Gain-of-function in Arabidopsis (GAINA) for identifying functional genes in Hevea brasiliensis
| Autor: | Jianshun Zhu, Han Cheng, Haibin Cai, Huasun Huang, Jing Gao |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Genetics Rubber tree Multidisciplinary biology cDNA library Methodology Arabidopsis Forward genetics biology.organism_classification Genome 03 medical and health sciences Transformation (genetics) 030104 developmental biology Full-length cDNA library Complementary DNA Mutation Gain-of-function Hevea brasiliensis Gene |
| Zdroj: | SpringerPlus |
| ISSN: | 2193-1801 |
| Popis: | Background Forward genetics approaches are not popularly applied in non-model plants due to their complex genomes, long life cycles, backward genetic studies etc. Researchers have to adopt reverse genetic methods to characterize gene functions in non-model plants individually, the efficiency of which is usually low. Results In this study, we report a gain-of-function in Arabidopsis (GAINA) strategy which can be used for batch identification of functional genes in a plant species. This strategy aims to obtain the gain-of-function of rubber tree genes through overexpressing transformation ready full-length cDNA libraries in Arabidopsis. An initial transformation test produced about two thousand independent transgenic Arabidopsis lines, in which multiple obvious aberrant phenotypes were observed, suggesting the gain-of-function of rubber tree genes. The transferred genes were further isolated and identified. One gene identified to be metallothionein-like protein type 3 gene was further transferred into Arabidopsis and reproduced a similar aberrant phenotype. Conclusion The GAINA system proves to be an efficient tool for batch identification of functional genes in Hevea brasiliensis, and also applicable in other non-model plants. Electronic supplementary material The online version of this article (doi:10.1186/s40064-016-3523-4) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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