Skip to main content
International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2022 May 6;23(9):5201. doi: 10.3390/ijms23095201

Genome-Wide Identification and Expression of MAPK Gene Family in Cultivated Strawberry and Their Involvement in Fruit Developing and Ripening

Mengyao Li 1,, Binghua Li 1,, Min Yang 1, Liangxin Wang 1, Guoyan Hou 1, Yuanxiu Lin 1,2, Yunting Zhang 1,2, Yong Zhang 1, Qing Chen 1, Yan Wang 1,2, Wen He 1,2, Xiaorong Wang 1,2, Haoru Tang 1,2, Guichuan Yang 3,*, Ya Luo 1,*
Editor: María Serrano
PMCID: PMC9104773  PMID: 35563593

Abstract

Studies on many plants have shown that mitogen-activated protein kinases (MAPKs) are key proteins involved in regulating plant responses to biotic and abiotic stresses. However, their involvement in cultivated strawberry development and ripening remains unclear. In this study, 43 FaMAPK gene family members were identified in the genome of cultivated strawberry (Fragaria × ananassa), phylogenetic analysis indicated that FaMAPKs could be classified into four groups. Systematic analysis of the conserved motif, exon–intron structure showed that there were significant varieties between different groups in structure, but in the same group they were similar. Multiple cis-regulatory elements associated with phytohormone response, and abiotic and biotic stresses were predicted in the promoter regions of FaMAPK genes. Transcriptional analysis showed that all FaMAPK genes were expressed at all developmental stages. Meanwhile, the effect of exogenous ABA and sucrose on the expression profile of FaMAPKs was investigated. Exogenous ABA, sucrose, and ABA plus sucrose treatments upregulated the expression of FaMAPK genes and increased the content of endogenous ABA, sucrose, and anthocyanin in strawberry fruits, suggesting that ABA and sucrose might be involved in the FaMAPK-mediated regulation of strawberry fruit ripening. Based on the obtained results, MAPK genes closely related to the ripening of strawberries were screened to provide a theoretical basis and support for future research on strawberries.

Keywords: cultivated strawberry, mitogen-activated protein kinases, genome-wide analysis, expression pattern, evolution, ABA and sucrose treatment, fruit ripening

1. Introduction

Plants encounter various biotic and abiotic stresses, such as drought, extreme temperatures, salinity and pathogens, throughout their life cycle. To adapt to these adverse stresses, plants have evolved to develop complex resistance mechanisms to maintain their integral structure and functions [1,2]. These resistance mechanisms rely on complex regulatory systems, including wide arrays of signal transduction pathways. Phosphorylation through protein kinases is among the main mechanisms in response to extracellular signaling and has been shown to have essential roles in plants’ stress resistance, growth, and development [3,4,5].

The mitogen-activated protein kinases (MAPKs) cascade is among the key pathways in eukaryotic signal transduction that modulate various cellular signaling cascades and influence the fundamental biological processes of eukaryotes [6,7]. The MAPK signaling cascade mainly comprises of three functional interlinked protein kinases: MAPK, MAPK kinase (MAPKK), and MAPKK kinase (MAPKKK). They operate as sequential signal transducers that transfer information from the cellular environment to transcriptional and metabolic response centers via phosphorylation. MAPKKKs are located upstream of multiple signal transduction cascades. They activate MAPKKs by phosphorylating the serine/threonine residues in the S/TXXXXXS/T (X represents any amino acid) motif, which sequentially phosphorylate the conserved threonine and tyrosine residues in the TXY motif of MAPKs to activate it. Activated MAPKs then act on different effector proteins in the cytoplasm or nucleus to regulate the expression of specific genes that enable plants to respond to biotic and abiotic stresses [8,9,10].

MAPKs comprise a family of serine/threonine protein kinases that contains 11 conserved domains. Phosphorylation of its activation TXY site occurs between VII and VIII subdomains. Plant MAPKs can be divided into four groups, A, B, C and D, based on TXY motifs. Groups A, B and C possess a TEY phosphorylation motif, while group D contains a TDY phosphorylation motif [8,11]. Studies have identified multiple MAPK genes in plants. For example, plant genome sequencing revealed 20 MAPKs in Arabidopsis [8], 19 in maize [12], 15 in rice [13], and 26 in apple [14]. Currently, a large number of functional studies on MAPK genes have been reported that they are involved in almost all activities of plants during their life cycle. For example, AtMAPK4 and AtMAPK6 in Arabidopsis were identified as important regulator genes of corresponding pathogen infection and abiotic stress in plants [15]. AtMAPK9 and AtMAPK12 are involved in biotic stress responses [16].

Abscisic acid (ABA) and sucrose have been shown to be among the central signaling molecules coordinating the ripening of fruits such as strawberry [17], tomato [18] and citrus [19]. It was also found that the regulation of fruit ripening by ABA is associated with sucrose [20]. As an important phytohormone, ABA participates in various signal transduction pathways, including MAPK signaling. It was shown that ABA activates MPK1 and MPK2 in an SRK2D/E/I-dependent manner and establishes a direct link between ABA and MAPK modules [21]. In Arabidopsis, the MAP3K17/18-MKK3-MPK1/2/7/14 cascade is induced by activating the ABA core signaling module following ABA treatment or drought-related stresses [22]. However, despite studies showing MAPK cascades as important signal transduction pathways in the downstream signals regulated by ABA, these have been limited to abiotic stresses.

Strawberry serves as an ideal model plant for studying non-climacteric fruit ripening. Although studies have shown that MAPKs are key proteins implicated in plant stress responses and ABA functions as one of the key signals regulating strawberries’ development, little is known about this gene family or their functions in cultivated strawberries (Fragaria × ananassa). In this study, we aimed to perform a comprehensive study on the gene structure, phylogeny, cis-acting element, evolutionary, and the expression level of the MAPK gene family in cultivated strawberries to provide a theoretical basis for improving cultivated strawberry’s stress resistance and development.

2. Results

2.1. Identification and Analysis of FaMAPKs in Cultivated Strawberry

After homologous alignment and conservative domain verification through the GDR database, a total of 43 genes encoding FaMAPK proteins were identified and renamed based on the homology of FvMAPKs (Table S1). The corresponding specific gene name, amino acid length, open reading frame (ORF) size, protein molecular weight, theoretical isoelectric point (pI), instability index, grand average of hydropathicity (GRAVY) and subcellular localizations are summarized in Table 1. The deduced length of FaMAPKs proteins ranged from 364 to 1010 amino acids. The amino acids are composed mainly of leucine (Leu), isoleucine (Ile) and glutamate (Glu). The ORF size of FaMAPKs ranged from 2099 bp (FaMAPK7-4) to 10,382 bp (FaMAPK9-1). In addition, the molecular weight of the 43 proteins ranged from 41.73 to 115.25 kD and the pI ranged from 5.05 to 9.34. The instability index ranged from 30.22 to 51.00. The GRAVY values of all proteins ranged from −0.773 to −0.184, suggesting that FaMAPKs are hydrophilic proteins [23]. Subcellular localization prediction revealed that most FaMAPK genes were located in the cytoplasm, while only a few were located in the nucleus, cytoskeleton, chloroplast, mitochondria and extracellular matrix.

