Literature DB >> 34006627

DOE JGI Metagenome Workflow.

Alicia Clum1, Marcel Huntemann2, Brian Bushnell2, Brian Foster2, Bryce Foster2, Simon Roux2, Patrick P Hajek2, Neha Varghese2, Supratim Mukherjee2, T B K Reddy2, Chris Daum2, Yuko Yoshinaga2, Ronan O'Malley2, Rekha Seshadri2, Nikos C Kyrpides2, Emiley A Eloe-Fadrosh2, I-Min A Chen2, Alex Copeland2, Natalia N Ivanova2.   

Abstract

The DOE Joint Genome Institute (JGI) Metagenome Workflow performs metagenome data processing, including assembly; structural, functional, and taxonomic annotation; and binning of metagenomic data sets that are subsequently included into the Integrated Microbial Genomes and Microbiomes (IMG/M) (I.-M. A. Chen, K. Chu, K. Palaniappan, A. Ratner, et al., Nucleic Acids Res, 49:D751-D763, 2021, https://doi.org/10.1093/nar/gkaa939) comparative analysis system and provided for download via the JGI data portal (https://genome.jgi.doe.gov/portal/). This workflow scales to run on thousands of metagenome samples per year, which can vary by the complexity of microbial communities and sequencing depth. Here, we describe the different tools, databases, and parameters used at different steps of the workflow to help with the interpretation of metagenome data available in IMG and to enable researchers to apply this workflow to their own data. We use 20 publicly available sediment metagenomes to illustrate the computing requirements for the different steps and highlight the typical results of data processing. The workflow modules for read filtering and metagenome assembly are available as a workflow description language (WDL) file (https://code.jgi.doe.gov/BFoster/jgi_meta_wdl). The workflow modules for annotation and binning are provided as a service to the user community at https://img.jgi.doe.gov/submit and require filling out the project and associated metadata descriptions in the Genomes OnLine Database (GOLD) (S. Mukherjee, D. Stamatis, J. Bertsch, G. Ovchinnikova, et al., Nucleic Acids Res, 49:D723-D733, 2021, https://doi.org/10.1093/nar/gkaa983).IMPORTANCE The DOE JGI Metagenome Workflow is designed for processing metagenomic data sets starting from Illumina fastq files. It performs data preprocessing, error correction, assembly, structural and functional annotation, and binning. The results of processing are provided in several standard formats, such as fasta and gff, and can be used for subsequent integration into the Integrated Microbial Genomes and Microbiomes (IMG/M) system where they can be compared to a comprehensive set of publicly available metagenomes. As of 30 July 2020, 7,155 JGI metagenomes have been processed by the DOE JGI Metagenome Workflow. Here, we present a metagenome workflow developed at the JGI that generates rich data in standard formats and has been optimized for downstream analyses ranging from assessment of the functional and taxonomic composition of microbial communities to genome-resolved metagenomics and the identification and characterization of novel taxa. This workflow is currently being used to analyze thousands of metagenomic data sets in a consistent and standardized manner.

Entities:  

Keywords:  IMG; JGI; SOP; annotation; assembly; binning; metagenomics

Year:  2021        PMID: 34006627     DOI: 10.1128/mSystems.00804-20

Source DB:  PubMed          Journal:  mSystems        ISSN: 2379-5077            Impact factor:   6.496


  17 in total

1.  Mechanistic insights into consumption of the food additive xanthan gum by the human gut microbiota.

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Journal:  Nat Microbiol       Date:  2022-04-01       Impact factor: 17.745

2.  Deep-branching acetogens in serpentinized subsurface fluids of Oman.

Authors:  Daniel R Colman; Emily A Kraus; Patrick H Thieringer; Kaitlin Rempfert; Alexis S Templeton; John R Spear; Eric S Boyd
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-10       Impact factor: 12.779

