- Open Access
The oilseed rape developmental expression resource: a resource for the investigation of gene expression dynamics during the floral transition in oilseed rape
BMC Plant Biology volume 20, Article number: 344 (2020)
Transcriptome time series can be used to track the expression of genes during development, allowing the timing, intensity, and dynamics of genetic programmes to be determined. Furthermore, time series analysis can reveal causal relationships between genes, leading to an understanding of how the regulatory networks are rewired during development. Due to its impact on yield, a developmental transition of agricultural interest in crops is the switch from vegetative to floral growth. We previously reported the collection of genome-wide gene expression data during the floral transition in the allopolyploid crop Brassica napus (oilseed rape, OSR). To provide the OSR research community with easy access to this dataset, we have developed the Oilseed Rape Developmental Expression Resource (ORDER; http://order.jic.ac.uk).
ORDER enables users to search for genes of interest and plot expression patterns during the floral transition in both a winter and a spring variety of OSR. We illustrate the utility of ORDER using two case studies: the first investigating the interaction between transcription factors, the second comparing genes that mediate the vernalisation response between OSR and radish (Raphanus sativus L.). All the data is downloadable and the generic website platform underlying ORDER, called AionPlot, is made freely and openly available to facilitate the dissemination of other time series datasets.
ORDER provides the OSR research community with access to a dataset focused on a period of OSR development important for yield. AionPlot, the platform on which ORDER is built, will allow researchers from all fields to share similar time series datasets.
Brassica napus (oilseed rape; OSR) is an allopolyploid crop which represents the second largest global source of seed oil after soybean . The progression from vegetative to floral growth is an agriculturally important developmental transition in OSR. The genes involved in this transition in the model plant species Arabidopsis thaliana (Arabidopsis) are well characterised . Although Arabidopsis is in the same taxonomic family (Brassicaceae) as OSR, whole genome duplications have occurred in the Brassica lineage [3,4,5], resulting in multiple OSR orthologues of Arabidopsis genes, many of which have been retained. Determining whether, and how, the OSR orthologues of Arabidopsis flowering time genes have functionally diverged is necessary to translate knowledge from Arabidopsis to OSR.
In previous work we showed that changes in expression dynamics, particularly among genes associated with flowering, are a common evolutionary route for duplicated genes in OSR . This inferred regulatory divergence was assessed by RNA-Seq from tissue samples during the floral transition from both the apex and the leaf, giving rise to a comprehensive OSR transcriptome time series. Providing easy access for researchers in the Brassica community to explore and mine this dataset is the motivation for the development and description of the presented resource.
Repositories exist for expression data [7,8,9] but ease of access is frequently limited. To address this, query and analysis tools have been made available that can visualise many different experiments and experimental designs [10,11,12,13]. These tools facilitate meta-analysis of many disparate datasets, although consequently, the visualisations are often simplified. Other projects are narrower in their scope, providing a frontend to a single dataset. The “Electronic Fluorescent Pictograph” browser displays microarray data from a variety of Arabidopsis organs at many developmental stages  as a pictorial heatmap . This provides an intuitive method of interrogating this large dataset, albeit at the cost of flexibility in terms of the types of dataset that can be visualised in this way. The Brassica database, BRAD, is a repository of genetic data for Brassica crops , while synteny and gene homology data for many plant species is available as part of the Ensembl Plants database . Trait and genotype data can be submitted to the Brassica Information Portal, facilitating programmatic access to these data and enabling meta-analyses to be conducted . While these centralised repositories exist for Brassica crops, we are not aware of a resource or service that is currently suitable for the visualisation of time series gene expression data.
To query and visualise transcriptome time series datasets in an intuitive manner, we developed The Oilseed Rape Developmental Expression Resource (ORDER; http://order.jic.ac.uk). The database currently provides access to the dataset we have previously reported  and can readily be extended to similar datasets. Querying the database using gene identifiers from Arabidopsis and Brassica species finds all OSR genes exhibiting sequence similarity, allowing the expression of homologues to be compared. A sequence-based search function is also available, allowing the database to be queried using genes from species for which homology information is not available within ORDER.