Table 1.

Physical and chemical aspects of MAPK genes in the cultivated strawberry.

Gene Name Amino Acid/aa ORF/bp Molecular Weight/kD pI Instability Index GRAVY Subcellular Localization
FaMAPK1-1 375 3674 42.76 5.96 39.12 −0.265 Cytoplasm
FaMAPK1-2 372 2731 42.84 6.09 38.82 −0.277 Cytoplasm
FaMAPK1-3 372 2929 42.81 6.09 37.31 −0.282 Cytoplasm
FaMAPK1-4 372 3597 42.73 5.96 37.71 −0.272 Cytoplasm
FaMAPK3-1 388 2703 44.59 5.52 37.52 −0.196 Cytoplasm
FaMAPK3-2 371 3006 42.64 5.54 38.41 −0.251 Cytoplasm
FaMAPK3-3 371 2919 42.71 5.62 39.46 −0.266 Cytoplasm and Nucleus
FaMAPK4-1a 373 6027 42.72 6.08 44.34 −0.337 Cytoplasm
FaMAPK4-1b 373 6924 42.67 6.08 43.90 −0.329 Cytoplasm
FaMAPK4-1c 373 4449 42.67 6.08 43.90 −0.329 Cytoplasm
FaMAPK4-1d 373 4405 42.67 6.08 43.90 −0.329 Cytoplasm
FaMAPK4-1e 373 4499 42.67 6.08 43.90 −0.329 Cytoplasm
FaMAPK4-1f 373 7167 42.68 6.08 42.19 −0.329 Cytoplasm
FaMAPK4-2a 405 5228 45.92 6.17 45.52 −0.281 Cytoplasm
FaMAPK4-2b 377 5289 43.23 6.28 45.32 −0.368 Cytoplasm
FaMAPK4-2c 410 5413 46.65 6.54 45.05 −0.298 Cytoplasm
FaMAPK4-2d 410 4164 46.68 6.43 44.41 −0.301 Cytoplasm
FaMAPK6-1 391 3584 44.75 5.60 40.29 −0.292 Cytoskeleton
FaMAPK6-2 390 3913 44.71 5.46 41.08 −0.312 Nucleus
FaMAPK6-3 391 3948 44.77 5.58 39.98 −0.277 Cytoskeleton
FaMAPK7-1 376 2842 43.41 8.02 33.67 −0.219 Cytoplasm
FaMAPK7-2 434 2675 49.68 9.02 39.13 −0.366 Cytoplasm
FaMAPK7-3 389 2846 44.84 8.57 34.20 −0.205 Cytoplasm
FaMAPK7-4 415 2099 47.61 8.63 30.22 −0.246 Cytoplasm
FaMAPK9-1 691 10,382 78.41 8.07 44.61 −0.644 Chloroplast
FaMAPK9-2 615 5875 69.64 6.40 41.81 −0.592 Mitochondria
FaMAPK9-3 692 4853 78.07 6.39 41.57 −0.580 Nucleus
FaMAPK9-4 713 4733 80.47 6.76 41.94 −0.579 Cytoplasm
FaMAPK13-1 377 3648 43.06 5.16 44.44 −0.184 Cytoplasm
FaMAPK13-2 364 3789 41.73 5.16 43.42 −0.268 Extracellular matrix
FaMAPK13-3 365 3794 41.83 5.05 42.04 −0.284 Extracellular matrix
FaMAPK16-1 561 5872 63.80 8.73 36.05 −0.476 Cytoplasm
FaMAPK16-2 561 6121 63.77 8.64 35.21 −0.483 Cytoplasm
FaMAPK16-3 561 6052 63.82 8.80 36.10 −0.477 Cytoplasm
FaMAPK17-1 1010 7286 115.25 8.21 50.90 −0.770 Nucleus
FaMAPK17-2 966 7019 109.89 8.21 51.00 −0.773 Nucleus
FaMAPK17-3 580 5173 66.33 7.07 38.18 −0.548 Chloroplast
FaMAPK17-4 582 5018 66.35 7.34 39.18 −0.546 Chloroplast
FaMAPK19-1 691 5431 78.60 9.29 33.20 −0.246 Cytoplasm
FaMAPK19-2 607 4715 68.88 9.34 31.18 −0.392 Cytoplasm
FaMAPK19-3 597 4641 67.93 9.23 32.44 −0.414 Cytoplasm
FaMAPK20-1 633 5919 72.43 9.11 38.10 −0.446 Cytoplasm
FaMAPK20-2 618 6221 70.66 9.23 37.11 −0.484 Cytoplasm

These 43 FaMAPK genes were widely distributed in 25 of 28 cultivated strawberry chromosomes, whose gene numbers ranged from 1 to 3 (Figure 1). Fvb1-2 and Fvb3-3 had the highest number of FaMAPK genes, with three FaMAPK genes. In addition, the homologous genes were almost all located on adjacent chromosomes (except FaMAPK1-3). For example, FaMAPK7-1, FaMAPK7-2, FaMAPK7-3, and FaMAPK7-4 were located on Fvb1-1, Fvb1-2, Fvb1-3, and Fvb1-4, respectively.

Figure 1.

Figure 1

Chromosomal localization of the FaMAPKs. The chromosome number is indicated at the top of each chromosomal. The Fvb2-2, Fvb6-2 and Fvb6-4 chromosomes without FaMAPK gene localization are not showed.

2.2. Phylogenetic Relationships and Multiple Sequences Alignment of FaMAPK Proteins

To analyze the phylogenetic relationships and classification of the FaMAPK gene family members, a phylogenetic tree was constructed based on the amino acid sequences of 20 AtMAPKs from Arabidopsis, 12 FvMAPKs from Fragaria vesca and 43 FaMAPKs from F. × ananassa (Figure 2). We observed that all MAPK proteins were divided into four cluster groups: A, B, C, and D, which included 6, 13, 8, and 16 FaMAPKs, respectively.

Figure 2.

Figure 2

Phylogenetic tree of MAPK genes from Aradiopsis, F. vesca and F. × ananassa based on the amino acid sequences. Genes are grouped by different color blocks. The white triangles, circles and pentagrams indicated the MAPK genes in Arabidopsis thaliana (At); F. vesca (Fv); F. × ananassa (Fa).

