Literature DB >> 33270651

Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses.

Juanjuan Li1, Faisal Islam2, Qian Huang2, Jian Wang2, Weijun Zhou2, Ling Xu1, Chong Yang3.   

Abstract

WRKY transcription factors play important roles in various physiological processes and stress responses in flowering plants. Sunflower (Helianthus annuus L.) is one of the important vegetable oil supplies in the world. However, the information about WRKY genes in sunflower is limited. In this study, ninety HaWRKY genes were identified and renamed according to their locations on chromosomes. Further phylogenetic analyses classified them into four main groups including a species-specific WKKY group. Besides, HaWRKY genes within the same group or subgroup generally showed similar exon-intron structures and motif compositions. The gene duplication analysis showed that five pairs of HaWRKY genes (HaWRKY8/9, HaWRKY53/54, HaWRKY65/66, HaWRKY66/67 and HaWRKY71/72) are tandem duplicated and four HaWRKY gene pairs (HaWRKY15/82, HaWRKY25/65, HaWRKY28/55 and HaWRKY50/53) are also identified as segmental duplication events, indicating that these duplication genes were contribute to the diversity and expansion of HaWRKY gene families. The dN/dS ratio of these duplicated gene pairs were also calculated to understand the evolutionary constraints. In addition, synteny analyses of sunflower WRKY genes provided deep insight to the evolution of HaWRKY genes. Transcriptomic and qRT-PCR analyses of HaWRKY genes displayed distinct expression patterns in different plant tissues, as well as under various abiotic and biotic stresses, which provide a foundation for further functional analyses of these genes. Those functional genes related to stress tolerance and quality improvement could be applied in marker assisted breeding of the crop.

Entities:  

Year:  2020        PMID: 33270651      PMCID: PMC7714227          DOI: 10.1371/journal.pone.0241965

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


Introduction

The WRKY gene family is considered as one of the largest transcription factor (TF) family in higher plants [1], which basically contain an approximate 60-residue DNA-binding domain, named as WRKY domain, with a highly conserved heptapeptide motif WRKYGQK and a C2H2- or C2HC-type of zinc-finger motif included. Both the heptapeptide motif and zinc-finger motif are needed for binding of WRKY TFs to the cis-acting element W-box (C/T)TGAC(C/T) [2, 3]. WRKY gene family can be classified into three main groups (I-III), based on the number of WRKY domains and the structure of their zinc-finger motifs [4]. The group I WRKY proteins consist of two WRKY domains, whereas groups II and III contain only one. The group II and III WRKY proteins are distinguished by the type of zinc-finger motif, with a C-X4-5-C-X22-23-H-X1-H type of motif in group II and a C-X7-C-X23-H-X1-C type in group III [5]. The first WRKY gene was cloned and identified from sweet potato, encoding a 549 amino acid protein called SPF1 (SWEET POTATO FACTOR1) [6]. Since then, a large number of WRKY genes have been discovered from different plants. Functional analyses showed that WRKY genes are associated with various aspects of physiological processes, including seed dormancy and germination, root development, leaf senescence, modulation of flowering time, plant nutrient utilization etc [7]. The knockout mutant of AtWRKY2 resulted in hypersensitivity of Arabidopsis to ABA during seed germination and post-germination, early growth, suggesting that AtWRKY2 mediates seed germination and post-germination development [8]. Overexpression of OsWRKY31 in rice inhibited plant lateral root formation and elongation, and also affected the transport process of auxin [9]. AtWRKY12, AtWRKY13 and AtWRKY71 are three main genes regulating Arabidopsis flowering time, with AtWRKY12 and AtWRKY13 working antagonistically under short daylight conditions [10], and AtWRKY71 accelerating flowering [11]. It has been also documented that 12 WRKY genes are involved in leaf senescence in Arabidopsis and rice, as their mutants inhibited or promoted leaf senescence to different extents [7]. In addition to plant growth and development, WRKY genes also participate in modulation of plant tolerance to abiotic and biotic stress. Qiu and Yu [12] reported that overexpression of OsWRKY45 in Arabidopsis significantly increased the expression level of PR genes and ABA/stress regulated genes, thus contributed to the enhancement of disease resistance and salt and drought tolerance of the plant. GmWRKY54 from soybean, which was confirmed in a DNA binding assay that could interact with the W-box, conferred salt and drought tolerance to transgenic Arabidopsis, possibly through the regulation of DREB2A and STZ/Zat10 [13]. In tobacco, overexpression of grape VvWRKY2 reduced the susceptibility to fungal pathogens like Botrytis cinerea, Pythium spp. and Alternaria tenuis [14]. The WRKY1 in tobacco could be phosphorylated by a salicylic acid-induced protein kinase (SIPK), resulting in enhanced DNA-binding activity to a W-box sequence from the tobacco chitinase gene CHN50, and subsequently formation of hypersensitive response-like cell death [15]. Thus, WRKY genes may be involved in mitigating the damage caused by stresses, through interacting with the cis-element W-box and activating downstream plant defense signaling [2]. Common sunflower (Helianthus annuus L.) is grown throughout the world as an industrial crop for edible oil. It is the fourth important oilseed crop which contributes to 12% of the edible oil produced globally. However, sunflower production has been threatened by different stresses, among which drought and salinity are two major abiotic constraints [16]. Moreover, parasitic weed Orobanche cumana is a new emerged biotic issue worldwide [17]. WRKY transcription factors are involved in regulation of plant tolerance to both abiotic and biotic stresses. Thus, it is of great interest to characterize a WRKY gene family in sunflower and identify their functions under different stresses. The WRKY gene family has been well studied in sunflower. Giacomelli et al. [18] have identified a total number of 97 WRKY genes in the Asteraceae family, while only 26 of them belong to H. annuus, and this identification was all based on EST database. The publication of reference genome will provide an opportunity to reveal the organization, expression and evolutionary traits of common sunflower WRKY gene family at the genome-wide level. Badouin et al. [19] reported a high-quality reference for the sunflower genome (3.6 gigabases), with 17 chromosomes and 52,232 protein-coding genes on them. Guo et al. [20] identify 112 sunflower WRKY genes from this reference genome and Liu et al. [21] have extended this family to 119 members. In the current study, another sunflower database from a different sunflower genotype was used to search WRKY genes as support and addition to the previous works. A total of 90 HaWRKY genes were identified, among which 89 had corresponding genes in the updated sunflower WRKY gene family [21], whereas the rest one was newfound (S3 Table). The 90 WRKY genes could be classified into four main groups, including an extra WKKY group. Analyses on exon-intron organization, motif composition, gene duplication, chromosome distribution, phylogenetic relationship and gene synteny were further conducted to systemically characterize these common sunflower WRKY genes. Additionally, the expression patterns of HaWRKY genes in different plant tissues and in responses to different abiotic and biotic stresses were also recorded, to identify the implication of specific WRKY genes in different biological processes. The present findings provide a foundation for future research on functional characterization of WRKY genes in common sunflower.

