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Article

Genome-Wide Identification and Analysis of WD40 Family and Its Expression in F. vesca at Different Coloring Stages

by
Hongyu Yang
,
Wenxia Yao
,
Xiangjun Fan
,
Yang Lu
,
Yan Wang
and
Zonghuan Ma
*
College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(22), 12334; https://doi.org/10.3390/ijms252212334
Submission received: 16 September 2024 / Revised: 3 November 2024 / Accepted: 13 November 2024 / Published: 17 November 2024
(This article belongs to the Section Molecular Genetics and Genomics)

Abstract

:
WD40 proteins play important roles in the synthesis and regulation of anthocyanin, the regulation of plant morphology and development, and the response to various abiotic stresses. However, the role of WD40 in Fragaria vesca (F. vesca) has not been studied. In this study, a total of 216 FvWD40 family members were identified, which were divided into four subfamilies based on evolutionary tree analysis. Subcellular localization predictions show that FvWD40 family members are mainly localized in chloroplasts, nuclei, and cytoplasm. An analysis of collinearity revealed a total of eight pairs of intraspecific collinearity of the FvWD40 gene family, and interspecific collinearity showed that the FvWD40 gene family covaried more gene pairs with Arabidopsis thaliana (Arabidopsis) than with rice (Oryza sativa). Promoter cis-acting elements revealed that the FvWD40 gene family contains predominantly light, hormone, and abiotic stress response elements. Tissue-specific expression analysis showed that a number of members including FvWD40-111 and FvWD40-137 were highly expressed in all tissues, and a number or members including FvWD40-97 and FvWD40-102 were lowly expressed in all tissues. The FvWD40 gene family was found to be expressed at all four different coloring stages of F. vesca by qRT-PCR, with lower expression at the 50% coloring stage (S3). FvWD40-24, FvWD40-50, and FvWD40-60 showed the highest expression during the white fruit stage (S1) period, suggesting that these genes play a potential regulatory role in the pre-fruit coloring stage. FvWD40-62, FvWD40-88 and FvWD40-103 had the highest expression at the 20% coloration stage (S2), and FvWD40-115, FvWD40-170, FvWD40-184 and FvWD40-195 had the highest expression at the full coloration stage (S4). These results suggest a potential role for these genes during fruit coloration. This study lays a foundation for further research on the function of the WD40 gene family.

1. Introduction

WD40 protein, also known as WD40 repeats, is widespread in all eukaryotes and relatively rare in prokaryotes [1]. The WD40 motif in WD40 proteins is highly conserved, usually containing about 40–60 amino acid residues, with a glycine–histidine (GH) dipeptide at the N-terminus and a tryptophan-aspartic acid (WD) dipeptide at the C-terminus [2,3,4]. WD40 is a relatively large gene family in plants and has been identified in a variety of plants, such as in Arabidopsis [5], eggplant [6], tomato [7], and sugar beet [8]. The presence of WD40 protein has been reported in only a small percentage of archaea (27/134) and bacteria (466/1679) [9]. Comparatively speaking, the identification and function of WD40 genes have been more widely studied in animals and plants. WD40 repeat proteins are involved in complex biological regulatory mechanisms through interactions with a variety of proteins. These mechanisms range from the control of gene expression, such as DNA replication and processing in response to damage, to the regulation of chromatin structure, i.e., histone recognition. In addition, WD40 proteins are involved in the fine tuning of gene transcription, further processing of protein function, i.e., post-translational modification, and signaling processes inside and outside the cell. They are also involved in protein degradation pathways and the regulation of apoptosis [10,11,12]. WD40 proteins play multiple roles in plants and their main functions can be summarized as follows: influencing plant growth and developmental processes [13,14], regulating anthocyanin synthesis [15], and enhancing plant adaptation to biotic and abiotic environmental stresses [16]. It has been shown that the WD40-related protein NtTTG1 enhances drought tolerance in tobacco [17]. WD40 protein also plays an active role in high temperature and NaCl stress [18]. Zhang et al. found that the protein Ehd5, which contains the WD40 structural domain, regulates flowering in rice [19].
Anthocyanins are widely found in plants and are important secondary metabolites of plants. The accumulation of anthocyanins can help plants resist adversity and pathogen invasion, and can attract insects for pollination [20,21]. The genes affecting anthocyanin synthesis are mainly categorized into structural genes and transcription factors. Structural genes include phenylalanine aminolytic enzyme (PAL), chalcone synthase (CHS), chalcone isomerase (CHI), flavonoid hydroxylase (F3H), flavonoid 3′-hydroxylase (F3′H), dihydroflavonoid reductase (DFR), anthocyanidin synthesis (ANS), and flavonoid glycosyltransferases (UFGT) [22]. Transcription factors mainly include MYB, bHLH and WD40. Studies have shown that the MYB-bHLH-WD40 (MBW) transcriptional complex is widely present in many plants and regulates the synthesis of anthocyanins in plants, and that environmental factors can affect anthocyanin accumulation by influencing the MBW transcriptional complex [23,24,25,26].
AN11 in Petunia hybrida was the first reported WD40 gene related to anthocyanin synthesis, and it regulates the expression of genes related to anthocyanin synthesis mainly through post-translational modification of the downstream MYB transcription factor AN2 [27]. The AtTTG1 gene in Arabidopsis and the PAC1 gene in maize (Zea mays) were subsequently reported to contain WD40 repeat proteins, which function similarly to the anthocyanin synthesis-related gene PhAN11 in regulating the synthesis of anthocyanins [28,29]. An et al. [30] cloned the WD40 protein gene MdTTG1 in apple, which was identified as a gene related to anthocyanin accumulation by expression analysis, and found that it interacted with bHLH transcription factor to enhance the accumulation of anthocyanin in mustard. By knocking out the MtWD40-1 gene in alfalfa, a significant reduction in the content of proanthocyanidins and anthocyanidins was observed in the mutant plants, which suggests that the MtWD40-1 gene plays a role in promoting anthocyanin accumulation in alfalfa [31]. This indicates that the gene positively regulates the accumulation of anthocyanin. In figs (Ficus carica L.), FcWD40-97 interacts with FcMYB114, FcMYB123, and FcbHLH42 to form an MBW complex that co-regulates anthocyanin synthesis [32]. In Raphanus sativus, heterologous expression of the WD40 gene RsTTG1 in an Arabidopsis mutant restored anthocyanin and PA accumulation in the mutant, and RsTTG1 stabilized the activation of the promoters of the anthocyanidin-synthesizing genes RsCHS and RsDFR when the RsTTG1 protein was coexpressed with the RsTT8 protein [33]. The eggplant WD40-56 protein may play a key role in determining the color formation of aubergine fruits by regulating structural genes associated with anthocyanin synthesis [6]. In blue sterile flower varieties of hydrangea, the HmWDR68 gene interacts significantly with several key genes in the anthocyanin synthesis pathway, including HmF3H, HmC3′5′H, HmDFR, and HmANS [34].
WD40 is an important gene that regulates anthocyanin synthesis and is important for fruit coloration. The MBW complex has been reported on the regulation of fruit coloration in pineapple strawberries, but it has not been reported in the WD40 single gene in forest strawberry coloration [35,36]. Based on this study, we identified the members of the F. vesca WD40 gene family from the F. vesca genome, performed bioinformatics analysis, and analyzed the changes in the expression levels of some of the members in four periods by real-time fluorescence quantitative PCR, which clarified the roles of some of the members in regulating anthocyanoside synthesis in fruits, and provided candidate genes for the in-depth study of their functions in the later stage of this study.

