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. 2022 Jul 14;13:892638. doi: 10.3389/fpls.2022.892638

Genome-Wide Analysis of Multidrug and Toxic Compound Extruction Transporters in Grape

Megumi Watanabe 1, Shungo Otagaki 1, Shogo Matsumoto 1, Katsuhiro Shiratake 1,*
PMCID: PMC9330396  PMID: 35909729

Abstract

Grape (Vitis vinifera L.) is an important fruit crop in the world. It is used as a table grape and is also used for raisin and wine production. Grape berries accumulate secondary metabolites, such as anthocyanins, tannins, and resveratrol, which are known as functional compounds for human health. Multidrug and toxic compound extrusion transporter (MATEs) transport secondary metabolites. MATEs also transport other solutes, including organic acids, and toxic xenobiotics, depending on cation gradient and play various roles in plants. MATE comprises 300–500 amino acid residues and possesses a MATE domain and 8–12 transmembrane domains. In the present study, 59 MATE genes were identified in the grape genome, and phylogenetic analysis revealed the presence of four groups of grape MATEs (Group 1–4). Their information, such as gene structures, protein motifs, predicted subcellular localizations, and gene IDs of four genome annotations, that is, CRIBI v1, CRIBI v2, Genoscope, and Vcost v3, were annotated. The transport substrates and physiological functions of grape MATEs were estimated based on their homology with the analyzed MATEs in other plant species. Group 1 may transport toxic compounds and alkaloids, Group 2 may transport polyphenolic compounds, Group 3 may transport organic acids, and Group 4 may transport plant hormones related to signal transduction. In addition to the known anthocyanin transporters, VvMATE37 and VvMATE39, a novel anthocyanin transporter, VvMATE38 in Group 2, was suggested as a key transporter for anthocyanin accumulation in grape berry skin. VvMATE46, VvMATE47, and VvMATE49 in Group 3 may contribute to Al3+ detoxification and Fe2+/Fe3+ translocation via organic acid transport. This study provides helpful and fundamental information for grape MATE studies and resolves the confusion of gene IDs in different genome annotations.

Keywords: genome-wide analysis, grape, multidrug and toxic compound extraction transporter, MATE, secondary metabolite transporter, Vitis vinifera

Introduction

Grape (Vitis vinifera L.) is an important crop grown worldwide for table grape use and wine production. Grapes contain various secondary metabolites. For example, anthocyanins are responsible for the color of berries, catechins are responsible for the astringency of fruit taste, and resveratrol is responsible for disease resistance. These secondary metabolites also function as antioxidants and health-promoting compounds in humans. Plants produce these secondary metabolites and accumulate them strategically, defending against environmental stresses and pathogens.

The accumulation of secondary metabolites occurs via a series of synthetic enzymes and transport from the synthesis site to the accumulation site by the responsible transporters. Secondary metabolite transporters have been reported to belong to the following families (Nogia and Pati, 2021): ATP-binding cassette (ABC) transporter family (Rea, 2007), multidrug and toxic compound extrusion (MATE) transporter family (Omote et al., 2006), major facilitator superfamily (MFS; Nino-Gonzalez et al., 2019), NPF transporter family (Wen et al., 2020) and purine uptake permeases (PUPs; Dastmalchi et al., 2019). Some MATEs had been reported as antiporters using cation (H+/Na+) gradient and transport substrates from cytosol to apoplast or vacuole (Nogia and Pati, 2021). MATE comprises 300–500 amino acid residues and possesses a MATE domain and 8–12 transmembrane domains (Shoji, 2014). MATE is also called detoxification protein (DTX) in Arabidopsis (Li et al., 2002) and is involved in the detoxification mechanisms of toxic compounds and heavy metals (Diener et al., 2001; Li et al., 2002), tolerance to aluminum toxicity (Liu et al., 2009), iron homeostasis (Wang et al., 2017), and disease resistance (Ishihara et al., 2008).

MATEs are conserved in bacteria, fungi, animals, and plants (Hvorup et al., 2003). Genome-wide analyses, that is, identification and characterization of gene families using genome data, provide helpful and fundamental information on gene families, including evolutionary history and diversity of gene families and their members, characteristics of encoded proteins, and their physiological functions. Genome-wide analysis of MATEs and gene numbers in plants had been reported, including 56 in Arabidopsis thaliana (Li et al., 2002), 53 in Oryza sativa (Tiwari et al., 2014), 71 in Populus trichocarpa (Li et al., 2017), 117 in soybean (Liu et al., 2016), 48 in potato (Li et al., 2019), 67 in tomato (Dos Santos et al., 2017), and 73 in Linum usitassimum (Ali et al., 2021).

In grapes, only VvMATE1 and VvMATE2, which transport proanthocyanidins (Perez-Diaz et al., 2014), and VvAM1 and VvAM3, which transport cyanidin 3-glycosides (Gomez et al., 2009), have been reported. The numbers and functions of other grape MATEs are still unclear. Therefore, this study performed a genome-wide analysis of grape MATEs. As a result, 59 genes encoding MATEs were identified in the grape genome, obtaining useful information, including the gene IDs of different genome annotations, gene and protein structures, protein motifs, and gene expression profiles. In addition, the physiological functions of some MATEs in grapes were discussed with their gene expressions and transport substrates were estimated based on the homology with the analyzed MATEs in other plant species.

Materials and Methods

Identification of MATEs in Grape Genome

To obtain candidates of grape MATEs, BLASTP search (e ≤ 0.1) was performed against the CRIBI v2.1 genome annotation based on the V. vinifera 12X.0 genome assembly (Adam-Blondon, 2014) in Phytozome v131 (Goodstein et al., 2012) using the amino acid sequences of Arabidopsis MATEs (Li et al., 2002) as queries. Against obtained non-redundant candidates of grape MATEs, the presence of conserved MATE domain was confirmed by Pfam2 (El-Gebali et al., 2019) and by the Conserved Domain Database of NCBI (CDD,3 Shennan Lu et al., 2020). Among the candidates, the proteins with predicted MATE domain by both Pfam and CDD were identified as grape MATEs. Molecular weight and isoelectric point were estimated by ProtParam4 (Gasteiger et al., 2005). The number of transmembrane domains was predicted by the Simple Modular Architecture Research Tool (SMART,5 Letunic et al., 2021).

MATEs in other grape genome annotations, that is, the CRIBI v1, the Genoscope, and the Vcost.v3 were identified as follows. BLASTP was performed against the CRIBI v1 genome annotation based on the V. vinifera 12X.0 genome assembly in EnsemblPlants.6 Whole protein sequences of the Genoscope genome annotation based on the V. vinifera 12X.0 genome assembly were downloaded from URGI7 or those of the Vcost.v3 genome annotation based on the V. vinifera 12X.2 genome assembly (Canaguier et al., 2017) were downloaded from URGI8 and in house BLASTP was performed.

Multiple Sequence Alignment and Phylogenetic Analysis

Amino acid sequences of MATEs of grape and other plant species (Li et al., 2002; Takanashi et al., 2014; Biala-Leonhard et al., 2021) were aligned using the ClustalW program.9 The phylogenetic tree was created by MEGA X (Kumar et al., 2018) using the neighbor-joining model.

Gene Structure and Motif Analyses

Gene structure (exon–intron structure) was schematized using coding sequences (CDS) and genomic sequence of the grape MATEs by the Gene Structure Display Server (GSDS,10 Hu et al., 2015). The Multiple Expectation Maximization for Motif Elicitation (MEME,11 Bailey et al., 2009) was used to identify the conserved motifs in the amino acid sequences of grape MATEs. The parameters were set as follows: site distribution on zero or one occurrence per sequences, the maximum number of motifs was 12, and motif width is between 6 and 50.

In silico Gene Expression Analysis

The gene expression data in various organs, tissues, and developmental stages of grape by microarray analysis were downloaded from Grape eFP Browser (Fasoli et al., 2012).12 The gene expression data were converted to base 10 logarithm and then heatmap was created by using HemI 1.0 (Deng et al., 2014).13

Results

Identification of MATEs in the Grape Genome

To identify MATEs in the grape genome, BLAST searches were performed against the grape genome assembly 12X.0 (Adam-Blondon, 2014) and genome annotation CRIBI v2.1 (Vitulo et al., 2014) using Arabidopsis MATEs as queries. Consequently, 78 genes were hit in the grape genome. The presence of MATE domains in the candidates was confirmed using domain search tools Pfam and CDD. As a result, two of the 78 hits did not have a motif predicted by both Pfam and CDD and were therefore excluded from further analyses. Fifty-eight candidates predicted to possess the MATE domain by both Pfam and CDD were identified as grape MATEs and analyzed in further study. The 18 candidates predicted by either Pfam or CDD to possess the MATE domain are listed in Supplementary Table S2.

The whole grape genome was sequenced and annotated in 2007 (Jaillon et al., 2007; Velasco et al., 2007). Since then, the sequence information was improved from 8X to 12X in 2009 (Adam-Blondon, 2014), and annotation was revised to CRIBI v1 (Jérôme et al., 2012), Genoscope, CRIBI v2 (Vitulo et al., 2014) and Vcost v3 (Canaguier et al., 2017). Different annotations were assigned different gene IDs, and they were not unified. This has led to confusion in grape research. Therefore, the corresponding gene IDs in the different annotations were linked in this study.

A BLAST search of the 58 MATE genes identified in CRIBI v2 to the genes in the three annotations (CRIBI v1, Genoscope, and Vcost v3) was performed. Most genes showed 1:1 correspondence; however, some genes corresponded to 2. These genes are discussed below.

Two genes (VIT_217s0000g02990 and VIT_217s0000g03000) in CRIBI v2 corresponded to one gene (GSVIVT01008369001) in Genoscope (Table 1), although these genes had a 1:1 correspondence in CRIBI v1 and Vcost v3. These suggest that the annotation of Genoscope may be miss annotation.

Table 1.

List of the identified MATEs in grape genome.

