Literature DB >> 29228032

Genome-wide identification of WRKY genes and their expression profiles under different abiotic stresses in Elaeis guineensis.

Yong Xiao1, Lixia Zhou1, Xintao Lei1, Hongxing Cao1, Yong Wang1, Yajing Dou2, Wenqi Tang2, Wei Xia2.   

Abstract

African oil palm (Elaeis guineensis) is an important oil crop grown in tropical region and sensitive to low temperature along with high tolerance to salt and drought stresses. Since the WRKY transcription factor family plays central roles in the regulation of plant stress tolerance, 95 genes belonging to the WRKY family were identified and characterized in oil palm genome. Gene structure analysis showed that EgWRKY genes have considerable variation in intron number (0 to 12) and gene length (477bp to 89,167 bp). Duplicated genes identification indicated 32 EgWRKY genes originated from segmental duplication and two from tandem duplication. Based on transcriptome data, most EgWRKY genes showed tissue-specific expression patterns and their expression could be induced under cold stress. Furthermore, six EgWRKY genes with more than two-folded increased expression level under cold stress were validated by RT-qPCR, which has higher expression level in cold, drought and high salinity treatment. The identification and characterization of WRKY gene family showed that EgWRKY were associated with a wide range of abiotic stress responses in Elaeis guineensis and some EgWRKY members with high expression levels could be selected for further research in analyzing their functions in the stress response in African oil palm.

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Year:  2017        PMID: 29228032      PMCID: PMC5724828          DOI: 10.1371/journal.pone.0189224

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

African oil palm (2n = 32, Elaeis guineensis), belonging to the family Arecaceae, is a major tropical oil crop worldwide, which has the highest oil production per unit area. Presently, this tropical crop is cultivated in Southeast Asia, Africa, Central America and Brazil. In 2012, the total yield of African oil palm was approximately 50 million tons of palm oil from 17 million hectares of plantation (http://faostat3.fao.org/home/E). The whole-genome sequence of Elaeis guineensis was completed and released in2013 and a total of 1.53 Gb of sequence data was assembled with 34,802 genes annotated [1]. As a tropical oil crop, Elaeis guineensis is particularly sensitive to low temperature but has high tolerance to salt and drought stresses. Identifying and validating genes related with stress response processes in African oil palm especially for cold responsive process will assist the further molecular breeding of stress tolerance cultivars. WRKY genes have been identified and functionally analysed in various species. A large proportion of WRKY genes were found to be involved in various biotic [2-7] and abiotic stresses [8-14]. The expression of WRKY gene can also be induced by abscisic acid [15], gibberellins (GA) [16], salicylic acid [17], jasmonic acid [18], and ethylene treatment [19]. In Arabidopsis, the expression of AtWRKY30can be induced by abiotic stress and methyl viologen (MV), H2O2, arsenic, drought, NaCl, and mannitol treatment. Over-expression ofAtWRKY30can significantly increase the tolerance of Arabidopsis to MV and salinity stress [20]. Meanwhile, some WRKYs in rice were also found to be associated with abiotic stress, including OsWRKY11 [11], OsWRKY30[14], OsWRKY45[21], and OsWRKY47 [22]. Mutation of WRKY46 can decrease the tolerance to osmotic and salt stress in Arabidopsis [23]. The expression levels of WRKY25 and WRKY26 can be up-regulated by heat stress [24]. Moreover, in Arabidopsis, WRKY53 was validated in negative regulation of leaf senescence [25]. Some WRKY proteins were also shown to be phosphorylated by MAPKs and to contain a conserved motif for this phosphorylation [14]. Identification and characterization of WRKY genes in African oil palm could show a clue for genes involved in its stress responsive processes. The WRKY transcription factors generally contain one or two conserved WRKY domains and a zinc finger motif and could be divided into three large clusters based on the variations in WRKY and zinc finger motifs [26]. Members of cluster I contain two conserved WRKY motifs with a C2H2 motif. ClustersII and III are characterized by a single conserved WRKY motif. The functional amino acid sequence of a WRKY motif is WRKYGQK and existed different variations, including WRKYGKK, WRKYGEK, WRKYGRK, WKKYGQK, WKRYGQK, and WSKYEQK. Meanwhile, there are two types of zinc finger motifs in WRKY transcription factors: the C2H2 motif (C-X4-5-C-X22-23-H-X1-H) and the C2HC motif (C-X5-7-C-X2-3-H-X1-C) [26]. To date, many WRKY genes in different species have been identified, including 74 WRKY genes in Arabidopsis [27], 103 in rice [28], 45 in barley [29], 55 in cucumber [30], 119 in maize [31], 182 in soybean [32], 109 in cotton [33], and 85 in cassava [34]. However, there is still no systematic identification and characterization of WRKYs conducted in African oil palm to find a clue for candidate WRKY genes involved in the stress responsive processes. In this study, genome-wide scanning for WRKY genes in African oil palm were conducted based on its genome sequence and the gene structures, phylogenetic relationships, expression profiles for all WRKY genes were also been performed. This research will provide insight into the functionality of EgWRKYs in this tropical oil crop.