2. Results and Analysis

2.1. Identification, Physicochemical Properties, and Secondary Structure Analysis of F. vesca WD40 Gene Family

In this study, a total of 216 WD40 genes were identified in strawberries, which were named FvWD40-1-FvWD40-216 according to their location on the chromosome. Based on the physicochemical property analysis, the isoelectric point of the FvWD40 gene family was shown to be between 4.36 and 10.28. The instability index ranged from 15.27 to 62.94, the aliphatic index from 48.65 to 105.73, and the hydrophilicity from −0.89 to 0.45 (Figure 1A). Secondary structure prediction revealed that all FvWD40 genes were devoid of β-turns and consisted mainly of α-helix, random coil, and extended strand. The α-helix ranged from 6.47% to 45.44%, the extended strand from 11.13% to 41.81%, and the irregular coils from 13.58% to 68.67% (Figure 1B).

2.2. Evolutionary Tree, Motif, and Gene Structure Analysis of F. vesca WD40 Gene Family

The 216 FvWD40 proteins were subjected to evolutionary tree analysis and classified into four subfamilies. Subfamily I had the fewest family members and subfamily IV had the most family members. Subgroups I–IV contained 11, 51, 42, and 112 members, respectively (Figure 2).
To further validate the diversity of WD40 in F. vesca, we analyzed the conserved motifs of the FvWD40 gene family proteins. Motif 1, motif 3, motif 4, motif 5, and motif 7 are all widely distributed in the FvWD40 protein. Subgroup I does not contain motif 8. Only 17 genes contained motif 10, 16 genes contained motif 9, and 15 genes contained motif 8, all of which were contained more in the second subfamily (Figure 3B and Table S1).
We analyzed the exon and intron composition of FvWD40 gene family members and found that 24 genes had no upstream or downstream sequences. Most of the genes contain more exons and introns, and only a few genes contain fewer exons and introns. FvWD40-150 has the maximum number of exons with 39, while FvWD40-42, FvWD40-47, FvWD40-62, FvWD40-76, FvWD40-139, FvWD40-144, FvWD40-145, FvWD40-146, and FvWD40-179 have only one exon (Figure 3C).

2.3. Chromosomal Localization, Subcellular Localization, and Covariance Analysis of F. vesca WD40 Gene Family

Chromosomal localization analysis of the FvWD40 gene family revealed gene distribution on all seven chromosomes. The most genes were distributed on Chr2 with 42 genes and the least on Chr1 with 25 genes. 26, 28, 32, 37, and 26 genes distributed on Chr3-7, respectively (Figure 4).
Subcellular localization results showed that the FvWD40 protein was mainly localized in chloroplasts, nuclei, cytoskeleton and cytoplasm. FvWD40-22, FvWD40-43, FvWD40-53, FvWD40-72, FvWD40-94, FvWD40-128, FvWD40-151, and FvWD40-163 are localized only in the nucleus. In total, 70 genes were localized in vesicles, 21 genes in peroxisomes, and 15 genes in the Golgi apparatus (Figure 5).
Intraspecific colinear analysis of the FvWD40 gene family revealed a total of eight colinear pairs, namely FvWD40-3/FvWD40-173, FvWD40-6/FvWD40-175, FvWD40-9/FvWD40-181, FvWD40-15/FvWD40-29, FvWD40-15/FvWD40-66, FvWD40-17/FvWD40-60, FvWD40-62/FvWD40-178 and FvWD40-119/FvWD40-135. These data suggest that some members of the FvWD40 gene family may have arisen by the process of fragment duplication, a key mechanism driving the evolution of the F. vesca WD40 gene family (Figure 6A).
To further discover the affinities between F. vesca and Arabidopsis and rice, interspecies colinear analysis of the FvWD40 gene family revealed a total of 100 colinear pairs between the F. vesca WD40 gene and Arabidopsis, whereas 49 colinear pairs were found with rice, suggesting that F. vesca is more closely related to dicotyledonous plants, and is more distantly related to monocotyledonous plants (Figure 6B).

2.4. Promoter and Tissue-Specific Analysis of F. vesca WD40 Gene Family

The first 2000 bp of the F. vesca WD40 gene was analyzed for cis-acting elements, and the promoters of this gene family include light, hormone, and stress response elements. Light-responsive elements include elements such as G-box, I-box, E-box, and GT1-motif. Hormone response elements include elements such as TCA-element, ABRE, TGA-box, TATC-box, ERE, GA-responsive element, and AuxRR-core. Hormone response elements include elements such as WUS and LTR. WD40 family promoter sequences also contain MYB transcription factors and bHLH binding site elements such as E-box (Figure 7).
By analyzing the expression of members of the FvWD40 gene family in strawberry seeds, young leaves, seedlings, at different times of flowering, and in pollen, we found that FvWD40-4, FvWD40-89, FvWD40-104, FvWD40-111, FvWD40-137, FvWD40-138, FvWD40-175, FvWD40-180, and FvWD40-187 were highly expressed in almost all tissues. FvWD40-76, FvWD40-90, FvWD40-97, FvWD40-101, FvWD40-102, FvWD40-113, FvWD40-127, FvWD40-158, and FvWD40-208 were expressed at low levels in almost all tissues. The relatively high expression of FvWD40-62 and FvWD40-214 in flowers and FvWD40-88 and FvWD40-152 in exocarp suggests that these genes may have a potential role in pigment regulation (Figure 8).

2.5. Codon Preference and Selection Pressure Analysis of the F. vesca WD40 Gene Family

By analyzing the relative synonymous codon usage frequency of the FvWD40 gene family, a total of 29 codons were found to have an RSCU ≥ 1, namely AGU, UCA, UCU, CUU, UUG, AGA, AGG, GCA, GCU, GGA, GGU, CCA, CCU, ACA, ACU, GUG, GUU, AUU, UGU, GAU, GAA, UUU, CAU, AAG, UUU, AAU, CAG, AUG, and UGG (Figure 9A). This indicates that Ser preferentially encodes AGU, UCA, and UCU, Leu preferentially encodes CUU and UUG, and Arg preferentially encodes AGA and AGG, among others. The mean values of CAI, CBI, Fop, and Nc for FvWD40 gene family members were 0.208, −0.039, 0.4, and 53.261, respectively. A total of 22 genes were found to have Nc values less than 50, which were FvWD40-19, FvWD40-47, FvWD40-50, FvWD40-56, FvWD40-70, FvWD40-71, FvWD40-84, FvWD40-93, FvWD40-107, FvWD40-114, FvWD40-137, FvWD40-139, FvWD40-142. FvWD40-143, FvWD40-145, FvWD40-149, FvWD40-169, FvWD40-180, FvWD40-190, FvWD40-192, FvWD40-200, and FvWD40-213, suggesting that these 22 genes have strong codon preferences. There was a difference in GC content between members of the FvWD40 gene family within a wide area from 43.7% to 64.9%, whereas the variation in GC3s content was from 28.7% to 89.4%, with an average of 46.5% and 42.5% for GCs and GC3s, respectively (Figure 9C, Table S2).
Correlation analysis of codon-related parameters showed that GC was positively correlated with GC3s, C3s, Fop, CBI, CAI, and G3s, and negatively correlated with A3s, T3s, and NC. C3s, Fop, CBI, and CAI were weakly positively correlated with G3s. GC, GC3s, C3s, Fop, CBI, CAI, and G3s were weakly negatively correlated with NC and strongly negatively correlated with A3s and T3s (Figure 9B).
By analyzing the selection pressure on members of the FvWD40 gene family with collinearity, we found that the ratios of non-synonymous substitution rate (Ka) to synonymous substitution rate (Ks) of these gene pairs were all less than one, which implies that this gene family mainly undergoes a process of purifying selection (Table 1).