CRIBI v2 CRIBI v1 Genoscope VCost.v3 Protein
Name Gene ID Chromosome location Transcripts Gene ID Gene ID Gene ID Size (AAs) MW (D) Pi TMDs
VvMATE1 VIT_201s0011g04430 chr1:4021807..4024501 reverse VIT_201s0011g04430.1 VIT_01s0011g04430 GSVIVT01011803001 Vitvi01g00370 482 51,649 6.4 10
VvMATE2 VIT_201s0011g04450 chr1:4032047..4035573 reverse VIT_201s0011g04450.1 VIT_01s0011g04450 GSVIVT01011801001 Vitvi01g01962 482 52,662 7.9 12
VIT_201s0011g04450.2 VIT_01s0011g04450 GSVIVT01011801001 Vitvi01g01962 486 52,874 7.4 11
VIT_201s0011g04450.3 VIT_01s0011g04450 GSVIVT01011801001 Vitvi01g01962 397 43,694 8.5 10
VIT_201s0011g04450.4 VIT_01s0011g04450 GSVIVT01011801001 Vitvi01g01962 415 45,262 6.9 9
VIT_201s0011g04450.5
VIT_201s0011g04450.6 VIT_01s0011g04450 GSVIVT01011801001 Vitvi01g01962 316 34,476 5.8 8
VvMATE3 VIT_201s0011g04460 chr1:4036752..4039385 forward VIT_201s0011g04460.1 VIT_01s0011g04460 GSVIVT01011800001 Vitvi01g00371 540 59,659 8.7 9
VIT_201s0011g04460.2 VIT_01s0011g04460 GSVIVT01011800001 Vitvi01g00371 471 51,907 8.2 9
VIT_201s0011g04460.3 VIT_01s0011g04460 GSVIVT01011800001 Vitvi01g00371 337 37,035 8.4 6
VIT_201s0011g04460.4
VIT_201s0011g04460.5 VIT_01s0011g04460 GSVIVT01011800001 Vitvi01g00371 280 30,310 8.1 6
VvMATE4 VIT_211s0052g01510 chr11:19255115..19265006 forward VIT_211s0052g01510.1 VIT_11s0052g01510 GSVIVT01029142001 Vitvi11g01285 497 53,985 8.3 12
VIT_211s0052g01510.2 VIT_11s0052g01510 GSVIVT01029142001 Vitvi11g01285 490 52,670 8.7 12
VvMATE5 VIT_211s0052g01540 chr11:19281101..19288934 forward VIT_211s0052g01540.1 VIT_11s0052g01540 GSVIVT01029136001 Vitvi11g01286 457 49,183 8.7 11
VIT_211s0052g01540.2
VIT_211s0052g01540.3 VIT_11s0052g01540 GSVIVT01029136001 Vitvi11g01286 412 44,652 7.7 9
VIT_211s0052g01540.4 VIT_11s0052g01540 GSVIVT01029136001 Vitvi11g01286 339 36,786 8.2 8
VIT_211s0052g01540.5 VIT_11s0052g01540 GSVIVT01029136001 Vitvi11g01286 273 29,571 8.9 6
VIT_211s0052g01540.7
VIT_211s0052g01540.6 VIT_11s0052g01540 GSVIVT01029136001 Vitvi11g01286 310 33,718 8.4 7
VvMATE6 VIT_211s0052g01560 chr11:19292964..19306510reverse VIT_211s0052g01560.1 VIT_11s0052g01570 GSVIVT01029131001 Vitvi11g01693 492 53,534 9.1 12
VIT_211s0052g01560.3 VIT_11s0052g01570 GSVIVT01029131001 Vitvi11g01693 490 53,351 9.1 12
VIT_211s0052g01560.4 VIT_11s0052g01570 GSVIVT01029131001 Vitvi11g01693 472 51,411 9.1 12
VvMATE7 VIT_211s0052g01560 chr11:19292964..19306510reverse VIT_211s0052g01560.2 VIT_11s0052g01560 GSVIVT01029132001 Vitvi11g01692 490 52,734 8.6 12
VIT_211s0052g01560.5 VIT_11s0052g01560 GSVIVT01029132001 Vitvi11g01692 471 50,692 8.6 10
VIT_211s0052g01560.6 VIT_11s0052g01560 GSVIVT01029132001 Vitvi11g01692 497 54,015 8.1 12
VIT_211s0052g01560.7 VIT_11s0052g01560 GSVIVT01029132001 Vitvi11g01692 438 47,079 8.8 9
VIT_211s0052g01560.8 VIT_11s0052g01560 GSVIVT01029132001 Vitvi11g01692 478 51,972 8.1 10
VvMATE8 VIT_214s0006g02260 chr14:19602250..19605203 forward VIT_214s0006g02260.1 VIT_14s0006g02260 GSVIVT01030951001 Vitvi14g01062 495 53,316 8.5 11
VvMATE9 VIT_217s0000g02970 chr17:2744209..2747536 reverse VIT_217s0000g02970.1 VIT_17s0000g02970 GSVIVT01008370001 Vitvi17g00256 494 53,411 8.4 12
VvMATE10 VIT_217s0000g02990 chr17:2768313..2770594 reverse VIT_217s0000g02990.1 VIT_17s0000g02990 GSVIVT01008369001 Vitvi17g00258 453 49,198 8.4 11
VIT_217s0000g02990.2 VIT_17s0000g02990 GSVIVT01008369001 Vitvi17g00258 306 33,421 8.4 7
VIT_217s0000g02990.3 VIT_17s0000g02990 GSVIVT01008369001 Vitvi17g00258 414 44,963 7.0 10
VvMATE11 VIT_217s0000g03000 chr17:2780295..2782669 reverse VIT_217s0000g03000.1 VIT_17s0000g03000 GSVIVT01008369001 Vitvi17g00259 475 51,780 6.7 11
VvMATE12 VIT_217s0000g09270 chr17:10859683..10862639 forward VIT_217s0000g09270.1 VIT_17s0000g09270 GSVIVT01007649001 Vitvi17g00915 449 48,804 8.6 10
VvMATE13 VIT_219s0014g02440 chr19:2532311..2534460 forward VIT_219s0014g02440.1 VIT_19s0014g02440 GSVIVT01014308001 Vitvi19g00205 494 53,687 8.2 12
VvMATE14 VIT_219s0014g02450 chr19:2535101..2537063 forward VIT_219s0014g02450.1 VIT_19s0014g02450 GSVIVT01014309001 Vitvi19g01864 488 53,438 7.1 10
VvMATE15 VIT_200s0225g00050 chrUn:14575577..14579088 reverse VIT_200s0225g00050.1 VIT_00s0225g00050 GSVIVT01004076001 Vitvi01g00653 510 55,254 5.8 11
VIT_200s0225g00050.2 VIT_00s0225g00050 GSVIVT01004076001 Vitvi01g00653 438 47,513 5.5 9
VIT_200s0225g00050.3 VIT_00s0225g00050 GSVIVT01004076001 Vitvi01g00653 477 51,616 5.7 10
VIT_200s0225g00050.4 VIT_00s0225g00050 GSVIVT01004076001 Vitvi01g00653 367 39,831 8.1 8
VIT_200s0225g00050.5 VIT_00s0225g00050 GSVIVT01004076001 Vitvi01g00653 328 35,728 7.5 7
VvMATE16 VIT_200s0225g00060 chrUn:14591567..14594247 reverse VIT_200s0225g00060.1 VIT_00s0225g00060 GSVIVT01004076001 Vitvi01g00655 513 55,893 6.6 9
VIT_200s0225g00060.2
VIT_200s0225g00060.3 VIT_00s0225g00060 GSVIVT01004076001 Vitvi01g00655 472 51,231 6.3 8
VIT_200s0225g00060.4 VIT_00s0225g00060 GSVIVT01004076001 Vitvi01g00655 455 49,811 7.6 8
VvMATE17 VIT_200s0225g00070 chrUn:14600470..14603490 reverse VIT_200s0225g00070.1 VIT_00s0225g00070 GSVIVT01004077001 Vitvi01g00656 502 54,813 5.2 12
VIT_200s0225g00070.2 VIT_00s0225g00070 GSVIVT01004077001 Vitvi01g00656 451 49,098 5.2 10
VIT_200s0225g00070.3
VvMATE18 VIT_200s0225g00080 chrUn:14613309..14616942 reverse VIT_200s0225g00080.1 VIT_00s0225g00080 GSVIVT01004078001 Vitvi01g00657 517 56,521 8.8 10
