Journals / International Journal of Life Sciences and Biotechnology / 2026 / Cilt: 9 Sayı: 2

Genome-Wide Identification, Evolutionary Analysis and Comprehensive In Silico Characterization of the GPAT Gene Family in Sunflower (Helianthus annuus L.)

Ayçiçeğinde (Helianthus annuus L.) GPAT Gen Ailesinin Genom Çapında Tanımlanması, Evrimsel Analizi ve Kapsamlı Bilgisayar Destekli Karakterizasyonu

Neslihan Ünal(ANKARA ÜNİVERSİTESİ)0009-0004-0372-0182
Pages
106–116
Publication Date
2026-08-17
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings contribute to a better understanding of the structural features, evolutionary relationships, and expression profiles of the HaGPAT gene family, and constitute a valuable genomic resource for future functional studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Glycerol-3-phosphate acyltransferase (GPAT) are enzymes involved in glycerolipid biosynthesis and play a key role in plant growth, development, and abiotic stress responses.
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Key Findings & Data:A total of 23 HaGPAT genes were identified; their chromosomal distributions, phylogenetic relationships, gene structures, conserved motifs, protein properties, subcellular localizations, cis-regulatory elements, miRNA targets, protein-protein interaction networks, three-dimensional protein structures, synteny relationships, duplication events, Ka/Ks ratios, and expression profiles based on RNA-seq data were analyzed.
💡
Conclusion & Impact:These findings contribute to a better understanding of the structural features, evolutionary relationships, and expression profiles of the HaGPAT gene family, and constitute a valuable genomic resource for future functional studies.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Helianthus annuus · GPAT · Genom çapında analiz

Abstract

Glycerol-3-phosphate acyltransferase (GPAT) are enzymes involved in glycerolipid biosynthesis and play a key role in plant growth, development, and abiotic stress responses. However, a comprehensive genome-wide and in silico analysis of the GPAT gene family in sunflower (Helianthus annuus L.) has not been performed to date. In this study, the GPAT gene family in the sunflower genome was characterized using bioinformatics approaches. A total of 23 HaGPAT genes were identified; their chromosomal distributions, phylogenetic relationships, gene structures, conserved motifs, protein properties, subcellular localizations, cis-regulatory elements, miRNA targets, protein-protein interaction networks, three-dimensional protein structures, synteny relationships, duplication events, Ka/Ks ratios, and expression profiles based on RNA-seq data were analyzed. Expression analyses based on RNA-seq data showed that HaGPAT genes exhibited variable expression profiles under different tissues. These findings contribute to a better understanding of the structural features, evolutionary relationships, and expression profiles of the HaGPAT gene family, and constitute a valuable genomic resource for future functional studies.

Özet

Gliserol-3-fosfat açiltransferaz (GPAT), gliserolipit biyosentezinde rol alan ve bitki büyümesi, gelişimi ve abiyotik stres tepkilerinde önemli bir rol oynayan enzimlerdir. Bununla birlikte, ayçiçeğinde (Helianthus annuus L.) GPAT gen ailesinin kapsamlı bir genom çapında ve in silico analizi bugüne kadar yapılmamıştır. Bu çalışmada, ayçiçeği genomundaki GPAT gen ailesi biyoinformatik yaklaşımlar kullanılarak karakterize edilmiştir. Toplam 23 HaGPAT geni tanımlanmıştır; bunların kromozomal dağılımları, filogenetik ilişkileri, gen yapıları, korunmuş motifleri, protein özellikleri, hücre altı lokalizasyonları, cis-düzenleyici elementleri, miRNA hedefleri, protein-protein etkileşim ağları, üç boyutlu protein yapıları, senteni ilişkileri, duplikasyon olayları, Ka/Ks oranları ve RNA-seq verilerine dayalı ekspresyon profilleri analiz edilmiştir. RNA-seq verilerine dayalı ekspresyon analizleri, HaGPAT genlerinin farklı dokularda değişken ekspresyon kalıpları sergilediğini göstermiştir. Bu bulgular, HaGPAT gen ailesinin yapısal özelliklerinin, evrimsel ilişkilerinin ve ekspresyon profillerinin daha iyi anlaşılmasına katkıda bulunmakta ve gelecekteki fonksiyonel çalışmalar için değerli bir genomik kaynak oluşturmaktadır.