Materials and methods

Gene identification

The genome of H. annuus (HA412.v1.1.bronze) was downloaded from Sunflower Genome Database (https://www.sunflowergenome.org/). The protein sequences of the WRKY family of A. thaliana were obtained from Plant Transcription Factor Database (http://planttfdb.cbi.pku.edu.cn/index.php) [22], which were used to search the WRKY genes from H. annuus genome via BlastP and tBlastN (E-value ≤ 1e-20). Then Pfam database (http://pfam.xfam.org/) and SMART database (http://smart.embl-heidelberg.de/) were used for verification of the WRKY domains [23, 24]. These potential sequences were further queried in the NCBI Conserved Domains Database (https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml) and InterProScan Database (http://www.ebi.ac.uk/interpro/search/sequence-search) to validate the conserved domain [25, 26]. The molecular weight (Mw) and isoelectric point (pI) of the full-length proteins were predicted using the pI/Mw tool (https://web.expasy.org/compute_pi/) in ExPASy [27].

Phylogenetic analysis and gene structure

Multiple sequence alignment based on WRKY domain sequences were conducted by clustal W analysis with default parameters. A neighbor-joining (NJ) tree was constructed in MEGA 5.2 with the following criteria: Poisson model, pairwise deletion, and 1000 bootstrap replications. Further maximum likelihood (ML) analysis of WRKY gene family from sunflower and Arabidopsis was conducted, to confirm the reliability of the result. The intron-exon structures of sunflower WRKY genes were analyzed by comparing predicted coding sequences with their corresponding full-length sequences using the online tool Gene Structure Display Sever (GSDS, http://gsds.cbi.pku.edu.cn/) [28]. The MEME online program (Multiple Expectation Maximization for Motif Elicitation) version 4.11.1 (http://meme-suite.org/index.html) was used to identify conserved motifs in the sunflower WRKY proteins [29].

Chromosomal distribution and gene duplication

Multiple Collinearity Scan toolkit (MCScanX) was adopted to analyze the gene duplication events with default parameters [30]. PAL2NAL v14 was subsequently used to calculate dN and dS, with a dN/dS ratio of 1 indicative of neutral selection [31].

Plant materials, growth conditions and treatments

Seeds of both O. cumana and two sunflower cultivars JY207 and TK0409 were provided by the Institute of Plant Protection, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China. For abiotic stresses, common sunflower cultivar TK0409 was used. The seeds were germinated and grown in peat moss according to our previous study [32]. At the four-leaf stage, seedlings with uniform size were selected to expose to NaCl (0, 150, and 300 mM) for salt stress and polyethylene glycol-6000 (PEG-6000, 0, 10% and 20% w/v) for simulated drought stress, respectively. The treatment concentrations were selected based on our preliminary experiments [32]. All the plants were placed in a growth chamber with light intensity ranging from 250 to 350 μmol m-2 s-1, temperature at 16–20°C, and relative humidity at approximately 55–60%. After another one week, roots and leaves of the sunflower seedlings were sampled for RNA isolation. For biotic stress, root parasitic weed Orobanche cumana were applied to common sunflower cultivars TK0409 (susceptible) and JY207 (resistant). 200 mg of O. cumana seeds were homogeneously mixed with 0.5 kg of the peat and vermiculite (1:1, v/v) substrate. Sunflowers were grown in the substrate containing O. cumana seeds as mentioned above. All the plants were placed in a growth chamber with 20°C at the daytime and 14°C at night, photoperiod for 14 h, and an irradiance of 300 μmol m−2 s−1. Three weeks after inoculation, sunflower roots were collected for experiments. In order to avoid tissue contamination of O. cumana, sunflower roots that were over 1 cm adjacent to the interaction site with O. cumana were harvested. Each treatment was replicated three times.

Gene expression analysis

To determine the expression profiles of the HaWRKY genes under natural conditions, the transcriptomic data from 10 sunflower tissues, including bract, corolla, leaf, ligule, ovary, pollen, seed, stamen, stem, and style, were downloaded from the “Gene Expression Browser” of Sunflower Genome Database. Data were transformed by log2 (FPKM+1). For biotic stress, the transcriptomic data were from our previous work [33]. Genes with false discovery rate (FDR) less than 0.01 and fold change more than 2 were considered differentially expressed between infected and non-infected sunflower. The expression profile heat-maps were generated using HemI 1.0 software. For abiotic stress, TaKaRa MiniBEST Plant RNA Extraction Kit (Takara Bio, Kyoto, Japan) was used to extract total RNA from sunflower leaves and roots. The quantity and quality of RNA samples were assessed by agarose gel electrophoresis and using a Nanodrop 2000 Spectrophotometer for A260/A280 ratio. 200 ng of total RNA was reverse transcribed by using TaKaRa PrimeScriptTM RT reagent Kit with gDNA Eraser. The gene-specific primers of sunflower for qRT-PCR amplification were designed by using Primer Premier 5.0 software and provided in S1 Table. SYBR Premix Ex Taq II (Tli RNaseH Plus, TaKaRa) in CFX96TM Real-Time PCR detection System (Bio-Rad, Hercules, CA, USA) was used to conduct the qRT-PCR experiments. The PCR conditions consisted of pre-denaturation at 95°C for 30 s, 40 cycles of denaturation at 95°C for 5 s, and annealing and extension at 58°C for 30 s. The default setting was used for the melting curve stage. The 2−ΔΔCt method with three replications was performed for analysis and the ACT2 was selected as the reference gene. Genes with relative expression fold change (stress/control) ≥ 2 and ≤ 0.5 were considered significantly (Tukey’s HSD test, P < 0.05) up and down-regulated, respectively.

Ethics approval and consent to participate

Helianthus annuus cv. TK0409 and JY207 are widely cultivated and Orobanche cumana is a common parasitic weed in Inner Mongolia, China. Both Helianthus annuus and Orobanche cumana are not listed in the appendices I, II and III of the Convention on the Trade in Endangered Species of Wild Fauna and Flora. Seeds of both O. cumana and two sunflower cultivars JY207 and TK0409 were collected in Bayannaoer, Inner Mongolia and provided by the Institute of Plant Protection, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China. Collection of plant materials complied with the institutional, national and international guidelines. No specific permits were required.

Ethical approval

This article does not contain any studies with human participants or animals performed by the authors.

Results

Identification of the WRKY genes

A total of 104 candidate WRKY genes were predicted from H. annuus, among which 14 were removed after domain check and the rest 90 were named as HaWRKY1-HaWRKY90 (S2 Table). In comparison to the results of Guo et al. [20] and Liu et al. [21], one gene (HaWRKY51) in our study was found not included in the previous works, whereas the rest had their corresponding genes. The length of these genes ranged from 388 bp (HaWRKY5) to 8445 bp (HaWRKY49), with molecular weight (MW) from 10.48 to 74.25 kDa. The isoelectric point (pI) of these proteins ranged from 4.81 (HaWRKY86) to 10.44 (HaWRKY53) (S2 Table).

