MYB is a large family of plant transcription factors. Its function has been identified in several plants, while there are few reports in Medicago truncatula. In this study, we used RNA-seq data to analyze and identify R2R3-MYB genes in the genome of Medicago truncatula. Phylogenetic analysis classified 150 MtMYB genes into 21 subfamilies with homologs. Out of the 150 MtMYB genes, 139 were distributed among 8 chromosomes, with tandem duplications (TD) and segment duplications (SD). Microarray data were used for functional analysis of the MtMYB genes during growth and developmental processes providing evidence for a role in tissues differentiation, seed development processes, and especially the nodulation process. Furthermore, we investigated the expression of MtMYB genes in response to abiotic stresses using RNA-seq data, which confirmed the critical roles in signal transduction and regulation processes under abiotic stress. We used quantitative real-time PCR (qRT-PCR) to validate expression profiles. The expression pattern of M. truncatula MYB genes under different abiotic stress conditions suggest that some may play a major role in cross-talk among different signal transduction pathways in response to abiotic stresses. Our study will serve as a foundation for future research into the molecular function of M. truncatula R2R3-MYB genes.
MYB is a large family of plant transcription factors. Its function has been identified in several plants, while there are few reports in Medicago truncatula. In this study, we used RNA-seq data to analyze and identify R2R3-MYB genes in the genome of Medicago truncatula. Phylogenetic analysis classified 150 MtMYB genes into 21 subfamilies with homologs. Out of the 150 MtMYB genes, 139 were distributed among 8 chromosomes, with tandem duplications (TD) and segment duplications (SD). Microarray data were used for functional analysis of the MtMYB genes during growth and developmental processes providing evidence for a role in tissues differentiation, seed development processes, and especially the nodulation process. Furthermore, we investigated the expression of MtMYB genes in response to abiotic stresses using RNA-seq data, which confirmed the critical roles in signal transduction and regulation processes under abiotic stress. We used quantitative real-time PCR (qRT-PCR) to validate expression profiles. The expression pattern of M. truncatula MYB genes under different abiotic stress conditions suggest that some may play a major role in cross-talk among different signal transduction pathways in response to abiotic stresses. Our study will serve as a foundation for future research into the molecular function of M. truncatula R2R3-MYB genes.
Myeloblastosis (MYB) genes are one of the largest transcription factors families in the plant kingdom (Romero ; Rosinski and Atchley, 1998). MYB typically contain an MYB-binding domain at the N-terminus, composed of 1-4 imperfect repeats, with approximately 51-52 amino acid residues of incomplete conserved peptides encoding three α-helices (Kanei-Ishii ; Lipsick, 1996; Stracke ). These three α-helices form a helix-turn-helix (HTH) structure and fold with three relatively conserved tryptophan residues, separated by 18-19 amino acid residues of regular arrangement, and further participate in the formation of hydrophobic interactions (Ogata ). The structure of the MYB domain reveals that the HTH interacts with the major groove of DNA (Ogata ). MYB-containing genes have a diverse number of MYB proteins containing incomplete repeats and are divided into four categories, 1R-MYB, R2R3-MYB, R1R2R3-MYB, and 4R-MYB (Jin and Martin, 1999).In the MYB gene family, R2R3-MYB is the largest category in plants and yeast (Martin and Pazares, 1997; Jin and Martin, 1999). To date, 126 R2R3-MYB genes have been identified in Arabidopsis (Stracke ), 157 in maize (Du ), 244 in soybean (Du ), 205 in Gossypium raimondii (He ), and 166 in cassava (Liao ). R2R3-MYB transcription factors are involved with abiotic stress response, reactive oxygen species signaling pathways, secondary metabolism, and hormone signaling pathways. AtMYB41 from Arabidopsis is induced in response to high salinity, drought, cold, and abscisic acid (Lippold ). AtMYB102 are rapidly induced by osmotic stress and abscisic acid (ABA) treatment (Denekamp and Smeekens, 2003). OsMYB55 is induced in rice by high temperature and over-expression of OsMYB55 resulted in improved plant growth under high temperature (Elkereamy ). Meanwhile, OsMYB91 plays a role in plant growth regulation and salt stress tolerance in rice (Zhu ). TaMYB4 of wheat is induced by salicylic acid, ethylene, abscisic acid, and methyl jasmonate, demonstrating a role of TaMYB4 in response to biotic stress (Al-Attala ). GbMYB5 from Gossypium barbadense is positively involved in response to drought stress during plant development (Chen ). GbMYBFL, involving in flavonoid biosynthesis, is most closely related to R2R3-MYB and displays high similarity to MYB from other plants (Zhang ).Medicago truncatula is a model plant for genetic research of legume plants (Young and Udvardi, 2009), as it has a small genome, high genetic transformation efficiency, self-pollination, nitrogen fixing, along with high biological diversity. Crop improvement of legume breeding has become an important subject (Lee ). MtERF and MtMAPKKK gene families of M. truncatula are valuable for characterizing molecular function to improve stress tolerance in plants (Li ; Shu ). However, the R2R3-MYB family is poorly identified on a genomic level in M. truncatula.In this study, we performed a genome-wide analysis of the R2R3-MYB gene family in M. truncatula, including multiple alignment analysis, phylogenetic analysis, chromosome localization, gene duplication analysis, and expression profiling. We used quantitative real-time reverse transcription (qRT-PCR) experiments to compare and analyze five stress treatments (ABA, cold, freezing, drought, and salt) with a control treatment. Our study will serve as a foundation for future research into the molecular function of M. truncatula R2R3-MYB genes.
