arsenomics: omics of arsenic metabolism in plants

arsenomics: omics of arsenic metabolism in plants

;Rudra Deo eTripathi;Preeti eTripathi;Sanjay eDwivedi;Sonali eDubey;Debasis eChakrabarty;Prabodh k Trivedi
Journal of clinical and experimental dentistry 2012 Vol. 3 pp. -
180
etripathi2012frontiersarsenomics:

Abstract

AbstractArsenic (As) contamination of drinking water and groundwater used for irrigation can lead to contamination of the food chain and poses serious health risk to people worldwide. To reduce As intake through the consumption of contaminated food, identification of the mechanisms for As accumulation and detoxification in plant is a prerequisite to develop efficient phytoremediation methods and safer crops with reduced As levels. Transcriptome, proteome and metabolome analysis of any organism reflects the total biological activities at any given time which are responsible for the adaptation of the organism to the surrounding environmental conditions. As these approaches are very important in analyzing plant As transport and accumulation, we termed Arsenomics as approach which deals transcriptome, proteome and metabolome alterations during As exposure. Although, various studies have been performed to understand modulation in transcriptome in response to As, many important questions need to be addressed regarding the translated proteins of plants at proteomic and metabolomic level, resulting in various ecophysiological responses. In this review, the comprehensive knowledge generated in this area has been compiled and analyzed. There is a need to strengthen Arsenomics which will lead to develop of tools to develop As-free plants for safe consumption.

Citation

ID: 205308
Ref Key: etripathi2012frontiersarsenomics:
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
205308
Unique Identifier:
10.3389/fphys.2012.00275
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet