Abstract
Watermelon and melon are members of the Cucurbitaceae family including economically significant crops in the world. The expansin protein family, which is one of the members of the cell wall, breaks down the non-covalent bonds between cell wall polysaccharides, causing pressure-dependent cell expansion. Comparative bioinformatics and molecular characterization analysis of the expansin protein family were carried out in the watermelon (Citrullus lanatus) and melon (Cucumis melo) plants in the study. Gene expression levels of expansin family members were analyzed in leaf and root tissues of watermelon and melon under ABA, drought, heat, cold, and salt stress conditions by quantitative real-time PCR analysis. After comprehensive searches, 40 expansin proteins (22 ClaEXPA, 14 ClaEXPLA, and 4 ClaEXPB) in watermelon and 43 expansin proteins (19 CmEXPA, 15 CmEXPLA, 3 CmEXPB, and 6 CmEXPLB) in melon were identified. The greatest orthologous genes were identified with soybean expansin genes for watermelon and melon. However, the latest divergence time between orthologous genes was determined with poplar expansin genes for watermelon and melon expansin genes. ClaEXPA-04, ClaEXPA-09, ClaEXPB-01, ClaEXPB-03, and ClaEXPLA-13 genes in watermelon and CmEXPA-12, CmEXPA-10, and CmEXPLA-01 genes in melon can be involved in tissue development and abiotic stress response of the plant. The current study combining bioinformatics and experimental analysis can provide a detailed characterization of the expansin superfamily which has roles in growth and reaction to the stress of the plant. The study ensures detailed data for future studies examining gene functions including the roles in plant growth and stress conditions.
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References
Abuqamar S, Ajeb S, Sham A, Enan MR, Iratni R (2013) A mutation in the expansin-like A 2 gene enhances resistance to necrotrophic fungi and hypersensitivity to abiotic stress in Arabidopsis thaliana. Mol Plant Pathol 14(8):813–827
Altunoglu YC, Baloglu P, Yer EN, Pekol S, Baloglu MC (2016) Identification and expression analysis of LEA gene family members in cucumber genome. Plant Growth Regul 80(2):225–241
Altunoglu YC, Baloglu MC, Baloglu P, Yer EN, Kara S (2017) Genome-wide identification and comparative expression analysis of LEA genes in watermelon and melon genomes. Physiol Mol Biol Plants 23(1):5–21
Altunoğlu YÇ, Keleş M, Can TH, Baloğlu MC (2019) Identification of watermelon heat shock protein members and tissue-specific gene expression analysis under combined drought and heat stresses. Turk J Biol 43(6):404–419
Arslan B, İncili ÇY, Ulu F et al (2021) Comparative genomic analysis of expansin superfamily gene members in zucchini and cucumber and their expression profiles under different abiotic stresses. Physiol Mol Biol Plants 27(12):2739–2756
Bailey TL, Elkan C (1994) Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc Int Conf Intell Syst Mol Biol 2:28–36
Baloglu MC, Eldem V, Hajyzadeh M, Unver T (2014) Genome-wide analysis of the bZIP transcription factors in cucumber. PLoS One 9(4):e96014. https://doi.org/10.1371/journal.pone.0096014
Basu A, Sarkar A, Maulik U, Basak P (2019) Three dimensional structure prediction and ligand-protein interaction study of expansin protein ATEXPA23 from Arabidopsis thaliana L. Indian J Biochem Biophys (IJBB) 56(1):20–27
Berman HM, Westbrook J, Feng Z et al (2000) The Protein Data Bank. Nucleic Acids Res 28(1):235–242. https://doi.org/10.1093/nar/28.1.235
Boron AK, Van Loock B, Suslov D, Markakis MN, Verbelen J-P, Vissenberg K (2015) Over-expression of AtEXLA2 alters etiolated Arabidopsis hypocotyl growth. Ann Bot 115(1):67–80
Brummell DA, Harpster MH, Civello PM, Palys JM, Bennett AB, Dunsmuir P (1999) Modification of expansin protein abundance in tomato fruit alters softening and cell wall polymer metabolism during ripening. Plant Cell 11:2203–2216
Cao J, Shi F (2012) Evolution of the RALF gene family in plants: gene duplication and selection patterns. Evol Bioinform 8:271–292
Caraux G, Pinloche S (2005) PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics 21(7):1280–1281. https://doi.org/10.1093/bioinformatics/bti141