Phylogenetic analysis of WRKY family members

Phylogenetic analysis of WRKY family members of H. annuus and A. thaliana was conducted based on WRKY domain. The common sunflower WRKY domains were divided into four large groups (Figs 1 and 2), corresponding to group I, II and III in Arabidopsis [2] and an extra WKKY group. In contrast, Guo et al. [20] and Liu et al. [21] just distributed WRKY genes into group I, II and III. Among 90 HaWRKY family members, group II accounts for the largest part with 48 HaWRKY proteins, followed by group I with 18 proteins and group III with 17 proteins (Fig 1). There were 7 HaWRKY proteins in group WKKY, with C-X5-C-X23-H-X-H type zinc-finger motifs (Fig 2), which is not found in Arabidopsis (Fig 1). In addition, each group could be divided into several subgroups. Proteins with two WRKY domains were assigned as the N-terminal and the C-terminal WRKY domains according to their locations on protein. The proteins grouped either in N-terminal or C-terminal WRKY domains, usually followed by C2H2-type zinc-finger motifs (C-X4-C-X22–23-H-X-H), were classified as group I, with 16 identified as N-terminal WRKYs (I N) and 15 C-terminal (I C), and among them 13 members contained two WRKY domains (Fig 2). Group II of HaWRKY family could be clustered into five subgroups, with 4 in IIa, 10 in IIb, 13 in IIc, 11 in IId and 10 in IIe (Fig 1, S2 Table). 17 members of HaWRKYs in group III contained the C-X7-C-X23-H-X-C type zinc-finger motifs (Fig 2, S2 Table), and were classified as subgroup IIIa. There were no HaWRKY proteins found in subgroup IIIb, not as that in Arabidopsis (Fig 1).
Fig 1

Phylogenetic relationships of WRKY genes from common sunflower and Arabidopsis.

The different-colored braches indicate different groups (or subgroups). The red solid circles and blue solid squares represent WRKY genes from Arabidopsis and common sunflower, respectively.

Fig 2

Alignment of multiple HaWRKY protein sequences.

“N” and “C” indicate the N- and C-terminal of WRKY domains.

Phylogenetic relationships of WRKY genes from common sunflower and Arabidopsis.

The different-colored braches indicate different groups (or subgroups). The red solid circles and blue solid squares represent WRKY genes from Arabidopsis and common sunflower, respectively.

Alignment of multiple HaWRKY protein sequences.

“N” and “C” indicate the N- and C-terminal of WRKY domains.

Gene structure and motif composition of WRKY family members

The distributions of exons and introns on HaWRKY genes were investigated via GSDS program, to gain further insight into the structure diversity of the WRKY family in sunflower. As shown in Fig 3B, almost half number (43) of the HaWRKY genes had three exons, followed by 17 with two exons, 17 with four exons, 12 with five exons and 1 with seven exons. Genes within same groups generally shared similar structures, such as group IIIa, in which all HaWRKY genes possessed three exons and two introns. Most of the WRKY domains spanned an exon-exon junction, whereas HaWRKY genes with two WRKY domains in the group I at least had one complete domain within one exon, except HaWRKY1. Further analyses on introns indicated that HaWRKY genes only with phase-0 introns (between two consecutive codons) were clustered into group IIa and IIb, and only with phase-2 introns (between the second and third nucleotide of a codon) into the group IId, IIe and IIIa. The phase-1 introns (between the first and second nucleotide of a codon) were widely distributed among these groups, except group IIa.
Fig 3

Phylogenetic relationships, gene structures and motif compositions of WRKY genes in common sunflower.

(A) Phylogenetic tree of WRKY genes. The different-colored braches indicate different groups (or subgroups). (B) Exon-intron structures of WRKY genes. Blue boxes indicate 5’ and 3’ UTRs. Yellow boxes indicate exons. Black lines indicate introns. Red boxes indicate WRKY domains. The numbers indicate the phases of introns. (C) Motif compositions of WRKY proteins. Different motifs are displayed with different colored boxes.

Phylogenetic relationships, gene structures and motif compositions of WRKY genes in common sunflower.

(A) Phylogenetic tree of WRKY genes. The different-colored braches indicate different groups (or subgroups). (B) Exon-intron structures of WRKY genes. Blue boxes indicate 5’ and 3’ UTRs. Yellow boxes indicate exons. Black lines indicate introns. Red boxes indicate WRKY domains. The numbers indicate the phases of introns. (C) Motif compositions of WRKY proteins. Different motifs are displayed with different colored boxes. Motif structures on HaWRKY proteins were constructed via MEME program. As exhibited in Fig 3C, HaWRKY family members within same groups usually have similar motifs with similar arrangements. Motifs 1 and 6 are WRKY domains, with motif 6 only limited in group I, whereas motif 1 distributed all over the groups. Motifs 12, 15, 17 and 18 are unique to group IId, as well as motifs 11, 13 and 19 to group IIe, and motif 20 to group IIIa. In addition, the clustered HaWRKY pairs, like HaWRKY10/19, HaWRKY20/76, HaWRKY25/26, HaWRKY37/90, HaWRKY46/80, HaWRKY71/72, have similar protein lengths and same motif distributions, indicating the conserved motif structures of HaWRKY proteins within same groups.

Evolution of group III HaWRKY genes

In order to understand the evolution of common sunflower group III WRKY genes, a phylogenetic tree of group III WRKY proteins from two monocots (rice and maize) and three dicots (sunflower, Arabidopsis and grape) was constructed. All the group III WRKY family members were divided into 10 clades as shown in Fig 4. WRKY proteins from closer species were clustered into same clades. Most proteins from dicots gathered in clade 1 and 3, whereas monocots in clade 2, 4, 5, 6, 8, 9 and 10. Clade 7 contained proteins from all 5 species, indicating these proteins might be orthologues from a single ancestral gene.
Fig 4

Phylogenetic relationships and motif compositions of group III WRKY proteins from five monocot and dicot plants.

On the left side, proteins are clustered into 10 clades, marked with different colors. On the right side, different motifs are displayed with different colored boxes.

Phylogenetic relationships and motif compositions of group III WRKY proteins from five monocot and dicot plants.

On the left side, proteins are clustered into 10 clades, marked with different colors. On the right side, different motifs are displayed with different colored boxes. MEME analysis was also conducted to search the conserved motifs of group III WRKY proteins from five species. Proteins within same clades usually displayed similar motif structures, indicating potential functional similarities among WRKY proteins. Motifs 1 and 7 were WRKY domains. Interestingly, motif 1 was found in all clades, whereas motif 7 was unique to clades 9 and 10, two clades only containing rice proteins, implying that motif 1 might have common function among different species, while motif 7 might play specific roles in rice and contribute to the divergence of group III WRKY genes. Motifs 1, 10 and 18 were specific to dicots. In contrast, motifs 12 and 19 were only observed in monocots. These motifs might be also important to the divergence of WRKY genes.

Chromosomal location and synteny of HaWRKY genes

HaWRKY genes are distributed unevenly on 17 chromosomes (S2 Table, Fig 5A). Chromosomes Ha10 and Ha15 both have 13 HaWRKY genes as the largest groups, whereas there was no HaWRKY gene observed on chromosomes Ha2. No correlation between chromosome length and HaWRKY gene number could be determined.
Fig 5

Genome localization and synteny analyses of WRKY genes within common sunflower, and between common sunflower and two representative plant species.

(A) Chromosomal distribution and interchromosomal relationships of common sunflower WRKY genes. Gray lines indicate all sytenic gene pairs in common sunflower genome and red lines indicate duplicated WRKY gene pairs. (B-C) Synteny analyses of common sunflower WRKY genes with Arabidopsis and rice, respectively. Gray lines indicate collinear gene pairs between common sunflower and other plant genomes and red lines indicate syntenic WRKY gene pairs.

