Literature DB >> 32034321

Pan-genomics in the human genome era.

Rachel M Sherman1,2, Steven L Salzberg3,4,5,6.   

Abstract

Since the early days of the genome era, the scientific community has relied on a single 'reference' genome for each species, which is used as the basis for a wide range of genetic analyses, including studies of variation within and across species. As sequencing costs have dropped, thousands of new genomes have been sequenced, and scientists have come to realize that a single reference genome is inadequate for many purposes. By sampling a diverse set of individuals, one can begin to assemble a pan-genome: a collection of all the DNA sequences that occur in a species. Here we review efforts to create pan-genomes for a range of species, from bacteria to humans, and we further consider the computational methods that have been proposed in order to capture, interpret and compare pan-genome data. As scientists continue to survey and catalogue the genomic variation across human populations and begin to assemble a human pan-genome, these efforts will increase our power to connect variation to human diversity, disease and beyond.

Entities:  

Mesh:

Year:  2020        PMID: 32034321      PMCID: PMC7752153          DOI: 10.1038/s41576-020-0210-7

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  90 in total

Review 1.  The microbial pan-genome.

Authors:  Duccio Medini; Claudio Donati; Hervé Tettelin; Vega Masignani; Rino Rappuoli
Journal:  Curr Opin Genet Dev       Date:  2005-09-26       Impact factor: 5.578

Review 2.  Bacterial pathogenomics.

Authors:  Mark J Pallen; Brendan W Wren
Journal:  Nature       Date:  2007-10-18       Impact factor: 49.962

Review 3.  The genomics of Acinetobacter baumannii: insights into genome plasticity, antimicrobial resistance and pathogenicity.

Authors:  Francesco Imperi; Luísa C S Antunes; Jochen Blom; Laura Villa; Michele Iacono; Paolo Visca; Alessandra Carattoli
Journal:  IUBMB Life       Date:  2011-10-27       Impact factor: 3.885

4.  Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

Authors:  Hervé Tettelin; Vega Masignani; Michael J Cieslewicz; Claudio Donati; Duccio Medini; Naomi L Ward; Samuel V Angiuoli; Jonathan Crabtree; Amanda L Jones; A Scott Durkin; Robert T Deboy; Tanja M Davidsen; Marirosa Mora; Maria Scarselli; Immaculada Margarit y Ros; Jeremy D Peterson; Christopher R Hauser; Jaideep P Sundaram; William C Nelson; Ramana Madupu; Lauren M Brinkac; Robert J Dodson; Mary J Rosovitz; Steven A Sullivan; Sean C Daugherty; Daniel H Haft; Jeremy Selengut; Michelle L Gwinn; Liwei Zhou; Nikhat Zafar; Hoda Khouri; Diana Radune; George Dimitrov; Kisha Watkins; Kevin J B O'Connor; Shannon Smith; Teresa R Utterback; Owen White; Craig E Rubens; Guido Grandi; Lawrence C Madoff; Dennis L Kasper; John L Telford; Michael R Wessels; Rino Rappuoli; Claire M Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-19       Impact factor: 11.205

5.  Pangenomic study of Corynebacterium diphtheriae that provides insights into the genomic diversity of pathogenic isolates from cases of classical diphtheria, endocarditis, and pneumonia.

Authors:  Eva Trost; Jochen Blom; Siomar de Castro Soares; I-Hsiu Huang; Arwa Al-Dilaimi; Jasmin Schröder; Sebastian Jaenicke; Fernanda A Dorella; Flavia S Rocha; Anderson Miyoshi; Vasco Azevedo; Maria P Schneider; Artur Silva; Thereza C Camello; Priscila S Sabbadini; Cíntia S Santos; Louisy S Santos; Raphael Hirata; Ana L Mattos-Guaraldi; Androulla Efstratiou; Michael P Schmitt; Hung Ton-That; Andreas Tauch
Journal:  J Bacteriol       Date:  2012-04-13       Impact factor: 3.490

6.  Campylobacter fetus subspecies: comparative genomics and prediction of potential virulence targets.

Authors:  Amjad Ali; Siomar C Soares; Anderson R Santos; Luis C Guimarães; Eudes Barbosa; Sintia S Almeida; Vinícius A C Abreu; Adriana R Carneiro; Rommel T J Ramos; Syeda M Bakhtiar; Syed S Hassan; David W Ussery; Stephen On; Artur Silva; Maria P Schneider; Andrey P Lage; Anderson Miyoshi; Vasco Azevedo
Journal:  Gene       Date:  2012-08-06       Impact factor: 3.688

7.  The pangenome structure of Escherichia coli: comparative genomic analysis of E. coli commensal and pathogenic isolates.

