Open Access

Transcriptomic changes reveal gene networks responding to the overexpression of a blueberry DWARF AND DELAYED FLOWERING 1 gene in transgenic blueberry plants

BMC Plant BiologyBMC series – open, inclusive and trusted201717:106

DOI: 10.1186/s12870-017-1053-z

Received: 26 November 2016

Accepted: 6 June 2017

Published: 19 June 2017

Abstract

Background

Constitutive expression of the CBF/DREB1 for increasing freezing tolerance in woody plants is often associated with other phenotypic changes including dwarf plant and delayed flowering. These phenotypic changes have been observed when Arabidopsis DWARF AND DELAYED FLOWERING 1 (DDF1) was overexpressed in A. thaliana plants. To date, the DDF1 orthologues have not been studied in woody plants. The aim of this study is to investigate transcriptomic responses to the overexpression of blueberry (Vaccinium corymbosum) DDF1 (herein, VcDDF1-OX).

Results

The VcDDF1-OX resulted in enhanced freezing tolerance in tetraploid blueberry plants and did not result in significant changes in plant size, chilling requirement, and flowering time. Comparative transcriptome analysis of transgenic ‘Legacy-VcDDF1-OX’ plants containing an overexpressed VcDDF1 with non-transgenic highbush blueberry ‘Legacy’ plants revealed the VcDDF1-OX derived differentially expressed (DE) genes and transcripts in the pathways of cold-response, plant flowering, DELLA proteins, and plant phytohormones. The increase in freezing tolerance was associated to the expression of cold-regulated genes (CORs) and the ethylene pathway genes. The unchanged plant size, dormancy and flowering were due to the minimal effect of the VcDDF1-OX on the expression of DELLA proteins, flowering pathway genes, and the other phytohormone genes related to plant growth and development. The DE genes in auxin and cytokinin pathways suggest that the VcDDF1-OX has also altered plant tolerance to drought and high salinity.

Conclusion

A DDF1 orthologue in blueberry functioned differently from the DDF1 reported in Arabidopsis. The overexpression of VcDDF1 or its orthologues is a new approach to increase freezing tolerance of deciduous woody plant species with no obvious effect on plant size and plant flowering time.

Keywords

Abiotic stress Cold hardness C-repeat-binding factor DDF1 Dehydration responsive element-binding factor Freezing tolerance Vaccinium corymbosum Woody plant

Background

The APETALA2/ethylene response (AP2/ERF) transcription factors play a significant role in plant responses to several abiotic stresses (e.g., cold, dehydration, and high salinity) [1]. Accordingly, there have been many recent studies on genome-wide analysis of the AP2/ERF in several plant species, including black cottonwood (Populus trichocarpa) [2], Brassica oleracea [3], carrot (Daucus carota L.) [4], Chinese cabbage (Brassica rapa ssp. pekinensis) [5], Eucalyptus grandis [6], Lotus corniculatus [7], Medicago truncatula [8], moso bamboo (Phyllostachys edulis) [9], Musa species [10], peach (Prunus persica) [11], physic nut (Jatropha curcas L.) [12], Salix arbutifolia [13], sweet orange (Citrus sinensis) [14], and tea (Camellia sinensis) [15]. The CBF/DREB1 (C-repeat-binding factor/dehydration responsive element-binding factor 1) genes belong to a large family of AP2/ERF transcription factors and have a conserved DNA binding domain that recognizes the dehydration-responsive element/C-repeat (DRE/CRT) cis-acting element in the promoters of their target genes [1, 16, 17]. Studies suggest that all plant species undergo cold acclimation through a similar process that belongs, at least partially, to the CBF/DREB1-mediated cold-response pathway [1, 1821]. This CBF/DREB1 pathway has been documented in Arabidopsis thaliana [16, 2224]. Additionally, DREB2 transcription factors function in both drought- and heat-stress responses [2527]. As global warming poses abiotic stresses (e.g., temperature changes and drought) to numerous plant species and threatens the world’s sustainable food production for a growing population, numerous studies have been done to evaluate the potential use of AP2/ERF transcription factors to enhance plant tolerance to abiotic stresses [28].

The usefulness of the CBF/DREB1 pathway genes to enhance freezing tolerance has been demonstrated in both herbaceous and woody plant species [16, 2931]. However, modulating expression of the CBF/DREB1 pathway genes for enhancing tolerance to abiotic stress is often associated with undesirable changes in plant growth and development [3235]. For example, the constitutive expression of a peach (Prunus persica) CBF1 gene (PpCBF1) in apple rootstock resulted in both improved freezing tolerance and altered plant growth and dormancy [36]. In another study, transgenic grape vines over-expressing a grape (Vitis vinifera) CBF (VvCBF4) showed a slight increase in freezing tolerance in non-cold-acclimated vines and dwarf phenotypes [35]. Similar response for CBF overexpression has been reported in A. thaliana and other species [3235]. Ectopic expression of a CBF1 orthologue from European bilberry (Vaccinium myrtillus) enhanced freezing tolerance of A. thaliana plants and reduced rosette diameter [37]. Collectively, beyond freezing tolerance, the over-expression of CBFs is often associated with reduced plant growth (CBF1, CBF3, and CBF4) and altered developmental processes such as flowering time, leaf senescence, and plant longevity (CBF2 and CBF3) [24, 32, 33, 35, 3841]. The occurrence of these additional phenotypic changes is due to the complexity of the CBFs-mediated low-temperature regulatory networks and these changes are sometimes considered desirable for crop/fruit production [35, 40, 42, 43]. Of the major CBF/DREB1 transcription factors, the DRE1E_ARATH [designated as DWARF AND DELAYED FLOWERING 1 (DDF1)] and DRE1F_ARATH (designated as DDF2) have not been studied in crops [4448]. Arabidopsis thaliana plants overexpressing the DDF1 showed dark-green leaves, dwarfism, and late flowering; concurrently, the plants displayed enhanced tolerance to cold, drought, heat and high salinity [45, 46, 48].

Overexpression of CBF2 in A. thaliana is mainly associated with delayed leaf senescence and extended plant longevity; additionally, overexpression of Muscadinia rotundifolia CBF2 gene in Muscadinia rotundifolia resulted in growth retardation, dwarfism, late flowering, and abiotic stress tolerance [40, 49]. In this study, we showed a blueberry-derived CBF (BB-CBF), which was initially considered to be an orthologue of CBF2 that promoted freezing tolerance in A. thaliana [50], was more similar to A. thaliana DDF1. Overexpression of the BB-CBF (herein renamed as VcDDF1) enhanced cold tolerance in leaves and dormant buds but not in flower tissues of a southern highbush blueberry cultivar [51]. Regardless of whether BB-CBF is a DDF1 or CBF2 orthologue, further studies are needed to facilitate a better understanding of the CBF/DREB1-mediate gene networks in blueberry. Unlike A. thaliana, few studies have been conducted to investigate the overall impact of the overexpression of a CBF/DREB1 pathway gene on transcriptomic changes in woody plant species.

Comparative transcriptome analysis is a powerful tool used to identify differential gene expression caused by overexpression of a transgene [52]. For example, overexpression of blueberry FLOWERING LOCUS T (VcFT) in blueberry plants resulted in plant dwarfing and early flowering [53]. Transcriptome analysis of these transgenic plants revealed differentially expressed (DE) genes in flowering and phytohormone pathway genes that are involved in the phenotypic changes driven by VcFT-overexpression [54, 55]. The aim of this study is to elucidate transcriptomic responses to the overexpression of VcDDF1 (herein, VcDDF1-OX) and predict overall performance of VcDDF1-OX transgenic blueberry plants. The analysis of DE genes focused on the pathways related to plant growth, flowering or freezing tolerance in blueberry such as plant flowering, CBF-mediated cold/freezing tolerance, phytohormones and DELLA proteins [51, 54, 55].