Genome localization and synteny analyses of WRKY genes within common sunflower, and between common sunflower and two representative plant species.

(A) Chromosomal distribution and interchromosomal relationships of common sunflower WRKY genes. Gray lines indicate all sytenic gene pairs in common sunflower genome and red lines indicate duplicated WRKY gene pairs. (B-C) Synteny analyses of common sunflower WRKY genes with Arabidopsis and rice, respectively. Gray lines indicate collinear gene pairs between common sunflower and other plant genomes and red lines indicate syntenic WRKY gene pairs. Two or more genes located within 200 kb on same chromosome is defined as a tandem duplication event [34]. Five pairs of HaWRKY genes (HaWRKY8/9, HaWRKY53/54, HaWRKY65/66, HaWRKY66/67 and HaWRKY71/72) are tandem duplicated on sunflower chromosomes Ha3, Ha12, Ha14 and Ha15. In addition, four segmental duplication events with four HaWRKY gene pairs (HaWRKY15/82, HaWRKY25/65, HaWRKY28/55 and HaWRKY50/53) are also identified (Fig 4). These results indicated that tandem and segmental duplication possibly contributes to the diversity and expansion of HaWRKY gene families. The dN/dS ratio of these duplicated gene pairs were calculated to understand the evolutionary constraints. The synonymous substitution rates (dS) of all segmental and tandem duplicated HaWRKY gene pairs were higher than non-synonymous substitution rate (dN) as shown in Table 1, indicating that HaWRKY gene family probably went through strong purifying selection during evolution.
Table 1

dN/dS analyses for the duplicated WRKY gene pairs of sunflower.

Duplicated gene 1Duplicated gene 2dNdSdN/dSPurifying SelectionDuplicate type
HaWRKY8HaWRKY90.30470.80410.3790YesTandem
HaWRKY53HaWRKY541.065315.12860.0704YesTandem
HaWRKY65HaWRKY660.834755.08970.0152YesTandem
HaWRKY66HaWRKY670.11320.2650.4273YesTandem
HaWRKY71HaWRKY721.01411.20050.8447YesTandem
HaWRKY15HaWRKY820.18471.22390.1509YesSegmental
HaWRKY25HaWRKY650.24580.7150.3437YesSegmental
HaWRKY28HaWRKY550.776459.82520.0130YesSegmental
HaWRKY50HaWRKY530.12180.66740.1825YesSegmental
Dual syntenies of common sunflower with Arabidopsis and rice were also conducted. A total of eight HaWRKY genes showed syntenic relationship with those in Arabidopsis, composing 9 orthologous pairs, whereas only one HaWRKY gene was collinear with one in rice (Fig 5B and 5C). Similarly, more collinear gene pairs were observed between sunflower and Arabidopsis than rice, as sunflower is phylogenetically closer to Arabidopsis. HaWRKY16 was associated with two Arabidopsis genes and HaWRKY25 and HaWRKY65 are syntenic with a same Arabidopsis gene. HaWRKY25 is also found to be syntenic with a rice gene, indicating that these orthologous pairs might occur before the divergence of monocots and dicots.

Transcriptomic pattern of HaWRKY genes from different tissues

The transcriptome data of HaWRKY genes of different sunflower tissues were downloaded from Sunflower Genome Database. 20 of the 90 identified HaWRKY genes weren’t expressed in all ten tissues (Fig 6A), which might be pseudogenes, have special temporal and spatial expression patterns or express in other tissues. The expression patterns of HaWRKY genes in sunflower were organ-specific, as bract, corolla, ligule, ovary, seed and stamen, which are related to flower, were clustered into a big group, and leaves and stem were in another group (Fig 6A). Most of the HaWRKY genes didn’t express in pollen (Fig 6A). In general, the expression levels of HaWRKY genes in bract, ligule, leaves and stem were higher than that in other tissues (Fig 6B). HaWRKY17/22/79/81 displayed highest transcript abundances across all tissues except pollen and were clustered into a group, whereas the expression levels of HaWRKY23/31/37/40/68/84 were extremely low in all tested tissues (Fig 6A). The expression patterns of some genes were tissue-specific, for example, HaWRKY73 was abruptly induced only in leaves, HaWRKY3 in stem, HaWRKY11 in style, etc.
Fig 6

Expression profile of WRKY genes in different tissues of common sunflower.

(A) Hierachical clustering of expression profile of WRKY genes from different tissues. Data were transformed with a log2 (FPKM+1) transformation. (B) Boxplot of expression levels of WRKY genes in different tissues.

Expression profile of WRKY genes in different tissues of common sunflower.

(A) Hierachical clustering of expression profile of WRKY genes from different tissues. Data were transformed with a log2 (FPKM+1) transformation. (B) Boxplot of expression levels of WRKY genes in different tissues.

Profiles of HaWRKY genes under abiotic and biotic stress

Twenty-three HaWRKY genes which were highly induced in different tissues of common sunflower (except in pollen) were selected to test the reactions of different WRKY genes to different abiotic stresses. Generally, HaWRKY genes were inhibited in sunflower leaves after treatment of PEG and NaCl with different concentrations, whereas HaWRKY29/30 at 150 mM NaCl and HaWRKY48/89 at 20% PEG were significantly (P < 0.05) up-regulated by 46%/140% and 70%/51% compared with control, respectively. But no any significant (Tukey, P<0.05) changes of HaWRKY55/57 were observed in response to abiotic stresses in all comparisons (Fig 7A). Similarly, in roots as shown in Fig 7B, expression levels of most HaWRKY genes decreased significantly in response to simulated drought stress. For example, HaWRKY13/14/16/57/77 were significantly (P < 0.05) down-regulated under 10% and 20% drought stress, while HaWRKY29/74 were significantly (P < 0.05) down-regulated by 55% and 70% only at high concentration of PEG, as compared with control. The expression level of HaWRKY52 and HaWRKY89 were up-regulated by PEG, and 10% PEG significantly (P < 0.05) increased by 152% and 179% compared with control. In contrast, Most of the HaWRKY genes were significantly (P < 0.05) up-regulated after treatment with NaCl in roots, as compared to the control. Among them, the transcript levels of 14 HaWRKY genes, including HaWRKY3/5/14/16/30/35/38/48/52/59/79/81/82 and HaWRKY89 increased and 6 HaWRKY genes (HaWRKY9/10/22/29/55/74) decreased, as the concentration of NaCl went up. HaWRKY13/57/77 were significantly (P < 0.05) depressed by treatment of NaCl in sunflower roots.
Fig 7

Expression profile of 23 selected HaWRKY genes in responses to treatments of PEG and NaCl.

(A) Expression profile of WRKY genes in common sunflower leaves. (B) Expression profile of WRKY genes in common sunflower roots.

Expression profile of 23 selected HaWRKY genes in responses to treatments of PEG and NaCl.