Materials and Methods
Plant growth and treatment
M. truncatula (cv. JemalongA17) seeds were grown in a growth chamber (Conviron E15), between 18ºC (night) and 24ºC (day), with humidity ranging from 60% to 80%, and a 14/10 h light-dark period (light, 06:00–20:00). The seedlings were irrigated with half-strength Hoagland solution once every other day. At 8 weeks, M. truncatula were randomly divided into six groups for stress treatments. Plants treated with cold stress (B group) and freezing stress (C group) were transferred to chambers set at 4 ºC and -8 ºC, respectively. Plants treated with drought stress (D group) and salt stress (E group) were respectively treated with 300 mM mannitol and 200 mM NaCl solutions. Plants in the ABA (F group) treatment group were sprayed with 100 μM ABA solution. The control (untreated, A group) and treated (B-F groups) seedlings were harvested 3 h after treatment. For each group, five randomly chosen whole seedlings were pooled to form a biological replicate. All plant samples were frozen in liquid nitrogen and stored at -80 ºC until use.
Database search for MYB proteins in M. truncatula
M. truncatula genome and protein sequences were downloaded from JCVI (http://jcvi.org/medicago/, Mt4.0) (Young ). R2R3-MYB protein sequences of Arabidopsis were obtained from TAIR (http://www.arabidopsis.org/) (Poole, 2007) and served as queries to search against the M. truncatula proteins using the BLASTP program with e-values of 1E-3. All BLAST hits were retrieved and searched using the Hidden Markov Model (HMM) profile of the R2R2-MYB DNA-binding domain (PF000249), which was downloaded from the Pfam website (http://pfam.xfam.org/) (Finn ).
Phylogenetic analysis of the M. truncatula R2R3-MYB gene family
Phylogenetic analysis was performed using MEGA (Version 5.0), and constructed using neighbor-joining (NJ) methods. The NJ method used the following parameters: Poisson correction, pair-wise deletion, and 1000 bootstrap analysis for statistical reliability (Tamura ).
Chromosomal location and gene duplication of R2R3-MYB gene family
The location of R2R3-MYB genes were mapped to different chromosomes using the Circos software (http://circos.ca/) (Krzywinski ). If two genes with similarities of more than 85% were separated by four or fewer gene loci, they were identified as tandem duplications (TD). Otherwise, they were classified as segmental duplications (SD). The duplications with R2R3-MYB genes were identified by plant genome duplications (PGDD, http://chibba.agtec.uga.edu/duplication/) (Lee , Shu ), and duplicated genes between different chromosomes or loci were linked in the diagrams.
Expression analysis of R2R3-MYB genes in plant growth and development using high throughput data
We studied the expression analysis of R2R3-MYB genes during growth and development and under different abiotic stress treatments. Gene expression data were downloaded from the Medicago truncatula Gene Expression Atlas (MtGEA) Project (MtGEA, http://mtgea.noble.org/v3/) (Benedito ). Genome-wide transcriptome data from M. truncatula in different tissues during development were downloaded from the NCBI short read archive database (SRA database) (http://www.ncbi.nlm.nih.gov).
Expression analysis of R2R3-MYB genes under different abiotic stress treatment conditions
Under six different abiotic stress treatments, MtMYB gene expressional values were evaluated using the TopHat (Trapnell ) and Cufflinks (Trapnell ) software. The data were analyzed, clustered, and displayed using the ggplot2 of R software (Version 3.1.0), as our previous research described (Shu ).
Quantitative reverse transcription PCR (qRT-PCR) analysis of R2R3-MYB genes expressed in M. truncatula
Ten R2R3-MYB genes were selected and quantitative primers were designed based on genes sequences, while the ACTIN and GAPDH genes served as reference genes (see Table S1). Total RNA was extracted from M. truncatula grown under the six conditions (control, ABA, drought, salt, cold, and freezing) using a total RNA kit (Tiangen, Beijing, China) according to the manufacturer’s instructions. The RNA extracts were reverse transcribed to cDNA, using a PrimeScript RT reagent Kit (Toyobo, Shanghai, China). qRT-PCR was performed using the LightCycler®96 System (Roche, Rotkreuz, Switzerland) with SYBR Premix Ex TaqTM II (Toyobo, Shanghai, China). The experiments were repeated for three biological replicates and the PCR conditions were set as follows: 95 ºC for 2 min, 40 cycles of 95 ºC for 30 s, 55 ºC for 30 s, and 72 º for 1 min. The fold change value was calculated using the expression abundances, which based on the 2-ΔΔCT method.