To further analyze the sequence features of these 43 FaMAPK proteins, multiple sequence alignments of MAPK amino acid sequences were performed (Figures S1 and S2). The results showed a specific conserved motif on the N-terminal of the FaMAPKs. The conserved motifs of group B were RKY, SKY and DKY, while they were NKY and AKY in group A, TKY and SKY in group C, and NRY, SRY and SQY in group D. The conservative N-terminal motif was followed by a highly conservative region consisting of 11 featured domains. The FaMAPK proteins also contained P-loop, C-loop, Activation-loop and highly conserved distinct subdomains. The activate-loop subdomain, also known as T-loop, was located between the VII and VIII subdomains. All the FaMAPK family members contained a TXY motif. The conservative C-terminal motif also varied based on the groups of FaMAPKs. The core sequence was SDE in group B, SDY in group A, DNY in group C, and SKY (except FaMAPK19-1) in group D. In addition, the conserved domain in the (LH)DXXDE(P)XC (X represents any amino acid) sequence was detected only in groups A and B (except for FaMAPK13-1 and FaMAPK13-2), and is considered to act as a binding site for upstream MAPKK in the MAPK cascade. Multiple sequences alignment revealed that at least 58 gene pairs with more than 90% sequence similarity were homologous genes, and all pairs were located on their adjacent chromosome (Table S2). The highest percentage of amino acid sequence identity was found in FaMAPK4-1b/c, FaMAPK4-1b/d, FaMAPK4-1b/e, FaMAPK4-1c/d, FaMAPK4-1c/e and FaMAPK4-1d/e (100.00%).

2.3. Structure and Motif Location Analysis of FaMAPKs

The gene structure of FaMAPKs was investigated to explore the various biological functions of the conserved domains (Figure 3). A total of 13 motifs were found in the FaMAPK sequences (Figure 3B and Table S3). Motifs 1–6 appeared in almost all FaMAPK members with the same number and distribution location, except for FaMAPK4-2a, which lacked motif 4, indicating that they are highly conservative. In addition, we observed that motifs 1–5 were annotated as protein kinase domains, indicating that all FaMAPKs belonged to the typical MAPK family.

Figure 3.

Figure 3

Phylogenetic relationships, conserved protein motifs and gene structure analysis of FaMAPK genes. (A) Phylogenetic tree of FaMAPK gene family. (B) Distribution of motifs of FaMAPK proteins. (C) The conserved domains in FaMAPK proteins. (D) Exon–intron structure of FaMAPK genes.

MAPKs are a group of serine/threonine protein kinases widely studied in plants, of which the conserved threonine and tyrosine residues TXY represent an important ATP phosphate activation site. Based on their TXY motif, plant MAPKs can be classified into TEY and TDY subtypes, whereby X can represent E or D. The TDY motif is unique to plants. In this study, conserved domain analysis of the FaMAPK members showed that groups A, B and C had the same conserved domains (STKc_TEY_MAPK), while group D had the STKc_TDY_MAPK domain (Figure 3C). The exon–intron structure of the 43 FaMAPK genes was analyzed, and the results showed that the numbers of exons and introns of the same group were comparatively conserved (Figure 3D). In contrast, the numbers of exons and introns in group D were significantly more extended than other groups, suggesting that the function of group D might be different from the other three groups.

2.4. Synteny Analysis of the MAPK Genes in Arabidopsis, F. vesca and F. × Ananassa

Collinearity analysis identified that 49 FaMAPK gene pairs in F. × ananassa were collinear pairs (Figure 4). Most of the FaMAPKs pairs co-located in the same or adjacent chromosome were fragmental duplications. To determine the evolutionary relationship and degree of homology among Arabidopsis, F. vesca and F. × ananassa, their comparative synteny at the genome level was analyzed to elucidate the FaMAPKs’ origin (Figure 5). We observed 41,047 synteny blocks between Arabidopsis and F. × ananassa genomes, of which 30.24% were collinear. Comparatively, there were 866,968 synteny blocks between F. vesca and F. × ananassa genomes. Collinearity analysis of FaMAPKs and FvMAPKs showed that F. × ananassa has a close relative of F. vesca, and that there could have been a four-time relationship for doubling and replicating the chromosomes and genes between them during evolution.

Figure 4.

Figure 4

Segmental duplication and synteny analysis of FaMAPKs. Chromosome of cultivated strawberry was distinguished by different color. Each FaMAPK gene is marked with a short line on the chromosome, and the red curve indicates a collinear gene pair.

Figure 5.

Figure 5

Collinearity analysis of MAPK genes among Arabidopsis, F. × ananassa and F. vesca genomes. Colored circular rectangles denote the chromosomes of three plants. Grey curves indicate collinear blocks within the genomes, and the red curves represent gene pairs that are collinear with MAPK genes.

2.5. Analysis of Cis-Regulatory Elements of FaMAPK Genes

All cis-regulatory elements in the promoter regions of FaMAPK genes were analyzed. They were classified into two groups based on their functional associations: abiotic and biotic stresses (ARE, LTR, MBS, TC-rich repeats and WUN-motif), and phytohormone responses (ABRE, CGTCA motif/TGACG motif, ERE and TCA-element) (Figure 6 and Figure S3). Except for FaMAPK4-1a/b/d/e/f, FaMAPK7-1/2/3/4, FaMAPK9-4 and FaMAPK13-1, all the other FaMAPK genes contained the antioxidant response element (ARE), which represents the cis-acting regulatory element essential for anaerobic induction. The low-temperature responsiveness element (LRT), drought inducibility element (MBS), defense and stress responsiveness element (TC-rich repeats), and wound responsive element (WUN-motif) appeared 28, 28, 8, and 16 times, respectively. The abscisic acid responsiveness (ABRE), MeJA responsive element (CGTCA motif/TGACG motif), ethylene response element (ERE), and salicylic acid response element (TCA-element) appeared 65, 42, 15, and 18 times, respectively. Interestingly, most FaMAPK gene promoters, except for FaMAPK4-1f, FaMAPK4-2b and FaMAPK4-2d, contained one or more phytohormone response elements. These results suggest that the FaMAPK gene family may have important roles in the physiological functions of plants.

Figure 6.

Figure 6

Analysis of cis-regulatory elements in the promoter regions of FaMAPK genes. The figures indicate the number of each cis-regulatory element in the promoter region (1.5 kb upstream of the translation start site) of the FaMAPK genes. Based on functional annotations, the cis-regulatory elements can be classified into two major classes: phytohormone response-related, and abiotic and biotic stresses-related cis-elements.

2.6. Transcript Abundance Analysis of FaMAPK Genes in Strawberry

To investigate the role of MAPK genes during fruit development, we examined the developmental expression pattern of the FaMAPK genes. We observed that all FaMAPK genes were expressed in the developmental stages (Figure 7). Most of the FaMAPK genes were highly expressed, especially in groups A and D. FaMAPK3-3, 7-4, 16-1, and 20-1 demonstrated the highest expression, while FaMAPK4-2a, 4-2b, 4-2c, and 4-2d demonstrated the weakest expression. The gene expressions of homologous gene pairs were similar.

Figure 7.