VvMATE19 VIT_208s0056g00780 chr8:1221330..1226145 forward VIT_208s0056g00780.1 VIT_08s0056g00780 GSVIVT01029901001 Vitvi08g00067 496 54,252 8.5 10
VIT_208s0056g00780.2
VIT_208s0056g00780.3
VIT_208s0056g00780.4
VIT_208s0056g00780.5 VIT_08s0056g00780 GSVIVT01029901001 Vitvi08g00067 402 43,856 8.7 8
VIT_208s0056g00780.6 VIT_08s0056g00780 GSVIVT01029901001 Vitvi08g00067 410 44,972 8.3 8
VIT_208s0056g00780.7 VIT_08s0056g00780 GSVIVT01029901001 Vitvi08g00067 326 36,035 6.7 8
VvMATE20 VIT_208s0056g00870 chr8:1350357..1364245 reverse VIT_208s0056g00870.1 VIT_08s0056g00870 GSVIVT01029912001 Vitvi08g00076 498 54,731 6.5 10
VIT_208s0056g00870.2 VIT_08s0056g00870 GSVIVT01029912001 Vitvi08g00076 402 44,230 6.9 8
VIT_208s0056g00870.3 VIT_08s0056g00870 GSVIVT01029912001 Vitvi08g00076 532 58,967 8.5 10
VvMATE21 VIT_208s0056g00890 chr8:1389528..1393841 reverse VIT_208s0056g00890.1 VIT_08s0056g00890 GSVIVT01029913001 Vitvi08g00078 433 47,541 8.8 9
VvMATE22 VIT_208s0056g01000 chr8:1489979..1498340 forward VIT_208s0056g01000.1 VIT_08s0056g01000 GSVIVT01029920001 Vitvi08g00085 485 53,483 7.5 10
VvMATE23 VIT_208s0056g01040 chr8:1508050..1531663 reverse VIT_208s0056g01040.1 VIT_08s0056g01040 GSVIVT01029922001 Vitvi08g00086 486 53,540 9.3 12
VIT_208s0056g01040.2 VIT_08s0056g01040 GSVIVT01029922001 Vitvi08g00086 409 45,181 9.2 10
VIT_208s0056g01040.3 VIT_08s0056g01040 GSVIVT01029922001 Vitvi08g00086 455 50,007 9.3 11
VvMATE24 VIT_208s0056g01070 chr8:1548460..1560413 forward VIT_208s0056g01070.1 VIT_08s0056g01070 GSVIVT01029926001 Vitvi08g00091 486 53,395 6.4 12
VIT_208s0056g01070.2 VIT_08s0056g01070 GSVIVT01029926001 Vitvi08g00091 402 43,963 6.3 10
VvMATE25 VIT_208s0056g01080 chr8:1571971..1580783 forward VIT_208s0056g01080.1 VIT_08s0056g01080 GSVIVT01029927001 Vitvi08g00092 514 56,571 8.2 12
VvMATE26 VIT_208s0056g01120 chr8:1700737..1717715 forward VIT_208s0056g01120.1 VIT_08s0056g01120 GSVIVT01029934001 Vitvi08g00099 486 54,043 8.0 12
VIT_208s0056g01120.2
VIT_208s0056g01120.3
VIT_208s0056g01120.4
VIT_208s0056g01120.5
VIT_208s0056g01120.6 VIT_08s0056g01120 GSVIVT01029934001 Vitvi08g00099 402 44,533 8.3 10
VIT_208s0056g01120.7
VIT_208s0056g01120.8 VIT_08s0056g01120 GSVIVT01029934001 Vitvi08g00099 388 43,058 6.4 10
VvMATE27 VIT_210s0116g01860 chr10:1119912..1125200 forward VIT_210s0116g01860.1 VIT_10s0116g01860 GSVIVT01012737001 Vitvi10g00107 505 54,449 5.1 10
VIT_210s0116g01860.2 VIT_10s0116g01860 GSVIVT01012737001 Vitvi10g00107 493 53,154 5.4 10
VvMATE28 VIT_210s0116g01870 chr10:1127233..1137841 forward VIT_210s0116g01870.1 VIT_10s0116g01870 GSVIVT01012739001 Vitvi10g00109 511 55,202 8.9 11
VvMATE29 VIT_210s0116g01880 chr10:1146808..1151516 forward VIT_210s0116g01880.1 VIT_10s0116g01880 GSVIVT01012741001 Vitvi10g01644 510 54,854 6.9 12
VIT_210s0116g01880.2 VIT_10s0116g01880 GSVIVT01012741001 Vitvi10g01644 399 42,734 7.5 10
VIT_210s0116g01880.3 VIT_10s0116g01880 GSVIVT01012741001 Vitvi10g01644 373 40,489 7.6 8
VIT_210s0116g01880.4 VIT_10s0116g01880 GSVIVT01012741001 Vitvi10g01644 425 45,331 7.6 9
VIT_210s0116g01880.5 VIT_10s0116g01880 GSVIVT01012741001 Vitvi10g01644 321 34,764 6.8 6
VvMATE30 VIT_212s0028g01150 chr12:1714190..1716866 reverse VIT_212s0028g01150.1 VIT_12s0028g01150 GSVIVT01020808001 Vitvi12g00099 505 54,898 8.4 11
VIT_212s0028g01150.2 VIT_12s0028g01150 GSVIVT01020808001 Vitvi12g00099 486 52,782 8.6 11
VIT_212s0028g01150.3 VIT_12s0028g01150 GSVIVT01020808001 Vitvi12g00099 378 41,544 8.9 8
VvMATE31 VIT_212s0028g01160 chr12:1739731..1742612 forward VIT_212s0028g01160.1 VIT_12s0028g01160 GSVIVT01020806001 Vitvi12g00101 507 54,416 7.0 11
VvMATE32 VIT_212s0059g02160 chr12:6947541..6952813 forward VIT_212s0059g02160.1 VIT_12s0059g02160 GSVIVT01030589001 Vitvi12g00506 553 59,506 8.0 12
VIT_212s0059g02160.2 VIT_12s0059g02160 GSVIVT01030589001 Vitvi12g00506 517 55,496 8.3 11
VIT_212s0059g02160.3 VIT_12s0059g02160 GSVIVT01030589001 Vitvi12g00506 470 50,236 8.6 10
VvMATE33 VIT_212s0059g02180 chr12:6968887..6971785 forward VIT_212s0059g02180.1 VIT_12s0059g02180 GSVIVT01030590001 Vitvi12g02409 508 54,795 8.2 12
VvMATE34 VIT_212s0059g02220 chr12:7024881..7027760 forward VIT_212s0059g02220.1 VIT_12s0059g02220 GSVIVT01030594001 Vitvi12g02411 508 54,630 8.0 12
VvMATE35 VIT_212s0059g02230 chr12:7030290..7041662 forward VIT_212s0059g02230.1 VIT_12s0059g02230 GSVIVT01030595001 Vitvi12g00514 689 75,281 8.8 11
VvMATE36 VIT_215s0046g01800 chr15:18639468..18642895 reverse VIT_215s0046g01800.1 VIT_15s0046g01800 GSVIVT01027003001 Vitvi15g01057 484 52,799 5.7 11
VvMATE37 VIT_216s0050g00900 chr16:17819177..17822079 reverse VIT_216s0050g00900.1 VIT_16s0050g00900 GSVIVT01028885001 Vitvi16g01911 490 53,488 5.9 11
VvMATE38 VIT_216s0050g00910 chr16:17827694..17830625 reverse VIT_216s0050g00910.1 VIT_16s0050g00910 GSVIVT01028882001 Vitvi16g01913 490 53,458 5.9 11
VvMATE39 VIT_216s0050g00930 chr16:17837264..17840061 reverse VIT_216s0050g00930.1 VIT_16s0050g00930 GSVIVT01028879001 Vitvi16g01915 494 53,726 6.0 12
VvMATE40 VIT_218s0001g06790 chr18:5062242..5066242 reverse VIT_218s0001g06790.1 VIT_18s0001g06790 GSVIVT01009104001 Vitvi18g00470 491 53,580 6.3 9
VvMATE41 VIT_218s0001g06820 chr18:5078186..5081480 reverse VIT_218s0001g06820.1 VIT_18s0001g06820 GSVIVT01009105001 Vitvi18g00472 337 37,276 6.4 8
VIT_218s0001g06820.2
VIT_218s0001g06820.3
VIT_218s0001g06820.4 VIT_18s0001g06820 GSVIVT01009105001 Vitvi18g00472 415 45,369 6.3 9