2.6. Expression Analysis of FvWD40 Gene Family at Different Fruit Coloring Stages

In this study, we analyzed the expression of some family members of FvWD40 at four different coloring stages of F. vesca and found that almost all genes were expressed at lower levels during S3. Compared to the S1 period, the expression of some genes was significantly down-regulated in the S2 and S3 periods, such as FvWD40-24, FvWD40-50, FvWD40-60, FvWD40-90, and FvWD40-174. The results suggest that these genes may be involved in the regulation of F. vesca pre-coloring. Some genes showed the highest expression in the S2 period, such as FvWD40-62, FvWD40-72, FvWD40-88, FvWD40-103, FvWD40-127, FvWD40-133, and FvWD40-209. The expression of FvWD40-72 was 3.4 times higher in the S2 period than in the S1 period. The expression of FvWD40-127 was 2.1 times higher in the S2 period than in the S1 period. FvWD40-62 was firstly significantly elevated in the S2 period and then gradually decreased. FvWD40-115, FvWD40-170, FvWD40-184, and FvWD40-195 had the highest expression during S4. The expression of FvWD40-184 was 22 times higher in the S4 period than in the S1 period. The expression of FvWD40-115 was 1.7 times higher in the S4 period than in the S1 period. These results suggest that the different members function at different stages of coloration, respectively (Figure 10).

3. Discussion

In this study, a total of 216 FvWD40 family members were identified. Compared with previous studies, there were fewer WD40 members in F. vesca than in Arabidopsis (230) [5], mango (315) [37], and wheat (743) [38], but more than in tomato (207) [7], potato (178) [39], and peach (220) [40].
To further validate the phylogenetic relationships of the FvWD40 family, we performed a phylogenetic developmental tree analysis, which can be divided into four subfamilies. Subcellular localization results showed that FvWD40 family proteins were mainly localized in chloroplasts, nuclei, and cytoplasm. Covariance analysis revealed a total of eight covariance pairs for FvWD40 family members, namely FvWD40-3/FvWD40-173, FvWD40-6/FvWD40-175, FvWD40-9/FvWD40-181, FvWD40-15/FvWD40-29, FvWD40-15/FvWD40-66, FvWD40-17/FvWD40-60, FvWD40-62/FvWD40-178, and FvWD40-119/FvWD40-135. FvWD40-15 has two segmental duplications, and these results suggest that some FvWD40 genes may have arisen from segmental duplications. Analysis of selection pressure on members of the FvWD40 gene family revealed that the family members evolved by purifying selection.
Analysis of the promoter sequences of the FvWD40 gene family members revealed that the promoters of the family members mainly contain response elements such as hormones and abiotic stresses. This is similar to the results for promoter cis-acting elements in tomato and in the Oryza genus [7,41]. In previous studies, light and hormonal components were found to be associated with anthocyanoside synthesis [20,42,43]. To verify the expression of FvWD40 family members in various tissues of F. vesca, tissue expression prediction was performed in this study. Some of the genes were found to be highly expressed in all tissues of F. vesca, and some genes were highly expressed in tissues where F. vesca is more pigmented, such as flower and peel. FvWD40-62 and FvWD40-214 were relatively highly expressed in flowers. In the study of Pachysandra, HmWDR68 had the highest expression in sterile flowers and the lowest expression in roots [34].
The WD40 gene plays an important role not only in regulating plant response to abiotic stress and plant growth and development, but also in regulating anthocyanin and flavonoid synthesis [17,44,45]. Virus-induced silencing of the WD40 transcription factor gene reduced anthocyanin accumulation in chili fruits by decreasing CHS, F3H, F3′5′H, DFR, and 3GT expression in fruits [46]. In apple, the apple WD40 protein (MdTTG1) interacts with bHLH to regulate anthocyanoside synthesis [30]. To further verify the role of FvWD40 gene family in F. vesca fruit coloring, this study conducted analysis by qRT-PCR. FvWD40-24, FvWD40-50, FvWD40-60, FvWD40-90, and FvWD40-174 were found to have the highest expression at the S1 stage, suggesting that these genes may play an important role in regulating pre-transformation staining in F. vesca. Similar results were seen in eggplant, where some genes decreased in expression as eggplant coloring increased, such as SmWD40-27 and SmWD40-43 [6]. Some genes had the highest expression during the S2 period, such as FvWD40-62, FvWD40-72, FvWD40-88, FvWD40-103, FvWD40-127, FvWD40-133, and FvWD40-209, suggesting that the expression of genes related to pigment synthesis is elevated during the early stage of strawberry fruit coloring in order to synthesize pigments. The lowest expression of basically all genes was observed at S3, which may be due to the fact that the expression of anthocyanin synthesis genes decreases as the plant may shift its metabolic focus from pigment synthesis to other ripening-related biosynthetic pathways as the fruits ripen. FvWD40-115, FvWD40-170, FvWD40-184, and FvWD40-195 had high expression during S4, suggesting that these genes have a role in the regulation of pigmentation during fruit ripening and may also regulate pigment degradation. These results are consistent with the findings in eggplant [6]. Wang et al. [45] found that the expression of some genes decreased with the deepening of flower color at both bud and bloom stages in rhododendron, and some of the genes were most highly expressed in pink-colored flower species, followed by red flowers, and least in white flowers. Liu et al. [39] examined the peel and flesh of potato and found that most of the StWD40 expression was lower in white peel and flesh, higher in purple peel and flesh, and a few genes were higher in white peel and flesh. At present, these genes involved in F. vesca fruit pigment accumulation and transformation have not been further validated and need to be further verified.

4. Materials and Methods

4.1. Plant Materials

The plant material used in this experiment was diploid forest strawberry “Hawaii 4”, which was grown in a light incubator at a temperature of 22 °C/19 °C (16 h during the day/8 h at night), a humidity of 50%, and a light of 7000 Lux. The cultivation substrate–vermiculite was 3:1. Fruits were collected at the white fruiting stage (S1), 20% coloring stage (S2), 50% coloring stage (S3), and full coloring stage (S4), the F. vesca flesh was separated from the pericarp, and the pericarp were collected, chopped, and accurately weighed to extract the RNA for the subsequent experiments.

