Abstract
Key enzymes play a vital role in plant growth and development. However, the evolutionary relationships between genes encoding key enzymes in the metabolic pathway of Tartary buckwheat flavonoids are poorly understood. Based on the published Tartary buckwheat genome sequence and related Tartary buckwheat transcriptome data, 48 key enzyme-encoding genes involved in flavonoid metabolism were screened from the Tartary buckwheat genome in this study; the chromosome localization, gene structure and promoter elements of these enzyme-encoding gene were also investigated. Gene structure analysis revealed relatively conserved 5′ exon sequences among the 48 genes, indicating that the structural diversity of key enzyme-encoding genes is low in Tartary buckwheat. Through promoter analysis, these key enzyme-encoding genes were found to contain a large number of light-response elements and hormone-response elements. In addition, some genes could bind MYB transcription factors, participating in the regulation of flavonoid biosynthesis. The transcription level of the 48 key enzyme-encoding gene varied greatly among tissues. In this study, we identified 48 key enzyme-encoding genes involved in flavonoid metabolic pathways, and elucidated the structure, evolution and tissue-specific expression patterns of these genes. These results lay a foundation for further understanding the functional characteristics and evolutionary relationships of key enzyme-encoding genes involved in the flavonoid metabolic pathway in Tartary buckwheat.
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Introduction
Tartary buckwheat is a special grain plant that is rich in flavonoids such as rutin and has anti-diabetic and anti-inflammatory biological activity. Anthocyanins confer a desirable colour on Tartary buckwheat buds, and they have strong antioxidant activity. Therefore, Tartary buckwheat has become a nutritious and healthy crop favoured by consumers, and its flavonoid metabolism has also become a hot research topic. Flavonoids are secondary metabolites necessary for plant growth and possess multiple functions, including involvement in protection against biological and abiotic stresses, plant flower colour formation and stress resistance (Blount et al. 1992; Koes et al. 1994; Misra et al. 2010a, b). Flavonoids are products of the phenylalanine metabolic branch pathway. The phenylpropanoide metabolic pathway begins with phenylalanine, which is produced by coumaryl coenzyme A via catalysed by phenylalanine ammonia-lyase. In the presence of chalcone synthase, β-coumaryl CoA and 3-malonyl CoA are combined to produce chalcone (Dare et al. 2013), and this condensation reaction is a key step in the downstream flavonoid formation pathway (Holton and Cornish 1995).Chalcone is then used by the isoflavone reductase-like enzyme to form the isoflavone branch. The biosyntheses of flavonoids and anthocyanins occur downstream of the flavonoid metabolic pathway, and the final product by the corresponding enzymes is rutin and anthocyanin (Grotewold et al. 1991; Lepiniec et al. 2006) (Fig. 1).
Most of the enzyme-encoding genes involved in the flavonoid metabolic pathway of Tartary buckwheat have been cloned and characterized, including CHS, CHI, F3H, DFR, ANS and FLS (Park et al. 2004; Kobayashi et al. 1998; Laura et al. 2002; Yoshikazu et al. 1996). However, the overall structural characteristics of these enzyme-encoding genes and other features of in Tartary buckwheat are limited. Tartary buckwheat genome sequencing has provided a good opportunity for whole-genome level for research of the tissue, expression and evolutionary characteristics of enzyme-encoding genes and their homologues involved in the flavonoid metabolic pathway (Zhang et al. 2017). In this study, we describe in detail the exon–intron structure, protein motif composition, chromosome position, promoter composition and tissue expression specificity of 48 key enzyme-encoding genes. In addition, phylogenetic relationships between key enzyme-encoding genes involved in flavonoid metabolism in Arabidopsis, sugar beet, rice, soybean and grape were compared. In general, comprehensive mining of key enzyme-encoding genes in the flavonoid metabolic pathway is very important for understanding the tissue expression and evolutionary characteristics of enzyme-encoding genes, providing a theoretical basis for clarifying the regulation of the rutin and anthocyanin biosynthesis metabolic network in Tartary buckwheat.
Materials and Methods
Identification of Structural Genes Involved in the Flavonoid Metabolic Pathway
We downloaded buckwheat genomic data from an online source: http://www.mbkbase.org/Pinku1/. Enzyme-encoding genes with specific biological functions in the metabolic pathway of Tartary buckwheat flavonoids were used as seed sequences. The sequences of these genes were obtained by a two-step BLASTP search (Liu et al. 2019).