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Cite This Article

Ünal, N. (2026). Genome-Wide Identification, Evolutionary Analysis and Comprehensive In Silico Characterization of the GPAT Gene Family in Sunflower (Helianthus annuus L.). International Journal of Life Sciences and Biotechnology, Cilt: 9 Sayı: 2, 106–116. https://doi.org/10.38001/ijlsb.1966973

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References (55)

  1. References 1. Kasapoğlu, Ayşe Gül, et al. Genome-wide characterization of the GPAT gene family in bean (Phaseolus vulgaris L.) and expression analysis under abiotic stress and melatonin. Genetic Resources and Crop Evolution, 2024, 71.8: 45494569. https://doi.org/10.1007/s10722-024-01899-3
  2. Niu, Ying-Fang, et al. Molecular characterization of a glycerol-3-phosphate acyltransferase reveals key features essential for triacylglycerol production in Phaeodactylum tricornutum. Biotechnology for Biofuels, 2016, 9.1: 60. https://doi.org/10.1186/s13068-016-0478-1
  3. Li, Yanli, et al. Phylogenomics and functional analysis of Glycerol‐3‐Phosphate Acyltransferase (GPAT) Genes: A critical role in lipid biosynthesis. Physiologia Plantarum, 2024, 176.5: e14509. https://doi.org/10.1111/ppl.14509
  4. Murata, Norio and Tasaka, Yasushi. Glycerol-3-phosphate acyltransferase in plants. Biochimica et Biophysica Acta (BBA)-Lipids and Lipid Metabolism, 1997, 1348.1-2: 10-16. https://doi.org/10.1016/s0005-2760(97)00115-x
  5. Zheng, Zhifu, et al. Arabidopsis AtGPAT1, a member of the membrane-bound glycerol-3-phosphate acyltransferase gene family, is essential for tapetum differentiation and male fertility. The Plant Cell, 2003, 15.8: 1872-1887. https://doi.org/10.1105/tpc.012427
  6. Cui, Yupeng, et al. Genome-wide identification, sequence variation, and expression of the glycerol-3-phosphate acyltransferase (GPAT) gene family in Gossypium. Frontiers in Genetics, 2019, 10: 116. https://doi.org/10.3389/fgene.2019.00116
  7. Li, Xueting, et al. Characterization of the glycerol-3-phosphate acyltransferase gene and its real-time expression under cold stress in Paeonia lactiflora Pall. PLoS One, 2018, 13.8: e0202168. https://doi.org/10.1371/journal.pone.0202168
  8. Ma, Jianzhi, et al. Genome-wide identification of the GPAT family in medicago sativa L. and expression profiling under abiotic stress. Plants, 2024, 13.23: 3392. https://doi.org/10.3390/plants13233392
  9. Safder, Imran, et al. Identification and analysis of the structure, expression and nucleotide polymorphism of the GPAT gene family in rice. Plant Gene, 2021, 26: 100290. https://doi.org/10.1016/j.plgene.2021.100290
  10. Singer, Stacy D., et al. Arabidopsis GPAT9 contributes to synthesis of intracellular glycerolipids but not surface lipids. Journal of experimental botany, 2016, 67.15: 4627-4638. https://doi.org/10.1093/jxb/erw242
  11. Jia, Qianru, et al. Mitochondrial GPATs protect Arabidopsis from water stress by impacting cuticle and secondary cell wall development. Plant Cell Reports, 2025, 44.10: 225. https://doi.org/10.1007/s00299-025-03608-5
  12. Beisson, Fred, et al. The acyltransferase GPAT5 is required for the synthesis of suberin in seed coat and root of Arabidopsis. The Plant Cell, 2007, 19.1: 351-368. https://doi.org/10.1105/tpc.106.048033
  13. Zhang, Xuanhao, et al. Function identification of Arabidopsis GPAT4 and GPAT8 in the biosynthesis of suberin and cuticular wax. Plant Science, 2024, 339: 111933. https://doi.org/10.1016/j.plantsci.2023.111933
  14. Riccucci, Ettore, et al. Genome-wide analysis of WOX multigene family in sunflower (Helianthus annuus L.). International Journal of Molecular Sciences, 2023, 24.4: 3352. https://doi.org/10.3390/ijms24043352
  15. Goodstein, David M., et al. Phytozome: a comparative platform for green plant genomics. Nucleic acids research, 2012, 40.D1: D1178-D1186. https://doi.org/10.1093/nar/gkr944
  16. Potter, Simon C., et al. HMMER web server: 2018 update. Nucleic acids research, 2018, 46.W1: W200-W204. https://doi.org/10.1093/nar/gky448
