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PLOS ONE logoLink to PLOS ONE
. 2020 Mar 16;15(3):e0226055. doi: 10.1371/journal.pone.0226055

Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer

Jing Chen 1,2,#, Yuanhang Zhou 1,#, Qi Zhang 1, Qian Liu 1, Li Li 1, Chunyu Sun 1,2, Kangyu Wang 1,2, Yanfang Wang 2,3, Mingzhu Zhao 1,2, Hongjie Li 1, Yilai Han 1, Ping Chen 1, Ruiqi Li 1, Jun Lei 1, Meiping Zhang 1,2,*, Yi Wang 1,2,*
Editor: Anil Kumar Singh4
PMCID: PMC7075567  PMID: 32176699

Abstract

The APETALA2/Ethylene Responsive Factor (AP2/ERF) gene family has been shown to play a crucial role in plant growth and development, stress responses and secondary metabolite biosynthesis. Nevertheless, little is known about the gene family in ginseng (Panax ginseng C.A. Meyer), an important medicinal herb in Asia and North America. Here, we report the systematic analysis of the gene family in ginseng using several transcriptomic databases. A total of 189 putative AP2/ERF genes, defined as PgERF001 through PgERF189, were identified and these PgERF genes were spliced into 397 transcripts. The 93 PgERF genes that have complete AP2 domains in open reading frame were classified into five subfamilies, DREB, ERF, AP2, RAV and Soloist. The DREB subfamily and ERF subfamily were further clustered into four and six groups, respectively, compared to the 12 groups of these subfamilies found in Arabidopsis thaliana. Gene ontology categorized these 397 transcripts of the 189 PgERF genes into eight functional subcategories, suggesting their functional differentiation, and they have been especially enriched for the subcategory of nucleic acid binding transcription factor activity. The expression activity and networks of the 397 PgERF transcripts have substantially diversified across tissues, developmental stages and genotypes. The expressions of the PgERF genes also significantly varied, when ginseng was subjected to cold stress, as tested using six PgERF genes, PgERF073, PgERF079, PgERF110, PgERF115, PgERF120 and PgERF128, randomly selected from the DREB subfamily. This result suggests that the DREB subfamily genes play an important role in plant response to cold stress. Finally, we studied the responses of the PgERF genes to methyl jasmonate (MeJA). We found that 288 (72.5%) of the 397 PgERF gene transcripts responded to the MeJA treatment, with 136 up-regulated and 152 down-regulated, indicating that most members of the PgERF gene family are responsive to MeJA. These results, therefore, provide new resources and knowledge necessary for family-wide functional analysis of the PgERF genes in ginseng and related species.

Introduction

Plants are subjected to numerous biotic and abiotic stresses all time through their growth and development. Therefore, they have developed a variety of mechanisms by producing secondary signaling molecules (e.g., ethylene and jasmonic acid) and responsive networks at the molecular, biochemical and physiological levels to perceive the external signals from the stresses and to response to the stresses [1]. It has been documented that a large number of genes are involved in these processes [2]. Therefore, it is important to decipher the regulatory mechanisms of the defense-related genes involved in the signal transduction pathways and the plant responses to these stresses for enhanced plant genetic improvement [3]. The APETALA2/Ethylene Responsive Factor (AP2/ERF) transcription factors have been demonstrated to be one of the most important gene families actively functioning in plant response to biotic and abiotic stresses by binding to cis-acting elements of downstream target genes [4].

The AP2/ERF family has one or two conserved APETALA2 (AP2) domains having 60–70 amino acids [5]. Based on the number and amino acid sequence similarities of the AP2 domains, the AP2/ERF family is divided into the DREB (dehydration responsive element binding), ERF, AP2, RAV (Related to ABI3/VP1) and Soloist subfamilies [6,7]. Both DREB and ERF subfamilies possess a single AP2 domain, with a specific WLG motif, and could be subdivided into A1 to A6 and B1 to B6 groups, respectively [6]. Alternatively, the DREB and ERF subfamilies were categorized into I to VI, and V to X, VI-L and Xb-L groups, respectively [7]. The AP2 subfamily has two tandemly repeated AP2 domains, while the RAV subfamily has one AP2 domain and one B3 domain that are commonly found in other transcription factors [8]. The Soloist subfamily also has only one AP2 domain. It was classified into an independent subfamily due to its relatively low sequence homology with the DREB and ERF subfamilies [9]. Although the AP2 domain of the AP2/ERF family is highly conserved, its five subfamilies, DREB, ERF, AP2, RAV and Soloist, recognize different DNA cis-acting elements and exhibit substantial functional diversity [10]. Specifically, the members of the AP2 subfamily bind to the GCAC(A/G)N(A/T)TCCC(A/G)ANG(C/T) element and regulate developmental processes of different plant tissues, e.g., embryo, flower, sepal and fruit [1113]. The RAV1 gene of the RAV subfamily was reported to bind to CAACA and CACCTG motifs in Arabidopsis thaliana (Arabidopsis) [14]. The roles of the RAV subfamily in plant development and responses to various biotic and abiotic stresses were investigated in several plant species [1517]. The only gene of the Soloist subfamily in Arabidopsis, APD1 (At4g13040), worked as a positive regulator of disease defense by up-regulating the accumulation of salicylic acid (SA) [18]. The members of the ERF subfamily typically bind to the cis-acting element GCC-box and are involved in the signaling pathways of plant hormone, e.g., ethylene (ET), SA, jasmonic acid (JA) and abscisic acid (ABA), and play an important role in both plant growth and development and response to stresses [1921]. On the other hand, the DREB subfamily recognizes the conserved CCGAC motif of the dehydration-responsive element present in stress-responsive genes and is associated with plant response to abiotic stresses [2224].

The AP2/ERF family has been well characterized in the model plant species, Arabidopsis [6,7] and Medicago truncatula [25], and several crops, such as rice [7], maize [26], soybean [27], Chinese cabbage [10], grapevine [28] and Populus trichocarpa [29]. However, little is known about the AP2/ERF family in the medicinal herb, ginseng (Panax ginseng C.A. Meyer). Ginseng is a perennial of the Araliaceae family and has long been cultivated for human medicine in North America and Asia, particularly in China, Korea, and Japan. Ginseng, known as the “king of all herbs” in China, is mainly cultivated in Jilin Province; therefore, it is often known as Jilin ginseng. Ginseng has been widely used as a medicinal herb due to its bioactive components, especially ginsenosides that have been shown to play significant roles in anti-inflammation [30,31], anti-tumor [32], and immunomodulation [33]. However, ginseng has been suffering from various biotic and abiotic stresses, which is greatly threating its production. Therefore, identification, characterization and utilization of the defense-related genes in ginseng are of significance for ginseng breeding and production. In the present study, we comprehensively studied the AP2/ERF family in Jilin ginseng in several aspects, including gene identification, protein motif characterization, functional categorization and phylogenetic analysis. Moreover, the expression activities and patterns of AP2/ERF genes were also investigated at different developmental stages, in different tissues, different cultivars, under cold stress and under the methyl jasmonate (MeJA) treatment. The results of these studies have laid the foundation for deep functional analysis and utilization of the genes of the AP2/ERF family and provided vital information on the molecular mechanism of plant response to biotic and abiotic stresses in ginseng and related plant species.

Materials and methods

Databases

We previously established a comprehensive transcriptome for Jilin ginseng from 14 tissues (fiber root, leg root, main root epiderm, main root cortex, rhizome, arm root, stem, leaf peduncle, leaflet pedicel, leaf blade, fruit peduncle, fruit pedicel, fruit flesh, and seed), from which 248,993 transcript unigenes (130,557 gene IDs) were assembled [34]. Moreover, we also sequenced and established the databases for the root transcriptomes sampled from 5-, 12-, 18- and 25-year-old plants [34] and four-year-old plants of 42 genotypes (named from S1 to S42) representing the diversity of Jilin ginseng [35]. In this study, a ginseng line IR826 genome sequence database [36] and a Ginseng Genome Database (http://ginsengdb.snu.ac.kr/index.php) [37] were also used. In addition, a transcriptome database of the adventitious roots of ginseng cv. Cheongsun treated with 200 μM MeJA for 0, 12, 24 and 48 h, respectively [38], was consulted. These databases all could be retrieved through their publications as indicated above.

Identification of PgERF genes in ginseng

To identify the genes of the AP2/ERF family in ginseng, the Hidden Markov Model (HMM) profile of the AP2/ERF domain (Pfam: PF00847) and the protein sequences of the AP2/ERF genes downloaded from NCBI (http://blast.ncbi.nlm.nih.gov/Blast) were used to query the 248,993 Jilin ginseng transcript unigenes [34] by TBLASTN at E-value ≤ le-6. The obtained sequences were then used as queries to search for homologs in the ginseng line IR826 genome database [36]. Furthermore, TBLASTN was performed again to search the 248,993 transcript unigenes [34] using the homologs as queries with E-value ≤ le-6 to maximize identification of the AP2/ERF genes in ginseng. The identified AP2/ERF gene homologues were defined as PgERF for the AP2/ERF genes in ginseng and extracted by a Perl programming software. Finally, the predicted PgERF genes were analyzed by the conserved domain database (CDD) (http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi) and the ORF Finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html) at NCBI.

Multiple sequence alignment and phylogenetic analysis of PgERF genes

The 93 PgERF genes that have complete AP2 domains have been selected and their AP2 domains were aligned using the ClustalW program [39]. A phylogenetic tree was constructed from the 93 PgERF genes that represent the AP2/ERF family in ginseng with 147 AtERF genes previously identified and annotated in Arabidopsis [7]. The phylogenetic tree was constructed using MEGA 5.0 by the Neighbor-Joining (NJ) and the Maximum Likelihood (ML) methods, respectively, with 1,000 bootstrap replications, using the Poisson correction model and the pairwise deletion [40].