Results
Identification and classification of R2R3-MYB genes in M. truncatula
To identify R2R3-MYB genes in M. truncatula, Arabidopsis R2R3-MYB gene sequences were used as queries with e-value set as 1E-3. The gene name, gene locus, chromosome location, amino acid sequence, introns, family groups, and isoelectric point (pI) are described in Table 1. Out of the 150 MtMYB genes, 139 genes were distributed across 8 chromosomes of M. truncatula. The remaining 11 MtMYB genes were MtMYB5, 6, 7, 13, 14, 16, 34, 35, 36, 37, and 52. The length of these 139 R2R3-MYB ranged from 194 to 1514 amino acids, with an intron distribution of 0-12, and the isoelectric point were distributed from 4.77 to 9.93.
Table 1
List of all MtMYB genes identified in the Medicago truncatula genome.
Gene Name
Gene Locus
Chromosome Location
AA
Introns
Family Group
pI
MtMYB001
Medtr3g039990
chr3:13992780-13994617
312
2
1
5.44
MtMYB002
Medtr6g012180
chr6:3615718-3617850
319
2
1
5.76
MtMYB003
Medtr7g010210
chr7:2460324-2462646
272
3
1
8.94
MtMYB004
Medtr7g087130
chr7:33927709-33929377
339
2
1
6.54
MtMYB005
Medtr0140s0030
scaffold0140:9682-11671
335
2
1
6.6
MtMYB006
Medtr0489s0020
scaffold0489:9594-10964
335
2
1
6.6
MtMYB007
Medtr0251s0050
scaffold0251:9249-10577
273
1
2
5.09
MtMYB008
Medtr1g043050
chr1:16126632-16128228
255
2
2
5.58
MtMYB009
Medtr1g043080
chr1:16137369-16139502
256
2
2
5.6
MtMYB010
Medtr1g076150
chr1:33730166-33733155
259
2
2
5.31
MtMYB011
Medtr7g096930
chr7:38915313-38918018
279
2
2
5.35
MtMYB012
Medtr7g115650
chr7:47812651-47813895
208
2
2
8.51
MtMYB013
Medtr0008s0390
scaffold0008:236494-237588
273
1
2
5.55
MtMYB014
Medtr0008s0470
scaffold0008:261364-262450
292
1
2
5.34
MtMYB015
Medtr2g067420
chr2:28203900-28207822
330
2
3
4.74
MtMYB016
Medtr0063s0090
scaffold0063:54059-56064
224
2
3
5.78
MtMYB017
Medtr4g073420
chr4:27807701-27809440
286
1
4
8.65
MtMYB018
Medtr4g485530
chr4:33337240-33340075
194
2
4
9.68
MtMYB019
Medtr5g079670
chr5:34066783-34068495
214
2
4
9.14
MtMYB020
Medtr8g095390
chr8:39916215-39917940
316
2
4
9.14
MtMYB021
Medtr4g100720
chr4:41544004-41544940
176
3
5
8.25
MtMYB022
Medtr4g125520
chr4:52070924-52072242
308
2
5
8.34
MtMYB023
Medtr8g020490
chr8:7194946-7196540
255
2
5
8.55
MtMYB024
Medtr5g078800
chr5:33679342-33680505
266
2
6
8.76
MtMYB025
Medtr5g078860
chr5:33697936-33699039
307
2
6
8.76
MtMYB026
Medtr5g078910
chr5:33733725-33736557
301
2
6
9.06
MtMYB027
Medtr5g078930
chr5:33748446-33750303
220
2
6
9.74
MtMYB028
Medtr5g078950
chr5:33762292-33763827
266
2
6
9.14
MtMYB029
Medtr5g079120
chr5:33821199-33824299
307
3
6
9.12
MtMYB030
Medtr5g079220
chr5:33865422-33867467
277
2
6
8.08
MtMYB031
Medtr5g079290
chr5:33903955-33904999
265
2
6
9.11
MtMYB032
Medtr7g017260
chr7:5468456-5471716
276
2
6
7.59
MtMYB033
Medtr8g060940
chr8:21305461-21306435
245
2
6
5.83
MtMYB034
Medtr0001s0360
scaffold0001:148343-149371
254
2
6
8.13
MtMYB035
Medtr0193s0090
scaffold0193:23279-25596
208
2
6
9.27
MtMYB036
Medtr0197s0010
scaffold0197:3158-6293
230
2
6
5.79
MtMYB037
Medtr0247s0040
scaffold0247:19831-22448
180
2
6
9.56
MtMYB038
Medtr2g034790
chr2:13342703-13345610
333
2
7
5.57
MtMYB039
Medtr4g121460
chr4:50199327-50201231
340
2
7
5.21
MtMYB040
Medtr7g117730
chr7:48891947-48893156
257
1
7
9.19
MtMYB041
Medtr8g027345
chr8:9621235-9622899
301
1
7
7.03
MtMYB042
Medtr1g100653
chr1:45593395-45595446
296
2
9
7.16
MtMYB043
Medtr4g082230
chr4:31939369-31942857
408
2
9
6.02
MtMYB044
Medtr4g082290
chr4:31999665-32001816
408
2
9
5.77
MtMYB045
Medtr6g012690