4.2. Identification of FvWD40 Gene Family

We downloaded the F. vesca genome (Fvesca_677_v4.0) and GFF3 (Fvesca_677_v4.0) files from the Phytozome v13 (https://phytozome-next.jgi.doe.gov/, accessed on 20 April 2024) website [47]. Candidate genes were screened using Simple HMM Search of TBtools v2.136 [48], and structural domain screening was performed on the NCBI-CDD (https://www.ncbi.nlm.nih.gov/cdd/, accessed on 1 May 2024) and HMMER (https://www.ebi.ac.uk/Tools/hmmer/search/hmmscan, accessed on 1 May 2024) websites [49] to exclude genes that did not contain the PF00400 structural domain.
We analyzed the physicochemical properties of FvWD40 protein including molecular weight (MW), isoelectric point (PI), hydrophilicity, etc., using the ExPASy (https://web.expasy.org/protparam/, accessed on 1 May 2024) website [50].

4.3. Analysis of the FvWD40 Family Evolutionary Tree, Motif, and Gene Structure

Multiple sequence alignment of FvWD40 proteins was performed using ClustalX 1.83 software, and a phylogenetic tree with bootstrap value set to 1000 was constructed using MEGA 7.0 software. We beautified it at the Chiplot (https://www.chiplot.online/, accessed on 3 May 2024) website [51].
Conserved motif analysis was performed using the MEME (http://meme-suite.org/tools/meme, accessed on 3 May 2024) website [52], with the motif number set to 10 and the rest of the parameters at default values, and plotted the analysis using TBtools. Gene structures were mapped using TBtools via the GFF3 files.

4.4. Analysis of Chromosomal Localization, Secondary Structure, and Subcellular Localization of FvWD40 Genes

Chromosome localization analysis was conducted with TBtools. Secondary structure prediction was performed at the NPS@: SOPMA (https://npsa-prabi.ibcp.fr/cgi-bin/npsa_automat.pl?page=npsa_sopma.html, accessed on 4 May 2024) website. The online software WoLF PSORT (https://wolfpsort.hgc.jp/, accessed on 4 May 2024) [53] was used to perform subcellular localization prediction and secondary structure and subcellular localization mapping was performed using Origin software.

4.5. Analysis of Promoter Cis-Acting Elements, Covariance, and Selective Pressure in FvWD40 Gene Family

The sequence of 2000 bp upstream of the start codon of the FvWD40 gene family was extracted on TBtools, analyzed on the PLACE (https://www.dna.affrc.go.jp/PLACE/?action=newplace, accessed on 24 October 2024) website, and mapped using the Tbtools software.
Genomic and GFF3 files of Arabidopsis and rice were downloaded from the Phytozome v13 (https://phytozome.jgi.doe.gov/pz/portal.htm, accessed on 6 May 2024) website for covariance analysis and plotted in TBtools software.
The Simple Ka/Ks Calculator method of TBtools was utilized to calculate Ka (non-synonymous substitution rate), Ks (synonymous substitution rate), and (selection intensity) Ka/Ks for the eight pairs of FvWD40 genes with a covariate relationship.

4.6. Codon Preference and Tissue Specificity Analysis of the FvWD40 Gene Family

The codon usage characteristics of CDS sequences of the FvWD40 gene were analyzed using the online software CodonW 1.4.2 (http://codonw.sourceforge.net, accessed on 9 May 2024), including relative synonymous codon usage (RSCU), effective codon (ENC), codon bias index (CBI), codon adaptation index (CAI), best codon usage frequency (Fop), T3s, C3s, G3s, T3s, C3s, CAI, CBI, Nc, Fop, GC, GC3s, L_sym, L_aa, gravy, and Aromo parameter correlation analysis. Tissue-specific expression analysis of the FvWD40 gene family in the BAR database (https://bar.utoronto.ca/, accessed on 9 May 2024) was conducted. Plotting was carried out with TBtools. Clustering was performed using Cluster Rows and Cluster Cols in TBtools’ HeatMap.

4.7. Extraction of RNA from F. vesca Fruit

RNA was extracted from F. vesca fruits using a plant RNA extraction kit (RealTimes (Beijing, China) Biotechnology Co., Ltd.), and the quality and quantity of RNA was determined using a Poulton P200 microvolume spectrophotometer (Poulton Technologies, Inc., San Jose, CA, USA). RNA was stored at −80 °C for further analysis.

4.8. qRT-PCR Analysis

Primers (Tables S3 and S4) were synthesized by Bioengineering (Shanghai, China). Biological Engineering Co. RNA from F. vesca fruit was extracted and reverse transcribed into single-stranded cDNA as a template. Using the FvGAPDH gene as a reference, a 20 µL real-time quantitative PCR reaction system was constructed containing 1 µL of cDNA, 1 µL each of upstream and downstream primers (10 μmol/L), 10 µL of SYBR Green enzyme mixture, and 7 µL of ddH2O. The cycling parameters were 95 °C for 30 s, 50 cycles of 95 °C for 5 s, and 60 °C for 30 s. Melting curve analysis was performed after PCR cycling, and the program consisted of 95 °C for 15 s, 60 °C for 60 s, and 95 °C for 15 s. Three biological replicates were set up for this experiment. The relative expression of FvWD40 gene family members was calculated using 2−ΔΔCt [54].

4.9. Statistical Analysis of Data

Statistical data were analyzed using Excel software and were calculated and organized. Three replicates of qRT-PCR quantitative data were analyzed by one-way ANOVA using Duncan’s method with SPSS 22.0. Plotting was performed in Origin 2021.

5. Conclusions

In this study, 216 members of the F. vesca WD40 gene family were identified and distributed on seven chromosomes of F. vesca. They were categorized into four subfamilies based on phylogenetic relationships. Promoter cis-acting elements revealed that FvWD40 family members contain many elements related to anthocyanin synthesis, such as growth hormone, gibberellin, and methyl jasmonate. Tissue-specific expression analysis revealed that some of the genes were more highly expressed in tissues with higher pigmentation content, such as in flowers and fruit peels. The qRT-PCR results showed that FvWD40-24, FvWD40-50, FvWD40-62, FvWD40-88, FvWD40-115, and FvWD40-170 play roles in the early stage of F. vesca fruit coloration and in the stages of pigment accumulation and degradation, and these genes may be candidates for subsequent studies (Table S5). This study will provide an avenue for further research on the function of the WD40 gene family in F. vesca coloration.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms252212334/s1.

Author Contributions

H.Y.: Writing—original draft, conceptualization, and methodology. W.Y.: Visualization, conceptualization, and software. X.F.: Data curation, formal analysis. Y.L.: Methodology, software. Y.W.: Supervision, validation. Z.M.: Writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by grants from the Rural revitalization project (23CXNA0008), the Gansu Youth Talent Lifting Project (GXH202220530-06), and the Fuxi Young Talents Project of Gansu Agricultural University (GAUfx-04Y05).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The species analyzed in this experiment was forest strawberry, and the forest strawberry genome version number was Fvesca_677_v4.0. Data will be made available on request.

Acknowledgments

The authors would like to thank Shanghai Biotech (Shanghai, China) for help with sequencing and bioinformatics analyses.

Conflicts of Interest

The authors declare that they have no conflicts of interest associated with this work.