3.  Draft Metagenome Sequences of the Sphagnum (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe.

Authors:  Bryan T Piatkowski; Dana L Carper; Alyssa A Carrell; I-Min A Chen; Alicia Clum; Chris Daum; Emiley A Eloe-Fadrosh; Daniel Gilbert; Gustaf Granath; Marcel Huntemann; Sara S Jawdy; Ingeborg Jenneken Klarenberg; Joel E Kostka; Nikos C Kyrpides; Travis J Lawrence; Supratim Mukherjee; Mats B Nilsson; Krishnaveni Palaniappan; Dale A Pelletier; Christa Pennacchio; T B K Reddy; Simon Roux; A Jonathan Shaw; Denis Warshan; Tatjana Živković; David J Weston
Journal:  Microbiol Resour Announc       Date:  2022-09-07

4.  Diverse events have transferred genes for edible seaweed digestion from marine to human gut bacteria.

Authors:  Nicholas A Pudlo; Gabriel Vasconcelos Pereira; Jaagni Parnami; Melissa Cid; Stephanie Markert; Jeffrey P Tingley; Frank Unfried; Ahmed Ali; Neha J Varghese; Kwi S Kim; Austin Campbell; Karthik Urs; Yao Xiao; Ryan Adams; Duña Martin; David N Bolam; Dörte Becher; Emiley A Eloe-Fadrosh; Thomas M Schmidt; D Wade Abbott; Thomas Schweder; Jan Hendrik Hehemann; Eric C Martens
Journal:  Cell Host Microbe       Date:  2022-03-02       Impact factor: 31.316

5.  Computed structures of core eukaryotic protein complexes.

Authors:  Ian R Humphreys; Jimin Pei; Minkyung Baek; Aditya Krishnakumar; Qian Cong; David Baker; Ivan Anishchenko; Sergey Ovchinnikov; Jing Zhang; Travis J Ness; Sudeep Banjade; Saket R Bagde; Viktoriya G Stancheva; Xiao-Han Li; Kaixian Liu; Zhi Zheng; Daniel J Barrero; Upasana Roy; Jochen Kuper; Israel S Fernández; Barnabas Szakal; Dana Branzei; Josep Rizo; Caroline Kisker; Eric C Greene; Sue Biggins; Scott Keeney; Elizabeth A Miller; J Christopher Fromme; Tamara L Hendrickson
Journal:  Science       Date:  2021-12-10       Impact factor: 63.714

6.  Comparative Genomic Analysis of Pseudoxanthomonas sp. X-1, a Bromoxynil Octanoate-Degrading Bacterium, and Its Related Type Strains.

Authors:  Zhepu Ruan; Weimiao Cao; Jingzhi Zhu; Bingang Yang; Jiandong Jiang; Chen Chen; Xihui Xu
Journal:  Curr Microbiol       Date:  2022-01-20       Impact factor: 2.188

7.  Functional Insights of Salinity Stress-Related Pathways in Metagenome-Resolved Methanothrix Genomes.

Authors:  Maria Cristina Gagliano; Pranav Sampara; Caroline M Plugge; Hardy Temmink; Dainis Sudmalis; Ryan M Ziels
Journal:  Appl Environ Microbiol       Date:  2022-04-28       Impact factor: 5.005

8.  Metagenome-Assembled Genomes from a Microbiome Converting Xylose to Medium-Chain Carboxylic Acids.

Authors:  Matthew J Scarborough; Kevin S Myers; Nathaniel W Fortney; Abel T Ingle; Timothy J Donohue; Daniel R Noguera
Journal:  Microbiol Resour Announc       Date:  2022-03-28

Review 9.  Using metagenomic data to boost protein structure prediction and discovery.

Authors:  Qingzhen Hou; Fabrizio Pucci; Fengming Pan; Fuzhong Xue; Marianne Rooman; Qiang Feng
Journal:  Comput Struct Biotechnol J       Date:  2022-01-03       Impact factor: 7.271

10.  Ecological Dichotomies Arise in Microbial Communities Due to Mixing of Deep Hydrothermal Waters and Atmospheric Gas in a Circumneutral Hot Spring.

Authors:  Maria C Fernandes-Martins; Lisa M Keller; Mason Munro-Ehrlich; Kathryn R Zimlich; Madelyn K Mettler; Alexis M England; Rita Clare; Kevin Surya; Everett L Shock; Daniel R Colman; Eric S Boyd
Journal:  Appl Environ Microbiol       Date:  2021-09-29       Impact factor: 4.792

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