Motif prediction of PgERF genes

The putative protein sequences of the 93 PgERF genes used for construction of the AP2/ERF family phylogenetic tree were subjected to the online software, MEME (multiple EM for motif elicitation, V5.0.3) (http://meme-suite.org/tools/meme) [41] to identify their conserved motifs. Motif length was set to 6–50 amino acids and the maximum number of motifs was set to 25, while other parameters were set as default.

Expression and functional networks of PgERF genes

The expression profiles of all putative transcripts of PgERF genes identified above were extracted by a Perl programming software from the above four transcriptome databases: (1) the 14 tissues of a four-year-old Jilin ginseng plant, (2) the roots of Jilin ginseng 5-, 12-, 18- and 25-year-old plants, (3) the four-year-old roots of 42 Jilin ginseng genotypes and (4) the ginseng cv. Cheongsun adventitious roots treated with 200 μM MeJA for 0, 12, 24 and 48 h, respectively. The expression profiles of the putative transcripts of PgERF genes were measured as transcripts per million (TPM) and visualized by expression heatmap using the R programming language and software (http://www.r-project.org/, V3.3.3). Finally, the co-expression networks of these PgERF gene transcripts were constructed and analyzed among different tissues and different genotypes of Jilin ginseng using the BioLayout Express3D software (Version 3.2) [42]. The Pearson’s correlation coefficients of expression between genes were used for the co-expression network construction at a two-tailed significance level of p ≤ 0.05 or lower.

Expression activity of PgERF genes responding to cold stress

One gram of equivalent ginseng hair roots were freshly cut from mature hair roots and cultured in 250 ml 1/2 Murashige and Skoog (MS) medium in dark at 22°C for 30 days. Then, the 30-day-old hair root culture was subjected to cold stress at 4°C for 0 h, 6 h, 24 h, 48 h and 72 h, respectively, with three replications per time point. Afterwards, the ginseng hair roots were harvested, frozen in liquid nitrogen and stored at -80°C for RNA isolation and quantitative real-time PCR (qRT-PCR) analysis. Total RNA was extracted by TRIzol reagent (Bioteke, Beijing, China) and reverse-transcribed into cDNA using a PrimeScript RT reagent Kit with gDNA Eraser (TaKaRa, Tokyo, Japan). qRT-PCR was performed for six PgERF genes, PgERF073, PgERF079, PgERF110, PgERF115, PgERF120 and PgERF128, that were randomly selected from the DREB subfamily. The PgGADPH gene was used as the internal reference. The gene-specific primers for qRT-PCR were designed by Primer Premier Software (version 5) (S1 Table). The qRT-PCR was conducted by Applied Biosystems 7500 Real Time PCR System (Thermo Fisher Scientific, Waltham, USA) and SYBR Premix Ex Taq II (TaKaRa, Tokyo, Japan). The qRT-PCR was performed using the following steps: 30 seconds at 95°C; 40 cycles of 5 seconds at 95°C and 34 seconds at 60°C; one cycle of 15 seconds at 95°C and 60 seconds at 60°C; 15 seconds at 95°C. All the experiments were amplified in triplicate. The relative expression levels of these genes were calculated using formula 2−ΔΔCт [43]. The expression levels of each gene were compared among different time points of the cold treatment by analysis of variance (ANOVA), followed by least significance difference (LSD).

Results

Identification and classification of PgERF genes

A total of 397 transcripts that were derived from 189 predicted PgERF genes, including those containing a partial or complete AP2/ERF domain, were identified. These PgERF genes were defined PgERF001 to PgERF189, with a suffix (e.g., -1) for different transcripts derived from the same gene (S2 Table). Then, the sequences of 342 AP2/ERF gene transcripts downloaded from the Ginseng Genome Database (http://ginsengdb.snu.ac.kr/index.php) were aligned with 397 transcripts identified in this study with identity≥95%, alignment length≥200 bp (about AP2 maximum domain length). As a result, 302 (76%) of the 397 transcripts identified in this study that were spliced from 138 (73%) of the 189 PgERF genes were similar to 266 (78%) of the 342 transcripts of the AP2/ERF genes from the Ginseng Genome Database (S1 Fig and S3 Table). However, the remaining 51 (27%) PgERF genes whose sequences were quite different from the Korean ginseng AP2/ERF genes were considered as newly discovered AP2/ERF genes in ginseng (S1 Fig and S3 Table). The PgERF gene transcripts identified in this study had nucleotide sequences ranging from 203 bp to 2,897 bp, with an average length of 1,216 bp. Of the 397 PgERF gene transcripts, 176 that were spliced from 96 PgERF genes had partial AP2 domains or complete AP2 domains but being outside of ORFs. The remaining 221 PgERF transcripts, derived from 93 PgERF genes, had complete AP2 domains within ORFs. Therefore, these 221 PgERF transcripts were further analyzed. The 221 PgERF gene transcripts encode putative proteins with a length varying from 96 to 561 amino acids, with an average length of 256 amino acids (S4 Table). Analysis using the ExPASy Server showed that these putative proteins had an isoelectric point between 4.43 (PgERF025) and 11.12 (PgERF180) and a molecular mass ranging from 11.00 kDa (PgERF140) to 62.83 kDa (PgERF159) (S4 Table).

Sakuma et al. [6] classified the Arabidopsis AP2/ERF family into five subfamilies, ERF, DREB, AP2, RAV and Soloist. We also classified the 93 PgERF genes whose transcripts had complete AP2 domains within ORFs into these five subfamilies, according to the structures and the number of AP2/ERF domains. These five PgERF subfamilies, ERF, DREB, AP2, RAV and Soloist, contained 27, 48, 14, 2 and 2 genes, respectively (Fig 1). Specifically, two genes, PgERF035 and PgERF084, were classified into the Soloist subfamily due to their low homology with the remaining AP2/ERF genes and their high homology with the Arabidopsis Soloist subfamily gene, AT4G13040. The PgERF112 gene was the only one that codes one AP2/ERF domain with one B3 domain; therefore, it was classified into the RAV subfamily. Moreover, PgERF171 was also classified into the RAV subfamily, even though it does not contain the B3 domain, because it has a high homology with the Arabidopsis RAV subfamily genes, AT1G51120 and AT1G50680. As seven PgERF genes, PgERF062, PgERF089, PgERF134, PgERF135, PgERF142, PgERF148 and PgERF159, contain two repeated AP2/ERF domains, they were classified into the AP2 subfamily. In addition, another seven PgERF genes, including PgERF020, PgERF045, PgERF048, PgERF076, PgERF101, PgERF132 and PgERF140, were also classified into the AP2 subfamily as they have high sequence similarity with the members of the AP2 subfamily, even though they do not contain two repeated AP2/ERF domains. Of the 75 remaining PgERF genes, 48 and 27 were classified into the ERF and DREB subfamilies, respectively (Fig 1). Moreover, the DREB and ERF subfamilies of ginseng were each further divided into six groups, A1 through A6 and B1 through B6, respectively, or these two subfamilies were subdivided into four groups, from I to IV, and six groups, from V to X, respectively, but none of these genes were subdivided into the groups, VI-L and Xb-L, as were for the Arabidopsis AP2/ERF family, based on Nakano et al. [7] (Fig 1).

Fig 1. Phylogenetic tree of the AP2/ERF gene family present in ginseng and Arabidopsis.

Fig 1

The amino acid sequences of the AP2 domain were aligned using Clustal W and the phylogenetic tree was constructed using neighbor-joining method.

Phylogenetic analysis of the PgERF gene family

To determine the phylogeny of the PgERF gene family, the 93 PgERF genes whose transcripts had complete AP2 domains were used. The phylogenetic tree was constructed with the NJ and ML methods, respectively. The NJ phylogenetic tree showed that the PgERF gene family was apparently classified into five clades, corresponding to ERF, DREB, AP2, RAV and Soloist subfamilies, with the DREB subfamily clustered into four subclades, corresponding to the I, II, III and IV groups and the ERF subfamily clustered into eight subclades, corresponding to V, VI, VII, VIII, IX, X, Xb-L and VI-L groups. The Xb-L and VI-L groups of the ERF subfamily only consisted of AtERF genes, suggesting that the ginseng ERF subfamily consisted of only six groups (V–X) (Fig 1). The ML tree (S2 Fig) was essentially the same as the NJ tree, even though the six groups (V–X) of the ERF subfamily were separately distributed in the tree, due to their low bootstrap confidences for both the NJ and ML trees (Fig 1; S2 Fig). When the Arabidopsis AtERF genes that were used as the references were examined, they were distributed in every clade and subclade of the PgERF gene family tree. Given that Arabidopsis was clustered into a different clade from ginseng in the phylogenetic tree of dicot plant species [35], this result suggested that the PgERF gene family is an ancient gene family and originated before ginseng diverged from Arabidopsis.

