Literature DB >> 34914788

Transcriptome analysis of Kentucky bluegrass subject to drought and ethephon treatment.

Jiahang Zhang1, Yanan Gao2, Lixin Xu1, Liebao Han1.   

Abstract

Kentucky bluegrass (Poa pratensis L.) is an excellent cool-season turfgrass utilized widely in Northern China. However, turf quality of Kentucky bluegrass declines significantly due to drought. Ethephon seeds-soaking treatment has been proved to effectively improve the drought tolerance of Kentucky bluegrass seedlings. In order to investigate the effect of ethephon leaf-spraying method on drought tolerance of Kentucky bluegrass and understand the underlying mechanism, Kentucky bluegrass plants sprayed with and without ethephon are subjected to either drought or well watered treatments. The relative water content and malondialdehyde conent were measured. Meanwhile, samples were sequenced through Illumina. Results showed that ethephon could improve the drought tolerance of Kentucky bluegrass by elevating relative water content and decreasing malondialdehyde content under drought. Transcriptome analysis showed that 58.43% transcripts (254,331 out of 435,250) were detected as unigenes. A total of 9.69% (24,643 out of 254,331) unigenes were identified as differentially expressed genes in one or more of the pairwise comparisons. Differentially expressed genes due to drought stress with or without ethephon pre-treatment showed that ethephon application affected genes associated with plant hormone, signal transduction pathway and plant defense, protein degradation and stabilization, transportation and osmosis, antioxidant system and the glyoxalase pathway, cell wall and cuticular wax, fatty acid unsaturation and photosynthesis. This study provides a theoretical basis for revealing the mechanism for how ethephon regulates drought response and improves drought tolerance of Kentucky bluegrass.

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Year:  2021        PMID: 34914788      PMCID: PMC8675742          DOI: 10.1371/journal.pone.0261472

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


1. Introduction

Environmental factors (such as light, temperature, water, soil, etc.) are very important to the growth and survival of plants, because slight changes of these environmental factors may make plants suffer from stress, thus affecting their normal growth and survival [1]. Drought stress is one of the major factors limiting plant growth and crop productivity in many areas [2]. It reduces the turf quality of Kentucky bluegrass by influencing the shoot density, texture, uniformity, color, growth habit and recuperative capacity [3, 4]. The common responses of plants to drought stress include the expression changes of many genes, such as genes related to signal transduction, and the transcription and regulation of thousands of functional proteins, which are involved in the molecular regulation of drought resistance [5]. The phytohormone ethylene is a key signaling molecule in plants for regulating multiple developmental processes and stress responses [6, 7]. As an ethylene releasing reagent, ethephon can overcome the disadvantage of inconvenient application of gaseous ethylene and has great potential in practice for various reasons [8, 9]. For example, researches on Maize (Zea myus) [10], rice (Oryza sativa) [11] and Arabidopsis thaliana [12] have revealed that ethephon could improve plants drought tolerance. Few studies focused on the potential of ethephon application in turfgrass species for water saving reasons. Zhang et al. [13] found that ethephon seeds treatment improved drought tolerance of Kentucky bluegrass seedlings by increasing antioxidant enzyme activity and soluble protein content under PEG-induced drought conditions. Han [14] found that specific concentration of ethephon could effectively improve the drought tolerance of Kentucky bluegrass. However, it is still unclear how ethephon affect the response mechanism of Kentucky bluegrass under drought. At present, a large number of studies have revealed the mechanism for plants drought tolerance through transcriptome sequencing [15-18]. Illumina sequencing technology has been used in the study of turfgrass genome such as Lolium temulentum L. [19], orchardgrass (Dactylis glomerata L.) [20] and creeping bentgrass (Agrostis stolonifera) [21]. For species without genome information, transcriptome sequencing can effectively characterize and identify the biosynthesis pathway of secondary metabolites in plants, reveal the growth, development, physiological adaptability of plants, and explore the gene sequence and expression level [22-24]. Zhang et al. [25] compared the transcriptome of drought resistant and sensitive plants collections of Qinghai wild Poa pratensis under drought, and found that genes involved in the starch and sucrose metabolism pathways, and bHLH, AP2/EREPB and C2H2 zinc finger family transcription factors played important roles in drought tolerance of Kentucky bluegrass. Leng et al. [26] revealed that genes encoding protein kinase, protein phosphatase, genes involved in carbon metabolism and ABA synthesis and transduction are crucial in Kentucky bluegrass ’Nuglade’ drought defense responses. Gene expression changes on a whole transcriptome level associated with ethephon pre-treatment under drought stress of Kentucky bluegrass have not been well-studied yet. The objective of this study is to investigate the effect of ethephon on drought tolerance of Kentucky bluegrass and to understand the underlying mechanism by analyzing and identifying genes involved in ethephon mediated drought tolerance improvement.

2. Materials and method

2.1 Plant materials and treatment

Seeds of Kentucky bluegrass (cv. Nuglade) were from Beijing Top Green Company. All materials were planted in the greenhouse of Turfgrass Reasearch Station of Beijing Forestry University, Bajia nursery, Beijing, China. The plants were grown in plastic pots (diameter: 20 cm, depth: 18 cm) filled with a mixture of peat, vermiculite and perlite (2:1:1). Plants were watered every 2 days to keep the soil moisture conditions at field capacity. Drought stress was imposed by withdrawing water for 13 days until soil moisture drop to 4% (portable time domain reflectometry)(TZS-I, Zhejiang TOP Instrument Co., Ltd, China). Ethephon solution (200 mg/L) was foliar-sprayed 7 days ahead of drought treatment. After 15 days of drought treatment, the upper 3–5 leaves were sampled from well-watered control plants without ethephon application (CK), drought treated plants without ethphon application (Drought), and droughttreated plants with ethephon pre-treatment (ETH_D) for RNA sequencing and real-time PCR analysis (Fig 1).
Fig 1

Schematic overview of the experimental design for well-watered control plants without ethephon application (CK), drought control plants without ehtphon application (Drought), and drought control plants with ethephon pre-treatment (ETH_D).

CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon application. ETH_D means drought-stressed plants with ethephon pre-treatment.

Schematic overview of the experimental design for well-watered control plants without ethephon application (CK), drought control plants without ehtphon application (Drought), and drought control plants with ethephon pre-treatment (ETH_D).

CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon application. ETH_D means drought-stressed plants with ethephon pre-treatment.

2.2 Relative water content and malondialdehyde content

The relative water content (RWC) of leaves was determined by drying method [27]. The content of malondialdehyde (MDA) (μmol·g-1) was determined by thiobarbituric acid method [28].