References

  1. Migliori, V.; Mapelli, M.; Guccione, E. On WD40 proteins: Propelling our knowledge of transcriptional control? Epigenetics 2012, 7, 815–822. [Google Scholar] [CrossRef] [PubMed]
  2. Stirnimann, C.U.; Petsalaki, E.; Russell, R.B.; Müller, C.W. WD40 proteins propel cellular networks. Trends Biochem. Sci. 2010, 35, 565–574. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, C.; Dong, X.; Han, L.; Su, X.D.; Zhang, Z.; Li, J.; Song, J. Identification of WD40 repeats by secondary structure-aided profile-profile alignment. J. Theor. Biol. 2016, 398, 122–129. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, Y.; Jiang, F.; Zhuo, Z.; Wu, X.H.; Wu, Y.D. A method for WD40 repeat detection and secondary structure prediction. PLoS ONE 2013, 8, e65705. [Google Scholar] [CrossRef] [PubMed]
  5. Li, Q.; Zhao, P.; Li, J.; Zhang, C.; Wang, L.; Ren, Z. Genome-wide analysis of the WD-repeat protein family in cucumber and Arabidopsis. Mol. Genet. Genom. 2014, 289, 103–124. [Google Scholar] [CrossRef]
  6. Yang, Y.; Cai, Q.; Wang, Y.; Li, L.; Sun, Z. Genome-Wide Exploration of the WD40 Gene Family in Eggplant (Solanum melongena L.) and Analysis of Its Function in Fruit Color Formation. Agronomy 2024, 14, 521. [Google Scholar] [CrossRef]
  7. Yan, C.; Yang, T.; Wang, B.; Yang, H.; Wang, J.; Yu, Q. Genome-Wide Identification of the WD40 Gene Family in Tomato (Solanum lycopersicum L.). Genes 2023, 14, 1273. [Google Scholar] [CrossRef]
  8. Wu, Z.; Zhang, T.; Li, J.; Chen, S.; Grin, I.R.; Zharkov, D.O.; Yu, B.; Li, H. Genome-wide analysis of WD40 protein family and functional characterization of BvWD40-82 in sugar beet. Front. Plant Sci. 2023, 14, 1185440. [Google Scholar] [CrossRef]
  9. Hu, X.J.; Li, T.; Wang, Y.; Xiong, Y.; Wu, X.H.; Zhang, D.L.; Ye, Z.Q.; Wu, Y.D. Prokaryotic and Highly-Repetitive WD40 Proteins: A Systematic Study. Sci. Rep. 2017, 7, 10585. [Google Scholar] [CrossRef]
  10. Mishra, A.K.; Muthamilarasan, M.; Khan, Y.; Parida, S.K.; Prasad, M. Genome-wide investigation and expression analyses of WD40 protein family in the model plant foxtail millet (Setaria italica L.). PLoS ONE 2014, 9, e86852. [Google Scholar] [CrossRef]
  11. Han, Z.; Guo, L.; Wang, H.; Shen, Y.; Deng, X.W.; Chai, J. Structural basis for the specific recognition of methylated histone H3 lysine 4 by the WD-40 protein WDR5. Mol. Cell 2006, 22, 137–144. [Google Scholar] [CrossRef] [PubMed]
  12. Enchev, R.I.; Schulman, B.A.; Peter, M. Protein neddylation: Beyond cullin-RING ligases. Nat. Rev. Mol. Cell Biol. 2015, 16, 30–44. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, W.; Chen, L.; Zhang, X.; Yang, N.; Guo, J.; Wang, M.; Ji, S.; Zhao, X.; Yin, P.; Cai, L.; et al. Convergent selection of a WD40 protein that enhances grain yield in maize and rice. Science 2022, 375, eabg7985. [Google Scholar] [CrossRef] [PubMed]
  14. Chen, C.; Yin, S.; Liu, X.; Liu, B.; Yang, S.; Xue, S.; Cai, Y.; Black, K.; Liu, H.; Dong, M.; et al. The WD-Repeat Protein CsTTG1 Regulates Fruit Wart Formation through Interaction with the Homeodomain-Leucine Zipper I Protein Mict. Plant Physiol. 2016, 171, 1156–1168. [Google Scholar] [CrossRef]
  15. Naval, M.D.M.; Gil-Muñoz, F.; Lloret, A.; Besada, C.; Salvador, A.; Badenes, M.L.; Ríos, G. A WD40-repeat protein from persimmon interacts with the regulators of proanthocyanidin biosynthesis DkMYB2 and DkMYB4. Tree Genet. Genomes 2016, 12, 13. [Google Scholar]
  16. Lee, S.; Lee, J.; Paek, K.H.; Kwon, S.Y.; Cho, H.S.; Kim, S.J.; Park, J.M. A novel WD40 protein, BnSWD1, is involved in salt stress in Brassica napus. Plant Biotechnol. Rep. 2010, 4, 165–172. [Google Scholar] [CrossRef]
  17. Meng, L.; Su, H.; Qu, Z.; Lu, P.; Tao, J.; Li, H.; Zhang, J.; Zhang, W.; Liu, N.; Cao, P.; et al. Genome-wide identification and analysis of WD40 proteins reveal that NtTTG1 enhances drought tolerance in tobacco (Nicotiana tabacum). BMC Genom. 2024, 25, 133. [Google Scholar] [CrossRef]
  18. Çelik, H.; Aravena, A.; Turgut, K.N. Bioinformatics and gene expression analysis of the legume F-box/WD40 proteins in NaCl and high temperature stress. Genet. Resour. Crop Evol. 2023, 70, 2637–2655. [Google Scholar] [CrossRef]
  19. Zhang, X.; Feng, Q.; Miao, J.; Zhu, J.; Zhou, C.; Fan, D.; Lu, Y.; Tian, Q.; Wang, Y.; Zhan, Q.; et al. The WD40 domain-containing protein Ehd5 positively regulates flowering in rice (Oryza sativa). Plant Cell 2023, 35, 4002–4019. [Google Scholar] [CrossRef]
  20. Liu, Y.; Tikunov, Y.; Schouten, R.E.; Marcelis, L.F.M.; Visser, R.G.F.; Bovy, A. Anthocyanin Biosynthesis and Degradation Mechanisms in Solanaceous Vegetables: A Review. Front. Chem. 2018, 6, 52. [Google Scholar] [CrossRef]
  21. Yoshikazu, T.; Nobuhiro, S.; Akemi, O. Biosynthesis of plant pigments: Anthocyanins, betalains and carotenoids. Plant J. Cell Mol. Biol. 2008, 54, 733–749. [Google Scholar]
  22. Nishihara, M.; Nakatsuka, T. Genetic engineering of flavonoid pigments to modify flower color in floricultural plants. Biotechnol. Lett. 2011, 33, 433–441. [Google Scholar] [CrossRef] [PubMed]
  23. Gil-Muñoz, F.; Sánchez-Navarro, J.A.; Besada, C.; Salvador, A.; Badenes, M.L.; Naval, M.d.M.; Ríos, G. MBW complexes impinge on anthocyanidin reductase gene regulation for proanthocyanidin biosynthesis in persimmon fruit. Sci. Rep. 2020, 10, 3543. [Google Scholar] [CrossRef]
  24. Dubos, C.; Stracke, R.; Grotewold, E.; Weisshaar, B.; Martin, C.; Lepiniec, L. MYB transcription factors in Arabidopsis. Trends Plant Sci. 2010, 15, 573–581. [Google Scholar] [CrossRef]
  25. Zhao, M.; Morohashi, K.; Hatlestad, G.; Grotewold, E.; Lloyd, A. The TTG1-bHLH-MYB complex controls trichome cell fate and patterning through direct targeting of regulatory loci. Development 2008, 135, 1991–1999. [Google Scholar] [CrossRef]
  26. Wei, Q.; Zhang, F.; Sun, F.; Luo, Q.; Wang, R.; Hu, R.; Chen, M.; Chang, J.; Yang, G.; He, G. A wheat MYB transcriptional repressor TaMyb1D regulates phenylpropanoid metabolism and enhances tolerance to drought and oxidative stresses in transgenic tobacco plants. Plant Sci. 2017, 265, 112–123. [Google Scholar] [CrossRef]
  27. de Vetten, N.; Quattrocchio, F.; Mol, J.; Koes, R. The an11 locus controlling flower pigmentation in petunia encodes a novel WD-repeat protein conserved in yeast, plants, and animals. Genes Dev. 1997, 11, 1422–1434. [Google Scholar] [CrossRef] [PubMed]
