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PMID: 20440406 Published · epublish English Journal Article Review

Natural and artificial mutants as valuable resources for functional genomics and molecular breeding.

International journal of biological sciences ·Vol. 6 ·No. 3 ·2010-04-28 ·Pages 228-51

Jiang SY, Ramachandran S

Abstract

With the completion of rice genome sequencing, large collection of expression data and the great efforts in annotating rice genomes, the next challenge is to systematically assign functions to all predicted genes in the genome. The generations and collections of mutants at the genome-wide level form technological platform of functional genomics. In this study, we have reviewed currently employed tools to generate such mutant populations. These tools include natural, physical, chemical, tissue culture, T-DNA, transposon or gene silencing based mutagenesis. We also reviewed how these tools were used to generate a large collection of mutants and how these mutants can be screened and detected for functional analysis of a gene. The data suggested that the current population of mutants might be large enough to tag all predicted genes. However, the collection of flanking sequencing tags (FSTs) is limited due to the relatively higher cost. Thus, we have proposed a new strategy to generate gene-silencing mutants at the genome-wide level. Due to the large collection of insertion mutants, the next step to rice functional genomics should be focusing on functional characterization of tagged genes by detailed survey of corresponding mutants. Additionally, we also evaluated the utilization of these mutants as valuable resources for molecular breeding.

Keywords
Functional Genomics Molecular Breeding Mutagenesis Mutants Rice
MeSH Terms
Base Sequence Chromosome Mapping DNA Shuffling DNA, Bacterial Genomics/methods Mutagenesis, Insertional/methods Oryza/genetics Retroelements
Chemicals
DNA, Bacterial Retroelements T-DNA
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Jiang Shu-Ye
Rice Functional Genomics Group, Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604.
Ramachandran Srinivasan
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Article Info
Journal
International journal of biological sciences
Abbr.
Int J Biol Sci
ISSN
1449-2288
Published
2010-04-28
Epub
2010-00-28
Pages
228-51
Language
English
Region
Australia
NLM ID
101235568
PMCID
PMC2862397
Subset
IM
Analysis Services
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