(A) Expression profile of WRKY genes in common sunflower leaves. (B) Expression profile of WRKY genes in common sunflower roots. In order to understand the role of sunflower WRKY gene family against biotic stress, transcription levels of two contrasting common sunflower cultivars (TK0409, susceptible; JY207, resistant) under infection of root parasitic weed Orobanche cumama were tested. Most of the genes were inhibited in both cultivars under attack of O. cumana, as compared to their corresponding cultivars without attack, respectively (Fig 8). Interestingly, HaWRKY 7/15/44/45/68/71/72/76/85 were induced after attack of O. cumana in resistant cultivar JY207, whereas still depressed in susceptible cultivar TK0409 (Fig 8), suggesting these genes might partly contribute to the resistance of sunflower against O. cumana.
Fig 8

Expression profile of HaWRKY genes in response to infection of parasitic weed Orobanche cunama.

JY represents resistant sunflower cultivar JY207; JO represents JY207 with infection of O. cumana; TK represents susceptible sunflower cultivar TK0409; TO representsTK0409 with infection of O. cumana.

Expression profile of HaWRKY genes in response to infection of parasitic weed Orobanche cunama.

JY represents resistant sunflower cultivar JY207; JO represents JY207 with infection of O. cumana; TK represents susceptible sunflower cultivar TK0409; TO representsTK0409 with infection of O. cumana.

Discussion

The WRKY transcription factor family is considered to be involved in diverse stress responses, developmental and physiological processes in plants. Systematical characterization of WRKY genes in several species has been studied, including Arabidopsis, rice, tomato, maize etc. Sunflower WRKY genes have been well characterized benefiting from the release of its reference genome in previous studies [20, 21]. However, there are two sunflower genome database available (“HanXRQr1.0” and “HA412.v1.1.bronze”) assembled from different sunflower genotypes. Guo et al. [20] and Liu et al. [21] have used the “HanXRQr1.0” database for retrieval of WRKY genes. In our study, we used “HA412.v1.1.bronze” database to search WRKY genes as support and addition to the previous works. Indeed, we found 89 WRKY genes which have corresponding genes in the results of Guo et al. [20] and Liu et al. [21], and we discovered another WRKY gene (HaWRKY51) which was neglected in their works. Multiple protein sequence alignments revealed domain variations in common sunflower WRKY family. In comparison to the results of Guo et al. [20] and Liu et al. [21] that classify sunflower WRKY proteins into three normal groups, an extra WKKY group with 7 proteins was identified in our study based on the phylogenetic analysis, including HaWRKY 60 with WKKYGQK, HaWRKY33/50/53/54 with WKKYGEK, and HaWRKY51 with WKKYGKK (Fig 2). Interestingly, this group has been also found in Helianthus exilis, Helianthus petiolaris and Helianthus tuberosus [19], indicating that the WKKY variation is common in the Asteraceae. In addition, WKKYGQK, WKKYGKK and WKKYGEK are also observed in different legumes, but with low frequencies [35]. However, there are no more reports about WKKY group in other plant species. Although the WRKYGQK is highly conserved in most WRKY domains, variation in the core sequence has been documented [35]. In our studies, mutations happened to R and Q sites, while the others were conserved. WRKYGKK and WRKYGEK are the most frequently occurring variants of the core sequence in most plant species [35]. As the WRKYGQK core sequence can interact with the W-box to activate downstream genes, the variations in this motif might influence the function of downstream target genes [13, 36]. Thus, further investigations on functions and binding specificities of these sunflower proteins with mutated WRKY motifs might provide deep insight into this transcription factor family. A domain loss is common in the WRKY gene family in plants, which is recognized as a divergent force for expansion of this gene family [3, 37]. In the current study, 5 domain loss events were found in group I, suggesting a potential cause of the diversity of WRKY genes in this group. Tandem and segmental duplication events also played a pivotal role in the expansion of WRKY gene family [4]. Five pairs of tandem and four pairs of segmental duplicated genes were identified in the present study, with five pairs in group IIIa, two pairs in group IId, one pair in group IIb and one pair in group IIc. This result indicated that tandem and segmental duplication events might contribute to the amplification of sunflower WRKY genes in these groups, as compared to those of Arabidopsis. The origin of WRKY genes from group III appears to have occurred prior to the divergence of monocots and dicots, and then numerous duplications and diversifications happened after that event [38]. In order to explore how the WRKY group III gene family evolved, a phylogenetic tree of WRKY group III proteins from sunflower with two dicots (Arabidopsis, grape) and two monocots (rice, maize) was constructed, which divided the 17 group III HaWRKYs into three clades. WRKY proteins from closer species appeared to be clustered together. Both monocots and dicots proteins occurred in many clades, suggesting group III WRKY genes diversified before the monocot-eudicot split. In addition, clade 7 contained group III WRKY proteins from all 5 species, which tended to form monocot- and dicot-specific subclades, implying that group III WRKY genes evolved separately after the divergence of monocots and dicots. It is well known that WRKY genes play essential roles in plant growth and development [7]. Li et al. [39] reported that AtWRKY13 functioned in stem development, as a weaker stem phenotype was observed and lignin-synthesis-related genes were repressed in Arabidopsis wrky13 mutants. In the current study, the orthologous of AtWRKY13 in sunflower, HaWRKY28 displayed high expression levels in stem, indicating that these genes might also act in stem development in sunflower. Overexpression of WRKY15 exhibited an increased leaf area of Arabidopsis, which implied that AtWRKY15 seemed to be involved in leaf growth [40]. HaWRKY79, which is the orthologous of AtWRKY15, were highly induced not just in leaves, but across all tissues, indicating that this gene might be constitutive in sunflower plant growth and development. In contrast, HaWRKY7 was specifically expressed in leaves, suggesting its role in sunflower leaf growth. Among all WRKY genes in sunflower, only HaWRKY30 displayed a high level of expression in pollen, with other WRKY genes extremely low expressed. Interestingly, two pollen-specific regulators in Arabidopsis, AtWRKY34 and AtWRKY2, have phylogenetically close relationship with this sunflower WRKY gene, indicating that HaWRKY30 might be associated with pollen developmental modulation. In addition to their role in plant growth and development, WRKY TFs also play pivotal roles in various stress responses, providing an important basis for genetic improvement of crops. Drought and salinity, both of which can cause plant cellular dehydration [41], are two major constraints to sunflower production [42]. Responses of plants to drought and salinity usually result in accumulation of reactive oxygen species (ROS) and abscisic acid (ABA) [41, 43], which activate downstream WRKY genes [7]. Overexpression of a membrane-localized cysteine-rich receptor-like protein kinase, CRK5 in Arabidopsis, led to increase of ABA sensitivity and promotion of stomatal closure, and subsequent enhancement of plant drought tolerance. Knockout of AtWRKY18, AtWRKY40 and AtWRKY60 significantly increased the expression of CRK5, suggesting negative regulation of these three genes on CRK5 [44]. In our study, the relative expression levels of two orthologous of AtWRKY40, HaWRKY74 and HaWRKY81, were recorded in sunflower roots and leaves. Expression levels of both two genes decreased as the concentrations of PEG increased in sunflower leaves, while in sunflower roots, two genes were induced under low concentration of PEG and inhibited under high concentration. It has also been reported that AtWRKY46, AtWRKY54, and AtWRKY70 are implicated in promotion of BR-regulated plant growth and inhibition of drought response, as reduced BR-regulated growth and higher survival rates under drought stress was observed in their triple mutant [45]. HaWRKY9 and HaWRKY22, which were phylogenetically close to AtWRKY46, were both repressed under PEG treatments in sunflower roots and leaves. These results are suggesting that sunflower probably enhanced drought tolerance via down-regulating specific WRKY genes and subsequently activating downstream signal pathways. The increase of ABA level caused by drought usually induces high expression of AtWRKY57, which binds to W-box in the promoter region of the downstream response genes. HaWRKY57, the orthologous of AtWRKY57, displayed a high expression level under PEG treatment in sunflower roots. Interestingly, the increase of ROS level caused by salinity also activates AtWRKY57, and consistently, HaWRKY57 was highly expressed under treatment of 300 mM NaCl in sunflower roots. These results indicated that HaWRKY57 might share similar functions with AtWRKY57 in sunflower under drought and salinity. AtWRKY15 is another WRKY gene induced by ROS, but will make Arabidopsis more susceptible to osmotic stress and oxidative stress [40]. In our study, HaWRKY79, the orthologous of AtWRKY15, was significantly suppressed in sunflower roots under treatment of NaCl, implying their similar roles in conferring salt tolerance. The parasitic weed Orobanche cumana is a new emerged threat to sunflower production worldwide. Previous studies proposed that O. cumana deployed effectors in sunflower to suppress host defense responses and resistant sunflower cultivars recognized effectors with the help of R proteins to activate effector-triggered immunity. WRKY family has been found to be involved in the microbe-associated molecular pattern-triggered immunity, PAMP-triggered immunity or effector-triggered immunity [7]. Thus, it is worthy of studying WRKY genes in sunflower against O. cumana. According to our transcriptome data, HaWRKY7/15/44/45/68/71/72/76/85 were specifically induced in sunflower resistant cultivar under attack of O. cumana, whereas repressed in susceptible cultivar during same interactions, indicating their potential roles in conferring resistance to sunflower against O. cumana.

