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...
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MDPI AG
2022-05-01
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Online Access: | https://www.mdpi.com/1422-0067/23/11/6126 |
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author | Jiahui Liang Jing Zheng Ze Wu Hongqing Wang |
author_facet | Jiahui Liang Jing Zheng Ze Wu Hongqing Wang |
author_sort | Jiahui Liang |
collection | DOAJ |
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 <i>TFL1</i>, <i>SOC1</i>, and <i>GAI-like</i>, 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. |
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id | doaj.art-28f7109db3044a93aebfc90881ece475 |
institution | Directory Open Access Journal |
issn | 1661-6596 1422-0067 |
language | English |
last_indexed | 2024-03-10T01:14:54Z |
publishDate | 2022-05-01 |
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series | International Journal of Molecular Sciences |
spelling | doaj.art-28f7109db3044a93aebfc90881ece4752023-11-23T14:10:08ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-05-012311612610.3390/ijms23116126Time-Course Transcriptomic Profiling of Floral Induction in Cultivated StrawberryJiahui Liang0Jing Zheng1Ze Wu2Hongqing Wang3Department of Fruit Science, College of Horticulture, China Agricultural University, Beijing 100193, ChinaDepartment of Fruit Science, College of Horticulture, China Agricultural University, Beijing 100193, ChinaKey Laboratory of Landscaping Agriculture, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, Nanjing 210095, ChinaDepartment of Fruit Science, College of Horticulture, China Agricultural University, Beijing 100193, ChinaThe 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 <i>TFL1</i>, <i>SOC1</i>, and <i>GAI-like</i>, 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.https://www.mdpi.com/1422-0067/23/11/6126strawberryfloral inductionRNA-seqtranscription factorhormone |
spellingShingle | Jiahui Liang Jing Zheng Ze Wu Hongqing Wang Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry International Journal of Molecular Sciences strawberry floral induction RNA-seq transcription factor hormone |
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 | strawberry floral induction RNA-seq transcription factor hormone |
url | https://www.mdpi.com/1422-0067/23/11/6126 |
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