To demonstrate the utility of the website, two case studies are discussed. The first uses adaptive plotting functions to compare the expression of OSR homologues of AGAMOUS-LIKE 24 (AGL24) and APETALA1 (AP1), identifying expression traces consistent with an antagonistic regulatory relationship between genes. The second uses the sequence similarity-based search function to compare the behaviour of FLOWERING LOCUS C (FLC) orthologues in radish (Raphanus sativus L.) to those in OSR. The platform on which ORDER is based, Aionplot, is freely available for download. AionPlot accepts arbitrary time series data, allowing researchers to set up resources like ORDER so users can access and plot datasets.
OSR developmental time series and ORDER interface
The transcriptome time series we used to study gene expression during development in OSR  represents a valuable data resource for the Brassica research community. The dataset contains genome-wide gene expression data from apex and leaf tissue collected before, during, and after the floral transition. Whilst our previous work reported only on a spring variety of OSR, we also collected material from a European winter variety, to allow the vernalisation response to be studied. We present ORDER as a resource to allow users to quickly and easily search this dataset to study the expression dynamics of their genes of interest.
The dataset can be searched using either sequence similarity to Arabidopsis or Brassica genes (Fig. 1), or sequence similarity to a user submitted sequence (Fig. 2). The OSR gene selected, or OSR genes exhibiting sequence similarity to the selected homologous gene, are displayed below the search box as a checklist (Fig. 1). Selecting one of these OSR genes will plot the corresponding expression profile. Additionally, hovering over each gene in the checklist displays the OSR chromosome the gene is located on. The two facets of the data can be manipulated by the user to facilitate comparisons between the two varieties and two tissues. Plotting expression traces for many homologues simultaneously on the graph can reduce the clarity of the plot. To mitigate this, the drawing of error bars can be toggled, and hovering over gene names in the plot legend highlights the expression trace of that gene in the graph. The interval of time plotted can be controlled with the slider located under the search box, to generate plots focused on a defined period of development. Finally, the generated plot image, the cDNA sequences of the selected genes, and a table of expression values can all be downloaded from this page.
ORDER currently contains homology mappings for published Arabidopsis [TAIR10 ], Brassica oleracea [Release 43 ], Brassica rapa [BRAD v3.0 [16, 20]], and OSR [Pantranscriptome ] gene models. To allow users to search based on homology to different gene models, ORDER contains a search tool that uses the BLAST algorithm  to identify OSR genes with sequences similar to a user submitted sequence (Fig. 2). To plot expression patterns of the genes that are identified by the algorithm, the user returns to the Search page and selects the checkboxes corresponding to the identified genes.
To compare the results identified using ORDER and previous publications, it is useful to determine where in the genome the genes are located. To facilitate this, ORDER generates an information table for the genes that are selected on the Search page (Fig. 3). This table contains the chromosome on which the genes are located, as well as their start and end positions on that chromosome. If applicable, the gene name used to query the database is displayed, along with the percentage sequence identity, sequence similarity score, and length of the sequence identified by the BLAST algorithm as being similar between the query gene or sequence. In addition, other genes identified as having sequence similarity to the selected OSR gene by the BLAST algorithm can be viewed. The colour of the rows in the sub-tables correspond to the best matching gene models within each set of gene models. If the OSR gene is the best match identified, or is a splice isoform of the best match, then the row will be coloured green or orange respectively. This colouration is also used on the Search page, to help determine the genes most likely to be homologues of the gene entered in the search box. Links to other community resources are integrated on this page. The OSR gene name is a hyperlink that takes the user to the position of the gene in a genome browser of the OSR genome , while the Arabidopsis and B. oleracea gene name hyperlinks take the user to the corresponding entry on The Arabidopsis Information Resource or Ensembl Plants respectively [17, 24]. In the following sections we demonstrate, through two case studies, the utility of ORDER for investigating aspects of flowering time regulation in OSR.