chr6:3910120-3912657
358
2
9
5.54
MtMYB046
Medtr7g011170
chr7:2948411-2950937
310
2
9
6.57
MtMYB047
Medtr7g076740
chr7:28944308-28947368
305
2
9
8.15
MtMYB048
Medtr8g031360
chr8:11745382-11748030
298
2
9
5.92
MtMYB049
Medtr4g478180
chr4:30006885-30009067
354
3
10
6.36
MtMYB050
Medtr5g007370
chr5:1317895-1319526
300
1
10
6.25
MtMYB051
Medtr5g029840
chr5:12551795-12553088
335
1
10
6.26
MtMYB052
Medtr0008s0280
scaffold0008:117749-119885
232
2
10
6.21
MtMYB053
Medtr2g011660
chr2:2891380-2892991
346
2
11
5.85
MtMYB054
Medtr2g089450
chr2:37807548-37809745
251
2
11
7.62
MtMYB055
Medtr2g089620
chr2:37880385-37882262
327
2
11
6.45
MtMYB056
Medtr4g091490
chr4:36245993-36247326
359
2
11
5.87
MtMYB057
Medtr1g085040
chr1:37962367-37964302
370
2
13
7.1
MtMYB058
Medtr1g085640
chr1:38268101-38269978
389
2
13
6.1
MtMYB059
Medtr1g112760
chr1:51044088-51045093
231
2
13
8.61
MtMYB060
Medtr3g077110
chr3:34625609-34627040
350
2
13
5.71
MtMYB061
Medtr4g105130
chr4:43559175-43561153
362
2
13
5.51
MtMYB062
Medtr7g110830
chr7:45437545-45439504
368
2
13
5.28
MtMYB063
Medtr7g111290
chr7:45674622-45676610
382
2
13
6.26
MtMYB064
Medtr1g017000
chr1:4609270-4612231
253
2
14
6.22
MtMYB065
Medtr1g017140
chr1:4685126-4687287
342
2
14
7.21
MtMYB066
Medtr2g095520
chr2:40818577-40820355
321
2
14
7.02
MtMYB067
Medtr3g103570
chr3:47845667-47847265
348
2
14
6.26
MtMYB068
Medtr4g057635
chr4:21173419-21175385
325
2
14
6.67
MtMYB069
Medtr4g097570
chr4:40253351-40254860
294
2
14
8.04
MtMYB070
Medtr4g128670
chr4:53556826-53558636
351
2
14
5.43
MtMYB071
Medtr5g014990
chr5:5113035-5114677
310
2
14
7.49
MtMYB072
Medtr6g090405
chr6:34357171-34358762
256
2
14
5.53
MtMYB073
Medtr7g102110
chr7:41207062-41209098
273
2
14
6.13
MtMYB074
Medtr1g100667
chr1:45604161-45606367
273
2
16
9.4
MtMYB075
Medtr6g055910
chr6:20067285-20071069
284
2
16
6.55
MtMYB076
Medtr1g083630
chr1:37214098-37220601
631
10
18
8.87
MtMYB077
Medtr1g085770
chr1:38342281-38444471
308
3
18
7.64
MtMYB078
Medtr1g085880
chr1:38446474-38447221
194
1
18
9.25
MtMYB079
Medtr2g088170
chr2:37135155-37138193
460
2
18
5.04
MtMYB080
Medtr5g062790
chr5:26032596-26033729
305
2
18
4.67
MtMYB081
Medtr5g088080
chr5:38180518-38181517
267
2
18
5.06
MtMYB082
Medtr5g088150
chr5:38189614-38190613
267
2
18
5.06
MtMYB083
Medtr5g088610
chr5:38446993-38448346
356
2
18
5.03
MtMYB084
Medtr5g088640
chr5:38455878-38456905
276
2
18
5.06
MtMYB085
Medtr5g488170
chr5:38207742-38208675
245
2
18
8.27
MtMYB086
Medtr5g488210
chr5:38216839-38217838
267
2
18
5.06
MtMYB087
Medtr6g006030
chr6:968935-973160
210
2
19
6.79
MtMYB088
Medtr7g035075
chr7:13292852-13298285
209
2
19
6.07
MtMYB089
Medtr1g086510
chr1:38706430-38707982
266
2
20
6.71
MtMYB090
Medtr1g086530
chr1:38719605-38720569
279
1
20
5.57
MtMYB091
Medtr1g110460
chr1:49847994-49849320
312
2
20
6.97
MtMYB092
Medtr2g033170
chr2:12558787-12561118
330
2
20
5.54
MtMYB093
Medtr4g123040
chr4:50776703-50778712
316
2
20
6.9
MtMYB094
Medtr4g082040
chr4:31789875-31791702
428
2
21
5.48
MtMYB095
Medtr5g041570
chr5:18244022-18246575
439
2
21
5.81
MtMYB096
Medtr6g027340
chr6:9347619-9348708
206
2
21
9.43
MtMYB097
Medtr6g027370
chr6:9359727-9361707
353
2
21
9.13
MtMYB098
Medtr6g074860
chr6:27791872-27795423
242
2
21
8.94
MtMYB099
Medtr7g086960
chr7:33824449-33826853
357
2
21
8.87
MtMYB100
Medtr3g101290
chr3:46598679-46599616
227
0
22
6.39
MtMYB101
Medtr4g094982
chr4:39426938-39428438
272
0
22
5.76
MtMYB102
Medtr5g016510
chr5:5923364-5924314
317
0
22
8.35
MtMYB103
Medtr5g082910
chr5:35747490-35748793
