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

Authors
  • Awasthi, Surabhi1, 2
  • Chauhan, Reshu1
  • Indoliya, Yuvraj1
  • Chauhan, Abhishek Singh1, 3
  • Mishra, Shashank Kumar1
  • Agrawal, Lalit4
  • Dwivedi, Sanjay1
  • Singh, Shiv Naresh1
  • Srivastava, Suchi1
  • Singh, Poonam C1
  • Chauhan, Puneet Singh1
  • Chakrabarty, Debasis1
  • Srivastava, Sudhakar2
  • Tripathi, Rudra Deo1
  • 1 CSIR - National Botanical Research Institute, Council of Scientific and Industrial Research, Rana Pratap Marg, Lucknow, 226 001, India. , (India)
  • 2 Plant Stress Biology Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, 221005, India. , (India)
  • 3 Academy of Scientific and Innovative Research (AcSIR), Anusandhan Bhawan, 2 Rafi Marg, New Delhi, 110 001, India. , (India)
  • 4 Department of Agriculture and Allied Science, Doon Business School, Dehradun, Uttarakhand, India. , (India)
Type
Published Article
Journal
Data in Brief
Publisher
Elsevier
Publication Date
Aug 01, 2022
Volume
43
Pages
108377–108377
Identifiers
DOI: 10.1016/j.dib.2022.108377
PMID: 35761993
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

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 the reads and to analyse differential gene expression, Fastxtoolkit, NGSQCtoolkit, Bowtie 2 (version 2.1.0), Tophat program (version 2.0.8), Cufflinks and Cuffdiff programs were used. For Proteome profiling, total soluble proteins in shoot of rice plant among different treatments were extracted and separated by 2D poly acrylamide gel electrophoresis (PAGE) and then proteins were identified with the help of MALDI-TOF/TOF. In gel based method of protein identification, the isoelectric focusing machine (IPGphor system,Bio-Rad USA), gel unit (SDS-PAGE) and MALDI-TOF/TOF (4800 proteomic analyzer Applied Biosystem, USA) were used for successful separation and positive identification of proteins. To check the differential abundance of proteins among different treatments, PDQuest software was used for data analysis. For protein identification, Mascot search engine (http://www.matrixscience.com) using NCBIprot/SwissProt databases of rice was used. The analyzed data inferred comprehensive picture of key genes and their respective proteins involved in microbial consortium mediated improved plant growth and amelioration of As induced phyto-toxicity in rice. For the more comprehensive information of data, the related full-length article entitled "Microbial consortium mediated growth promotion and Arsenic reduction in Rice: An integrated transcriptome and proteome profiling" may be accessed. © 2022 The Authors. Published by Elsevier Inc.

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