Conclusion

In this study, we identified 90 WRKY genes from Helianthus annuus L. and characterized their structure, duplication, chromosomal distribution, phylogenetic tree, followed by tissue-differential gene expression and differential expression in response to biotic and abiotic stress. HaWRKY genes within same group or subgroup generally showed similar exon-intron structures and motif compositions. Synteny analyses of sunflower WRKY genes provided deep insight to the evolution of HaWRKY genes. The expressions of HaWRKY genes suggested that most of the 23 selected HaWRKY genes were found to play an important role in regulating PEG and salt stress and 9 genes including HaWRKY 7/15/44/45/68/71/72/76/85 from 90 HaWRKY genes have potential roles against O. cumana infection. Taken together, this study provides a good basis for further investigation of the biological functions and evolution of HaWRKY genes.

Primers for qRT-PCR.

(DOCX) Click here for additional data file.

Basic information regarding the presence of WRKY genes in sunflower.

(DOCX) Click here for additional data file.

Corresponding gene names.

(DOCX) Click here for additional data file. 9 Oct 2020 PONE-D-20-29683 Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses PLOS ONE Dear Dr. Ling Xu, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== Spellings and English language needs to be checked thoroughly. Overall, drafting of many sentences need to be improved. Tidying up the text is also suggested. I agree with the reviewer that some changes/clarification are needed in Conclusion and M&M section. ============================== Please submit your revised manuscript by 09/09/2020. 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The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors conducted a genome-wide analysis of WRKY gene family in sunflower under drought, salt and weed stresses. The genes were characterized by phylogenetic analysis, gene structure and motif analysis, and expression analysis. Synteny analysis of the genes between sunflower and two other species, rice and Arabidopsis, were also done to understand the evolutionary aspects. The article is well-written. I would recommend publication upon minor revisions as indicated below: Line 26: add a comma after “WKKY group”; add “the” before “same group” Line 33: the last sentence could change into ”Those functional genes related to stress tolerance and quality improvement could be applied in marker assisted breeding of the crop”. Line 86: add a comma after “abiotic constraints” Line 92: Asteraceae should not be italic, please change into “Asteraceae family” Line 167-169: the sentence “For biotic stress, common sunflower cultivars TK0409 (susceptible) and JY207 (resistant), and root parasitic weed Orobanche cumana were applied” is not clear. Do you mean: “For biotic stress, root parasitic weed Orobanche cumana were applied to common sunflower cultivars TK0409 (susceptible) and JY207 (resistant)”? Line 194-203: please also indicate if house-keeping genes were used as reference for the qPCR, and if yes, what genes are used? Line 332: please change “23” into “Twenty-three” Line 370: please delete “fortunately” Line 375: please delete “results” at the end of the line Conclusion section: please also indicate here what HaWRKY genes (and/or how many) are the most important for each of the biotic or abiotic stresses. Fig. 4 legend: “On the right side, Different motifs…” please change “Different” into “different”. Reviewer #2: Comment of Reviewer In the manuscript “Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses”, Li et al. identified WRKY family genes in sunflower and renamed them according to their locations on 25 chromosomes. They classified them into four main groups including a species-specific WKKY group using phylogenetic analyses, and they provided deep insight to the evolution of HaWRKY genes in sunflower by synteny analyses. Through transcriptomic and qRT-PCR analyses, they displayed distinct expression patterns of HaWRKY genes in different tissues, and under various abiotic and biotic stresses, which provide a foundation for further functional analyses of these genes. This manuscript provides compelling evidence that HaWRKY family genes are associated with the development of the sunflower, as well as various abiotic and biotic stresses responsive, and provides a foundation for further functional analyses of HaWRKY genes. By using a non-standard genetic model like sunflower, the authors also help diversify studies in plant development. Please find my comments on the manuscript below. 1. Abstract is generally well-written but lacks some important data of the results. 2. Figure 7 and 8: Student’s t-test is fine here, but I suggest using Tukey’s HSD test to test all comparisons. This will help to show if 10% and 20% PEG, as well as 15mM and 30mM NaCl lines are different from each other, rather than just comparing to CK. 3. Line 53 “Functional analyses show that WRKY…” should be “Functional analyses showed that WRKY g…”. 4. In Materials and Methods part, some paragraph should could be more concise such as plant materials, growth conditions and treatments section. 5. The English writing should be substantially improved. Many sentences are illogical and cannot be understandable. 6. Overall: Add test statistics and p-values where significance is mentioned in text. 7. Overall: Italicize gene names. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. 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Please note that Supporting Information files do not need this step. 20 Oct 2020 Responses addressing Reviewers’ Comments Comments of Reviewer #1: The authors conducted a genome-wide analysis of WRKY gene family in sunflower under drought, salt and weed stresses. The genes were characterized by phylogenetic analysis, gene structure and motif analysis, and expression analysis. Synteny analysis of the genes between sunflower and two other species, rice and Arabidopsis, were also done to understand the evolutionary aspects. The article is well-written. I would recommend publication upon minor revisions as indicated below: Detailed comments: Remark: Line 26: add a comma after “WKKY group”; add “the” before “same group” Answer: Thanks for your kind comments. We have added a full stop after “WKKY group”; and added “the” before “same group” in Line 28. We also have tried our best to improve the Abstract Section in red front. Remark: Line 33: the last sentence could change into “Those functional genes related to stress tolerance and quality improvement could be applied in marker assisted breeding of the crop”. Answer: Many thanks for your kind suggestion. The last sentence has been changed into “Those functional genes related to stress tolerance and quality improvement could be applied in marker assisted breeding of the crop” expression in Line 41-42. Remark: Line 86: add a comma after “abiotic constraints” Answer: Thanks for your kind suggestion. We have added a comma after “abiotic constraints” in Line 93, and added “Moreover,” after the comma to improve the English. Remark: Line 92: Asteraceae should not be italic, please change into “Asteraceae family” Answer: Thank you for your kind comment. In the revised manuscript, “Asteraceae” has been changed into “Asteraceae family” in Line 99 in red font. Moreover, the italic “Asteraceae” was also changed into “Asteraceae” in Line 387. Remark: Line 167-169: the sentence “For biotic stress, common sunflower cultivars TK0409 (susceptible) and JY207 (resistant), and root parasitic weed Orobanche cumana were applied” is not clear. Do you mean: “For biotic stress, root parasitic weed Orobanche cumana were applied to common sunflower cultivars TK0409 (susceptible) and JY207 (resistant)”? Answer: Thanks for your kind suggestion. We have changed this sentence into “For biotic stress, root parasitic weed Orobanche cumana were applied to common sunflower cultivars TK0409 (susceptible) and JY207 (resistant)” in Line 169-171. Remark: Line 194-203: please also indicate if house-keeping genes were used as reference for the qPCR, and if yes, what genes are used? Answer: Thanks for your kind comment. ACT1, a house-keeping gene was used as reference for the qPCR. In the revised manuscript, we have added “and the ACT1 was selected as the reference gene.” after “The 2−ΔΔCt method with three replications was performed for analysis” in Line 202-203. We also have revised accordingly in the Supplementary Table S1. Remark: Line 332: please change “23” into “Twenty-three” Answer: Thanks for your kind suggestion. We have changed the number “23” into “Twenty-three” in Line 334. Remark: Line 370: please delete “fortunately” Answer: Thanks for your kind suggestion. We deleted “fortunately” in Line 378 between “and” and “we”. Remark: Line 375: please delete “results” at the end of the line Answer: Thanks for your kind suggestion. We deleted “results” at the end of Line 383. Remark: Conclusion section: please also indicate here