Functional characterization of transposon-tagged abiotic stress-responsive rice genes and their molecular polymorphisms among various stress-tolerant genotypes

被引:0
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作者
Shu-Ye Jiang
Ali Ma
Jeevanandam Vanitha
Lifen Xie
Srinivasan Ramachandran
机构
[1] National University of Singapore,Rice Functional Genomics Group, Temasek Life Sciences Laboratory, 1 Research Link
来源
Molecular Breeding | 2018年 / 38卷
关键词
Abiotic stresses; Differentially expressed genes; Insertion and deletions (Indels); Insertional mutagenesis; Single nucleotide polymorphism (SNP);
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学科分类号
摘要
Dissociation (Ds) insertional mutagenesis has been regarded as an efficient tool to generate insertion mutants for functional genomics and molecular breeding. However, little is known about the application of the tool on exploring biological functions of abiotic stress-related genes and their molecular breeding experience. In this study, a total of 833 Ds insertion lines have been obtained, which showed significantly higher tolerance or sensitivity to high salinity, drought or cold stress, by screening around 20,000 Ds lines. Analysis of Ds flanking sequence tags revealed that 165 rice genes were tagged by Ds insertion. Gene Ontology (GO) and gene set enrichment analysis showed that over-represented Ds-tagged genes might function in the response to exogenous stimuli. These Ds-tagged genes showed expression divergence among five high salinity and five drought tolerant rice lines under either high salinity or drought stress. Higher percentages of Ds-tagged genes were down- or up-regulated by these abiotic stresses. These Ds-tagged genes were also frequently reduced or suppressed by various phytohormones including abscisic acid and jasmonate. On the other hand, we have also detected single nucleotide polymorphisms (SNPs) and 1–10 base pairs of insertion and deletions (indels) of these Ds-tagged genes among ten high salinity/drought tolerant rice lines by comparing with the reference genome Nipponbare. Our data showed that SNPs were detected among 102 out of 165 genes and indels were identified in 39 out of 165 genes. All the data provided additional information to further explore the biological functions of these genes or to carry out molecular breeding.
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