  28. Walker, A.R.; Davison, P.A.; Bolognesi-Winfield, A.C.; James, C.M.; Srinivasan, N.; Blundell, T.L.; Esch, J.J.; Marks, M.D.; Gray, J.C. The TRANSPARENT TESTA GLABRA1 locus, which regulates trichome differentiation and anthocyanin biosynthesis in Arabidopsis, encodes a WD40 repeat protein. Plant Cell 1999, 11, 1337–1350. [Google Scholar] [CrossRef]
  29. Carey, C.C.; Strahle, J.T.; Selinger, D.A.; Chandler, V.L. Mutations in the pale aleurone color1 regulatory gene of the Zea mays anthocyanin pathway have distinct phenotypes relative to the functionally similar TRANSPARENT TESTA GLABRA1 gene in Arabidopsis thaliana. Plant Cell 2004, 16, 450–464. [Google Scholar] [CrossRef]
  30. An, X.H.; Tian, Y.; Chen, K.Q.; Wang, X.F.; Hao, Y.J. The apple WD40 protein MdTTG1 interacts with bHLH but not MYB proteins to regulate anthocyanin accumulation. J. Plant Physiol. 2012, 169, 710–717. [Google Scholar] [CrossRef]
  31. Pang, Y.; Wenger, J.P.; Saathoff, K.; Peel, G.J.; Wen, J.; Huhman, D.; Allen, S.N.; Tang, Y.; Cheng, X.; Tadege, M.; et al. A WD40 repeat protein from Medicago truncatula is necessary for tissue-specific anthocyanin and proanthocyanidin biosynthesis but not for trichome development. Plant Physiol. 2009, 151, 1114–1129. [Google Scholar] [CrossRef] [PubMed]
  32. Fan, Z.; Zhai, Y.; Wang, Y.; Zhang, L.; Song, M.; Flaishman, M.A.; Ma, H. Genome-Wide Analysis of Anthocyanin Biosynthesis Regulatory WD40 Gene FcTTG1 and Related Family in Ficus carica L. Front. Plant Sci. 2022, 13, 948084. [Google Scholar] [CrossRef]
  33. Lim, S.H.; Kim, D.H.; Lee, J.Y. RsTTG1, a WD40 Protein, Interacts with the bHLH Transcription Factor RsTT8 to Regulate Anthocyanin and Proanthocyanidin Biosynthesis in Raphanus sativus. Int. J. Mol. Sci. 2022, 23, 11973. [Google Scholar] [CrossRef] [PubMed]
  34. Gong, J.; Wang, Y.; Xue, C.; Wu, L.; Sheng, S.; Wang, M.; Peng, J.; Cao, S. Regulation of blue infertile flower pigmentation by WD40 transcription factor HmWDR68 in Hydrangea macrophylla ‘forever summer’. Mol. Biol. Rep. 2024, 51, 328. [Google Scholar] [CrossRef] [PubMed]
  35. Yue, M.; Jiang, L.; Zhang, N.; Zhang, L.; Liu, Y.; Lin, Y.; Zhang, Y.; Luo, Y.; Zhang, Y.; Wang, Y.; et al. Regulation of flavonoids in strawberry fruits by FaMYB5/FaMYB10 dominated MYB-bHLH-WD40 ternary complexes. Front. Plant Sci. 2023, 14, 1145670. [Google Scholar] [CrossRef]
  36. Schaart, J.G.; Dubos, C.; Romero De La Fuente, I.; van Houwelingen, A.M.M.L.; de Vos, R.C.H.; Jonker, H.H.; Xu, W.; Routaboul, J.M.; Lepiniec, L.; Bovy, A.G. Identification and characterization of MYB-bHLH-WD40 regulatory complexes controlling proanthocyanidin biosynthesis in strawberry (Fragaria × ananassa) fruits. New Phytol. 2013, 197, 454–467. [Google Scholar] [CrossRef]
  37. Tan, L.; Salih, H.; Htet, N.N.W.; Azeem, F.; Zhan, R. Genomic analysis of WD40 protein family in the mango reveals a TTG1 protein enhances root growth and abiotic tolerance in Arabidopsis. Sci. Rep. 2021, 11, 2266. [Google Scholar] [CrossRef]
  38. Hu, R.; Xiao, J.; Gu, T.; Yu, X.; Zhang, Y.; Chang, J.; Yang, G.; He, G. Genome-wide identification and analysis of WD40 proteins in wheat (Triticum aestivum L.). BMC Genom. 2018, 19, 803. [Google Scholar]
  39. Liu, Z.; Liu, Y.; Coulter, A.J.; Shen, B.; Li, Y.; Li, C.; Cao, Z.; Zhang, J. The WD40 Gene Family in Potato (Solanum Tuberosum L.): Genome-Wide Analysis and Identification of Anthocyanin and Drought-Related WD40s. Agronomy 2020, 10, 401. [Google Scholar] [CrossRef]
  40. Feng, R.; Zhang, C.; Ma, R.; Cai, Z.; Lin, Y.; Yu, M. Identification and characterization of WD40 superfamily genes in peach. Gene 2019, 710, 291–306. [Google Scholar] [CrossRef]
  41. Ke, S.; Jiang, Y.; Zhou, M.; Li, Y. Genome-Wide Identification, Evolution, and Expression Analysis of the WD40 Subfamily in Oryza Genus. Int. J. Mol. Sci. 2023, 24, 15776. [Google Scholar] [CrossRef] [PubMed]
  42. Hartmann, U.; Sagasser, M.; Mehrtens, F.; Stracke, R.; Weisshaar, B. Differential combinatorial interactions of cis-acting elements recognized by R2R3-MYB, BZIP, and BHLH factors control light-responsive and tissue-specific activation of phenylpropanoid biosynthesis genes. Plant Mol. Biol. 2005, 57, 155–171. [Google Scholar] [CrossRef] [PubMed]
  43. Hu, B.; Lai, B.; Wang, D.; Li, J.; Chen, L.; Qin, Y.; Wang, H.; Qin, Y.; Hu, G.; Zhao, J. Three LcABFs are Involved in the Regulation of Chlorophyll Degradation and Anthocyanin Biosynthesis During Fruit Ripening in Litchi chinensis. Plant Cell Physiol. 2019, 60, 448–461. [Google Scholar] [CrossRef] [PubMed]
  44. Zheng, J.; Liao, Y.; Xu, F.; Zhou, X.; Ye, J.; Fu, M.; Liu, X.; Cao, Z.; Zhang, W. Genome-wide identification of WD40 superfamily genes and prediction of WD40 genes involved in flavonoid biosynthesis in Ginkgo biloba. Not. Bot. Horti Agrobot. 2021, 49, 12086. [Google Scholar] [CrossRef]
  45. Wang, C.; Tang, Y.; Li, Y.; Hu, C.; Li, J.; Lyu, A. Genome-wide identification and bioinformatics analysis of the WD40 transcription factor family and candidate gene screening for anthocyanin biosynthesis in Rhododendron simsii. BMC Genom. 2023, 24, 488. [Google Scholar] [CrossRef]
  46. Aguilar-Barragán, A.; Ochoa-Alejo, N. Virus-induced silencing of MYB and WD40 transcription factor genes affects the accumulation of anthocyanins in chilli pepper fruit. Biol. Plant. 2014, 58, 567–574. [Google Scholar] [CrossRef]
  47. Goodstein, D.M.; Shu, S.; Howson, R.; Neupane, R.; Hayes, R.D.; Fazo, J.; Mitros, T.; Dirks, W.; Hellsten, U.; Putnam, N.; et al. Phytozome: A comparative platform for green plant genomics. Nucleic Acids Res. 2012, 40, D1178–D1186. [Google Scholar] [CrossRef]
  48. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef]
  49. Yu, D.S.; Lee, D.H.; Kim, S.K.; Lee, C.H.; Song, J.Y.; Kong, E.B.; Kim, J.F. Algorithm for predicting functionally equivalent proteins from BLAST and HMMER searches. J. Microbiol. Biotechnol. 2012, 22, 1054–1058. [Google Scholar] [CrossRef]
  50. Artimo, P.; Jonnalagedda, M.; Arnold, K.; Baratin, D.; Csardi, G.; de Castro, E.; Duvaud, S.; Flegel, V.; Fortier, A.; Gasteiger, E.; et al. ExPASy: SIB bioinformatics resource portal. Nucleic Acids Res. 2012, 40, W597–W603. [Google Scholar] [CrossRef]
  51. Xie, J.; Chen, Y.; Cai, G.; Cai, R.; Hu, Z.; Wang, H. Tree Visualization By One Table (tvBOT): A web application for visualizing, modifying and annotating phylogenetic trees. Nucleic Acids Res. 2023, 51, W587–W592. [Google Scholar] [CrossRef]