Motif identification and multiple sequence alignment

Next, the 93 PgERF genes were subjected to conservative analysis for the conserved motifs of their proteins (Fig 2; S3 Fig). A total of 25 conserved motifs were identified for the putative proteins of the 93 PgERF genes and were herein designated as Motif 1 through Motif 25. Motif 1 to Motif 6 were located in the AP2/ERF domain and the remaining 19 motifs, including Motif 7 through Motif 25, were found outside of the AP2/ERF domain. The PgERF proteins encoded by gene members of the same subfamily or group contained similar conserved motifs. For example, Motifs 4, 7, 15, 16, 17, 21 and 25 were specifically shared by gene members of the AP2 subfamily. Motifs 14 and 18 were specifically present in the genes of Group I, while Motifs 9 and 20 were only present in the Group III gene members of the ERF subfamily. Motifs 10, 11, 12, 13, and 19 were specific for the DREB subfamily and absent in all four other subfamilies (ERF, AP2, RAV and Soloist subfamilies). These results suggested that most of the 25 motifs were divergent among subfamilies or groups, which might play an important role in their functional divergence [25].

Fig 2. Distribution of conserved motifs among the gene members of the PgERF family.

Fig 2

Each motif is represented by a colored box. Box length corresponds to the motif length.

As the featured sequences within the specific domains of transcription factors are critical to their functions [44], the conserved amino acid residues of the AP2 domains were identified for the genes of both DREB and ERF subfamilies. By aligning the amino acid sequences of the AP2 domains of these two subfamilies in ginseng and Arabidopsis, 14 conserved amino acid residues, including 4G, 6R, 8R, 15W, 16V, 18E, 20R, 22P, 39W, 40L, 49A, 52A, 54D and 72N, and 11 conserved amino acid residues, including 4G, 6R, 8R, 11G, 17I, 30R, 42A, 46Y, 47D, 55G and 63F, were identified for the DREB and ERF subfamilies, respectively (S4 and S5 Figs). Besides, all gene members of the DREB subfamily and ERF subfamily obviously contained the two featured conserved elements, including YRG and RAYD, in their AP2 domains.

Functional categorization of the PgERF genes

To estimate the functional differentiation of the PgERF family, all 397 transcripts of the 189 PgERF genes identified in this study were annotated and functionally categorized using the Blast2GO software (Version 4.1.9) [45]. Surprisingly, only 195 (49%) of the PgERF gene transcripts could be annotated, while the remaining 202 could not be annotated using the database of the Blast2GO software, suggesting the uniqueness of the PgERF genes in ginseng. The annotated PgERF gene transcripts were categorized into all three primary gene ontology (GO) categories, molecular function (MF), biological process (BP) and cellular component (CC) (Fig 3A). Of the 195 PgERF transcripts, 186 (95%) were categorized into all the three primary categories, MF, BP and CC. Only one PgERF gene transcript, PgERF069, had functions in both BP and CC categories, while two PgERF transcripts, PgERF135-1 and PgERF135-3, and six PgERF transcripts, PgERF152-3, PgERF152-4, PgERF152-1, PgERF152-2, PgERF105-3 and PgERF087, were categorized into BP and CC, respectively. At Level 2, these 195 transcripts were further categorized into eight subcategories, including nucleic acid binding transcription factor activity, binding, metabolic process, cellular process, developmental process, organelle, cell part and cell (Fig 3B). Chi-square test showed that of the eight subcategories, three subcategories, including nucleic acid binding transcription factor activity, binding and cell part subcategories, have been significantly enriched, which is consistent with the transcription regulation functions of the ERF genes, while the abundances of the remaining five subcategories are either not changed or significantly reduced relative to the whole genome background control.

Fig 3. Functional categorization of the AP2/ERF gene family in ginseng.

Fig 3

(A) Venn diagram of the PgERF gene transcripts categorized into three primary categories, biological process (BP), molecular function (MF) and cellular component (CC). (B) The subcategories of the PgERF gene transcripts (Level 2). The enrichment of the PgERF gene transcripts in each subcategory was calculated using all the gene transcripts of ginseng as the background control. A single asterisk “*” indicates the significant difference of the number of PgERF gene transcripts categorized into the subcategory from that of all the gene transcripts of ginseng at P ≤ 0.05, while double asterisks “**” indicate the difference at a significance level of P ≤ 0.01.

Moreover, the PgERF transcripts expressed in the roots of 5-, 12-, 18- and 25-year-old plants, 14 tissues of a 4-year-old plant, and the roots of 4-year-old plants of 42 genotypes were further categorized (Fig 4). The PgERF transcripts expressed in differently-aged plant roots, different tissues and the roots of different genotypes were all categorized into these eight subcategories, suggesting that the functions of PgERF transcripts were consistent among developmental stages, tissues or genotypes. Nevertheless, a substantial variation of the categorization in the numbers of the PgERF transcripts categorized into these eight categories (Level 2) was observed across developmental stages, tissues or genotypes.

Fig 4. Variation in functional categories of the PgERF gene transcripts.

Fig 4

(A) Variation in functional categories among the roots of differently aged plants. (B) Variation in functional categories among 14 tissues of a 4-year-old plant. (C) Variation in functional categories among the 4-year-old plant roots of 42 genotypes.

Expression profiles and networks of the PgERF genes

To profile the activation patterns of PgERF genes, the expressions of all 397 transcripts were quantified in 5-, 12-, 18- and 25-year-old plant roots, 14 4-year-old plant tissues and the roots of 4-year-old plants of 42 genotypes. The expressions of the transcripts varied dramatically across developmental stages, tissues and genotypes, from silenced (0.0 TPM) to 586.3, 666.0 and 1,159.2 TPM, respectively. Of the 397 PgERF transcripts, 136 (34.3%), 98 (24.7%) and 83 (20.9%) expressed in all 5-, 12-, 18- and 25-year-old plant roots, all 14 4-year-old plant tissues and the roots of 4-year-old plants of all 42 genotypes, respectively (S5S7 Tables), while 53 (13.4%), 39 (9.8%) and 14 (3.5%) of the 397 transcripts were development-, tissue- and genotype-specific, respectively. Nevertheless, the expression of a transcript varied dramatically across developmental stages, tissues and genotypes.

Moreover, we constructed the heatmaps of the PgERF genes expressed at different developmental stages of roots, in different tissues, and across different genotypes to find out whether the expressions of the genes were co-regulated. The results showed that although the expression co-regulation was observed for some of the genes at a developmental stage, a single tissue or a genotype and across developmental stages, it was not apparent across tissues or genotypes (Fig 5). For instance, PgERF140-12, PgERF046, PgERF089-3, PgERF093-3, PgERF108-1, PgERF184, PgERF118-2 and PgERF170 were apparently co-regulated at a developmental stage and across developmental stages of roots (Fig 5A).

Fig 5. Expression heatmaps of the PgERF gene transcripts at different developmental stages, in different tissues and across genotypes.

Fig 5

(A) In the roots of different aged plants. (B) In the 14 tissues of a 4-year-old plant. (C) In the 4-year-old plant roots of 42 genotypes.

To determine the functional relationships of the PgERF genes, the co-expression networks of the PgERF transcripts were constructed for 14 tissues of a four-year-old plant and the four-year-old plant roots of 42 genotypes, respectively. Of the 397 PgERF gene transcripts, 364 (91.7%) formed a co-expression network (P ≤ 0.05) in the 14 tissues of the four-year-old plant (S6A Fig). The network consisted of 364 gene transcript nodes, 5,303 co-expression edges and 17 closer co-expression clusters (S6A and S6B Fig). Nevertheless, the tendency of this network formation had no substantial difference from that of the network formed from randomly selected ginseng gene transcripts (S6C and S6D Fig). In the four-year-old plant roots of different genotypes, 341 (85.9%) of the 397 PgERF gene transcripts formed a co-expression network (P ≤ 0.05), consisting of 341 gene transcript nodes, 5,606 co-expression edges and 24 clusters (Fig 6A and 6B). The tendency of this network formation was stronger in terms of number of nodes and number of edges than that of the network formed from randomly selected ginseng gene transcripts (Fig 6C and 6D). Together, analysis of these networks revealed that the gene members of the PgERF gene family were functionally highly differentiated, even though some of them formed a co-expression network, because the tendency of the network formation was similar to that of randomly-selected unknown genes. This result was consistent with its phylogeny, ancient origin and GO term categorization.

Fig 6. Co-expression network of the PgERF gene transcripts in the 4-year-old plant roots of 42 genotypes.

Fig 6

(A) The co-expression network constructed from 342 of the 397 PgERF gene transcripts at P ≤ 0.05. (B) 17 clusters of the network. (C) Variation in number of nodes in the network of PgERF transcripts at different P-values. (D) Variation in number of edges in the network of PgERF transcripts at different P-values.

Expression profiles of the PgERF genes in responding to cold stress

As a perennial herb that grows in cold areas, ginseng is frequently suffering from various environmental stresses, especially cold. However, the molecular mechanism underlying the tolerance to cold stress is unclear in ginseng. To test whether the PgERF genes are involved in ginseng tolerance to cold stress, the expression patterns of six PgERF genes randomly selected from DREB subfamily, i.e., PgERF073, PgERF079, PgERF110, PgERF115, PgERF120 and PgERF128, in cold-stressed ginseng hair roots were analyzed by qRT-PCR. PgERF115 and PgERF120, members of Group I of the DREB subfamily, were first up-regulated, but then down-regulated by cold stress (Fig 7D and 7E). The expression of PgERF115 gradually increased, relative to the control (0h) as the time of the cold treatment lasted, the expression approached the peak at 24 h (13.1 times higher than the control), and afterward, the expression of PgERF115 dramatically declined. PgERF120 responded to cold stress more quickly than PgERF115, reaching the expression peak at 6 h after the treatment (26.9 times higher than the control), and then gradually declined to its expression level in the control. Similarly, the expressions of PgERF073 and PgERF110, members of Group II, were also somewhat different from each other. The expression of PgERF073 showed similar trends to that of PgERF115, while the expression of PgERF110 showed similar trends to PgERF120 (Fig 7A and 7C). PgERF079, a member from Group III of the DREB subfamily, responded rapidly and drastically to the cold stress, whose expression was significantly up-regulated by 1,057.1, 274.4, 290.8 and 173.0 times in the hair roots cold-stressed for 6 h, 24 h, 48 h and 72 h, relative to those of control (P ≤ 0.01) (Fig 7B). PgERF128, which belongs to Group IV of the DREB subfamily, exhibited a gradually increasing trend in expression as the cold treatment time increased from 6 h through 96 h. At 96 h, the expression of PgERF128 in cold-stressed roots were up-regulated by 5.7 times higher than that in the control hair roots (P ≤ 0.01).