Results

VcDDF1 and VcDDF1-OX in blueberry

The VcDDF1 was initially designated as BB-CBF (GenBank: FJ222601.1) due to its similarity to A. thaliana CBF2, and this reasoning is valid when DDF1 is not included in phylogenetic analysis [50]. However, in our recent transcriptome analysis of highbush blueberry using Trinity and Trinotate [56], the BB-CBF was annotated as DRE1E_ARATH (DDF1). Our designation of BB-CBF as VcDDF1 is the result of the phylogenetic analysis of A. thaliana CBF/DREB1 (i.e., CBF1, CBF2, CBF3, DDF1, and DDF2) and the blueberry-derived DRE1E_ARATH, DRE1A_ARATH, DRE1B_ARATH, and DRE1F_ORYSJ, which showed that BB-CBF is 52.5% similar to DDF1 compared 45.9% to CBF2 (Fig. 1a). The CBF2 orthologues in blueberry were then assigned to the other two gene contigs (c88132_g2 and c85919_g2 in Fig. 1a). It is interesting to note that VcDDF1 orthologues in many other woody plants are often annotated as DREB1 due to the conserved ERF/AP2 DNA-binding domains (Fig. 1b).
Fig. 1

Phylogenetic analysis of CBF/DREB1 proteins of blueberry and multiple protein sequence alignment of DDF1 and VcDDF1 orthologues. a Phylogenetic analysis of nucleotide sequences of CBF/DREB1 proteins of blueberry and A. thaliana using Neighbor Joining in MEGA 6.06. The bootstrap values were obtained from 500 replicates. The tree was drawn to scale, with branch length equal to substitutions per nucleotide. The black square shows the transgene VcDDF1 and c62996-g1-i1 is another endogenous VcDDF1. b Multiple sequence alignment of DDF1, VcDDF1 and protein sequences of VcDDF1 orthologues from six plant species using Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/). The ethylene-responsive element binding factor/APETELA2 (ERF/AP2) DNA-binding domain is underlined and the [ETRH and DS(A/V)WR] signatures are indicated by *. AEQ49674.1: DREB1 (Vaccinium myrtillus). ACJ54953.1: DREB1 (Vaccinium vitis-idaea). AHL69786.1: DREB (Camellia sinensis). AJG39854.1: CBF (Actinidia chinensis). XP_015901870.1: DREB1A (Ziziphus jujube). CBI34750.3: unnamed protein product (Vitis vinifera)

To investigate the effect of VcDDF1-OX at transcript levels in non-acclimated floral buds, comparative transcriptome analysis was conducted in non-transgenic ‘Legacy’ plants and plants of a representative transgenic event ‘Legacy-VcDDF1-OX’ with a single copy of transgenes (named as II7 in our previous report [51]). The ‘Legacy-VcDDF1-OX’ showed a 145-fold increase in the expression of the VcDDF1 in comparison to the non-transgenic ‘Legacy’ plants. The high VcDDF1 expression supported our previous observation that the ‘Legacy-VcDDF1-OX’ transgenic event showed high freezing tolerance in electrolyte leakage assays [51].

Effect of the VcDDF1-OX on plant freezing tolerance

Constitutive expression of VcDDF1 resulted in increased freezing tolerance in detached tissues of A. thaliana and blueberry plants [50, 51]. In this study, the VcDDF1-OX enhanced freezing tolerance in intact plants. The freezing tolerance in (45) four-year plants, one of non-transgenic ‘Legacy’, two of ‘Legacy- pCAMBIA’ events, and 41 of ‘Legacy-VcDDF1’ transgenic events, was investigated. The ‘Legacy-VcDDF1’ transgenic plants showed a significantly higher survival rate (p = 0.000126) than those of the non-transgenic ‘Legacy’ and transgenic ‘Legacy-pCAMBIA’ controls (Fig. 2a).
Fig. 2

Freezing tolerance in transgenic blueberry plants overexpressing a VcDDF1. a The survival rates of 3-year old blueberry plants of non-transgenic ‘Legacy’ (n = 10), transgenic ‘Legacy-pCAMBIA’ containing a control plasmid pCAMBIA2301 (n = 6), and 41 transgenic ‘Legacy-VcDDF1’ events (4–5 plants per event) after the exposure to unprotected environmental conditions in the winters of 2013 and 2014. The representative transgenic event ‘Legacy-VcDDF1-OX’ is included in the 41 events. b Under unprotected environmental conditions, one 4-year old ‘Legacy’ plant died and one ‘Legacy-VcDDF1-OX’ plant survived

In the winter of 2015, we also investigated the freezing tolerance of 12 three-year plants for both the non-transgenic ‘Legacy’ and the ‘Legacy-VcDDF1-OX’ transgenic event. The ‘Legacy-VcDDF1-OX’ transgenic plants exhibited a higher plant survival rate (83.3%) than the non-transgenic plants (41.7%) (Fig. 2b). Applying a freezing shock of −12 °C for 15 min resulted in visual differences between transgenic ‘Legacy-VcDDF1-OX’ and non-transgenic ‘Legacy’ plants during the plant recovery process. For non-transgenic plant, all leaves and over 90% of the buds showed dying symptoms and died in three weeks. In contrast, for transgenic plants, about 70% of the leaves had no survival leaf tissues, in three weeks; additionally, about 25% buds died. Overall, VcDDF1-OX enhanced freezing tolerance of the intact ‘Legacy-VcDDF1-OX’ plants (named as II7 in our previous report).

Effect of the VcDDF1-OX on plant growth and flowering

The VcDDF1-OX did not alter the growth of transgenic blueberry plants. When four-year transgenic plants of 11 independent ‘Legacy-VcDDF1’ events, including the representative transgenic event ‘Legacy-VcDDF1-OX’, were compared with those of non-transgenic ‘Legacy’ and transgenic control ‘Legacy-pCAMBIA’ plants, all plants looked similar in plant stature and appearance (Fig. 3a) and did not show any difference (P < 0.05) in plant height, the number of canes, or the number of flower buds (Fig. 3b, c). These results suggest that VcDDF1-OX has little phenotypic effect on blueberry plant growth and floral bud formation. Therefore, VcDDF1 do not share the designated role of DDF1 in inducing growth retardation and dwarfism.
Fig. 3

Effect of overexpression of VcDDF1 on blueberry plant growth and development. a Growth of 4-year old plants of ‘Legacy’ and ‘Legacy-VcDDF1-OX’ (herein VcDDF1-OX: a representative transgenic ‘Legacy-VcDDF1’ used for freezing tolerance assay [51] and RNA-seq analysis). b Average plant height and number of canes of 4-year old plants. Legacy: non-transgenic southern highbush cultivar ‘Legacy’, three plants. VcDDF1: transgenic ‘Legacy’ containing the VcDDF1, three plants for each of the 11 independent transgenic events. VcDDF1-OX: one representative transgenic Legacy-VcDDF1 event, three plants. c Average number of floral bud for 1- to 3-year old plants including 12 plants for each of ‘Legacy’ and ‘VcDDF1-OX’. d Flowering of four-year old plants (five plants for each treatment) after receiving different amount of chilling. CU: chilling unit

In relation to both non-transgenic ‘Legacy’ plants and transgenic control ‘Legacy-pCAMBIA’, delayed flowering was not found in any ‘Legacy-VcDDF1’ plants. For example, ‘Legacy-VcDDF1-OX’ and non-transgenic ‘Legacy’ plants did not show significant differences in the number of floral buds, the age of plant flowering, and the yearly flowering time. Moreover, VcDDF1-OX did not affect the chilling requirement of ‘Legacy-VcDDF1-OX’ plants (Fig. 3d). Taken together, VcDDF1-OX is not associated with significant changes in plant growth and flowering of tetraploid blueberry plants unlike overexpression of DDF1 in A. thaliana [45, 46].

Profile of differentially expressed (DE) genes induced by the VcDDF1-OX

To reveal the potential roles of the VcDDF1 at gene transcription levels, comparative transcriptome analysis was conducted between the ‘Legacy-VcDDF1-OX’ and non-transgenic ‘Legacy’ plants. The VcDDF1-OX in non-acclimated floral buds of the ‘Legacy-VcDDF1-OX’ plants resulted in 2463 DE genes and 3644 DE transcripts, of which 1668 DE genes were annotated. These DE genes were classified in 54 over-represented Gene Ontology (GO) terms (P < 0.05) in the analysis using the GOSlim_Plant as the selected GO file and A. thaliana annotation as a reference (Fig. 4). Of the 27 over-represented GO terms in biological_process, two highly over-represented GO terms (i.e., GO:0006950-response to stress and GO:0009628-response to abiotic stimulus) revealed the potential function of the VcDDF1-OX in affecting plant freezing tolerance as well as other abiotic stresses. Additionally, two other highly over-represented GO terms (i.e., GO:0007275-multicellular organismal development and GO:0009791-post-embryonic development) suggested that VcDDF1-OX could affect plant growth and flower development (Fig. 4a). The VcDDF1-OX functions at cellular levels (GO:0005263: cell) and intracellular (GO:0005622: intracellular) levels through its catalytic activity (GO:0003824), DNA binding (GO:0003677), transcription factor activity (GO:0003700), and transcription regulator activity (GO:0030528) (Fig. 4b, c). Overall, the results suggest that VcDDF1 is a functional DREB1 transcription factor and the VcDDF1-OX has an impact on gene expression of multiple pathways in blueberry.
Fig. 4

Gene networks of differentially expressed genes in dormant bud tissues of ‘Legacy-DDF1-OX’ plants. The ontology file of GOSlim_Plants in BiNGO was used to identify overrepresented GO terms (P < 0.05). Bubble size and color indicates the frequency of GO term and P-value, respectively. Red arrows show examples of GO terms related to abiotic resistance, plant growth, and flowering (a), the major effect of VcDDF1-OX in molecular function (b), and cellular component (c)

The responses of blueberry COR genes to the VcDDF1-OX

We used 2445 A. thaliana COR genes to search for blueberry COR (VcCOR) genes in our blueberry transcriptome reference Reftrinity (GenBank accession number: SRX2728597), which is developed using the RNA sequencing data of leaf, flower, and dormant bud tissues [54]. A total of 24,594 transcripts of 14,231 VcCOR genes showed similarities (e < −20) to 2181 A. thaliana COR genes. And 17 transcript contigs of 11 VcCOR genes are the ortholouges of A. thaliana CBF1/DREB1B, CBF2/DREB1C, CBF3/DREB1A, CBF4/DREB1D, or DDF1 (Fig. 1a).

