Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.

Rice is an important cereal which is grown worldwide covering the requirement of 50% of the world population as the staple food. Diverse abiotic factors act as a limiting factor for its yield annually and can challenge sustainable productivity of the crop. Iron is an important micronutrient for plan...

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Main Authors: Saradia Kar, Raj Kishan Agrahari, Emiko Yanase, Yuriko Kobayashi, Hiroyuki Koyama, Sanjib Kumar Panda
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Plant Stress
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667064X22000239
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author Saradia Kar
Raj Kishan Agrahari
Emiko Yanase
Yuriko Kobayashi
Hiroyuki Koyama
Sanjib Kumar Panda
author_facet Saradia Kar
Raj Kishan Agrahari
Emiko Yanase
Yuriko Kobayashi
Hiroyuki Koyama
Sanjib Kumar Panda
author_sort Saradia Kar
collection DOAJ
description Rice is an important cereal which is grown worldwide covering the requirement of 50% of the world population as the staple food. Diverse abiotic factors act as a limiting factor for its yield annually and can challenge sustainable productivity of the crop. Iron is an important micronutrient for plants participating in biochemical reactions including electron transport chain. Under the impact of excess iron in the rhizosphere, plants are posed with iron toxic condition. Most of the lowland rice is cultivated in submerged condition leading to accumulation of Fe2+ in the soil which is the toxic form for uptake and in turn can affect the yield of the crop. Present work is an extension of previously performed transcriptomic analysis of Northeast India lowland rice varieties under excess iron treatment using ultra-high-performance liquid chromatography-mass spectrometry (UPLC-MS). In total 1105 peaks were detected for each root and shoot. Multivariate analysis based upon principal component analysis (PCA; PCA1 and PCA2) are accounted for 70.6% of the total variation in root and 77.2% in shoot. The metabolomics profiling has indicated significant alteration in primary and secondary metabolites. Majority of the secondary metabolites like quercetin, malvin, flavanones, delphinidin are upregulated indicating their role in anti-oxidative properties during iron toxicity. On the other hand, chelators of ferric ion like mugineic acid are down regulated to avoid excess iron uptake. This work is a comparative insight on the metabolic front in case of iron excess tolerance in contrasting lowland rice varieties.
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spelling doaj.art-0a0139d324714c308aaafd35b6af0d452022-12-21T19:20:19ZengElsevierPlant Stress2667-064X2022-04-014100078Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.Saradia Kar0Raj Kishan Agrahari1Emiko Yanase2Yuriko Kobayashi3Hiroyuki Koyama4Sanjib Kumar Panda5Assam University, Silchar, Assam 788011, IndiaFaculty of Applied Biological Sciences, Gifu University, Gifu 501-1193, JapanFaculty of Applied Biological Sciences, Gifu University, Gifu 501-1193, JapanFaculty of Applied Biological Sciences, Gifu University, Gifu 501-1193, JapanFaculty of Applied Biological Sciences, Gifu University, Gifu 501-1193, JapanDepartment of Biochemistry, Central University of Rajasthan, Rajasthan 305817, India; Corresponding author.Rice is an important cereal which is grown worldwide covering the requirement of 50% of the world population as the staple food. Diverse abiotic factors act as a limiting factor for its yield annually and can challenge sustainable productivity of the crop. Iron is an important micronutrient for plants participating in biochemical reactions including electron transport chain. Under the impact of excess iron in the rhizosphere, plants are posed with iron toxic condition. Most of the lowland rice is cultivated in submerged condition leading to accumulation of Fe2+ in the soil which is the toxic form for uptake and in turn can affect the yield of the crop. Present work is an extension of previously performed transcriptomic analysis of Northeast India lowland rice varieties under excess iron treatment using ultra-high-performance liquid chromatography-mass spectrometry (UPLC-MS). In total 1105 peaks were detected for each root and shoot. Multivariate analysis based upon principal component analysis (PCA; PCA1 and PCA2) are accounted for 70.6% of the total variation in root and 77.2% in shoot. The metabolomics profiling has indicated significant alteration in primary and secondary metabolites. Majority of the secondary metabolites like quercetin, malvin, flavanones, delphinidin are upregulated indicating their role in anti-oxidative properties during iron toxicity. On the other hand, chelators of ferric ion like mugineic acid are down regulated to avoid excess iron uptake. This work is a comparative insight on the metabolic front in case of iron excess tolerance in contrasting lowland rice varieties.http://www.sciencedirect.com/science/article/pii/S2667064X22000239Iron toxicityMetabolomeRiceUPLC-MS
spellingShingle Saradia Kar
Raj Kishan Agrahari
Emiko Yanase
Yuriko Kobayashi
Hiroyuki Koyama
Sanjib Kumar Panda
Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
Plant Stress
Iron toxicity
Metabolome
Rice
UPLC-MS
title Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
title_full Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
title_fullStr Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
title_full_unstemmed Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
title_short Liquid chromatography-mass spectrometry (LC-MS) based metabolomic fingerprinting in contrasting rice varieties for iron (Fe) excess.
title_sort liquid chromatography mass spectrometry lc ms based metabolomic fingerprinting in contrasting rice varieties for iron fe excess
topic Iron toxicity
Metabolome
Rice
UPLC-MS
url http://www.sciencedirect.com/science/article/pii/S2667064X22000239
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