Chen F, Bradford KJ (2000) Expression of an expansin is associated with endosperm weakening during tomato seed germination. Plant Physiol 124:1265–1274
Cho HT, Cosgrove DJ (2002) Regulation of root hair initiation and expansin gene expression in Arabidopsis. Plant Cell 14:3237–3253
Choi D, Cho HT, Lee Y (2006) Expansins: expanding importance in plant growth and development. Physiol Plant 126(4):511–518
Conesa A, Gotz S (2008) Blast2GO: a comprehensive suite for functional analysis in plant genomics. Int J Plant Genomics 619832https://doi.org/10.1155/2008/619832
Cosgrove DJ, Bedinger P, Durachko DM (1997) Group I allergens of grass pollen as cell wall-loosening agents. Proc Natl Acad Sci 94(12):6559–6564
Cosgrove DJ (1997) Relaxation in a high-stress environment: the molecular bases of extensible cell walls and cell enlargement. Plant Cell 9(7):1031
Cosgrove DJ (2000) Loosening of plant cell walls by expansins. Nature 407(6802):321–326
Cosgrove DJ (2015) Plant expansins: diversity and interactions with plant cell walls. Curr Opin Plant Biol 25:162–172
Dai F, Zhang C, Jiang X et al (2012) RhNAC2 and RhEXPA4 are involved in the regulation of dehydration tolerance during the expansion of rose petals. Plant Physiol 160:2064–2082. https://doi.org/10.1104/pp.112.207720
Dai X, Zhao PX (2011) psRNATarget: a plant small RNA target analysis server. Nucleic Acids Res 39(Web Server issue):W155–W159. https://doi.org/10.1093/nar/gkr319
Ding A, Marowa P, Kong Y (2016) Genome-wide identification of the expansin gene family in tobacco (Nicotiana tabacum). Mol Genet Genomics 291(5):1891. https://doi.org/10.1007/s00438-016-1226-8
Dolferus R (2014) To grow or not to grow: a stressful decision for plants. Plant Sci 229:247–261
Duan H, Lu X, Lian C, An Y, Xia X, Yin W (2016) Genome-wide analysis of MicroRNA responses to the phytohormone abscisic acid in Populus euphratica. Front Plant Sci 7:1184
FAOSTAT (2019) https://www.fao.org/faostat/en/#data/QCL/Accessed November 2021.
Finn RD, Coggill P, Eberhardt RY, Eddy SR (2016) The Pfam protein families database: towards a more sustainable future. 44(D1), D279-285https://doi.org/10.1093/nar/gkv1344
Fukuda H (ed) (2014) Plant cell wall patterning and cell shape. Wiley, Hoboken
Gao X, Liu K, Lu YT (2010) Specific roles of AtEXPA1 in plant growth and stress adaptation. Russ J Plant Physiol 57(2):241–46
Gao W, Li D, Fan X, Sun Y, Han B, Wang X, Xu G (2020) Genome-wide identification, characterization, and expression analysis of the expansin gene family in watermelon (Citrullus lanatus). 3 Biotech 10(7):1–20
Garcia-Mas J, Benjak A, Sanseverino W et al (2012) The genome of melon (Cucumis melo L.). Proc Natl Acad Sci 109(29):11872–11877
Gasteiger E, Hoogland C, Gattiker A, Wilkins MR, Appel RD, Bairoch A (2005) Protein identification and analysis tools on the ExPASy server. The proteomics protocols handbook, Springer,pp. 571–607
Guo AY, Zhu QH, Chen X, Luo JC (2007) GSDS: a gene structure display server. Yi Chuan 29https://doi.org/10.1360/yc-007-1023
Guo S, Zhang J, Sun H et al (2013) The draft genome of watermelon (Citrullus lanatus) and resequencing of 20 diverse accessions. Nat Genet 45(1):51–58
Guo S, Sun H, Zhang H et al (2015) Comparative transcriptome analysis of cultivated and wild watermelon during fruit development. PLoS One 10(6):e0130267
Han YY, Li AX, Li F, Zhao MR, Wang W (2012) Characterization of a wheat (Triticum aestivum L.) expansin gene, TaEXPB23, involved in the abiotic stress response and phytohormone regulation. Plant Physiol Biochem 54:49–58. https://doi.org/10.1016/j.plaphy.2012.02.007
Han Z, Liu Y, Deng X, Liu D, Liu Y, Hu Y, Yan Y (2019) Genome-wide identification and expression analysis of expansin gene family in common wheat (Triticum aestivum L.). BMC Genomics 20(1):1–19
Hoagland DR, Arnon DI (1950) The water-culture method for growing plants without soil. Circular. California agricultural experiment station 347(2nd edit).
Hossain MS, Ahmed B, Ullah M, Haque M, Islam M (2021) Genome-wide identification and characterization of expansin genes in jute. Tropical Plant Biology 1–15.
