从越南广治海海绵体相关微生物宏基因组中筛选蛋白蛋白酶抑制剂基因

T. Hong, P. V. Cuong, N. Cuc
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引用次数: 1

摘要

近年来,利用宏基因组学方法从海洋环境中分离新化合物受到越来越多的关注。基于宏基因组文库的生物信息学方法是从非培养微生物中筛选具有新生物活性基因的有力工具,是生物技术研究和应用的一个突破口。本研究从越南广直海采集的6份海绵相关微生物DNA样本中选择DNA含量和纯度较高的样品DNA QT2进行宏基因组测序(DNA浓度为202.5 ng, A260/ A280值为1.80)。QT2的16S rRNA宏基因组测序数据产生44,117,722个reads,组装成120,236个contigs。使用Prodigal进行ORF预测产生了386,416个ORF。基于7个不同的数据库(NR、COG、CAZy、Swissprot、GO、KEGG、Pfam)进行功能注释,Swiss-Prot共注释了266553个基因。此外,根据获得的宏基因组数据,共发现50个编码蛋白酶抑制剂蛋白的完整基因,其中28个编码蛋白的基因(> 50%)属于丝氨酸蛋白酶抑制剂家族,22个编码蛋白的基因属于α -胰蛋白酶抑制剂组。NCBI BLAST筛选结果表明,这些蛋白与蛋白酶抑制剂的同源性高于50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening genes encoding protein protease inhibitor from metagenome of sponge-associated microorganisms in Quang Tri sea, Vietnam
Using metagenomics-based method to isolate new compounds from the marine environment are getting more and more attention in recent years. Based on metagenome library, bioinformatics methods is a powerful tool for screening genes with new biological activities from uncultured microorganisms and become a breakthrough in research and application of biotechnology. In this study we selected and used the samples DNA QT2 which had high DNA content and purity from a total of 6 DNA samples of sponge-associated microorganisms collected in Quang Tri sea (Vietnam) for metagenomic sequencing (DNA concentration is 202.5 ng, A260/ A280 value is 1.80). 16S rRNA metagenomic sequencing data of QT2 produced 44,117,722 reads, which were assembled into 120,236 contigs. ORF prediction using Prodigal produced 386,416 ORFs. Functional annotation was conducted based on 7 different databases (NR, COG, CAZy, Swissprot, GO, KEGG, Pfam), and there are 266,553 genes were annotated using Swiss-Prot. In addition, based on the obtained metagenomic data, 50 complete genes encoding protease inhibitor proteins were revealed and among them, 28 genes encoding protein (> 50%) belonged to the serine protease inhibitor family, and 22 genes genes encoding belonged to the Inter-alpha-trypsin inhibitor group. NCBI BLAST screening results that these proteins had higher 50% identity to protease inhibitors. 
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