Figure 7

Transcript abundance of FaMAPK genes at different fruit developmental stages. FPKM values of FaMAPK genes were transformed by log2(FPKM + 1), and the heatmap was constructed with TBtools software. Midgreen: medium green stage; Initial: initial red stage; Full: full-red stage.

To investigate the underlying regulatory mechanism of MAPK genes during fruit ripening, we examined the expression pattern of the FaMAPK genes in response to exogenous ABA and sucrose. Our findings showed differential expression patterns of FaMAPK genes after exogenous ABA and sucrose treatments (Figure 8). The expression levels within homologous genes varied significantly. For instance, the expression of FaMAPK3-1 and 3-3 was upregulated in response to treatments, while that of FaMAPK3-2 did not change. Further, we observed that ABA and ABA plus sucrose induced the expression of several MAPK genes, such as FaMAPK3-1, 3-3, 7-3, and 7-4. In contrast, the expression of FaMAPK genes in group B was relatively low, while FaMAPK20-1 was highest in CK but decreased following treatments in strawberry fruit.

Figure 8.

Figure 8

Transcript abundance of FaMAPK genes at exogenous ABA and sucrose treatments. CK: control; ABA: abscisic acid; SUC: sucrose; AS: the mixture of abscisic acid and sucrose. FPKM values of FaMAPK genes were transformed by log2(FPKM + 1), and the heatmap was constructed with TBtools software.

2.7. Validation of the Expression of FaMAPK Genes by qRT-PCR

qRT-PCR analysis was performed to validate the accuracy of the transcriptome profiles. We quantified the expression of eight FaMAPK genes during fruit development and further explored the impact of exogenous ABA and sucrose on gene expression during fruit ripening. Our findings showed that these eight FaMAPK genes demonstrated stage-specific expression patterns during fruit development (Figure 9). The expression levels of FaMAPK1-3 and 3-3 peaked in the full-red stage, while that of FaMAPK 4-1d, 9-3 and 13-3 increased significantly and peaked in the initial red stage. The expression of FaMAPK20-1 decreased in the developmental stage. No significant change was detected in the expression of FaMAPK7-4 and 17-2.

Figure 9.

Figure 9

Expression profiles of FaMAPK genes at different fruit developmental stages.

After ABA treatment, the expression of four genes, including FaMAPK7-4, 9-3, 13-3 and 17-2, was significantly upregulated compared with control, whereas that of FaMAPK4-1d and 7-4 increased under the sucrose treatment (Figure 10). In addition, the relative expression of six genes, except for FaMAPK1-3 and 20-1, was highly expressed under the ABA plus sucrose treatment. The expression of FaMAPK 20-1, only under ABA treatment, was decreased. Overall, the results of RNA-Seq and qRT-PCR analysis were consistent, suggesting that the FaMAPK genes may be involved in the developmental and ripening processes of cultivated strawberries.

Figure 10.

Figure 10

Expression profiles of FaMAPK genes at exogenous ABA and sucrose treatments.

2.8. Effects of Exogenous ABA and Sucrose on Strawberry Fruit Ripening

The ABA, sucrose and total anthocyanin content in strawberry fruits varied with different treatments, and the difference in the content of titratable acid among these treatments was not significant (Figure 11). The highest ABA content in the fruits was found in the ABA plus sucrose treatment, followed by ABA-only and sucrose-only treatments. The ABA content in all treatment groups was all significantly higher than in the control group. The sucrose content demonstrated the same variation trends as ABA content, with the sucrose content under ABA plus sucrose treatment being higher than that under ABA or sucrose treatments. Compared with control, the total anthocyanin content increased significantly in response to ABA, sucrose, and ABA plus sucrose. The difference in total anthocyanin content between the three treatments was highly significant.

Figure 11.

Figure 11

Effect of exogenous sucrose and ABA on the development of strawberry fruits. (A) ABA content; (B) Sucrose content; (C) Titratable acid content; (D) Total anthocyanin content. CK: control; ABA: abscisic acid; SUC: sucrose; AS: the mixture of abscisic acid and sucrose. Each bar represents the mean ± SD, T-test at the significance level of 0.05 (p < 0.05), different letters (a–d) indicate significant difference, and the same letters indicate insignificant differences.

Correlation analysis showed that ABA, sucrose, acid, and anthocyanin changes were positively correlated, implying that ABA and sucrose had a role in strawberry ripening (Table 2). The expression of most FaMAPK genes was significantly and positively correlated with the changes of ABA, sucrose, titratable acid and total anthocyanin. The content of ABA was highly correlated with the relative expression FaMAPK3-3 and FaMAPK4-1d, indicating that these genes could promote the ripening of strawberry fruits. In contrast, the expression of FaMAPK20-1 was negatively correlated with ABA, sucrose and anthocyanin. Overall, the trend of gene expression was the same as that of the accumulation of ABA, sucrose and anthocyanin, suggesting that sucrose and ABA could co-regulate fruit ripening by influencing the expressions of FaMAPK genes.

Table 2.

Correlation coefficient between relative expression level of FaMAPK genes with ABA, sucrose, titratable acid and total anthocyanin content under exogenous sucrose and abscisic acid treatments.

Expression Level ABA Content Sucrose Content Titratable Acid Content Total Anthocysnin Content
FaMAPK1-3 FaMAPK3-3 FaMAPK4-1d FaMAPK7-4 FaMAPK9-3 FaMAPK13-3 FaMAPK17-2 FaMAPK20-1
ABA content 0.280 0.955 * 0.999 ** 0.923 0.632 0.943 0.628 −0.360 1
Sucrose content −0.012 0.864 0.789 0.646 0.170 0.606 0.128 −0.175 0.816 1
Titratable acid content 0.651 0.838 0.615 0.298 −0.128 0.392 −0.092 0.470 0.641 0.707 1
Total anthocysnin content −0.099 0.855 0.893 0.853 0.482 0.798 0.434 −0.473 0.906 0.941 0.524 1

* means significant differences at 0.05 level; ** means significant differences at 0.01 level.

3. Discussion

MAPKs belong to the serine/threonine-protein kinase family. At present, the functions of MAPK genes have been well studied in Arabidopsis, rice, maize and other plants. However, there is little knowledge on the role of the MAPK gene family in cultivated strawberry, which is one of the most popular fruits, well known for its nutritional value and unique flavor. In this study, we identified a total of 43 MAPK genes in cultivated strawberries, which is greater than the number of identified MAPK genes in any other plant species, such as Arabidopsis (20 genes) [8], rice (15 genes) [13], wild strawberry (12 genes) [24], barley (20 genes) [25] and Fagopyrum tataricum (16 genes) [26]. Multiple sequences alignment and phylogenetic tree analysis showed that the FaMAPK family members could be classified into four groups based on TXY motifs. Groups A, B and C contained a TEY amino acid motif, while group D contained a TDY amino acid motif. A close genetic association was found between cultivated and wild strawberries in terms of MAPK genes and demonstrated consistent subgroups division [24], indicating that MAPK members in strawberries are relatively conservative in evolution. During the long evolution of plants, many genes have either expanded or contracted. There are reports showing a number of plant species that retained some characteristics of their common ancestors and also developed their own unique characteristics. However, the gene number of each group varies within different species, and group D was demonstrated to have the largest number of members. Here, we found that the number of group B members in cultivated strawberries was significantly greater than other species, suggesting that this group had undergone significant expansion through the evolution of cultivated strawberries. These may have contributed to the ability of strawberries to adapt to significant environmental changes and retain a key role in plant adaptation.

