16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis

被引:0
|
作者
Wenxuan Zuo
Beibei Wang
Xin Bai
Yihui Luan
Yingying Fan
Sonia Michail
Fengzhu Sun
机构
[1] University of Southern California,Quantitative and Computational Biology Department
[2] Shandong University,School of Mathematics
[3] University of Southern California,Data Sciences and Operations Department, Marshall School of Business
[4] Keck School of Medicine of the University of Southern California,Department of Pediatrics
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Dysbiosis of human gut microbiota has been reported in association with ulcerative colitis (UC) in both children and adults using either 16S rRNA gene or shotgun sequencing data. However, these studies used either 16S rRNA or metagenomic shotgun sequencing but not both. We sequenced feces samples from 19 pediatric UC and 23 healthy children ages between 7 to 21 years using both 16S rRNA and metagenomic shotgun sequencing. The samples were analyzed using three different types of data: 16S rRNA genus level abundance, microbial species and pathway abundance profiles. We demonstrated that (a) the alpha diversity of pediatric UC cases is lower than that of healthy controls; (b) the beta diversity within children with UC is more variable than within the healthy children; (c) several microbial families including Akkermansiaceae, Clostridiaceae, Eggerthellaceae, Lachnospiraceae, and Oscillospiraceae, contain species that are depleted in pediatric UC compared to controls; (d) a few associated species unique to pediatric UC, but not adult UC, were also identified, e.g. some species in the Christensenellaceae family were found to be depleted and some species in the Enterobacteriaceae family were found to be enriched in pediatric UC; and (e) both 16S rRNA and shotgun sequencing data can predict pediatric UC status with area under the receiver operating characteristic curve (AUROC) of close to 0.90 based on cross validation. We showed that 16S rRNA data yielded similar results as shotgun data in terms of alpha diversity, beta diversity, and prediction accuracy. Our study demonstrated that pediatric UC subjects harbor a dysbiotic and less diverse gut microbial population with distinct differences from healthy children. We also showed that 16S rRNA data yielded accurate disease prediction results in comparison to shotgun data, which can be more expensive and laborious. These conclusions were confirmed in an independent data set of 7 pediatric UC cases and 8 controls.
引用
收藏
相关论文
共 50 条
  • [41] 16S rRNA Gene Sequencing for Deciphering the Colorectal Cancer Gut Microbiome: Current Protocols and Workflows
    Osman, Muhammad-Afiq
    Neoh, Hui-min
    Ab Mutalib, Nurul-Syakima
    Chin, Siok-Fong
    Jamal, Rahman
    [J]. FRONTIERS IN MICROBIOLOGY, 2018, 9
  • [42] LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing
    Ashok Kumar Dubey
    Niyati Uppadhyaya
    Pravin Nilawe
    Neeraj Chauhan
    Santosh Kumar
    Urmila Anurag Gupta
    Anirban Bhaduri
    [J]. Scientific Data, 5
  • [43] Performance of a Shotgun Prediction Model for Colorectal Cancer When Using 16S rRNA Sequencing Data
    Ramon, Elies
    Obon-Santacana, Mireia
    Khannous-Lleiffe, Olfat
    Saus, Ester
    Gabaldon, Toni
    Guino, Elisabet
    Bars-Cortina, David
    Ibanez-Sanz, Gemma
    Rodriguez-Alonso, Lorena
    Mata, Alfredo
    Garcia-Rodriguez, Ana
    Moreno, Victor
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (02)
  • [44] Instruction of microbiome taxonomic profiling based on 16S rRNA sequencing
    Hyojung Kim
    Sora Kim
    Sungwon Jung
    [J]. Journal of Microbiology, 2020, 58 : 193 - 205
  • [45] Instruction of microbiome taxonomic profiling based on 16S rRNA sequencing
    Kim, Hyojung
    Kim, Sora
    Jung, Sungwon
    [J]. JOURNAL OF MICROBIOLOGY, 2020, 58 (03) : 193 - 205
  • [46] Cilantro microbiome before and after nonselective pre-enrichment for Salmonella using 16S rRNA and metagenomic sequencing
    Jarvis, Karen G.
    White, James R.
    Grim, Christopher J.
    Ewing, Laura
    Ottesen, Andrea R.
    Beaubrun, Junia Jean-Gilles
    Pettengill, James B.
    Brown, Eric
    Hanes, Darcy E.
    [J]. BMC MICROBIOLOGY, 2015, 15
  • [47] Cilantro microbiome before and after nonselective pre-enrichment for Salmonella using 16S rRNA and metagenomic sequencing
    Karen G. Jarvis
    James R. White
    Christopher J. Grim
    Laura Ewing
    Andrea R. Ottesen
    Junia Jean-Gilles Beaubrun
    James B. Pettengill
    Eric Brown
    Darcy E. Hanes
    [J]. BMC Microbiology, 15
  • [48] Dysbiosis of the shrimp (Penaeus monodon) gut microbiome with AHPND outbreaks revealed by 16S rRNA metagenomics analysis
    Hossain, Md. Shahdat
    Dai, Jingcheng
    Qiu, Dongru
    [J]. AQUACULTURE RESEARCH, 2021, 52 (07) : 3336 - 3349
  • [49] Exploring Gut Microbiota in Patients with Colorectal Disease Based on 16S rRNA Gene Amplicon and Shallow Metagenomic Sequencing
    Liu, Yuanfeng
    Li, Xiang
    Yang, Yudie
    Liu, Ye
    Wang, Shijun
    Ji, Boyang
    Wei, Yongjun
    [J]. FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [50] Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
    Ibal, Jerald Conrad
    Park, Yeong-Jun
    Park, Min-Kyu
    Lee, Jooeun
    Kim, Min-Chul
    Shin, Jae-Ho
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (18)