Sequence Analysis
The open reading frames of enzyme-encoding genes in the flavonoid metabolic pathway of Tartary buckwheat were predicted using the ORF Finder program (https://www.ncbi.nlm.nih.gov/orffinder/), and the ORFs were translated into amino acid sequences by with online software TBtools (Chen et al. 2020). Conserved structures of the translated amino acid sequences were identified by the SMART program (http://smart.embl-heidelberg.de/). Finally, the characteristic domain of the queried gene sequence was determined using the CDD website (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi), and the sequence length, molecular weight (MW) and isoelectric point (pI) of the enzymes were analysed via ExPASy (https://web.expasy.org/compute_pi/). Transmembrane domains (http://psort1.hgc.jp/form.html), signal peptides (http://www.cbs.dtu.dk/services/SignalP-3.0/) and subcellular localizations were also examined (https://www.genscript.com/psort.html).
Analysis of Enzyme-Encoding Gene Structure
To examine the structural characteristics of the genes encoding in the flavonoid metabolic pathway, we first analysed the structural exons-intron composition using software TBtools. Protein motifs were valuated using MEME software with the following optimized default parameters: motif width, 6–50 number, 25 (Bailey et al. 2009).
Chromosome Location, Gene Duplication and Evolutionary Analysis of Major Enzyme-Encoding Genes
With the help of the annotation file of the Tartary buckwheat genome, the distribution of genes encoding enzymes in the flavonoid metabolic pathway of Tartary buckwheat was analysed with TBtools. By referring to the Tartary buckwheat genomic data, we determined the length distribution of the chromosomes via Linux operating system commands. Circos was then employed to locate the 48 major enzyme-encoding genes on the chromosomes. We applied MCScanX (default parameters) to examine gene duplication. We also analysed homology of the major enzyme-encoding genes between Tartary buckwheat and five other plants species using Dual Synteny Plotter.
Analysis of Candidate Enzyme-Encoding Gene Promoters
Gene expression is related to structure and is regulated by the promoter. Therefore, we used the PlantCARE online database to analyse promoter elements of the candidate genes (Magali et al. 2002); cis-acting elements were visualized via the GSDS website (http://gsds.cbi.pku.edu.cn/).
Analysis of Gene Expression
According to transcriptomic data of different tissues (roots, stems, leaves and flowers) of Tartary buckwheat tested in our laboratory (unpublished), tissue-specific expression of genes encoding enzymes in the flavonoid metabolic pathway of Tartary buckwheat was assessed with TBtools. Gene expression is expressed as FPKM (reads per kilobase of exon per million mapped reads) values.
Identification of Tissue-Specific Expression of Enzyme-Encoding Genes via Real-Time PCR
Tartary buckwheat ‘Xiqiao No. 2′ was grown under field conditions at a farm at Baoxing, Ya'an, Sichuan. When the plants reached the full flowering stage, roots, stems, leaves and flowers were collected and treated with Sample Protector for RNA/DNA (Takara, China); the samples were then stored at – 80 °C until used for total RNA extraction and transcriptome sequencing. Total RNA from the four tissues was extracted using the RNAout kit (Tiandz, China) according to the manufacturer's procedure. First, the CDSs of structural genes were obtained from the Tartary buckwheat genomic database, and RT-qPCR primers were designed using the Primer3.0 online program (http://bioinfo.ut.ee/primer3/) (Table S1). Tissue-specific expression of the enzyme-encoding genes was verified by quantitative real-time PCR using the Tartary buckwheat histone H3 gene as a reference. The qPCR using SYBR Premix Ex Taq II (TaKaRa) was repeated at least three times, and the data were analysed by the 2−(∆∆Ct) method (Livak and Schmittgen 2001) to obtain related mRNA expression data.
Statistical Analysis
All analyses were performed at least three times. qRT-PCR result data were statistically evaluated using SPSS V20.0 (IBM, USA). Significant differences were confirmed with ANOVA tests and Fisher’s protected least-significant difference (LSD) tests at the 0.05 probability level.