Case study 1: potential regulatory interactions between floral integrators
AGL24 is a known Arabidopsis floral integrator that is expressed in the vegetative meristem and promotes the floral transition [25, 26]. Mutants lacking AGL24 exhibit delayed flowering, while lines overexpressing the gene are early flowering [25, 26]. Plants overexpressing AGL24 also display a partial reversion of floral meristems into inflorescence shoots, suggesting that the gene helps to maintain the meristem in an inflorescent state . Thus, although the gene initially promotes the floral transition, expression of the gene has to be downregulated as the flower develops to prevent floral reversion . This repression is mediated directly by a second Arabidopsis floral integrator, AP1 [27,28,29].
To investigate the behaviour of AP1 and AGL24 in OSR, ORDER was used to plot the expression profiles of OSR homologues (BnAP1, BnAGL24). Within ORDER, eight gene models show homology to AP1 (Supplementary Table 1). Four copies of BnAP1 are similarly upregulated during the floral transition in the apex in both varieties (BnAP1.A7b, BnAP1.C6b [Fig. 4], BnAP1.A7a, BnAP1.C6a [Supplementary figure 1]), while BnAP1.A2.Random is upregulated in the apex to a much higher degree in Tapidor relative to Westar (Supplementary figure 1b). Comparing the copies of BnAP1 that are upregulated between varieties, a difference in timing is observed, with the expression increase beginning on day 65 of the time series for Westar and between day 72 and day 83 of the time series for Tapidor. This difference aligns well with the offset in developmental timing observed between the varieties (Supplementary figure 2). The remaining three copies are much more lowly expressed in comparison and show a slight expression response to vernalisation treatment (Supplementary figure 3). Four BnAGL24 gene models are identified, on chromosomes A1, A3, C1, and C7 (Supplementary Table 1). The expression profiles of the four genes can be categorised into two behaviours. BnAGL24.A3 and BnAGL24.C7 are both highly expressed before the vernalisation treatment, and remain at similar expression levels throughout the treatment (Fig. 4). After the treatment both copies decrease to similar levels, although the rate of decrease is slower in Tapidor relative to Westar (Fig. 4). This pattern of expression closely resembles the expression of AGL24 in Arabidopsis . The other two BnAGL24 genes, BnAGL24.A1 and BnAGL24.C1, show markedly different behaviour, increasing slightly during the vernalisation treatment, then rapidly increasing in expression post-treatment, followed by a decrease towards the end of the time series (Supplementary figure 4).
In order to compare the expression profiles of BnAP1 and BnAGL24, homologues of the two genes were visualised together with the ORDER plotting feature. For clarity, the two most highly expressed BnAP1 genes (BnAP1.A7b and BnAP1.C6b) and the two BnAGL24 genes expressed most similarly to Arabidopsis (BnAGL24.A3 and BnAGL24.C7) were plotted (Fig. 4). The post-vernalisation expression level of BnAP1.A7b and BnAP1.C6b increases concurrently with the decrease in expression of BnAGL24.A3 and BnAGL24.C7 in the apex of both varieties (Fig. 4). These expression profiles are consistent with the repression of BnAGL24 homologues by BnAP1, as findings from Arabidopsis would suggest [27,28,29]. That the expression level of the BnAGL24 genes begins to decrease before BnAP1 genes begin to increase in Tapidor suggests that other proteins may also be playing a role in the repression of BnAGL24 in OSR.
Case study 2: comparison of FLOWERING LOCUS C (FLC) orthologues from radish
Radish (Raphanus sativus L.) is a diploid plant grown as a root crop and, like OSR, is also a member of the taxonomic family Brassicaceae . Arabidopsis genes are expected to have multiple homologues in the radish genome, as the genome triplication event present in the evolutionary history of the Brassica lineage [3,4,5] is also shared with radish . Several lines of evidence suggest that aspects of the flowering time pathway are conserved between radish and Brassica species . In particular, three radish FLC orthologues (RsFLC1, RsFLC2, and RsFLC3) have been identified, all of which repress flowering when overexpressed in Arabidopsis . Expression of the RsFLC1 gene was also found to be higher in a late-bolting radish variety relative to an early-bolting variety, consistent with the role FLC plays in Arabidopsis and Brassica species .