what HaWRKY genes (and/or how many) are the most important for each of the biotic or abiotic stresses. Answer: Thank you for your kind comment. In the revised manuscript, we have tried our best to make the conclusion more specific. The sentence “The expressions of HaWRKY genes suggested that these genes could be involved in the regulation of sunflower growth and development, as well as various abiotic and biotic stresses” has been changed into “The expressions of HaWRKY genes suggested that most of the 23 selected HaWRKY genes were found to play an important role in regulating PEG and salt stress and 9 genes including HaWRKY 7/15/44/45/68/71/72/76/85 from 90 HaWRKY genes have potential roles against O. cumana infection” in Line 495-498. Remark: Fig. 4 legend: “On the right side, Different motifs…” please change “Different” into “different”. Answer: Thanks for your kind comment. The legend of Fig. 4 “On the right side, Different motifs…” has been changed into “On the right side, different motifs…”. Comments of Reviewer #2: In the manuscript “Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses”, Li et al. identified WRKY family genes in sunflower and renamed them according to their locations on 17 chromosomes. They classified them into four main groups including a species-specific WKKY group using phylogenetic analyses, and they provided deep insight to the evolution of HaWRKY genes in sunflower by synteny analyses. Through transcriptomic and qRT-PCR analyses, they displayed distinct expression patterns of HaWRKY genes in different tissues, and under various abiotic and biotic stresses, which provide a foundation for further functional analyses of these genes. This manuscript provides compelling evidence that HaWRKY family genes are associated with the development of the sunflower, as well as various abiotic and biotic stresses responsive, and provides a foundation for further functional analyses of HaWRKY genes. By using a non-standard genetic model like sunflower, the authors also help diversify studies in plant development. Please find my comments on the manuscript below. Remark 1: Abstract is generally well-written but lacks some important data of the results. Answer: Thanks for your kind suggestion. We have added the important results in the Abstract Section such as “Sunflower (Helianthus annuus L.) is one of the important vegetable oil supplies in the world.” In Line 23-24, and “The dN/dS ratio of these duplicated gene pairs were also calculated to understand the evolutionary constraints.” In Line 35-36.We also have revised “The tandem and segmental duplication possibly contributed to the diversity and expansion of HaWRKY gene families” into “The gene duplication analysis showed that five pairs of HaWRKY genes (HaWRKY8/9, HaWRKY53/54, HaWRKY65/66, HaWRKY66/67 and HaWRKY71/72) are tandem duplicated and four HaWRKY gene pairs (HaWRKY15/82, HaWRKY25/65, HaWRKY28/55 and HaWRKY50/53) are also identified as segmental duplication events, indicating that these duplication genes were contribute to the diversity and expansion of HaWRKY gene families in Line 30-35. Remark 2: Figure 7 and 8: Student’s t-test is fine here, but I suggest using Tukey’s HSD test to test all comparisons. This will help to show if 10% and 20% PEG, as well as 15mM and 30mM NaCl lines are different from each other, rather than just comparing to CK. Answer: Thanks for your kind comment. In the revised manuscript, we have reanalyzed the significant expression levels of different HaWRKY genes under different treatments carefully by Tukey’s HSD test in Fig. 7 and Fig. 8. It is important to test all comparisons, especially for different concentrations of PEG and NaCl treatments. We also have changed “Student’s t-test” into “Tukey’s HSD test” in Materials and Methods section in Line 204. Remark 3: Line 53 “Functional analyses show that WRKY…” should be “Functional analyses showed that WRKY g…”. Answer: Thanks for your kind suggestion. The sentence “Functional analyses show that WRKY…” has been changed into “Functional analyses showed that WRKY g…”in Line 60. Remark 4: In Materials and Methods part, some paragraph could be more concise such as plant materials, growth conditions and treatments section. Answer: Thanks for your kind comment. We have revised “The seeds were germinated and grown in peat moss. At the five-leaf stage, seedlings with uniform size were selected for hydroponics in a half-strength Hoagland nutrient solution (pH=6.0). ” into “The seeds were germinated and grown in peat moss according to our previous study [32].” in Line 162 and cited the related literature. We also changed “The treatment concentrations were selected based on our preliminary experiments, in which 0, 100, 200, 300, 400 and 600 mM of NaCl were used. Little damage, significant damage and plant death were observed when the concentration of NaCl reached 100 mM, 300 mM, and over 300 mM, respectively. The concentrations of simulated drought stress were selected similarly.” into “The treatment concentrations were selected based on our preliminary experiments [32].” in Line 165-166. Remark 5: The English writing should be substantially improved. Many sentences are illogical and cannot be understandable. Answer: Thanks for your kind suggestion. We have tried our best to improve the manuscript. We revised “Data were transformed with a log2 (FPKM+1) transformation” into “Data were transformed by log2 (FPKM+1)” in Line 186. We deleted “in this WKKY group” between “distributed genes” and “into group I, II and III” in Line 224. We added “ten” between “all” and “tissues” in Line 320, which could make the expression much more specific. We have substantially improved the manuscript, especially the Results section in Line 339-354, which will make the manuscript much more clear and understandable. We also have changed “We identified 90 WRKY genes from Helianthus annuus L. and they were classified into four main groups including a species-specific WKKY group.” into “In this study, we identified 90 WRKY genes from Helianthus annuus L. and characterized their structure, duplication, chromosomal distribution, phylogenetic tree, followed by tissue-differential gene expression and differential expression in response to biotic and abiotic stress.” in Line 489-492. We have revised “This study provides a foundation for further functional analyses of HaWRKY genes” into “Taken together, this study provides a good basis for further investigation of the biological functions and evolution of HaWRKY genes” in Line 498-499 in Conclusion section. For detail, please refer to the revised manuscript in red front. Remark 6: Overall: Add test statistics and p-values where significance is mentioned in text. Answer: Thanks for your kind comment. We have added the test statistics and p-values where significance is mentioned in text. We changed “significantly up-regulated” into “significantly (P < 0.05) up-regulated by 46%/140% and 70%/51% compared with control, respectively.” In Line 339-340. We revised “no any changes of HaWRKY55/57 were observed in response to abiotic stresses” into “But no any significant (Tukey, P < 0.05) changes of HaWRKY55/57 were observed in response to abiotic stresses in all comparisons” in Line 340-341. We also changed “among them HaWRKY22/29/74 were significantly down-regulated only at high concentration of PEG. HaWRKY57/59/77/81/82/89 were significantly induced after treatment with PEG and HaWRKY30/35/38/48/55 were not sensitive to PEG in the roots.” into “For example, HaWRKY13/14/16/57/77 were significantly (P < 0.05) down-regulated under 10% and 20% drought stress, while HaWRKY29/74 were significantly (P < 0.05) down-regulated by 55% and 70% only at high concentration of PEG, as compared with control. The expression level of HaWRKY52 and HaWRKY89 were up-regulated by PEG, and 10% PEG significantly (P < 0.05) increased by 152% and 179% compared with control” in Line 343-349. Remark 7: Overall: Italicize gene names. Answer: Thanks for your kind suggestion. We have carefully checked all name of genes and italicized gene names in Line 336, 462, 573, 580, 583, 593, 619, 676, 678, and Line 683. We also have revised gene names accordingly in the Table 1 captions and the Supplementary Table S1 according to your suggestion. 26 Oct 2020 Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses PONE-D-20-29683R1 Dear Dr. Ling XU, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. 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If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have addressed all my review comments. I would recommend that the current version is ready for publication. Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Hui Liu Reviewer #2: No 17 Nov 2020 PONE-D-20-29683R1 Genome-wide characterization of WRKY gene family in Helianthus annuus L. and their expression profiles under biotic and abiotic stresses Dear Dr. Xu: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Basharat Ali Academic Editor PLOS ONE
  35 in total