Results
Identification of Flavonoid Metabolic Enzyme-Encoding genes in Tartary Buckwheat
A total of 48 candidate enzyme-encoding genes involved in the Tartary buckwheat flavonoid metabolic pathway were identified by means of a two-step BLAST comparison (Table S2). These 48 candidates included 10 CHS, 8 C4H and 7 IRL genes, which were the most numerous, followed by 5 each PAL and FLS genes. We also detected two 4CL, F3H, F3′H, CHI and DFR genes, and one ANS, ANR and F3′5′H gene (Table 1). The basic information of the 48 candidate enzyme-encoding genes is shown in detail in Table 1, including the predicted pI, MW, subcellular localization, transmembrane domain and signal peptide. We also translated the CDSs of the 48 candidate genes into protein sequences. Among them, the smallest protein is FtCHS5 with 64 aa; the largest protein is FtPAL1 with 722 aa. The MWs range from 7.30 to 78.38 kDa and the pIs from 4.86 (FtCHI1) to 10.38 (FtPAL5). Through subcellular mapping analysis, 19 of the encoded proteins are predicted to localize to the endoplasmic reticulum (membrane), 14 to the cytoplasm, 5 to the nucleus, 1 to the plasma membrane, 5 to microbodies (peroxisome), and the others to the mitochondrial matrix space. This diversity of subcellular localization indicates that these structural genes in Tartary buckwheat have a variety of biological functions. Based on transmembrane domain analysis of the 48 genes encoding key enzymes, only four of the proteins (FtCHS5, FtC4H5, FtF3′H2, FtANS) contain one transmembrane domain, whereas the others have no transmembrane domain. Finally, signal peptide analysis revealed signal peptides for only 12, with the other 36 having no signal peptide.
Chromosomal Location and Synteny Analysis of Major Enzyme-Encoding Genes
The 48 candidate genes are distributed on 8 chromosomes of Tartary buckwheat. As illustrated in the chromosome map, the 48 structural genes are mainly distributed on chromosomes Ft1, Ft2, Ft5, Ft7 and Ft8. It is worth noting that FtPAL3 and FtPAL5, FtCHS1 and FtCHS7, FtIRL2 and FtIRL7, FtIRL4 and FtIRL5, FtFLS1 and FtFLS2 are present in the form of tandem repeat genes. Some genes with the same function are distributed on different chromosomes, which have a positive effect on the evolution or expansion of a gene family (Fig. 2). To analyse duplication events, collinearity analysis of the 48 key enzyme-encoding genes was performed using MCScanX software. Four pairs of fragment duplication genes were found within the 48 major enzyme-encoding genes. These fragment duplication genes were the most common on chromosome 1, followed by chromosome 8; no fragment duplication gene pairs were found on chromosomes 4, 5, 6 or 7 (Fig. 3).
To further explore evolutionary relationships of Tartary buckwheat genes encoding enzymes involved in flavonoid metabolism, we performed collinear relationship analysis with four dicotyledonous plants species (Arabidopsis thaliana, sugar beet, soybean and grape) and one monocotyledonous plant species (rice). A total of 30 key enzyme-encoding genes in the Tartary buckwheat flavonoid metabolic pathway displayed a syntenic relationship with those of soybean, followed by grape (19), beet (9), Arabidopsis (7) and rice (3). Tartary buckwheat chromosome 1 and chromosome 7 exhibit the most homologous gene pairs with those of the other species (Fig. 4).
Tartary buckwheat and soybean exhibits the most collinear blocks, which may indicate a crucial role for the buckwheat flavonoid-related enzyme gene family in the evolution Tartary buckwheat. In contrast, rice shares fewer than 5 colinear gene pairs, which may be associated with the phylogenetic relationship between these species.
Structure and Composition of Enzyme-Encoding Genes in the Flavonoid Metabolic Pathway
To analyse the gene structure of the 48 candidate genes in flavonoid metabolic pathway, the genomic DNA sequences of the genes were compared, and the composition of intron-exons was analysed. The coding sequences of the 48 genes are interrupted by introns, and 12 structural genes have two exons and one intron. The number of exons of other genes ranges from 3 to 6. It is worth noting that there is only one exon at the 3′ end of FtCHS5, with no corresponding intron (Fig. 5). We speculate that the incomplete FtCHS5 sequence may be due to the buckwheat genome annotation. Nevertheless, the exons and introns of highly homologous structural genes from the same family present the same distribution and have conserved characteristic regions.
Motif Composition of Structural Genes in the Flavonoid Metabolic Pathway
To evalute the characteristic regions, the protein motifs of the 48 candidate genes were analysed via the MEME website, and the resulting motifs were drawn using TBtools.
Based on this analysis, the proteins of the same family display a similar motif composition, and such similar motifs indicate protein structure conservation that the structure of the proteins is conserved within a particular family. To some extent, the catalytic function of these structural genes is determined by conserved domains. Five FtPAL genes contain motifs 15, 25, 17, 24, 14, 8 and 13. FtF3′H has six conserved motifs: 19, 18, 10, 7, 5 and 8. FtFLS and FtANS have two conserved motifs. FtDFR has only one motif, and FtANR contains motifs 17 and 14 (Fig. 6).