Plant materials and methods

Plant materials and stress treatments

The seedlings of African oil palm (pisifera, thin-shelled) were grown in nurseries before stress treatments. Thirty-six oil palm plants germinated in the same week and grown in the same nursery were selected for subsequent cold, drought and salt treatment. The control seedlings for the three kinds of treatment were grown under 16 hours light/8 hours dark photoperiod at 26°C and three biological replicates were set in each stress treatment. For the cold treatment, a set of 12 seedling was placed in a growth chamber at 26°C for one day. Three oil palm plants were used as controls and the rest nine oil palm plants were kept at 8°C for 4, 24, and 48 hours under 16 hours light/8 hours dark photoperiod. Spear leaves were sampled from control and cold-treated seedlings and immediately frozen in liquid nitrogen. For the drought treatment, when soil water content reached 23% (2.3 g water per 10 g soil), spear leaves were sampled after 0, 4, 24 and 48 hours and immediately frozen in liquid nitrogen. For the salt treatment, the roots of oil palm seedlings were soaked in a NaCl solution (400 mmol/L)under 16 hours light/8 hours dark photoperiod at 26°C, and spear leaves were sampled 0, 4, 24, and 48 hours after salt treatment and immediately frozen in liquid nitrogen for RNA isolation. The MRIP method was used to extract RNA from these leaves [35].

Identification and phylogenetic analysis of EgWRKYs

The whole-genome sequence of Elaeis guineensis was downloaded from the National Center for Biotechnology Information (NCBI). Sequences of AtWRKY genes were downloaded from the Arabidopsis Information Resource (TAIR), available at http://www.arabidopsis.org. To identify EgWRKYs in Elaeis guineensis, AtWRKY sequences were used as queries to blast against all gene models in African oil palm, using a cutoff E-value of 1e-10. Multiple protein sequences alignment was used to confirm the conserved domains of EgWRKY sequences. Meanwhile, the conserved motifs were also predicted by alignment with CDD (http://www.ncbi.nlm.nih.gov/cdd) and PFAM databases (http://pfam.sanger.ac.uk). The MEME program (http://meme-suite.org) was used to identify the conserved motifs of EgWRKYs. MEGA 5.0 software was used to construct a neighbour-joining phylogenetic tree based on amino acid sequences of conserved WRKY domain with 1000 bootstrap replicates [36, 37].

Characterization of gene structures and gene duplication events of EgWRKY

The gene annotation summaries, CDSs, and mRNA sequences of Elaeis guineensis was downloaded from NCBI. Gene structures of EgWRKYs in Elaeis guineensis were confirmed by aligning mRNA sequences with the whole-genome sequence of Elaeis guineensis. The gene structures were identified by the Gene Structure Display Server programme. The duplication events of all EgWRKY identified in this study were analysed using an algorithm that can scan multiple genomes or subgenomes to identify putative homologous chromosomal regions and align these regions using genes as anchors [38].

The expression profiles analysis of EgWRKYs based on transcriptome datasets

The raw data of nine transcriptomes from different tissues, including mesocarp (five different developmental stages), leaf, fruit, flower, root, and shoot, were downloaded from the SRA (Sequence Read Archive) database of the NCBI website. RPKM (reads per kb per million reads)values were used to calculate gene expression levels using the following formula[39]: where C is the number of reads that aligned exclusively with one expressed sequence; N is the total number of reads that aligned with all expressed sequences; and L is the number of bases in the CDS of the corresponding sequence.

Real-time qPCR assays

Quantitative real-time PCR was carried out using a standard SYBR Premix Ex Taq™ kit (TaKaRa) protocol in 96-well optical plates (Axygen) with a final reaction volume of 10 μl. The real-time qPCRs were incubated in 0.2-ml tubes in a Mastercycler ep realplex4 (Eppendorf) machine as follows: 95°C for 5 seconds, 55°C for 15 seconds and 68°C for 20 seconds. The procedure ended with a melt curve ramping from 60 to 95°C for 20 minutes to verify the PCR specificity. All qPCRs were carried out in biological and technical triplicate. The final Ct values were the means of nine measurements. The expression levels of the selected EgWRKYs were normalized to those of ELF, which was previously found to be a stable reference gene under abiotic stress [40]. One-way ANOVA was used to test significant difference (LSD, p< 0.05) of expression level between different time periods after cold, drought and salt treatment. All expression data was analyzed using SPSS software.

