The transcriptomic (RNA-Sequencing) datasets collected in the course of floral induction in Chenopodium ficifolium 459
Status PubMed-not-MEDLINE Language English Country Netherlands Media electronic-ecollection
Document type Journal Article
PubMed
35677628
PubMed Central
PMC9167849
DOI
10.1016/j.dib.2022.108333
PII: S2352-3409(22)00535-2
Knihovny.cz E-resources
- Keywords
- Flowering, Gene expression, Oxidative stress, Photoperiod, Phytohormones,
- Publication type
- Journal Article MeSH
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.
Institute of Experimental Botany Czech Academy of Sciences Rozvojová 263 16502 Prague Czech Republic
See more in PubMed
Gutierrez-Larruscain D., Krüger M., Abeyawardana O.A.J., Belz C., Dobrev P.I., Vaňková R., Eliášová K., Vondráková Z., Juříček M., Štorchová H. The high concentrations of abscisic, jasmonic, and salicylic acids produced under long days do not accelerate flowering in Chenopodium ficifolium 459. Plant Sci. 2022;320 doi: 10.2139/ssrn.3994539. PubMed DOI
Štorchová H., Hubáčková H., Abeyawardana O.A.J., Walterová J., Vondráková Z., Eliášová K., Mandák B. Chenopodium ficifolium flowers under long days without upregulation of FLOWERING LOCUS T (FT) homologs. Planta. 2019;250:2111–2125. doi: 10.1007/s00425-019-03285-1. PubMed DOI
Song L., Florea L. Rcorrector: efficient and accurate error correction for illumina RNA-seq reads. GigaSci. 2015;4:48. doi: 10.1186/s13742-015-0089-y. PubMed DOI PMC
Kopylova E., Noé L., Touzet H. SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics. 2012;28:3211–3217. doi: 10.1093/bioinformatics/bts611. PubMed DOI
F. Krüger, F. James, P. Ewels, E. Afyounian, B. Schuster-Boeckler, FelixKrueger/TrimGalore: v0.6.7 - DOI via Zenodo (0.6.7), Zenodo (2021), doi:10.5281/zenodo.5127899. DOI
Haas B.J., Papanicolaou A., Yassour M., Grabherr M., Blood P.D. De Novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat. Protoc. 2013;8:1494–1512. doi: 10.1038/nprot.2013.084. PubMed DOI PMC
Fu L.M., Niu B.F., Zhu Z.W., Wu S.T., Li W.Z. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics. 2012;28:3150–3152. doi: 10.1093/bioinformatics/bts56. PubMed DOI PMC
D.H.Huson A.F.Auch, Qi J., Schuster S.C. MEGAN analysis of metagenomic data. Genome Res. 2007;17:377–386. doi: 10.1101/gr.5969107. PubMed DOI PMC
Seppey M., Manni M., Zdobnov E.M. BUSCO: Assesing genome assembly and annotation completeness. Kollmar M., editor. BUSCO: Assesing genome assembly and annotation completenessGene Prediction. 1962:227–245. doi: 10.1007/978-1-4939-9173-0_14. 2019. PubMed DOI
B.Li N.Fillmore, Bai Y., Collins M., Thomson J.A., Stewart R., Dewey C.N. Evaluation of de novo transcriptome assemblies from RNA-Seq data. Genome Biol. 2014;15:553. doi: 10.1186/s13059-014-0553-5. PubMed DOI PMC
Krüger M., Abeyawardana O.A.J., Krüger C., Juříček M M., Štorchová H. Differentially expressed genes shared by two distinct cytoplasmic male sterility (CMS) types of Silene vulgaris suggest the importance of oxidative stress in pollen abortion. Cells. 2020;9:2700. doi: 10.3390/cells9122700. PubMed DOI PMC
Patro R R., Duggal G., Love M.I., Irizarry R.A., Kingsford C. Salmon provides fast bias-aware quantification of transcript expression. Nat. Methods. 2017;14:417–419. doi: 10.1038/nmeth.4197. PubMed DOI PMC
Love M.I., Huber W., Anders S. Moderated estimation of fold changes and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. PubMed DOI PMC