  17. Mount, David W. Using the basic local alignment search tool (BLAST). Cold spring harbor Protocols, 2007, 2007.7: pdb. top17.https://doi.org/10.1101/pdb.top17
  18. Liu, Yue, et al. Genome-wide analysis of wheat DNA-binding with one finger (Dof) transcription factor genes: evolutionary characteristics and diverse abiotic stress responses. BMC genomics, 2020, 21.1: 276. https://doi.org/10.1186/s12864-020-6691-0
  19. Marchler-Bauer, Aron, et al. CDD: NCBI's conserved domain database. Nucleic acids research, 2015, 43.D1: D222-D226. https://doi.org/10.1093/nar/gku1221
  20. Gasteiger, Elisabeth, et al. ExPASy: the proteomics server for in-depth protein knowledge and analysis. Nucleic acids research, 2003, 31.13: 3784-3788. https://doi.org/10.1093/nar/gkg563
  21. Bailey, Timothy L., et al. The MEME suite. Nucleic acids research, 2015, 43.W1: W39-W49. https://doi.org/10.1093/nar/gkv416
  22. Chen, Chengjie, et al. TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining. Molecular plant, 2023, 16.11: 1733-1742. https://doi.org/10.1016/j.molp.2023.09.010
  23. Tamura, Koichiro; Stecher, Glen; Kumar, Sudhir. MEGA11: molecular evolutionary genetics analysis version 11. Molecular biology and evolution, 2021, 38.7: 3022-3027. https://doi.org/10.1093/molbev/msab120
  24. Letunic, Ivica and Bork, Peer. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool. Nucleic acids research, 2024, 52.W1: W78-W82. https://doi.org/10.1093/nar/gkae268
  25. Wang, Yupeng, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic acids research, 2012, 40.7: e49-e49. https://doi.org/10.1093/nar/gkr1293
  26. Gaut, Brandon S., et al. Substitution rate comparisons between grasses and palms: synonymous rate differences at the nuclear gene Adh parallel rate differences at the plastid gene rbcL. Proceedings of the National Academy of Sciences, 1996, 93.19: 10274-10279. https://doi.org/10.1073/pnas.93.19.10274
  27. Lescot, Magali, et al. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic acids research, 2002, 30.1: 325 327. https://doi.org/10.1093/nar/30.1.325
  28. Dai, Xinbin; Zhuang, Zhaohong; Zhao, Patrick Xuechun. psRNATarget: a plant small RNA target analysis server (2017 release). Nucleic acids research, 2018, 46.W1: W49-W54. https://doi.org/10.1093/nar/gky316
  29. Shannon, Paul, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome research, 2003, 13.11: 2498. https://doi.org/10.1101/gr.1239303
  30. Szklarczyk, Damian, et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic acids research, 2019, 47.D1: D607-D613. https://doi.org/10.1093/nar/gky1131
  31. Kelley, Lawrence A., et al. The Phyre2 web portal for protein modeling, prediction and analysis. Nature protocols, 2015, 10.6: 845-858. https://doi.org/10.1038/nprot.2015.053
  32. Badouin, H., et al. The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Nature. 2017;546(7656):148–152. https://doi.org/10.1038/nature22380
  33. Xu, Yan-Hong, et al. Genome-wide analysis of WRKY transcription factors in Aquilaria sinensis (Lour.) Gilg. Scientific Reports, 2020, 10.1: 3018. https://doi.org/10.1038/s41598-020-59597-w
  34. Waschburger, Edgar, et al. Genome-wide analysis of the Glycerol-3-Phosphate Acyltransferase (GPAT) gene family reveals the evolution and diversification of plant GPATs. Genetics and molecular biology, 2018, 41.1 suppl 1: 355-370. https://doi.org/10.1590/1678-4685-gmb-2017-0076
  35. Yang, Weili, et al. A land-plant-specific glycerol-3-phosphate acyltransferase family in Arabidopsis: substrate specificity, sn-2 preference, and evolution. Plant Physiology, 2012, 160.2: 638-652. https://doi.org/10.1104/pp.112.201996
  36. Zhou, Yali, et al. Genome-Wide analysis of Glycerol-3-Phosphate Acyltransferase (GPAT) family in Perilla frutescens and functional characterization of PfGPAT9 crucial for biosynthesis of storage oils rich in high-value lipids. International Journal of Molecular Sciences, 2023, 24.20: 15106. https://doi.org/10.3390/ijms242015106
  37. Zhu, Taotao, et al. Genome-wide analysis of maize GPAT gene family and cytological characterization and breeding application of ZmMs33/ZmGPAT6 gene. Theoretical and Applied Genetics, 2019, 132.7: 2137-2154. https://doi.org/10.1007/s00122-019-03343-y