Results

Identification of EgWRKY transcription factors in the genome of Elaeis guineensis

The identification of EgWRKY genes in African oil palm were using the amino acid sequences of 72 AtWRKY genes were used as query sequences with a cutoff E-value < 10-5via BLAST analysis. The blast results showed that 97orthologous genes of AtWRKY were found in home-made database containing all protein coding genes from African oil palm and these genes could be classified into the EgWRKY gene family. The conserved WRKY domain sequences analysis in these EgWRKY genes excluded two genes from further analysis due to a lack of the conserved WRKY domain. These remaining EgWRKYs were designated from EgWRKY01 to EgWRKY95 according to their genomic location in African oil palm. Detailed information about the 95 EgWRKY genes was listed in Table 1 (S1 and S2 Text).
Table 1

Detailed information for the EgWRKY genes identified in the genome of Elaeis guineensis.

Gene SymbolChromosome No.Gene LOCStrandStartEndPeptide Length
WRKY011LOC105049863minus28281182834829237
WRKY021LOC105054716plus35283523531492517
WRKY031LOC105055190minus35810863582588196
WRKY041LOC105055340plus35879013589580206
WRKY051LOC105038749minus35974963599292202
WRKY061LOC105056374minus37906303791759176
WRKY071LOC105039486minus85085208510767356
WRKY081LOC105042030minus1032925010329726158
WRKY091LOC105041582minus1033421510335866346
WRKY101LOC105041458plus1055978010561375276
WRKY111LOC105049072plus1826752918269693342
WRKY121LOC105048544plus1907445619077025588
WRKY131LOC105058356minus4515021445153149258
WRKY141LOC105058306plus4609022046106758947
WRKY152LOC105035500plus12448491249774500
WRKY162LOC105038142minus1837821318380205304
WRKY172LOC105038817minus3442048734423323181
WRKY182LOC105038993minus3896011138968368738
WRKY192LOC105039302plus4776436847766219316
WRKY202LOC105039542minus4991640849921049739
WRKY212LOC105039938plus6059554560597170254
WRKY223LOC105040295minus28978902903252240
WRKY233LOC105040365plus39761913981682632
WRKY243LOC105040375minus44219754423228208
WRKY253LOC105040376plus44552964457347171
WRKY263LOC105040720plus1154219111545474373
WRKY273LOC105040793minus1290563412907531374
WRKY283LOC105041017plus1684084016843289532
WRKY293LOC105042138plus4320157143208037186
WRKY303LOC105042164plus4686994946873630358
WRKY314LOC105043766plus4668808446692604213
WRKY324LOC105043986plus5035445150358395419
WRKY335LOC105044378plus10032671006117326
WRKY345LOC105044758minus59714535974564594
WRKY355LOC105044827minus74688897471135291
WRKY365LOC105044828minus75092557511846276
WRKY375LOC105045089minus75160527519209210
WRKY385LOC105045090minus75339087536374365
WRKY395LOC105044992minus1146684311468463311
WRKY405LOC105045992plus4276932742771373310
WRKY415LOC105045991plus4285685242860147323
WRKY425LOC105046191plus44348667443617391303
WRKY435LOC105045782plus4710133347106104469
WRKY445LOC105045639minus4890866848911631314
WRKY456LOC105046551minus30401683043302356
WRKY466LOC105046621minus42880744293918462
WRKY476LOC105046637plus47742074779820302
WRKY486LOC105047221minus3362555633627842575
WRKY496LOC105047232minus3424128634243364336
WRKY506LOC105047488minus3880447638806170277
WRKY516LOC105047514plus3915710739158687328
WRKY526LOC105047564minus4048485340487251360
WRKY536LOC105047700minus4260407842605690202
WRKY546LOC105047725plus4305521943060457235
WRKY557LOC105047930plus26037102610166626
WRKY567LOC105047934minus26649082666305210
WRKY577LOC105047936plus26980842699488166
WRKY587LOC105048100minus55659235567535287
WRKY597LOC105048220plus77280417731472369
WRKY607LOC105048265minus86429798644669371
WRKY617LOC105048552plus1062230810624799584
WRKY627LOC105049007plus2617556526204615170
WRKY637LOC105049350plus4043770840439232324
WRKY648LOC105050028minus2354379823554103742
WRKY658LOC105050398plus3131842331319807308
WRKY668LOC105050724minus3652137336525318257
WRKY678LOC105050725minus3653813836539837315
WRKY688LOC105050730plus3667232036680988533
WRKY698LOC105050834plus3847734738479734321
WRKY709LOC105051963plus3312196433123639292
WRKY7110LOC105052206minus29199603009126514
WRKY7210LOC105052255minus54886585491941530
WRKY7310LOC105052308minus75330007535705312
WRKY7410LOC105052410minus75551197557529243
WRKY7510LOC105052589plus1649819416500066283
WRKY7610LOC105053348minus2793657027938051116
WRKY7710LOC105053433plus3081671730820483353
WRKY7811LOC105053799plus2594421825948814421
WRKY7914LOC105056919minus19369771939615336
WRKY8014LOC105057172minus39995864002656596
WRKY8114LOC105057372minus47896124792391385
WRKY8214LOC105057329minus65940366597123315
WRKY8315LOC105058006minus73686647381113551
WRKY84-LOC105037454plus4982001202
WRKY85-LOC105037502minus7071876232
WRKY86-LOC105036260minus3095133207133
WRKY87-LOC105032259plus11185231122926251
WRKY88-LOC105060191plus11545501156525316
WRKY89-LOC105060181minus776067784882535
WRKY90-LOC105061299minus11320531196544709
WRKY91-LOC105032540minus10564881082285672
WRKY92-LOC105033674plus298091311193551
WRKY93-LOC105034695plus157052174713545
WRKY94-LOC105034934minus231238253849641
WRKY95-LOC105035205plus245494250181478