In the dormant buds of ‘Legacy-VcDDF1-OX’ plants, 11,162 DE transcripts of 725 VcCOR genes showed high similarities (e < −20) to 1085 COR genes of A. thaliana (Additional file 1: Table S1). Of these DE VcCOR genes, the up-regulated VcDDF1 and down-regulated VcCBF2 are the DE CBF/DREB1 genes of blueberry. These results suggest VcDDF1-OX regulated some VcCOR genes, which contributed to increase freezing tolerance in intact plants of the ‘Legacy-VcDDF1-OX’ (Fig. 2).

The responses of blueberry floral genes to the VcDDF1-OX

Whereas overexpression of DDF1 resulted in delaying A. thaliana plant flowering [45, 46], VcDDF1-OX did not result in visible changes in flowering of tetraploid blueberry plants (Fig. 3c, d). To investigate the potential impact of VcDDF1-OX on blueberry flowering, we searched for DE floral genes in the dormant buds of ‘Legacy-VcDDF1-OX’ using the floral gene list of blueberry [54]. Twenty-one floral genes derived from 44 transcripts of 32 gene contigs showed differential expression, of which seven floral genes were up-regulated and 14 were down-regulated (Table 1). This suggests VcDDF1-OX affects flowering pathway genes. However, none of the 21 DE floral genes showed changes above four folds. The expression of blueberry SUPPRESSOR of OVEREXPRESSION OF CONSTANS 1 (VcSOC1) was reduced to 67.6% and the expression of blueberry CONSTANS-LIKE 5 (COL5)-like gene was repressed to 70.5% as much as non-transgenic ‘Legacy’ plants. This down-regulated expression of VcSOC1 and VcCOL5 is theoretically associated with delayed flowering [57]. However, the blueberry SHORT VEGETATIVE PHASE (SVP)(VcSVP) showed a decreased expression, which in contrast theoretically promotes plant flowering. In spite of these DE floral genes, the VcDDF1-OX was insufficient to promote significant changes in floral bud formation, chilling requirement and flowering time of the ‘Legacy-VcDDF1-OX’ plants (Fig. 3c, d).
Table 1

DE floral genes in dormant bud tissues of ‘Legacy-VcDDF1-OX’ plants

Subject id

Floral gene

logFC

logCPM

P Value

FDR

c89508_g1_i1

ABF2

1.057

2.427

6.59E-07

0.000

c89508_g3_i4

ABF2

1.085

1.227

0.000

0.036

c89508_g1_i2

ABF3

0.891

2.990

9.35E-06

0.002

c86010_g1_i1

AGL19

−0.497

5.315

4.25E-05

0.006

c86010_g1_i2

AGL19

−0.605

4.495

0.000

0.017

c94107_g4_i5

AGL19

−0.995

1.153

0.001

0.047

c72632_g1_i1

AGL32

0.423

7.608

0.000

0.011

c97450_g4_i2

AP2

−0.593

3.993

9.23E-06

0.002

c97450_g4_i5

AP2

−0.706

2.875

0.001

0.041

c89508_g3_i3

AREB3

0.997

1.566

0.000

0.029

c99151_g2_i1

ARP6

−0.521

4.522

1.85E-05

0.003

c85121_g1_i1

ATCOL5

−0.503

5.503

6.02E-05

0.007

c91872_g2_i3

CIB1

−1.396

1.728

8.71E-08

0.000

c92899_g1_i1

CIB1

−0.592

3.203

0.000

0.016

c92899_g1_i2

CIB1

−0.659

2.907

6.03E-05

0.007

c94404_g2_i1

CIB1

−0.525

4.963

6.91E-06

0.001

c94438_g3_i2

CIB1

−0.258

8.194

4.55E-05

0.006

c80828_g1_i1

CKA3

−0.328

5.530

0.000

0.036

c84766_g4_i1

CKA3

−0.389

4.999

0.000

0.024

c88116_g1_i1

FUL

−0.402

4.725

0.000

0.036

c91613_g4_i2

GRF2

−0.321

6.129

0.001

0.037

c95520_g1_i1

OsELF3

−0.639

2.604

0.001

0.054

c95679_g4_i2

OsELF3

−0.665

3.706

2.05E-06

0.000

c96650_g1_i1z

OsELF3

0.610

3.533

0.000

0.027

c96822_g1_i1

OsELF3

−0.365

6.469

0.000

0.033

c96828_g2_i2

OsELF3

1.577

0.756

1.44E-05

0.002

c85043_g5_i1

OsGF14e

1.070

1.501

7.14E-05

0.008

c76027_g1_i1

PAF1

−0.496

7.167

7.35E-05

0.009

c91063_g2_i1

PRR9

1.141

1.828

6.87E-06

0.001

c86010_g1_i3

SOC1

−0.566

4.979

2.65E-06

0.001

c79187_g1_i1

SPL

−0.328

6.358

0.000

0.011

c79187_g1_i2

SPL

−0.327

6.224

0.000

0.018

c80807_g1_i1

SPL

−0.478

6.461

4.00E-08

0.000

c80807_g1_i2

SPL

−0.592

5.620

2.05E-10

0.000

c80807_g1_i3

SPL

−0.513

6.397

7.63E-11

0.000

c81320_g1_i1 y

SPL

0.938

1.576

0.000

0.031

c93310_g3_i1

SPL

−0.459

6.681

2.82E-10

0.000

c93310_g3_i2

SPL

−0.430

5.768

1.07E-05

0.002

c88116_g2_i1

SVP

−0.527

4.975

6.67E-06

0.001

c91377_g1_i14

SVP

−1.427

0.741

1.70E-05

0.003

c98453_g2_i3

TOE1

−0.680

3.278

3.46E-06

0.001

c98453_g2_i4

TOE1

−0.727

2.911

3.54E-05

0.005

c98453_g2_i5

TOE1

−0.536

3.998

7.14E-06

0.001

c98453_g2_i7

TOE1

−0.455

3.776

0.001

0.052

c87192_g5_i5

ZmIDS1

−0.962

1.098

0.001

0.053

zalso annotated as PCL1_ARATH; y also annotated as SPL12_ARATH

LogFC: log2(fold change) = Log2(Legacy-VcDDF1-OX/Legacy). FDR: false discovery rate. LogCPM: Log2Count per million reads

The responses of major phytohormone genes to the VcDDF1-OX

The VcDDF1-OX did not lead to dwarf ‘Legacy-VcDDF1-OX’ plants (Fig. 3a, b), which is inconsistent with the designated function of DDF1 overexpression in causing dwarf A. thaliana plants [45, 46]. To evaluate the potential effect of the VcDDF1-OX on plant growth, we identified the DE pathway genes of five major phytohormones [i.e., ABA, GA, auxin (IAA), cytokinin, and ethylene] in dormant buds of ‘Legacy-VcDDF1-OX’ plants. Except for the ABA pathway, DE transcript contigs were found for all other pathways, including 11 for IAA, 23 for GA, five for cytokinin, and 49 for ethylene (Additional file 2: Table S2). The GA pathway has six and eight transcript contigs shared with those in the IAA and ethylene pathways, respectively, indicating the interaction of these pathway genes (Fig. 5a). In the ethylene pathway, 85 out of 86 DE transcripts showed a less than 4-fold change; and only one DE transcript contig of an orthologue of ETHYLENE-INSENSITIVE5 (EIN5) was up-regulated to approximately ten fold. These DE phytohormone genes did not alter plant growth of the ‘Legacy-VcDDF1-OX’ plants (Fig. 3a, b).
Fig. 5

Differentially expressed genes (in comparison to non-transgenic ‘Legacy’) in dormant bud tissues of ‘Legacy-DDF1-OX’ plants. a Major phytohormone gene contigs, i.e., gibberellin (GA), abscisic acid (ABA), ARR related genes of cytokinin, and indole acetic acid (IAA). b qRT-PCR analysis of representative transcripts. Eukaryotic translation initiation factor 3 subunit H is the internal control. Relative expression (fold-change) in Legacy-VcDDF1-OX was calculated by 2-∆∆Ct, ∆∆Ct = (CtGOI – Ctnom)Legacy-VcDDF1-OX – (CtGOI – Ctnom)Legacy. Average fold-changes ± standard error of three biological replicates for each of ‘Legacy-VcDDF1-OX’ and ‘Legacy’ plants were plotted. Significant average fold-change determined using a Student’s t-test is denoted. An asterisk (*) indicates p < 0.05; double asterisks (**) indicate p < 0.01; and triple asterisks (***) indicate p < 0.001

The responses of DELLA proteins to the VcDDF1-OX

We found 79 transcript contigs of 47 gene contigs in the blueberry transcriptome reference Reftrinity that show high similarities (e < −20) to the five DELLA protein genes of A. thaliana. Of the 79 transcript contigs, two DE transcript contigs of two genes are the RGL3 orthologues in the bud tissues of the ‘Legacy-VcDDF1-OX’ plants. One of them was repressed to 72.9% and another one was up-regulated to 143.8% (up-regulated by 43.8%). VcDDF1-OX poses little effect on the expression of DELLA protein genes in blueberry plants. This provides additional evidence to show the insignificant effect of VcDDF1-OX on blueberry plant growth and flowering (Fig. 3).

