Objective:This study aims to more efficiently use the data obtained from a bacterial community analysis performed using next-generation sequencing based on the 16S ribosomal RNA (rRNA) amplicon sequencing (AS) strategy by creating a bacterial community analysis algorithm. Materials and Methods:The V3–V4 16S rRNA hypervariable regions of 96 human gut microbiota samples were sequenced using the Illumina MiSeq system by the paired-end sequencing method. Bioinformatics analysis was performed by the QIIME 2 open-source software. Results:The V3–V4 16S rRNA hypervariable regions of 96 gut samples were sequenced successfully using 16S rRNA AS. At the end of the study, the total reading was 23.42 M, the cluster density was 883 K/mm2, the cluster density passing the filter was 92.13%, and the quality scores were >Q30 = 76.7%. Our laboratory created a bacterial community analysis algorithm from the data we have obtained in this study and based on our experience and knowledge during the study process. Conclusion: Our bacterial community analysis algorithm will be used to carry out similar studies in our laboratory within the same, comparable standards. We believe that this algorithm will serve as a reference for researchers in Turkey. In addition, if different research centers will use this algorithm, their data will be comparable to those of our laboratory and other centers in our country and the world using the same protocol. In this way, we can help increase the efficiency of studies and the value of the data obtained from the human gut microbiota.
|Destekleyen Kurum||İ.Ü. Bilimsel Araştırmalar Proje Birimi|
: 18 Eylül 2020
|APA||Sever Kaya, D , Saka, B . (2020). İstanbul Tıp Fakültesi Klinik Nütrisyon ve Mikrobiyota Araştırma Laboratuvarı Bakteriyel Topluluk Analiz Algoritması . Sağlık Bilimlerinde İleri Araştırmalar Dergisi , 3 (3) , 157-167 . Retrieved from https://dergipark.org.tr/tr/pub/sabiad/issue/57700/792223|