The gene structure of a family member is closely related to its gene expression and functional variations [27]. All members of the FaMAPK gene family contain motifs 1–5, which are the conserved motifs of the MAPK family. Additionally, there are 1–2 unique motifs between different groups, indicating that the conserved motifs in the MAPK genes support their close evolutionary relationship, while there might be different functional divisions when participating in biological processes between different groups [7]. The distribution of introns and exons in the gene structure of the MAPK family in cultivated strawberries also demonstrated some extent of regularity, for instance, group C contains only 3–4 exons, while group D contains more than 10 exons. Similar intron/exon structural patterns of MAPKs were observed in other plants, representing the highest level of intron/exon variations between groups and high conservation within a group. Cis-acting elements, such as ABA-responsive elements (ABRE), methyl jasmonate (MeJA)-responsive motifs (CGTCA motif and TGACG motif), low temperature-responsive (LTR) and antioxidant response element (ARE), play key roles in plant growth, development and stress responses [28,29]. In this study, we found that the promoter of FaMAPK genes was enriched with many cis-elements, namely ARE, ABRE and MeJA response elements, suggesting that they may have crucial roles in the regulation of different plant processes such as growth, development and stress responses. The promoters of FaMAPK genes are enriched with a large number of cis-elements, especially ARE and ABRE and methyl jasmonate-responsive element (CGGTCA-motif), which are speculated to be involved in growth and development and various biological processes. Previous studies have also found that MeJA and ABA response elements were abundant in the promoters of MAPK genes of cotton [30] and kiwifruits [31].

Currently, there is substantial evidence showing that MAPK genes are implicated in regulating almost all life activities of plants, including plant growth and immune response. AtMAPK3 and AtMAPK6 were initially thought to be involved in stress responses and hormone signal transduction but were later found to be also involved in plant growth and development [32]. Deletion of mapk4 was shown to result in a mutant defect during meiotic cytokinesis [33]. Another study reported that the OsMKKK10-OsMKK4-OsMAPK6 cascade positively regulates grain size and weight in rice [34]. However, there are limited reports on the involvement of the MAPK cascades in the development and maturation of strawberries. In this study, the expression patterns of the MAPK family members during strawberry fruit development were analyzed. We observed that all MAPKs were expressed in the fruit’s developmental stages, and the expression levels of groups A and D were high, indicating that these two groups have important roles in the development of strawberries at the morphological level. Promoter analysis of the members of these two groups revealed that they contained multiple cis-elements, for instance, ABRE and CGTCA-motif, that are related to plant development and hormonal regulation.

ABA and sucrose was shown to have key roles in the regulation of fruit development [35]. To further explore the impact of exogenous ABA and sucrose on strawberry fruit ripening and gene regulation, different treatments of exogenous ABA, sucrose, and ABA plus sucrose were used to spray on fruits. Compared with control, the three treatments used could promote the content of endogenous ABA, sugar and anthocyanin in mature strawberries, while fruits that were treated with ABA plus sucrose had the highest content. External application of sucrose and ABA promoted the rapid accumulation of anthocyanins, which was confirmed in bilberry [36], grape [37] and strawberry [38]. Further, the external application of sucrose was shown to promote the increase of endogenous ABA content in strawberry fruits [20,39]. Therefore, it is speculated that the external application of sucrose could indirectly promote anthocyanin accumulation and fruit maturation by inducing an increase in endogenous ABA. Previous studies identified a signal connection between ABA and MAPK modules, such as OsMAPK5 in rice [40] and MdMPK1 in apple [41], which could also be activated by ABA. In this study, based on transcriptome expression abundance and qRT-PCR validation, we found that ABA could significantly promote the expression of several MAPK genes. In addition, exogenous ABA and ABA plus sucrose could also promote the expression of MAPK genes, especially FaMAPK3-1, 3-3, 7-3 and 7-4. Here, we showed that treatment with ABA plus sucrose demonstrated the strongest induction effect on the expression of MAPK genes and had the most significant effect in promoting fruit ripening and anthocyanin accumulation, indicating a synergistic or superposition effect between them.

4. Materials and Methods

4.1. Characterization, Phylogenetic, and Physicochemical Properties Analysis of MAPK Genes in the F. × ananassa Genome

The F. × ananassa genome sequence data used in our study are available within the GDR database (https://www.rosaceae.org/; accessed on 1 July 2021). Using local blast-p with BioEdit software, the 20 amino acid sequences of MAPK genes in Arabidopsis and the 12 in wild strawberry were used as query sequences to identify homologous genes. All the putative MAPK proteins were screened using Pfam (http://pfam.xfam.org/; accessed on 1 July 2021), NCBI CDD (https://www.ncbi.nlm.nih.gov/cdd/; accessed on 1 July 2021) and InterProScan (http://www.ebi.ac.uk/interpro/; accessed on 1 July 2021) to remove the typical conservative sequences of Serine/Threonine protein kinases and the most fundamental TDY or TEY markers in the activation loop motif. All the non-redundant gene sequences encoding complete amino acid sequences were considered as FaMAPK genes.

Using the ProtParam tool (http://www.expasy.org/tools/protparam.html; accessed on 5 July 2021), amino acid numbers, molecular weights, predicted theoretical isoelectric points (pI), instability index and chemical properties data were predicted. Using ClustalX software and setting default parameters, amino acid sequences were performed by multiple alignment, while GeneDoc software was used to modify manually. Accounting to previous studies of MAPK proteins in Arabidopsis, apple and wild strawberry, MEGA was used to construct a phylogenetic tree based on the neighbor joining (N–J) method with a bootstrap value of 1000. The tree was beautified by using the Evolview website (http://120.202.110.254:8220/evolview; accessed on 1 July 2021). The specific conserved domains in the MAPK family were searched on NCBI (https://www.ncbi.nlm.nih.gov; accessed on 1 July 2021) and the conserved domains were predicted by InterProScan (http://www.ebi.ac.uk/Tools/InterProScan/; accessed on 1 July 2021). MEME was used to identify conserved motifs and TBtools software was used to visualize the evolution motifs and e genetic structures of the MAPK family in cultivated strawberry. Subcellular localization analysis was performed Using WOLF PSORT (https://www.genscript.com/wolf-psort.html/; accessed on 5 July 2021). All cis-regulatory elements in the 1500 bp upstream gene promoter are available through the PlantCARE website (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/; accessed on 20 July 2021). The homologous gene pair of the MAPK gene family in F. × ananassa, F. vesca and Arabidopsis were identified using the OrthoMCL software (https://orthomcl.org/orthomcl/; accessed on 20 July 2021). Gene pair collinearity was determined using the MCScanX software (http://chibba.pgml.uga.edu/mcscan2; accessed on 20 July 2021) and then plotted using the Circos software (http://circos.ca/software/download/; accessed on 20 July 2021).

