- Research article
- Open Access
Genome-wide identification, characterization, and evolutionary analysis of flowering genes in radish (Raphanus sativus L.)
© The Author(s). 2017
- Received: 8 August 2016
- Accepted: 11 December 2017
- Published: 19 December 2017
Radish (Raphanus sativus L.) belongs to the family Brassicaceae, and is an economically important root crop grown worldwide. Flowering is necessary for plant propagation, but it is also an important agronomic trait influencing R. sativus fleshy taproot yield and quality in the case of an imbalance between vegetative and reproductive growth. There is currently a lack of detailed information regarding the pathways regulating the flowering genes or their evolution in R. sativus. The release of the R. sativus genome sequence provides an opportunity to identify and characterize the flowering genes using a comparative genomics approach.
We identified 254 R. sativus flowering genes based on sequence similarities and analyses of syntenic regions. The genes were unevenly distributed on the various chromosomes. Furthermore, we discovered the existence of R. sativus core function genes in the flowering regulatory network, which revealed that basic flowering pathways are relatively conserved between Arabidopsis thaliana and R. sativus. Additional comparisons with Brassica oleracea and Brassica rapa indicated that the retained flowering genes differed among species after genome triplication events. The R. sativus flowering genes were preferentially retained, especially those associated with gibberellin signaling and metabolism. Moreover, analyses of selection pressures suggested that the genes in vernalization and autonomous pathways were more variable than the genes in other R. sativus flowering pathways.
Our results revealed that the core flowering genes are conserved between R. sativus and A. thaliana to a certain extent. Moreover, the copy number variation and functional differentiation of the homologous genes in R. sativus increased the complexity of the flowering regulatory networks after genome polyploidization. Our study provides an integrated framework for the R. sativus flowering pathways and insights into the evolutionary relationships between R. sativus flowering genes and the genes from A. thaliana and close relatives.
- Raphanus sativus L.
- Flowering genes
- Regulatory pathway networks
Flowering is a necessary part of plant propagation, and the process from bolting to blooming is a crucial period for the transition of Brassicaceae plants from vegetative to reproductive growth. Comprehensively characterizing the regulatory mechanisms underlying bolting and blooming may enable researchers to influence the balance between vegetative and reproductive growth, which may ultimately affect the yield and quality of Brassicaceae crops.
Approximately 174 genes are believed to regulate flowering in the model plant Arabidopsis thaliana, which are involved in six major pathways [i.e., vernalization, photoperiod and circadian clock, ambient temperature, gibberellin (GA), age, and autonomous pathways] influencing the bolting or blooming process . Although different genes are responsible for different internal and environmentally mediated flowering pathways, the different pathways appear coordinated primarily by a few floral integrator genes, including FLOWERING LOCUS T (FT), LEAFY (LFY), and SUPPRESSOR OF OVEREXPRESSION OF CONSTANS1 (SOC1) . The recent completion of genome sequences and the development of novel computational analysis techniques have enabled the genome-wide identification and characterization of flowering genes in economically important plants. For example, 900 and 275 putative flowering genes in Triticum aestivum and Hordeum vulgare  respectively, 96, 98 and 304 flowering gene homologs in Lotus corniculatus var. japonicus, Medicago truncatula and Glycine max  separately, have been identified. The genes regulating bolting and flowering vary among different crops.
Raphanus sativus is a member of the family Brassicaceae, and is cultivated worldwide. It has recently undergone tetraploidization events (α and β) with A. thaliana, B. oleracea and B. rapa, as well as a whole genome triplication with B. oleracea and B. rapa following their divergence from A. thaliana [4, 5]. R. sativus has similar flowering habits to A. thaliana, B. oleracea, and B. rapa, with a highly variable flowering time and diverse responses to temperature and/or day length. Fifty flowering miRNAs targeting 154 transcripts , and 95 flowering genes differentially expressed between the vegetative and reproductive stages , have been identified in R. sativus. Additionally, 290 flowering genes have been detected in the R. sativus genome . However, little attention has been paid to their characteristics or evolution of the genes in different pathways regulating R. sativus flowering.
In this study, we systematically identified flowering genes in the R. sativus genome, and uncovered new details regarding the presence or absence of these genes. We also investigated dominant pathways as well as the evolutionary relationships and expression profiles among the flowering genes. Our findings may provide useful information and enlightenment for breeders to improve bolting and flowering in R. sativus and other Brassicaceae crops.
