102187          DOI: 10.1631/jzus.B1700414

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  26 in total

Review 1.  High-Resolution DNA Melting Analysis in Plant Research.

Authors:  Ivan Simko
Journal:  Trends Plant Sci       Date:  2016-01-27       Impact factor: 18.313

Review 2.  High-resolution DNA melting analysis for simple and efficient molecular diagnostics.

Authors:  Gudrun H Reed; Jana O Kent; Carl T Wittwer
Journal:  Pharmacogenomics       Date:  2007-06       Impact factor: 2.533

3.  EMS mutagenesis and qPCR-HRM prescreening for point mutations in an embryogenic cell suspension of grapevine.

Authors:  Yosvanis Acanda; Óscar Martínez; María Jesús Prado; María Victoria González; Manuel Rey
Journal:  Plant Cell Rep       Date:  2013-12-21       Impact factor: 4.570

4.  Impact of mutation type and amplicon characteristics on genetic diversity measures generated using a high-resolution melting diversity assay.

Authors:  Matthew M Cousins; Deborah Donnell; Susan H Eshleman
Journal:  J Mol Diagn       Date:  2012-11-22       Impact factor: 5.568

5.  Reducing phosphorus accumulation in rice grains with an impaired transporter in the node.

Authors:  Naoki Yamaji; Yuma Takemoto; Takaaki Miyaji; Namiki Mitani-Ueno; Kaoru T Yoshida; Jian Feng Ma
Journal:  Nature       Date:  2016-12-21       Impact factor: 49.962

6.  High-resolution melting analysis of cDNA-derived PCR amplicons for rapid and cost-effective identification of novel alleles in barley.

Authors:  Bernhard J Hofinger; Hai-Chun Jing; Kim E Hammond-Kosack; Kostya Kanyuka
Journal:  Theor Appl Genet       Date:  2009-07-04       Impact factor: 5.699

7.  High resolution melting analysis for the detection of EMS induced mutations in wheat SBEIIa genes.

Authors:  Ermelinda Botticella; Francesco Sestili; Antonio Hernandez-Lopez; Andrew Phillips; Domenico Lafiandra
Journal:  BMC Plant Biol       Date:  2011-11-10       Impact factor: 4.215

8.  Simultaneous mutation detection of three homoeologous genes in wheat by High Resolution Melting analysis and Mutation Surveyor.

Authors:  Chongmei Dong; Kate Vincent; Peter Sharp
Journal:  BMC Plant Biol       Date:  2009-12-04       Impact factor: 4.215

9.  Implementation of two high through-put techniques in a novel application: detecting point mutations in large EMS mutated plant populations.

Authors:  Antoine Lf Gady; Freddy Wk Hermans; Marion Hbj Van de Wal; Eibertus N van Loo; Richard Gf Visser; Christian Wb Bachem
Journal:  Plant Methods       Date:  2009-10-07       Impact factor: 4.993

10.  A strategy to setup codominant microsatellite analysis for high-resolution-melting-curve-analysis (HRM).

Authors:  Eduard Mader; Brigitte Lukas; Johannes Novak
Journal:  BMC Genet       Date:  2008-11-03       Impact factor: 2.797

View more
  6 in total

Review 1.  Breeding for low cadmium accumulation cereals.

Authors:  Qin Chen; Fei-Bo Wu
Journal:  J Zhejiang Univ Sci B       Date:  2020-06       Impact factor: 3.066

2.  Breeding crops by design for future agriculture.

Authors:  Chengdao Li
Journal:  J Zhejiang Univ Sci B       Date:  2020-06       Impact factor: 3.066

3.  Characterization and Mutational Analysis of a Monogalactosyldiacylglycerol Synthase Gene OsMGD2 in Rice.

Authors:  Rasbin Basnet; Jiarun Zhang; Nazim Hussain; Qingyao Shu
Journal:  Front Plant Sci       Date:  2019-08-02       Impact factor: 5.753

4.  Single Nucleotide Polymorphisms as Practical Molecular Tools to Support European Chestnut Agrobiodiversity Management.

Authors:  Angelina Nunziata; Valentino Ruggieri; Milena Petriccione; Luigi De Masi
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

5.  Characterization of genome-wide variations induced by gamma-ray radiation in barley using RNA-Seq.

Authors:  Cong Tan; Xiao-Qi Zhang; Yin Wang; Dianxin Wu; Matthew I Bellgard; Yanhao Xu; Xiaoli Shu; Gaofeng Zhou; Chengdao Li
Journal:  BMC Genomics       Date:  2019-10-29       Impact factor: 3.969

Review 6.  Mutagenesis in Rice: The Basis for Breeding a New Super Plant.

Authors:  Vívian Ebeling Viana; Camila Pegoraro; Carlos Busanello; Antonio Costa de Oliveira
Journal:  Front Plant Sci       Date:  2019-11-08       Impact factor: 5.753

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.