2.3 RNA isolation and library preparation

Total RNA was extracted using TRIzol kit (Invitrogen, CA, USA) according to the manufacturer’s instructions and was treated with DNaseI. RNA purity was checked using the NanoPhotometer® spectrophotometer (IMPLEN, CA, USA); RNA integrity was assessed using the RNA Nano 6000 Assay Kit of the Agilent Bioanalyzer 2100 system (Agilent Technologies, CA, USA). RNA integrity number for the RNA samples are in the range from 6.3 to 7.2. The cDNA library was prepared by pooling RNA from the leaf samples of CK, Drought, ETH_D. Three biological replicates for each treatment were used for RNA sequencing and real-time PCR analysis. A total amount of 3 μg RNA per sample was used as input material for the RNA sample preparations. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations and index codes were added to attribute sequences to each sample. Briefly, mRNA was purified from total RNA using poly-T oligo-attached magnetic beads. Fragmentation was carried out using divalent cations under elevated temperature in NEBNext First Strand Synthesis Reaction Buffer (5X). First strand cDNA was synthesized using random hexamer primer and M-MuLV Reverse Transcriptase (RNase H-). Second strand cDNA synthesis was subsequently performed using DNA Polymerase I and RNase H. Remaining overhangs were converted into blunt ends via exonuclease/polymerase activities. After adenylation of 3’ ends of DNA fragments, NEBNext Adaptor with hairpin loop structure were ligated to prepare for hybridization. In order to select cDNA fragments of preferentially 150~200 bp in length, the library fragments were purified with AMPure XP system (Beckman Coulter, Beverly, USA). Then 3 μl USER Enzyme (NEB, USA) was used with size-selected, adaptor-ligated cDNA at 37°C for 15 min followed by 5 min at 95°C before PCR. Then PCR was performed with Phusion High-Fidelity DNA polymerase, Universal PCR primers and Index (X) Primer. At last, PCR products were purified (AMPure XP system) and library quality was assessed on the Agilent Bioanalyzer 2100 system.

2.4 Sequencing, assembly, and annotation

Sequencing, assembly, and annotation were performed by Novogene Bioinformatics Technology Co. Ltd (https://www.novogene.com/). The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia) according to the manufacturer’s instructions. After cluster generation, the library preparations were sequenced on an Illumina Hiseq platform and paired-end reads were generated. The raw reads were sequenced on the Illumina HiSeq™ 4000 platform. After the raw reads containing adapter sequences, reads containing ploy-N (≥10%) and low quality reads had been removed, the clean reads were assembled de novo using the Trinity (http://trinityrnaseq.github.io) as previous described [22]. It was a K-mer length of 25 and a minimum assembly length at 200bp that default parameters were set for fast and efficient transcript assembly. The longest transcript of each gene is used as a representative of the gene, called Unigene, for subsequent analysis. Taxonomic and functional annotation of all spliced sequences was obtained by comparing with seven databases which were the NCBI non-redundant protein sequences (NR) database, NCBI nucleotide sequences (NT) database, protein family (PFAM) database, eukaryotic ortholog groups (KOG) database, Swiss-Prot database, Kyoto Encyclopedia of Genes and Genomes (KEGG) database and Gene Ontology (GO) database. Based on the protein annotation result of NR and PFAM, analysis of the Gene Ontology (GO) term was conducted for functional annotations (E-values<10−6). The KAAS software was used to blast the gene sequences in the unigene and the KEGG gene database.

2.5 Identification of differentially expressed genes

The transcriptome obtained by Trinity splicing were the reference sequence, and the clean reads of each sample were mapped directly to the reference transcriptome libraries using the RSEM (v1.2.15) software [29] with default parameters. Readcount for each gene was obtained from the mapping results. Differential expression analysis of three treatments was performed using the DESeq R package [30]. The resulting P values were adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate [31]. Genes with an adjusted P-value <0.05 found by DESeq were assigned as differentially expressed. GO enrichment analysis of differentially expressed genes (DEGs) was performed by GOseq method [32] based on Wallenius non-central hyper-geometric distribution. The analysis first mapped all the differentially expressed genes to each term of the Gene Ontology database, calculated the number of genes for each term, and then found the significant enrichment in the differentially expressed genes compared to the entire genome background. Simultaneously, up regulated and down regulated genes was performed separately for enrichment analysis in order to better study the function of differential genes.

2.6 Validation of differential expression genes by qRT-PCR

Eight differentially expressed genes were randomly selected for qRT-PCR analysis, and high-through put data were validated (the prime pairs of these eight genes were listed in S1 Data). Total RNA was extracted respectively from the leaves of each sample as previous described. Complementary DNA from total RNA was prepared using HiScript® II Q RT SuperMix for qPCR kit (with the gDNA wiper) (Vazyme Biotech Co., Ltd, Nanjing, China) according to the manufacturer’s protocol. The primers were designed for qRT-PCR and the Actin gene was used as the internal reference gene. The qRT-PCR was carried out using the Applied Biosystems 7500 real-time PCR system. The relative quantitative data were calculated using the 2-ΔΔ CT method [33].

3. Results and discussion

3.1 Relative water content and malondialdehyde content

Relative water content (RWC) can be used as an index to measure the internal water loss and water holding capacity of plants. Higher RWC under drought stressed conditions means better drought tolerance of Kentucky bluegrass [2, 34]. The value of RWC in Kentucky bluegrass leaves decreased significantly by drought. Ethephon pre-treated plants maintained a higher level of RWC under drought stress relative to non-ethephon treated control plants (Fig 2A). Therefore, ethephon could improve the drought tolerance of Kentucky bluegrass. Malondialdehyde (MDA) is a final product of plant cell membrane lipid peroxidation and is widely used as a biomarker of oxidative stress in plants [35]. Under drought stress, lower MDA content is associated with better stress tolerance of turfgrasses [36]. MDA content in Kentucky bluegrass leaves increased significantly by drought, ethephon pre-treatment lowered the level of MDA under drought (Fig 2B). These results together confirmed that ethephon could improve the drought tolerance of Kentucky bluegrass by combining the photos of ethephon and drought treatment (Fig 3).
Fig 2

A. Relative water content of each samples B. Malondialdehyde content of each treatment. CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon application. ETH_D means drought-stressed plants with ethephon pre-treatment.

Fig 3

Effects of ethephon on Kentucky bluegrass under drought.

CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon pre-treatment. ETH_D means drought-stressed plants with ethephon pre-treatment.

A. Relative water content of each samples B. Malondialdehyde content of each treatment. CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon application. ETH_D means drought-stressed plants with ethephon pre-treatment.

Effects of ethephon on Kentucky bluegrass under drought.

CK means well-watered control plants without ethephon application. Drought means drought-stressed plants without ethephon pre-treatment. ETH_D means drought-stressed plants with ethephon pre-treatment.

3.2 Sequence assembly

A set of 435,250 transcripts was produced using Trinity. We selected 254,331 sequences (58.43% of the total transcripts) as unigenes, with a mean length of 581 bp and an N50 of 818 bp (see S2–S4 Data for data used to summarize the quality of sequencing, assembly and alignment). The Kentucky bluegrass 254,331 assembled unigenes were queried against seven protein databases, results showed that among the NR BLASTx best hits, Kentucky bluegrass unigenes were significantly similar to Brachypodium distachyon proteins (14,815, 19.1%), followed by Aegilops tauschii (14,710, 18.9%), Hordeum vulgare (10,517, 13.5%), Triticum urartu (7,283, 9.4%) and Oryza sativa (5,988, 7.7%) (Fig 4).
Fig 4

Summary and taxonomic source of BLASTx matches for Kentucky bluegrass unigenes.

