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Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango

Mango (Mangifera indica L.) is famous for its sweet flavor and aroma. China is one of the major mango-producing countries. Mango is known for variations in flowering intensity that impacts fruit yield and farmers' profitability. In the present study, transcriptome and metabolome analyses of thr...

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Autores principales: Liang, Qingzhi, Song, Kanghua, Lu, Mingsheng, Dai, Tao, Yang, Jie, Wan, Jiaxin, Li, Li, Chen, Jingjing, Zhan, Rulin, Wang, Songbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330041/
https://www.ncbi.nlm.nih.gov/pubmed/35909785
http://dx.doi.org/10.3389/fpls.2022.933923
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author Liang, Qingzhi
Song, Kanghua
Lu, Mingsheng
Dai, Tao
Yang, Jie
Wan, Jiaxin
Li, Li
Chen, Jingjing
Zhan, Rulin
Wang, Songbiao
author_facet Liang, Qingzhi
Song, Kanghua
Lu, Mingsheng
Dai, Tao
Yang, Jie
Wan, Jiaxin
Li, Li
Chen, Jingjing
Zhan, Rulin
Wang, Songbiao
author_sort Liang, Qingzhi
collection PubMed
description Mango (Mangifera indica L.) is famous for its sweet flavor and aroma. China is one of the major mango-producing countries. Mango is known for variations in flowering intensity that impacts fruit yield and farmers' profitability. In the present study, transcriptome and metabolome analyses of three cultivars with different flowering intensities were performed to preliminarily elucidate their regulatory mechanisms. The transcriptome profiling identified 36,242 genes. The major observation was the differential expression patterns of 334 flowering-related genes among the three mango varieties. The metabolome profiling detected 1,023 metabolites that were grouped into 11 compound classes. Our results show that the interplay of the FLOWERING LOCUS T and CONSTANS together with their upstream/downstream regulators/repressors modulate flowering robustness. We found that both gibberellins and auxins are associated with the flowering intensities of studied mango varieties. Finally, we discuss the roles of sugar biosynthesis and ambient temperature pathways in mango flowering. Overall, this study presents multiple pathways that can be manipulated in mango trees regarding flowering robustness.
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spelling pubmed-93300412022-07-29 Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango Liang, Qingzhi Song, Kanghua Lu, Mingsheng Dai, Tao Yang, Jie Wan, Jiaxin Li, Li Chen, Jingjing Zhan, Rulin Wang, Songbiao Front Plant Sci Plant Science Mango (Mangifera indica L.) is famous for its sweet flavor and aroma. China is one of the major mango-producing countries. Mango is known for variations in flowering intensity that impacts fruit yield and farmers' profitability. In the present study, transcriptome and metabolome analyses of three cultivars with different flowering intensities were performed to preliminarily elucidate their regulatory mechanisms. The transcriptome profiling identified 36,242 genes. The major observation was the differential expression patterns of 334 flowering-related genes among the three mango varieties. The metabolome profiling detected 1,023 metabolites that were grouped into 11 compound classes. Our results show that the interplay of the FLOWERING LOCUS T and CONSTANS together with their upstream/downstream regulators/repressors modulate flowering robustness. We found that both gibberellins and auxins are associated with the flowering intensities of studied mango varieties. Finally, we discuss the roles of sugar biosynthesis and ambient temperature pathways in mango flowering. Overall, this study presents multiple pathways that can be manipulated in mango trees regarding flowering robustness. Frontiers Media S.A. 2022-07-14 /pmc/articles/PMC9330041/ /pubmed/35909785 http://dx.doi.org/10.3389/fpls.2022.933923 Text en Copyright © 2022 Liang, Song, Lu, Dai, Yang, Wan, Li, Chen, Zhan and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Liang, Qingzhi
Song, Kanghua
Lu, Mingsheng
Dai, Tao
Yang, Jie
Wan, Jiaxin
Li, Li
Chen, Jingjing
Zhan, Rulin
Wang, Songbiao
Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title_full Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title_fullStr Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title_full_unstemmed Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title_short Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango
title_sort transcriptome and metabolome analyses reveal the involvement of multiple pathways in flowering intensity in mango
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330041/
https://www.ncbi.nlm.nih.gov/pubmed/35909785
http://dx.doi.org/10.3389/fpls.2022.933923
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