289
1
22
8.33
MtMYB104
Medtr6g015455
chr6:5126272-5138191
1514
9
22
6.6
MtMYB105
Medtr4g019370
chr4:6040082-6046125
351
1
23
6.1
MtMYB106
Medtr3g074520
chr3:33695057-33696802
347
2
24
5.76
MtMYB107
Medtr1g026870
chr1:8820780-8826887
984
10
25
5.45
MtMYB108
Medtr1g045610
chr1:17117606-17119422
259
2
25
9.28
MtMYB109
Medtr1g057980
chr1:25521596-25523733
298
2
25
6.68
MtMYB110
Medtr1g062940
chr1:27632125-27633748
219
3
25
5.7
MtMYB111
Medtr1g073170
chr1:32447073-32448262
258
2
25
7.64
MtMYB112
Medtr2g064160
chr2:27171680-27173646
314
2
25
6.14
MtMYB113
Medtr2g096380
chr2:41173925-41175393
237
2
25
6.2
MtMYB114
Medtr2g097910
chr2:41830130-41832026
320
1
25
5.63
MtMYB115
Medtr2g099740
chr2:42787607-42789410
402
1
25
6.27
MtMYB116
Medtr3g065440
chr3:29570010-29573532
312
3
25
4.81
MtMYB117
Medtr3g077650
chr3:34915543-34917386
448
2
25
6.65
MtMYB118
Medtr3g083540
chr3:37705148-37706353
304
1
25
6.83
MtMYB119
Medtr3g097450
chr3:44673726-44675570
298
2
25
8.71
MtMYB120
Medtr3g110028
chr3:50889343-50895792
904
11
25
5.08
MtMYB121
Medtr3g461490
chr3:24436965-24438138
326
2
25
6.31
MtMYB122
Medtr4g063100
chr4:23343932-23345888
254
2
25
5.44
MtMYB123
Medtr4g065017
chr4:24357511-24360058
333
1
25
5.31
MtMYB124
Medtr4g088015
chr4:34653348-34657396
443
2
25
9.15
MtMYB125
Medtr4g102380
chr4:42421826-42423447
273
1
25
5.26
MtMYB126
Medtr4g105660
chr4:43865250-43867027
431
2
25
6.39
MtMYB127
Medtr5g010020
chr5:2590454-2592700
340
2
25
5.8
MtMYB128
Medtr5g010650
chr5:2899487-2902910
477
7
25
8.32
MtMYB129
Medtr5g038910
chr5:17123381-17129369
391
10
25
6.19
MtMYB130
Medtr5g049190
chr5:21549233-21551259
243
2
25
6.36
MtMYB131
Medtr5g070020
chr5:29670807-29672960
356
2
25
8.58
MtMYB132
Medtr5g078140
chr5:33378172-33380732
321
2
25
5.12
MtMYB133
Medtr6g009430
chr6:2790201-2792486
337
2
25
5.59
MtMYB134
Medtr7g035350
chr7:13467452-13470094
451
2
25
5.66
MtMYB135
Medtr7g037130
chr7:13641861-13644153
359
2
25
8.62
MtMYB136
Medtr7g037260
chr7:13704241-13706602
359
2
25
8.99
MtMYB137
Medtr7g061330
chr7:22157000-22164437
531
7
25
9.15
MtMYB138
Medtr7g061550
chr7:22184367-22187445
360
1
25
9.39
MtMYB139
Medtr7g450950
chr7:17066918-17069310
339
2
25
5.53
MtMYB140
Medtr7g451170
chr7:17173579-17176966
413
2
25
9.22
MtMYB141
Medtr7g461410
chr7:22216202-22220641
567
6
25
8.75
MtMYB142
Medtr8g006470
chr8:571945-573793
288
2
25
6.22
MtMYB143
Medtr8g017340
chr8:5841430-5843448
493
2
25
4.92
MtMYB144
Medtr8g017350
chr8:5847584-5850190
644
3
25
4.79
MtMYB145
Medtr8g017390
chr8:5885779-5887719
476
2
25
5.34
MtMYB146
Medtr8g017440
chr8:5919956-5921521
342
2
25
6.45
MtMYB147
Medtr8g017500
chr8:5958601-5960679
349
2
25
5.96
MtMYB148
Medtr8g017540
chr8:5983119-5985752
395
3
25
6.07
MtMYB149
Medtr8g098860
chr8:41349431-41351751
321
2
25
5.85
MtMYB150
Medtr8g468380
chr8:24758342-24766275
437
12
25
8.72
Phylogenetic analysis of the R2R3-MYB genes in M. truncatula
To investigate the evolutionary relationships of R2R3-MYB genes, we performed multiple sequence alignment and phylogenetic analysis. MtMYB transcription factors were queried against AtMYB transcription factors using BLASTP, and we constructed phylogenetic trees of the MtMYB transcription factor family using ClustalW2 and MEGA. MtMYB genes were divided into 21 subfamilies (Figure 1) consistent with the distribution of AtMYB gene family members. The subfamily 1 has six members, subfamily 6 has 14 members, subfamily 13 has seven members, subfamily 14 has ten members, and subfamily 18 has eleven members. This is similar to the distribution of the Arabidopsis subfamily members. R2R3-MYB transcription factors appeared to be conserved in plants as the evolution of M. truncatula is present in the evolution of Arabidopsis.