Confirmation of the expression of the selected DE transcripts

We designed six pairs of qRT-PCR primers, consisting of two pairs for GA and IAA pathways and one pair for each of cytokinin and ethylene pathways, to validate the DE transcripts of four phytohormone pathways. These selected DE transcripts (FDR < 0.05) often play important roles in their pathways. Of the six DE transcripts tested, qRT-PCR results and RNA-seq data of five transcripts correlated very well (Fig. 5b; Additional file 3: Table S3); only one DE transcript revealed by RNA-seq did not show significant difference (p < 0.05) in qRT-PCR analysis (transgenic ‘Legacy-VcDDF1-OX versus non-transgenic ‘Legacy’ samples) but it showed an increase in a regular RT-PCR analysis (Additional file 4: Fig. S1). These results suggest that our RNA-seq data analysis appears reliable for identification of DE genes.

Discussion

Plant freezing tolerance depends on many factors, such as natural environment, plant species/genotypes, plant developmental stages, acclimation state, organs, and tissues [58]. For woody fruit crops, global warming poses concerns for its impact on the phenology of plant dormancy and freezing tolerance. To address these concerns, a thorough understanding of the genetics and mechanisms of plant freezing tolerance and dormancy is needed. With highbush blueberries, freezing injuries in winter and early spring are major concerns.

The CBF/DREB1 orthologues in blueberry

In woody fruit crops, constitutive expression of CBF1 and CBF4 or their orthologues has resulted in similar phenotypic changes to those observed in A. thaliana, suggesting that CBF/DREB1 mediated-freezing tolerance is conserved in plants [35, 37, 59, 60]. In this study, our phylogenetic analysis of blueberry CBF/DREB1 proteins suggest the previous BB-CBF (an orthologue of CBF2) is more likely to be a DDF1 orthologue (VcDDF1) (Fig. 1). The orthologues of this VcDDF1 are in many deciduous woody plants but none of them was annotated as a CBF2 orthologue in GenBank (Fig. 1b). It is also interesting that we do not see CBF1 orthologues in our transcriptome reference. The low coverage of our transcriptome reference may have contributed to the lack of CBF1 orthologues but the lack of orthologues is probably due to the genome specificity of blueberry plants.

Regardless of distinction between CBF2 orthologue (BB-CBF) or DDF1 orthologue (VcDDF1), constitutive expression of this gene is anticipated for dwarfism and late flowering of transgenic plants if its designated function is conserved [45, 46, 49]. However, this is not the phenotypic change observed in transgenic Arabidopsis and blueberry plants, where the VcDDF1-OX enhanced plant freezing tolerance (Fig. 2; Fig. 3) [50, 51]. These results suggest the function of DREB1 orthologues in different plant species may vary from their functions designated in Arabidopsis (Fig. 6).
Fig. 6

Schematic diagram illustrating the effect of overexpressing a blueberry DDF1 orthologue on plant freezing tolerance. The diagram illustrating the effect of overexpression of CBF/DREB1 on freezing tolerance, plant growth and development in A. thaliana was derived from previous reports [40, 41, 46]. The overexpression of VcDDF1 showed little effect on DELLA protein genes but could affect plant tolerance to drought and high salinity through altered gene expression in auxin and cytokinin pathways

Effect of the VcDDF1-OX on plant flowering

In A. thaliana, the delayed flowering caused by overexpression of CBF1,2,3 was due to the increased expression of FLOWERING LOCUS C (FLC) and repressed expression of SOC1 [61]. In this study, VcDDF1-OX repressed the expression of VcSOC1, which is similar to the previous report [61]. However, none of the orthologues of FLC in blueberry, including the MADS-AFFECTING FLOWERING 2-like gene (VcMAF2), MADS-AFFECTING FLOWERING 5-like gene (VcMAF5), and VERNALIZATION1-like gene (VcVRN1), showed differential expression. In addition, the expression of VcSVP, an orthologue of A. thaliana SVP that acts as a negative regulator of A. thaliana plant flowering [62], was repressed. These differences between the response of the flowering pathway genes to the VcDDF1-OX in blueberry and those of the overexpression of CBF1,2,3 in A. thaliana are responsible for the unchanged flowering phenotype caused by VcDDF1-OX.

Effect of the VcDDF1-OX on DELLA protein genes

In A. thaliana the delayed flowering and growth retardation caused by the overexpression of CBF1,2,3 are due to the changes of DELLA proteins [39, 40]. The dwarf A. thaliana plants caused by overexpression of DDF1 was because of reducing bioactive gibberellin [46, 48]. In this study, VcDDF1-OX induced little change to the expression of DELLA protein genes, providing further molecular evidence to support that normal growth and flowering of ‘Legacy-VcDDF1-OX’ plants,

Effect of the VcDDF1-OX on phytohormone genes

In A. thaliana, the cold-response of CBF1, CBF2, and CBF3 is ABA independent while the response of CBF4 is ABA dependent [41]. Additionally, ethylene signaling can affect expression of CBFs [63, 64], and DELLA proteins responding to the overexpression of CBF/DREB1 genes are GA-related [46, 48]. It seems that CBF/DREB1 genes interact with phytohormone genes to affect plant growth and development. In this study, VcDDF1-OX in tetraploid blueberry plants affected gene expression of the synthesis pathways of IAA, cytokinin, GA, and ethylene but not ABA (Fig. 5a; Additional file 2: Table S2). The 49 DE transcript contigs of 36 gene contigs in the ethylene pathway could contribute to the increased freezing tolerance [63, 64]. The 23 DE transcript contigs of 16 gene in the GA pathway did not show any changes over 4-folds and may have affected the minor changes in the two DE genes of DELLA proteins. Eleven DE transcript contigs of nine genes are orthologues of two IAA pathway genes of A. thaliana, including CYP83B1 and AUXIN TRANSPORTER PROTEIN 1(AUX1) (c90563_g2_i1); both genes are key regulators of root growth and development [65, 66]. The orthologues of two cytokinin pathway genes A. thaliana B-TYPE RESPONSE REGULATOR18 (ARR18) and A. thaliana PSEUDO-RESPONSE REGULATOR 2 (APRR2) include five DE transcript contigs, the up-regulated ARR18 orthologue could promote root elongation [67]. The DE transcripts involved in auxin and cytokinin pathways have likely altered plant tolerance to drought or high salinity pending on further investigations [45, 46, 48]. The analysis of DE transcripts of phytohormone genes in addition to DELLA protein genes provide molecular evidence to support that VcDDF1-OX was not associated with dwarf and delayed flowering in tetraploid blueberry plants.

Effect of the VcDDF1-OX on freezing tolerance

In terms of its role in freezing tolerance, VcDDF1 has the same function as DDF1 and other CBF/DREB1 genes in A. thaliana [48]. Based on both our previous electrolyte leakage assay of in vitro tissues [51] and freezing tolerance assay of intact plants in this study, we have demonstrated that VcDDF1-OX is able to enhance freezing tolerance in blueberry plants. In addition, the comparison of VcCOR genes in ‘Legacy-VcDDF1-OX’ plants with non-transgenic ‘Legacy’ has provided molecular evidence to support the role of overexpressed VcDDF1 in enhanced freezing tolerance (Fig. 2). Of the DE orthologues of CBF/DREB1 genes, VcDDF1-OX down-regulated VcCBF2, which did not alter plant growth and flowering.

Conclusion

In tetraploid blueberry plants, VcDDF1-OX resulted in enhanced freezing tolerance and normal plant growth and flowering compared to non-transgenic plants. The increased freezing tolerance is attributed to DE VcCOR genes, which are similar to the DDF1 and the other CBF/DREB1 genes (Fig. 6). In contrast to dwarf plant and delayed flowering associated with overexpression of DDF1 or other CBF/DREB1 [45, 46, 48], normal phenotypes with regards to plant growth and flowering was due to minimal effect of overexpressed VcDDF1 on the expression of DELLA proteins, flowering pathway genes, and other phytohormone genes related to plant growth (Fig. 6). The DE genes in phytohormone pathways of auxin and cytokinin imply that VcDDF1-OX might enhance plant tolerance to drought and high salinity.