Details regarding the annotated A. thaliana genome were downloaded from the TAIR10 website (http://www.arabidopsis.org) . The R. sativus, B. rapa and B. oleracea genome assembly and gene annotation data were downloaded from the BRAD database (http://brassicadb.org/brad/) . Genomic data for Vitis vinifera, Populus trichocarpa, Carica papaya, and Thellungiella salsuginea were obtained from the Genoscope (http://www.genoscope.cns.fr/spip/), JGI Genome Portal (http://genome.jgi.doe.gov/), plantGDB (http://www.plantgdb.org/), and Omicslab (http://omicslab.genetics.ac.cn/resources.php) databases, respectively. R. sativus RNA-seq data  are available at EMBL/NCBI/SRA (PRJNA413464).The core eukaryotic genes were downloaded from CEGMA (http://korflab.ucdavis.edu/datasets/cegma/) .
Identification of flowering gene homologs in Raphanus sativus
We identified homologous genes using a combination of similarity- and synteny-based approaches. In the similarity-based approach, BLASTP searches were conducted against R. sativus protein sequences using the following conditions: E-value <1e-20, identity >50%, coverage >60%, and match length > 60 amino acids. In the synteny-based approach, SynOrths software (http://brassicadb.org/brad/downloadOverview.php), which determines whether two genes are a conserved syntenic pair based on sequence similarities and homologies of their flanking genes, was used to identify syntenic A. thaliana and R. sativus genes . We further defined homologous relationships among the similar and syntenic genes. Multiple gene sequences were aligned using CLUSTALW , and phylogenetic trees were constructed using the neighbor-joining method of the MEGA 6.0 software (1000 bootstrap replicates) . Putative homologous genes were manually checked on the phylogenetic trees.
Localization of flowering genes in the Raphanus sativus genome
To construct physical maps indicating the distribution of flowering genes, genome localization details for the predicted R. sativus flowering genes were collected from the annotation information. The MG2C (http://mg2c.iask.in/mg2c_v2.0/) program was used to visualize the putative flowering genes on nine pseudo-molecular chromosomes .
Flowering gene expression analysis based on RNA-seq data
We analyzed the transcriptomes of six different tissues (i.e., flowers, siliques, leaves, stem, callus, and roots) collected from R. sativus inbred line XYB36–2 . Transcript abundance was calculated according to the FPKM method (fragments per kilobase of exon per million mapped reads) using Cufflinks  and TopHat2 . Heatmaps were generated with the R package pheatmap .
Non-synonymous/synonymous substitution ratios of flowering gene pairs between Arabidopsis thaliana and Raphanus sativus
The non-synonymous/synonymous substitution ratio (Ka/Ks) of homologous gene pairs is related to the evolutionary selection patterns of the corresponding genome. In the calculation of Ka/Ks, The full length of amino acid sequences of the R. sativus and A. thaliana flowering genes underwent pairwise alignments using MUSCLE  firstly. Then, The aligned amino acid sequences were translated into the corresponding nucleotides coding sequences using PERL scripts. Finally, the translated nucleotides coding sequences were used as input files in computing Ka/Ks values using Li-Wu-Luo model  integrated in KaKs_Calculator2 software . All variable sites of the alignment pairs were used in the Ka/Ks calculation. To detect selection pressures, Ka/Ks ratios greater than 1, less than 1, and equal to 1 were considered to represent positive selection, negative or stabilizing selection, and neutral selection, respectively.
Identification of Raphanus sativus flowering genes
There are 174 genes, including 24 μ-RNA genes, with known functions affecting A. thaliana flowering time . We focused on the 160 protein-coding genes to identify homologous R. sativus flowering genes. We identified 254 R. sativus flowering genes (Additional file 1), and determined that most of the A. thaliana flowering genes have putative R. sativus homologs (139 out of 160). Homologs in the R. sativus genome were lacking for 21 genes, and most of these genes (15 of 21) have functionally redundant effects on flowering (Additional file 2). Interestingly, all of the lost genes (8 genes) which belonging to photoperiod pathway, circadian clock, and light signaling genes set have function redundant genes retained in R. sativus.
Distribution of Raphanus sativus flowering genes on pseudo-molecular chromosomes
Comparison of flowering genes from Arabidopsis thaliana, Brassica oleracea, Brassica rapa, and Raphanus sativus
Number of flowering genes in Arabidopsis thaliana, Raphanus sativus, Brassica oleracea, and Brassica rapa
Flowering pathways and their gene sets
Photoperiod pathway, circadian clock, light signaling
Gibberellin signaling and metabolism
Vernalization and autonomous pathways
Meristem response and development
Dominant pathways and key families of Raphanus sativus flowering genes
Photoperiod pathway, circadian clock, and light signaling
Plants can sense day length changes and use them to control the onset of flowering. We identified 101 R. sativus genes that were homologous to 58 A. thaliana genes of photoperiod pathway, circadian clock, and light signaling (Additional file 1).