  52. Bailey, T.L.; Boden, M.; Buske, F.A.; Frith, M.; Grant, C.E.; Clementi, L.; Ren, J.; Li, W.W.; Noble, W.S. MEME SUITE: Tools for motif discovery and searching. Nucleic Acids Res. 2009, 37, W202–W208. [Google Scholar] [CrossRef]
  53. Xiong, E.; Zheng, C.Y.; Wu, X.L.; Wang, W. Protein subcellular location: The gap between prediction and experimentation. Plant Mol. Biol. Rep. 2015, 34, 52–61. [Google Scholar] [CrossRef]
  54. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
Figure 1. Physicochemical properties and secondary structure analysis of the FvWD40 gene family. (A) Analysis of physicochemical properties of the FvWD40 gene family. (B) Secondary structure analysis of the FvWD40 gene family.
Figure 1. Physicochemical properties and secondary structure analysis of the FvWD40 gene family. (A) Analysis of physicochemical properties of the FvWD40 gene family. (B) Secondary structure analysis of the FvWD40 gene family.
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Figure 2. Phylogenetic developmental analysis of FvWD40 family proteins. Roman numerals represent different subgroups.
Figure 2. Phylogenetic developmental analysis of FvWD40 family proteins. Roman numerals represent different subgroups.
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Figure 3. Motif and gene structure analysis of the FvWD40 gene family. (A) A phylogenetic tree of FvWD40 family proteins. (B) FvWD40 family protein motif analysis. (C) Gene structure analysis of the FvWD40 gene family. (D) Structural domain analysis of FvWD40 family proteins.
Figure 3. Motif and gene structure analysis of the FvWD40 gene family. (A) A phylogenetic tree of FvWD40 family proteins. (B) FvWD40 family protein motif analysis. (C) Gene structure analysis of the FvWD40 gene family. (D) Structural domain analysis of FvWD40 family proteins.
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Figure 4. The chromosomal distribution of FvWD40 family genes. (A) The distribution of FvWD40 family genes on seven chromosomes. Different colors are used to differentiate the gene density on the chromosomes; where red regions represent the highest gene density, while blue regions represent the lowest gene density. The left scale indicates the chromosome length (Mb). (B) The number of genes distributed on each chromosome.
Figure 4. The chromosomal distribution of FvWD40 family genes. (A) The distribution of FvWD40 family genes on seven chromosomes. Different colors are used to differentiate the gene density on the chromosomes; where red regions represent the highest gene density, while blue regions represent the lowest gene density. The left scale indicates the chromosome length (Mb). (B) The number of genes distributed on each chromosome.
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Figure 5. Predictions of subcellular localization of FvWD40 family proteins. The values on the bars reflect the frequency of gene localization in that organelle.
Figure 5. Predictions of subcellular localization of FvWD40 family proteins. The values on the bars reflect the frequency of gene localization in that organelle.
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Figure 6. Covariance analysis of the FvWD40 gene family. (A) Intraspecific covariance analysis of the FvWD40 gene family. Blue lines indicate gene pairs with covariate relationships. The different colors represent the distribution of genes on the chromosomes, where the red areas imply high densities of genes, while the yellow areas imply low densities of genes. (B) Interspecific covariance analysis of the FvWD40 gene family. Blue lines indicate covariant gene pairs between F. vesca WD40 family genes and Arabidopsis and rice.
Figure 6. Covariance analysis of the FvWD40 gene family. (A) Intraspecific covariance analysis of the FvWD40 gene family. Blue lines indicate gene pairs with covariate relationships. The different colors represent the distribution of genes on the chromosomes, where the red areas imply high densities of genes, while the yellow areas imply low densities of genes. (B) Interspecific covariance analysis of the FvWD40 gene family. Blue lines indicate covariant gene pairs between F. vesca WD40 family genes and Arabidopsis and rice.
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Figure 7. Analysis of promoter cis-acting elements of FvWD40 family genes. Different colored squares represent different function elements. Roman numerals represent different subgroups.
Figure 7. Analysis of promoter cis-acting elements of FvWD40 family genes. Different colored squares represent different function elements. Roman numerals represent different subgroups.
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Figure 8. Tissue-specific expression analysis of the FvWD40 family gene. Different colors indicate the level of expression. The darker the color, the higher the expression. The lighter the color, the lower the expression.
Figure 8. Tissue-specific expression analysis of the FvWD40 family gene. Different colors indicate the level of expression. The darker the color, the higher the expression. The lighter the color, the lower the expression.
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Figure 9. Codon preference analysis of the FvWD40 family gene. (A) Relative synonymous codon usage (RSCU) analysis of FvWD40 family genes. The gradient from white to red shows the ascending RSCU values. (B) Correlation analysis of codons in the FvWD40 family of genes. Orange indicates a positive correlation; cyan indicates a negative correlation. (C) Analysis of codon parameters of FvWD40 family genes. “A3s, G3s, C3s, and T3s” represent the frequency of occurrence of each base at the third position of the synonymous codon; “CAI” is used to measure the proximity of the codon usage preference of a gene to the optimally expressed gene; “CBI” reflects the bias of codon usage; “FOP” describes the frequency of occurrence of the optimal codon in a gene; “ENc” provides a measure of the diversity of codon usage; “GC3s” denotes the number of GC base pairs at the third codon position in a gene; and “GC” is the total number of GC base pairs in the entire gene sequence.