This is the first known investigation of a DDF1 orthologue in any crop. More importantly, this is the first time the overexpression of a CBF/DREB1 orthologue was found to enhance plant freezing tolerance without altering plant growth and flowering time. This finding opens a new approach to increase freezing tolerance of deciduous woody plants by using overexpression of VcDDF1 or its orthologues.

Method

Plant materials

A southern highbush blueberry cv. Legacy is tetraploid and needs over 800 chilling units (CU) for normal flowering. The ‘Legacy’ plants used in this study was original derived from the blueberry cultivar collections growing in a research field of the Horticulture Teaching and Research Center of Michigan State University. Transgenic ‘Legacy’ plants (herein ‘Legacy-VcDDF1’) contain a blueberry derived CBF gene (AVI45245.1), which was designated as BB-CBF [50, 51] and renamed as VcDDF1 in this report. The ‘Legacy-pCAMBIA’ is a transgenic control for the VcDDF1. ‘Legacy-VcDDF1-OX’ is a representative transgenic ‘Legacy-VcDDF1’ that was used for RNA sequencing. The ‘Legacy-VcDDF1-OX’ (named as II7) contains a single copy of transgenes and showed high freezing tolerance [51]. Production of the ‘Legacy-VcDDF1’ and Legacy-pCAMBIA’ containing the binary vector pCAMBIA2301 was described in our previous report [51].

All non-transgenic and transgenic plants were obtained through micropropagation of in vitro cultured shoots. Plant age was determined based on the time after the shoot was rooted in soil. Rooting of in vitro cultured shoots and plant growth in the greenhouse were performed according the protocols established by Song [68]. All plants were grown normally and were fully vernalized unless otherwise mentioned. For full vernalization in winter, plants were potted and grown in a non-heated hoop house or in a secured courtyard under natural light conditions at Michigan State University, East Lansing, Michigan (latitude 42.701847, longitude −84.482170). The average low and high temperatures in January are −10.6 °C and −1.8 °C, respectively (http://www.usclimatedata.com/climate/east-lansing/michigan/united-states/usmi0248).

Plant growth and flowering

Four-year old plants were planted in 4-gal pots in 2009 and were grown in a hoop house for winters and were not pruned. These plants included 22 non-transgenic ‘Legacy’, 12 plants of two ‘Legacy-pCAMBIA’ events (6 plants per transgenic event), and 263 plants of 41 ‘Legacy-VcDDF1’ events (5–8 plants/event). Thirty-nine selected plants, including three plants for each of the non-transgenic ‘Legacy’, 11 independent transgenic ‘Legacy-VcDDF1’ events, and one transgenic ‘Legacy-pCAMBIA’ event, were photographed and data was collected twice for plant height, the number of floral buds and the number of canes in October, 2012. The date of early-pink-bud of all plants, defined as the time that the first flower cluster appears, was recorded in the springs of 2009–2012. To test freezing tolerance of intact plants, 4-year old plants including, 10 non-transgenic ‘Legacy’ plants, six plants for each of the two ‘Legacy-pCAMBIA’ events, and 4–5 plants for each of the 41 ‘Legacy-VcDDF1’ events were moved from the greenhouse to a secured courtyard under natural environmental conditions in October of 2013. The number of the survived plants was collected in May of 2015. Freezing tolerance of whole plants were tested by exposing to −12 °C for 15 min in 2012 using actively growing 4-year old plants of one ‘Legacy-VcDDF1-OX’ and one non-transgenic ‘Legacy’. Both plants were then brought to the heated greenhouse with a temperature range of 23 °C - 30 °C under natural photoperiod for recovery. The recovery process was documented through weekly photographs for two months.

Chilling requirement of non-transgenic ‘Legacy’ and transgenic ‘Legacy-VcDDF1-OX’ plants was evaluated with five chilling treatment (i.e., 0, 133, 300, 500, and 850 CU) under controlled conditions in a hoop house in the Horticulture Teaching and Research Center at Michigan State University in the winter of 2012. For each treatment, three ‘Legacy’ and three ‘Legacy-VcDDF1-OX’ plants were used. These plants were three-year old and grown in one-gallon pots. The conversion of selected temperatures to chill units for highbush blueberry was based on the equation: total chill units = 0.5 × number of hours with temperatures below 2.4 °C and 9.2–12.4 °C + 1 × number of hours with temperatures 2.5–9.1 °C – 0.5 × number of hours with temperatures 16–18 °C -1 × number of hours with temperatures above 18 °C [69, 70]. After each chilling treatment, the plants were transferred to a heated greenhouse with a minimum temperature of 23 °C under natural photoperiod. For each plant, the number of floral buds was counted and the dates of early-pink-bud and petal fall stages were recorded. The number of the unopened floral buds was counted after eight weeks.

New non-transgenic ‘Legacy’ and transgenic ‘Legacy-VcDDF1-OX’ plants were developed through micropropagation in January of 2012 for further investigations. Twelve plants for each of the non-transgenic ‘Legacy’ and transgenic ‘Legacy-VcDDF1-OX’ were investigated from 2013 to 2016. These plants were grown in one-gallon pots in the courtyard. The number of floral buds was counted and the dates of the early-pink-bud and petal fall stages were recorded yearly. The number of fruit clusters was counted in July 2016.

RNA preparation, sequencing, and de novo transcriptome assembly

Floral buds were collected in November 2013 before the plants were exposed to a non-heated greenhouse for chilling treatments. All tissues collected were frozen immediately in liquid nitrogen and stored at −80 °C.

Total RNA isolation, RNA sequencing using the Illumina HiSeq2500 platform, de novo transcriptome assembly using the Trinity platform (trinity/20140413p1) [56] were described in our recent report [54].

Differential expression analysis and transcriptome annotation

RNA-seq reads of three biological replicates for each of ‘Legacy’ and ‘Legacy-VcDDF1-OX’ were analyzed. Two technical replicates were sequenced for each biological replicate and were combined together for analysis. The paired reads, two sets for each biological replicate, were aligned to the transcriptome reference developed for ‘Legacy’ [54] and the abundance of each read was estimated using the Trinity command “align_and_estimate_abundance.pl”. The Trinity command “run_DE_analysis.pl --method edgeR” was used for differential expression analysis. The differentially expressed (DE) (relative to non-transgenic ‘Legacy’ unless other mentioned) genes or transcripts with false discovery rate (FDR) values below 0.05 were used for further analyses. Transcriptome annotation was performed using Trinotate_v2.0 (https://trinotate.github.io).

Phylogenetic analysis of VcDDF1

Representative nucleotide sequences of CBF/DREB1 of five A. thaliana CBF/DREB1 genes were retrieved using The A. thaliana Information Resource (TAIR) server (https://www.arabidopsis.org/tools/bulk/index.jsp). Orthologues of A. thaliana CBF/DREB1 genes in blueberry were identified from our annotated transcripts. The selected transcripts were converted to amino acid sequences based on BLAST results retrieved using the NCBI server (http://blast.ncbi.nlm.nih.gov/Blast. cgi). Selected nucleotide sequences from both A. thaliana and blueberry were aligned using Clustal Omega multiple sequence alignment program at EBI with default parameters (http://www.ebi.ac.uk/Tools/msa/clustalo/). Phylogenetic trees were generated using MEGA 6.06 software [71].

The VcDDF1 protein sequence (AVI45245.1) was used to search for VcDDF1 orthologues using the NCBI server. The selected protein sequences were aligned using Clustal Omega multiple sequence alignment program at EBI with default parameters.

Gene network construction

Annotated transcripts were imported to Cytoscape 3.4.0 under BiNGO’s default parameters with selected ontology file ‘GOSlim_Plants’ and selected organism A. thaliana [72, 73].

Identification of the selected pathway genes

Representative protein sequences of selected genes of A. thaliana were download from the TAIR server (https://www.arabidopsis.org/tools/bulk/sequences/index.jsp). The retrieved sequences were used to search the transcriptome reference of blueberry (herein refTrinity) using the tblastn command of BLAST+. The resultant transcripts that show e-value lower than −20 were used to screen the DE transcript list of non-acclimated floral buds.

The 2637 cold-regulated genes (CORs) identified in wild-type A. thaliana plants and 172 CORs differentially expressed at a warm temperature (22 °C) in transgenic A. thaliana plants overexpressing CBF1, CBF2 or CBF3 were obtained from Park et al. [42]. These CORs were used to identify their orthologues in blueberry (VcCORs), which was used to analyze the effect of VcDDF1-OX on VcCORs. The blueberry floral genes identified in our previous study [54] were used to analyze flowering pathway genes affected by VcDDF1-OX.