Chromosomal locations, gene structures, and gene duplication of EgWRKY

The distribution of EgWRKY in African oil palm was uneven: 83EgWRKY genes were unevenly distributed among13 chromosomes; while no EgWRKY genes were detected in chromosomes12, 13 and 16 (Fig 1). Chromosome 1 harboured 14EgWRKY genes, the largest number of any chromosome. Moreover, 12EgWRKYgenes were located on undetermined chromosomes.
Fig 1

Distribution of EgWRKY genes across the chromosomes of Elaeis guineensis.

Vertical bars represent chromosomes of Elaeis guineensis. The chromosome number is indicated at the top of each chromosome. The coloured lines indicate different clusters based on multiple alignments between conserved WRKY domains from the 95 EgWRKY genes identified in this study. Dark red: cluster I; Green: cluster II; Blue: cluster III; Yellow: cluster IV; Red: cluster V; Black: cluster VI; Purple: cluster VII; Brown: cluster VIII; Bright green: cluster IX.

Distribution of EgWRKY genes across the chromosomes of Elaeis guineensis.

Vertical bars represent chromosomes of Elaeis guineensis. The chromosome number is indicated at the top of each chromosome. The coloured lines indicate different clusters based on multiple alignments between conserved WRKY domains from the 95 EgWRKY genes identified in this study. Dark red: cluster I; Green: cluster II; Blue: cluster III; Yellow: cluster IV; Red: cluster V; Black: cluster VI; Purple: cluster VII; Brown: cluster VIII; Bright green: cluster IX. Analysis of EgWRKY gene structures indicated a notably variation exist in these genes (Fig 2). The intron numbers of EgWRKY genes identified in this study varied from 0 to 12, with an average of 2.99 introns per EgWRKY (S1 Table). The largest fraction of EgWRKYs (42, 44.21%) contained two introns, followed by EgWRKYs containing three introns (20, 21.05%). Large gene size variation were detected in EgWRKY which varied from 477 bp (EgWRKY08) to 89,167 bp (EgWRKY71), with an average size of 5992 bp. The large variations in structure in the members of the EgWRKY gene family suggest that the genome of Elaeis guineensis has undergone significant divergence during a long evolutionary history.
Fig 2

Gene structures of the 95 EgWRKY genes identified in this study.

Exons are represented by coloured boxes and introns are represented by black lines.

Gene structures of the 95 EgWRKY genes identified in this study.

Exons are represented by coloured boxes and introns are represented by black lines. The segmental duplication in Elaeis guineensis defined this species may have originated from a palaeotetrapolyploid. In this study, we investigated the segmental duplication event shappened in blocks containing EgWRKYs genes. The gene distribution in oil palm homologous blocks showed that 32 EgWRKYs were produced by segmental duplication, and two EgWRKYs were produced by tandem duplication. According to whole-genome duplication analysis of Elaeis guineensis, four large synteny blocks were detected in chromosomes 1, 3, 6, and 7. The 32 EgWRKYs produced by segmental duplication were also found to be located in the four large synteny blocks indicated by Singh et al [1] (Fig 3). Nine pairs of EgWRKYs in chromosomes 1 and 6 showed good collinear relationships. Seven other pairs of EgWRKYs produced by segmental duplication were detected in chromosomes 3 and 7.
Fig 3

Duplicated genes pairs of EgWRKYs identified in this study.

The coloured bars represent chromosomes of Elaeis guineensis.

Duplicated genes pairs of EgWRKYs identified in this study.

The coloured bars represent chromosomes of Elaeis guineensis.