Figure 9. Codon preference analysis of the FvWD40 family gene. (A) Relative synonymous codon usage (RSCU) analysis of FvWD40 family genes. The gradient from white to red shows the ascending RSCU values. (B) Correlation analysis of codons in the FvWD40 family of genes. Orange indicates a positive correlation; cyan indicates a negative correlation. (C) Analysis of codon parameters of FvWD40 family genes. “A3s, G3s, C3s, and T3s” represent the frequency of occurrence of each base at the third position of the synonymous codon; “CAI” is used to measure the proximity of the codon usage preference of a gene to the optimally expressed gene; “CBI” reflects the bias of codon usage; “FOP” describes the frequency of occurrence of the optimal codon in a gene; “ENc” provides a measure of the diversity of codon usage; “GC3s” denotes the number of GC base pairs at the third codon position in a gene; and “GC” is the total number of GC base pairs in the entire gene sequence.
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Figure 10. The expression of the FvWD40 gene family at different stages of F. vesca fruit color formation. The S1 stage refers to the period when the fruit is white, the S2 stage refers to the period when the fruit has reached 20% color, the S3 stage is the period when the fruit has reached 50% color, and the S4 stage represents the time when the fruit is fully colored. After performing a systematic expression analysis, we used the 2−∆∆Ct method to determine the relative expression levels of the FvWD40 gene family at other fruit color formation stages, using the S1 stage as a benchmark. The error lines in the graphs show the mean values and their standard errors based on three biological replicates of the experiment. Different letter labeling allows us to observe significant differences between expression levels, while identical lowercase letters indicate that no statistically significant differences were found in these comparisons (p < 0.05). Line graphs represent trends in bar graphs.
Figure 10. The expression of the FvWD40 gene family at different stages of F. vesca fruit color formation. The S1 stage refers to the period when the fruit is white, the S2 stage refers to the period when the fruit has reached 20% color, the S3 stage is the period when the fruit has reached 50% color, and the S4 stage represents the time when the fruit is fully colored. After performing a systematic expression analysis, we used the 2−∆∆Ct method to determine the relative expression levels of the FvWD40 gene family at other fruit color formation stages, using the S1 stage as a benchmark. The error lines in the graphs show the mean values and their standard errors based on three biological replicates of the experiment. Different letter labeling allows us to observe significant differences between expression levels, while identical lowercase letters indicate that no statistically significant differences were found in these comparisons (p < 0.05). Line graphs represent trends in bar graphs.
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Table 1. Selective pressure analysis of FvWD40 family gene.
Table 1. Selective pressure analysis of FvWD40 family gene.
Seq_1Seq_2KaKsKa/Ks
FvWD40-29FvWD40-150.3052228014.374461510.0697738
FvWD40-15FvWD40-660.3039136692.0189406140.150531257
FvWD40-29FvWD40-660.3025528072.0256056560.14936412
FvWD40-6FvWD40-660.89756213.1413953510.285720834
FvWD40-178FvWD40-660.681892892.7428480670.248607606
FvWD40-119FvWD40-660.5535779162.6634746050.207840508
FvWD40-9FvWD40-170.8668852053.5336855870.245320412
FvWD40-181FvWD40-170.7855222342.5496257710.30809315
FvWD40-3FvWD40-170.8942705323.1803367650.28118737
FvWD40-6FvWD40-170.9778320842.2186844280.440726077
FvWD40-175FvWD40-170.9718946222.1991266650.441945722
FvWD40-17FvWD40-600.1897196512.1790572260.087065015
FvWD40-181FvWD40-600.8890359532.4820818890.358181556
FvWD40-3FvWD40-600.8506152983.540841110.240229728
FvWD40-175FvWD40-600.9281533212.6550537140.349579866
FvWD40-17FvWD40-90.8663893023.358503780.257968833
FvWD40-181FvWD40-90.1275789551.430007040.089215613
FvWD40-3FvWD40-90.9075720811.9107352140.474985793
FvWD40-6FvWD40-90.9746562422.964212010.328807872
FvWD40-175FvWD40-90.8909308311.5058222250.591657379
FvWD40-3FvWD40-1811.0393235686.9018067510.150587173
FvWD40-6FvWD40-1810.9379283343.134793130.299199435
FvWD40-175FvWD40-1810.7859671652.217560120.354428797
FvWD40-119FvWD40-1810.9031658162.6775406570.33731171
FvWD40-135FvWD40-1810.9841739693.9289255220.250494432
FvWD40-173FvWD40-30.4150094191.545826950.268470814
FvWD40-175FvWD40-30.846975152.0565464150.41184344
FvWD40-135FvWD40-30.9860515272.2945331540.429739499
FvWD40-6FvWD40-1730.9555133153.3533993520.284938719
FvWD40-175FvWD40-1730.9726395091.7383504170.559518668
FvWD40-135FvWD40-1730.7865377943.6848154890.21345378
FvWD40-175FvWD40-60.0947877171.4212697330.066692279
FvWD40-178FvWD40-60.9071120192.5591854130.354453419
FvWD40-135FvWD40-60.9572016032.4053245780.397951117
FvWD40-9FvWD40-1750.8898007261.6168795210.550319745
FvWD40-119FvWD40-620.6159537512.4741698270.248953707
FvWD40-6FvWD40-1780.9092962122.585105920.351744277
FvWD40-119FvWD40-1780.6563152392.4112385770.272190087
FvWD40-135FvWD40-1190.3116478232.5084256840.124240405
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Yang, H.; Yao, W.; Fan, X.; Lu, Y.; Wang, Y.; Ma, Z. Genome-Wide Identification and Analysis of WD40 Family and Its Expression in F. vesca at Different Coloring Stages. Int. J. Mol. Sci. 2024, 25, 12334. https://doi.org/10.3390/ijms252212334

AMA Style

Yang H, Yao W, Fan X, Lu Y, Wang Y, Ma Z. Genome-Wide Identification and Analysis of WD40 Family and Its Expression in F. vesca at Different Coloring Stages. International Journal of Molecular Sciences. 2024; 25(22):12334. https://doi.org/10.3390/ijms252212334

Chicago/Turabian Style

Yang, Hongyu, Wenxia Yao, Xiangjun Fan, Yang Lu, Yan Wang, and Zonghuan Ma. 2024. "Genome-Wide Identification and Analysis of WD40 Family and Its Expression in F. vesca at Different Coloring Stages" International Journal of Molecular Sciences 25, no. 22: 12334. https://doi.org/10.3390/ijms252212334

APA Style

Yang, H., Yao, W., Fan, X., Lu, Y., Wang, Y., & Ma, Z. (2024). Genome-Wide Identification and Analysis of WD40 Family and Its Expression in F. vesca at Different Coloring Stages. International Journal of Molecular Sciences, 25(22), 12334. https://doi.org/10.3390/ijms252212334

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