The pathway genes of major phytohormones [i.e., gibberellin (GA) [74], abscisic acid (ABA) [75], cytokinin [76], indole acetic acid (IAA) [77], and ethylene [78]] in A. thaliana were retrieved from TAIR_10 server based on published gene identities (Additional file 5: Table S4). In addition, sequences of A. thaliana DELLA proteins were used to analyze the effect of VcDDF1-OX. Five A. thaliana DELLA proteins (Additional file 5: Table S4), including GIBBERELLIC ACID INSENSITIVE (GAI) (AT1G14920.1), REPRESSOR OF GA1 (RGA1) (AT2G01570.1), RGA-like 1 (RGL1) (AT1G66350.1), RGA-like 2 (RGL2) (AT3G03450.1), and RGA-like 3 (RGL3) (AT5G17490.1), were used to search for the DELLA protein genes in blueberry.

Quantitative RT-PCR (qRT-PCR) of DE transcripts

Reliability of DE genes/transcripts identified through RNA-seq was evaluated through qRT-PCR analysis of six selected transcripts (Additional file 3: Table S3). These transcripts are from the representative DE genes in auxin, ethylene, cytokinin, and GA pathyways. They have high fold changes (>2) and sequence specificity (based on alignment result of different isoforms) for PCR amplification. Eukaryotic translation initiation factor 3 subunit H was the internal control (Additional file 3: Table S3).

The RNA samples used for RNA-sequencing, including samples of three biological replicates for each of ‘Legacy’ and ‘Legacy-VcDDF1-OX’, were used for cDNA preparation. Reverse transcription of RNA to cDNA was performed using SuperScript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA). The resulting cDNA of one micro gram of RNA was diluted (volume 1: 4) in water and 1 μl/sample (25 ng) was used for PCR reactions.

The primers were designed using the online tool provided by Integrated DNA Technologies, Inc. (https://www.idtdna.com/Primerquest/Home/Index), where the primers were synthesized (Additional file 3: Table S3). qRT-PCR was performed in triplicate on an Agilent Technologies Stratagene Mx3005P (Agilent Technologies, Santa Clara, CA) using the SYBR Green system (Life Technologies, Carlsbad, CA). In each 25 μl reaction mixture, 25 ng cDNA, 200 nM primers and 12.5 μl of 2× SYBR Green master mix were included. The reaction conditions for all primer pairs were 95 °C for 10 min, 40 cycles of 30 s at 95 °C, 60 s at 60 °C and 60 s at 72 °C, followed by one cycle of 60 s at 95 °C, 30 s at 55 °C and 30 s at 95 °C. The specificity of the amplification reaction for each primer pair was determined by the melting curve. Transcript levels within samples were normalized to the eukaryotic translation initiation factor 3 subunit H. Fold changes were calculated using 2-∆∆Ct, where ∆∆Ct = (CtGOI – Ctnom)Legacy-VcDDF1-OX – (CtGOI – Ctnom)Legacy for each transgenic ‘Legacy-VcDDF1-OX’ versus a non-transgenic ‘Legacy’ sample (n = 3) [79]. In addition, regular RT-PCR was also used for selected transcripts. The reaction conditions using 50 ng cDNA per reaction for all primer pairs were 94 °C for 2 min, 35 cycles of 45 s at 94 °C, 60 s at 60 °C and 60 s at 72 °C, with a final 10 min extension at 72 °C. RT-PCR products were separated on 1.0% agarose gel containing ethidium bromide, visualized, and photographed under UV light.

Abbreviations

ABA: 

Abscisic acid

AP2/ERF: 

APETALA2/ethylene response (AP2/ERF) transcription factors

CBF/DREB1: 

C-repeat-binding factor/dehydration responsive element-binding factor 1

CORs: 

Cold-regulated genes

CPM: 

Count per million reads

DDF1: 

DWARF AND DELAYED FLOWERING 1

DE: 

Differentially expressed

FDR: 

False discovery rate

GA: 

Gibberellin

GO: 

Gene ontology

IAA: 

Indole acetic acid

OX: 

Overexpression

qRT-PCR: 

Quantitative reverse transcriptase polymerase chain reaction

Declarations

Acknowledgments

The authors would thank Dr. Jeff Landgraf and Mr. Kevin Carr at Michigan State University Research Technology Support Facility for RNA sequencing, Mr. Aaron Walworth for assistance of phenotypic data collection, and Ms. QiuXia Chen for editing the manuscript. This research is partially supported by AgBioResearch Project GREEEN of Michigan State University (http://www.canr.msu.edu/research/agbioresearch/).

Funding

This research was partially supported by AgBioResearch of Michigan State University (http://www.canr.msu.edu/research/agbioresearch/).

Availability of data and materials

Our blueberry transcriptome reference Reftrinity has been deposited in GenBank (Accession number: SRX2728597). Datasets from the current study are available from the corresponding author on reasonable request.

Authors’ contributions

GS conceived and supervised the study; XG and GS conducted the experiments; GS and XG analyzed the data; and GS wrote the manuscript. All authors read and approved the manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

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Authors’ Affiliations

(1)
Plant Biotechnology Resource and Outreach Center, Department of Horticulture, Michigan State University
(2)
Key Laboratory for the Conservation and Utilization of Important Biological Resources, College of Life Sciences, Anhui Normal University