Classification of EgWRKYs according to conserved WRKY domains

Of the 95 EgWRKYs identified, the majority(67, 70.52%)contained only one conserved WRKY domain, 19 (20%) contained two conserved WRKY domains, and the remaining 9 (9.48%)contained one conserved C2H2-type zinc finger domain and one conserved WRKY domain (Fig 4). Phylogenetic analyses were performed to evaluate the relationship between the identified EgWRKYs by the neighbour-joining analysis. The phylogenetic tree was constructed based on the WRKY motif, and 95 EgWRKY genes were classified into eight groups (Fig 5). The 67 EgWRKYs that contained only one WRKY domain clustered into all groups except V and VI. The N-terminal WRKY domains in the19 EgWRKYs containing two conserved WRKY domains clustered into group I, except for EgWRKY92, EgWRKY93, EgWRKY67, and EgWRKY70, while the other C-terminal WRKY domains were clustered exclusively into groups V and VI. Meanwhile, the EgWRKYs containing one conserved C2H2-type zinc finger domain and one conserved WRKY domain were clustered into groupVII, except for EgWRKY09, EgWRKY37, EgWRKY38, and EgWRKY85.
Fig 4

Schematic representation of conserved motifs in 95 EgWRKY genes.

All motifs were identified by MEME with the full-length amino acid sequence of 95 EgWRKY in Elaeis guineensis. The size of each EgWRKY were displayed proportionally. WRKY and bZIP motif were indicated using different colour box.

Fig 5

Phylogenetic tree obtained from the neighbour-joining analysis of conserved WRKY motifs from 95 EgWRKY genes.

EgWRKYs that contain only one WRKY domain are marked with brown circles; EgWRKYs that contain conserved WRKY and bZIP domains are marked with red circles; EgWRKYs that contain two conserved WRKY domains are marked with blue circles.

Schematic representation of conserved motifs in 95 EgWRKY genes.

All motifs were identified by MEME with the full-length amino acid sequence of 95 EgWRKY in Elaeis guineensis. The size of each EgWRKY were displayed proportionally. WRKY and bZIP motif were indicated using different colour box.

Phylogenetic tree obtained from the neighbour-joining analysis of conserved WRKY motifs from 95 EgWRKY genes.

EgWRKYs that contain only one WRKY domain are marked with brown circles; EgWRKYs that contain conserved WRKY and bZIP domains are marked with red circles; EgWRKYs that contain two conserved WRKY domains are marked with blue circles.

Expression levels of EgWRKYs in different tissues based on transcriptome data

To assess EgWRKY expression levels in different tissues of Elaeis guineensis, nine transcriptomes were downloaded from the SRA database of NCBI. These transcriptomes covered six oil palm tissues, including mesocarp (five different developmental stages), leaf, fruit, flower, root and shoot tissue. Almost every EgWRKY gene expressed (RPKM value > 0) in at least one transcriptome data set, except for EgWRKY08, EgWRKY09, EgWRKY37, EgWRKY38, EgWRKY40, EgWRKY46and EgWRKY85 (Fig 6). However, a large proportion of EgWRKYs showed low expression levels in the nine transcriptome data sets (RPKM values< 15). EgWRKY19had high expression levels (RPKM value > 15) in all five tissues of Elaeis guineensis. Three EgWRKYs had high expression levels (RPKM value >15) in four tissues (including EgWRKY69, EgWRKY07 and EgWRKY19). Thirty EgWRKYs showed high expression levels (RPKM value >15) in only one tissue (including EgWRKY01, 02, 05, 06, 11, 20, 21, 24, 25, 30, 31, 33, 35, 36, 41, 44, 48, 49, 51, 53, 58, 60, 64, 66, 67, 74, 80, 81, 93 and94), which indicated that a large proportion of EgWRKYs showed a tissue-specific expression pattern. Twenty-nine EgWRKYs had low (RPKM value < 15)or no expression in the five tissues of Elaeis guineensis (including EgWRKY08, 09, 10, 12, 13, 15, 17, 23, 32, 37, 38, 39, 40, 42, 46, 47, 50, 52, 63, 65, 68, 75, 78, 79, 82, 90, 92 and95).
Fig 6

Heat map of EgWRKY gene expression in different tissues of Elaeis guineensis.

Log 2RPKM values were used to construct the heat map with clustering.

Heat map of EgWRKY gene expression in different tissues of Elaeis guineensis.

Log 2RPKM values were used to construct the heat map with clustering. Meanwhile, we also investigated the expression patterns of the duplicated gene pairs in different tissues. As shown in Fig 7, the expression levels of most duplicated gene pairs showed different patterns across different tissues, except for WRKY24_Chr3/WRKY56_Chr7 in flower tissue andWRKY26_Chr3/WRKY59_Chr7 in flower and root tissue. These two duplicated gene pairs both showed high expression levels in flower and root tissue. These results suggested that subfunctional processes have conducted in these duplicate gene pairs of EgWRKY during a long evolutionary history.
Fig 7

The expression patterns of duplicate genes in different tissues.