Figure 1
Phylogenetic tree analysis of the R2R3-MYB transcription factors in Medicago truncatula. Red circle: subgroup 1; red square: subgroup 2; red triangle: subgroup 3; red diamond: subgroup 4; blue circle: subgroup five; blue square subgroup six; blue indicates subgroup seven; blue diamond subgroup nine; green circular subgroup ten; green square subgroup 11; green triangle: subgroup 13; green diamond: subgroup 14; pink circle: subgroup 16; pink square: subgroup 18; pink triangle: subgroup 19; pink diamond: subgroup 20; cyan circle: subgroup 21; cyan square: subgroup 22; cyan triangle: subgroup 23; cyan diamond: subgroup 24; yellow circle: subgroup 25.
To determine the evolution and expansion of MYB genes, we used Circos software to construct the distribution of MYB genes across chromosomes (Figure 2). Out of the 150 R2R3-MYB genes, 139 were distributed across 8 chromosomes, mainly chromosome 1, 4, 5, and 7 (MtChr1, MtChr4, MtChr5 and MtChr7, respectively). There were 28 R2R3-MYB genes located on MtChr5 alone. The fewest number of genes were found on MtChr6 with ten R2R3-MYB genes. Using sequence alignment, mainly through gene duplication, 128 out of 139 genes were duplicated and divided into two categories. There were 68 segment duplications (SD) caused by the amplification of R2R3-MYB transcription factor members on different chromosomes and 60 tandem duplications (TD) resulting from the generation of R2R3-MYB transcription factor gene clusters. The SD and TD genes were mainly found on MtChr4, MtChr5, MtChr6, MtChr7, and MtChr8, while other chromosomes only contained SD genes. The regions containing TD genes were hot regions of gene distribution. These duplications may have led to the expansion of the MtMYB gene family in the M. truncatula genome.
Figure 2
Chromosome distribution and expansion analysis of R2R3-MYB transcription factors in Medicago truncatula. The genome locations of R2R3-MYB transcription factors were retrieved from Medicago genome website, and the duplications between R2R3-MYB genes identified using software PGDD and BLAST analysis.
Expression analysis of R2R3-MYB genes in growth and development
The expression information of 71 R2R3-MYB transcription factors were extracted and analyzed by cluster analysis (Figure 3 and Table S2) using the annotation information of microarray data based on MtGEA. We clustered the 71 R2R3-MYB transcription factors into four groups (A-D). Group A was mainly concentrated in the roots and nodules of M. truncatula. There was only low expression in other tissues and during developmental processes. Group B was mainly expressed in the development of seed. Group C genes were expressed in various organ tissues. These results indicated that they were both involved in tissues construction process of M. truncatula. Finally, Group D genes were expressed at a low level in various tissues and during developmental processes.
Figure 3
Microarray expression data of R2R3-MYB transcription factors in Medicago truncatula. The heatmap was generated using R gplots package. The expressional values of 71 R2R3-MYB genes were retrieved from MtGEA, and they were normalized and used as input, red represents high expressional levels, while blue represents low expressional level.