Percentage of unique best BLASTx matches of unigenes grouped by genus.

Summary and taxonomic source of BLASTx matches for Kentucky bluegrass unigenes.

Percentage of unique best BLASTx matches of unigenes grouped by genus.

3.3 Differential expression and gene ontology

A total of 24,643 transcripts were identified as DEGs in one or more of the pairwise comparisons (Fig 5A). A large change of the transcriptome occurred in Kentucky bluegrass in response to drought stress (Fig 5A). A relative smaller change of transcriptome occurred in Kentucky blue grass in response to drought due to ETH pre-treatment (Fig 5A). The heatmap also indicates the overall effect of drought stress on transcription and allows for visualization of how ETH moderated the effects of drought stress on the transcriptome (Fig 6).
Fig 5

A. Venn diagram for all differentially expressed genes (DEGs) in Kentucky bluegrass B. Venn diagram for up-regulated genes in Kentucky bluegrass C. Venn diagram for down-regulated genes in Kentucky bluegrass. ‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought stressed plants with ethephon pre-treatment. DEGs were quantified at false discovery rate threshold (FDR) of 0.001 and log2 (fold change) larger than 2. Total DEGs for each comparison are shown in parenthesis.

Fig 6

Heat map of all differentially expressed genes in Kentucky bluegrass.

‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment.

A. Venn diagram for all differentially expressed genes (DEGs) in Kentucky bluegrass B. Venn diagram for up-regulated genes in Kentucky bluegrass C. Venn diagram for down-regulated genes in Kentucky bluegrass. ‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought stressed plants with ethephon pre-treatment. DEGs were quantified at false discovery rate threshold (FDR) of 0.001 and log2 (fold change) larger than 2. Total DEGs for each comparison are shown in parenthesis.

Heat map of all differentially expressed genes in Kentucky bluegrass.

‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment. A total of 24,465 genes were either up- or down-regulated when comparing drought stressed to well-watered control plants (Fig 5A). Gene ontology (GO) and enrichment analysis identified 2877 biological processes, 1422 molecular functions, and 622 cellular components (Fig 7A). A total of 3,890 genes were either up- or down-regulated when comparing ETH primed drought stressed to well-watered control plants (Fig 5A). Gene ontology (GO) and enrichment analysis identified 1892 biological processes, 863 molecular functions, and 404 cellular components (Fig 7B).
Fig 7

Enriched GO terms.

A. Drought vs CK; B. ETH_D vs CK. ‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment.

Enriched GO terms.

A. Drought vs CK; B. ETH_D vs CK. ‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment. It seemed that ETH treatment help plants dealing with drought by regulating muchlesser genes (3,890 vs 24,465) (Fig 5A). Therefore, only the genes most relevant to drought stress and ETH application are focused on the discussion part.

3.4 qRT-PCR validation of RNA-Seq results

Eight differentially expressed genes were randomly selected, including four genes from CK. (c111268_g1, c145507_g1, c117236_g1, c119413_g2) and four genes from ETH_D (c145664_g1, c128115_g1, c135104_g1, c93924_g1). Results showed that these genes used for qRT-PCR were all consistent with the RNA-Seq results (Pearson’s r = 0.98, P <0.001, Fig 8) (see S5 Data for data used to calculate the qRT-PCR validation of RNA-Seq).
Fig 8

Validation of DEGs data by qRT-PCR.

‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment.

Validation of DEGs data by qRT-PCR.

‘CK’ means well-watered control plants without ethephon pre-treatment. ‘Drought’ means drought-stressed plants without ethephon application. ‘ETH_D’ means drought-stressed plants with ethephon pre-treatment.

3.5 Differentially expressed genes due to drought and ETH

Drought caused extensive gene expression changes while drought and ETH caused less gene expression changes in Kentucky bluegrass plants, which indicated that ETH help plants coping with drought by mediating the regulation of fewer genes in response to drought. Therefore, in order to find the genes only regulated by ETH under drought stress, DEGs of these two comparisons [(ETH_D vs CK) vs (Drought vs CK)] were compared. Results showed 5.8% (123 out of 2105) of the transcripts were up-regulated (Fig 5B) and 2.5% (44 out of 1785) were down-regulated (Fig 5C) (DEGs up-regulated and down-regulated of [(ETH_D vs CK) vs (Drought vs CK)] were listed in S6 and S7 Data respectively). The mechanism of ethephon on drought tolerance of Kentucky bluegrass was analyzed by identifying DEGs involved in [(ETH_D vs CK) vs (Drought vs CK)] (Fig 9).
Fig 9

The mechanism for how ethephon regulates drought response and improves drought tolerance of Kentucky bluegrass.

The gene in red indicates that the gene is up-regulated and the gene in green indicates that the gene is down-regulated.

The mechanism for how ethephon regulates drought response and improves drought tolerance of Kentucky bluegrass.

The gene in red indicates that the gene is up-regulated and the gene in green indicates that the gene is down-regulated.

3.5.1 Plant hormone, signal transduction and plant defense

Ethylene Responsive Factor (AP2/ERF) family are conservatively widespread in the plant kingdom. Although the original acronym ERF, Ethylene-responsive transcription factor, has been maintained, responsiveness to the growth regulator ethylene is not a universal feature of this protein superfamily [37]. Two ERF genes were up regulated by ETH under drought in our study, ERF113 (2.3 fold) and ERF115 (2.4 fold). ERF113, also known as RELATED TO APETALA2.6L (RAP2.6L) in Arabidopsis, is induced by salt stress and drought [38, 39]. Additionally, ERF113 transcription is responsive to JA, salicylic acid, ABA and ethylene [39]. Correspondingly, ERF113 overexpression confers resistance to stresses that activate these hormones. For instance, overexpression of ERF113 triggers stomatal closure and enhances waterlogging tolerance [40]. In addition to the response to hormonal cues, ERF113 activity can further be linked to developmental processes, such as shoot regeneration from root explants and ovule development [41]. ERF113 also has a role in promoting cell division that is induced by wounding [38, 42]. ERF115 drives the quiescent center (QC) cell division in a brassinosteroid-dependent way but is restrained through proteolysis by ubiquitin ligase. The QC plays an essential role during root development by creating a microenvironment that preserves the stem cell fate of its surrounding cells. Maintaining a stem cell subpopulation that is used to replace damaged stem cells might represent a general mechanism to maintain a functional stem cell niche under stress conditions [43]. It is well known that phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2) plays important roles not only as a precursor lipid for generating second messengers but also as a regulator of cytoskeletal re-organization [44]. Recent examples of ion channel regulation by PI(4,5)P2 have been recently reported in plants. Since PI(4,5)P2 is mostly found in the plasma membrane, PI(4,5)P2 dependence is thought to restrict channel/transporter activity into this compartment and is important for stomatal opening [45]. As for the metabolizing pathways of PI(4,5)P2, there are three possible routes. One is conversion to PI(3,4,5)P3 by phosphatidylinositol 3-kinase. Second is hydrolysis to I(1,4,5)P3 and diacylglycerol by phospholipase C (PLC). Third is hydrolysis by PI(4,5)P2 phosphatase to PI(4)P [46]. Thus, PI(4,5)P2 levels are regulated by a balance of these metabolizing enzymes and synthesizing enzymes [47]. Type II PI(4,5)P2 phosphatase (Transmembrane protein 55A, 4.7 fold) is involved in the third PI(4,5)P2 metabolizing route: dephosphorylating the D4 position of PI(4,5)P2. Therefore, up regulation of this gene might decreased content of PI(4,5)P2 which may assist plant drought adaptation through stomata closure, ion channels activity and other transduction pathways involving second messengers derived from PI(4,5)P2 [48]. Transcript of a remorin gene (c103095_g1, Inf) was only detected in drought-stressed plants with ETH pre-treatment. This protein was named remorin due to its hydrophilic profile and its ability to attach to plasma membrane [49]. They probably facilitate cellular signal transduction by direct interaction with signaling proteins such as receptor-like kinases and may dynamically modulate their lateral segregation within plasma membranes [50]. The diverse and precise biological roles of different remorins remain to be investigated. However, the absence of remorins in algae, but their presence in mosses, ferns, and higher plants, suggests that the emergence of remorins coincided with the colonization of land and dealing with adverse drought and other osmotic stressed conditions [51, 52]. Transgenic Arabidopsis plants overexpressed heterologous remorin gene from mulberry [53] or foxtail millet (Setaria italica) [49] showed improved tolerance to abiotic stress including dehydration and salinity. How ETH treatment regulated remorin gene in response to drought is not clear. Yue et al. [49] reported that there is an DRE core elements in the promoter region of foxtail millet remorin gene 6 (SiREM6). One ABA responsive DREB transcription factor can bind to the DRE core elements. These results together suggest that ETH treatment might promote gene expression of remorin gene during drought stress in an ABA dependent signal transduction pathway. Plant defensin (c126749_g1) gene is up regulated in ETH pre-treated Kentucky bluegrass plants under drought stressed conditions (2.7 fold). Plant defensins are small, highly stable, cysteine-rich peptides and they constitute an important part of the innate immune system primarily against fungal pathogens [54, 55]. In addition to their role in biotic response, plant defensin also has potential in inducing abiotic stress tolerance. Many reports revealed that plant defensin is also up regulated by salicylic acid, abscisic acid, ethephon and wounding [56-58]. Therefore, under drought stress conditions ethephon may up-regulate defensin expression to induce drought tolerance.

3.5.2 Protein degradation and stabilization

A few genes associated with protein degradation and stabilization were up-regulated by ETH and drought treatment. For instance, a gene encoding chaperone protein ClpD1 (3.7 fold) was up-regulated in ETH treated plants under drought. ClpD1 may interact with a ClpP-like protease involved in degradation of denatured proteins in the chloroplast [59]. Previous studies revealed that ClpD1 plays a positive role during dehydration and salt stress [59, 60]. Ubiquitin (1.7817 fold) was also up-regulated by ETH under drought. The major function of ubiquitin is to facilitate protein degradation as an important component of the ubiquitin 26S proteasome system (UPS) in plant responses to abiotic stresses [61]. Proteasome activator pa28 beta subunit gene (1.8587 fold) was up regulated by ETH under drought. PA28 are activators that bind to proteasomes and stimulate the hydrolysis of peptides [62, 63]. Proteins of these up-regulated genes might perform an important role of removing potentially toxic proteins and misfolded or oxidized proteins that may accumulate as a result of exposure to drought stress. However, a cysteine proteinase inhibitor gene (1.74 fold) was up-regulated by ETH under drought. Cysteine proteases play an essential role in plant growth and development but also in senescence and programmed cell death [64]. They are among the plant proteases and are increased in their activity following stress [65, 66]. If the activity of the cysteine proteinases is too high, proteins required for metabolic processes degraded rapidly due to proteolysis [67]. It is therefore of great importance that the activity of the cysteine proteinases are accurately controlled in order to cope with drought. This is achieved, possibly through up regulation of cysteine proteinase inhibitor. Previous transgenic studies confirmed that cysteine proteinase inhibitor played active role in response to stress including drought [67-69].

3.5.3 Transportation and osmosis

ARFs confers tolerance to biotic and abiotic stresses in plant species [70]. Overexpression of an adenosine diphosphate-ribosylation factor gene from the halophytic grass Spartina alterniflora confers salinity and drought tolerance in transgenic Arabidopsis [71]. Ectopic expression of ADP ribosylation factor 1 (SaARF1) from smooth cordgrass (Spartina alterniflora Loisel) confers drought and salt tolerance in transgenic rice and Arabidopsis [72]. ADP-ribosylation factor-like protein (ARL) (Inf) (If the normalized readcounts of one particular gene in one sample is 0 and not 0 in another sample, fold change would be Inf or -Inf) belong to Ras superfamily of small GTP-binding proteins (GTPases). ARLs were identified on the basis of their sequence similarity with ARFs. GTP-binding has been shown for most ARL proteins, but all ARLs are essentially devoid of GTPase activity and activities described for ARF isotypes. Some ARLs appear to be involved in the regulation of protein and/or vesicle transport between cell organelles (ARL1, ARL4) or in the regulation of enzymatic activities controlling these processes (Arfrp1). In potato (Solanum tuberosum), six clones of ADP-ribosylation factor-like protein were up-regulated by salt treatment [73]. Gene expression induction of ARL in ETH treated plants under drought might facilitate the plants for higher exchange rates of ions, proteins and other molecules by protein and/or vesicle transport pathway. Amino acids are essential components of plant metabolism, not only as constituents of proteins, but also as precursors of important secondary metabolites and as carriers of organic nitrogen between the organs of the plant. Transport across intracellular membranes and translocation of amino acids within the plant are mediated by membrane amino acid transporters. However, the substrate selectivity and affinity of membrane amino acid transporters are generally different. Amino acid transport also plays a key role in leaf senescence and seed germination. Clearly, amino acid transport is a fundamental activity in plant growth [74]. A putative amino acid permease (AAP, 4.6 fold) was identified in ETH treated drought stressed plants. AAP is a family of amino acid transporters that preferentially transport glutamine, asparagine, glutamate, and neutral amino acids into plant cells [75]. GABA is a key regulator of ion channels in plants and animals [76]. Abiotic stresses including salt, anoxia, hypoxia, heat, mechanical damages, drought, cold, and waterlogging drive GABA accumulation in plants [77]. Vesicular GABA transporter (VGAT) belongs to solute carrier family 32 (vesicular inhibitory amino acid transporter) [78]. We identified a VGAT like protein (5.3 fold) regulated by ETH and drought in Kentucky bluegrass. The VGAT is known as the amino acid/auxin permease superfamily [79]. Two genes with low similarity to a vesicular GABA transporter, potentially functioning in cellular transport processes were also found to be commonly up-regulated in response to cellular water deficit in Arabidopsis [80]. It is possible that up-regulation of these amino acid transporters might be involved in amino acid-based osmotic regulation under drought in response to ETH treatment. Sulfur plays a pivotal role in plant metabolism and development. Evidence is emerging that a number of non-protein and protein thiols, together with a network of sulphur-containing molecules and related compounds, also fundamentally contribute to plant stress tolerance [81]. A serine acetyltransferase like protein (SERAT like, 4.6 fold) and a probable thiol methyltransferase 2 (2.6 fold) were up regulated by ETH and drought. Cysteine (Cys), as the first organic-reduced sulfur compound, contributes not only to life as building blocks in proteins, but it also serves as a precursor for the synthesis of Methionine (Met), glutathione (GSH), cofactors, essential vitamins, sulfur esters, and other sulfur derivatives. Cys synthesis is catalyzed by the sequential action of SERAT and O-acetylserine (thiol)lyase (OASTL), links Ser metabolism to Cys biosynthesis [82]. Overexpressing of bacterial SERAT in transgenic tobacco plants lead to increased resistance to oxidative stress [83]. Sulfite exporter TauE/SafE family gene (2.5 fold) were involved in regulation of plant-type hypersensitive response and they were defense-related and enriched with clock regulatory elements [84]. The proteins are involved in the transport of anions across the cytoplasmic membrane during taurine metabolism as an exporter of sulfoacetate [85]. Sulfite exporter TauE/SafE gene was also up-regulated in drought-stressed P. euphratica leaves [86]. Biopterin transporter (BT1 family, transmembrane protein, 4.1 fold, PFAM ID PF03092) belongs to the folate-biopterin transporter (FBT) family [87]. Folates take part in virtually every aspect of plant physiology. They play a role of donors and acceptors of one-carbon groups in one-carbon transfer reactions that take part in formation of numerous important biomolecules, such as nucleic acids, panthothenate (vitamin B5), amino acids [88]. The role of folates in plant stress response are also important. Folate supplementation was demonstrated to improve plant biotic stress resistance. Moreover, folate metabolism was shown to be differentially regulated in response to various abiotic stress conditions that pointed out its importance and possible specific adjustment in response to different stresses. Altogether these findings indicate that physiological roles and regulation of folate metabolism during development and stress response are important elements to be considered in the pursuit of crops with better productivity and improved stress tolerance [88]. Folate/biopterin transporter gene was induced by 48-h rehydration and inhibited by drought stress in shoot and panicle of rice (Oryza sativa) [89]. BT1 is also induced by Nitro-Linolenic Acid which plays strong signaling role in the defense mechanism against different abiotic-stress situations in Arabidopsis [90].

3.5.4 Antioxidant system and the glyoxalase pathway

Oxidative stress is one of the common consequences of abiotic stress including drought in plants, which is caused by excess generation of reactive oxygen species (ROS). SRG1 protein (c127636_g2, 2.3 fold), senescence-related gene, is a new member of the Fe(II)/ascorbate oxidase superfamily and SRG1 protein detoxify reactive oxygen produced during the oxidative stress induced by drought. It is revealed that SRG1 homolog gene in potato putatively contributes to potato drought tolerance [91]. SRG1 is regulated by WRKY transcription factors and involved in defense signaling pathways in Arabidopsis [92]. Therefore, up regulation of SRG1 protein by ETH might help improving ROS scavenging ability of Kentucky bluegrass under drought. In line with ROS, plants also produce a high amount of methylglyoxal (MG) in response to various abiotic stresses, which is highly reactive and cytotoxic. MG and ROS accumulation results in an imbalance in different cellular metabolic processes. The glyoxalase pathway acts to control excessive accumulation of MG and ROS in the system, either directly or in cooperation with other pathways involved in stress response [93, 94]. In addition, transgenic approaches in various plant models also have demonstrated the ability of glyoxalases in imparting abiotic stress tolerance [95, 96]. Therefore, we propose that up regulation of glyoxalase (c124305_g1, 3.8 fold) by ETH might help Kentucky bluegrass plants detoxify MG and improve plants performance under drought. Two proline dehydrogenase unigene (-2.3 and -2.6) catalyzes the first step in proline degradation and it is the rate-limiting enzyme in proline degradation [97]. Down regulation of proline dehydrogenase gene could lead to slower degradation of proline which would be an advantage [98].

3.5.5 Cell wall and cuticular wax

During drought, it is important for plants that the cell wall is rigid enough to resist internal turgor pressure. The plant invertase/pectin methyl esterase inhibitor (PMEI, c133760_g1, 2.1 fold) inhibits demethylesterification of pectins by inhibition of endogenous PME, which keeps up highly methylated pectin [99]. Pectin, one of major components of the plant cell wall, has been shown to play a key role in modulating cell wall structure in response to drought stress [100, 101]. Degree of methylesterification of pectins related to interaction of PME and PMEI could affect mechanical properties of cell wall such as plasticity, extensibility, fluidity and thickening and those properties could enable adaptation and/or resistance to abiotic stress [102, 103]. In addition, pectin may play important roles in drought adaptation through modulating stomata movement [99, 104]. Our study suggested that inductions of PMEI expression provide beneficial effects in plants drought responses and this result was consistent with other studies [86, 105]. A reduced amount of pectin, coincided with an increase in firmness. Putative galacturonosyltransferase (GAUT, c121058_g1, -2.8 fold) are required for the synthesis of pectin [106, 107]. Expansins are cell wall proteins that are implicated in the control of cell extension via the disruption of hydrogen bonds between cellulose and matrix glucans. Since they function as cell wall-loosening proteins [108], down regulation of expansin (EXPB2, c139601_g1,-1.9 fold) by ETH may improve cell wall plasticity of plants during prolonged drought. Cuticular wax has been implicated in defense mechanisms against biotic and abiotic stress including drought [109-111], possibly because the waterproof cuticular wax can counteract non-stomatal water loss during periodic drying and drought stress [112]. Two genes contributing to cuticular wax synthesis were identified in ETH and drought treated Kentucky bluegrass plants, (CER3, c90612_g1, 2.5 fold) and WAX2 (c135869_g1, Inf). CER3 is important for cuticular wax synthesis [113]. WAX2 is involved in synthesis of leaf cuticular wax and also cutin composition [114, 115]. One plant non-specific lipid-transfer protein (nsLTP, c120612_g1, 2.6 fold) was also up regulated by ETH in Kentucky bluegrass under drought. Plant non-specific lipid-transfer protein form a protein family of small, basic proteins ubiquitously distributed throughout the plant kingdom [116]. The members of this family are located extracellularly, usually associated with plant cell walls, and possess a broad lipid-binding specificity [117]. Plenty of studies reported that nsLTP genes played important roles in plants’ drought responses. For example, three nsLTPs genes are drought inducible in tomato [118] and one sugarcane (Saccharum hybrid complex) NsLTPs gene was up-regulated by PEG-simulated drought [119]. Over expression of nsLTP gene from Setaria italic in tobacco resulted in higher levels drought tolerance compared to wild type plants [120]. Similarly, enhanced drought tolerance of transgenic potato plants over-expressing non-specific lipid transfer protein-1 (STnsLTP1) was also observed [121]. While the mechanisms remain elucidated, one possible role of LTP in elevating drought tolerance is to promote cuticle deposition [117, 122].

3.5.6 Fatty acid unsaturation

Glycerol-3-phosphate acyltransferase (GPAT, 2.9 fold) catalyzes the transfer of an acyl group from an acyl donor to the sn-1 position of glycerol 3-phosphate. There are three types of GPAT in plant cells; they are localized in plastids (including chloroplasts), in the cytoplasm, and in mitochondria, respectively. Genetic engineering of the unsaturation of fatty acids has been achieved by manipulation of the cDNA for the GPAT found in chloroplasts and has allowed modification of the ability of tobacco to tolerate chilling temperatures [123]. Introduction of the cDNA for shape Arabidopsis glycerol-3-phosphate acyltransferase (GPAT) confers unsaturation of fatty acids and chilling tolerance of photosynthesis on rice [124]. Xu et al. [125] suggest that leaf dehydration tolerance and post-drought recovery in Kentucky bluegrass was associated with their ability to maintain relative higher proportion and level of unsaturated fatty acids. These studies together with ours suggested that higher expression of GPAT by ETH may lead to higher level of unsaturated fatty acids and therefore increased drought performance of ETH treated Kentucky bluegrass.

3.5.7 Photosynthesis

Photosynthesis is one of the key processes to be affected by water deficits [126]. RbcS gene was down regulated under both drought (-5.5 fold) and ETH treated drought (-3.2 fold) conditions while down regulation of RbcL (-3.1 fold) was only detected in drought treated plants. This indicates CO2 assimilation in ETH treated plant might be less inhibited by drought. Proton-transporting ATP synthase complex, coupling factor F0 (-3.2068 fold) was only down regulated in ETH treated plants under drought. ATP synthase activity is strictly related to photosynthesis because it transfers protons through the thylakoid membrane. Decrease expression of ATP synthase complex coupling factor F0 may protect the photosynthetic apparatus from photo-damage by mediating non-photochemical quenching [127]. In addition, decreased ATP under low RWC impairs protein synthesis, through inadequate energy supply, but may increase some types of proteins, e.g. molecular chaperones, because their production is regulated in different ways. Three up-regulated DEGs (ETH_D vs Drought) related to Photosystem II and electron transport were found in our study, cytochrome b559, plastocyanin like protein and Photosystem II reaction centre N protein (PsbN). Cytochrome b559 [alpha (gene psbE) and beta (gene psbF) subunits (2.9 fold)] is an essential component of photosystem II, catalyzing photosynthetic oxygen evolution [128]. Cytochrome b559 also plays a significant protective role for Photosystem II against photo inhibition during drought stress [129-132]. Plastocyanin like protein (3.1 fold) is involved in electron transport and it is responsive to drought both in barley and cassava [133, 134]. PsbN (2.8 fold) is required for hetero-dimerization of PSII reaction center in the stroma lamellae, and is required for early PSII assembly and repair [135, 136]. In summary, ETH pre-treatment might help plants maintain higher O2 evolution rate under drought and protect photosystem from photo-damages.

4. Conclusion

Ethephon could improve the drought tolerance of Kentucky bluegrass by elevating RWC and decreasing MDA under drought. On a whole transcriptome level, ethephon application affected genes associated with plant hormone, signal transduction pathway, plant defense, protein degradation and stabilization, transportation, osmosis, antioxidant system, the glyoxalase pathway, cell wall, cuticular wax, fatty acid unsaturation and photosynthesis of Kentucky bluegrass under drought stress. Genes mentioned in the discussion may be beneficial to better understand the mechanism of ethephon affecting plants stress responses.

Primer pairs for qRT-PCR.

(XLSX) Click here for additional data file.

Summary of sequencing data quality.

(XLS) Click here for additional data file.

Frequency distribution of splicing transcript length.

(XLSX) Click here for additional data file.

Reads alignment efficiency.

(XLSX) Click here for additional data file.

qRT-PCR validation of RNA-Seq results.

(XLSX) Click here for additional data file.

Up-regulated DEGs annotation of (ETH_D vs CK) vs (Drought vs CK).

(XLS) Click here for additional data file.

Down-regulated DEGs annotation of (ETH_D vs CK) vs (Drought vs CK).

(XLSX) Click here for additional data file. 1 Oct 2021 PONE-D-21-16354Transcriptome analysis of Kentucky bluegrass subject to drought and ethephon treatmentPLOS ONE Dear Dr. 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. Please submit your revised manuscript by Nov 14 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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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: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: No Reviewer #2: No ********** 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: No 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: In this manuscript, the authors have investigated how ethephon pretreatment could help to improve the drought tolerance of Kentucky bluegrass by carrying out a comparative transcriptomic studies on three different treatment groups i.e. control plants grown under well-watered conditions (CK), plants subjected to drought treatment without ethephon pretreatment (Drought) and plants subjected to drought treatment with ethephon pretreatment (ETH_D). The conclusion appears to be that the ethephon pretreatment might improve the drought tolerance of Kentucky bluegrass by modulating the expression of several genes associated with protein degradation and stabilization, phytohormones, intracellular transport, antioxidant system and the glyoxalase pathway, cell wall and cuticular wax, signal transduction pathway, fatty acid unsaturation, photosynthesis and defense and osmoregulation. The scientific content of the present study design is useful for understanding how ethephon pretreatment can help in improving the drought tolerance in Kentucky bluegrass. This study will also help to identify the potential candidate genes that can be genetically engineered to enhance drought tolerance in plants. However, the manuscript needs extensive revision for typographical errors and grammar. Reviewer #2: The manuscript titled “Transcriptome analysis of Kentucky bluegrass subject to drought and ethephon treatment”, describe a technically sound piece of scientific research where Illumina RNAseq analysis has been performed on drought and ethephon treated Kentucky bluegrass and the relative water content and malondialdehyde content were measured, with validation of few differentially expressed genes. The authors made all data underlying the findings in their manuscript fully available. The language in submitted articles is clear, correct, and unambiguous. However, some major concerns need to be addressed • Most conclusions are exaggerated and are drawn based on RNAseq data with qRT-PCR validation of randomly selected eight differentially expressed genes. • The statistical analysis has not been performed for any of the experiments especially for Relative water content (RWC) and Malondialdehyde (MDA) content. Even though statement significantly increased and decreased is used without performing the statistical test. Based on MDA and RWC content, we cannot conclude that ethephon could improve the drought tolerance of Kentucky bluegrass. Few more assays need to be performed before drawing any of the conclusions. • Authors need to show representative images of plants before and after drought stress with ethephon treatment, to understand any physiological changes in control, drought and ethephon treated plants. • Authors have claimed that changes in the cell wall and cuticular wax along with proline, antioxidant enzymes and unsaturated fatty acids levels due to ethephon treatment has improved the Kentucky bluegrass drought tolerance, based on expression levels. Authors need to further support their findings and claims by performing assays and anatomical studies. • Authors need to improve the quality of the figures provided. In Fig.6, provide the name of genes instead of gene I.D’s, as authors have not mentioned which gene I.D represent which gene. Also, need to discuss two downregulated genes (c117236 and c119413) in fig.6. • The objective of this study was to investigate the effect of ethephon on drought tolerance of Kentucky bluegrass and to understand the underlying mechanism by analyzing and identifying genes involved in ethephon mediated drought tolerance improvement, which authors had not provide any mechanism or tentative figure which assimilates the whole study into hypothesis and randomly selected eight differentially expressed genes does not prove or show any mechanism as such. This study is a more theoretical approach than experimental in revealing the mechanism for how ethephon regulates drought response and improves drought tolerance of Kentucky bluegrass. Overall, authors need to perform few more assays with proper statistical analysis which can support the conclusions drawn by authors and submit high-quality figures. ********** 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: Monika Bhuria Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. Submitted filename: Comments for PONE-D-21-16354.docx Click here for additional data file. Submitted filename: Reviewer comments.docx Click here for additional data file. 13 Nov 2021 Response to Reviewer #1: 1. In the sub section 2.1, authors have discussed about the well-watered control plants with ethephon pre-treatment (ETH). However, authors did not provide any data related to this group. Response: Discussions related to well-watered control plants with ethephon pre-treatment (ETH) was deleted. In this study, we want to investigate the effect of ethephon on drought tolerance of Kentucky bluegrass by comparing and analyzing DEGs between (ETH_D vs CK) and (Drought vs CK). Therefore, we decided to delete the corresponding part related to well-watered control plants with ethephon pre-treatment (ETH). 2. In the sub section 2.3, authors should provide manufacturer’s country for the TRIzol kit used for RNA isolation. Response: The manufacturer’s country for the TRIzol kit used for RNA isolation has been added. 3. In the sub section 2.6, authors should provide manufacturer’s name and country for qPCR kit used for two-step qRT-PCR detection. Response: The manufacturer’s name and country for qPCR kit used for two-step qRT-PCR detection have been added. 4. In the sub section 2.6, authors should mention the citation for evaluating the relative quantitative data using the 2-ΔΔ CT method. Response: The citation for evaluating the relative quantitative data using the 2-ΔΔ CT method has been added. 5. In the sub-section 3.3, please properly mention the different sub-figures of Fig. 3 in the text while explaining the figure. Response: Revised. 6. In the sub-section 3.5, please correct the sentence by adding ‘regulation of’ in the line “with drought by mediating the regulation of fewer genes in response to drought”. Response: Corrected. 7. In the sub-section 3.5.1, please mention the plant in which ERF113 have been characterized. Response: Revised. 8. The manuscript needs to be proofread. Please correctly frame the sentences. e.g. “Type II PI(4,5)P2 phosphatase (Transmembrane protein 55A, 4.7 fold) identified………..transduction pathways”. “Ras superfamily of small GTP-binding proteins (GTPases) the involvement of ARFs in …………….stresses in plant species”. “Transgenic Arabidopsis plants overexpressing heterologous remorin gene………..including dehydration and salinity”. “They are among the plant proteases that are increased in their activity following stress”. “Abiotic stresses drive …………including salt, anoxia, hypoxia, heat, mechanical damages, drought, cold, and waterlogging”. “During drought…………………..internal turgor pressure is important”. “In addition, pectin may ………………by modulation of stomata movement”. Response: We sincerely appreciated the carefulness and suggestions from the reviewer and revised accordingly. 9. The acronym for ADP-ribosylation factor-like protein is ARL and please correct the line as “ARF and ADP-ribosylation factor-like protein (ARL) belong to Ras”. Response: We have corrected it as suggested. 10. Please italicize the scientific name of plants in the entire manuscript. e.g. “Spartina alterniflora Loisel” “Arabidopsis”, Oryza sativa Response: Revised as suggested. 11. Proofread the entire manuscript for typographical and grammatical errors. e.g. “Tanscript of a remorin gene…..” correct the spelling of Transcript. “also serves as a precursor for the syntheses of Methionine (Met), glutathione” correct the spelling of synthesis.” “Plastocyanin like protein (3.1 fold) is evolved in electron transport and…..” correct the spelling of involved. “Plant defensins are small, highly stable, cysteine-rich peptides constitute a part of the innate…… pathogens”. “ETH treatment caused up-regulation of genes under drought associated with protein degradation and stabilization.” “Transport across intracellular membranes………………….mediated by membrane amino acid transporters generally differ in substrate selectivity and affinity”. “The VGAT is initially……………….. know as the amino acid/auxin permease superfamily”. “Sulfite exporter TauE/SafE gene were also up-regulated” “While the mechanisms remains elucidated, one possible role….” “Photosystem II and electron transport were found up regulated by drought in ETH treated plants……..” “ETH treatment might help plants maintain higher O2 evolution…..”. Response: We proofread the entire manuscript and revised accordingly. We really appreciated the reviewer for the time spent on this manuscript. 12. In the line, “Proline dehydrogenase (-2.3 and -2.6) catalyzes the”, Please mention what – 2.3 and – 2.6 are specifying and mention the gene name given in the RNA seq data. Response: Revised. Should be “Two proline dehydrogenase unigene (-2.3 and -2.6) catalyzes......”. 13. In the line, “CER3 (c90612_g1, 2.5 fold) and WAX2 (c135869_g1, Inf)” what does Inf specify? Response: If the normalized readcounts of one particular gene in one sample is 0 and not 0 in another sample, fold change would be Inf or -Inf. 14. Fig. 1A is not mentioned anywhere in the text. Response: Fig 1A (Fig 1 in revised manuscript) was mentioned the sub section 2.1 for methods explanation. 15. Please mention the supplementary data where it is discussed in the text. Response: We have mentioned supplementary data in the text where it has been discussed. 16. In Fig. 6, perform the statistical analysis to determine the significance for the differences in the RNA seq and qRT-PCR. Response: Instead of carrying out a statistical analysis by LSD value for the same gene between RNA-Seq results and qRT-PCR expression, we performed a correlation statistical analysis. The correlation between RNA-Seq results and qRT-PCR expression was analyzed to get Pearson’s correlation coefficients as describe in sub section 3.4 (Pearson’s r = 0.98 and P 0.001). 17. Author should follow authors guidelines of PLoS One for writing references. Response: We have revised the references accordingly. 18. Authors should maintain uniformity while writing the references Response: References are revised. Response to Reviewer #2: 1. Most conclusions are exaggerated and are drawn based on RNAseq data with qRT-PCR validation of randomly selected eight differentially expressed genes. Response: Conclusions from our study are drawn based on a verified RNAseq data set combined with analysis from various published data as discussed in the manuscript. 2. The statistical analysis has not been performed for any of the experiments especially for Relative water content (RWC) and Malondialdehyde (MDA) content. Even though statement significantly increased and decreased is used without performing the statistical test. Based on MDA and RWC content, we cannot conclude that ethephon could improve the drought tolerance of Kentucky bluegrass. Few more assays need to be performed before drawing any of the conclusions. Response: The statistical analysis result of Relative water content (RWC) and Malondialdehyde (MDA) content has been added and noted in the corresponding figure. As suggested, we provided additional images to support our physiological data. For Kentucky bluegrass, RWC and MDA are two key and confirmed indicators for drought tolerance and they are used and investigated in many turfgrass studies for drought tolerance comparison and evaluation. The relevant studied have been mentioned in the corresponding results and discussion. 3. Authors need to show representative images of plants before and after drought stress with ethephon treatment, to understand any physiological changes in control, drought and ethephon treated plants. Response: The representative images of Kentucky bluegrass plants in well-watered conditions, drought-stressed conditions and ethephon-pretreated plants under drought-stressed conditions have been added accordingly. 4. Authors have claimed that changes in the cell wall and cuticular wax along with proline, antioxidant enzymes and unsaturated fatty acids levels due to ethephon treatment has improved the Kentucky bluegrass drought tolerance, based on expression levels. Authors need to further support their findings and claims by performing assays and anatomical studies. Response: We agree that with corresponding assays and anatomical analysis, the conclusions of this study would be more consolidated and thoroughly confirmed. Meanwhile, this study could still provide meaningful gene regulation information to understand the mechanism underlying ethephon-promoted drought tolerance of Kentucky bluegrass. To date, there is few research on this particular aspect. We hope this study could lay a basic and informative foundation for more and more detailed and experimental research in the future. 5. Authors need to improve the quality of the figures provided. In Fig.6, provide the name of genes instead of gene I.D’s, as authors have not mentioned which gene I.D represent which gene. Also, need to discuss two downregulated genes (c117236 and c119413) in fig.6. Response: Genes in Fig 6 (Fig 8 in the revised manuscript) were selected randomly to verify the effectiveness of RNA-Seq data for further expression level analysis. Genes that we discussed in the text were selected based on the comparison of DEGs between different sampling groups. Gene I.Ds and corresponding names were listed in the Supplementary Data 6 and 7, and were highlighted accordingly. 6. The objective of this study was to investigate the effect of ethephon on drought tolerance of Kentucky bluegrass and to understand the underlying mechanism by analyzing and identifying genes involved in ethephon mediated drought tolerance improvement, which authors had not provide any mechanism or tentative figure which assimilates the whole study into hypothesis and randomly selected eight differentially expressed genes does not prove or show any mechanism as such. This study is a more theoretical approach than experimental in revealing the mechanism for how ethephon regulates drought response and improves drought tolerance of Kentucky bluegrass. Response: We appreciated the reviewer’s suggestion. The idea to generalize the tentative mechanism into figure is really helpful in improving our manuscript. As suggested, Fig 9 was added to provide a mechanism hypothesis based on results from the whole study. Submitted filename: Response to reviewers.docx Click here for additional data file. 3 Dec 2021 Transcriptome analysis of Kentucky bluegrass subject to drought and ethephon treatment PONE-D-21-16354R1 Dear Dr. 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. 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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 ********** 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 substantially revised the manuscript and addressed all the raised concerns. The manuscript can be accepted in its current form. ********** 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: Monika Bhuria 7 Dec 2021 PONE-D-21-16354R1 Transcriptome analysis of Kentucky bluegrass subject to drought and ethephon treatment 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. 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  111 in total

1.  Effect of dehydration on light-induced reactions in photosystem II: photoreactions of cytochrome b559.

Authors:  Olga Kaminskaya; Gernot Renger; Vladimir A Shuvalov
Journal:  Biochemistry       Date:  2003-07-15       Impact factor: 3.162

Review 2.  Regulation of amino acid metabolic enzymes and transporters in plants.

Authors:  Réjane Pratelli; Guillaume Pilot
Journal:  J Exp Bot       Date:  2014-08-11       Impact factor: 6.992

3.  Ethephon improved drought tolerance in maize seedlings by modulating cuticular wax biosynthesis and membrane stability.

Authors:  Haiyue Yu; Yushi Zhang; Yan Xie; Yubin Wang; Liusheng Duan; Mingcai Zhang; Zhaohu Li
Journal:  J Plant Physiol       Date:  2017-04-25       Impact factor: 3.549

4.  Wax crystal-sparse leaf2, a rice homologue of WAX2/GL1, is involved in synthesis of leaf cuticular wax.

Authors:  Bigang Mao; Zhijun Cheng; Cailin Lei; Fenghua Xu; Suwei Gao; Yulong Ren; Jiulin Wang; Xin Zhang; Jie Wang; Fuqing Wu; Xiuping Guo; Xiaolu Liu; Chuanyin Wu; Haiyang Wang; Jianmin Wan
Journal:  Planta       Date:  2011-08-02       Impact factor: 4.116

5.  Identification of drought-inducible genes and differentially expressed sequence tags in barley.

Authors:  Ayman A Diab; Béatrice Teulat-Merah; Dominique This; Neslihan Z Ozturk; David Benscher; Mark E Sorrells
Journal:  Theor Appl Genet       Date:  2004-10-26       Impact factor: 5.699

6.  Full-length transcriptome sequences and splice variants obtained by a combination of sequencing platforms applied to different root tissues of Salvia miltiorrhiza and tanshinone biosynthesis.

Authors:  Zhichao Xu; Reuben J Peters; Jason Weirather; Hongmei Luo; Baosheng Liao; Xin Zhang; Yingjie Zhu; Aijia Ji; Bing Zhang; Songnian Hu; Kin Fai Au; Jingyuan Song; Shilin Chen
Journal:  Plant J       Date:  2015-05-25       Impact factor: 6.417

7.  Two cysteine proteinase inhibitors from Arabidopsis thaliana, AtCYSa and AtCYSb, increasing the salt, drought, oxidation and cold tolerance.

Authors:  Xinxin Zhang; Shenkui Liu; Tetsuo Takano
Journal:  Plant Mol Biol       Date:  2008-06-04       Impact factor: 4.076

8.  Comprehensive RNA sequencing and co-expression network analysis to complete the biosynthetic pathway of coumestrol, a phytoestrogen.

Authors:  Jungmin Ha; Young-Gyu Kang; Taeyoung Lee; Myoyeon Kim; Min Young Yoon; Eunsoo Lee; Xuefei Yang; Donghyun Kim; Yong-Jin Kim; Tae Ryong Lee; Moon Young Kim; Suk-Ha Lee
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

9.  Open or close the gate - stomata action under the control of phytohormones in drought stress conditions.

Authors:  Agata Daszkowska-Golec; Iwona Szarejko
Journal:  Front Plant Sci       Date:  2013-05-13       Impact factor: 5.753

10.  Characterization of an 18,166 EST dataset for cassava (Manihot esculenta Crantz) enriched for drought-responsive genes.

Authors:  Y Lokko; J V Anderson; S Rudd; A Raji; D Horvath; M A Mikel; R Kim; L Liu; A Hernandez; A G O Dixon; I L Ingelbrecht
Journal:  Plant Cell Rep       Date:  2007-05-31       Impact factor: 4.964

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