Expression changes of EgWRKYs under cold stress

Analysis of the expression level change of EgWRKYs under cold stress were conducted based on two transcriptomes: one from a control sample and one from a mixture of samples collected at different times after cold treatment. The RPKM values of all 95 EgWRKYs were increased in the trascriptome under cold stress. Additionally, the expression changes of 17 EgWRKYs were greater than two-fold under cold stress; these included EgWRKY03, 06, 07, 11, 16, 25, 26, 28, 29, 35, 52, 59, 61, 72, 76, 80 and 88.

Validation of expression of some EgWRKYs under cold, drought and salt stress

Based on trasncriptome data under cold treatment, 17 EgWRKY genes had increased expression levels at least two fold, six (EgWRKY06, 11, 25, 61, 72, and 88) of which were validated using real-time qRT-PCR. As was observed in the transcriptome data under cold stress, the expression of the six EgWRKYs could be induced under cold stress (Fig 8) which in accordance with the result from transcriptome data. Meanwhile, these six EgWRKYs could also be induced under drought and salt treatment. These data seem to indicate that these six EgWRKYs were associated with a wide range of abiotic stress responses in Elaeis guineensis.
Fig 8

Real-time quantitative PCR validation of EgWRKY gene expression under salt, drought and cold treatment.

One-way ANOVA was used to test significant difference of expression level between adjacent time periods. * indicated “p< 0.05” and ** indicated “p< 0.01”.

Real-time quantitative PCR validation of EgWRKY gene expression under salt, drought and cold treatment.

One-way ANOVA was used to test significant difference of expression level between adjacent time periods. * indicated “p< 0.05” and ** indicated “p< 0.01”.

Discussion

African oil palm (Elaeis guineensis, 2n = 32) is an important tropical oil crop and has high tolerance to drought and salt stress. Currently, African oil palm is mainly cultivated in the tropics with a minimal growth temperature of 15°C and the cultivation area is limited. Low temperature causes cold damage such as yellowing and withering of young leaves and flowers in oil palm. To provide clues for molecular basis of oil palm stress response, the WRKY transcript factor family, which plays a critical role in the regulation of plant stress tolerance, was systematically analyzed in this study. A total of 95 EgWRKY genes were identified in African oil palm genome and characterized in four aspects—gene structure variation (477 bp in EgWRKY08 to 89,167 bp in EgWRKY71), phylogenetic relationship, gene expansion and expression profiles. According to the amino acid sequences of the conserved domains, phylogenetic and evolutionary relationships among the 95 EgWRKYs were established. Previous studies had shown that WRKY transcription factors can be grouped into three clusters. Cluster I proteins contain two conserved WRKY motifs with a C2H2 motif. Clusters 2 and 3 are characterized by a single conserved WRKY motif[26]. A few studies also showed that in some species, the WRKY family may include cluster IV, which contains an incomplete WRKY domain [41]. In this study, 95 EgWRKYs were classified into nine clusters. For the N- and C-terminal WRKY conserved domains, the phylogenetic analysis showed that they were classified into different classes: N-terminal conserved domains were grouped into cluster I, and C-terminal domains were grouped into clusters V and VI. WRKY genes with conserved WRKY and bZIP motifs were grouped into cluster VII. WRKYs with single conserved motif were mainly grouped into clusters II, III, IV, VIII, and IX. EgWRKY13, EgWRKY40, and EgWRKY74, which were found to contain incomplete conserved motifs, were grouped into clusters II, VIII, and IX, respectively. Gene structure diversity was thought to be able to reflect the evolutionary relationships of gene families, providing additional information for phylogenetic classification [42]. In this study, the numbers of introns found in the identified EgWRKY genes varied from 0 to 12, with an average of 2.99 introns per EgWRKY. Some previous studies have shown the diversity of gene structure in various species. The number of introns of cassava varied from 1 to 5[34]. In rice and rubber tree, the number of introns varied from 0 to 8 and 1 to 7, respectively[43, 44]. These results indicated that oil palm had more gene structure diversity than did cassava, rice and rubber tree. Meanwhile, the largest fraction of EgWRKYs (42, 44.21%) contained two introns. A similar phenomenon was also detected in cassava (42 of 85 MeWRKY genes contained two introns), rice (42 of 92) and rubber tree (40 of 81). Cluster I members contained 1 to 12 introns; cluster II, 3 to 6; cluster III, 2 to 4; cluster IV, 0 to 3; cluster V, 1 to 12; cluster VI, 0 to 6; cluster VII, 2 to 3 with the exception ofEgWRKY71; and clustersVIIIandIX, 2 to 3. Previous research showed that intron loss occurs more rapidly than intron gain after segmental duplication in rice. Consequently, some EgWRKYs from clusters I and V may be original genes compared to other EgWRKYs in Elaeis guineensis. Some previous studies showed that the expression of WRKY transcription factors can be induced by abiotic stress and play crucial roles in regulating plant responses to abiotic stress [8-14]. In Arabidopsis, WRKY34 was found to be involved in cold stress and is a negative regulator of cold response[45]. AtWRKY34 showed high similarity toEgWRKY18 andEgWRKY64. Based on transcriptomic data, expression of EgWRKY18 andEgWRKY64 can be induced under cold stress. In Arabidopsis, AtWRKY30expression can be induced by abiotic stress and MV, H2O2, arsenic, drought, NaCl, and mannitol treatment. Overexpressing AtWRKY30can significantly increase the tolerance of Arabidopsis to MV and salinity stress[14]. AtWRKY30 showed high similarity to EgWRKY07 and EgWRKY52. According to transcriptome data, expression of these two EgWRKYs was strongly induced, up-regulated 3.367- and 11.883-fold, respectively. The C-terminal domain of AtWRKY33 can interact with multiple VQ proteins to regulate multiple abiotic stresses [10]. AtWRKY33has high similaritytoEgWRKY34and EgWRKY42, and these two EgWRKYs were up-regulated 2.72- and 1.15-fold under cold treatment, respectively. Based on transcriptome data and qPCR results, the expression of almost all the EgWRKYs was induced under abiotic stresses. This indicated that EgWRKYs may play important roles in oil palm responses to abiotic stresses.