4.2. Plant Materials and Treatments

The experimental samples were strawberry cultivar F. × ananassa cv. Bebihoppe, which were selected for listing at the flowering stage with consistent growth. The fruits at midgreen, initial red and full-red stages were collected separately. The concentrations of exogenous ABA and sucrose refer to the previous reports by our research group [39]. A total of 500 strawberry fruits from at least 100 plants were in similar shape and size and without physical injuries or microorganisms infection, and were randomly selected and tagged. With water as the control, the strawberry fruits at the de-greening stage (18 days after anthesis) were sprayed with 95 uM ABA, 100 mM sucrose and the mixture of ABA and sucrose (1:1) at the degreening stage (18 d after anthesis) until dripping. The fruits were harvested on the 8th day after spraying, and quickly frozen in liquid nitrogen and then stored at −80 °C for further analysis.

4.3. RNA Extraction and cDNA Synthesis

Accounting to the improved CTAB method [42], total RNA was extracted from fruits at different treatments with slight modifications. The extracted RNA was quantified by nucleic acid protein instrument and electrophoresed on a 1.0% agarose gel to verify its integrity. First-strand cDNA was synthesized referring to the instructions of the reverse transcription kit of Beijing Quanshijin Biotechnology Co., Ltd. (Beijing, China).

4.4. Quantitative Transcript Analysis and Quantitative Real-Time PCR (qRT-PCR) Verification

The transcript abundance of all MAPK genes in strawberry was obtained from the transcriptome sequencing data that had been submitted to a public database (NCBI: PRJNA565646, PRJNA552213). The transcript abundance of FaMAPK genes in different development stages and treatments was counted by HTSeq [43], and FPKM (fragments per kilo base of exon per million fragments mapped) was then calculated to estimate the expression level [44].

Among all genes, eight FaMAPKs that might be associated with fruit ripening were selected to examine their expression. qRT-PCR was performed with SYBR qPCR Mix (Vazyme Biotech Co., Nanjing, China) using a Bio-Rad CFX96 real-Time System (Bio-Rad, CA, USA). The experiments were repeated in three independent bio-replicates and tech-replicates, and FaActin was used as the internal control to normalize gene expression. The relative expression levels of FaMAPKs were calculated based on the 2−ΔΔCT method. The primer sequences were designed using Primer Premier 5.0 software (version 5.0; Premier Biosoft International: Palo Alto, CA) and the sequence information is listed in Table S4.

4.5. Determination of ABA, Sucrose, Titratable Acid, and Total Anthocysnin Content

The fruit ABA content was measured by a plant ABA ELISA Kit (Jiancheng, Nanjing, China). The sucrose content was determined by the plant tissue sucrose content detection kit (Jiancheng, Nanjing, China). The titratable acid (total acid) content was measured by phenolphthalein titration. Total anthocyanins were measured by the method depicted [45]. Each treatment included three replicates, and each repeat included 10 fruit individuals.

5. Conclusions

In this study, a total of 43 MAPK gene family members were identified in F. × ananassa We performed a comprehensive analysis of the FaMAPK family genes, including phylogeny, chromosomal localization, gene structure, cis-regulatory element, evolution, and expression profiling. An in-depth study was performed to clarify the involvement of FaMAPK genes in fruit developing and ripening. The results of this study provide a theoretical basis for enriching MAPKs to regulate strawberry ripening and enhance our understanding of the molecular mechanism of key genes regulated by ABA and sucrose in strawberry ripening.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms23095201/s1.

Author Contributions

Conceptualization, M.L. and Y.L. (Ya Luo); data curation, B.L., M.Y., L.W. and G.H.; funding acquisition, G.Y. and Y.L. (Ya Luo); investigation, B.L., Y.Z. (Yunting Zhang) and Y.W.; methodology, M.Y., Y.L. (Yuanxiu Lin), Y.W. and W.H.; resources, Y.Z. (Yong Zhang); software, L.W., G.H., Y.L. (Yuanxiu Lin), Y.Z. (Yunting Zhang), Q.C. and W.H.; supervision, Y.Z. (Yong Zhang), Q.C., X.W. and H.T.; writing—original draft, M.L. and B.L.; writing—review and editing, G.Y. and Y.L. (Ya Luo). All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The genome sequence data is available at GDR database (GDR, https://www.rosaceae.org (accessed on 1 July 2021)). The RNA-seq data were downloaded from SRA database of NCBI (Accession ID: PRJNA565646 and PRJNA552213; Link: https://www.ncbi.nlm.nih.gov/sra/PRJNA565646 (accessed on 1 July 2021) and https://www.ncbi.nlm.nih.gov/sra/PRJNA552213 (accessed on 1 July 2021)).