References

  1. Mizoi J, Shinozaki K, Yamaguchi-Shinozaki K. AP2/ERF family transcription factors in plant abiotic stress responses. Biochim Biophys Acta. 2012;1819(2):86–96.View ArticlePubMedGoogle Scholar
  2. Zhuang J, Cai B, Peng RH, Zhu B, Jin XF, Xue Y, et al. Genome-wide analysis of the AP2/ERF gene family in Populus trichocarpa. Biochem Biophys Res Commun. 2008;371(3):468–74.View ArticlePubMedGoogle Scholar
  3. Thamilarasan SK, Park JI, Jung HJ, Nou IS. Genome-wide analysis of the distribution of AP2/ERF transcription factors reveals duplication and CBFs genes elucidate their potential function in Brassica oleracea. BMC Genomics. 2014;15:422.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Li MY, Xu ZS, Huang Y, Tian C, Wang F, Xiong AS. Genome-wide analysis of AP2/ERF transcription factors in carrot (Daucus carota L.) reveals evolution and expression profiles under abiotic stress. Mol Gen Genomics. 2015;290(6):2049–61.View ArticleGoogle Scholar
  5. Song X, Li Y, Hou X: Genome-wide analysis of the AP2/ERF transcription factor superfamily in Chinese cabbage (Brassica rapa ssp. pekinensis). BMC Genomics 2013, 14:573.Google Scholar
  6. Cao PB, Azar S, SanClemente H, Mounet F, Dunand C, Marque G, et al. Genome-wide analysis of the AP2/ERF family in Eucalyptus grandis: an intriguing over-representation of stress-responsive DREB1/CBF genes. PLoS One. 2015;10(4):e0121041.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Sun ZM, Zhou ML, Xiao XG, Tang YX, Wu YM. Genome-wide analysis of AP2/ERF family genes from Lotus corniculatus shows LcERF054 enhances salt tolerance. Funct Integr Genomics. 2014;14(3):453–66.View ArticlePubMedGoogle Scholar
  8. Shu Y, Liu Y, Zhang J, Song L, Guo C. Genome-wide analysis of the AP2/ERF superfamily genes and their responses to abiotic stress in Medicago truncatula. Front Plant Sci. 2015;6:1247.PubMedGoogle Scholar
  9. Wu H, Lv H, Li L, Liu J, Mu S, Li X, et al. Genome-wide analysis of the AP2/ERF transcription factors family and the expression patterns of DREB genes in Moso bamboo (Phyllostachys edulis). PLoS One. 2015;10(5):e0126657.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Lakhwani D, Pandey A, Dhar YV, Bag SK, Trivedi PK, Asif MH. Genome-wide analysis of the AP2/ERF family in Musa species reveals divergence and neofunctionalisation during evolution. Sci Rep. 2016;6:18878.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Zhang CH, Shangguan LF, Ma RJ, Sun X, Tao R, Guo L, et al. Genome-wide analysis of the AP2/ERF superfamily in peach (Prunus persica). Genet Mol Res. 2012;11(4):4789–809.PubMedGoogle Scholar
  12. Tang Y, Qin S, Guo Y, Chen Y, Wu P, Chen Y, et al. Genome-wide analysis of the AP2/ERF Gene family in physic nut and overexpression of the JcERF011 Gene in Rice increased its sensitivity to salinity stress. PLoS One. 2016;11(3):e0150879.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Rao G, Sui J, Zeng Y, He C, Zhang J. Genome-wide analysis of the AP2/ERF gene family in Salix arbutifolia. FEBS Open Bio. 2015;5:132–7.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Ito TM, Polido PB, Rampim MC, Kaschuk G, Souza SG. Genome-wide identification and phylogenetic analysis of the AP2/ERF gene superfamily in sweet orange (Citrus sinensis). Genet Mol Res. 2014;13(3):7839–51.View ArticlePubMedGoogle Scholar
  15. Wu ZJ, Li XH, Liu ZW, Li H, Wang YX, Zhuang J. Transcriptome-based discovery of AP2/ERF transcription factors related to temperature stress in tea plant (Camellia sinensis). Funct Integr Genomic. 2015;15(6):741–52.View ArticleGoogle Scholar
  16. Liu Q, Kasuga M, Sakuma Y, Abe H, Miura S, Yamaguchi-Shinozaki K, et al. Two transcription factors, DREB1 and DREB2, with an EREBP/AP2 DNA binding domain separate two cellular signal transduction pathways in drought- and low-temperature-responsive gene expression, respectively, in Arabidopsis. Plant Cell. 1998;10(8):1391–406.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Qin F, Shinozaki K, Yamaguchi-Shinozaki K. Achievements and challenges in understanding plant abiotic stress responses and tolerance. Plant Cell Physiol. 2011;52(9):1569–82.View ArticlePubMedGoogle Scholar
  18. Thomashow MF, Gilmour SJ, Stockinger EJ, Jaglo-Ottosen KR, Zarka DG. Role of the Arabidopsis CBF transcriptional activators in cold acclimation. Physiol Plantarum. 2001;112(2):171–5.View ArticleGoogle Scholar
  19. Miller AK, Galiba G, Dubcovsky J. A cluster of 11 CBF transcription factors is located at the frost tolerance locus Fr-a(m)2 in Triticum monococcum. Mol Gen Genomics. 2006;275(2):193–203.View ArticleGoogle Scholar
  20. Navarro M, Ayax C, Martinez Y, Laur J, El Kayal W, Marque C, et al. Two EguCBF1 genes overexpressed in Eucalyptus display a different impact on stress tolerance and plant development. Plant Biotechnol J. 2011;9(1):50–63.View ArticlePubMedGoogle Scholar
  21. Carvallo MA, Pino MT, Jeknic Z, Zou C, Doherty CJ, Shiu SH, et al. A comparison of the low temperature transcriptomes and CBF regulons of three plant species that differ in freezing tolerance: Solanum commersonii, Solanum tuberosum, and Arabidopsis thaliana. J Exp Bot. 2011;62(11):3807–19.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Gilmour SJ, Zarka DG, Stockinger EJ, Salazar MP, Houghton JM, Thomashow MF. Low temperature regulation of the Arabidopsis CBF family of AP2 transcriptional activators as an early step in cold-induced COR gene expression. Plant J. 1998;16(4):433–42.View ArticlePubMedGoogle Scholar
  23. Stockinger EJ, Gilmour SJ, Thomashow MF. Arabidopsis thaliana CBF1 encodes an AP2 domain-containing transcriptional activator that binds to the C-repeat/DRE, a cis-acting DNA regulatory element that stimulates transcription in response to low temperature and water deficit. Proc Natl Acad Sci U S A. 1997;94(3):1035–40.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Jaglo-Ottosen KR, Gilmour SJ, Zarka DG, Schabenberger O, Thomashow MF. Arabidopsis CBF1 overexpression induces COR genes and enhances freezing tolerance. Science. 1998;280(5360):104–6.View ArticlePubMedGoogle Scholar
  25. Mizoi J, Shinozaki K, Yamaguchi-Shinozaki K. AP2/ERF family transcription factors in plant abiotic stress responses. Bba-Gene Regul Mech. 2012;1819(2):86–96.Google Scholar
  26. Sun J, Peng X, Fan W, Tang M, Liu J, Shen S. Functional analysis of BpDREB2 gene involved in salt and drought response from a woody plant Broussonetia papyrifera. Gene. 2014;535(2):140–9.View ArticlePubMedGoogle Scholar
  27. Chinnusamy V, Zhu J, Zhu JK. Cold stress regulation of gene expression in plants. Trends Plant Sci. 2007;12(10):444–51.View ArticlePubMedGoogle Scholar
  28. Berdeja M, Nicolas P, Kappel C, Dai ZW, Hilbert G, Peccoux A, et al. Water limitation and rootstock genotype interact to alter grape berry metabolism through transcriptome reprogramming. Hortic Res-England. 2015;2Google Scholar
  29. Cao X, Liu Q, Rowland LJ, Hammerschlag FA. GUS expression in blueberry (Vaccinium spp.): factors influencing agrobacterium-mediated gene transfer efficiency. Plant Cell Rep. 1998;18(3–4):266–70.View ArticleGoogle Scholar
  30. Thomashow MF. Molecular basis of plant cold acclimation: insights gained from studying the CBF cold response pathway. Plant Physiol. 2010;154(2):571–7.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Artlip TS, Wisniewski ME, Arora R, Norelli JL. An apple rootstock overexpressing a peach CBF gene alters growth and flowering in the scion but does not impact cold hardiness or dormancy. Hortic Res-England. 2016;3Google Scholar
  32. Benedict C, Skinner JS, Meng R, Chang Y, Bhalerao R, Huner NP, et al. The CBF1-dependent low temperature signalling pathway, regulon and increase in freeze tolerance are conserved in Populus spp. Plant Cell Environ. 2006;29(7):1259–72.View ArticlePubMedGoogle Scholar
  33. Kasuga M, Liu Q, Miura S, Yamaguchi-Shinozaki K, Shinozaki K. Improving plant drought, salt, and freezing tolerance by gene transfer of a single stress-inducible transcription factor. Nat Biotechnol. 1999;17(3):287–91.View ArticlePubMedGoogle Scholar
  34. Walworth AE, Song GQ, Warner RM. Ectopic AtCBF3 expression improves freezing tolerance and promotes compact growth habit in petunia. Mol Breed. 2014;33(3):731–41.View ArticleGoogle Scholar
  35. Tillett RL, Wheatley MD, Tattersall EA, Schlauch KA, Cramer GR, Cushman JC. The Vitis vinifera C-repeat binding protein 4 (VvCBF4) transcriptional factor enhances freezing tolerance in wine grape. Plant Biotechnol J. 2012;10(1):105–24.View ArticlePubMedGoogle Scholar
  36. Wisniewski M, Norelli J, Bassett C, Artlip T, Macarisin D. Ectopic expression of a novel peach (Prunus persica) CBF transcription factor in apple (malus x domestica) results in short-day induced dormancy and increased cold hardiness. Planta. 2011;233(5):971–83.View ArticlePubMedGoogle Scholar
  37. Oakenfull RJ, Baxter R, Knight MR. A C-repeat binding factor transcriptional activator (CBF/DREB1) from European bilberry (Vaccinium myrtillus) induces freezing tolerance when expressed in Arabidopsis thaliana. PLoS One. 2013;8(1):e54119.View ArticlePubMedPubMed CentralGoogle Scholar