The transcriptome sequencing data of M. truncatula were downloaded from the NCBI SRA database, and the gene expression level was obtained using TopHat2 and Cufflinks analyses. We extracted 67 R2R3-MYB transcription factors (Figure 4 and Table S3). Multiple genes with high expression in the roots and nodules were classified into Group E, while Group F contained numbers of paralog genes, which were mainly up-regulated in the flower, the carps, and inflorescence.
Figure 4
RNA-seq analysis of R2R3-MYB transcription factors in Medicago truncatula. The heatmap was generated using R gplots package, and the FPKM values of Medicago truncatula genes were evaluated and normalized based RNA-seq data from NCBI SRA database. The plot data included expressional profiles of 67 R2R3-MYB genes in six tissues, and red represents high expressional levels, while blue represents low expressional level.
RNA-seq was used to investigate the expression of R2R3-MYB transcription factors in response to abiotic stress of M. truncatula. Out of the 150 MtMYB genes, 64 were expressed in response to abiotic stress (cold, freezing, drought, salt and ABA) (Figure 5 and Table S4). In the control treatment, multiple genes were down-regulated or showed no change in expression, yet few genes were up-regulated. We compared genes regulated in response to abiotic stress to the control treatment and found genes highly up-regulated in response to cold and freezing stresses (50/64, 78.1%). These genes interacted with their paralog genes showing co-expression. In response to drought, high salt, and ABA stresses, multiple genes showed opposing expression and co-expression of the pairs of paralog genes. Significantly, most of these genes showed only low expression or no expression. In particular, some genes were down-regulated and co-expressed in response to ABA stress. It was suggested that the expression of these transcription factors are induced by ABA hormones, which regulate the downstream response genes and affect the response of plants to drought stress and salt stress.
Figure 5
Expression profile analysis of R2R3-MYB transcription factors in response to abiotic stresses in Medicago truncatula. The heatmap was generated using R gplots package, and the FPKM values of Medicago truncatula genes were evaluated and normalized based RNA-seq data from NCBI SRA database. The plot data included expressional profiles of 64 R2R3-MYB genes in response to abiotic stress, and red represents high expressional levels, while blue represents low expressional level.
qRT-PCR validation of R2R3-MYB genes expressionTo validate the reliability of the RNA-seq data under abiotic stress in M. truncatula, we selected 10 R2R3-MYB transcription factors (MtMYB010, MtMYB011, MtMYB012, MtMYB013, MtMYB014, MtMYB054, MtMYB090, MtMYB100, MtMYB108, and MtMYB116) from M. truncatula for qRT-PCR validation. The expression levels of the RNA-seq data and qRT-PCR gene expression analysis resulted in a correlation coefficient of 0.85 (Figure 6). These results suggest the RNA-seq data are highly reliable.
Figure 6
qRT-PCR validation of R2R3-MYB transcription factors in Medicago truncatula. All expressional levels of each R2R3-MYB genes were normalized with control expression value (group A) set as one. The groups B (cold stress), C (freezing stress), D (drought stress), E (salt stress), and F (ABA treatment) were compared with control group, and fold-changes were calculated. The fold-change data was used to create the plot, and the blue indicates RNA-seq results, while pink indicates qRT-PCR analysis results.
Discussion
To date, R2R3-MYB transcription factors have been identified in plants, including Arabidopsis (126) (Yanhui ), maize (157) (Du ), rice (102) (Yanhui ), Populus (192) (Wilkins ), and cassava (166) (Liao ). The M. truncatula genome has been sequenced, yet the R2R3-MYB transcription factors have not been researched. This study performed genome-wide analysis of the R2R3-MYB transcription factors in M. truncatula. We identified 150 R2R3-MYB genes in M. truncatula and compared these with other plants. The R2R3-MYB genes of M. truncatula are similar to their Arabidopsis, maize, and cassava counterparts. The results indicated that R2R3-MYB transcription factors are highly conserved in plants.Cannon have shown gene duplication was closely related to plant evolution and played an important role in the gene amplification. Gene duplication analysis showed the same subfamily members were located on different chromosomes, such as the 21 subfamily gene members. These genes were distributed across all chromosomes and occurred as TD and SD. These results were consistent with the results of the phylogenetic tree. Furthermore, distribution of other subfamily members was confirmed based on clustering in the phylogenetic tree. These results suggest that the R2R3-MYB genes in M. truncatula are highly conserved as a result of gene duplication. The duplication pattern of R2R3-MYB genes, are consistent with the expression of R2R3-MYB genes in tomato (Zhao ) and Populus (Wilkins ). Tandem gene duplication was a major driver of gene expansion in M. truncatula.MYB genes play a role in plant development and stress tolerance (Martin and Pazares, 1997). We have shown that R2R3-MYB genes were typically expressed in the roots, nodules, seedpods, and flowers. Compared with soybean and Arabidopsis, differential expression was observed during flower development, root formation, and seed development for R2R3-MYB genes (Du ). Nodulation is the result of a symbiosis between legumes and rhizobial bacteria in soil. Libault have reported a gene named Control of Nodule Development (CND), encoding an MYB transcription factor gene. When the CND gene is silenced, nodulation is reduced (Libault ). These results indicate that the MYB transcription factors may play a major role in regulation of legume-specific nodulation.MYB transcription factor genes have been investigated as regulators for plant responses (Ambawat ). Their results show that MYB genes are involved in response to various abiotic stresses in higher plants. Herein, we found that MYB genes were not only down-regulated, but in some cases up-regulated in response to drought and salt stress. A positive response of MYB genes following drought stress, salt stress, and ABA-induced stress has been observed in Arabidopsis (AtMYB002, AtMYB060/AtMYB094, AtMYB044, and AtMYB096) (Cominelli ; Jung ; Seo ; Urao and Shinozaki, 1993), Boea crassifolia (BcMYB1) (Chen ), and Saccharum officinarum (ScMYBAS1) (Prabu and Prasad, 2012). However, MtMYB genes were up-regulated in response to cold and freezing stresses, while the opposite is observed in Arabidopsis. Interestingly, our result agrees with the expression profile of cotton in response to drought and salt stress (He ). Both cotton and M. truncatula are diploid and their duplication can be divided into TD and SD. The expression pattern of M. truncatula MYB genes under different abiotic stress conditions suggest that some may play a major role in cross-talk among different signal transduction pathways in response to abiotic stresses.