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

This work was supported by the National Natural Science Foundation of China (3180817), the Sweetpotato and Leguminosae Germplasm Innovation and Utilization Key Laboratory of Sichuan Province (2021CGIHL05), and the Specialty Construction Program of Sichuan Agricultural University. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Bohnert H.J., Nelson D.E., Jensen R.G. Adaptations to environmental stresses. Plant Cell. 1995;7:1099–1111. doi: 10.2307/3870060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kim K.N., Lee J.S., Han H., Choi S.A., Go S.J., Yoon I.S. Isolation and characterization of a novel rice Ca2+-regulated protein kinase gene involved in responses to diverse signals including cold, light, cytokinins, sugars and salts. Plant Mol. Biol. 2003;52:1191–1202. doi: 10.1023/B:PLAN.0000004330.62660.a2. [DOI] [PubMed] [Google Scholar]
  • 3.Umezawa T., Sugiyama N., Takahashi F., Anderson J.C., Ishihama Y., Peck S.C., Shinozaki K. Genetics and phosphoproteomics reveal a protein phosphorylation network in the abscisic acid signaling pathway in Arabidopsis thaliana. Sci. Signal. 2013;6:rs8. doi: 10.1126/scisignal.2003509. [DOI] [PubMed] [Google Scholar]
  • 4.Xiong L., Schumaker K.S., Zhu J.K. Cell signaling during cold, drought, and salt stress. Plant Cell. 2002;14:S165–S183. doi: 10.1105/tpc.000596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Koh S., Lee S.C., Kim M.K., Koh J.H., Lee S., An G., Choe S., Kim S.R. T-DNA tagged knockout mutation of rice OsGSK1, an orthologue of Arabidopsis BIN2, with enhanced tolerance to various abiotic stresses. Plant Mol. Biol. 2007;65:453–466. doi: 10.1007/s11103-007-9213-4. [DOI] [PubMed] [Google Scholar]
  • 6.Fu S.F., Chou W.C., Huang D.D., Huang H.J. Transcriptional regulation of a rice mitogen-activated protein kinase gene, OsMAPK4, in response to environmental stresses. Plant Cell Physiol. 2002;43:958–963. doi: 10.1093/pcp/pcf111. [DOI] [PubMed] [Google Scholar]
  • 7.Meng X., Zhang S. MAPK cascades in plant disease resistance signaling. Annu. Rev. Phytopathol. 2013;51:245–266. doi: 10.1146/annurev-phyto-082712-102314. [DOI] [PubMed] [Google Scholar]
  • 8.Andreasson E., Ellis B. Convergence and specificity in the Arabidopsis MAPK nexus. Trends Plant Sci. 2010;15:106–113. doi: 10.1016/j.tplants.2009.12.001. [DOI] [PubMed] [Google Scholar]
  • 9.Jonak C., Okrész L., Bögre L., Hirt H. Complexity, cross talk and integration of plant MAP kinase signalling. Curr. Opin. Plant Biol. 2002;5:415–424. doi: 10.1016/S1369-5266(02)00285-6. [DOI] [PubMed] [Google Scholar]
  • 10.Zhang M., Su J., Zhang Y., Xu J., Zhang S. Conveying endogenous and exogenous signals: MAPK cascades in plant growth and defense. Curr. Opin. Plant Biol. 2018;45:1–10. doi: 10.1016/j.pbi.2018.04.012. [DOI] [PubMed] [Google Scholar]
  • 11.Jiang Y., Li Z., Schwarz E.M., Lin A., Guan K., Ulevitch R.J., Han J. Structure-function studies of p38 mitogen-activated protein kinase. Loop 12 influences substrate specificity and autophosphorylation, but not upstream kinase selection. J. Biol. Chem. 1997;272:11096–11102. doi: 10.1074/jbc.272.17.11096. [DOI] [PubMed] [Google Scholar]
  • 12.Kong X., Pan J., Zhang D., Jiang S., Cai G., Wang L., Li D. Identification of mitogen-activated protein kinase kinase gene family and MKK-MAPK interaction network in maize. Biochem. Biophys. Res. Commun. 2013;441:964–969. doi: 10.1016/j.bbrc.2013.11.008. [DOI] [PubMed] [Google Scholar]
  • 13.Reyna N.S., Yang Y. Molecular analysis of the rice MAP kinase gene family in relation to Magnaporthe grisea infection. Mol. Plant-Microbe Interact. 2006;19:530–540. doi: 10.1094/MPMI-19-0530. [DOI] [PubMed] [Google Scholar]
  • 14.Zhang S., Xu R., Luo X., Jiang Z., Shu H. Genome-wide identification and expression analysis of MAPK and MAPKK gene family in Malus domestica. Gene. 2013;531:377–387. doi: 10.1016/j.gene.2013.07.107. [DOI] [PubMed] [Google Scholar]
  • 15.Ichimura K., Mizoguchi T., Yoshida R., Yuasa T., Shinozaki K. Various abiotic stresses rapidly activate Arabidopsis MAP kinases ATMPK4 and ATMPK6. Plant J. 2000;24:655–665. doi: 10.1046/j.1365-313x.2000.00913.x. [DOI] [PubMed] [Google Scholar]
  • 16.Jammes F., Yang X., Xiao S., Kwak J.M. Two Arabidopsis guard cell-preferential MAPK genes, MPK9 and MPK12, function in biotic stress response. Plant Signal. Behav. 2011;6:1875–1877. doi: 10.4161/psb.6.11.17933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Jia H., Wang Y., Sun M., Li B., Han Y., Zhao Y., Li X., Ding N., Li C., Ji W., et al. Sucrose functions as a signal involved in the regulation of strawberry fruit development and ripening. New Phytol. 2013;198:453–465. doi: 10.1111/nph.12176. [DOI] [PubMed] [Google Scholar]
  • 18.Hao L., Dai S.J., Ren J., Zhang C.X., Leng P. The role of ABA in the maturation and postharvest life of a nonclimacteric sweet cherry fruit. J. Plant Growth Regul. 2014;33:373–383. [Google Scholar]
  • 19.Wu J., Xu Z., Zhang Y., Chai L., Yi H., Deng X. An integrative analysis of the transcriptome and proteome of the pulp of a spontaneous late-ripening sweet orange mutant and its wild type improves our understanding of fruit ripening in citrus. J. Exp. Bot. 2014;65:1651–1671. doi: 10.1093/jxb/eru044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jia H., Li C., Chai Y., Xing Y., Shen Y. Sucrose promotes strawberry fruit ripening by stimulation of abscisic acid biosynthesis. Pak. J. Bot. 2013;45:169–176. [Google Scholar]
  • 21.Nakashima K., Fujita Y., Kanamori N., Katagiri T., Umezawa T., Kidokoro S., Maruyama K., Yoshida T., Ishiyama K., Kobayashi M., et al. Three Arabidopsis SnRK2 protein kinases, SRK2D/SnRK2.2, SRK2E/SnRK2.6/OST1 and SRK2I/SnRK2.3, involved in ABA signaling are essential for the control of seed development and dormancy. Plant Cell Physiol. 2009;50:1345–1363. doi: 10.1093/pcp/pcp083. [DOI] [PubMed] [Google Scholar]
  • 22.Matsuoka D., Soga K., Yasufuku T., Nanmori T. Control of plant growth and development by overexpressing MAP3K17, an ABA-inducible MAP3K, in Arabidopsis. Plant Biotechnol. 2018;35:171–176. doi: 10.5511/plantbiotechnology.18.0412a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Guruprasad K., Reddy B.V., Pandit M.W. Correlation between stability of a protein and its dipeptide composition: A novel approach for predicting in vivo stability of a protein from its primary sequence. Protein Eng. 1990;4:155–161. doi: 10.1093/protein/4.2.155. [DOI] [PubMed] [Google Scholar]