Analysis of Upstream cis-Acting Elements
The basic building blocks of gene promoters are cis-regulatory DNA elements. In eukaryotes, clusters of cis-regulatory elements usually regulate gene expression by interacting with trans-acting factors, thus, altering metabolic flow through the flavonoid metabolic pathway. Plant cis-regulatory motifs are often reported as consensus sequences and are usually described by reporter gene expression analyses. Of note, we detected light-response elements in the promoter of each enzyme-encoding gene (Fig. 7). Hormone-response elements are also present. For example, abscisic acid (ABA) response elements (ABREs), gibberellin response elements, ethylene response elements (EREs), salicylic acid (SA) response elements, methyl jasmonate response elements, and auxin response elements are found in the promoters of the candidate genes. Among them, salicylic acid response elements are rarely reported in the study of enzyme-encoding genes but provide new avenues for future research. In addition, several CREs associated with abiotic stress responses were found in these candidate gene promoters (Fig. 7), including low-temperature-response elements in the promoters of 17. The promoters of 9 contain MYB-binding sites and participate in the regulation of flavonol biosynthesis pathway genes. The promoters of five structural genes contain MYB-binding sites participate in the response to light and drought. The promoters of 19 structural genes contain cis-acting elements involved in defence and stress responses. Finally, it is worth noting that the promoters of both FtCHS8 and FtCHI1 have a wound-response element, warranting further study. The details of the promoter elements are shown in Table 2.
Expression Pattern of Structural Genes in the Tartary Buckwheat Flavonoid Metabolic Pathway
Based on the Tartary buckwheat genome database and tissue-specific transcriptome data for Tartary buckwheat, we analysed the expression patterns of these candidate flavonoid metabolism genes in roots, stems, leaves and flowers. Our results showed significant differences in expression of 32 structural genes, with most exhibiting obvious tissue specificity. Compared with other tissues, FtCHS8 and FtC4H6 had the highest expression in roots and expression of Ft4CL2, FtPAL4 and FtPAL1 was higher in roots than in flowers and stems. FtANR and FtFLS2 were mainly expressed in roots and flowers. FtFLS1 was not expressed in roots but was significantly expressed in other tissues. FtCHS4 was specifically expressed in flowers and stems, suggesting that some of these key enzyme-coding genes have multiple functions during the growth and development of Tartary buckwheat. Only one gene (FtCHS1) was highly expressed in root, stem, leaf and flower tissues of Tartary buckwheat, and the expression level was stable. Furthermore, expression of five of the genes (FtFLS1, FtCHS4, FtC4H8, FtCHS1 and FtF3H2) was higher in the stems, leaves and flowers than in roots, indicating that these genes play an important role in the maturation of Tartary buckwheat (Fig. 8).
To further study the tissue-specific expression of structural genes involved in the Tartary buckwheat flavonoid metabolic pathway, expression of 32 structural genes was measured by real-time quantitative PCR, and the results are depicted in Fig. 9.
Discussion
Tartary buckwheat, a small miscellaneous grain rich in flavonoids, has both nutritional value and health benefits, and regulation of the biosynthesis and metabolism of the components of this species has become a new research focus (Bankevich et al. 2012; Krkoskova and Mrazova 2005; Ohsako et al. 2002). Flavonoids are the most important biologically active components of Tartary buckwheat (Liu and Zhu 2007). For example, rutin accounts for 70–85% of the total flavonoid content and is mainly distributed in the leaves (3%) and grains (0.8–1.7%) of Tartary buckwheat (Fabjan et al. 2003). Flavonoids are secondary metabolites in plants (Misra et al. 2010a, b). These compounds are derived from the flavonoid synthesis pathway of the downstream branch of the flavonoid metabolic pathway and are jointly regulated by a variety of key enzymes and transcription factors (Tian et al. 2015). Therefore, the screening and identification of major genes encoding enzymes involved in the flavonoid metabolic pathway lay a foundation for increasing the flavonoid content, with important academic significance and application value.
It is greatly important that gene tandem and segmental replication can enrich protein function and promote the evolution and expansion of gene families. In plants, the expansion of gene families caused by tandem genes and fragment replication is ultimately very important for the evolution of functional diversity (Cannon et al. 2004; Lynch and Conery 2000; Otto and Yong 2002). Tandem repeats of genes are often caused by gene clusters (Mayerhofer et al. 1995). According to the results of the present study, it is worth noting that the CHS (FtPinG0000552100.01 and FtPinG0000551800.01) and FLS (FtPinG0006907100.01 and FtPinG0006907000.01) are repetitive. In Arabidopsis, AtFLS2-5 are tandemly duplicated genes distributed on chromosome 5 (Owens et al. 2008). Therefore, we speculate that the evolution of CHSs and FLSs is largely driven by such gene duplication events. Nonetheless, genes of the same family are also distributed on different chromosomes, and we speculate that this may be one of the reasons for expansion of a gene family.