CONCLUSIONS
In summary, we have identified 150 MYB genes in M. truncatula, which were classified into 21 subfamilies based on phylogenetic analysis. Meanwhile, their expression profiles were investigated using microarray and RNA-seq. The results revealed regulatory roles in plant growth and tissue development, and especially nodule development. In addition, we explored the role of the MYB genes in response to abiotic stresses. Our results suggested MYB transcription factors broadly participate in abiotic stress response of M. truncatula, whose function can be carefully explored in future.
Authors: Nevin D Young; Frédéric Debellé; Giles E D Oldroyd; Rene Geurts; Steven B Cannon; Michael K Udvardi; Vagner A Benedito; Klaus F X Mayer; Jérôme Gouzy; Heiko Schoof; Yves Van de Peer; Sebastian Proost; Douglas R Cook; Blake C Meyers; Manuel Spannagl; Foo Cheung; Stéphane De Mita; Vivek Krishnakumar; Heidrun Gundlach; Shiguo Zhou; Joann Mudge; Arvind K Bharti; Jeremy D Murray; Marina A Naoumkina; Benjamin Rosen; Kevin A T Silverstein; Haibao Tang; Stephane Rombauts; Patrick X Zhao; Peng Zhou; Valérie Barbe; Philippe Bardou; Michael Bechner; Arnaud Bellec; Anne Berger; Hélène Bergès; Shelby Bidwell; Ton Bisseling; Nathalie Choisne; Arnaud Couloux; Roxanne Denny; Shweta Deshpande; Xinbin Dai; Jeff J Doyle; Anne-Marie Dudez; Andrew D Farmer; Stéphanie Fouteau; Carolien Franken; Chrystel Gibelin; John Gish; Steven Goldstein; Alvaro J González; Pamela J Green; Asis Hallab; Marijke Hartog; Axin Hua; Sean J Humphray; Dong-Hoon Jeong; Yi Jing; Anika Jöcker; Steve M Kenton; Dong-Jin Kim; Kathrin Klee; Hongshing Lai; Chunting Lang; Shaoping Lin; Simone L Macmil; Ghislaine Magdelenat; Lucy Matthews; Jamison McCorrison; Erin L Monaghan; Jeong-Hwan Mun; Fares Z Najar; Christine Nicholson; Céline Noirot; Majesta O'Bleness; Charles R Paule; Julie Poulain; Florent Prion; Baifang Qin; Chunmei Qu; Ernest F Retzel; Claire Riddle; Erika Sallet; Sylvie Samain; Nicolas Samson; Iryna Sanders; Olivier Saurat; Claude Scarpelli; Thomas Schiex; Béatrice Segurens; Andrew J Severin; D Janine Sherrier; Ruihua Shi; Sarah Sims; Susan R Singer; Senjuti Sinharoy; Lieven Sterck; Agnès Viollet; Bing-Bing Wang; Keqin Wang; Mingyi Wang; Xiaohong Wang; Jens Warfsmann; Jean Weissenbach; Doug D White; Jim D White; Graham B Wiley; Patrick Wincker; Yanbo Xing; Limei Yang; Ziyun Yao; Fu Ying; Jixian Zhai; Liping Zhou; Antoine Zuber; Jean Dénarié; Richard A Dixon; Gregory D May; David C Schwartz; Jane Rogers; Francis Quétier; Christopher D Town; Bruce A Roe Journal: Nature Date: 2011-11-16 Impact factor: 49.962