Fig 7. Expression levels of PgERF genes in ginseng hair roots after 0 (control), 6, 24, 48 and 96 h of cold stress treatment.

Fig 7

The values were given as mean ± SD of three biolgical replicates and technical triplicates. Different letters represent significant differences between the treatment means (P ≤ 0.05, LSD).

Expression profiles of the PgERF genes in responding to MeJA

MeJA is a plant hormone and a kind of elicitors that has been widely used in regulation of genes involved in ginsenoside biosynthesis in ginseng [38]. Therefore, we analyzed the expressions of the PgERF genes in the ginseng adventitious roots reated with MeJA for 0, 12, 24 and 48 h, respectively. The expressions of the PgERF gene transcripts in the control and MeJA-treated adventitious roots varied from silent (0 TPM) to 197.7 TPM (S8 Table). Of the 397 PgERF gene transcripts profiled, 173 (43.6%) expressed and 109 (27.5%) silenced in the control and all treated adventitious roots, and the remaining 115 (29.0%) either expressed or silenced in these adventitious roots. The expressions of the 288 PgERF gene transcripts expressed in the adventitious roots were visualized by the expression heatmap (Fig 8). Overall, all the 288 PgERF gene transcripts responded to the MeJA treatment, with 136 of them up-regulated and 152 down-regulated by MeJA. Among the three treatment times, 12 h, 24 h and 48 h, the responses of these PgERF gene transcripts to MeJA varied from time to time.

Fig 8. Expression heatmap of the PgERF gene transcripts treated with 200 μM MeJA for 0, 12, 24 and 48 h, respectively.

Fig 8

Discussion

The AP2/ERF gene family has been studied in several plant species of economical or biological importance at the whole genome and transcriptome level, due to its important roles in various biological processes, including growth and development, and responses to environmental stresses [5]. These species include Arabidopsis [6], rice [7], wheat [46], maize [26], cotton [3], grapevine [28], cucumber [47] and rubber tree [48]. This study has comprehensively investigated the AP2/ERF genes in ginseng using several ginseng transcriptome and genome databases. The PgERF gene family is a large gene family, consisting of 189 or more gene members. This family size is in consistence with those of the AP2/ERF gene families identified in Arabidopsis [6], rice [7] and grapevine [28]. Although the PgERF family size quite differs from those identified in wheat [46], maize [26], cotton [3], cucumber [47] and rubber tree [48], due to the variation of gene family size within a plant species [49] and the difference of the databases used for these analyses, the PgERF gene family is unambiguously classified into five subfamilies, ERF, DREB, AP2, RAV and Soloist, as those identified in Arabidopsis [6], rice [7] and grapevine [28]. These results indicate that the PgERF gene family has a similar functional differentiation pattern to those in these three species.

It has been the consensus that the conserved motifs of the AP2/ERF transcription factors are crucial to their functions, such as nuclear localization and transcriptional activity [7]. The DNA binding domain of AP2/ERF transcription factors, the AP2 domain, is highly conserved in plant species [50,51]. The AP2 domain of the PgERF genes is also highly conserved. This study has identified 14 and 11 completely conserved amino acid residues through the gene members of the DREB and ERF subfamilies, respectively, in both ginseng and Arabidopsis (S3 and S4 Figs). In Arabidopsis, the two conservative elements, YRG and RAYD, were shown to be critical to the binding of the AP2/ERF transcription factors to the promoter regions of the target genes and the modulating of their expression [29]. The conservative YRG and RAYD elements identified in the AP2 domain of the DREB and ERF subfamilies in ginseng may suggest their necessity for similar functions of the PgERF genes. Nevertheless, subtle variation exists among the amino acid sequences of the PgERF transcription factors, which has led to the separation of the DREB subfamily from the ERF subfamily. The difference between the DREB and ERF subfamilies might result in their functional divergence in ginseng. Moreover, the “EIR” in the AP2 domain was found to be shared by all gene members of the ERF subfamily and the vast majority of the gene members of the DREB subfamily in both ginseng and Arabidopsis, while the “EVR” exists only in Group III of the DREB subfamily in both ginseng and Arabidopsis and only in Group II (PgERF061) of the DREB subfamily in ginseng. It has been reported that the sequence similarity of the conserved motifs present outside of the DNA binding domain was low [6,27,43]. In ginseng, 19 conserved motifs, except for Motif 1 to Motif 6, were identified outside of the AP2 domain. The vast majority of these 19 motifs were found to be divergent across subfamilies or even subfamily groups in ginseng. The subfamily/group-specific distribution pattern of these motifs might have led to the functional divergence between subfamilies or groups of the PgERF transcription factors.

Because different transcripts alternatively spliced from the same gene may have different functions [52], this study has annotated and functionally categorized the 397 PgERF transcripts spliced from the 189 PgERF genes. The PgERF transcripts were categorized into eight subcategories at Level 2. This result suggests a substantial functional differentiation of the PgERF genes; however, the differentiation is much smaller than those observed in the PgNBS gene family [35], the PgRLK gene family [53] and the PgCYP gene family [54] in ginseng. Interestingly, only two of the eight subcategories, especially subcategory of nucleic acid binding transcription factor activity, were significantly up-enriched. This result is consistent with the roles of the PgERF genes as transcription factors by binding to the promoters of target genes. While the functions of the AP2/ERF genes have been shown to play important roles in plant growth and development, response to stresses and signal pathway in the model plant species, such as Arabidopsis [5] and rice [55], further research is needed to determine the functions of the PgERF genes in ginseng.

Companioned with their functional differentiation, the expressions of 397 PgERF transcripts dramatically varied in a tissue, at a development stage or in a genotype. Moreover, the type and number of expressed PgERF transcripts also diversified tempo-spatially and across genotypes. The differential expressions of the AP2/ERF genes were previously reported in other plant species, but mainly among tissues [25,56]. Furthermore, the numbers of the PgERF transcripts categorized into each subcategory varied across tissues, developmental stages or genotypes. These variations might be an indication of their functional differentiation. On the other hand, co-expression network analysis revealed that most (>86%) of these PgERF transcripts express correlatively and tend to form a co-expression network in different tissues or different genotypes. These results suggest that the PgERF genes have functionally differentiated, but they still maintain somehow functionally collaborative.

As a perennial herb, ginseng frequently suffers from different environmental stresses. It was reported that the members of AP2/ERF family, especially those of the DREB subfamily, played an essential role in response to biotic and abiotic stresses [16,17,57]. To explore the potential of the AP2/ERF genes of DREB subfamily in response to cold stress in ginseng, the expressions of six genes randomly selected from the DREB subfamily were analyzed under cold stress using qRT-PCR. The expression of PgERF079, from Group III or A1 group of the DREB subfamily, was changed by up to 1,057 times, relative to the control, confirming it played an extremely important role in response to cold stress. A-1 group was considered to be a major regulator of cold-stress responses, as overexpressing any of the three cold-inducible DREB1s, DREB1A/CBF3 (AT4G25480), DREB1B/CBF1 (AT4G25490) and DREB1C/CBF2 (AT4G25470), significantly improved cold tolerance in Arabidopsis [5759]. This study also shows that the expression levels of the remaining five genes from other groups of the DREB subfamily, i.e., PgERF073, PgERF110, PgERF115, PgERF120 and PgERF128, significantly changed, when the ginseng hair roots were subjected to cold stress. Therefore, we speculate that in addition to A1 group, the genes from the other groups of the DREB subfamily may also play a role in response to cold stress in ginseng. The results of these cold-inducible genes provide information useful for the functional studies of PgERF genes in ginseng.

It has been reported that some genes of the AP2/ERF family are involved in response to hormone signals in plants [6062]. It was showed that MeJA, as a signaling molecule, was rapidly synthesized in plants, when subjected to various biotic and abiotic stresses, and then, induced defense-related responses to the stresses and regulate plant growth and development [63]. MeJA has been also used as an effective elicitor, since it can stimulate the biosynthesis of plant secondary metabolites [6466]. The biosynthesis and accumulation of ginsenosides, a cluster of important secondary metabolites and the most valuable bioactive components in ginseng, were reported to be induced by MeJA [67,68]. This study revealed that addition of exogenous MeJA to adventitious roots dramatically changed the expression of a majority of the PgERF gene transcripts. The expressions of some of the transcripts were up-regulated, while those of others were down-regulated or inhibited by MeJA, relative to the control not treated by MeJA. Given the demonstrated functions of MeJA in plant responses to biotic and abiotic stresses, growth and development and secondary metabolite biosynthesis in other plant species [57,6066], the PgERF genes may also be involved in these processes, including the biosynthesis of ginsenosides.

Conclusions

The present study has, for the first time, identified and systematically characterized the AP2/ERF family in ginseng, i.e., the PgERF gene family. A total of 189 PgERF genes that actively expressed in 14 tissues of a four-year-old ginseng plant were identified, from which 397 transcripts were alternatively spliced. These PgERF genes were classified into five subfamilies, DREB, ERF, AP2, RAV and Soloist, as those previously identified in Arabidopsis. As expected, the conserved motifs that characterize the AP2/ERF family and several conserved domains were identified among the members of the PgERF gene family. Nevertheless, the transcripts of the PgERF genes were apparently categorized into eight subcategories by GO, indicating their functional differentiation. Along with their functional differentiation, the expressions of the PgERF genes, including the type, number and expression level of their transcripts, have also substantially diversified tempo-spatially and across genotypes. In spite of these differentiations, most of the PgERF genes remain to co-express and form a co-expression network, suggesting that most of the genes in the PgERF gene family remain functionally correlated. These PgERF genes and findings provide resources and knowledge necessary for family-wide functional analysis of the PgERF genes and determination of their roles in plant responses to biotic and abiotic stresses, growth and development, and biosynthesis of secondary metabolites, especially ginsenosides, in P. ginseng and related species.

Supporting information

S1 Fig

The Venn diagram of the sequence comparison between 397 PgERF transcripts identified in this study (left) and 342 AP2/ERF TFs CDS downloaded from Ginseng Genome Database (right).

(PDF)

S2 Fig. Phylogenetic tree of the AP2/ERF gene family present in ginseng and Arabidopsis.

(PDF)

S3 Fig. Conserved motifs identified from the PgERF genes.

(PDF)

S4 Fig. Comparison of the amino acid sequences of the protein AP2 domains of the DREB subfamily between ginseng and Arabidopsis.

(PDF)

S5 Fig. Comparison of the amino acid sequences of the AP2 domains of the ERF subfamily proteins from ginseng and Arabidopsis.

(PDF)

S6 Fig. Co-expression network of the PgERF gene transcripts in 14 tissues of a 4-year-old ginseng plant.

(PDF)

S1 Table. List of primers used for qRT-PCR amplification of selected genes.

(XLSX)

S2 Table. The nucleic acid sequences of the 397 predicted PgERF gene transcripts.

(XLSX)

S3 Table. Sequence comparison between 342 AP2/ERF TFs CDS downloaded from Ginseng Genome Database and 397 PgERF transcripts identified in this study.

(XLSX)

S4 Table. The amino acid sequences and properties of putative proteins encoded by the 221 predicted PgERF gene transcripts that had complete AP2 domains within ORFs.

(XLSX)

S5 Table. Expression profiles of the PgERF gene transcripts in the roots of 5-, 12-, 18- and 25-year-old ginseng plants.

(XLSX)

S6 Table. Expression profiles of the PgERF gene transcripts in 14 tissues of a 4-year-old ginseng plant.

(XLSX)

S7 Table. Expression profiles of the PgERF gene transcripts in the four-year-old plant roots of 42 genotypes representing the diversity of Jilin ginseng in Northeastern China.

(XLSX)

S8 Table. Expression profiles of PgERF gene transcripts in the adventitious roots of ginseng treated with 200 μM MeJA for 0, 12, 24 and 48 h, with three replications.

(XLSX)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This research was supported by an award from China 863 Project (2013AA102604-3), the Bureau of Science and Technology of Jilin Province (20190201264JC, 20170101010JC, 20180414077GH, 20180101027JC), the Development and Reform Commission of Jilin Province (2016C064, 2018C047-3), and a startup fund from Jilin Agriculture University (201801, https://www.jlau.edu.cn/).

