Outcomes Assessment

  • Saeid Kadkhodaei
  • Farahnaz Sadat Golestan Hashemi
  • Morvarid Akhavan Rezaei
  • Sahar Abbasiliasi
  • Joo Shun Tan
  • Hamid Rajabi Memari
  • Faruku Bande
  • Ali Baradaran
  • Mahdi Moradpour
  • Arbakariya B. Ariff
Chapter
Part of the SpringerBriefs in Systems Biology book series (BRIEFSBIOSYS)

Abstract

Computational analysis of MARs sequences provided noticeable insights into the structure of these sequences and led us to design an artificial MAR sequence considering the essential motifs and underlain rules. As the consensus TIS, we realized the specific context in the microalgae which associates with locating the ribosome at the correct reading frame. This study also reviews the application of various in silico tools and databases to minimize the time and efforts toward genome-wide discovery of signal peptides. Bioinformatics studies unveiled the specific sequences with the highest signal score for developing secretion systems in the microalga. Furthermore, the gene optimization criteria are reviewed to redesign the coding sequence of the genes of interest. The optimized version of the gene mainly covered the host codon preference, the less structured mRNA, and exposure of TIS. We also discuss the efficient promoter, 5′-UTR, and intron (as the intragenic factors) from the closely related species to construct the specific expression vectors. At the end, the transformation systems are discussed. The expression cassettes containing the optimized genetic elements could be delivered into the microalgae cells and conferred the resistance to herbicide Basta to the transformants for at least 90 generations.

Keywords

Artificial MAR Computational biology approach Optimized genetic elements 

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Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Saeid Kadkhodaei
    • 1
  • Farahnaz Sadat Golestan Hashemi
    • 2
  • Morvarid Akhavan Rezaei
    • 3
  • Sahar Abbasiliasi
    • 4
  • Joo Shun Tan
    • 5
  • Hamid Rajabi Memari
    • 6
  • Faruku Bande
    • 7
  • Ali Baradaran
    • 8
    • 9
  • Mahdi Moradpour
    • 10
  • Arbakariya B. Ariff
    • 11
  1. 1.Institute of BioSciencesUniversiti Putra MalaysiaSeri KembanganMalaysia
  2. 2.Plant Genetics, AgroBioChem Department, Gembloux Agro-Bio TechUniversity of LiègeLiègeBelgium
  3. 3.Tropical Infectious Diseases Research and Education Centre (TIDREC), Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
  4. 4.Halal Products Research InstituteUniversiti Putra MalaysiaSeri KembanganMalaysia
  5. 5.Bioprocess Technology, School of Industrial TechnologyUniversiti Sains MalaysiaGeorge Town, PenangMalaysia
  6. 6.SynHiTechThornhillCanada
  7. 7.Department of Veterinary Services, Ministry of Animal Health and Fisheries DevelopmentUsman Faruk Secretariat, SokotoSokotoNigeria
  8. 8.Mater ResearchTranslational Research InstituteWoolloongabbaAustralia
  9. 9.Faculty of Medicine, Translational Research Institute, Diamantina InstituteUniversity of QueenslandBrisbaneAustralia
  10. 10.Institute of plantation studiesUniversiti Putra MalaysiaSeri KembanganMalaysia
  11. 11.Faculty of Biotechnology and Biomolecular SciencesUniversiti Putra MalaysiaSeri KembanganMalaysia

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