In order to compare the RsFLC genes with those of OSR, the gene sequences for RsFLC1, RsFLC2, and RsFLC3 were used to query ORDER using the BLAST search feature. 18, 22, and 20 BLAST hits were identified within the ORDER database for RsFLC1, RsFLC2, and RsFLC3 respectively (Supplementary Table 2). In addition to BnFLC, OSR orthologues of the Arabidopsis genes MADS AFFECTING FLOWERING 1–4 and AGL6 were identified by the BLAST algorithm. However, the highest scoring BLAST hits for RsFLC1, RsFLC2, and RsFLC3 were all BnFLC genes, and these genes are therefore regarded as the corresponding orthologous OSR genes (Table 1).
All identified OSR orthologues were located on the A genome, consistent with the closer evolutionary relationship between radish and B. rapa . Interestingly, the three orthologous BnFLC genes appear to have diverged in their expression dynamics. Two of the three genes (BnFLC.A2 and BnFLC.A10) are more highly expressed before the cold treatment in both tissues in Tapidor compared to Westar (Fig. 5). During the cold treatment, expression of all three OSR FLC genes decreases, and remains lower than the starting levels after cold. This is consistent with BnFLC genes being epigenetically silenced as a result of cold exposure, as is the case in Arabidopsis . As Westar is a spring variety, and therefore does not require vernalisation to flower, the high expression of BnFLC.A3 before the cold treatment (at a level similar to that observed in Tapidor) suggests that repression of this FLC gene is not required for flowering. The behaviour of BnFLC.A10 is consistent with another study, that found the gene to be differentially expressed between winter and spring OSR varieties . As is observed for some Arabidopsis FLC alleles , BnFLC genes sometimes exhibit reactivation after cold. BnFLC.A3 expression partially recovers after the vernalisation treatment in the apex in both varieties, while a degree of reactivation is also observed for BnFLC.A2 and BnFLC.A10 in leaf tissue in Tapidor (Fig. 5). This may be due to the length of cold, or the severity of cold, not being sufficient to lead to complete epigenetic silencing of these genes. Alternatively, it may be due to the silencing of these BnFLC genes being transient, as is the case for FLC orthologues in perennial plants .
Since the advent of microarrays and RNA sequencing, many studies have collected gene expression data on a genome-wide scale across time. Although the data from these studies are deposited in online, public repositories, very few can be queried without a minimum amount of bioinformatics first being conducted to quantify gene expression levels. The objective of ORDER is to create a Brassica community resource to allow users to easily search for OSR genes of interest and plot expression profiles. ORDER provides access to developmental time series from two OSR varieties  and can be readily extended to include further datasets. To demonstrate the utility of ORDER for exploring the transcriptomic time series, two examples of using the website were outlined. Future developments to the website will be guided by user feedback and could for instance focus on further integration with other Brassica crop resources and improved tools for data analysis.
In addition to the community need for a gene expression visualisation tool for Brassica species, methods to disseminate time series data in an intuitive manner are lacking. ORDER is presented as a resource for the Brassica community, however, the underlying platform, AionPlot, is agnostic towards the time series data used to initialise the website. AionPlot therefore allows websites to be created for other time series datasets with ease.
The dual search functions allow full access to the dataset, allowing users to search using sequence similarity to Arabidopsis genes or to user submitted sequences. The organisation of the website is such that any time series data, regardless of origin, can be visualised using the website code underlying ORDER. That website code is provided to the community as the tool AionPlot.
Availability and requirements
Materials and methods
Plant growth, sample preparation, and gene expression quantification
Brassica napus cv. Westar and Brassica napus cv. Tapidor plants were grown as per the method described in Jones et al. (2018). Both varieties were sampled between BBCH stages 13 and 51 . For Westar, the first true leaf and shoot apex of each plant were sampled at 22, 43, 64, 65, 67, 69 and 72 days after sowing. Tapidor tissue was sampled at the same times except at day 69 after sowing, with an additional time point taken 83 days after sowing, to ensure that the same developmental period (BBCH stages 13 through 51) were represented for both varieties. Samples were prepared and gene expression levels were quantified using the methods previously published .
