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Title: | Optimization of hairy root transformation for the functional genomics in chickpea: A platform for nodule developmental studies |
Authors: | Mandal, Drishti Srivastava, Deevita Sinharoy, Senjuti |
Keywords: | A. rhizogenes Chickpea Composite plants Co-transformation Hairy root transformation Root nodule symbiosis |
Issue Date: | 2020 |
Publisher: | Springer Nature Publishing AG |
Citation: | Methods in Molecular Biology, 2107: 335-348 |
Abstract: | Chickpea is a major protein source in low socio-economic classes and cultivated in marginal soil without fertilizer or irrigation. As a result of its root nodule formation capacity chickpea can directly use atmospheric nitrogen. Chickpea is recalcitrant to stable transformation, particularly root regeneration efficiency of chickpea is low. The composite plant-based system with a non-transformed shoot and transformed root is particularly important for root biologist and this approach has already been used successfully for root nodule symbiosis, arbuscular mycorrhizal symbiosis, and other root-related studies. Use of fluorescent marker-based approach can accurately identify the transformed root from its non-transgenic counterpart. RNAi-based gene knockout, overexpression of genes, promoter GUS analysis to understand tissue specific expression and localization of protein can be achieved using the hairy root-based system. We have already published a hairy root-based transformation and composite plant regeneration protocol of chickpea. Here we are describing the recent modification that we have made to increase the transformation frequency and nodule morphology. Further, we have developed a pouch based artificial system, large number of plants can be scored for its nodule developmental phenotype, by using this system. |
Description: | Accepted date: 1 Jan 2020 |
URI: | https://link.springer.com/protocol/10.1007%2F978-1-0716-0235-5_18 http://223.31.159.10:8080/jspui/handle/123456789/1029 |
ISBN: | 978-1-0716-0235-5 |
Appears in Collections: | Institutional Publications |
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Sinharoy S_2020_1.pdf Restricted Access | 381.95 kB | Adobe PDF | View/Open Request a copy |
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