Comprehensive illustration of transcriptomic and proteomic dataset for mitigation of arsenic toxicity in rice (Oryza sativa L.) by microbial consortium

Comprehensive illustration of transcriptomic and proteomic dataset for mitigation of arsenic toxicity in rice (Oryza sativa L.) by microbial consortium

The present article represents the data for analysis of microbial consortium (P.putida+C.vulgaris) mediated amelioration of arsenic toxicity in rice plant. In the current study the transcriptome profiling of treated rice root and shoot was performed by illumina sequencing (Platform 2000). To process...

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Bibliographic Details
Main Authors:	Surabhi Awasthi, Reshu Chauhan, Yuvraj Indoliya, Abhishek Singh Chauhan, Shashank Kumar Mishra, Lalit Agrawal, Sanjay Dwivedi, Shiv Naresh Singh, Suchi Srivastava, Poonam C. Singh, Puneet Singh Chauhan, Debasis Chakrabarty, Sudhakar Srivastava, Rudra Deo Tripathi
Format:	Article
Language:	English
Published:	Elsevier 2022-08-01
Series:	Data in Brief
Subjects:	Antioxidant enzymes Chlorella vulgaris, Pseudomonas putida, Phytohormone, Transporters
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340922005741

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