  38. Gilmour SJ, Sebolt AM, Salazar MP, Everard JD, Thomashow MF. Overexpression of the Arabidopsis CBF3 transcriptional activator mimics multiple biochemical changes associated with cold acclimation. Plant Physiol. 2000;124(4):1854–65.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Achard P, Gong F, Cheminant S, Alioua M, Hedden P, Genschik P. The cold-inducible CBF1 factor-dependent signaling pathway modulates the accumulation of the growth-repressing DELLA proteins via its effect on gibberellin metabolism. Plant Cell. 2008;20(8):2117–29.View ArticlePubMedPubMed CentralGoogle Scholar
  40. Sharabi-Schwager M, Lers A, Samach A, Guy CL, Porat R. Overexpression of the CBF2 transcriptional activator in Arabidopsis delays leaf senescence and extends plant longevity. J Exp Bot. 2010;61(1):261–73.View ArticlePubMedGoogle Scholar
  41. Haake V, Cook D, Riechmann JL, Pineda O, Thomashow MF, Zhang JZ. Transcription factor CBF4 is a regulator of drought adaptation in Arabidopsis. Plant Physiol. 2002;130(2):639–48.View ArticlePubMedPubMed CentralGoogle Scholar
  42. Park S, Lee CM, Doherty CJ, Gilmour SJ, Kim Y, Thomashow MF. Regulation of the Arabidopsis CBF regulon by a complex low-temperature regulatory network. Plant J. 2015;82(2):193–207.View ArticlePubMedGoogle Scholar
  43. Novillo F, Medina J, Rodriguez-Franco M, Neuhaus G, Salinas J. Genetic analysis reveals a complex regulatory network modulating CBF gene expression and Arabidopsis response to abiotic stress. J Exp Bot. 2011;63(1):293–304.View ArticlePubMedPubMed CentralGoogle Scholar
  44. Sakuma Y, Liu Q, Dubouzet JG, Abe H, Shinozaki K, Yamaguchi-Shinozaki K. DNA-binding specificity of the ERF/AP2 domain of Arabidopsis DREBs, transcription factors involved in dehydration- and cold-inducible gene expression. Biochem Biophys Res Commun. 2002;290(3):998–1009.View ArticlePubMedGoogle Scholar
  45. Magome H, Yamaguchi S, Hanada A, Kamiya Y. Oda K: dwarf and delayed-flowering 1, a novel Arabidopsis mutant deficient in gibberellin biosynthesis because of overexpression of a putative AP2 transcription factor. Plant J. 2004;37(5):720–9.View ArticlePubMedGoogle Scholar
  46. Magome H, Yamaguchi S, Hanada A, Kamiya Y, Oda K. The DDF1 transcriptional activator upregulates expression of a gibberellin-deactivating gene, GA2ox7, under high-salinity stress in Arabidopsis. Plant J. 2008;56(4):613–26.View ArticlePubMedGoogle Scholar
  47. Lehti-Shiu MD, Uygun S, Moghe GD, Panchy N, Fang L, Hufnagel DE, et al. Molecular evidence for functional divergence and decay of a transcription factor derived from whole-genome duplication in Arabidopsis thaliana. Plant Physiol. 2015;168(4):1717–34.View ArticlePubMedPubMed CentralGoogle Scholar
  48. Kang HG, Kim J, Kim B, Jeong H, Choi SH, Kim EK, et al. Overexpression of FTL1/DDF1, an AP2 transcription factor, enhances tolerance to cold, drought, and heat stresses in Arabidopsis thaliana. Plant Sci. 2011;180(4):634–41.View ArticlePubMedGoogle Scholar
  49. Wu J, Folta KM, Xie Y, Jiang W, Lu J, Zhang Y. Overexpression of Muscadinia rotundifolia CBF2 gene enhances biotic and abiotic stress tolerance in Arabidopsis. Protoplasma. 2016;Google Scholar
  50. Polashock JJ, Arora R, Peng Y, Naik D, Rowland LJ. Functional identification of a C-repeat binding factor transcriptional activator from blueberry associated with cold acclimation and freezing tolerance. J Am Soc Hortic Sci. 2010;135(1):40–8.Google Scholar
  51. Walworth AE, Rowland LJ, Polashock JJ, Hancock JF, Song GQ. Overexpression of a blueberry-derived CBF gene enhances cold tolerance in a southern highbush blueberry cultivar. Mol Breed. 2012;30(3):1313–23.View ArticleGoogle Scholar
  52. Du DL, Rawat N, Deng ZA, Gmitter FG. Construction of citrus gene coexpression networks from microarray data using random matrix theory. Hortic Res-England. 2015;2Google Scholar
  53. Song GQ, Walworth A, Zhao DY, Jiang N, Hancock JF. The Vaccinium corymbosum FLOWERING LOCUS T-like gene (VcFT): a flowering activator reverses photoperiodic and chilling requirements in blueberry. Plant Cell Rep. 2013;32(11):1759–69.View ArticlePubMedGoogle Scholar
  54. Walworth AE, Chai B, Song GQ. Transcript profile of flowering regulatory genes in VcFT-overexpressing blueberry plants. PLoS One. 2016;11(6):e0156993.View ArticlePubMedPubMed CentralGoogle Scholar
  55. Gao X, Walworth AE, Mackie C, Song GQ. Overexpression of blueberry FLOWERING LOCUS T is associated with changes in the expression of phytohormone-related genes in blueberry plants. Hortic Res. 2016;3:16053.View ArticlePubMedPubMed CentralGoogle Scholar
  56. Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the trinity platform for reference generation and analysis. Nat Protoc. 2013;8(8):1494–512.View ArticlePubMedGoogle Scholar
  57. Fornara F, de Montaigu A, Coupland G: SnapShot: Control of Flowering in Arabidopsis. Cell 2010, 141(3).Google Scholar
  58. Strimbeck GR, Schaberg PG, Fossdal CG, Schroder WP, Kjellsen TD. Extreme low temperature tolerance in woody plants. Front Plant Sci. 2015;6:884.View ArticlePubMedPubMed CentralGoogle Scholar
  59. Wisniewski M, Norelli J, Artlip T. Overexpression of a peach CBF gene in apple: a model for understanding the integration of growth, dormancy, and cold hardiness in woody plants. Front Plant Sci. 2015;6:85.View ArticlePubMedPubMed CentralGoogle Scholar
  60. Jin WM, Dong J, Hu YL, Lin ZP, Xu XF, Han ZH. Improved cold-resistant performance in transgenic grape (Vitis vinifera L.) overexpressing cold-inducible transcription factors AtDREB1b. Hortscience. 2009;44(1):35–9.Google Scholar
  61. Seo E, Lee H, Jeon J, Park H, Kim J, Noh YS, et al. Crosstalk between cold response and flowering in Arabidopsis is mediated through the flowering-time gene SOC1 and its upstream negative regulator FLC. Plant Cell. 2009;21(10):3185–97.View ArticlePubMedPubMed CentralGoogle Scholar
  62. Lee JH, Yoo SJ, Park SH, Hwang I, Lee JS, Ahn JH. Role of SVP in the control of flowering time by ambient temperature in Arabidopsis. Genes Dev. 2007;21(4):397–402.View ArticlePubMedPubMed CentralGoogle Scholar
  63. Shi Y, Tian S, Hou L, Huang X, Zhang X, Guo H, et al. Ethylene signaling negatively regulates freezing tolerance by repressing expression of CBF and type-a ARR genes in Arabidopsis. Plant Cell. 2012;24(6):2578–95.View ArticlePubMedPubMed CentralGoogle Scholar
  64. Shi Y, Ding Y, Yang S. Cold signal transduction and its interplay with phytohormones during cold acclimation. Plant Cell Physiol. 2015;56(1):7–15.View ArticlePubMedGoogle Scholar
  65. Bak S, Tax FE, Feldmann KA, Galbraith DW, Feyereisen R. CYP83B1, a cytochrome P450 at the metabolic branch point in auxin and indole glucosinolate biosynthesis in Arabidopsis. Plant Cell. 2001;13(1):101–11.View ArticlePubMedPubMed CentralGoogle Scholar
  66. Dharmasiri S, Swarup R, Mockaitis K, Dharmasiri N, Singh SK, Kowalchyk M, et al. AXR4 is required for localization of the auxin influx facilitator AUX1. Science. 2006;312(5777):1218–20.View ArticlePubMedGoogle Scholar
  67. Veerabagu M, Elgass K, Kirchler T, Huppenberger P, Harter K, Chaban C, et al. The Arabidopsis B-type response regulator 18 homomerizes and positively regulates cytokinin responses. Plant J. 2012;72(5):721–31.View ArticlePubMedGoogle Scholar
  68. Song GQ. Blueberry (Vaccinium corymbosum L.). Methods Mol Biol. 2015;1224:121–31.View ArticlePubMedGoogle Scholar
  69. Norvell DJ, Moore JN. An evaluation of chilling models for estimating rest requirements of highbush blueberries (Vaccinium-Corymbosum L). J Am Soc Hortic Sci. 1982;107(1):54–6.Google Scholar
  70. Spiers JM, Marshall DA, Smith BJ, Braswell JH. Method to determine chilling requirement in blueberries. Acta Hortic. 2006;715:105–9.View ArticleGoogle Scholar
  71. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30(12):2725–9.View ArticlePubMedPubMed CentralGoogle Scholar
  72. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.View ArticlePubMedPubMed CentralGoogle Scholar
  73. Maere S, Heymans K, Kuiper M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics. 2005;21(16):3448–9.View ArticlePubMedGoogle Scholar
  74. Regnault T, Daviere JM, Heintz D, Lange T, Achard P. The gibberellin biosynthetic genes AtKAO1 and AtKAO2 have overlapping roles throughout Arabidopsis development. Plant J. 2014;80(3):462–74.View ArticlePubMedGoogle Scholar
  75. Xiong L, Zhu JK. Regulation of abscisic acid biosynthesis. Plant Physiol. 2003;133(1):29–36.View ArticlePubMedPubMed CentralGoogle Scholar
  76. Hwang D, Chen HC, Sheen J. Two-component signal transduction pathways in Arabidopsis. Plant Physiol. 2002;129(2):500–15.View ArticlePubMedPubMed CentralGoogle Scholar
  77. Normanly J, Bartel B. Redundancy as a way of life - IAA metabolism. Curr Opin Plant Biol. 1999;2(3):207–13.View ArticlePubMedGoogle Scholar
  78. Wang KL, Li H, Ecker JR. Ethylene biosynthesis and signaling networks. Plant Cell. 2002;14(Suppl):S131–51.PubMedPubMed CentralGoogle Scholar
  79. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.View ArticlePubMedGoogle Scholar

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