References

  • 1.Mawlong I, Ali K, Srinivasan R, Rai RD, and Tyagi A (2015) Functional validation of a drought-responsive AP2/ERF family transcription factor-encoding gene from rice in Arabidopsis. Mol. Breeding 35, 163. [Google Scholar]
  • 2.Chinnusamy V, Zhu J, and Zhu JK (2007) Cold stress regulation of gene expression in plants. Trends Plant Sci. 12, 444–451. 10.1016/j.tplants.2007.07.002 [DOI] [PubMed] [Google Scholar]
  • 3.Champion A, Hebrard E, Parra B, Bournaud C, Marmey P, Tranchant C, et al. (2009) Molecular diversity and gene expression of cotton ERF transcription factors reveal that group IXa members are responsive to jasmonate, ethylene and Xanthomonas. Mol. Plant Pathol. 10, 471–485. 10.1111/j.1364-3703.2009.00549.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Gutterson N, and Reuber TL (2004) Regulation of disease resistance pathways by AP2/ERF transcription factors. Curr. Opin. Plant Biol. 7, 465–471. 10.1016/j.pbi.2004.04.007 [DOI] [PubMed] [Google Scholar]
  • 5.Francesco L, Masaru OT, and Pierdomenico P (2013) APETALA2/Ethylene Responsive Factor (AP2/ERF) transcription factors: mediators of stress responses and developmental programs. New Phytol. 199, 639–649. 10.1111/nph.12291 [DOI] [PubMed] [Google Scholar]
  • 6.Sakuma Y, Liu Q, Dubouzet JG, Abe H, Shinozaki K, and Yamaguchishinozaki K (2002) DNA-Binding Specificity of the ERF/AP2 Domain of Arabidopsis DREBs, Transcription Factors Involved in Dehydration- and Cold-Inducible Gene Expression. Biochem. Bioph. Res. Co. 290, 998–1009. [DOI] [PubMed] [Google Scholar]
  • 7.Nakano T, Suzuki K, Fujimura T, and Shinshi H (2006) Genome-wide analysis of the ERF gene family in Arabidopsis and rice. Plant Physiol. 140, 411–432. 10.1104/pp.105.073783 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Li MY, Xu ZS, Huang Y, Tian C, Wang F, and Xiong AS (2015) Genome-wide analysis of AP2/ERF transcription factors in carrot (Daucus carota L.) reveals evolution and expression profiles under abiotic stress. Mol. Genet. Genomics 290, 2049–2061. 10.1007/s00438-015-1061-3 [DOI] [PubMed] [Google Scholar]
  • 9.Mrunmay Kumar G, Swadhin S, Janesh Kumar G, Subaran S, Nidhi S, Lipika B, et al. (2014) The Arabidopsis thaliana At4g13040 gene, a unique member of the AP2/EREBP family, is a positive regulator for salicylic acid accumulation and basal defense against bacterial pathogens. J. Plant Physiol. 171, 860–867. 10.1016/j.jplph.2013.12.015 [DOI] [PubMed] [Google Scholar]
  • 10.Song X, Li Y, and Hou X (2013) Genome-wide analysis of the AP2/ERF transcription factor superfamily in Chinese cabbage (Brassica rapa ssp. pekinensis). BMC Genomics 14, 573 10.1186/1471-2164-14-573 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Nole-Wilson S, and Krizek BA (2000) DNA binding properties of the Arabidopsis floral development protein AINTEGUMENTA. Nucleic Acids Res. 28, 4076–4082. 10.1093/nar/28.21.4076 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Krizek BA (2009) AINTEGUMENTA and AINTEGUMENTA-LIKE6 Act Redundantly to Regulate Arabidopsis Floral Growthand Patterning. Plant Physiol. 150, 1916–1929. 10.1104/pp.109.141119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mi-Young C, Julia V, Rob A, Jemin L, Ryan MQ, Jae-Dong C, et al. (2010) A tomato (Solanum lycopersicum) APETALA2/ERF gene, SlAP2a, is a negative regulator of fruit ripening. Plant J. 64, 936–947. 10.1111/j.1365-313X.2010.04384.x [DOI] [PubMed] [Google Scholar]
  • 14.Kagaya Y, Ohmiya K, and Hattori T (1999) RAV1, a novel DNA-binding protein, binds to bipartite recognition sequence through two distinct DNA-binding domains uniquely found in higher plants. Nucleic Acids Res. 27, 470–478. 10.1093/nar/27.2.470 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Feng CZ, Yun C, Wang C, Kong YH, Wu WH, and Chen YF (2014) The Arabidopsis RAV1 transcription factor, phosphorylated by SnRK2 kinases, regulates the expressions of ABI3, ABI4, and ABI5 during seed germination and early seedling development. Plant J. 80, 654–668. 10.1111/tpj.12670 [DOI] [PubMed] [Google Scholar]
  • 16.Min H, Zheng J, and Wang J (2014) Maize ZmRAV1 contributes to salt and osmotic stress tolerance in transgenic Arabidopsis. J. Plant Biol. 57, 28–42. [Google Scholar]
  • 17.Xiao JL, Mo L, Ying Z, Shan H, Rong H, Yun C, et al. (2015) Overexpression of cotton RAV1 gene in Arabidopsis confers transgenic plants high salinity and drought sensitivity. PLoS One 10, e0118056 10.1371/journal.pone.0118056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Giri MK, Swain S, Gautam JK, Singh S, Singh N, Bhattacharjee L, et al. (2014) The Arabidopsis thaliana At4g13040 gene, a unique member of the AP2/EREBP family, is a positive regulator for salicylic acid accumulation and basal defense against bacterial pathogens. J. Plant Physiol. 171, 860–867. 10.1016/j.jplph.2013.12.015 [DOI] [PubMed] [Google Scholar]
  • 19.Fujimoto SM, Usui A, Shinshi H, and Ohme TM (2000) Arabidopsis ethylene-responsive element binding factors act as transcriptional activators or repressors of GCC box-mediated gene expression. Plant Cell 12, 393–404. 10.1105/tpc.12.3.393 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Luis OAS, and Singh KB (2002) Identification of Arabidopsis ethylene-responsive element binding factors with distinct induction kinetics after pathogen infection. Plant Physiol. 128, 1313–1322. 10.1104/pp.010862 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Brown RL, Kemal K, Mcgrath KC, Maclean DJ, and Manners JM (2003) A role for the GCC-box in jasmonate-mediated activation of the PDF1.2 gene of Arabidopsis. Plant Physiol. 132, 1020–1032. 10.1104/pp.102.017814 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yamaguchi-Shinozaki K, and Shinozaki K (1994) A novel cis-acting element in an Arabidopsis gene is involved in responsiveness to drought, low-temperature, or high-salt stress. Plant Cell 6, 251–264. 10.1105/tpc.6.2.251 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Jiang C, Iu B, and Singh J (1996) Requirement of a CCGAC cis-acting element for cold induction of the BN115 gene from winter Brassica napus. Plant Mol. Biol. 30, 679–684. 10.1007/bf00049344 [DOI] [PubMed] [Google Scholar]
  • 24.Boutilier K, Offringa R, Sharma VK, Kieft H, Ouellet T, Zhang L, et al. (2002) Ectopic expression of BABY BOOM triggers a conversion from vegetative to embryonic growth. Plant cell 14, 1737–1749. 10.1105/tpc.001941 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Shu Y, Liu Y, Zhang J, Song L., and Guo C(2016) Genome-Wide Analysis of the AP2/ERF Superfamily Genes and their Responses to Abiotic Stress in Medicago truncatula. Front. Plant Sci. 6, 1247 10.3389/fpls.2015.01247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhou ML, Tang YX, and Wu YM (2012) Genome-Wide Analysis of AP2/ERF Transcription Factor Family in Zea Mays. Curr. Bioinform. 7, 324–332. [Google Scholar]
  • 27.Zhang GC, Ming Chen X, Xu Z, Guan S, Li LC, Li A, et al. (2008) Phylogeny, gene structures, and expression patterns of the ERF gene family in soybean (Glycine max L.). J. Exp. Bot. 59, 4095–4107. 10.1093/jxb/ern248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Licausi F, Giorgi FM, Zenoni S, Osti F, Pezzotti M, and Perata P (2010) Genomic and transcriptomic analysis of the AP2/ERF superfamily in Vitis vinifera. BMC Genomics 11, 719 10.1186/1471-2164-11-719 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Zhuang J, Cai B, Peng RH, Zhu B, Jin XF, Xue Y, et al. (2008) Genome-wide analysis of the AP2/ERF gene family in Populus trichocarpa. Biochem. Bioph. Res. Co. 371, 468–474. [DOI] [PubMed] [Google Scholar]
  • 30.Je-Hyuk L, Jung-Hun L, Yu-Mi L, Pit-Na K, and Choon-Sik J (2008) Potential analgesic and anti-inflammatory activities of Panax ginseng head butanolic fraction in animals. Food Chem. Toxicol. 46, 3749–3752. 10.1016/j.fct.2008.09.055 [DOI] [PubMed] [Google Scholar]
  • 31.Tao Y, Yang Y, Kwak YS, Song GG, Kim MY, Man HR, et al. (2017) Ginsenoside Rc from Panax ginseng exerts anti-inflammatory activity by targeting TANK-binding kinase 1/interferon regulatory factor-3 and p38/ATF-2. J. Gins. Res. 41, 127–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shu G, Jiang S, Mu J, Yu H, Duan H, and Deng X (2018) Antitumor immunostimulatory activity of polysaccharides from Panax japonicus C. A. Mey: Roles of their effects on CD4+ T cells and tumor associated macrophages. Int. J. Biol. Macromol. 111, 430–439. 10.1016/j.ijbiomac.2018.01.011 [DOI] [PubMed] [Google Scholar]
  • 33.Scaglione F, Ferrara F, Dugnani S, Falchi M, Santoro G, and Fraschini F (1990) Immunomodulatory effects of two extracts of Panax ginseng C.A. Meyer. Drug. Exp. Clin. Res. 16, 537–542. [PubMed] [Google Scholar]
  • 34.Wang K, Jiang S, Sun C, Lin Y, Rui Y, Yi W, et al. (2015) The Spatial and Temporal Transcriptomic Landscapes of Ginseng, Panax ginseng C. A. Meyer. Sci. Rep. 5, 18283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Yin R, Zhao M, Wang K, Lin Y, Wang Y, Sun C, et al. (2017) Functional differentiation and spatial-temporal co-expression networks of the NBS-encoding gene family in Jilin ginseng, Panax ginseng C.A. Meyer. PLoS One 12, e0181596 10.1371/journal.pone.0181596 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Xu J, Chu Y, Liao B, Xiao S, Yin Q, Bai R, et al. (2017) Panax ginseng genome examination for ginsenoside biosynthesis. Gigascience 6, gix093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kim NH, Jayakodi M, Lee SC, Choi BS, Jang W, et al. (2018) Genome and evolution of the shade-requiring medicinal herb Panax ginseng. Plant Biotechnol J. 16, 1904–1917. 10.1111/pbi.12926 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kang KB, Jayakodi M, Yun SL, Nguyen VB, Park HS, Koo HJ, et al. (2018) Identification of candidate UDP-glycosyltransferases involved in protopanaxadiol-type ginsenoside biosynthesis in Panax ginseng. Sci Rep. 8, 11744 10.1038/s41598-018-30262-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Thompson JD, Higgins DG, and Gibson TJ (1994) CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22, 4673–4680. 10.1093/nar/22.22.4673 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Tamura K, Peterson D, Peterson N, Stecher G, Nei M, and Kumar S (2011) MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol. Biol. Evol. 28, 2731–2739. 10.1093/molbev/msr121 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Bailey TL, Nadya W, Chris M, and Li WW (2006) MEME: discovering and analyzing DNA and protein sequence motifs. Nucleic Acids Res. 34, 369–373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Athanasios T, Stjin VD, Enright AJ, and Freeman TC (2009) Network visualization and analysis of gene expression data using BioLayout Express3D. Nat. Protoc. 4, 1535–1550. 10.1038/nprot.2009.177 [DOI] [PubMed] [Google Scholar]
  • 43.Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2 −ΔΔCт method. Methods 25, 402–408. 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
  • 44.Xu W, Li F, Ling L, and Liu A (2013) Genome-wide survey and expression profiles of the AP2/ERF family in castor bean (Ricinus communis L.). BMC Genomics 14, 785 10.1186/1471-2164-14-785 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Ana C, Stefan GT, Juan Miguel GG, Javier T, Manuel T, and Montserrat R (2005) Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21, 3674–3676. 10.1093/bioinformatics/bti610 [DOI] [PubMed] [Google Scholar]
  • 46.Zhuang J, Chen JM, Yao QH, Xiong F, Sun CC, Zhou XR, et al. (2011) Discovery and expression profile analysis of AP2/ERF family genes from Triticum aestivum. Mol. Biol. Rep. 38, 745–753. 10.1007/s11033-010-0162-7 [DOI] [PubMed] [Google Scholar]
  • 47.Hu L, and Liu S (2011) Genome-wide identification and phylogenetic analysis of the ERF gene family in cucumbers. Genet. Mol. Biol. 34, 624–633. 10.1590/S1415-47572011005000054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Duan C, Argout X, Gébelin V, Summo M, Dufayard JF, Leclercq J, et al. (2013) Identification of the Hevea brasiliensis AP2/ERF superfamily by RNA sequencing. BMC Genomics 14, 30 10.1186/1471-2164-14-30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Zhang M, Wu YH, Lee MK, Liu YH, Rong Y, Santos TS, et al. (2010) Numbers of genes in the NBS and RLK families vary by more than four-fold within a plant species and are regulated by multiple factors. Nucleic Acids Res. 38, 6513–6525. 10.1093/nar/gkq524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Kizis D, Lumbreras V, and Pagès M (2001) Role of AP2/EREBP transcription factors in gene regulation during abiotic stress. Febs Lett. 498, 187–189. 10.1016/s0014-5793(01)02460-7 [DOI] [PubMed] [Google Scholar]
  • 51.Li X, Zhang D, Gao B, Liang Y, Yang H, Wang Y, et al. (2017) Transcriptome-Wide Identification, Classification, and Characterization of AP2/ERF Family Genes in the Desert Moss Syntrichia caninervis. Front. Plant Sci. 8, 262 10.3389/fpls.2017.00262 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Carvalho RF, Feijão CV, and Duque P (2013) On the physiological significance of alternative splicing events in higher plants. Protoplasma 250, 639–650. 10.1007/s00709-012-0448-9 [DOI] [PubMed] [Google Scholar]
  • 53.Lin Y, Wang K, Li X, Sun C, Yin R, Wang Y, et al. (2018) Evolution, functional differentiation, and co-expression of the RLK gene family revealed in Jilin ginseng, Panax ginseng C.A. Meyer. Mol. Genet. Genomics 293, 845–859. 10.1007/s00438-018-1425-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Wang Y, Li X, Lin Y, Wang Y, Wang K, Sun C, et al. (2018) Structural Variation, Functional Differentiation, and Activity Correlation of the Cytochrome P450 Gene Superfamily Revealed in Ginseng. The Plant Genome 11, 1–11. [DOI] [PubMed] [Google Scholar]
  • 55.Mizoi J, Shinozaki K, and Yamaguchi-Shinozaki K (2012) AP2/ERF family transcription factors in plant abiotic stress responses. BBA—Gene Regul. Mech. 1819, 86–96. [DOI] [PubMed] [Google Scholar]
  • 56.Guodong R, Jinkai S, Yanfei Z, Caiyun H, and Jianguo Z (2015) Genome-wide analysis of the AP2/ERF gene family in Salix arbutifolia. Febs Open Bio. 5, 132–137. 10.1016/j.fob.2015.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Liu Q, Kasuga M, Sakuma Y, Abe H, Miura S, Yamaguchi-Shinozaki K, et al. (1998) Two transcription factors, DREB1 and DREB2, with an EREBP/AP2 DNA binding domain separate two cellular signal transduction pathways in drought- and low-temperature-responsive gene expression, respectively, in Arabidopsis. Plant Cell 10, 1391–1406. 10.1105/tpc.10.8.1391 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Park S, Lee C-M, Doherty CJ, Gilmour SJ, Kim Y, Thomashow MF (2015) Regulation of the Arabidopsis CBF regulon by a complex low-temperature regulatory network. Plant J. 82, 193–207. 10.1111/tpj.12796 [DOI] [PubMed] [Google Scholar]
  • 59.Jaglo-Ottosen RK (1998) Arabidopsis CBF1 Overexpression Induces COR Genes and Enhances Freezing Tolerance. Science 280, 104–106. 10.1126/science.280.5360.104 [DOI] [PubMed] [Google Scholar]
  • 60.Oscar L, Raquel P, Sánchez-Serrano JJ, and Roberto S (2003) ETHYLENE RESPONSE FACTOR1 integrates signals from ethylene and jasmonate pathways in plant defense. Plant Cell 15, 165–178. 10.1105/tpc.007468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Zarei A, Körbes AP, Younessi P, Montiel G, Champion A, and Memelink J (2011) Two GCC boxes and AP2/ERF-domain transcription factor ORA59 in jasmonate/ethylene-mediated activation of the PDF1.2 promoter in Arabidopsis. Plant Mol. Biol. 75, 321–331. 10.1007/s11103-010-9728-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Moffat CS, Ingle RA, Wathugala DL, Saunders NJ, Knight H, and Knight MR (2012) ERF5 and ERF6 Play Redundant Roles as Positive Regulators of JA/Et-Mediated Defense against Botrytis cinerea in Arabidopsis. PLoS One 7, e35995 10.1371/journal.pone.0035995 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Benevenuto RF, Seldal T, Hegland SJ, Rodriguez-Saona C, Kawash J, and Polashock J (2019) Transcriptional profiling of methyl jasmonate-induced defense responses in bilberry (Vaccinium myrtillus L.). BMC Plant Biol. 19, 70 10.1186/s12870-019-1650-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Chen H, Jones AD, and Howe GA (2006) Constitutive activation of the jasmonate signaling pathway enhances the production of secondary metabolites in tomato. Febs Lett. 580, 2540–2546. 10.1016/j.febslet.2006.03.070 [DOI] [PubMed] [Google Scholar]
  • 65.Hyun-Jin K, Feng C, Xi W, and Rajapakse NC (2006) Effect of methyl jasmonate on secondary metabolites of sweet basil (Ocimum basilicum L.). J. Agric. Food. Chem. 54, 2327–2332. 10.1021/jf051979g [DOI] [PubMed] [Google Scholar]
  • 66.Wang H, Ma C, Li Z, Ma L, Hong W, Ye H, et al. (2010) Effects of exogenous methyl jasmonate on artemisinin biosynthesis and secondary metabolites in Artemisia annua L. Ind. Crop. Prod. 31, 214–218. [Google Scholar]
  • 67.Kim YS, Hahn EJ, Murthy HN, and Paek KY (2004) Adventitious root growth and ginsenoside accumulation in Panax ginseng cultures as affected by methyl jasmonate. Biotechnol. lett. 26, 1619–1622. 10.1007/s10529-004-3183-2 [DOI] [PubMed] [Google Scholar]
  • 68.Kim YJ, Zhang D, and Yang DC (2015) Biosynthesis and biotechnological production of ginsenosides. Biotechnol. Adv. 33, 717–735. 10.1016/j.biotechadv.2015.03.001 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Anil Kumar Singh