Hou L, Zhang Z, Dou S, Zhang Y, Pang X, Li Y (2019) Genome-wide identification, characterization, and expression analysis of the expansin gene family in Chinese jujube (Ziziphus jujuba Mill.). Planta 249(3):815–829
Huang Y, Chen H, Reinfelder JR et al (2019) A transcriptomic (RNA-seq) analysis of genes responsive to both cadmium and arsenic stress in rice root. Sci Total Environ 666:445–460
Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ (2015) The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc 10(6):845–858. https://doi.org/10.1038/nprot.2015.053
Kim JY, Lee HJ, Jung HJ, Maruyama K, Suzuki N, Kang H (2010) Overexpression of microRNA395c or 395e affects differently the seed germination of Arabidopsis thaliana under stress conditions. Planta 232(6):1447–1454
Kong Q, Yuan J, Gao L, Zhao S, Jiang W, Huang Y, Bie Z (2014) Identification of suitable reference genes for gene expression normalization in qRT-PCR analysis in watermelon. PLoS One 9(2):e90612
Kozomara A, Griffiths-Jones S (2014) miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res 42(Data issue):D68-73. https://doi.org/10.1093/nar/gkt1181
Kumar S, Stecher G, Li M, Knyaz C, Tamura K (2018) MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 35(6):1547–1549
Larkin MA, Blackshields G, Brown NP et al (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23(21):2947–2948. https://doi.org/10.1093/bioinformatics/btm404
Lee DK, Ahn JH, Song SK, Do Choi Y, Lee JS (2003) Expression of an expansin gene is correlated with root elongation in soybean. Plant Physiol 131(3):985–997
Letunic I, Bork P (2011) Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy. Nucleic Acids Res 39(suppl_2):W475–W478. https://doi.org/10.1093/nar/gkr201
Levitt J (1980) Responses of plants to environmental stresses. Volume II. Water, radiation, salt, and other stresses: Academic Press.
Li B, Yin W, Xia X (2009) Identification of microRNAs and their targets from Populus euphratica. Biochem Biophys Res Commun 388:272e277
Li H, Dong Y, Chang J et al (2016) High-throughput microRNA and mRNA sequencing reveals that microRNAs may be involved in melatonin-mediated cold tolerance in Citrullus lanatus L. Front Plant Sci 7:1231
Li H, Chang J, Zheng J, Dong Y, Liu Q, Yang X, Wei C, Zhang Y, Ma J, Zhang X (2017) Local melatonin application induces cold tolerance in distant organs of Citrullus lanatus L. via long distance transport. Sci Rep 7(1):40858
Li Y, Darley CP, Ongaro V, Fleming A, Schipper O, Baldauf SL, McQueen-Mason SJ (2002) Plant expansins are a complex multigene family with an ancient evolutionary origin. Plant Physiol 128(3):854–864. https://doi.org/10.1104/pp.010658
Liu W, Xu L, Lin H, Cao J (2021) Two expansin genes, AtEXPA4 and AtEXPB5, are redundantly required for pollen tube growth and AtEXPA4 is involved in primary root elongation in Arabidopsis thaliana. Genes 12(2):249
Ling J, Jiang W, Zhang Y et al (2011) Genome-wide analysis of WRKY gene family in Cucumis sativus. BMC Genomics 12(1):1–20
Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25(4):402–408. https://doi.org/10.1006/meth.2001.1262
Lu PT, Kang M, Jiang XQ, Dai FW, Gao JP, Zhang CQ (2013) RhEXPA4, a rose expansin gene, modulates leaf growth and confers drought and salt tolerance to Arabidopsis. Planta 237:1547–1559. https://doi.org/10.1007/s00425-013-1867-3
Lu Y, Liu L, Wang X, Han Z, Ouyang B, Zhang J, Li H (2016) Genome-wide identification and expression analysis of the expansin gene family in tomato. Mol Genet Genomics 291(2):597–608
Lv LM, Zuo DY, Wang XF et al (2020) Genome-wide identification of the expansin gene family reveals that expansin genes are involved in fibre cell growth in cotton. BMC Plant Biol 20:1–13
Lynch M, Conery JS (2000) The evolutionary fate and consequences of duplicate genes. Science 290(5494):1151–1155
McQueen-Mason SJ, Cosgrove DJ (1995) Expansin mode of action on cell walls (analysis of wall hydrolysis, stress relaxation, and binding). Plant Physiol 107(1):87–100
Mo Y, Yang R, Liu L et al (2016) Growth, photosynthesis and adaptive responses of wild and domesticated watermelon genotypes to drought stress and subsequent re-watering. Plant Growth Regul 79(2):229–241
Öztürk NZ (2015) Literature review and new approaches on plant drought stress response. Turk J Agric Food Sci Technol 3(5):307–315
Qin Z, Chen J, Jin L, Duns GJ, Ouyang P (2015) Differential expression of miRNAs under salt stress in Spartina alterniflora leaf tissues. J Nanosci Nanotechnol 15(2):1554–1561
Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R (2005) InterProScan: protein domains identifier. Nucleic Acids Res 33(Web Server):W116–W120. https://doi.org/10.1093/nar/gki442
Reinhardt D, Wittwer F, Mandel T, Kuhlemeier C (1998) Localized upregulation of a new expansin gene predicts the site of leaf formation in the tomato meristem. Plant Cell 10:1427–1437
Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4(4):406–425
Sampedro J, Cosgrove DJ (2005) The expansin superfamily. Genome Biol 6(12):1–11
Sampedro J, Guttman M, Li LC, Cosgrove DJ (2015) Evolutionary divergence of β–expansin structure and function in grasses parallels emergence of distinctive primary cell wall traits. Plant J 81(1):108–120
Santiago TR, Pereira VM, de Souza WR et al (2018) Genome-wide identification, characterization and expression profile analysis of expansins gene family in sugarcane (Saccharum spp.). PloS one 13(1):e0191081
Sanz-Carbonell A, Marques MC, Bustamante A, Fares MA, Rodrigo G, Gomez G (2019) Inferring the regulatory network of the miRNA-mediated response to biotic and abiotic stress in melon. BMC Plant Biol 19(1):1–17
Shannon P, Markiel A, Ozier O et al (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 13(11):2498–2504. https://doi.org/10.1101/gr.1239303
Shin AY, Kim YM, Koo N, Lee SM, Nahm S, Kwon SY (2017) Transcriptome analysis of the oriental melon (Cucumis melo L. var. makuwa) during fruit development. PeerJ 5:e2834
Sievers F, Wilm A, Dineen D et al (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 7(1):539
Suyama M, Torrents D, Bork P (2006) PAL2NAL: robust conversion of protein sequence alignments into the corresponding codon alignments. Nucleic Acids Res 34(Web Server issue):W609-612. https://doi.org/10.1093/nar/gkl315
Ünel NM (2018) Bioinformatics analysis of cucumber heat shock proteins and investigation of response to abiotic stress conditions by using omics approaches (Master’s thesis, Kastamonu University, Institute of Science and Technology).
Unel NM, Cetin F, Karaca Y, Altunoglu YC, Baloglu MC (2019) Comparative identification, characterization, and expression analysis of bZIP gene family members in watermelon and melon genomes. Plant Growth Regul 87(2):227–243
Voorrips RE (2002) MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered 93(1):77–78. https://doi.org/10.1093/jhered/93.1.77
Yan A, Wu M, Yan L, Hu R, Ali I, Gan Y (2014) AtEXP2 is involved in seed germination and abiotic stress response in Arabidopsis. PLoS One 9:e85208
Yang Z, Gu S, Wang X, Li W, Tang Z, Xu C (2008) Molecular evolution of the CPP-like gene family in plants: insights from comparative genomics of Arabidopsis and rice. J Mol Evol 67(3):266–277. https://doi.org/10.1007/s00239-008-9143-z
Yeşil S (2019) Some virus diseases of edible seed squash (Cucurbita pepo L.) in Aksaray Province, Turkey. Yuzuncu Yıl Univ J Agric Sci 29(Special issue):63–71
Zhang W, Yan H, Chen W et al (2014) Genome-wide identification and characterization of maize expansin genes expressed in endosperm. Mol Genet Genomics 289(6):1061–1074. https://doi.org/10.1007/s00438-014-0867-8
Zhang Y (2005) miRU: an automated plant miRNA target prediction server. Nucleic Acids Res 33(suppl_2):W701–W704
Zhu Y, Wu N, Song W, Yin G, Qin Y, Yan Y, Hu Y (2014) Soybean (Glycine max) expansin gene superfamily origins: segmental and tandem duplication events followed by divergent selection among subfamilies. BMC Plant Biol 14(1):1–19
Zhu YC, Sun DX, Yun DENG et al (2020) Comparative transcriptome analysis of the effect of different heat shock periods on the unfertilized ovule in watermelon (Citrullus lanatus). J Integr Agric 19(2):528–540
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This work was financially supported by The Scientific and Technological Research Council of Turkey (TUBITAK), Project no: 119Z018.
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All authors contributed to the study conception. Planned and designed the research: YCA and MCB; performed experiments: ÇYI, BA, ENYÇ, FU, EH, EÇ, and GB; analyzed data: AUB, YCA, and FU; wrote and edited the manuscript: YCA, ÇYI, and MCB. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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İncili, Ç.Y., Arslan, B., Çelik, E.N.Y. et al. Comparative bioinformatics analysis and abiotic stress responses of expansin proteins in Cucurbitaceae members: watermelon and melon. Protoplasma 260, 509–527 (2023). https://doi.org/10.1007/s00709-022-01793-8
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DOI: https://doi.org/10.1007/s00709-022-01793-8