Literature DB >> 33500552

Mash-based analyses of Escherichia coli genomes reveal 14 distinct phylogroups.

Kaleb Abram1, Zulema Udaondo1, Carissa Bleker2,3, Visanu Wanchai1, Trudy M Wassenaar4, Michael S Robeson1, David W Ussery5.   

Abstract

In this study, more than one hundred thousand Escherichia coli and Shigella genomes were examined and classified. This is, to our knowledge, the largest E. coli genome dataset analyzed to date. A Mash-based analysis of a cleaned set of 10,667 E. coli genomes from GenBank revealed 14 distinct phylogroups. A representative genome or medoid identified for each phylogroup was used as a proxy to classify 95,525 unassembled genomes from the Sequence Read Archive (SRA). We find that most of the sequenced E. coli genomes belong to four phylogroups (A, C, B1 and E2(O157)). Authenticity of the 14 phylogroups is supported by several different lines of evidence: phylogroup-specific core genes, a phylogenetic tree constructed with 2613 single copy core genes, and differences in the rates of gene gain/loss/duplication. The methodology used in this work is able to reproduce known phylogroups, as well as to identify previously uncharacterized phylogroups in E. coli species.

Entities:  

Year:  2021        PMID: 33500552      PMCID: PMC7838162          DOI: 10.1038/s42003-020-01626-5

Source DB:  PubMed          Journal:  Commun Biol        ISSN: 2399-3642


  49 in total

Review 1.  Escherichia coli in disguise: molecular origins of Shigella.

Authors:  Ruiting Lan; Peter R Reeves
Journal:  Microbes Infect       Date:  2002-09       Impact factor: 2.700

2.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

3.  Phylogenetic diversity, antimicrobial susceptibility and virulence characteristics of phylogroup F Escherichia coli in Australia.

Authors:  Belinda Vangchhia; Sam Abraham; Jan M Bell; Peter Collignon; Justine S Gibson; Paul R Ingram; James R Johnson; Karina Kennedy; Darren J Trott; John D Turnidge; David M Gordon
Journal:  Microbiology       Date:  2016-09-22       Impact factor: 2.777

Review 4.  The population genetics of commensal Escherichia coli.

Authors:  Olivier Tenaillon; David Skurnik; Bertrand Picard; Erick Denamur
Journal:  Nat Rev Microbiol       Date:  2010-03       Impact factor: 60.633

5.  Impermanence of bacterial clones.

Authors:  Louis-Marie Bobay; Charles C Traverse; Howard Ochman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-21       Impact factor: 11.205

6.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

7.  BIGSdb: Scalable analysis of bacterial genome variation at the population level.

Authors:  Keith A Jolley; Martin C J Maiden
Journal:  BMC Bioinformatics       Date:  2010-12-10       Impact factor: 3.169

8.  Comparative genomics reveals structural and functional features specific to the genome of a foodborne Escherichia coli O157:H7.

Authors:  Vijay K Sharma; Suryatej Akavaram; Robert G Schaut; Darrell O Bayles
Journal:  BMC Genomics       Date:  2019-03-08       Impact factor: 3.969

9.  Stratified reconstruction of ancestral Escherichia coli diversification.

Authors:  José Maria Gonzalez-Alba; Fernando Baquero; Rafael Cantón; Juan Carlos Galán
Journal:  BMC Genomics       Date:  2019-12-05       Impact factor: 3.969

10.  Streamlining and large ancestral genomes in Archaea inferred with a phylogenetic birth-and-death model.

Authors:  Miklós Csurös; István Miklós
Journal:  Mol Biol Evol       Date:  2009-06-30       Impact factor: 16.240

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  15 in total

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2.  Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand.

Authors:  João Pires; Laura Huber; Rachel A Hickman; Simon Dellicour; Kamonwan Lunha; Thongpan Leangapichart; Jatesada Jiwakanon; Ulf Magnusson; Marianne Sunde; Josef D Järhult; Thomas P Van Boeckel
Journal:  BMC Microbiol       Date:  2022-10-20       Impact factor: 4.465

3.  Comparative Pathogenomics of Escherichia coli: Polyvalent Vaccine Target Identification through Virulome Analysis.

Authors:  J R Clark; A M Maresso
Journal:  Infect Immun       Date:  2021-07-15       Impact factor: 3.441

4.  Alterations in chromosomal genes nfsA, nfsB, and ribE are associated with nitrofurantoin resistance in Escherichia coli from the United Kingdom.

Authors:  Yu Wan; Ewurabena Mills; Rhoda C Y Leung; Ana Vieira; Xiangyun Zhi; Nicholas J Croucher; Neil Woodford; Elita Jauneikaite; Matthew J Ellington; Shiranee Sriskandan
Journal:  Microb Genom       Date:  2021-12

5.  RESCRIPt: Reproducible sequence taxonomy reference database management.

Authors:  Michael S Robeson; Devon R O'Rourke; Benjamin D Kaehler; Michal Ziemski; Matthew R Dillon; Jeffrey T Foster; Nicholas A Bokulich
Journal:  PLoS Comput Biol       Date:  2021-11-08       Impact factor: 4.475

6.  Prevalence, Antimicrobial Resistance, and Whole Genome Sequencing Analysis of Shiga Toxin-Producing Escherichia coli (STEC) and Enteropathogenic Escherichia coli (EPEC) from Imported Foods in China during 2015-2021.

Authors:  Jinling Shen; Shuai Zhi; Dehua Guo; Yuan Jiang; Xuebin Xu; Lina Zhao; Jingzhang Lv
Journal:  Toxins (Basel)       Date:  2022-01-19       Impact factor: 4.546

7.  Remarkable genomic diversity among Escherichia isolates recovered from healthy chickens.

Authors:  Nicholas M Thomson; Rachel Gilroy; Maria Getino; Ebenezer Foster-Nyarko; Arnoud H M van Vliet; Roberto M La Ragione; Mark J Pallen
Journal:  PeerJ       Date:  2022-03-01       Impact factor: 2.984

8.  A pan-genome method to determine core regions of the Bacillus subtilis and Escherichia coli genomes.

Authors:  Granger Sutton; Gary B Fogel; Bradley Abramson; Lauren Brinkac; Todd Michael; Enoch S Liu; Sterling Thomas
Journal:  F1000Res       Date:  2021-04-13

Review 9.  A Genomic Perspective Across Earth's Microbiomes Reveals That Genome Size in Archaea and Bacteria Is Linked to Ecosystem Type and Trophic Strategy.

Authors:  Alejandro Rodríguez-Gijón; Julia K Nuy; Maliheh Mehrshad; Moritz Buck; Frederik Schulz; Tanja Woyke; Sarahi L Garcia
Journal:  Front Microbiol       Date:  2022-01-05       Impact factor: 5.640

10.  Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes.

Authors:  Sam Benkwitz-Bedford; Martin Palm; Talip Yasir Demirtas; Ville Mustonen; Anne Farewell; Jonas Warringer; Leopold Parts; Danesh Moradigaravand
Journal:  mSystems       Date:  2021-08-24       Impact factor: 6.496

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