CONSTANS (CO), which acts as a point of integration of the internal circadian clock and the external day-night cycles, plays a central role in photoperiodic flowering control of plants . In R. sativus, one copy was identified to be homologous of CO. Significantly, the genes involved in circadian clock including CCA1, LHY, TOC1, GI, CDF1 and LKP2 [27–30] were identified in R. sativus. LKP2 belongs to a family of F-box proteins, which also include ZTL and FKF1 . ZTL and FKF1 are both lost and LKP2 have three tightly linked copies in R. sativus, that are similar to that of B. rapa , suggesting the lose of ZTL and FKF1 and the local triplication event of LKP2 may have taken place in the common ancestor of R. sativus and B. rapa. In addition, CRY1, CRY2, PHYA, PHYB, PHYC, and PHYE being implicated in plant light signaling pathways  were identified in R. sativus.
Vernalization and autonomous pathways
Many plants growing in temperate climates require vernalization (i.e., prolonged exposure to low temperatures), which involves the silencing of FLC, to initiate or accelerate the flowering process . Similar to the genes of the vernalization pathway, genes in the autonomous pathway normally indirectly promote flowering by repressing the floral repressor FLC . FLC, which is a MADS-box gene, is the major flowering repressor in the vernalization pathway . Three FLC homologs were identified in R. sativus. As expected, most of vernalization-response genes including VIN3, VRN1, VRN2, FRI were also identified in this study [35–38]. Furthermore, in the FLC-independent vernalization pathway, prolonged exposure to cold conditions can elevate AGL19 and AGL24 expression levels, which can activate LFY and AP1 expression and eventually leads to flowering . The R. sativus contained three copies of AGL19 and two copies of AGL24.
Moreover, we also identified homologous genes in autonomous pathway, including LD, FCA, FY, FPA, FVE, FLD, and FLK. All autonomous genes are indirectly involved in inducing early flowering through the repression of FLC .
Gibberellin signaling and metabolism
The initiation of flowering in A. thaliana under non-inductive short-day conditions can be promoted by GA. There are 35 genes likely related to the GA pathway in R. sativus. The GA pathway genes are classified as those associated with GA biosynthesis (e.g., GA2ox, GA3ox, GA20ox ) and those acting as key signal transduction factors (e.g., SLY1, RGA, and GID1 ). Except for GAI, homologs of the all GA biosynthesis genes and transduction factors were retained in R. sativus. The GAI and RGA genes are members of the DELLA family, which repress GA-induced vegetative growth and floral initiation .
Meristem response and development
The onset of flowering is largely dependent on the expression of a relatively small number of central floral pathway factors that integrate signals from several related pathways during floral transitions . In our study, 38 R. sativus genes were identified as floral integrators or were associated with the flower meristem, including SOC1, FT, AP1, LFY, and FD. Jung et al. (2016) did not detect R. sativus LFY through transcriptomic analysis , while, we detect two copies, although they both little expressed, which indicated LFY may expressed in specific periods and tissues.
Differential retention of flowering genes in various species
Selection pressure on flowering pathway gene sets
Raphanus sativus Flowering gene expression analysis
To characterize the divergence in the expression patterns of homologous genes and confirm their involvement in flowering, we analyzed the expression of the putative R. sativus flowering genes. By comparing transcript abundances in roots, stem, leaves, flowers, siliques, and callus, we determined that the expression of 16 putative flowering genes was undetectable in all tissues (Additional file 5). Furthermore, transcripts for most of the expressed genes (183 of 254) accumulated in flowers (Additional file 5), with seven genes that were preferentially or specifically expressed in flowers. Four of these seven genes (i.e., LMI1, SPL4, SPL5, and TFL1) were related to meristem response and development. Besides, it was found that COP1 and VIL1, only have one copy in R. sativusand not expressed in all tissues. It seems that these genes have lost function in R. sativus.
