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Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves

The leaves of the Chinese cabbage which is most widely consumed come in a wide variety of colors. Leaves that are dark green can promote photosynthesis, effectively improving crop yield, and therefore hold important application and cultivation value. In this study, we selected nine inbred lines of C...

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Autores principales: Su, Xiangjie, Yue, Xiaonan, Kong, Mingyu, Xie, Ziwei, Yan, Jinghui, Ma, Wei, Wang, Yanhua, Zhao, Jianjun, Zhang, Xiaomeng, Liu, Mengyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255825/
https://www.ncbi.nlm.nih.gov/pubmed/37299103
http://dx.doi.org/10.3390/plants12112124
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author Su, Xiangjie
Yue, Xiaonan
Kong, Mingyu
Xie, Ziwei
Yan, Jinghui
Ma, Wei
Wang, Yanhua
Zhao, Jianjun
Zhang, Xiaomeng
Liu, Mengyang
author_facet Su, Xiangjie
Yue, Xiaonan
Kong, Mingyu
Xie, Ziwei
Yan, Jinghui
Ma, Wei
Wang, Yanhua
Zhao, Jianjun
Zhang, Xiaomeng
Liu, Mengyang
author_sort Su, Xiangjie
collection PubMed
description The leaves of the Chinese cabbage which is most widely consumed come in a wide variety of colors. Leaves that are dark green can promote photosynthesis, effectively improving crop yield, and therefore hold important application and cultivation value. In this study, we selected nine inbred lines of Chinese cabbage displaying slight differences in leaf color, and graded the leaf color using the reflectance spectra. We clarified the differences in gene sequences and the protein structure of ferrochelatase 2 (BrFC2) among the nine inbred lines, and used qRT-PCR to analyze the expression differences of photosynthesis-related genes in inbred lines with minor variations in dark-green leaves. We found expression differences among the inbred lines of Chinese cabbage in photosynthesis-related genes involved in the porphyrin and chlorophyll metabolism, as well as in photosynthesis and photosynthesis-antenna protein pathway. Chlorophyll b content was significantly positively correlated with the expression of PsbQ, LHCA1_1 and LHCB6_1, while chlorophyll a content was significantly negatively correlated with the expression PsbQ, LHCA1_1 and LHCA1_2. Our results provide an empirical basis for the precise identification of candidate genes and a better understanding of the molecular mechanisms responsible for the production of dark-green leaves in Chinese cabbage.
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spelling pubmed-102558252023-06-10 Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves Su, Xiangjie Yue, Xiaonan Kong, Mingyu Xie, Ziwei Yan, Jinghui Ma, Wei Wang, Yanhua Zhao, Jianjun Zhang, Xiaomeng Liu, Mengyang Plants (Basel) Article The leaves of the Chinese cabbage which is most widely consumed come in a wide variety of colors. Leaves that are dark green can promote photosynthesis, effectively improving crop yield, and therefore hold important application and cultivation value. In this study, we selected nine inbred lines of Chinese cabbage displaying slight differences in leaf color, and graded the leaf color using the reflectance spectra. We clarified the differences in gene sequences and the protein structure of ferrochelatase 2 (BrFC2) among the nine inbred lines, and used qRT-PCR to analyze the expression differences of photosynthesis-related genes in inbred lines with minor variations in dark-green leaves. We found expression differences among the inbred lines of Chinese cabbage in photosynthesis-related genes involved in the porphyrin and chlorophyll metabolism, as well as in photosynthesis and photosynthesis-antenna protein pathway. Chlorophyll b content was significantly positively correlated with the expression of PsbQ, LHCA1_1 and LHCB6_1, while chlorophyll a content was significantly negatively correlated with the expression PsbQ, LHCA1_1 and LHCA1_2. Our results provide an empirical basis for the precise identification of candidate genes and a better understanding of the molecular mechanisms responsible for the production of dark-green leaves in Chinese cabbage. MDPI 2023-05-27 /pmc/articles/PMC10255825/ /pubmed/37299103 http://dx.doi.org/10.3390/plants12112124 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Xiangjie
Yue, Xiaonan
Kong, Mingyu
Xie, Ziwei
Yan, Jinghui
Ma, Wei
Wang, Yanhua
Zhao, Jianjun
Zhang, Xiaomeng
Liu, Mengyang
Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title_full Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title_fullStr Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title_full_unstemmed Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title_short Leaf Color Classification and Expression Analysis of Photosynthesis-Related Genes in Inbred Lines of Chinese Cabbage Displaying Minor Variations in dark-green Leaves
title_sort leaf color classification and expression analysis of photosynthesis-related genes in inbred lines of chinese cabbage displaying minor variations in dark-green leaves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255825/
https://www.ncbi.nlm.nih.gov/pubmed/37299103
http://dx.doi.org/10.3390/plants12112124
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