VIT_218s0001g06820.5 VIT_18s0001g06820 GSVIVT01009105001 Vitvi18g00472 447 48,779 6.6 12
VvMATE42 VIT_218s0001g11760 chr18:10039981..10043834 reverse VIT_218s0001g11760.1 VIT_18s0001g11760 GSVIVT01009629001 Vitvi18g00899 480 51,489 6.0 12
VvMATE43 VIT_203s0038g00410 chr3:388733..396945 reverse VIT_203s0038g00410.1 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 469 50,398 6.0 7
VIT_203s0038g00410.2 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 305 32,723 8.4 6
VIT_203s0038g00410.3 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 432 46,222 6.0 7
VIT_203s0038g00410.4 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 387 41,498 6.0 6
VIT_203s0038g00410.5 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 372 39,774 6.2 6
VIT_203s0038g00410.6
VIT_203s0038g00410.7
VIT_203s0038g00410.8 VIT_03s0038g00410 GSVIVT01024199001 Vitvi03g00032 264 28,600 6.2 4
VvMATE44 VIT_203s0038g00430 chr3:398947..406451 reverse VIT_203s0038g00430.1 VIT_03s0038g00430 GSVIVT01024198001 Vitvi03g00033 568 61,094 8.7 9
VIT_203s0038g00430.2 VIT_03s0038g00430 GSVIVT01024198001 Vitvi03g00033 517 55,389 8.3 9
VIT_203s0038g00430.3 VIT_03s0038g00430 GSVIVT01024198001 Vitvi03g00033 395 42,682 9.4 8
VvMATE45 VIT_203s0038g03200 chr3:2314225..2331028 reverse VIT_203s0038g03200.1 VIT_03s0038g03200 GSVIVT01023938001 Vitvi03g00199 605 64,523 8.9 8
VIT_203s0038g03200.2
VIT_203s0038g03200.3
VvMATE46 VIT_206s0004g02140 chr6:2592369..2595923 forward VIT_206s0004g02140.1 VIT_06s0004g02140 GSVIVT01025266001 Vitvi06g00216 514 54,418 6.7 8
VvMATE47 VIT_208s0007g08200 chr8:21562632..21567871 forward VIT_208s0007g08200.1 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 508 54,828 9.1 9
VIT_208s0007g08200.3
VIT_208s0007g08200.2 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 495 53,368 9.0 9
VIT_208s0007g08200.5
VIT_208s0007g08200.4 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 457 49,079 8.7 8
VIT_208s0007g08200.6
VIT_208s0007g08200.7 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 423 46,270 9.1 7
VIT_208s0007g08200.8 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 368 39,694 9.2 6
VIT_208s0007g08200.9 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 300 32,162 9.8 8
VIT_208s0007g08200.10 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 336 36,597 6.4 4
VIT_208s0007g08200.11 VIT_08s0007g08200 GSVIVT01033317001 Vitvi08g01879 262 28,382 6.6 3
VvMATE48 VIT_208s0058g00510 chr8:9585099..9604413forward VIT_208s0058g00510.1 VIT_08s0058g00510 GSVIVT01030279001 Vitvi08g00777 559 58,972 6.7 9
VIT_208s0058g00510.2 VIT_08s0058g00510 GSVIVT01030279001 Vitvi08g00777 537 56,405 7.1 9
VIT_208s0058g00510.3 VIT_08s0058g00510 GSVIVT01030279001 Vitvi08g00777 514 54,232 6.5 7
VIT_208s0058g00510.4
VIT_208s0058g00510.5 VIT_08s0058g00510 GSVIVT01030279001 Vitvi08g00777 437 45,952 8.7 5
VIT_208s0058g00510.6
VIT_208s0058g00510.7
VIT_208s0058g00510.8 VIT_08s0058g00510 GSVIVT01030279001 Vitvi08g00777 356 37,529 8.9 3
VvMATE49 VIT_213s0064g00930 chr13:22791692..22797039 forward VIT_213s0064g00930.1 VIT_13s0064g00930 GSVIVT01032092001 Vitvi13g01734 543 58,180 9.0 10
VIT_213s0064g00930.2 VIT_13s0064g00930 GSVIVT01032092001 Vitvi13g01734 513 54,633 8.9 11
VIT_213s0064g00930.3 VIT_13s0064g00930 GSVIVT01032092001 Vitvi13g01734 389 41,572 10.2 9
VvMATE50 VIT_202s0025g04420 chr2:3894150..3895743 reverse VIT_202s0025g04420.1 VIT_02s0025g04420 GSVIVT01019858001 Vitvi02g00403 531 57,765 6.1 11
VvMATE51 VIT_202s0025g05110 chr2:4578076..4579483 forward VIT_202s0025g05110.1 VIT_02s0025g05110 - Vitvi02g00466 469 51,169 8.7 10
VvMATE52 VIT_205s0077g02090 chr5:1620999..1622613 forward VIT_205s0077g02090.1 VIT_05s0077g02090 GSVIVT01035122001 Vitvi05g00031 501 54,607 8.4 11
VvMATE53 VIT_207s0031g00750 chr7:16911063..16912725 forward VIT_207s0031g00750.1 VIT_07s0031g00750 GSVIVT01022141001 Vitvi07g01759 554 60,180 8.3 12
VvMATE54 VIT_208s0058g01170 chr8:10606149..10609176 forward VIT_208s0058g01170.1 VIT_08s0058g01170 GSVIVT01030196001 Vitvi08g00847 430 46,313 8.9 9
VIT_208s0058g01170.2 VIT_08s0058g01170 GSVIVT01030196001 Vitvi08g00847 511 55,455 7.5 10
VvMATE55 VIT_211s0016g03050 chr11:2454949..2456542 reverse VIT_211s0016g03050.1 VIT_11s0016g03050 GSVIVT01015294001 Vitvi11g00259 531 57,181 8.4 10
VvMATE56 VIT_213s0067g02980 chr13:1598628..1602479 reverse VIT_213s0067g02980.1 VIT_13s0067g02980 GSVIVT01032676001 Vitvi13g00176 492 53,381 8.4 8
VvMATE57 VIT_216s0100g00460 chr16:15919961..15921566 forward VIT_216s0100g00460.1 VIT_16s0100g00460 GSVIVT01010621001 Vitvi16g00951 535 57,895 8.1 11
VvMATE58 VIT_218s0001g08200 chr18:6688710..6690565 reverse VIT_218s0001g08200.1 VIT_18s0001g08200 GSVIVT01009253001 Vitvi18g00583 554 60,232 7.1 12
VvMATE59 VIT_218s0086g00180 chr18:17293925..17296105 forward VIT_218s0086g00180.1 VIT_18s0086g00180 GSVIVT01036812001 Vitvi18g01376 473 50,513 8.1 9
VIT_218s0086g00180.3
VIT_218s0086g00180.2 VIT_18s0086g00180 GSVIVT01036812001 Vitvi18g01376 501 53,721 6.1 9
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Gene ID, chromosome location, transcripts, protein size, MW, Molecular Weight; Pi, Isoelectric point and TMDs, Number of Transmembrane Domains are listed. Gene IDs was collected from the four different gene annotations, i.e. CRIBI v1, CRIBI v2, Genoscope and VCost.v3. Information about protein and domains were based on the CRIBI v2 annotation.

