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Quantitative Proteomics Analysis Identifies the Potential Mechanism Underlying Yellow-Green Leave Mutant in Wheat

Wei Zheng, Zheng Shi, Mei Long, Yuncheng Liao*

College of Agronomy, Northwest A&F University, Yangling, 712100, China

* Corresponding Author: Yuncheng Liao. Email: email

(This article belongs to the Special Issue: Plant Physiology for Crop Production and Sustainable Agriculture)

Phyton-International Journal of Experimental Botany 2021, 90(4), 1147-1159. https://doi.org/10.32604/phyton.2021.015916

Abstract

Enhancing photosynthesis efficiency is considered as one of the most crucial targets during wheat breeding. However, the molecular basis underlying high photosynthesis efficiency is not well understood up to now. In this study, we investigated the protein expression profile of wheat Jimai5265yg mutant, which is a yellow-green mutant with chlorophylls b deficiency but high photosynthesis efficiency. Though TMT-labeling quantitative proteomics analysis, a total of 72 differential expressed proteins (DEPs) were obtained between the mutant and wild type (WT). GO analysis found that they significantly enriched in thylakoid membrane, pigment binding, magnesium chelatase activity and response to light intensity. KEGG analysis showed that they involved in photosynthesis-antenna protein as well as porphyrin and chlorophyll metabolism. Finally, 118 RNA editing events were found between mutant and WT genotype. The A to C editing in the 3-UTR of TraesCS6D02G401500 lead to its high expression in mutant through removing the inhibition of tae-miR9781, which might have vital role in regulating the yellow-green mutant. This study provided some useful clues about the molecular basis of Jimai5265yg mutant as well as chlorophylls metabolism in wheat.

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APA Style
Zheng, W., Shi, Z., Long, M., Liao, Y. (2021). Quantitative proteomics analysis identifies the potential mechanism underlying yellow-green leave mutant in wheat. Phyton-International Journal of Experimental Botany, 90(4), 1147-1159. https://doi.org/10.32604/phyton.2021.015916
Vancouver Style
Zheng W, Shi Z, Long M, Liao Y. Quantitative proteomics analysis identifies the potential mechanism underlying yellow-green leave mutant in wheat. Phyton-Int J Exp Bot. 2021;90(4):1147-1159 https://doi.org/10.32604/phyton.2021.015916
IEEE Style
W. Zheng, Z. Shi, M. Long, and Y. Liao, “Quantitative Proteomics Analysis Identifies the Potential Mechanism Underlying Yellow-Green Leave Mutant in Wheat,” Phyton-Int. J. Exp. Bot., vol. 90, no. 4, pp. 1147-1159, 2021. https://doi.org/10.32604/phyton.2021.015916



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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