  • 24.Wei W., Chai Z., Xie Y., Gao K., Cui M., Jiang Y., Feng J. Bioinformatics identification and transcript profile analysis of the mitogen-activated protein kinase gene family in the diploid woodland strawberry Fragaria vesca. PLoS ONE. 2017;12:e0178596. doi: 10.1371/journal.pone.0178596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cui L., Yang G., Yan J., Pan Y., Nie X. Genome-wide identification, expression profiles and regulatory network of MAPK cascade gene family in barley. BMC Genom. 2019;20:750. doi: 10.1186/s12864-019-6144-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yao Y., Zhao H., Sun L., Wu W., Li C., Wu Q. Genome-wide identification of MAPK gene family members in Fagopyrum tataricum and their expression during development and stress responses. BMC Genom. 2022;23:96. doi: 10.1186/s12864-022-08293-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wu J., Xiao J., Wang L., Zhong J., Yin H., Wu S., Zhang Z., Yu J. Systematic analysis of intron size and abundance parameters in diverse lineages. Sci. China Life Sci. 2013;56:968–974. doi: 10.1007/s11427-013-4540-y. [DOI] [PubMed] [Google Scholar]
  • 28.Yamaguchi-Shinozaki K., Shinozaki K. Organization of cis-acting regulatory elements in osmotic- and cold-stress-responsive promoters. Trends Plant Sci. 2005;10:88–94. doi: 10.1016/j.tplants.2004.12.012. [DOI] [PubMed] [Google Scholar]
  • 29.Li M., Sun B., Xie F., Gong R., Luo Y., Zhang F., Yan Z., Tang H. Identification of the GRAS gene family in the Brassica juncea genome provides insight into its role in stem swelling in stem mustard. PeerJ. 2019;7:e6682. doi: 10.7717/peerj.6682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Zhang X., Wang L., Xu X., Cai C., Guo W. Genome-wide identification of mitogen-activated protein kinase gene family in Gossypium raimondii and the function of their corresponding orthologs in tetraploid cultivated cotton. BMC Plant Biol. 2014;14:345. doi: 10.1186/s12870-014-0345-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Wang G., Wang T., Jia Z.H., Xuan J.P., Pan D.L., Guo Z.R., Zhang J.Y. Genome-wide bioinformatics analysis of MAPK gene family in kiwifruit (Actinidia Chinensis) Int. J. Mol. Sci. 2018;19:2510. doi: 10.3390/ijms19092510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Droillard M., Boudsocq M., Barbier-Brygoo H., Laurière C. Different protein kinase families are activated by osmotic stresses in Arabidopsis thaliana cell suspensions. Involvement of the MAP kinases AtMPK3 and AtMPK6. FEBS Lett. 2002;527:43–50. doi: 10.1016/S0014-5793(02)03162-9. [DOI] [PubMed] [Google Scholar]
  • 33.Zeng Q., Chen J.G., Ellis B.E. AtMPK4 is required for male-specific meiotic cytokinesis in Arabidopsis. Plant J. 2011;67:895–906. doi: 10.1111/j.1365-313X.2011.04642.x. [DOI] [PubMed] [Google Scholar]
  • 34.Xu R., Duan P., Yu H., Zhou Z., Zhang B., Wang R., Li J., Zhang G., Zhuang S., Lyu J., et al. Control of grain size and weight by the OsMKKK10-OsMKK4-OsMAPK6 signaling pathway in rice. Mol. Plant. 2018;11:860–873. doi: 10.1016/j.molp.2018.04.004. [DOI] [PubMed] [Google Scholar]
  • 35.Jia H., Jiu S., Zhang C., Wang C., Tariq P., Liu Z., Wang B., Cui L., Fang J. Abscisic acid and sucrose regulate tomato and strawberry fruit ripening through the abscisic acid-stress-ripening transcription factor. Plant Biotechnol. J. 2016;14:2045–2065. doi: 10.1111/pbi.12563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Karppinen K., Tegelberg P., Häggman H., Jaakola L. Abscisic acid regulates anthocyanin biosynthesis and gene expression associated with cell wall modification in ripening bilberry (Vaccinium myrtillus L.) fruits. Front Plant Sci. 2018;9:1259. doi: 10.3389/fpls.2018.01259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Olivares D., Contreras C., Muñoz V., Rivera S., González-Agüero M., Retamales J., Defilippi B.G. Relationship among color development; anthocyanin and pigment-related gene expression in ‘Crimson Seedless’ grapes treated with abscisic acid and sucrose. Plant Physiol. Biochem. 2017;115:286–297. doi: 10.1016/j.plaphy.2017.04.007. [DOI] [PubMed] [Google Scholar]
  • 38.Luo Y., Ge C., Ling Y., Mo F., Yang M., Jiang L., Chen Q., Lin Y., Sun B., Zhang Y., et al. ABA and sucrose co-regulate strawberry fruit ripening and show inhibition of glycolysis. Mol. Genet. Genom. 2020;295:421–438. doi: 10.1007/s00438-019-01629-w. [DOI] [PubMed] [Google Scholar]
  • 39.Luo Y., Lin Y., Mo F., Ge C., Jiang L., Zhang Y., Chen Q., Sun B., Wang Y., Wang X., et al. Sucrose promotes strawberry fruit ripening and affects ripening-related processes. Int. J. Genom. 2019;2019:9203057. doi: 10.1155/2019/9203057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Xiong L., Yang Y. Disease resistance and abiotic stress tolerance in rice are inversely modulated by an abscisic acid-inducible mitogen-activated protein kinase. Plant Cell. 2003;15:745–759. doi: 10.1105/tpc.008714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Wang X.J., Zhu S.Y., Lu Y.F., Zhao R., Xin Q., Wang X.F., Zhang D.P. Two coupled components of the mitogen-activated protein kinase cascade MdMPK1 and MdMKK1 from apple function in ABA signal transduction. Plant Cell Physiol. 2010;51:754–766. doi: 10.1093/pcp/pcq037. [DOI] [PubMed] [Google Scholar]
  • 42.Chang S., Puryear J., Cairney J. A simple and efficient method for isolating RNA from pine trees. Plant Mol. Biol. Rep. 1993;11:113–116. doi: 10.1007/BF02670468. [DOI] [Google Scholar]
  • 43.Putri G.H., Anders S., Pyl P.T., Pimanda J.E., Zanini F. Analysing high-throughput sequencing data in Python with HTSeq 2.0. Bioinformatics. 2022;21:btac166. doi: 10.1093/bioinformatics/btac166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Mortazavi A., Williams B.A., McCue K., Schaeffer L., Wold B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods. 2008;5:621–628. doi: 10.1038/nmeth.1226. [DOI] [PubMed] [Google Scholar]
  • 45.Li M., Wang L., Liu Y., Lin Y., Zhang Y., Long Y., Luo C., Zhang Y., Chen Q., Chen P., et al. Characterization and regulation mechanism analysis of ubiquitin-conjugating family genes in strawberry reveals a potential role in fruit ripening. BMC Plant Biol. 2022;22:39. doi: 10.1186/s12870-021-03421-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The genome sequence data is available at GDR database (GDR, https://www.rosaceae.org (accessed on 1 July 2021)). The RNA-seq data were downloaded from SRA database of NCBI (Accession ID: PRJNA565646 and PRJNA552213; Link: https://www.ncbi.nlm.nih.gov/sra/PRJNA565646 (accessed on 1 July 2021) and https://www.ncbi.nlm.nih.gov/sra/PRJNA552213 (accessed on 1 July 2021)).


Articles from International Journal of Molecular Sciences are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES