Abstract
Polyamines (PAs) contribute to diverse plant processes, environmental interaction, and stress responses. In citrus, the mechanism underlying the biosynthesis of polyamines is poorly understood. The present study aims to identify the biosynthesis of PA gene family members in satsuma mandarin (Citrus unshiu) and investigate their response against various stresses. The identified biosynthesis of PA genes in C. unshiu showed clustering in six groups, i.e., SPMS, SPDS, ACL5, ADC, ODC, and SAMDC. Syntenic analysis revealed that segmental duplication was prevalent among the biosynthesis of PA genes compared to tandem duplication. Thus, it might be the main reason for diversity in the gene family in C. unshiu. Almost all biosynthesis of PA gene family members in C. unshiu showed syntenic blocks in the genome of Arabidopsis, Citrus sinensis, Poncirus trifoliata, and Citrus reticulata. Analysis of Cis-regulatory elements (CREs) indicated the occurrence of hormones, light, defense, and environmental stress responses as well as the development and other plant mechanisms-related elements in the upstream sequence of the biosynthesis of PA genes. Expression profiling revealed that the biosynthesis of PA gene expression modulates in different organs during various developmental stages and stress in C. unshiu. This information will provide a deep understanding of genomic information and its expression in multiple tissues to better understand its potential application in functional genomics.
Keywords: abiotic stress, Citrus unshiu, polyamines
1. Introduction
Polyamines (PA) are low molecular weight, small linear/aliphatic, or sometimes branched polycationic nitrogen-containing compounds, including unsaturated hydrocarbons with two or more primary amino groups [1,2,3,4]. At normal cell pH, the structure of PA is characterized by cations and contains methylene. According to reports, these methylene groups participate in hydrophobic interactions and significantly affect the activity of PA [5]. In addition, as PAs are cationic, they can react with negatively charged macromolecules such as acidic phospholipids, nucleic acids (DNA and RNA), and various proteins [6], helping them to stabilize their structure, especially during stress. Putrescine (diamine), spermidine (triamine), and spermine (tetramine) are the most common PAs in higher plants [7,8]. However, numerous different PAs, for instance, the triamines sym-norspermidine (C6H17N3) and symhomospermidine (C8H21N3); the diamines 1,3-diamino propane (C3H10N2) and cadaverine (C5H14N2); the tetra-amines symnorspermine (C9H24N4) and thermospermine (C10H26N4); and relatively long or branched polyamines are relatively uncommon [8].
C. unshiu is a cold-hardy species, and the fruit grows sweeter when cultivated in cold climates due to the lower temperatures. A fully matured satsuma tree can withstand temperatures as low as −9 °C (15 °F) to −11 °C (12 °F) for a few hours [9]. Satsumas could be grafted onto other citrus rootstocks, such as trifoliate orange, or germinated from seeds, which takes up to eight years or more [10]. The genus Citrus of the family Rutaceae is among the most cultivated fruit crops on the planet [11]. Citrus spp. could thrive in latitudes ranging from 35° to 40° degrees north and south [11,12]. Hence, they are known to be tropical or subtropical [13].
Previously, organic acids, phytohormones, amino acids, fatty acids, secondary metabolites, and polyamines were identified and associated with physiological functions in citrus plants. PAs are involved in plant development, growth, and several physiological mechanisms in citrus, such as embryogenesis [14,15], root morphology, and development [16,17]; vegetative growth [18,19,20]; flowering [21,22]; growth parameters [18,23]; and photosynthetic pigments [7,24]. Unfortunately, the underlying molecular mechanisms of these roles in C. unshiu are still unclear.
In citrus, PAs regulate multiple plant growth and developmental processes. PAs play significant multiregulatory functions at several citrus plant developmental mechanisms and growth stages. Even though our understanding of these functions is yet confined, several functions are still to be investigated. In the available reports, there is still no comprehensive research on the genome-wide identification of the biosynthesis of polyamine gene families in C. unshiu. For this study, we conducted a genome-wide analysis of the biosynthesis of PA family genes and analyzed expression profiles. Our research provides a basis for subsequent functional genomics studies of the biosynthesis of the PA gene and its potential role in regulation during various developmental stages and in response to different stresses in C. unshiu at the molecular level.
2. Materials and Methods
2.1. Plant Material, Growth Condition and Transcriptome Analysis
Eight-year-old plants of satsuma mandarin (C. unshiu Marc.) cultivar “Yamashitabeni wase” grafted onto the trifoliate orange (P. trifoliate L.) rootstocks were exposed to peel roughing disorder of satsuma mandarin. The experiment was performed at the greenhouse at the University of the Punjab, Pakistan in April 2023. The grafted plants were developed in a greenhouse with a photoperiod of 16/8 h (day/night) at 25 C and at a constant relative humidity of 70% for two months. The data was collected after specific time intervals of 30 days, 80 days, and 170 days. A total of 6 samples were taken from both affected and control groups, with three from each group, and kept at −80 °C until further research.
To analyze the external stimuli-specific expression profile of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC in various organs, we obtained previously generated RNA-seq data of plants under several biotic, abiotic, and physiological stresses from National Center for Biotechnology Information- Gene Expression Omnibus (NCBI-GEO) (https://www.ncbi.nlm.nih.gov/geo/ (accessed on 16 April 2023)) [25,26]. These stresses include peel roughing disorder of satsuma mandarin, seedling etiolation, and light drought. Heatmap Illustrator in TBtools (v 1.09) with parameters (cluster: complete; dist method: euclidean; scale: normalized) displayed expression patterns with hierarchical clustering [27].
2.2. Database Search, Sequence Retrieval, and Physiochemical Properties
The amino acid sequence of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC was retrieved from C. unshiu (v1.0) Mikan genome database (MiGD) (https://mikan.dna.affrc.go.jp/index.html (accessed on 16 April 2023)) [28]. Amino acids (AA) sequence of SPMS domain (PF01564), SPDS domain (PF17284), ACL5 domain (PTHR43317), ADC domain (PF02784), and SAMDC domain (PF01536) was retrieved from Arabidopsis thaliana, while ODC domain (PF00278) was retrieved from C. sinensis, as A. thaliana lack ODC genes, using Pfam database (https://pfam.xfam.org/ (accessed on 16 April 2023)). These domains’ peptide sequences were used to identify SPMS, SPDS, ACL5, ADC, ODC, and SAMDC protein-encoding genes in the C. unshiu.
Furthermore, the protein sequences of the reported biosynthesis of Arabidopsis PA family genes were retrieved from TAIR at Phytozome v13 (https://phytozome-next.jgi.doe.gov/info/Athaliana_TAIR10 (accessed on 16 April 2023)), which consisted of two AtADC genes (AT2G16500 and AT4G34710), two AtSPDS genes (AT1G23820 and AT1G70310), single AtSPMS gene (AT5G53120), and single AtACL5 gene (AT5G19530). In contrast, CsODC (CISIN_1g015304mg) was retrieved from NCBI (https://www.ncbi.nlm.nih.gov/protein/ (accessed on 17 April 2023)). These sequences were then used for BLAST-P (Protein- basic local alignment search tool) search in C. unshiu, and SequnceServer 1.0.13 (https://mikan.dna.affrc.go.jp/blast/ (accessed on 17 April 2023)) was used to reconfirm the retrieved SPMS, SPDS, ACL5, ADC, ODC, and SAMDC proteins in C. unshiu. The retrieved amino acid sequences were subjected to NCBI CDD (Conserved Domain Database) (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi (accessed on 17 April 2023)) with the default parameters [29].
The protein length (amino acid residues), theoretical pI, and molecular weight of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC proteins were predicted using ProtParam tool (https://web.expasy.org/protparam/ (accessed on 20 April 2023)) with software built-in default parameters [30]. The information about the gene IDs, location, gene sequence, and protein were retrieved from Mikan genome database (MiGD). Subcellular localization of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC was predicted using the online tool WoLF PSORT with default built-in parameters (https://wolfpsort.hgc.jp/ (accessed on 20 April 2023)) [31].
2.3. Multiple Sequence Alignment, Phylogenetic Analysis, and the Biosynthesis of PA Gene Orthologs in Arabidopsis
The amino acid sequences of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC proteins of three species, C. unshiu, A. thaliana, and Citrus sinensis, were aligned using muscle alignment tool and a phylogenetic tree was created through MEGA X v2.0 [32] program with the neighbor-joining (NJ) method and bootstrap was set at 1000 replications with partial deletion.
Protein homologs of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes of C. unshiu were identified in A. thaliana through protein–protein BLAST (blastp) on NCBI. The analysis was conducted using protein sequences of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes against the whole genome of A. thaliana (taxonomy id: 3702) with all parameters set as default.
2.4. Conserved Motifs, Cis-Element, and Gene Structural Analysis
Multiple EM for Motif Elicitation (MEME) program (https://meme-suite.org/meme/ (accessed on 21 April 2023)) was used to analyze motifs in the retrieved CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC protein sequences with the maximum number of motifs set as 20; the width of motif was set as default values along with other factors [33]. A visual representation of the motifs was created using the Gene Structure View (Advanced) software in TBtools with default parameters [34]. A sequence of 1000 bps upstream was retrieved from the initiation codon to analyze the promoter region. PlantCare database (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/ (accessed on 21 April 2023)) was then used to predict the cisregulatory elements in these sequences [35].
To find out the arrangement of intron/exon of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes, the genomic sequences and genomic feature file of identified genes in C. unshiu were retrieved and used to draw the gene structure. The motifs were visually represented using the gene structure view (advanced) software in TBtools with default parameters [27].
2.5. Scaffold Location, Synteny Analysis, and Gene Duplication Event
The information regarding scaffold length and location of genes was extracted from the C. unshiu genome database, and gene location was visualized through Tbtools. Gene pairs of C. unshiu such as SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes of C. unshui were created through Tbtools, and synteny analysis was conducted using the Advanced Circos program in Tbtools with default parameters [36]. The genome and gff3 files of C. unshiu were retrieved from Mikan genome database (MiGD) and C. sinensis from citrus genome database (https://www.citrusgenomedb.org/ (accessed on 25 April 2023)). In contrast, those of A. thaliana, and Solanum tuberosum were retrieved from Phytozome database (https://phytozome-next.jgi.doe.gov/ (accessed on 25 April 2023)) to display the syntenic blocks of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes of C. unshiu in the genomes of C. unshiu, A. thaliana, S. tuberosum, and C. sinensis. The syntenic maps were constructed using the One Step MCScanX and Dual Systeny Plot in TBtools with default parameters.
The number of nonsynonymous (Ka) and synonymous (Ks) substitution rates and Ka/Ks ratios were calculated using the simple Ka/Ks calculator through TBTools software [27]. The parameters were set as described inside the software package manual. The Ka/Ks ratios were used to predict the rates of molecular evolution of each paralogous gene pair of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes [37]. Generally, a Ka/Ks ratio greater than one indicates positive selection and a ratio of close to 1 indicates neutral selection. In contrast, a ratio of less than 1 indicates the probability of purifying selection, which leads to limited functional divergence of the duplicated genes [38].
2.6. Effect of Peel Roughing Disease Stress on C. unshiu PA Biosynthestic Genes
The experiment for transcriptome profiling of C. unshiu plants during a physiological disorder was designed to expose eight-year-old plants of “Yamashitabeni wase” cultivar of satsuma mandarin (C. unshiu Marc.) grafted onto the trifoliate orange (P. trifoliate L.) rootstocks were exposed to peel roughing disorder of satsuma mandarin. The data was collected after specific time intervals of 30 days, 80 days, and 170 days. A total of 6 samples were taken from both affected and control groups, i.e., three from each group [39]. Transcriptomic data was generated through high throughput sequencing (GSE100512) to understand the variation in gene expression of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC in response to the stress, and a graph and heatmap were created to display the pattern.
2.7. Citrus unshiu Plant under Seedling Etiolation
To understand the signaling pathways and gene regulation associated with etiolation in citrus, two citrus hybrid cultivars Shiranuhi (C. unshiu x C. sinensis) x C. reticulata) and Huangguogan (C. reticulata x C. sinensis) were studied for this purpose. The seedling of the two hybrids was grown under light-deprived conditions. The variance in global gene expression between etiolated seedlings and the control group was carried out through high-throughput Illumina sequencing (GSE90935).
2.8. Light Drought Effect on C. unshiu PA Biosynthetic Genes during Induction of Flowering Branches
To understand the relationship between the development of flowering branches during drought conditions and the sequence of molecular changes and gene expression modulation responsible for producing flowering in C. unshiu, plants were exposed to light drought conditions for 75 days. Then, gene expression variance (GSE202927) was studied between light drought (LD) by comparing them with a conventionally watered group (CK).
3. Results
3.1. Identification and Characterization of the Biosynthesis of the PA Gene Family in C. unshiu
To identify the SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes in C. unshiu, the protein sequence of SPMS, SPDS, ACL5, ADC, ODC domains from C. unshiu retrieved from Pfam were BLAST against the whole genome of C. unshiu (C. unshiu v1.0). An initial investigation identified two SPMS, four SPDS, three ACL5, three ADC, three ODC, and five SAMDC proteins. The proteins encoded by the same gene isoforms and proteins containing the truncated domains were excluded from the analysis. Finally, a total of single SPMS, two SPDS, two ACL5, single ADC, two ODC, and five SAMDC nonredundant PA biosynthetic genes were identified and used for further analysis.
CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes encode proteins ranging from 196 to 681 amino acids in length, having molecular weights that range from 22151.38 to 76854.2 kD, making CuACL5-1 and CuADC the largest proteins. The isoelectric points of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC proteins ranged from 4.96 to 7.2 (Table 1).
Table 1.
Gene ID | Gene Name | Scaffold ID | Start | End | D | AA | MW (Kda) | pI |
---|---|---|---|---|---|---|---|---|
C_unshiu_00003:mRNA_4.1 | CuSPMS | C_unshiu_00003 | 40193 | 44670 | R | 338 | 38653.7 | 5.5 |
C_unshiu_00004:mRNA_33.1 | CuSPDS1 | C_unshiu_00004 | 260305 | 263596 | R | 399 | 44011.5 | 5.2 |
C_unshiu_00092:mRNA_48.1 | CuSPDS2 | C_unshiu_00092 | 340652 | 344223 | R | 356 | 40805.8 | 5.3 |
C_unshiu_00498:mRNA_14.1 | CuACL5-1 | C_unshiu_00498 | 87851 | 90568 | R | 196 | 22151.4 | 5.6 |
C_unshiu_00051:mRNA_69.1 | CuACL5-2 | C_unshiu_00051 | 560073 | 563136 | R | 337 | 37747.7 | 5.4 |
C_unshiu_00918:mRNA_1.1 | CuADC | C_unshiu_00918 | 5010 | 7626 | F | 681 | 76854.2 | 5.1 |
C_unshiu_00140:mRNA_18.1 | CuODC1 | C_unshiu_00140 | 217799 | 218944 | F | 381 | 41218 | 5.7 |
C_unshiu_00902:mRNA_4.1 | CuODC2 | C_unshiu_00902 | 47979 | 49265 | F | 399 | 45316.1 | 7.2 |
C_unshiu_00310:mRNA_10.1 | CuSAMDC1 | C_unshiu_00310 | 93929 | 95562 | F | 413 | 45414.5 | 5.2 |
C_unshiu_00098:mRNA_50.1 | CuSAMDC2 | C_unshiu_00098 | 332348 | 333433 | F | 361 | 39849.1 | 5 |
C_unshiu_00562:mRNA_14.1 | CuSAMDC3 | C_unshiu_00562 | 106938 | 108153 | R | 376 | 40852.4 | 5.5 |
C_unshiu_00394:mRNA_35.1 | CuSAMDC4 | C_unshiu_00394 | 222794 | 223852 | F | 352 | 39289.6 | 5.2 |
C_unshiu_00366:mRNA_33.1 | CuSAMDC5 | C_unshiu_00366 | 221007 | 225078 | F | 456 | 51360.6 | 5.6 |
(Note: D = Direction, R = Reverse, F = Forward, AA = Amino Acid, MW = Molecular Weight, pI = isoelectric point).
3.2. Comparative Phylogenetic and Orthologs Analysis of PA Biosynthetic Genes
The phylogenetic analysis of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC proteins of C. unshiu genes was conducted and compared with A. thaliana and C. sinensis genes. To investigate the evolutionary relationships between CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC; CsSPMS, CsSPDS, CsACL5, CsADC, CsODC, and CsSAMDC: and AtSPMS, AtSPDS, AtACL5, AtADC, AtODC, and AtSAMDC, a phylogenetic tree was constructed using the neighbor-joining (NJ) method through MEGA X v10.2.4 by aligning full-length protein sequences.
The results showed six main clades emerging from the rooted tree, forming six groups of polyamine biosynthetic genes: SPMS, SPDS, ACL5, ADC, ODC, and SAMDC. SPMS consists of five members with a single gene of C. unshiu, a single gene of A. thaliana, and three genes of C. sinensis; the SPDS group contains six members, two from each species; the ACL5 group has four members, two of which are C. unshiu, with single genes of A. thaliana and C. sinensis; the ADC group consists of four members, two of which are A. thaliana genes, with one from C. unshiu and C. sinensis; the ODC group contains five members, three from C. sinensis and two from C. unshiu; and Arabidopsis is absent as it does not contain ODC in its genome. SAMDC is the largest group comprising thirteen members, with five from C. unshiu, while A. thaliana and C. sinensis has four members each (Figure 1).
It was noticed that CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes appeared in the same clade in their respective groups, with A. thaliana and C. sinensis. Interestingly, C. unshiu and C. sinensis genes appeared to be in the same clade and subclades in most cases in all groups showing a very close relationship between both species (Figure 1).
Orthologous proteins in different species have been observed to show similar biological functions. In this study, CuSPMS showed up to 74% identity with AtSPMS, reportedly involved in growth, flowering, and defense response against bacteria. CuSPDS1 and CuSPDS2 had maximum percentage identity with AtSPDS1 and AtSPDS2; these genes showed higher expression in pollens and flowers and are involved in inflorescence and overall plant growth. CuACL5-1 and CuACL5-2 were 75 and 61% identical to AtACL5, respectively, expressed in the whole plant, pollen, and flower and associated with apical leaf, inflorescent, and overall plant development. All these genes were localized both in the nucleus and cytoplasm. CuADC is identified as 61% identical to AtADC1 expressed in the whole plant except the root and had been analyzed in Arabidopsis to have a role in shoot system, leaf, and inflorescence development. Arabidopsis lacks ODC genes, so the CuODC orthologs were analyzed in C. sinenesis.
CuODC1 and CuODC2 had maximum percentage identity of up to 100 and 92% with CsODC1 and CsODC2, respectively, and expressed highly during the development to regulate leaf, inflorescence, shoot, root, and vascular system formation in citrus. CuSAMDC1, CuSAMDC2, CuSAMDC3, CuSAMDC4, CuSAMDC5 were most identical to AtSAMDC1, AtSAMDC2, AtSAMDC3, and AtSAMDC4, respectively. These orthologs are expressed in the whole plant and highly at the mature and germinated pollen stage and have been found to significantly regulate guard cells, pollen, pollen tube, and organ development (Table S1).
3.3. Identification of Conserved Motifs and Gene Structural Analysis
The MEME program studied the identification and distribution of 20 motifs within all the SPMS, SPDS, ACL5, ADC, ODC, and SAMDC proteins in C. unshiu, C. sinensis, and A. thaliana. Multiple motifs were also highly conserved among SPMS, SPDS, ACL5, ADC, ODC, and SAMDC proteins of C. unshiu, A. thaliana, and C. sinensis (Figure 2A).
The organization of exon and intron provide the backbones of genes and assist in verifying the study of the evolutionary relationships between genes or organisms. The number and distribution pattern of exon and intron are considered an evolutionary mark for a gene family. A comprehensive demonstration of the exon–intron structures of C. unshiu PA biosynthetic genes and their phylogeny analysis revealed that the pattern of gene structure was parallel to the phylogenetic analysis.
The SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes in the same clade showed similar gene structure patterns. Arabidopsis and C. unshiu displayed a somewhat similar number of introns and gene structures. Both AtSPMS and CuSPMS have ten exons, both AtSPDS1 and CuSPDS1 have nine exons, while CuSPDS2 has ten and AtSPDS2 has eight exons, CuACL5-1 has six, CuACL5-2 has ten, and AtACL5 has nine exons. All other genes have just a single exon except CuSAMDC1, which has two, and CuSAMDC5, which has three exons (Figure 2B).
3.4. Cis-Elements Regulate the Transcriptional Activity of PA Biosynthetic Genes
The presence and organization of various cisregulatory elements on the promoter region at the transcription factor binding site affect the genes’ spatial-temporal transcriptomic expression. Therefore, an in-silico analysis was conducted through the PlantCare database to evaluate the putative functions of genes. Cisacting elements were associated with hormone responses, light responses, defense and stress responses, and others involved in growth and development or acting as promoters and other binding sites found in the putative PA biosynthetic genes promoter region of C. unshiu. The position of the elements is represented on a scale of 1000 bps. Colored legend blocks at the bottom represent cis-elements found in each PA biosynthetic gene, with each element represented by a specific color (Figure 3 and Table S3).
CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes of C. unshiu consisted of light-responsive and plant mechanisms-related, development-related, hormone-responsive, and stress- and defense-related cisregulatory elements. The cisregulatory elements identified among CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes of C. unshiu and their functional annotation are shown in Figure 3. CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC promoters incorporated 18 cisregulatory elements that are responsive to light and plant mechanisms, including 3-AF1 binding site, ACE, AT1-motif, ATCT-MOTIF, Box 4, chs-Unit 1 m1, Gap-box, GATA-motif, G-Box, GT1-motif, GTGGC-motif, I-box, LAMP-element, MRE, Sp1, TCCC-motif, and TCT-motif. Fourteen environmental stress-related elements as MYB, MYB-like, AAGAA-motif, ACA-moif, ARE, as-1, GC-motif, LTR, MBS, STRE, TC-rich repeats, W box, WRE3, and WUN-motif were also present. W box was only part of the CuODC1 promoter and was absent in other genes. In addition, four development-related elements, including circadian, dOCT, MYC, and O2-site were also seen; MYC was found.
Seven promoter-related and site-binding ciselements like A-box, AT~TATA-box, AT-rich, CAAT-box, TATA-box, Myb-binding site, and MYB recognition site were also present in the genes; CAAT-box and TATA-box were found in abundance with as much as 73 in CuODC1; these are the most common transcription inducing cis-elements. However, MYB recognition site was present only in CuSPMS. Twelve hormone-responsive elements were also included in the promoter regions of PA biosynthetic genes involving an abscisic acid-responsive element ABRE, three auxin responsive elements AuxRE, AuxRR-core, and TGA-element, a methyl jasmonate-responsive CCGTCC motif, an ethylene-responsive ERE ciselements, three gibberellin responsive elements GARE, P-box, and TATC-box, and a salicylic acid-responsive TCA-element. Auxin-responsive ciselement AuxRE and TGA were only present in CuODC1 and did not appear in the promoter regions of any other gene.
3.5. Prediction Subcellular Localization Signals in PA Biosynthetic Genes of C. unshiu
Subcellular locations of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes were predicted in the cytoplasm, mitochondria, cytoskeleton, peroxisomes, plastid, etc., using WoLF PSORT (Figure S1). CuSPMS and CuSPDS1 were highly localized in the cytoplasm. CuSPDS2, on the other hand, was almost equally located both in the cytoskeleton and nucleus; CuACL5-1 was mostly located in the cytoplasm but also present in the nucleus in minute numbers, while CuACL5-2 was present majorly in peroxisomes while a comparatively nonsignificant amount was located in the cytoplasm and the nucleus; CuADC was located mostly in both the chloroplast and the nucleus in almost equal amounts; CuODC1 was mainly located in the cytoplasm, but it also occurred in cytoskeleton and vacuole, while CuODC2 was only located in the chloroplast; CuSAMDC1 was present in the nucleus but also in the cytoplasm and the chloroplast in a negligible amount; CuSAMDC2, CuSAMDC3, CuSAMDC4, and CuSAMDC5 were distributed among the cytoplasm, the nucleus, the chloroplast, and the cytoskeleton.
3.6. Gene Location and synteny Analysis in C. unshiu PA Biosynthetic Genes
Chromosomal distribution analysis of C. unshiu PA biosynthetic genes demonstrated that out of 13 scaffolds, CuSPMS was located on S_00003, CuSPDS1 was located on S_00004, CuSPDS2 on S_00092, CuACL5-1 on S_00498, CuACL5-2 on S_00051, CuADC on S_00918, CuODC1 on S_00140, CuODC2 on S_00902, CuSAMDC1 on S_00310, CuSAMDC2 on S_00098, CuSAMDC3 on S_00562, CuSAMDC4 on S_00394, and CuSAMDC5 was located on S_00394 (Figure 4A).
Furthermore, syntenic analysis was performed for CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes to gain insight into the probability of segmental or tandem duplication of the biosynthesis of the PA gene family in C. unshiu. CuSPMS had nine paralogs, CuACL5-2 had four, CuODC1 had ten, CuSAMDC1 had eight, CuSAMDC2 had seven, and CuSAMDC5 had five paralogs. Whereas CuSPDS1, CuSAMDC3, CuSAMDC4, and CuODC2 had six, and CuSPDS2, CuADC and CuACL5-1 had nine paralogs each across different scaffolds across the C. unshiu genome (Figure 4B).
To understand the evolution of the biosynthesis of the PA gene family in C. unshiu, the syntenic relationship of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes with A. thaliana, C. sinensis, P. trifoliata, C. reticulata, and Triticum aestivum were analyzed. A number of SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes in C. unshiu were revealed as orthologous genes in A. thaliana, C. sinensis, P. trifoliata, C. reticulata, and T. aestivum through collinearity analysis (Figure 4C). All the PA biosynthetic genes in C. unshiu have a syntenic relationship with PA biosynthetic genes in all other species, i.e., A. thaliana, C. sinensis, P. trifoliata, and C. reticulata, except T. aestivum that had many genes linked with the C. unshiu genome but none of the CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members appeared to be linked with any gene of T. aestivum. In addition, CuODC2 shows no links with any of the genes in other species. CuSPMS appeared to be linked with SPMS belonging to C. sinensis, P. trifoliata, and C. reticulata, but not with A. thaliana. CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC of C. unshiu showed syntenic relationships with gene members of their respective groups located on different chromosomes and scaffolds in A. thaliana, C. sinensis, P. trifoliata, and C. reticulata. The details of the linked genes of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members of C. unshiu with other species, along with their locations, are described in Supplementary Table S2.
3.7. Evaluation of C. unshiu PA Biosynthetic Genes Duplication Event
The values of Ks, Ka, and Ka/Ks ratio of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes were estimated through TBtools using a simple Ka/Ks calculator (Figure 5). Forty-seven gene pairs of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members appeared and all the genes function are listed in Table S4. Ks of a gene pair depicts the number of synonymous substitutions per synonymous site. In contrast, Ka shows the number of nonsynonymous substitutions per nonsynonymous site, and the ratio of nonsynonymous (Ka) versus synonymous (Ks) mutation was represented by Ka/Ks. This ratio ranged from 0.174 in the CuSAMDC2_CuSAMDC5 pair to 2.412 in the CuSPMS_CuODC1 pair. Up to 22 paralogous group pairs in C. unshiu had Ka/Ks ratio of less than 1, which suggested the probability of limited functional divergence in the duplication process due to the purifying selection among these paralogs.
3.8. Expression of C. unshiu PA Biosynthetic Genes during Peel Roughing Disease
The results demonstrated that CuADC showed the highest expression in control after 30 and 80 days and continued to drop significantly in plants from day 30 to 170 (Figure 6). After exposure to the rough disease of mandarin, expression of CuADC declined drastically, and a little more than a two-fold difference was observed between the control and affected plant. However, CuACL-5 expression increased from day 30 to day 80 more than twice in the control group. Interestingly, the expression of the CuACL-5 gene was highest in the affected group, even more than CuADC. A sudden surge in CuACL-5 expression was noticed after 30 days, the difference was almost three-fold between the affected and control group, but it continued to decline afterwards. Overall, the expression of all the PA biosynthetic genes of C. unshiu was the lowest after 170 days in both control and affected groups.
3.9. C. unshiu PA Biosynthetic Genes Showing Fluctuation in Expression during Seedling Etiolation in Two Citrus Hybrids
The transcriptomic data showed the expression of all C. unshiu PA biosynthetic genes, i.e., CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC, during the etiolation of both Shiranuhi and Huangguogan seedlings; however, only the expression showed by CuACL5-1, CuADC, CuODC2, CuSAMDC2, CuSAMDC3 and CuSAMDC5 was statistically significant (p-value ≤ 0.05) (Figure 7). In Shiranuhi, CuACL5-1, CuADC, and CuSAMDC2 showed significant upregulation in etiolated seedlings, and CuODC2 was significantly upregulated in green seedlings, while CuSAMDC3 was upregulated significantly in multicolored seedlings (Figure 7). However, in Huangguogan only, CuSAMDC5 showed significant upregulation in etiolated seedlings. The remaining genes were mostly downregulated, or their expression remained unchanged in Shiranuhi and Huangguogan seedlings.
3.10. Differential Expression of PA Biosynthetic Genes in the Development of Light Drought-Induced Flowering Branches in C. unshiu
In this study, CuSPMS, CuSPDS1, CuSPDS2, CuACL5-1, CuACL5-2, CuADC, CuODC1, and CuODC2 appeared to be expressed in flowering branches after 75 days in those exposed to light drought (LD) compared with a conventionally watered group (CK). However, the heatmap revealed that the expressions of CuSPDS2, CuACL5-2, and CuADC2 were nonsignificant (Figure 8). CuADC expression was the highest among all the expressed PA biosynthetic genes in both LD and CK groups. The expression of CuSPDS1 and CuACL5-1 was about the same in both CK and LD groups. A raise in the expression of CuADC and CuODC1 was observed in LD; on the other hand, CuACL5-1 expression dropped in the LD group when compared with the control group.
4. Discussion
In this study, the C. unshiu was used to identify the biosynthesis of the PA gene family at the genome level in satsuma mandarin (C. unshiu). A total of single SPMS, two SPDS, two ACL5, single ADC, two ODC, and five SAMDC nonredundant PA biosynthetic genes were identified in C. unshiu. The prediction of subcellular localization signals confirmed the abundant location of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC genes that were predicted in the cytoplasm, mitochondria, cytoskeleton, peroxisomes, and plastid, etc.
Knowledge about the presence and position of exons and introns in a gene can be used to understand the gene’s evolutionary relationship with other genes or organisms [40,41]. Generally, a similar exon–intron structure was shared among genes, and different groups showed different structures. A similar structure of exon and intron was noticed in Arabidopsis. The results suggest that these structures remain preserved during the evolutionary process and might play a role in protecting gene integrity.
Phylogenetic analysis of PA biosynthetic genes was conducted in C. unshiu, A. thaliana, and C. sinensis. Based on their domains, all PA biosynthetic genes were classified into six subgroups of polyamine biosynthetic genes: SPMS, SPDS, ACL5, ADC, ODC, and SAMDC. Arabidopsis PA biosynthetic genes showed a close phylogenetic relationship with PA biosynthetic genes in C. unshiu, as they appeared to be in the same subclades. PA biosynthetic genes in Arabidopsis were mostly localized in the cytoplasm, nucleus, and chloroplast [42], and were expressed in the whole plant except AtADC1, and AtSAMDC members were not expressed in roots, and significantly expressed in embryo development, inflorescence, and pollen. AtSPMS was also involved in defense response to bacteria. However, CuODC1 and CuODC2 were highly homologous to CsODC1 and CsODC2, respectively. Both these genes are important in the shoot system and vascular system development in C. sinensis, in addition to leaf and inflorescence development. AtSAMDC genes were only localized in the cytosol and had a role in the guard cells, pollen tube, and organ development [43]. Due to the high protein homology of C. unshiu and Arabidopsis and C. sinensis genes, it can be hypothesized that PA biosynthetic genes might perform in the same pattern in C. unshiu.
The linkage of genes in the genome of the same species can assist in predicting the gene duplication event. The linked genes have a chance that they might result from segmental duplication of a similar gene or whole genome duplication (WGD) [44]. PA biosynthetic genes appeared to have multiple paralogs, most importantly with other PA biosynthetic genes across the C. unshiu genome. Many genes appeared to be interlinked with multiple PA biosynthetic genes, which indicates that these genes may have evolved together and may result from segmental duplication of a similar type of gene. There is a possibility that the increase in PA biosynthetic genes might be due to the duplication of their SPMS, SPDS, ACL5, ADC, ODC, and SAMDC domains during the evolution of eukaryotic plants [45,46].
Comparative syntenic maps can be used further to explore the potential evolutionary mechanism of a gene family [47]. Syntenic maps of C. unshiu were constructed comparatively to the genomes of A. thaliana, C. sinensis, P. trifoliata, C. reticulata, and T. aestivum to better understand. Many genes from these species were linked with the C. unshiu genome, but none of the CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members appeared to be linked with any gene of T. aestivum. This may happen due to a higher degree of variation from monocots to dicots during evolution. However, in Arabidopsis, citrus species, and trifoliate orange CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members appeared to have syntenic pairs with genes of respective groups, indicating that duplicated genes were conserved among these species.
The selection pressure on substituting amino acids can be understood through the ratio of Ka/Ks. Ka/Ks < 1 ratio suggests the possibility of a purifying selection, whereas Ka/Ks ratio > 1 suggests the likelihood of a positive selection [48,49]. Generally, evaluating selective pressure provides a selective lead for amino acid sequence altered in a protein and is also necessary for interpreting functional residues and protein shifts [50]. Forty-seven gene pairs appeared among CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC members, and twenty-two paralogous pairs had Ka/Ks ratio of less than 1, indicating that these genes went through strong purifying selection pressure and a positive selection might have acted on a few sites only during the process of evolution among these paralogs.
The occurrence of hormone-responsive, stress and defense-responsive cisacting elements indicates that these genes might have important roles in plant growth and development and might be involved in plant defense mechanisms in C. unshiu. Eighteen light-responsive and plant mechanisms-related cisregulatory elements were found in the promoter regions of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and CuSAMDC; the number varied for a few members, which indicates their role in photosynthesis and leaf development related roles like their orthologs. The abundance of promoter-related ciselements such as 73 TATA-box in CuODC1 indicates their expression during normal growth conditions.
PA biosynthetic genes of C. unshiu showed expression in various organs and developmental stages under stressed and normal conditions. As described earlier, various PA biosynthetic genes of C. unshiu were found to be expressed in the profiling data downloaded from NCBI GEO experimental datasets [51,52]. Using expression data to categorize differentially expressed genes (DEGs) is a very efficient way to investigate the gene interaction, signaling, and functions of targeted genes [53]. Genes with similar expression patterns usually have functional analogies [54]. After exposure to the rough disease of mandarin, expression of CuADC declined drastically, and a little more than a two-fold difference was seen among the affected and control plants than control groups. However, a sudden surge in CuACL-5 expression was noticed after 30 days, the difference was almost three-fold between the affected and control group, but it continued to decline afterwards. The results indicate that the peel deformation may be related to decreased CuADC and CuACL-5 activity. The rise in CuACL-5 expression after 30 days may respond to the disease initiation, affecting cell differentiation in the peel.
5. Conclusions
A detailed analysis of the biosynthesis of the polyamine gene family in satsuma mandarin (C. unshiu) was reported in this study. Thirteen PA biosynthetic genes were identified and categorized into six subgroups (SPMS, SPDS, ACL5, ADC, ODC, and SAMDC). Domain motif and intron–exon analysis revealed that the basic gene structure remained conserved throughout the evolutionary process. The biosynthesis of the PA gene family members in the genome of various plant species, such as seven members in Arabidopsis, and thirteen in C. sinensis, suggests that these genes might have emerged because of either whole-genome (segmental) duplication or a tandem duplication event, which ultimately led to the expansion of the biosynthesis of the PA gene family in various plant species. PA biosynthetic genes showed a strong interaction with other members of glutathione, cysteine, methionine, arginine, and proline metabolism, and interruption in their gene expression might severely disrupt these metabolic pathways in C. unshiu. The involvement of PA biosynthetic genes, mostly in abiotic and biotic stress tolerance mechanisms and during developmental stages, was analyzed. A high expression of various PA biosynthetic genes during light, drought, flower induction, roughing disease, and the presence of stress; light, hormone-responsive, and plant mechanism-related ciselements highlight the significance during stress and development. Detailed in-silico analysis of the biosynthesis of the PA gene family in C. unshiu revealed in the current study might assist in understanding the mechanism of the polyamine biosynthesis pathway and regulation during various developmental stages and in response to different stresses in C. unshiu at the molecular level.
Acknowledgments
Thanks to all authors for their contribution in this study.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes14081527/s1, Table S1: Brief information about C. unshiu SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes orthologs and their functions and expression in Arabidopsis. Table S2: Details of the linked genes of CuSPMS, CuSPDS, CuACL5, CuADC, CuODC, and Cu-SAMDC members of C. unshiu with other species, along with their locations. Table S3: Brief information about C. unshiu SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes orthologs and their functions and expression in Arabidopsis. Table S4: Brief information about C. unshiu SPMS, SPDS, ACL5, ADC, ODC, and SAMDC genes orthologs and their functions via molecular, interactiona and pathway. Figure S1: Heatmap illustration and distribution of sub-cellular localization.
Author Contributions
M.A.S. and M.S. designed the research; S.S. and M.H. conducted the research; S.S., M.H. and S.I. wrote the manuscript; R.M.B., J.C. and M.F.S. reviewed and improved the manuscript; M.A.S. conceptualized the study and had the main responsibility for the final content. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declared no conflict of interest.
Funding Statement
We are grateful to Hatch project FLA-NFC-006212 and Researchers Supporting Project number (RSPD2023R751), King Saud University, Riyadh, Saudi Arabia for supporting this study.
Footnotes
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References
- 1.Aslıhan Ö. The roles of polyamines in microorganisms. World J. Microbiol. Biotechnol. 2017;33:204. doi: 10.1007/s11274-017-2370-y. [DOI] [PubMed] [Google Scholar]
- 2.Singh P., Basu S., Kumar G. Biochemical, Physiological and Molecular Avenues for COMBATING Abiotic Stress Tolerance in Plants. Elsevier; Amsterdam, The Netherlands: 2018. Polyamines metabolism: A way ahead for abiotic stress tolerance in crop plants; pp. 39–55. [Google Scholar]
- 3.Wickner R.B. Herbert Tabor, 1918–2020: Polyamines, NIH, and the JBC. Proc. Natl. Acad. Sci. USA. 2021;118:e2023986118. doi: 10.1073/pnas.2023986118. [DOI] [Google Scholar]
- 4.Hussain M., Iqbal S., Shafiq M., Balal R.M., Chater J., Kadyampakeni D., Alferez F., Sarkhosh A., Shahid M.A. Silicon-induced hypoxia tolerance in citrus rootstocks associated with modulation in polyamine metabolism. Sci. Hortic. 2023;318:112118. doi: 10.1016/j.scienta.2023.112118. [DOI] [Google Scholar]
- 5.Wallace H.M., Fraser A.V., Hughes A. A perspective of polyamine metabolism. Biochem. J. 2003;376:1–14. doi: 10.1042/bj20031327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Seiler N. A Guide to the Polyamines. University of Chicago Press; Chicago, IL, USA: 1999. [Google Scholar]
- 7.Liu J.-H., Wang W., Wu H., Gong X., Moriguchi T. Polyamines function in stress tolerance: From synthesis to regulation. Front. Plant Sci. 2015;6:827. doi: 10.3389/fpls.2015.00827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Michael A.J. Biosynthesis of polyamines and polyamine-containing molecules. Biochem. J. 2016;473:2315–2329. doi: 10.1042/BCJ20160185. [DOI] [PubMed] [Google Scholar]
- 9.Abouzari A., Solouki M., Golein B., Fakheri B.A., Sabouri A. The change trend in physiological traits of 110 citrus accessions in response to cold stress. Bangladesh J. Bot. 2020;49:375–385. doi: 10.3329/bjb.v49i2.49319. [DOI] [Google Scholar]
- 10.Le M.-L., Sakai K., Mizunoe Y., Ozaki Y., Wakana A. Evaluation of seedlings from 11 Citrus accessions for in vivo micrografting. Hortic. J. 2020;89:1–11. doi: 10.2503/hortj.UTD-094. [DOI] [Google Scholar]
- 11.Liu Y., Heying E., Tanumihardjo S.A. History, global distribution, and nutritional importance of citrus fruits. Compr. Rev. Food Sci. Food Saf. 2012;11:530–545. doi: 10.1111/j.1541-4337.2012.00201.x. [DOI] [Google Scholar]
- 12.Gottwald T.R. Current epidemiological understanding of citrus huanglongbing. Annu. Rev. Phytopathol. 2010;48:119–139. doi: 10.1146/annurev-phyto-073009-114418. [DOI] [PubMed] [Google Scholar]
- 13.Zhou C. The status of citrus Huanglongbing in China. Trop. Plant Pathol. 2020;45:279–284. doi: 10.1007/s40858-020-00363-8. [DOI] [Google Scholar]
- 14.Liu H.-Y., Xiao L.-T., Lu X.-D., Hu J.-J., Wu S., He C.-Z., Deng X.-X. Changes in polyamine levels in Citrus sinensis Osb. cv. Valencia callus during somatic embryogenesis. J. Plant Physiol. Mol. Biol. 2005;31:275–280. [PubMed] [Google Scholar]
- 15.Wu X.-B., Wang J., Liu J.-H., Deng X.-X. Involvement of polyamine biosynthesis in somatic embryogenesis of Valencia sweet orange (Citrus sinensis) induced by glycerol. J. Plant Physiol. 2009;166:52–62. doi: 10.1016/j.jplph.2008.02.005. [DOI] [PubMed] [Google Scholar]
- 16.Mendes A., Cidade L., Otoni W., Soares-Filho W., Costa M. Role of auxins, polyamines and ethylene in root formation and growth in sweet orange. Biol. Plant. 2011;55:375–378. doi: 10.1007/s10535-011-0058-y. [DOI] [Google Scholar]
- 17.Yao Q., Wang L.-R., Xing Q.-X., Chen J.-Z., Zhu H.-H. Exogenous polyamines influence root morphogenesis and arbuscular mycorrhizal development of Citrus limonia seedlings. Plant Growth Regul. 2010;60:27–33. doi: 10.1007/s10725-009-9415-7. [DOI] [Google Scholar]
- 18.Anjum M.A. Effect of NaCl concentrations in irrigation water on growth and polyamine metabolism in two citrus rootstocks with different levels of salinity tolerance. Acta Physiol. Plant. 2008;30:43–52. doi: 10.1007/s11738-007-0089-3. [DOI] [Google Scholar]
- 19.Khoshbakht D., Asghari M., Haghighi M. Influence of foliar application of polyamines on growth, gas-exchange characteristics, and chlorophyll fluorescence in Bakraii citrus under saline conditions. Photosynthetica. 2018;56:731–742. doi: 10.1007/s11099-017-0723-2. [DOI] [Google Scholar]
- 20.Hayat F., Li J., Liu W., Li C., Song W., Iqbal S., Khan U., Umer Javed H., Ahsan Altaf M., Tu P. Influence of Citrus Rootstocks on Scion Growth, Hormone Levels, and Metabolites Profile of ‘Shatangju’Mandarin (Citrus reticulata Blanco) Horticulturae. 2022;8:608. doi: 10.3390/horticulturae8070608. [DOI] [Google Scholar]
- 21.Gentile A., Antognoni F., Iorio R.A., Distefano G., Las Casas G., La Malfa S., Serafini-Fracassini D., Del Duca S. Polyamines and transglutaminase activity are involved in compatible and self-incompatible pollination of Citrus grandis. Amino Acids. 2012;42:1025–1035. doi: 10.1007/s00726-011-1017-9. [DOI] [PubMed] [Google Scholar]
- 22.Sagee O., Lovatt C.J. Putrescine Content Parallels Ammonia and Arginine Metabolism in Developing Flowers of theWashington’Navel Orange. J. Am. Soc. Hortic. Sci. 1991;116:280–285. doi: 10.21273/JASHS.116.2.280. [DOI] [Google Scholar]
- 23.Hayat F., Li J., Iqbal S., Peng Y., Hong L., Balal R.M., Khan M.N., Nawaz M.A., Khan U., Farhan M.A. A mini review of citrus rootstocks and their role in high-density orchards. Plants. 2022;11:2876. doi: 10.3390/plants11212876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sharma D.K., Dubey A., Srivastav M., Singh A., Sairam R., Pandey R., Dahuja A., Kaur C. Effect of putrescine and paclobutrazol on growth, physiochemical parameters, and nutrient acquisition of salt-sensitive citrus rootstock Karna khatta (Citrus karna Raf.) under NaCl stress. J. Plant Growth Regul. 2011;30:301–311. doi: 10.1007/s00344-011-9192-1. [DOI] [Google Scholar]
- 25.Barrett T., Troup D.B., Wilhite S.E., Ledoux P., Rudnev D., Evangelista C., Kim I.F., Soboleva A., Tomashevsky M., Edgar R. NCBI GEO: Mining tens of millions of expression profiles—Database and tools update. Nucleic Acids Res. 2007;35((Suppl. S1)):D760–D765. doi: 10.1093/nar/gkl887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Edgar R., Barrett T. NCBI GEO standards and services for microarray data. Nat. Biotechnol. 2006;24:1471–1472. doi: 10.1038/nbt1206-1471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen C., Chen H., He Y., Xia R. TBtools, a toolkit for biologists integrating various biological data handling tools with a user-friendly interface. BioRxiv. 2018;289660:289660. [Google Scholar]
- 28.Kawahara Y., Endo T., Omura M., Teramoto Y., Itoh T., Fujii H., Shimada T. Mikan Genome Database (MiGD): Integrated database of genome annotation, genomic diversity, and CAPS marker information for mandarin molecular breeding. Breed. Sci. 2020;70:200–211. doi: 10.1270/jsbbs.19097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lu S., Wang J., Chitsaz F., Derbyshire M.K., Geer R.C., Gonzales N.R., Gwadz M., Hurwitz D.I., Marchler G.H., Song J.S. CDD/SPARCLE: The conserved domain database in 2020. Nucleic Acids Res. 2020;48:D265–D268. doi: 10.1093/nar/gkz991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gasteiger E., Hoogland C., Gattiker A., Duvaud S.E., Wilkins M.R., Appel R.D., Bairoch A. Protein Identification and Analysis Tools on the ExPASy Server. Springer; Berlin/Heidelberg, Germany: 2005. [Google Scholar]
- 31.Horton P., Park K.-J., Obayashi T., Nakai K. Protein subcellular localization prediction with WoLF PSORT; Proceedings of the 4th Asia-Pacific Bioinformatics Conference; Taipei, Taiwan. 13–16 February 2006; Singapore: World Scientific; 2006. pp. 39–48. [Google Scholar]
- 32.Kumar S., Nei M., Dudley J., Tamura K. MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences. Brief. Bioinform. 2008;9:299–306. doi: 10.1093/bib/bbn017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bailey T.L., Johnson J., Grant C.E., Noble W.S. The MEME suite. Nucleic Acids Res. 2015;43:W39–W49. doi: 10.1093/nar/gkv416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chen C., Chen H., Zhang Y., Thomas H.R., Frank M.H., He Y., Xia R. TBtools: An integrative toolkit developed for interactive analyses of big biological data. Mol. Plant. 2020;13:1194–1202. doi: 10.1016/j.molp.2020.06.009. [DOI] [PubMed] [Google Scholar]
- 35.Biłas R., Szafran K., Hnatuszko-Konka K., Kononowicz A.K. Cis-regulatory elements used to control gene expression in plants. Plant Cell Tissue Organ Cult. (PCTOC) 2016;127:269–287. doi: 10.1007/s11240-016-1057-7. [DOI] [Google Scholar]
- 36.Chen C., Wu Y., Xia R. A painless way to customize Circos plot: From data preparation to visualization using TBtools. iMeta. 2022;1:e35. doi: 10.1002/imt2.35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Xing Y., Lee C. Assessing the application of Ka/Ks ratio test to alternatively spliced exons. Bioinformatics. 2005;21:3701–3703. doi: 10.1093/bioinformatics/bti613. [DOI] [PubMed] [Google Scholar]
- 38.Parmley J.L., Hurst L.D. How common are intragene windows with KA > KS owing to purifying selection on synonymous mutations? J. Mol. Evol. 2007;64:646–655. doi: 10.1007/s00239-006-0207-7. [DOI] [PubMed] [Google Scholar]
- 39.Lu X.-P., Li F.-F., Xiong J., Cao X.-J., Ma X.-C., Zhang Z.-M., Cao S.-Y., Xie S.-X. Transcriptome and metabolome analyses provide insights into the occurrence of peel roughing disorder on Satsuma Mandarin (Citrus unshiu Marc.) fruit. Front. Plant Sci. 2017;8:1907. doi: 10.3389/fpls.2017.01907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Bondarenko V.S., Gelfand M.S. Evolution of the exon-intron structure in ciliate genomes. PLoS ONE. 2016;11:e0161476. doi: 10.1371/journal.pone.0161476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Koralewski T.E., Krutovsky K.V. Evolution of exon-intron structure and alternative splicing. PLoS ONE. 2011;6:e18055. doi: 10.1371/journal.pone.0018055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Cai Q., Zhang J., Guo C. Reviews of the physiological roles and molecular biology of polyamines in higher plants. J. Fujian Educ. Coll. 2006;7:118–124. [Google Scholar]
- 43.Majumdar R. Doctoral Dissertations. University of New Hampshire; Durham, UK: 2011. Polyamine Metabolism in Arabidopsis: Transgenic Manipulation and Gene Expression. [Google Scholar]
- 44.Panchy N., Lehti-Shiu M., Shiu S.-H. Evolution of gene duplication in plants. Plant Physiol. 2016;171:2294–2316. doi: 10.1104/pp.16.00523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Moore R.C., Purugganan M.D. The evolutionary dynamics of plant duplicate genes. Curr. Opin. Plant Biol. 2005;8:122–128. doi: 10.1016/j.pbi.2004.12.001. [DOI] [PubMed] [Google Scholar]
- 46.Taylor J.S., Raes J. Duplication and divergence: The evolution of new genes and old ideas. Annu. Rev. Genet. 2004;38:615–643. doi: 10.1146/annurev.genet.38.072902.092831. [DOI] [PubMed] [Google Scholar]
- 47.Xie T., Zeng L., Chen X., Rong H., Wu J., Batley J., Jiang J., Wang Y. Genome-wide analysis of the lateral organ boundaries domain gene family in Brassica napus. Genes. 2020;11:280. doi: 10.3390/genes11030280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hurst L.D. The Ka/Ks ratio: Diagnosing the form of sequence evolution. Trends Genet. 2002;18:486–487. doi: 10.1016/S0168-9525(02)02722-1. [DOI] [PubMed] [Google Scholar]
- 49.Yang Z., Bielawski J.P. Statistical methods for detecting molecular adaptation. Trends Ecol. Evol. 2000;15:496–503. doi: 10.1016/S0169-5347(00)01994-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Liberles D.A., Teichmann S.A., Bahar I., Bastolla U., Bloom J., Bornberg Bauer E., Colwell L.J., De Koning A.J., Dokholyan N.V., Echave J. The interface of protein structure, protein biophysics, and molecular evolution. Protein Sci. 2012;21:769–785. doi: 10.1002/pro.2071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Huang B., Jin L., Wang P., Wen M., Wu S., Xu J. Methylome and Transcriptome Analysis of Flowering Branches Building of Citrus Plants Induced by Drought Stress. Gene. 2023;880:147595. doi: 10.1016/j.gene.2023.147595. [DOI] [PubMed] [Google Scholar]
- 52.Jiao Y., Yang H., Ma L., Sun N., Yu H., Liu T., Gao Y., Gu H., Chen Z., Wada M. A genome-wide analysis of blue-light regulation of Arabidopsis transcription factor gene expression during seedling development. Plant Physiol. 2003;133:1480–1493. doi: 10.1104/pp.103.029439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Usadel B., Obayashi T., Mutwil M., Giorgi F.M., Bassel G.W., Tanimoto M., Chow A., Steinhauser D., Persson S., Provart N.J. Co-expression tools for plant biology: Opportunities for hypothesis generation and caveats. Plant Cell Environ. 2009;32:1633–1651. doi: 10.1111/j.1365-3040.2009.02040.x. [DOI] [PubMed] [Google Scholar]
- 54.Ding Z., Weissmann S., Wang M., Du B., Huang L., Wang L., Tu X., Zhong S., Myers C., Brutnell T.P. Identification of photosynthesis-associated C4 candidate genes through comparative leaf gradient transcriptome in multiple lineages of C3 and C4 species. PLoS ONE. 2015;10:e0140629. doi: 10.1371/journal.pone.0140629. [DOI] [PMC free article] [PubMed] [Google Scholar]
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