Gene sequences of 95 EgWRKYs identified in the study.

(TXT) Click here for additional data file.

Amino acid sequence of 95 EgWRKYs identified in the study.

(TXT) Click here for additional data file.

Exon position of every EgWRKY gene in the chromosome of Elaeis guineensis.

(XLSX) Click here for additional data file.
  40 in total

1.  Isolation and characterization of a Vitis vinifera transcription factor, VvWRKY1, and its effect on responses to fungal pathogens in transgenic tobacco plants.

Authors:  Chloé Marchive; Rim Mzid; Laurent Deluc; François Barrieu; Julien Pirrello; Adrien Gauthier; Marie-France Corio-Costet; Farid Regad; Bernard Cailleteau; Saïd Hamdi; Virginie Lauvergeat
Journal:  J Exp Bot       Date:  2007-04-24       Impact factor: 6.992

2.  A comprehensive transcriptional profiling of the WRKY gene family in rice under various abiotic and phytohormone treatments.

Authors:  Rengasamy Ramamoorthy; Shu-Ye Jiang; Nadimuthu Kumar; Prasanna Nori Venkatesh; Srinivasan Ramachandran
Journal:  Plant Cell Physiol       Date:  2008-04-15       Impact factor: 4.927

3.  CaWRKY58, encoding a group I WRKY transcription factor of Capsicum annuum, negatively regulates resistance to Ralstonia solanacearum infection.

Authors:  Yuna Wang; Fengfeng Dang; Zhiqin Liu; Xu Wang; Thomas Eulgem; Yan Lai; Lu Yu; Jianju She; Youliang Shi; Jinhui Lin; Chengcong Chen; Deyi Guan; Ailian Qiu; Shuilin He
Journal:  Mol Plant Pathol       Date:  2012-10-11       Impact factor: 5.663

4.  Analysis of multiple transcriptomes of the African oil palm (Elaeis guineensis) to identify reference genes for RT-qPCR.

Authors:  Wei Xia; Annaliese S Mason; Yong Xiao; Zheng Liu; Yaodong Yang; Xintao Lei; Xiaoming Wu; Zilong Ma; Ming Peng
Journal:  J Biotechnol       Date:  2014-05-23       Impact factor: 3.307

5.  Activated expression of WRKY57 confers drought tolerance in Arabidopsis.

Authors:  Yanjuan Jiang; Gang Liang; Diqiu Yu
Journal:  Mol Plant       Date:  2012-08-28       Impact factor: 13.164

6.  Overexpression of OsWRKY72 gene interferes in the abscisic acid signal and auxin transport pathway of Arabidopsis.

Authors:  Song Yu; Chen Ligang; Zhang Liping; Yu Diqiu
Journal:  J Biosci       Date:  2010-09       Impact factor: 1.826

7.  Enhanced heat and drought tolerance in transgenic rice seedlings overexpressing OsWRKY11 under the control of HSP101 promoter.

Authors:  Xiaolan Wu; Yoko Shiroto; Sachie Kishitani; Yukihiro Ito; Kinya Toriyama
Journal:  Plant Cell Rep       Date:  2008-09-26       Impact factor: 4.570

8.  Functional analysis of an Arabidopsis transcription factor WRKY25 in heat stress.

Authors:  Shujia Li; Qiantang Fu; Weidong Huang; Diqiu Yu
Journal:  Plant Cell Rep       Date:  2009-01-06       Impact factor: 4.570

9.  Genome-wide annotation of the soybean WRKY family and functional characterization of genes involved in response to Phakopsora pachyrhizi infection.