1.  Overexpression of VvWRKY2 in tobacco enhances broad resistance to necrotrophic fungal pathogens.

Authors:  Rim Mzid; Chloé Marchive; Dominique Blancard; Laurent Deluc; François Barrieu; Marie-France Corio-Costet; Nourredine Drira; Saïd Hamdi; Virginie Lauvergeat
Journal:  Physiol Plant       Date:  2007-11       Impact factor: 4.500

2.  AtWRKY15 perturbation abolishes the mitochondrial stress response that steers osmotic stress tolerance in Arabidopsis.

Authors:  Sandy Vanderauwera; Korneel Vandenbroucke; Annelies Inzé; Brigitte van de Cotte; Per Mühlenbock; Riet De Rycke; Naïra Naouar; Tim Van Gaever; Marc C E Van Montagu; Frank Van Breusegem
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-19       Impact factor: 11.205

3.  Arabidopsis WRKY Transcription Factors WRKY12 and WRKY13 Oppositely Regulate Flowering under Short-Day Conditions.

Authors:  Wei Li; Houping Wang; Diqiu Yu
Journal:  Mol Plant       Date:  2016-09-01       Impact factor: 13.164

4.  MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity.

Authors:  Yupeng Wang; Haibao Tang; Jeremy D Debarry; Xu Tan; Jingping Li; Xiyin Wang; Tae-ho Lee; Huizhe Jin; Barry Marler; Hui Guo; Jessica C Kissinger; Andrew H Paterson
Journal:  Nucleic Acids Res       Date:  2012-01-04       Impact factor: 16.971

5.  SMART 7: recent updates to the protein domain annotation resource.

Authors:  Ivica Letunic; Tobias Doerks; Peer Bork
Journal:  Nucleic Acids Res       Date:  2011-11-03       Impact factor: 16.971

6.  Comparative genomic analysis of the WRKY III gene family in populus, grape, arabidopsis and rice.

Authors:  Yiyi Wang; Lin Feng; Yuxin Zhu; Yuan Li; Hanwei Yan; Yan Xiang
Journal:  Biol Direct       Date:  2015-09-08       Impact factor: 4.540

7.  InterProScan 5: genome-scale protein function classification.

Authors:  Philip Jones; David Binns; Hsin-Yu Chang; Matthew Fraser; Weizhong Li; Craig McAnulla; Hamish McWilliam; John Maslen; Alex Mitchell; Gift Nuka; Sebastien Pesseat; Antony F Quinn; Amaia Sangrador-Vegas; Maxim Scheremetjew; Siew-Yit Yong; Rodrigo Lopez; Sarah Hunter
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

8.  CDD/SPARCLE: functional classification of proteins via subfamily domain architectures.

Authors:  Aron Marchler-Bauer; Yu Bo; Lianyi Han; Jane He; Christopher J Lanczycki; Shennan Lu; Farideh Chitsaz; Myra K Derbyshire; Renata C Geer; Noreen R Gonzales; Marc Gwadz; David I Hurwitz; Fu Lu; Gabriele H Marchler; James S Song; Narmada Thanki; Zhouxi Wang; Roxanne A Yamashita; Dachuan Zhang; Chanjuan Zheng; Lewis Y Geer; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

9.  Pfam: the protein families database.

Authors:  Robert D Finn; Alex Bateman; Jody Clements; Penelope Coggill; Ruth Y Eberhardt; Sean R Eddy; Andreas Heger; Kirstie Hetherington; Liisa Holm; Jaina Mistry; Erik L L Sonnhammer; John Tate; Marco Punta
Journal:  Nucleic Acids Res       Date:  2013-11-27       Impact factor: 16.971

10.  Elucidating the evolutionary conserved DNA-binding specificities of WRKY transcription factors by molecular dynamics and in vitro binding assays.

Authors:  Luise H Brand; Nina M Fischer; Klaus Harter; Oliver Kohlbacher; Dierk Wanke
Journal:  Nucleic Acids Res       Date:  2013-08-23       Impact factor: 16.971

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  2 in total

1.  Time-course transcriptome and WGCNA analysis revealed the drought response mechanism of two sunflower inbred lines.

Authors:  Yang Wu; Yaru Wang; Huimin Shi; Haibo Hu; Liuxi Yi; Jianhua Hou
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

2.  WRKY genes provide novel insights into their role against Ralstonia solanacearum infection in cultivated peanut (Arachis hypogaea L.).

Authors:  Lei Yan; Haotian Jin; Ali Raza; Yang Huang; Deping Gu; Xiaoyun Zou
Journal:  Front Plant Sci       Date:  2022-09-20       Impact factor: 6.627

  2 in total

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