17 Dec 2019

PONE-D-19-31960

Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer

PLOS ONE

Dear Mr Wang,

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. 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

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #2: Yes

**********

3. 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

**********

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 manuscript submitted by Chen et al., and titled “Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer” addresses a good research topic and provides a very comprehensive review of the identification and characterization of the AP2/ERF family present in ginseng. Authors have classified PgERFs on the basis of structural similarity and presence of AP2/ERF domains into five sub families. Authors have introduced a series of well-designed experiments including phylogenetic analysis, motif identification and multiple sequence alignment for characterization of PgERF genes. They have carried out functional characterization and expression profiling of these genes using different transcriptomic databases. Authors have shown the response of PgERF genes to cold stress, suggesting their role in freezing tolerance of ginseng. They have also shown the response of PgERF genes to MeJA, suggesting their role in growth and development and secondary metabolite biosynthesis. The work would contribute towards the functional validation of the PgERF genes in responses to biotic and abiotic stresses, growth and development, and biosynthesis of ginsenosides, in Panax ginseng and related species.

In general, the research hypotheses and materials and methods used in this research are scientifically sound; the results are well represented, and the discussion of results are well balanced. The manuscript can be accepted with minor revisions.

Minor concerns:

1- Introduction part:

Page 4, Line no. 80: Arabidopsis thaliana

Page 4, Line no. 82: remove “and” before grapevine

Page 4, Line no. 83: Change “Ginseng” to “Ginseng”

2- The materials and methods section is very well-written, adequately detailed and well-organized. However, authors

should mention the method used to describe the statistical significance of the data represented (p≤0.05 or p≤0.01).

3- The Results section is well-written. However, there are some errors:-

Page 10, Line no. 206: Change “Furthermore” to “Moreover”

Page 10, Line no. 207: Either mention “A1 to A6 and B1 to B6” in Figure 1 or remove these mentions from the text

in manuscript.

Page 10, Line no. 214: remove “also”

Page 11, Line no. 223: change “(Fig.2)” to “(Fig.1)”

In Figure 2, group VII and group VIII are not mentioned. (labeling error).

Page 13, Line no. 275: Change “Furthermore” to “Moreover”

Label the Figure 7 with A, B, C, D, E, F as you mentioned in text line no’s. 334, 342, 345 and 347.

4- The discussion section is well written, few errors are:

Page 18, Line no. 383: change “the” to “that”

Page 20, Line no. 435, line no. 437, line no. 443: remove “A1 group” or mention it in Figure1.

5- The reference section contain many typos and lack of punctuation marks such as:-

Page 25, Line no. 534: Arabidopsis , journal volume and page no’s missing.

Page 26, Line no. 566: BMC Genomics

Page 27, Line no. 590: journal name should be in Italic

Page 27, Line no. 591: remove full stop after (2018)

Page 28, Line no. 605: Journal name should be in Italic, change colon with comma

Page 29, Line no. 627: Use reference style suggested by Plos One journal

Page 30, Line no. 642: Arabidopsis ; Change colon with comma

Page 30, Line no. 645: Change colon with comma

Page 30, Line no. 654: Journal volume and page no’s missing.

Reviewer #2: Chen et al., attempted to investigate the structural variation, functional diversity and expression profile of AP2/ERF gene family using transcriptomic dataset in ginseng. They claimed a total of 189 putative AP2/ERF genes and 397 PgERF gene transcripts diversified across different tissues and demonstrated the expression patterns in response to cold resistance and Methyl jasmonate (MeJA) treatment. The authors have been provided lot of data, facts and information. However, the manuscript lacks the detailed interpretations that should be addressed by authors in the manuscript.

Here are few queries for the manuscript:

What issue authors want to address in the manuscript by mentioning the clustering in so and so group? Authors should highlight the importance in evolution and explain the importance of phylogeny of AP2/ERF family for its evolution.

Why authors used only NJ method? And what happens if they used ML method to divulge the phylogeny?

Why they used TPM value not RPKM?? And which is better to consider during analysis of expression profile?

Authors should mention the retrieval or access date of downloaded dataset in materials and method section

Authors have well written the manuscript. However, there is still a space for improvement while writing in English. For eg line 25-26 (A total… PgERF189), line 46…48 (Therefore,… the stresses)

**********

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.

Reviewer #1: Yes: VISHAL SHARMA

Reviewer #2: No

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PLoS One. 2020 Mar 16;15(3):e0226055. doi: 10.1371/journal.pone.0226055.r002

Author response to Decision Letter 0


27 Jan 2020

Dear reviewers,

Thank you for your comments concerning our manuscript entitled “Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer” (Manuscript Number: PONE-D-19-31960). These comments are constructive, valuable and very helpful for improving our manuscript. We have studied them very carefully and revised the manuscript as suggested. The revisions are indicated in the file: “Track Changes._Manuscript_Rev1_Chen et al.docx”, and the point to point responses are summarized as follows:

Reviewer 1:

Reviewer #1 Suggestions:

Reviewer #1: The manuscript submitted by Chen et al., and titled “Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer” addresses a good research topic and provides a very comprehensive review of the identification and characterization of the AP2/ERF family present in ginseng. Authors have classified PgERFs on the basis of structural similarity and presence of AP2/ERF domains into five sub families. Authors have introduced a series of well-designed experiments including phylogenetic analysis, motif identification and multiple sequence alignment for characterization of PgERF genes. They have carried out functional characterization and expression profiling of these genes using different transcriptomic databases. Authors have shown the response of PgERF genes to cold stress, suggesting their role in freezing tolerance of ginseng. They have also shown the response of PgERF genes to MeJA, suggesting their role in growth and development and secondary metabolite biosynthesis. The work would contribute towards the functional validation of the PgERF genes in responses to biotic and abiotic stresses, growth and development, and biosynthesis of ginsenosides, in Panax ginseng and related species.