In contrast to the phenotypic effects of vernalization, photoperiod, and GA on R. sativus flowering, which have been well studied , little is known about the mechanisms mediating the effects. To address this deficiency, we used a bioinformatics approach to analyze the R. sativus genes potentially involved in flowering. Based on studies of A. thaliana flowering genes, we identified 254 putative R. sativus flowering-like genes through a genome-wide comparative analysis. The number of flowering genes in R. sativus was slightly less than that in B. oleracea and B. rapa, which is reasonable considering the genome sizes of the three species [23, 24]. While, homologs for 21 A. thaliana flowering genes were not detected in the R. sativus genome and many of them have function redundant genes retained in R. sativus. The loss of these functionally redundant genes might be due to gene dosage imbalances [49, 50]. However, exactly why certain functionally redundant genes are lost during evolution is unclear. The lost flowering-related genes likely do not affect the core flowering pathways, considering R. sativus can still receive various endogenous and environmental cues that facilitate flowering.
Whole genome duplications and triplications are typically followed by a considerable loss of genes. However, the gene dosage hypothesis assumes that genes whose products participate in macromolecular complexes, signaling networks, or transcription in a dose-sensitive manner are over-retained, because an imbalance associated with the loss of one member of a complex or network is likely to decrease fitness [49–51]. Many B. rapa circadian clock genes have exhibited preferential retention . However, in this study, we observed that genes related to GA signaling and metabolism were preferentially retained over genes from other pathways. Additionally, genes from the photoperiod pathway, circadian clock, and light signaling gene sets or meristem response and development gene sets were also preferentially retained.
The results of our study suggest that basic flowering pathways are likely relatively conserved between A. thaliana and R. sativus. Three R. sativus FLC homologs were identified in this study, which is consistent with the findings of a transcript-level analysis by Yi et al. (2014), and their functions in transgenic A. thaliana have been examined . Jung et al. (2016) also did not detect R. sativus FRI homologue through RNA-seq, while we identified two copies and both expressed . The existence and expression of FLC and FRI in R. sativus indicate that the FLC/FRI mode of action on vernalization is conserved, as are the components of the autonomous pathway . Previous study reported that the genes in the vernalization pathway are not conserved between dicotyledonous and monocotyledonous plant species [2, 54]. Based on the Ka/Ks ratios, we determined that the sequences of genes related to vernalization pathway were more variable than that of other pathways between R. sativus and A. thaliana, which indicated vernalization gene sequences also exhibit great sequence diversity among dicotyledon plants. The variation of the vernalization gene sequences may contribute to the rapidly evolutionary capacity in changing thermal requirement to flowering in R. sativus .
Two FT homologs and one copy of CO were identified in R. sativus. This suggests a CO-FT module exists in R. sativus, which implies the photoperiod pathway control over flowering evolutionarily conserved in R. sativus and A. thaliana to a certain extent. In the dark, CO would be efficiently ubiquitinated by the COP1 E3 ligase complex and degraded, which contributed to late flowering in short days [56, 57]. The lost function of COP1 may suggest that CO would not be degraded in dark in R. sativus, which seems to be the reason for that R. sativus can flower in both short and long day.
We identified 254 putative flowering genes during a comparative genome analysis, and classified them into four flowering regulatory pathway gene sets in R. sativus. We also comprehensively analyzed the loss, presence, and variation of different pathway genes as well as the expression patterns of the flowering genes in R. sativus. Our results reveal that the flowering regulatory network is conserved between R. sativus and A. thaliana to a certain degree. The flowering-related genes were preferentially retained, especially those associated with GA signaling and metabolism. Furthermore, most of the R. sativus flowering genes lost during evolution were functionally redundant, possibly because of gene dosage imbalances. Moreover, analysis of selection pressures indicated that the vernalization and autonomous pathway genes are the most variable in R. sativus. Besides, The function loss of COP1 seems that photoperiod pathway can promote flowering in both short and long day in R.sativus.
In summary, our results further systematic and comprehensive understanding of the flowering regulatory molecular networks that evolved after a whole genome triplication event in R. sativus, which will be beneficial for breeders aiming to improve and regulate these processes in R. sativus and other Brassicaceae species.
This work was supported by grants from the National Key Research and Development Plan of the Ministry of Science and Technology of the People’s Republic of China (2013BAD01B04, 2016YFD0100204–02), 863 program (2012AA021801–04), and the Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-XTCX2016017, CAAS-XTCX2016016–4-4, CAAS-XTCX2016001–5-3).
Availability of data and materials
All data generated or analyzed during this study are included in this article and its supplementary information files. The raw reads of RNA-seq have been deposited in the NCBI Sequence Read Archive (SRA) database (BioProject PRJNA413464). The R. sativus genome data can be download from BRAD database (http://brassicadb.org/brad/).
XL conceived the project and revised the manuscript. JW designed and performed experiments, analyzed the data and wrote the manuscript. YQ, FC, XC, XZ, HW, JS, MD, and HY participated in experiments and analyzed the data. All authors read and approved the final manuscript.
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