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Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry
The initiation and quality of flowering directly affect the time to market and economic benefit of cultivated strawberries, but the underlying mechanisms of these processes are largely unknown. To investigate the gene activity during the key period of floral induction in strawberries, time-course tr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181015/ https://www.ncbi.nlm.nih.gov/pubmed/35682808 http://dx.doi.org/10.3390/ijms23116126 |
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author | Liang, Jiahui Zheng, Jing Wu, Ze Wang, Hongqing |
author_facet | Liang, Jiahui Zheng, Jing Wu, Ze Wang, Hongqing |
author_sort | Liang, Jiahui |
collection | PubMed |
description | The initiation and quality of flowering directly affect the time to market and economic benefit of cultivated strawberries, but the underlying mechanisms of these processes are largely unknown. To investigate the gene activity during the key period of floral induction in strawberries, time-course transcriptome analysis was performed on the shoot apex of the strawberry cultivar ‘Benihoppe.’ A total of 7177 differentially expressed genes (DEGs) were identified through pairwise comparisons. These DEGs were grouped into four clusters with dynamic expression patterns. By analyzing the key genes in the potential flowering pathways and the development of the leaf and flower, at least 73 DEGs that may be involved in the regulatory network of floral induction in strawberries were identified, some of which belong to the NAC, MYB, MADS, and SEB families. A variety of eight hormone signaling pathway genes that might play important roles in floral induction were analyzed. In particular, the gene encoding DELLA, a key inhibitor of the gibberellin signaling pathway, was found to be significantly differentially expressed during the floral induction. Furthermore, the differential expression of some important candidate genes, such as TFL1, SOC1, and GAI-like, was further verified by qRT-PCR. Therefore, we used this time-course transcriptome data for a preliminary exploration of the regulatory network of floral induction and to provide potential candidate genes for future studies of flowering in strawberries. |
format | Online Article Text |
id | pubmed-9181015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91810152022-06-10 Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry Liang, Jiahui Zheng, Jing Wu, Ze Wang, Hongqing Int J Mol Sci Article The initiation and quality of flowering directly affect the time to market and economic benefit of cultivated strawberries, but the underlying mechanisms of these processes are largely unknown. To investigate the gene activity during the key period of floral induction in strawberries, time-course transcriptome analysis was performed on the shoot apex of the strawberry cultivar ‘Benihoppe.’ A total of 7177 differentially expressed genes (DEGs) were identified through pairwise comparisons. These DEGs were grouped into four clusters with dynamic expression patterns. By analyzing the key genes in the potential flowering pathways and the development of the leaf and flower, at least 73 DEGs that may be involved in the regulatory network of floral induction in strawberries were identified, some of which belong to the NAC, MYB, MADS, and SEB families. A variety of eight hormone signaling pathway genes that might play important roles in floral induction were analyzed. In particular, the gene encoding DELLA, a key inhibitor of the gibberellin signaling pathway, was found to be significantly differentially expressed during the floral induction. Furthermore, the differential expression of some important candidate genes, such as TFL1, SOC1, and GAI-like, was further verified by qRT-PCR. Therefore, we used this time-course transcriptome data for a preliminary exploration of the regulatory network of floral induction and to provide potential candidate genes for future studies of flowering in strawberries. MDPI 2022-05-30 /pmc/articles/PMC9181015/ /pubmed/35682808 http://dx.doi.org/10.3390/ijms23116126 Text en © 2022 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 Liang, Jiahui Zheng, Jing Wu, Ze Wang, Hongqing Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title | Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title_full | Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title_fullStr | Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title_full_unstemmed | Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title_short | Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry |
title_sort | time-course transcriptomic profiling of floral induction in cultivated strawberry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181015/ https://www.ncbi.nlm.nih.gov/pubmed/35682808 http://dx.doi.org/10.3390/ijms23116126 |
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