In general, the research hypotheses and materials and methods used in this research are scientifically sound; the results are well represented, and the discussion of results are well balanced. The manuscript can be accepted with minor revisions.

Authors’ Response:

Thanks.

Minor concerns:

Reviewer #1 Suggestions:

1- Introduction part:

Page 4, Line no. 80: Arabidopsis thaliana

Page 4, Line no. 82: remove “and” before grapevine

Page 4, Line no. 83: Change “Ginseng” to “Ginseng”

Authors’ Response:

Thanks for carefully reading and editing. We are sorry for the inaccurate writing. As your suggesting, we have corrected the wrong writing and checked throughout the manuscript.

Reviewer #1 Suggestions:

2- The materials and methods section is very well-written, adequately detailed and well-organized. However, authors should mention the method used to describe the statistical significance of the data represented (p≤0.05 or p≤0.01).

Authors’ Response:

Thanks. We have added the statistical methods used to describe the statistical significance of the data represented (p≤0.05 or p≤0.01), where appropriate.

Reviewer #1 Suggestions:

3- The Results section is well-written. However, there are some errors:-

Page 10, Line no. 206: Change “Furthermore” to “Moreover”

Page 10, Line no. 207: Either mention “A1 to A6 and B1 to B6” in Figure 1 or remove these mentions from the text in manuscript.

Page 10, Line no. 214: remove “also”

Page 11, Line no. 223: change “(Fig.2)” to “(Fig.1)”

In Figure 2, group VII and group VIII are not mentioned. (labeling error).

Page 13, Line no. 275: Change “Furthermore” to “Moreover”

Label the Figure 7 with A, B, C, D, E, F as you mentioned in text line no’s. 334, 342, 345 and 347.

Authors’ Response:

Thanks for carefully reading and editing. As your suggesting, we have corrected the wrong writing in the text and the mistakes in Figure 2 and Figure 7. Besides, we added the mention of ‘A1 to A6 and B1 to B6’ in the Figure 1.

Reviewer #1 Suggestions:

4- The discussion section is well written, few errors are:

Page 18, Line no. 383: change “the” to “that”

Page 20, Line no. 435, line no. 437, line no. 443: remove “A1 group” or mention it in Figure1.

Authors’ Response:

Thanks for carefully reading and editing. As your suggesting, we have corrected the wrong writing in the text added the mention of ‘A1 to A6 and B1 to B6’ in the Figure 1.

Reviewer #1 Suggestions:

5- The reference section contain many typos and lack of punctuation marks such as:-

Page 25, Line no. 534: Arabidopsis, journal volume and page no’s missing.

Page 26, Line no. 566: BMC Genomics

Page 27, Line no. 590: journal name should be in Italic

Page 27, Line no. 591: remove full stop after (2018)

Page 28, Line no. 605: Journal name should be in Italic, change colon with comma

Page 29, Line no. 627: Use reference style suggested by Plos One journal

Page 30, Line no. 642: Arabidopsis ; Change colon with comma

Page 30, Line no. 645: Change colon with comma

Page 30, Line no. 654: Journal volume and page no’s missing.

Authors’ Response:

Thanks for carefully reading and editing. We are sorry for the inaccurate writing and mistakes in the reference section. As your suggesting, we have added the missing data of journal, corrected the wrong style. Besides, we have checked throughout the reference section.

Reviewer #2 Suggestions:

Reviewer #2: Chen et al., attempted to investigate the structural variation, functional diversity and expression profile of AP2/ERF gene family using transcriptomic dataset in ginseng. They claimed a total of 189 putative AP2/ERF genes and 397 PgERF gene transcripts diversified across different tissues and demonstrated the expression patterns in response to cold resistance and Methyl jasmonate (MeJA) treatment. The authors have been provided lot of data, facts and information. However, the manuscript lacks the detailed interpretations that should be addressed by authors in the manuscript.

Authors’ Response:

Thanks. We have added the detailed interpretations where appropriate (also see below).

Here are few queries for the manuscript:

Reviewer #2 Suggestions:

What issue authors want to address in the manuscript by mentioning the clustering in so and so group? Authors should highlight the importance in evolution and explain the importance of phylogeny of AP2/ERF family for its evolution.

Authors’ Response:

Thanks. It is a very good point. We have highlighted and explained the importance of the phylogeny of AP2/ERF family for the family evolution, and inferred the origin and evolution of the PgERF family, based on its phylogenetic tree in the section of Phylogenetic analysis of the PgERF gene family, Results.

Reviewer #2 Suggestions:

Why authors used only NJ method? And what happens if they used ML method to divulge the phylogeny?

Authors’ Response:

Thanks. We have also constructed the phylogenetic tree using the ML method. The resultant ML tree is shown in Fig. S2. The ML tree is essentially the same as the NJ tree. We have presented the comparison between the two trees in the section of Phylogenetic analysis of the PgERF gene family, Results.

Reviewer #2 Suggestions:

Why they used TPM value not RPKM?? And which is better to consider during analysis of expression profile?

Authors’ Response:

Thanks. It is a very good point. Three methods, TPM (Transcripts Per Million or Transcripts Per Kilobase Million), RPKM (Reads Per Kilobase Million) and FPKM (Fragments Per Kilobase Million), are used to present the expression of a transcript or gene quantified by RNA-seq. All three methods normalize the expressions of transcripts or genes that have different lengths among samples that have different sequencing depths with sequencing depth and transcript or gene length, but the normalization order of them are different for three methods. TPM normalizes the transcript or gene length first and then the sequencing depth, while RPKM and FKPM normalize the sequencing depth first and then the transcript or gene length. Therefore, TPM is more desirable for comparative analysis between samples, such as those in this study, than RPKM and FKPM. This is because TPM always has the same denominator, regardless of what samples you are looking at, while the denominator of RPKM or FKPM could be different for different samples, thus being not comparable.

For more information, please see https://www.rna-seqblog.com/rpkm-fpkm-and-tpm-clearly-explained/

Reviewer #2 Suggestions:

Authors should mention the retrieval or access date of downloaded dataset in materials and method section

Authors’ Response:

Thanks. We have added a sentence to indicate where and how the datasets used for this study are retrieved in the materials and method section.

Reviewer #2 Suggestions:

Authors have well written the manuscript. However, there is still a space for improvement while writing in English. For eg line 25-26 (A total… PgERF189), line 46…48 (Therefore,… the stresses)

Authors’ Response:

Thanks. Both we and an American professor of genomics have carefully read and edited the manuscript, with a focus on English, including the correction of the sentences indicated above by the reviewer.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Anil Kumar Singh

27 Feb 2020

Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer

PONE-D-19-31960R1

Dear Dr. Wang,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. 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.

With kind regards,

Anil Kumar Singh, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. 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: Authors have added the statistical methods used to describe the statistical significance of the data represented. The research hypotheses and materials and methods used in this research are scientifically sound.

Authors have also made corrections to the figure 2 and figure 7. The results are well represented, and the discussion of results are well balanced now.

Authors have adequately addressed the comments raised in a previous round of review. I feel that this manuscript is now acceptable 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: VISHAL SHARMA

Reviewer #2: No

Acceptance letter

Anil Kumar Singh

3 Mar 2020

PONE-D-19-31960R1

Structural variation, functional differentiation and expression characteristics of the AP2/ERF gene family and its response to cold stress and methyl jasmonate in Panax ginseng C.A. Meyer

Dear Dr. Wang:

I am 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 notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, 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.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Anil Kumar Singh

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig

    The Venn diagram of the sequence comparison between 397 PgERF transcripts identified in this study (left) and 342 AP2/ERF TFs CDS downloaded from Ginseng Genome Database (right).

    (PDF)

    S2 Fig. Phylogenetic tree of the AP2/ERF gene family present in ginseng and Arabidopsis.

    (PDF)

    S3 Fig. Conserved motifs identified from the PgERF genes.

    (PDF)

    S4 Fig. Comparison of the amino acid sequences of the protein AP2 domains of the DREB subfamily between ginseng and Arabidopsis.

    (PDF)

    S5 Fig. Comparison of the amino acid sequences of the AP2 domains of the ERF subfamily proteins from ginseng and Arabidopsis.

    (PDF)

    S6 Fig. Co-expression network of the PgERF gene transcripts in 14 tissues of a 4-year-old ginseng plant.

    (PDF)

    S1 Table. List of primers used for qRT-PCR amplification of selected genes.

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    S2 Table. The nucleic acid sequences of the 397 predicted PgERF gene transcripts.

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    S3 Table. Sequence comparison between 342 AP2/ERF TFs CDS downloaded from Ginseng Genome Database and 397 PgERF transcripts identified in this study.

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    S4 Table. The amino acid sequences and properties of putative proteins encoded by the 221 predicted PgERF gene transcripts that had complete AP2 domains within ORFs.

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    S5 Table. Expression profiles of the PgERF gene transcripts in the roots of 5-, 12-, 18- and 25-year-old ginseng plants.

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    S6 Table. Expression profiles of the PgERF gene transcripts in 14 tissues of a 4-year-old ginseng plant.

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    S7 Table. Expression profiles of the PgERF gene transcripts in the four-year-old plant roots of 42 genotypes representing the diversity of Jilin ginseng in Northeastern China.

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    S8 Table. Expression profiles of PgERF gene transcripts in the adventitious roots of ginseng treated with 200 μM MeJA for 0, 12, 24 and 48 h, with three replications.

    (XLSX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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