Authors:  Marta Bencke-Malato; Caroline Cabreira; Beatriz Wiebke-Strohm; Lauro Bücker-Neto; Estefania Mancini; Marina B Osorio; Milena S Homrich; Andreia Carina Turchetto-Zolet; Mayra C C G De Carvalho; Renata Stolf; Ricardo L M Weber; Gastón Westergaard; Atílio P Castagnaro; Ricardo V Abdelnoor; Francismar C Marcelino-Guimarães; Márcia Margis-Pinheiro; Maria Helena Bodanese-Zanettini
Journal:  BMC Plant Biol       Date:  2014-09-10       Impact factor: 4.215

10.  Molecular phylogenetic and expression analysis of the complete WRKY transcription factor family in maize.

Authors:  Kai-Fa Wei; Juan Chen; Yan-Feng Chen; Ling-Juan Wu; Dao-Xin Xie
Journal:  DNA Res       Date:  2012-01-24       Impact factor: 4.458

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  22 in total

1.  Genome-wide identification of WRKY family genes and their response to abiotic stresses in tea plant (Camellia sinensis).

Authors:  Pengjie Wang; Chuan Yue; Di Chen; Yucheng Zheng; Qian Zhang; Jiangfan Yang; Naixing Ye
Journal:  Genes Genomics       Date:  2018-09-20       Impact factor: 1.839

Review 2.  CRISPR/Cas mediated base editing: a practical approach for genome editing in oil palm.

Authors:  Rajesh Yarra; Hongxing Cao; Longfei Jin; Yang Mengdi; Lixia Zhou
Journal:  3 Biotech       Date:  2020-06-15       Impact factor: 2.406

3.  Genome-wide identification and expression analyses of WRKY transcription factor family members from chickpea (Cicer arietinum L.) reveal their role in abiotic stress-responses.

Authors:  Muhammad Waqas; Muhammad Tehseen Azhar; Iqrar Ahmad Rana; Farrukh Azeem; Muhammad Amjad Ali; Muhammad Amjad Nawaz; Gyuhwa Chung; Rana Muhammad Atif
Journal:  Genes Genomics       Date:  2019-01-12       Impact factor: 1.839

4.  Genome-wide analysis and characterization of R2R3-MYB family in pigeon pea (Cajanus cajan) and their functional identification in phenylpropanoids biosynthesis.

Authors:  Jie Yang; Su Zhang; Hongquan Li; Litao Wang; Ying Liu; Lili Niu; Qing Yang; Dong Meng; Yujie Fu
Journal:  Planta       Date:  2021-09-06       Impact factor: 4.116

Review 5.  WRKY transcription factors: evolution, regulation, and functional diversity in plants.

Authors:  Pooja Goyal; Ritu Devi; Bhawana Verma; Shahnawaz Hussain; Palak Arora; Rubeena Tabassum; Suphla Gupta
Journal:  Protoplasma       Date:  2022-07-13       Impact factor: 3.186

6.  A De Novo Transcriptome Analysis Identifies Cold-Responsive Genes in the Seeds of Taxillus chinensis (DC.) Danser.

Authors:  Jine Fu; Lingyun Wan; Lisha Song; Lili He; Ni Jiang; Hairong Long; Juan Huo; Xiaowen Ji; Fengyun Hu; Shugen Wei; Limei Pan
Journal:  Biomed Res Int       Date:  2022-07-06       Impact factor: 3.246

7.  Isolation and characterization of PoWRKY, an abiotic stress-related WRKY transcription factor from Polygonatum odoratum.

Authors:  Zhongping Wei; Jingfeng Ye; Zhiquan Zhou; Gang Chen; Fanjin Meng; Yifei Liu
Journal:  Physiol Mol Biol Plants       Date:  2021-01-25

Review 8.  Phenomics, genomics of oil palm (Elaeis guineensis Jacq.): way forward for making sustainable and high yielding quality oil palm.

Authors:  B Kalyana Babu; R K Mathur; P Anitha; G Ravichandran; H P Bhagya
Journal:  Physiol Mol Biol Plants       Date:  2021-03-14

Review 9.  Application of CRISPR/Cas9 Genome Editing Technology for the Improvement of Crops Cultivated in Tropical Climates: Recent Progress, Prospects, and Challenges.

Authors:  Effi Haque; Hiroaki Taniguchi; Md Mahmudul Hassan; Pankaj Bhowmik; M Rezaul Karim; Magdalena Śmiech; Kaijun Zhao; Mahfuzur Rahman; Tofazzal Islam
Journal:  Front Plant Sci       Date:  2018-05-08       Impact factor: 5.753

Review 10.  Transgenic Breeding Approaches for Improving Abiotic Stress Tolerance: Recent Progress and Future Perspectives.

Authors:  Ali Anwar; Ju-Kon Kim
Journal:  Int J Mol Sci       Date:  2020-04-13       Impact factor: 5.923

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