VIT_211s0052g01560 in CRIBI v2 corresponded to two genes (VIT_11s0052g01570 and VIT_11s0052g01560) in CRIBI v1, two genes (GSVIVT01029131001 and GSVIVT01029132001) in Genoscope, and two genes (Vitvi11g01693 and Vitvi11g01692) in Vcost v3. In the CRIBI v2 annotation, for VIT_211s0052g01560, eight splicing variants (VIT_211s0052g01560.1–8) were suggested, and VIT_211s0052g01560.1, 3, 4, and VIT_211s0052g01560.2, 5, 6, 7, and 8 were derived from different genome positions (Supplementary Figure S1). VIT_211s0052g01560.1, 3, and 4 correspond to VIT_11s0052g0157 in CRIBI v1, GSVIVT01029131001 in Genoscope, and Vitvi11g01693 in Vcost v3. In contrast, VIT_211s0052g01560.2, 5, 6, 7, and 8 corresponded to VIT_11s0052g0156 in CRIBI v1, GSVIVT01029132001 in Genoscope, and Vitvi11g01692 in Vcost v3, respectively (Supplementary Table S1). From these results, we concluded that the CRIBI v2 annotation VIT_211s0052g01560 contains two MATE genes, and 59 genes encoding MATEs are present in the grape genome.