Availability of data and materials
The ORDER website may be accessed at the web address: http://order.jic.ac.uk. The transcriptomic data presented in ORDER is available in a format compatible with AionPlot from a Bitbucket repository (https://bitbucket.org/marc-jones/order-data-files). The raw reads have been deposited in the NCBI Sequence Read Archive under the BioProject numbers PRJNA398789 and PRJNA565743. All code for AionPlot is available from GitHub (https://github.com/marc-jones/aionplot) while Docker images are maintained in DockerHub (https://hub.docker.com/r/dmarcjones/aionplot-flaskapp).
Oilseed Rape Developmental Expression Resource
Oilseed Rape, Brassica napus
FLOWERING LOCUS C
EST: Oilcrops, oils and meals market assessment [Internet]. [cited 2017 Sep 6]. Available from: http://www.fao.org/economic/est/est-commodities/oilcrops/oilcrops-oils-and-meals-market-assessment/en/.
Srikanth A, Schmid M. Regulation of flowering time: all roads lead to Rome. Cell Mol Life Sci. 2011 Jun 1;68(12):2013–37.
Lysak MA, Koch MA, Pecinka A, Schubert I. Chromosome triplication found across the tribe Brassiceae. Genome Res. 2005 Apr;15(4):516–25.
Beilstein MA, Nagalingum NS, Clements MD, Manchester SR, Mathews S. Dated molecular phylogenies indicate a Miocene origin for Arabidopsis thaliana. Proc Natl Acad Sci U S A. 2010 Oct 26;107(43):18724–8.
The Brassica rapa Genome Sequencing Project Consortium, Wang X, Wang H, Wang J, Sun R, Wu J, et al. The genome of the mesopolyploid crop species Brassica rapa. Nat Genet. 2011 Oct;43(10):1035–9.
Jones DM, Wells R, Pullen N, Trick M, Irwin JA, Morris RJ. Spatio-temporal expression dynamics differ between homologues of flowering time genes in the allopolyploid Brassica napus. Plant J. 2018 Oct 1;96(1):103–18.
Barrett T, Edgar R. Gene expression omnibus (GEO): microarray data storage, submission, retrieval, and analysis. Methods Enzymol. 2006;411:352–69.
Kolesnikov N, Hastings E, Keays M, Melnichuk O, Tang YA, Williams E, et al. ArrayExpress update--simplifying data submissions. Nucleic Acids Res. 2015;43(Database issue):D1113–6.
Leinonen R, Sugawara H, Shumway M. The sequence read archive. Nucleic Acids Res. 2011 Jan;39(Database issue):D19–21.
Borrill P, Ramirez-Gonzalez R, Uauy C. expVIP: a customisable RNA-seq data analysis and visualisation platform. Plant Physiology. 2016;1:01667.2015.
Kapushesky M, Emam I, Holloway E, Kurnosov P, Zorin A, Malone J, et al. Gene expression atlas at the European bioinformatics institute. Nucleic Acids Res. 2010;38(Database issue):D690–8.
Kapushesky M, Adamusiak T, Burdett T, Culhane A, Farne A, Filippov A, et al. Gene expression atlas update—a value-added database of microarray and sequencing-based functional genomics experiments. Nucleic Acids Res. 2012 Jan;40(Database issue):D1077–81.
Petryszak R, Keays M, Tang YA, Fonseca NA, Barrera E, Burdett T, et al. Expression atlas update—an integrated database of gene and protein expression in humans, animals and plants. Nucleic Acids Res. 2016 Jan 4;44(Database issue):D746–52.
Schmid M, Davison TS, Henz SR, Pape UJ, Demar M, Vingron M, et al. A gene expression map of Arabidopsis thaliana development. Nat Genet. 2005 May;37(5):501–6.
Winter D, Vinegar B, Nahal H, Ammar R, Wilson GV, Provart NJ. An “electronic fluorescent pictograph” browser for exploring and analyzing large-scale biological data sets. PLoS One. 2007 Aug 8;2(8):e718.
Cheng F, Liu S, Wu J, Fang L, Sun S, Liu B, et al. BRAD, the genetics and genomics database for Brassica plants. BMC Plant Biol. 2011 Oct 13;11:136.
Kersey PJ, Allen JE, Allot A, Barba M, Boddu S, Bolt BJ, et al. Ensembl genomes 2018: an integrated omics infrastructure for non-vertebrate species. Nucleic Acids Res. 2018 Jan 4;46(D1):D802–8.
Eckes AH, Gubała T, Nowakowski P, Szymczyszyn T, Wells R, Irwin JA, et al. Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data. F1000Res [Internet]. 2017 Apr 12;6. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428495/.
Lamesch P, Berardini TZ, Li D, Swarbreck D, Wilks C, Sasidharan R, et al. The Arabidopsis information resource (TAIR): improved gene annotation and new tools. Nucleic Acids Res. 2011;40(D1):D1202–10.
Wang X, Wu J, Liang J, Cheng F, Wang X. Brassica database (BRAD) version 2.0: integrating and mining Brassicaceae species genomic resources. Database (Oxford) [Internet]. 2015 Nov 20 [cited 2019 Aug 12];2015. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653866/.
He Z, Cheng F, Li Y, Wang X, Parkin IAP, Chalhoub B, et al. Construction of Brassica a and C genome-based ordered pan-transcriptomes for use in rapeseed genomic research. Data in Brief. 2015 Sep;4:357–62.
Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, et al. BLAST+: architecture and applications. BMC Bioinformatics. 2009 Dec 15;10(1):421.
Chalhoub B, Denoeud F, Liu S, Parkin IAP, Tang H, Wang X, et al. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science. 2014 Aug 22;345(6199):950–3.
Berardini TZ, Reiser L, Li D, Mezheritsky Y, Muller R, Strait E, et al. The Arabidopsis information resource: making and mining the ‘gold standard’ annotated reference plant genome. Genesis. 2015 Aug;53(8):474–85.
Michaels SD, Ditta G, Gustafson-Brown C, Pelaz S, Yanofsky M, Amasino RM. AGL24 acts as a promoter of flowering in Arabidopsis and is positively regulated by vernalization. Plant J. 2003 Mar 1;33(5):867–74.
Yu H, Xu Y, Tan EL, Kumar PP. AGAMOUS-LIKE 24, a dosage-dependent mediator of the flowering signals. PNAS. 2002 Dec 10;99(25):16336–41.
Yu H, Ito T, Wellmer F, Meyerowitz EM. Repression of AGAMOUS-LIKE 24 is a crucial step in promoting flower development. Nat Genet. 2004 Feb;36(2):157–61.
Gregis V, Sessa A, Colombo L, Kater MM. AGAMOUS-LIKE24 and SHORT VEGETATIVE PHASE determine floral meristem identity in Arabidopsis. Plant J. 2008 Dec 1;56(6):891–902.
Liu C, Zhou J, Bracha-Drori K, Yalovsky S, Ito T, Yu H. Specification of Arabidopsis floral meristem identity by repression of flowering time genes. Development. 2007 May 15;134(10):1901–10.
Mitsui Y, Shimomura M, Komatsu K, Namiki N, Shibata-Hatta M, Imai M, et al. The radish genome and comprehensive gene expression profile of tuberous root formation and development. Sci Rep. 2015 Jun 9;5:10835.
Leijten W, Koes R, Roobeek I. Frugis G. Translating Flowering Time from Arabidopsis thaliana to Brassicaceae and Asteraceae Crop Species. Plants (Basel). 2018;7(4) [cited 2019 Aug 12] Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313873/.
Yi G, Park H, Kim J-S, Chae WB, Park S, Huh JH. Identification of three FLOWERING LOCUS C genes responsible for vernalization response in radish (Raphanus sativus L.). Hortic Environ Biotechnol. 2014 Dec 1;55(6):548–56.
Jung WY, Park HJ, Lee A, Lee SS, Kim Y-S, Cho HS. Identification of Flowering-Related Genes Responsible for Differences in Bolting Time between Two Radish Inbred Lines. Front Plant Sci [Internet]. 2016 [cited 2019 Aug 12];7. Available from: https://www.frontiersin.org/articles/10.3389/fpls.2016.01844/full.
Shindo C, Lister C, Crevillen P, Nordborg M, Dean C. Variation in the epigenetic silencing of FLC contributes to natural variation in Arabidopsis vernalization response. Genes Dev. 2006 Nov 15;20(22):3079–83.
Schiessl SV, Quezada-Martinez D, Tebartz E, Snowdon RJ, Qian L. The vernalisation regulator FLOWERING LOCUS C is differentially expressed in biennial and annual Brassica napus. Sci Rep. 2019 Oct 17;9(1):1–15.
Satake A, Kawagoe T, Saburi Y, Chiba Y, Sakurai G, Kudoh H. Forecasting flowering phenology under climate warming by modelling the regulatory dynamics of flowering-time genes. Nat Commun [Internet]. 2013 Aug 13 [cited 2014 Mar 13];4. Available from: http://www.nature.com/ncomms/2013/130813/ncomms3303/full/ncomms3303.html.
Lancashire PD, Bleiholder H, Boom TVD, Langelüddeke P, Stauss R, Weber E, et al. A uniform decimal code for growth stages of crops and weeds. Ann Appl Biol. 1991 Dec 1;119(3):561–601.
We thank the JIC Informatics Group, the NBI Computing Infrastructure for Science team, and the NBI Computing and Information Services team for their help securing, auditing, and hosting ORDER.
MJ acknowledges support from the John Innes Foundation for the JIC Rotation PhD Programme and from the Global Challenges Research Fund (BBS/OS/GC/200013B). RW and JI are grateful for support from BBSRC’s Institute Strategic Programme on Growth and Development (BB/J004588/1) and Genes in the Environment (BB/P013511/1). RM acknowledges support from BBSRC’s Institute Strategic Programme on Biotic Interactions underpinning Crop Productivity (BB/J004553/1) and Plant Health (BB/P012574/1). RM, RW, and JI were also supported by a BBSRC Strategic Longer and Larger Grant ‘BRAVO’ (BB/P003095/1). The funders had no role in the design of the study and collection, analysis, and interpretation of data.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Additional file 1: Figure S1.
Expression profiles of additional BnAP1 genes that increase in expression after the cold treatment. The expression values and the 95% confidence intervals of those expression values as computed by Cufflinks are displayed. In addition to the two BnAP1 genes that exhibit an increase in expression after the cold treatment in Fig. 4 in the main text (XLOC_034345 and XLOC_111357), this plot displays the expression profiles of the other three BnAP1 genes that display that behaviour. The bottom line of the legend has been added for consistency with the main text, and is not present on the visualisations generated by ORDER. a Expression profiles from both tissues are displayed. b Expression profiles from the apex only are displayed.
Additional file 2: Figure S2.
Cartoon of the developmental stages of Tapidor and Westar at each time point. Plant tissue was sampled on the days indicated by red dotted lines and numbers. The plant silhouettes represent the approximate number of full leaves at the indicated points in development, allowing the developmental stage of the plants to be estimated.
Additional file 3: Figure S3.
Expression profiles of lowly expressed BnAP1 genes. The expression values and the 95% confidence intervals of those expression values as computed by Cufflinks are displayed. The bottom line of the legend has been added for consistency with the main text, and is not present on the visualisations generated by ORDER.
Additional file 4: Figure S4.
Expression profiles of additional BnAGL24 genes. The expression values and the 95% confidence intervals of those expression values as computed by Cufflinks are displayed. In addition to the two BnAGL24 genes that exhibit a decrease in expression after the cold treatment in Fig. 4 in the main text (XLOC_015069 and XLOC_120000), this plot displays the expression profiles of the other two BnAGL24 genes. The bottom line of the legend has been added for consistency with the main text, and is not present on the visualisations generated by ORDER.
Additional file 5: Table S1.
Genomic location and homology information for all BnAP1 and BnAGL24 genes in the ORDER database. Except for the “Brassica napus gene name” column, this table represents the data available from the ORDER table view.
Additional file 6: Table S2.
Genomic location and homology information for all BLAST hits to RsFLC1, RsFLC2, and RsFLC3 identified in the ORDER database.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Jones, D.M., Olson, T.S.G., Pullen, N. et al. The oilseed rape developmental expression resource: a resource for the investigation of gene expression dynamics during the floral transition in oilseed rape. BMC Plant Biol 20, 344 (2020). https://doi.org/10.1186/s12870-020-02509-x
- Brassica napus
- Oilseed rape
- Time series
- Flowering time
- Floral transition