Literature DB >> 34949778

Fast and accurate metagenotyping of the human gut microbiome with GT-Pro.

Zhou Jason Shi1,2, Boris Dimitrov3, Chunyu Zhao1, Stephen Nayfach4,5, Katherine S Pollard6,7,8.   

Abstract

Single nucleotide polymorphisms (SNPs) in metagenomics are used to quantify population structure, track strains and identify genetic determinants of microbial phenotypes. However, existing alignment-based approaches for metagenomic SNP detection require high-performance computing and enough read coverage to distinguish SNPs from sequencing errors. To address these issues, we developed the GenoTyper for Prokaryotes (GT-Pro), a suite of methods to catalog SNPs from genomes and use unique k-mers to rapidly genotype these SNPs from metagenomes. Compared to methods that use read alignment, GT-Pro is more accurate and two orders of magnitude faster. Using high-quality genomes, we constructed a catalog of 104 million SNPs in 909 human gut species and used unique k-mers targeting this catalog to characterize the global population structure of gut microbes from 7,459 samples. GT-Pro enables fast and memory-efficient metagenotyping of millions of SNPs on a personal computer.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 34949778     DOI: 10.1038/s41587-021-01102-3

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   68.164


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-15       Impact factor: 11.205

Review 2.  Population Genetics in the Human Microbiome.

Authors:  Nandita R Garud; Katherine S Pollard
Journal:  Trends Genet       Date:  2019-11-25       Impact factor: 11.639

3.  The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes.

Authors:  Todd J Treangen; Brian D Ondov; Sergey Koren; Adam M Phillippy
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

4.  DESMAN: a new tool for de novo extraction of strains from metagenomes.

Authors:  Christopher Quince; Tom O Delmont; Sébastien Raguideau; Johannes Alneberg; Aaron E Darling; Gavin Collins; A Murat Eren
Journal:  Genome Biol       Date:  2017-09-21       Impact factor: 13.583

5.  metaSNV: A tool for metagenomic strain level analysis.

Authors:  Paul Igor Costea; Robin Munch; Luis Pedro Coelho; Lucas Paoli; Shinichi Sunagawa; Peer Bork
Journal:  PLoS One       Date:  2017-07-28       Impact factor: 3.240

6.  An integrated metagenomics pipeline for strain profiling reveals novel patterns of bacterial transmission and biogeography.

Authors:  Stephen Nayfach; Beltran Rodriguez-Mueller; Nandita Garud; Katherine S Pollard
Journal:  Genome Res       Date:  2016-10-18       Impact factor: 9.043

7.  Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis.

Authors:  Qifan Zeng; Chao Liao; Jeffery Terhune; Luxin Wang
Journal:  Microbiome       Date:  2019-12-09       Impact factor: 14.650

8.  Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism.

Authors:  Vayu Maini Rekdal; Elizabeth N Bess; Jordan E Bisanz; Peter J Turnbaugh; Emily P Balskus
Journal:  Science       Date:  2019-06-14       Impact factor: 47.728

9.  Genomic variation landscape of the human gut microbiome.

Authors:  Siegfried Schloissnig; Manimozhiyan Arumugam; Shinichi Sunagawa; Makedonka Mitreva; Julien Tap; Ana Zhu; Alison Waller; Daniel R Mende; Jens Roat Kultima; John Martin; Karthik Kota; Shamil R Sunyaev; George M Weinstock; Peer Bork
Journal:  Nature       Date:  2012-12-05       Impact factor: 49.962

10.  ConStrains identifies microbial strains in metagenomic datasets.

Authors:  Chengwei Luo; Rob Knight; Heli Siljander; Mikael Knip; Ramnik J Xavier; Dirk Gevers
Journal:  Nat Biotechnol       Date:  2015-09-07       Impact factor: 54.908

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  1 in total

1.  Precise genotyping of circular mobile elements from metagenomic data uncovers human-associated plasmids with recent common ancestors.

Authors:  Nitan Shalon; David A Relman; Eitan Yaffe
Journal:  Genome Res       Date:  2022-04-12       Impact factor: 9.438

  1 in total

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