For the 59 identified grape MATEs, information was collected based on the 12X.0 genome assembly and CRIBI v2.1 annotation. The number of amino acid residues, molecular weight, isoelectric point, and the number of transmembrane domains of MATE proteins and splicing variants are summarized in Table 1. The predicted subcellular localizations are listed in Supplementary Table S1. The number of amino acids was 262–689, molecular weights were 28,382–75,281, isoelectric points were 5–10, and the number of transmembrane domains was 3–12.

Phylogenetic Analysis and Nomenclature

A phylogenetic tree of the amino acid sequences of 59 grape MATEs, 56 Arabidopsis MATEs, and the analyzed MATEs of various plants was generated (Figure 1). The tree revealed four groups of grape MATEs: 14 grape MATEs in Group 1, 28 in Group 2, 7 in Group 3, and 10 in Group 4. The 59 grape MATEs were named according to the gene ID in each group: VvMATE1-14 in Group 1, VvMATE15-42 in Group 2, VvMATE43-49 in Group 3, and VvMATE50-59 in Group 4 (Supplementary Table S1).

Figure 1.

Figure 1

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Phylogenetic tree of the MATEs of grape and those of other plant species reported previously. Amino acid sequences of the MATEs of grape and those of other plant species (Li et al., 2002; Takanashi et al., 2014; Biala-Leonhard et al., 2021) were aligned using the ClustalW program. The phylogenetic tree was created by MEGAX using the neighbor-joining model. The grape MATEs are indicated with purple and the MATEs of other plant species are indicated with circle (different colors show different physiological functions, Takanashi et al., 2014).

Gene Structure and Protein Motif

Exon-intron structures and protein motifs were shown with the phylogenetic tree generated by amino acid sequence homology (Figure 2A). The gene structures of grape MATEs were schematized in Figure 2C. The exon–intron structures were conserved in each group. The MATEs in group 1 had 5–8 exons and tended to have a long intron between the first and second exons. The MATEs in Group 2 have 7–9 exons, with long introns between the first and second exons and between the second and third exons. The MATEs in Group 3 had a larger number of exons than the other groups, that is, 10–13 exons. In contrast to Group 3, the MATEs in Group 4 have smaller exon numbers than the other groups, that is, 1–3 exons.

Figure 2.

Figure 2

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Conserved protein motifs and gene structures of the grape MATEs. (A) The neighbor-joining tree of Grape MATEs. (B) Protein motifs of the grape MATEs. Conserved motifs were identified by the MEME web server. Different motifs are represented by different colored boxes. (C) Exon–intron structures of the grape MATEs. Exons are shown as green boxes, introns are shown as black lines and untranslated regions (UTRs) are shown as blue boxes.

Protein motifs of grape MATEs were analyzed and schematized, as shown in Figure 2B. Twelve motifs were identified in grape MATEs. Generally, the motif patterns in Groups 1, 2, and 4 were similar. The motif patterns of Group 3 were different from those of the other groups, suggesting that the evolution and function of Group 3 were different from those of the other groups.

Transport Substrate and Physiological Function

As for plant species, such as rice (Wang et al., 2016a) and flax (Ali et al., 2021), the grape MATEs were classified into four groups. Previous reports (Wang et al., 2016a) suggested that group members share characteristics and transport similar substrates.

Group 1 included AtDTX19, AtDTX1, and AtDTX6 in Arabidopsis, NtJAT1 in tobacco, and LaMATE2 in white lupin (Figure 1). AtDTX19 transports tetramethylammonium and protects the roots from toxic compounds in the soil (Diener et al., 2001). AtDTX1 transports alkaloids, antibiotics, and toxic compounds (Li et al., 2002). AtDTX6 transports paraquat and relates to paraquat tolerance (Xia et al., 2021). NtJAT1 transports alkaloids, such as nicotine (Morita et al., 2009). LaMATE2 is responsible for exporting isoflavonoids, such as genistein, from the roots to recruit Rhizobia (Biala-Leonhard et al., 2021). These results suggested that grape MATEs in Group 1 are involved in the transport of toxic compounds, alkaloids, and flavonoids. VvMATE1 and VvMATE2 have high homology with LaMATE2, suggesting that VvMATE1 and VvMATE2 have the potential to transport flavonoids.

Group 2 included AtDTX41, AtDTX35, AtDTX33, and AtDTX25 of Arabidopsis and NtJAT2, NtMATE1, and NtMATE2 of tobacco (Figure 1). AtDTX41 is responsible for accumulating proanthocyanidin precursors in vacuoles and for anthocyanin transport (Marinova et al., 2007). AtDTX35 is involved in flavonoid transport (Thompson et al., 2010), and also reported to be a chloride channel (Zhang et al., 2017). AtDTX33 also reported to be a chloride channel (Zhang et al., 2017). AtDTX25 transports ascorbate to vacuole and relates to Fe transport to seeds (Hoang et al., 2021). NtJAT2, NtMATE1, and NtMATE2 are involved in the transport of alkaloids, such as nicotine (Morita et al., 2009; Shoji et al., 2009; Shitan et al., 2014). Based on these reports, the grape MATEs in Group 2 are considered to transport flavonoids and alkaloids. The possibility that the grape MATEs in Group 2 were involved in the transport of polyphenolic compounds will be discussed later.

Group 3 included AtDTX43 and AtDTX43 in Arabidopsis and ZmMATE1 in maize (Figure 1). AtDTX43 contributes to iron and zinc homeostasis by transporting citric acid (Pineau et al., 2012). ZmMATE1 and AtDTX42 are responsible for the aluminum detoxification by transporting citrate (Maron et al., 2010; Wang et al., 2016b). These results suggested that the grape MATEs in Group 3 were responsible for organic acid transport.

Group 4 included AtDTX50 and AtDTX51 in Arabidopsis (Figure 1). AtDTX50 is responsible for the efflux of abscisic acid (ABA; Zhang et al., 2014). AtDTX51 has been reported to contribute to auxin and salicylic acid (SA) signaling (Sun et al., 2011; Li et al., 2014). These results suggested that some grape MATEs in Group 4 function in the transport or signaling of phytohormones, including ABA, auxin, and SA, and play an important role in the grapes’ growth and defense response.

In silico Gene Expression Analysis

To understand the functions of MATEs in the growth and berry development of grapes, the gene expression in various organs, tissues, and growth stages of berries was profiled. Microarray data were obtained from the Grape eFP Browser, and a heat map was created (Figure 3). Although the genes of most grape MATEs were uniformly expressed in various organs, tissues, and growth stages of berries, some genes were expressed in specific organs, tissues, or growth stages of berries.

Figure 3.

Figure 3

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Gene expression profiles of the grape MATEs in various organs, tissues, and developmental stages. The gene expression data of Vitis vinfera “Corvina” (GEO Accession: GSE36128) were normalized using logarithm with the base of 10. The heat maps were created by HemI (Deng et al., 2014). PHWI: post-harvest withering I, PHWII: post-harvest withering II, PHWIII: berry flesh post-harvest withering III.