  38. Li, Xin, et al. Characterization of the Soybean GPAT Gene Family Identifies GmGPAT1 as a Key Protein in Salt Stress Tolerance. Plants, 2025, 14.18: 2862. https://doi.org/10.3390/plants14182862
  39. Wang, Jingxue, et al. Genome-wide analysis of glycerol-3-phosphate O-acyltransferase gene family and functional characterization of two cutin group GPATs in Brassica napus. Planta, 2020, 251.4: 93. https://doi.org/10.1007/s00425-020-03384-4
  40. Zhang, Zhang, et al. KaKs_Calculator: calculating Ka and Ks through model selection and model averaging. Genomics, proteomics & bioinformatics, 2006, 4.4: 259-263. https://doi.org/10.1016/s1672-0229(07)60007-2
  41. Li, Jun, et al. Correlation between Ka/Ks and Ks is related to substitution model and evolutionary lineage. Journal of molecular evolution, 2009, 68.4: 414-423. https://doi.org/10.1007/s00239-009-9222-9
  42. Wang, Yupeng, et al. Detection of colinear blocks and synteny and evolutionary analyses based on utilization of MCScanX. Nature Protocols, 2024, 19.7: 2206-2229. https://doi.org/10.1038/s41596-024-00968-2
  43. Pu, Mengfan, et al. Regulatory network of miRNA on its target: coordination between transcriptional and post-transcriptional regulation of gene expression. Cellular and molecular life sciences: CMLS, 2018, 76.3: 441. https://doi.org/10.1007/s00018-018-2940-7
  44. Zeng, Houqing, et al. Role of microRNAs in plant responses to nutrient stress. Plant and Soil, 2014, 374.1: 1005-1021. https://doi.org/10.1007/s11104-013-1907-6
  45. Shriram, Varsha, et al. MicroRNAs as potential targets for abiotic stress tolerance in plants. Frontiers in Plant Science, 2016, 7: 817. https://doi.org/10.3389/fpls.2016.00817
  46. Dong, Xiangxiang, et al. miR390-tasiRNA3-ARF4 pathway is involved in regulating flowering time in woodland strawberry. Plant Cell Reports, 2022, 41.4: 921-934. https://doi.org/10.1007/s00299-021-02828-9
  47. Mukherjee, Amrita, et al. Enhancement of ABA sensitivity through conditional expression of the ARF10 gene in Brassica juncea reveals fertile plants with tolerance against Alternaria brassicicola. Molecular Plant-Microbe Interactions, 2019, 32.10: 1429-1447. https://doi.org/10.1094/mpmi-05-19-0132-r
  48. Athanasios, Alexiou, et al. Protein-protein interaction (PPI) network: recent advances in drug discovery. Current drug metabolism, 2017, 18.1: 5-10. https://doi.org/10.2174/138920021801170119204832
  49. Kisko, Mushtak, et al. LPCAT1 controls phosphate homeostasis in a zinc-dependent manner. Elife, 2018, 7: e32077. https://doi.org/10.7554/elife.32077
  50. Pan, Archana; Pranavathiyani, G.; Chakraborty, Sibani Sen. Computational modeling of protein three-dimensional structure: Methods and resources. In: Molecular docking for computer-aided drug design. Academic Press, 2021. p. 155-178.https://doi.org/10.1016/b978-0-12-822312-3.00023-0
  51. Li, Xiao-Chuan, et al. Glycerol-3-phosphate acyltransferase 6 (GPAT6) is important for tapetum development in Arabidopsis and plays multiple roles in plant fertility. Molecular Plant, 2012, 5.1: 131-142. https://doi.org/10.1093/mp/ssr057
  52. Berhin, Alice, et al. GPAT2 is required for root cap cuticle formation in young Arabidopsis seedlings. Cell reports, 2026, 45.1. https://doi.org/10.1016/j.celrep.2025.116686
  53. Wang, Wenlong, et al. TaGPAT6 enhances salt tolerance in wheat by synthesizing cutin and suberin monomers to form a diffusion barrier. Journal of Integrative Plant Biology, 2025, 67.2: 208-225. https://doi.org/10.1111/jipb.13808
  54. Niu, Ying-Fang, et al. Molecular characterization of a glycerol-3-phosphate acyltransferase reveals key features essential for triacylglycerol production in Phaeodactylum tricornutum. Biotechnology for Biofuels, 2016, 9.1: 60. https://doi.org/10.1186/s13068-016-0478-1
  55. Li, Yanli, et al. Phylogenomics and functional analysis of Glycerol‐3‐Phosphate Acyltransferase (GPAT) Genes: A critical role in lipid biosynthesis. Physiologia Plantarum, 2024, 176.5: e14509. https://doi.org/10.1111/ppl.14509