Authors:  David A Rasko; M J Rosovitz; Garry S A Myers; Emmanuel F Mongodin; W Florian Fricke; Pawel Gajer; Jonathan Crabtree; Mohammed Sebaihia; Nicholas R Thomson; Roy Chaudhuri; Ian R Henderson; Vanessa Sperandio; Jacques Ravel
Journal:  J Bacteriol       Date:  2008-08-01       Impact factor: 3.490

8.  Pan-genome analysis of human gastric pathogen H. pylori: comparative genomics and pathogenomics approaches to identify regions associated with pathogenicity and prediction of potential core therapeutic targets.

Authors:  Amjad Ali; Anam Naz; Siomar C Soares; Marriam Bakhtiar; Sandeep Tiwari; Syed S Hassan; Fazal Hanan; Rommel Ramos; Ulisses Pereira; Debmalya Barh; Henrique César Pereira Figueiredo; David W Ussery; Anderson Miyoshi; Artur Silva; Vasco Azevedo
Journal:  Biomed Res Int       Date:  2015-01-29       Impact factor: 3.411

9.  Large-scale genomic sequencing of extraintestinal pathogenic Escherichia coli strains.

Authors:  Stephen J Salipante; David J Roach; Jacob O Kitzman; Matthew W Snyder; Bethany Stackhouse; Susan M Butler-Wu; Choli Lee; Brad T Cookson; Jay Shendure
Journal:  Genome Res       Date:  2014-11-04       Impact factor: 9.043

10.  The bacterial pangenome as a new tool for analysing pathogenic bacteria.

Authors:  L Rouli; V Merhej; P-E Fournier; D Raoult
Journal:  New Microbes New Infect       Date:  2015-06-26
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  53 in total

Review 1.  The role of artificial intelligence in the battle against antimicrobial-resistant bacteria.

Authors:  Hul Juan Lau; Chern Hong Lim; Su Chern Foo; Hock Siew Tan
Journal:  Curr Genet       Date:  2021-02-13       Impact factor: 3.886

2.  The Ramifications of the COVID-19 Pandemic for Future Public Health Capabilities.

Authors:  Areen Omary
Journal:  Am J Public Health       Date:  2020-11       Impact factor: 9.308

Review 3.  Pangenome Graphs.

Authors:  Jordan M Eizenga; Adam M Novak; Jonas A Sibbesen; Simon Heumos; Ali Ghaffaari; Glenn Hickey; Xian Chang; Josiah D Seaman; Robin Rounthwaite; Jana Ebler; Mikko Rautiainen; Shilpa Garg; Benedict Paten; Tobias Marschall; Jouni Sirén; Erik Garrison
Journal:  Annu Rev Genomics Hum Genet       Date:  2020-05-26       Impact factor: 8.929

Review 4.  Measuring and interpreting transposable element expression.

Authors:  Sophie Lanciano; Gael Cristofari
Journal:  Nat Rev Genet       Date:  2020-06-23       Impact factor: 53.242

Review 5.  Optimizing the Parametrization of Homologue Classification in the Pan-Genome Computation for a Bacterial Species: Case Study Streptococcus pyogenes.

Authors:  Erwin Tantoso; Birgit Eisenhaber; Frank Eisenhaber
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Emerging roles for endogenous retroviruses in immune epigenetic regulation.

Authors:  Carmen A Buttler; Edward B Chuong
Journal:  Immunol Rev       Date:  2021-11-23       Impact factor: 12.988

7.  Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies.

Authors:  Arang Rhie; Brian P Walenz; Sergey Koren; Adam M Phillippy
Journal:  Genome Biol       Date:  2020-09-14       Impact factor: 13.583

8.  A long reads-based de-novo assembly of the genome of the Arlee homozygous line reveals chromosomal rearrangements in rainbow trout.

Authors:  Guangtu Gao; Susana Magadan; Geoffrey C Waldbieser; Ramey C Youngblood; Paul A Wheeler; Brian E Scheffler; Gary H Thorgaard; Yniv Palti
Journal:  G3 (Bethesda)       Date:  2021-04-15       Impact factor: 3.154

Review 9.  Towards population-scale long-read sequencing.

Authors:  Wouter De Coster; Matthias H Weissensteiner; Fritz J Sedlazeck
Journal:  Nat Rev Genet       Date:  2021-05-28       Impact factor: 53.242

10.  Constructing small genome graphs via string compression.

Authors:  Yutong Qiu; Carl Kingsford
Journal:  Bioinformatics       Date:  2021-07-12       Impact factor: 6.937

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