Gene transcriptional regulation is a very intricate process that involves multiple proteins binding to cis-regulatory elements present in a sequence-specific way in the promoter region. In our research, we have found that many key enzyme-encoding genes contain light-response elements, including I-boxes (Donald and Cashmore 1990), G-boxes (Giuliano et al. 1988), GT1-motifs (Gao et al. 2004), GATA-motifs (Gerardo and Luis 1998) among others. These elements may be essential for light-mediated transcriptional activity. Under dark conditions, expression of FtPAL, Ft4CL, FtC4H, FtCHI, FtF3H, FtF3′H1 and FtFLS1 is significantly upregulated in Tartary buckwheat, and the content of rutin and anthocyanins in hairy roots increases significantly (Thwe et al. 2014). Overall, a large number of light-response elements in the promoters of key enzyme-encoding genes would promote their expression. In our study, 7 of the candidate gene promoters were found to contain motifs that control circadian rhythm (Table 2). In higher plants, expression of most genes is regulated in a circadian manner. Hormones also act as important key regulators of the process of plant growth and development, and elements responsive to ABA, auxin, JA and SA were found in the promoters of the candidate key enzyme-encoding genes. This indicates that hormones are vital for the regulation of genes encoding key enzymes in flavonoid metabolism. Liu et al. (2018) studied FtARF gene expression by spraying different concentrations of NAA solution at the bud stage, and the results revealed a positive response of FtARF to auxin during fruit development. Additionally, Li et al. (2013) applied exogenous ABA and SA to buckwheat buds, and found that both inhibited the transcription of FtFLS1; in contrast, ABA did not affect FtFLS2 transcription, and SA upregulated that of FtFLS2. According to our research, expression of key genes involved in flavonoid metabolism may be induced by abiotic stress and transcription factor binding to cis-regulatory elements present in the promoters.
Based on comparison the results of RNA-Seq and qPCR, the tissue-specific expression patterns of most of the genes were the same, except for a few, including Ft4CL1, Ft4CL2, FtC4H8 and FtFLS2 (Fig. 9). Our analysis may be that different detection methods lead to discrepancies in the detection system causing the above changes. Of the genes detected, FtC4Hs exhibited the highest expression in roots and stems, FtANS in roots, FtF3′H in stems and leaves, and FtF3H in stems and flowers. These findings are consistent with the view of Park et al. (2011). In addition, Li et al. (2012) cloned a PAL gene from Tartary buckwheat, and semiquantitative reverse transcription-PCR (RT-PCR) analysis showed that FtPAL was most highly expressed in the stem during the florescence period, Li et al. (2013) also identified the expression levels of FtFLS1 and FtFLS2 in the Tartary buckwheat cultivars 'Hokkai T10′ and 'Hokkai T8′ by quantitative real-time PCR, reporting that FtFLS1 expression levels in flowers were higher than in other tissues and that FtFLS2 showed the highest expression in 'Hokkai T10′ roots. Moreover, overexpression of FLS1 in Arabidopsis not only changed the colour of the seed coat (resulting in a light-brown colour), but also affected the accumulation of flavonoids (Nguyen et al. 2016). Jiang et al. (2020) also found that high expression of CHS enhanced the accumulation of flavonoids in Perilla frutescens, as based on transcriptome and metabolome analyses. Hence, we suggest that the tissue-specific expression of the above key enzyme-encoding genes may be due to the existence of tissue-specific promoters. The results of this research can be employed to further study the biosynthesis of flavonoids and metabolic engineering in Tartary buckwheat.
Conclusion
In our study, 48 major genes encoding enzymes in the metabolic pathway of Tartary buckwheat flavonoids were screened and identified. Through analysis exons and introns, conserved proteins motifs, cis-acting elements and evolutionary relationships, the results provide a basis for further examining the biological functions of these 48 genes. In addition, tissue-specific expression analysis of the genes revealed that some show broad expression but that the tissue-specific expression of other genes is not significant.
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This research was supported by the National Natural Science Foundation of China (31871698).
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Yao, Y., Sun, L., Wu, W. et al. Genome-Wide Investigation of Major Enzyme-Encoding Genes in the Flavonoid Metabolic Pathway in Tartary Buckwheat (Fagopyrum tataricum). J Mol Evol 89, 269–286 (2021). https://doi.org/10.1007/s00239-021-10004-6
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DOI: https://doi.org/10.1007/s00239-021-10004-6