Literature DB >> 17229544

An efficient method for producing an indexed, insertional-mutant library in rice.

Chengkun He1, Moul Dey, Zhihong Lin, Faping Duan, Fengling Li, Ray Wu.   

Abstract

Generation of an indexed, saturated, insertional-mutant library is an aid to understanding the functions of genes in an organism. However, 10 years of work by many investigators have not yet yielded such a library in rice. The major reason is that determining the chromosomal locations of a very large number of random insertion mutants by flanking sequence analysis is highly labor intensive, and therefore, libraries that do exist have not been indexed. We report here an efficient procedure to construct an indexed, region-specific, insertional-mutant library of rice. The procedure makes use of efficient long-PCR-based high-throughput indexing, coupled with a random but anchored population of Ds transposants. Long-PCR indexing allows rapid and simultaneous determination of the chromosomal locations of a large number of mutants that surround a particular anchor line, thus converting a random library into an indexed one. Such a library can be used directly, without the need to screen a large random library for a desired mutant plant.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17229544     DOI: 10.1016/j.ygeno.2006.11.014

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  7 in total

1.  Mutant resources in rice for functional genomics of the grasses.

Authors:  Arjun Krishnan; Emmanuel Guiderdoni; Gynheung An; Yue-ie C Hsing; Chang-deok Han; Myung Chul Lee; Su-May Yu; Narayana Upadhyaya; Srinivasan Ramachandran; Qifa Zhang; Venkatesan Sundaresan; Hirohiko Hirochika; Hei Leung; Andy Pereira
Journal:  Plant Physiol       Date:  2009-01       Impact factor: 8.340

2.  Characterization of a potato activation-tagged mutant, nikku, and its partial revertant.

Authors:  Sukhwinder S Aulakh; Richard E Veilleux; Guozhu Tang; Barry S Flinn
Journal:  Planta       Date:  2015-03-13       Impact factor: 4.116

3.  Whole Genome Characterization of a Few EMS-Induced Mutants of Upland Rice Variety Nagina 22 Reveals a Staggeringly High Frequency of SNPs Which Show High Phenotypic Plasticity Towards the Wild-Type.

Authors:  Amitha M V Sevanthi; Prashant Kandwal; Prashant B Kale; Chandra Prakash; M K Ramkumar; Neera Yadav; Ajay K Mahato; V Sureshkumar; Motilal Behera; Rupesh K Deshmukh; P Jeyaparakash; Meera K Kar; S Manonmani; Raveendran Muthurajan; K S Gopala; Sarla Neelamraju; M S Sheshshayee; P Swain; Ashok K Singh; N K Singh; Trilochan Mohapatra; R P Sharma
Journal:  Front Plant Sci       Date:  2018-09-04       Impact factor: 5.753

4.  Characterization of unknown genetic modifications using high throughput sequencing and computational subtraction.

Authors:  Torstein Tengs; Haibo Zhang; Arne Holst-Jensen; Jon Bohlin; Melinka A Butenko; Anja Bråthen Kristoffersen; Hilde-Gunn Opsahl Sorteberg; Knut G Berdal
Journal:  BMC Biotechnol       Date:  2009-10-08       Impact factor: 2.563

5.  International Consortium of Rice Mutagenesis: resources and beyond.

Authors:  Fu-Jin Wei; Gaëtan Droc; Emmanuel Guiderdoni; Yue-Ie C Hsing
Journal:  Rice (N Y)       Date:  2013-12-17       Impact factor: 4.783

6.  Lack of Genotype and Phenotype Correlation in a Rice T-DNA Tagged Line Is Likely Caused by Introgression in the Seed Source.

Authors:  Fu-Jin Wei; Yuan-Ching Tsai; Yu-Ming Hsu; Yu-An Chen; Ching-Ting Huang; Hshin-Ping Wu; Lin-Tzu Huang; Ming-Hsin Lai; Lin-Yun Kuang; Shuen-Fang Lo; Su-May Yu; Yann-Rong Lin; Yue-Ie Caroline Hsing
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

7.  Large-scale phenomics analysis of a T-DNA tagged mutant population.

Authors:  Hshin-Ping Wu; Fu-Jin Wei; Cheng-Chieh Wu; Shuen-Fang Lo; Liang-Jwu Chen; Ming-Jen Fan; Shu Chen; Ien-Chie Wen; Su-May Yu; Tuan-Hua David Ho; Ming-Hsin Lai; Yue-Ie C Hsing
Journal:  Gigascience       Date:  2017-08-01       Impact factor: 6.524

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.