VvMATE31, VvMATE42, and VvMATE46 showed extremely high expression in all organs, tissues, and growth stages of berries, suggesting that they function as the major MATEs in grapes. VvMATE22 was highly expressed in seed and berry tissues at early developmental stages, and its expression decreased with development, suggesting that VvMATE22 function is important in young grape berries. VvMATE36 was highly expressed in pollen, and VvMATE50 expression was higher in the rachis than in other organs, although their expression was not specific.

Discussion

Grapes are important fruits not only for eating but also for wine production. Polyphenolic compounds, including anthocyanins, catechins, and resveratrol, are important for the berries’ skin color and astringency and are functional compounds for human health. Therefore, grape berry content has a significant effect on grape quality.

As mentioned above, grape MATEs belonging to Group 2 may potentially transport polyphenolic compounds. Indeed, VvMATE1 and VvMATE2 (VvMATE31 and VvMATE30 in this study) have been reported to transport proanthocyanidins (Perez-Diaz et al., 2014), and VvAM1 and VvAM3 (VvMATE39 and VvMATE37 in this study) have been reported to transport anthocyanins, that is, cyanidin 3-glycosides (Gomez et al., 2009). Uncharacterized VvMATE38 in the same clade as VvMATE37 and VvMATE39 (Figure 4) had the potential to transport anthocyanins. The gene expression of VvMATE38 increased dramatically at the veraison stage, whereas those of VvMATE37 and VvMATE39 did not (Supplementary Figure S2A). These results suggested that VvMATE38 functions as an anthocyanin transporter for grape berry skin coloration.

Figure 4.

Figure 4

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Phylogenetic tree of the group 2 MATEs of grape, Arabidopsis, and those of other plant species reported previously. Amino acid sequences of the MATEs of grape and those of other plant species (Li et al., 2002; Takanashi et al., 2014) were aligned using the ClustalW program. The phylogenetic tree was created by MEGAX using the neighbor-joining model. The group2 of grape MATEs are indicated with purple. Substrates of the MATEs with circles have been reported previously (different colors show different substrate, Takanashi et al., 2014; Zhang et al., 2017).

VvMATE3 and VvMATE1 (VvMATE30 and VvMATE 31 in this study) have been reported to transport proanthocyanidins. The gene expression levels of VvMATE3 and VvMATE1 in seeds, where proanthocyanidin accumulation occurs, were high before veraison and decreased rapidly at the veraison stage, whereas those in berry skin did not change before and after veraison (Perez-Diaz et al., 2014). These trends were consistent with the gene expression of VvMATE30 and VvMATE 31 in the in silico gene expression analysis shown in Supplementary Figure S2B. Based on these results, VvMATE30 and VvMATE31 were considered to play important roles in the accumulation of proanthocyanidins in grape seeds.

Aluminum ions (Al3+) in acidic soils, which account for approximately 50% of the world’s cultivated land, are toxic to most plants. In contrast, iron ions are essential for plants, and their homeostasis is important for various enzymatic reactions, including respiration and electron transfer systems in photosynthesis (Briat et al., 2015). Al3+ and iron ions are chelated by organic acids, such as citric acid and malic acid, produced by plants. Chelation is important for Al3+detoxification and Fe ion facilitation (Kochian et al., 2015). As mentioned above, the grape MATEs in Group 3 have a potential to detoxify Al3+ and promote the translocation of iron ions via organic acid transport. Protein motif analysis showed that the grape MATEs in Group 3 had a unique structural feature (Figure 2B). This structural feature has also been observed in soybeans (Liu et al., 2016), poplars (Li et al., 2017) and flax (Ali et al., 2021). This suggested that the structural features of the MATEs in Group 3 are important for the transport of organic acids.

In the same clade, VvMATE 46, VvMATE 47, and VvMATE 49 were present with the MATEs of other plants, which are related to Al3+ detoxification or iron ion translocation via citrate transport (Figure 5). VvMATE46, VvMATE47, and VvMATE49 were expressed in the whole plant body, including roots (Figure 3). These results suggested that VvMATE46, VvMATE47, and VvMATE49 are involved in Al3+ detoxification in roots and iron ion translocation in the plant body. The gene expression of VvMATE46, VvMATE47, and VvMATE49 were detected in berries (Figure 3), suggesting that they have a potential to transport organic acids and play a role in organic acid accumulation in grape berries.

Figure 5.

Figure 5

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Phylogenetic tree of the group 3 MATEs of grape, Arabidopsis, and those of other plant species reported previously. Amino acid sequences of the MATEs of grape and those of other plant species (Li et al., 2002; Takanashi et al., 2014) were aligned using the ClustalW program. The phylogenetic tree was created by MEGAX using the neighbor-joining model. The group3 of grape MATEs are indicated with purple. MATEs with circle are reported their substrate previously (different colors show different substrates, Takanashi et al., 2014).

Conclusion

This study performed a genome-wide analysis of grape MATEs and identified 59 genes in the grape MATE family. We collected and listed useful information, such as gene IDs, gene structures, protein sizes, motifs, predicted subcellular localization, and gene expression profiles. Phylogenetic analysis revealed the presence of four groups in the grape MATE family, and the transport substrates were estimated for each group. Physiological functions of grape MATEs were discussed together with the estimated transport substrates and gene expression profiles. From this discussion, the uncharacterized MATE, VvMATE38, was suggested as an anthocyanin transporter to color grape berry skin. Different genome annotations assigned different gene IDs for the grape genome, which led to confusion in grape research. In this study, the gene IDs by the different genome annotations were corresponded and the confusion was eliminated. The information provided in this study is essential for research on grape MATEs and will be useful in future studies.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author Contributions

KS conceived and managed the research project. MW performed analyses. SO and SM provided scientific suggestions. MW and KS wrote the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by grants from the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (24380019, 18H05361, 18H03950, 21H02184, and 21K19111) and by the research program on development of innovative technology grants (28001A and 28001AB) from the Project of the Bio-oriented Technology Research Advancement Institution (BRAIN).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.892638/full#supplementary-material

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