Wing Yin Cheng, Wei-Xin Liu, Yanqiang Ding, Guoping Wang, Yu Shi, Eagle S H Chu, Sunny Wong, Joseph J Y Sung, Jun Yu
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引用次数: 0
Abstract
The high host genetic background of tissue biopsies hinders the application of shotgun metagenomic sequencing in characterizing the tissue microbiota. We proposed an optimized method that removed host DNA from colon biopsies and examined the effect on metagenomic analysis. Human or mouse colon biopsies were divided into two groups, with one group undergoing host DNA depletion and the other serving as the control. Host DNA was removed through differential lysis of mammalian and bacterial cells before sequencing. The impact of host DNA depletion on microbiota was compared based on phylogenetic diversity analyses and regression analyses. Removing host DNA enhanced bacterial sequencing depth and improved species discovery, increasing bacterial reads by 2.46 ± 0.20 folds while reducing host reads by 6.80% ± 1.06%. Moreover, 2.40 times more of bacterial species were detected after host DNA depletion. This was confirmed from mouse colon tissues, increasing bacterial reads by 5.46 ± 0.42 folds while decreasing host reads by 10.2% ± 0.83%. Similarly, significantly more bacterial species were detected in the mouse colon tissue upon host DNA depletion (P < 0.001). Furthermore, an increased microbial richness was evident in the host DNA-depleted samples compared with non-depleted controls in human colon biopsies and mouse colon tissues (P < 0.001). Our optimized method of host DNA depletion improves the sensitivity of shotgun metagenomic sequencing in bacteria detection in the biopsy, which may yield a more accurate taxonomic profile of the tissue microbiota and identify bacteria that are important for disease initiation or progression.
期刊介绍:
Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.