SNP discovery and structural insights into OeFAD2 unravelling high oleic/linoleic ratio in olive oil

Ben Ayed R., Moreau F., Ben Hlima H., Rebai A., ERCİŞLİ S., Kadoo N., ...Daha Fazla

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, cilt.20, ss.1229-1243, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.csbj.2022.02.0282001-0370
  • Dergi Adı: COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Compendex, EMBASE, INSPEC, Veterinary Science Database, Directory of Open Access Journals
  • Sayfa Sayıları: ss.1229-1243
  • Anahtar Kelimeler: Fatty acid desaturase, Machine learning, Haplotype, Protein structure, Docking, Oleic, linoleic acid ratio, CLUSTAL-W, GENE, CLASSIFICATION, DNA
  • Atatürk Üniversitesi Adresli: Evet

Özet

Fatty Acid Desaturase 2 (FAD2), a key enzyme in the fatty acid biosynthesis pathway, is involved in the desaturation and conversion of oleic acid to linoleic acid. Therefore, it plays a crucial role in oleic/linoleic acid ratio and the quality of olive oil. DNA sequencing of 19 FAD2 genes from a set of olive oil varieties revealed several single-nucleotide polymorphisms (SNPs) and highlighted associations between some of the SNPs and saturated fatty acids contents. This was further confirmed by SNP-interaction and machine learning approach. Haplotype diversity analysis led to the discovery of three highly polymorphic SNPs and four haplotypes harboring differential oleic/linoleic acid ratios. Moreover, a combination of molecular modeling and docking experiments allowed a deeper and better understanding of the structure-function relationship of the FAD2 enzyme. Sequence patterns and variations involved in the regulation of the FAD2 activity were also identified. Furthermore, S82C and H213N substitutions in OeFAD2 make the Oueslati variety more interesting in terms of fatty acid profile and oleic acid level.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).