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Novi Yanti
Uniersitas Islam Negeri Sultan Syarif Kasim Riau
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Journal : JOIV : International Journal on Informatics Visualization

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Bioinformatic Analysis in Designing Mega-primer in Overlap Extension PCR Cloning (OEPC) Technique Mardalisa, -; Suhandono, Sony; Yanti, Novi; Rozi, Fazrol; Nova, Fitri; Primawati, -
JOIV : International Journal on Informatics Visualization Vol 5, No 2 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.2.459

Abstract

Bioinformatics has developed into an application tool for basic and applied research in the biomedical and biotechnology field. Polymerase Chain Reaction (PCR) is a common technique in the molecular area that has always involved bioinformatics science. PCR cloning techniques such as TA cloning and PCR-mediated cloning exhibit complex processes with low success rates. One easy, effective, and practical solution is to use a mega-primer with the Overlap Extension PCR Cloning (OEPC) technique. The success of PCR cloning using the mega-primer design in the OEPC technique is strongly influenced by the characteristics of the mega-primer used. Knowledge of mega-primer characteristics is one of the important factors in the success of PCR cloning. The design process for the mega-primer str promoter was characterized based on the principle of a genetic algorithm using the web-based bioinformatics tools such as ClustalW, NetPrimer, and BLAST. The success of the mega-primer construction in producing recombinant pSB1C3 vector has been confirmed by the sequencing method and the function of the reporting protein (AmilCP). DNA analysis shows a 100 % homologous sequence on the str promoter, while  E. coli colonies successfully express the purplish-blue color. Mega-primer characters can save costs and time of the research by maintaining the primer parameters that provide optimal values and increase the success value of PCR cloning via bioinformatics software. Hence, implications on biological problems, especially using DNA and amino acid sequences, could solve rapidly.
Co-Authors A, Abdul Rahim Abdullah, Musab Mohammed Abdulsatar, Athraa Abdulelah Afriani, Defi Agusri, Wiwis Agussalim, Agussalim Agustiana, Indri Albis Ya Albi Alhaetami, Mochamad Basit Andika Triansyah Anisa, Anisa Marseli Anwar, Miftakhul Aprianda, Rafi Arif Pratama Budiman Aritonang, Tiur Maulina Aslina, Neri Bakkareng, Bakkareng Beddu, Muhammad Juni Butar, Lusiana Butar Chandra Rizal Daud, Normadiah Delvianti Diah Yudhawati Eka Pandu Cynthia Eka Supriatna Elvia Budianita Erniwati Erniwati Fardhan, Muhammad Fazrol Rozi, Fazrol Fitri Insani Fitri Insani Fitri Nova, Fitri Fitri, Radia Hadya, Rizka Huvat, Albuinuslinus Ilham Mahendra Iskandar, Rhoma Ivo Dwi Ananda Jhon Rinaldo Lastina, Irma Lola Oktavia M, Agussalim Mardalisa, - Marliana Safitri Masdi, Muhammad Meri Dwi Anggraini Miftahul Ghifrah Sembiring Moelyadi Moelyadi Muhammad Affandes Muhammad Irsyad MUHAMMAD YUSUF Mursal Mursal Nasriah Nasriah Nazruddin Safaat H Nofriandi, Revi Novia Sari, Suci Novita, Elmahesa Noviyanti Noviyanti, Noviyanti Pertamarvinas, Jimy pestri, Jumia Pizaini Pizaini Primawati, - Putri, Nadila Diana Rahmad Kurniawan Rahman P, Chientya Annisa Rasidi, Rasidi Reflianto, Reflianto Remanti, Remanti Renea Shinta Aminda Renylius, Cindy Onggara Gabriel Reski Mai Candra Rice Haryati Rinaldi, Alhazar Salfadri, Salfadri Sari, Putri Sarjon Defit Satria, Fandri Setiawan, Adil Sofa, Yunarti Indra Soklek, Lusia Desita Egu Purwanti Katarina SONY SUHANDONO Sunreni, Sunreni Susi Yuliastanty Syamsurizal - - Thantawi, Tubagus Rifqy Wandi, Joni Indra Wardhana, Jerry Witri, Fellia Yelvi Fitriani Yelvi Fitriani Yolanda Yolanda, Yolanda YULIA SYAFITRI Yunengsih, Tiara Wirda Yusra, Yusra