The transcriptomic (RNA-Sequencing) datasets collected in the course of floral induction in Chenopodium ficifolium 459 Article Swipe
David Gutiérrez‐Larruscain
,
Manuela Krüger
,
Oushadee A. J. Abeyawardana
,
Claudia Krüger
,
Petre I. Dobrev
,
Radomı́ra Vaňková
,
Kateřina Eliášová
,
Zuzana Vondráková
,
Miloslav Juříček
,
Helena Štorchová
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.dib.2022.108333
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.dib.2022.108333
The transition from vegetative growth to reproduction is the essential commitment in plant life. It is triggered by environmental cues (day length, temperature, nutrients) and regulated by the very complex signaling gene network and by phytohormones. The control of flowering is well understood in Arabidopsis thaliana and in some crops, much less is known about the other angiosperms. We performed the detailed transcriptomic survey of the course of floral induction in seedlings of Chenopodium ficifolium accession 459, a close relative of the important crop Chenopodium quinoa. It flowers earlier under short days (6 hours light) than under long days (18 hours light). Plants were sampled at the age 14, 18, 21 and 24 days in the morning and afternoon, both at long and short day, for RNA-Sequencing, and also for phytohormone analyses. We employed Illumina NovaSeq6000 platform to generate raw reads, which were cleaned and mapped against the de novo constructed transcriptome of C. ficifolium. The global gene expression levels between long and short days were pairwise compared at each time points. We identified differentially expressed genes associated with floral induction in C. ficifolium 459. Particular attention was paid to the genes responsible for phytohormone metabolism and signaling. The datasets produced by this project contributed to better understanding of the regulation of growth and development in the genus Chenopodium.
Related Topics
Concepts
Transcriptome
Biology
Chenopodium
Chenopodium quinoa
Arabidopsis thaliana
Gene
RNA-Seq
Botany
Deep sequencing
Accession number (library science)
Genetics
Gene expression
Genome
GenBank
Weed
Mutant
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.dib.2022.108333
- OA Status
- gold
- Cited By
- 4
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281630617
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281630617Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.dib.2022.108333Digital Object Identifier
- Title
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The transcriptomic (RNA-Sequencing) datasets collected in the course of floral induction in Chenopodium ficifolium 459Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-29Full publication date if available
- Authors
-
David Gutiérrez‐Larruscain, Manuela Krüger, Oushadee A. J. Abeyawardana, Claudia Krüger, Petre I. Dobrev, Radomı́ra Vaňková, Kateřina Eliášová, Zuzana Vondráková, Miloslav Juříček, Helena ŠtorchováList of authors in order
- Landing page
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https://doi.org/10.1016/j.dib.2022.108333Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.dib.2022.108333Direct OA link when available
- Concepts
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Transcriptome, Biology, Chenopodium, Chenopodium quinoa, Arabidopsis thaliana, Gene, RNA-Seq, Botany, Deep sequencing, Accession number (library science), Genetics, Gene expression, Genome, GenBank, Weed, MutantTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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