Literature DB >> 25483351

Ten years of pan-genome analyses.

George Vernikos1, Duccio Medini2, David R Riley3, Hervé Tettelin4.   

Abstract

Next generation sequencing technologies have engendered a genome sequence data deluge in public databases. Genome analyses have transitioned from single or few genomes to hundreds to thousands of genomes. Pan-genome analyses provide a framework for estimating the genomic diversity of the dataset at hand and predicting the number of additional whole genomes sequences that would be necessary to fully characterize that diversity. We review recent implementations of the pan-genome approach, its impact and limits, and we propose possible extensions, including analyses at the whole genome multiple sequence alignment level.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 25483351     DOI: 10.1016/j.mib.2014.11.016

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  153 in total

1.  Analysis of pan-genome to identify the core genes and essential genes of Brucella spp.

Authors:  Xiaowen Yang; Yajie Li; Juan Zang; Yexia Li; Pengfei Bie; Yanli Lu; Qingmin Wu
Journal:  Mol Genet Genomics       Date:  2016-01-02       Impact factor: 3.291

2.  The genomes of polyextremophilic cyanidiales contain 1% horizontally transferred genes with diverse adaptive functions.

Authors:  Alessandro W Rossoni; Dana C Price; Mark Seger; Dagmar Lyska; Peter Lammers; Debashish Bhattacharya; Andreas Pm Weber
Journal:  Elife       Date:  2019-05-31       Impact factor: 8.140

3.  High-Throughput Genotyping Technologies in Plant Taxonomy.

Authors:  Monica F Danilevicz; Cassandria G Tay Fernandez; Jacob I Marsh; Philipp E Bayer; David Edwards
Journal:  Methods Mol Biol       Date:  2021

4.  One size doesn't fit all: unraveling the diversity of factors and interactions that drive E. coli urovirulence.

Authors:  Henry L Schreiber; Caitlin N Spaulding; Karen W Dodson; Jonathan Livny; Scott J Hultgren
Journal:  Ann Transl Med       Date:  2017-01

5.  The design and construction of reference pangenome graphs with minigraph.

Authors:  Heng Li; Xiaowen Feng; Chong Chu
Journal:  Genome Biol       Date:  2020-10-16       Impact factor: 13.583

6.  Stress management strategies in single bacterial cells.

Authors:  Siv G E Andersson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-31       Impact factor: 11.205

7.  What Makes a Bacterial Species Pathogenic?:Comparative Genomic Analysis of the Genus Leptospira.

Authors:  Derrick E Fouts; Michael A Matthias; Haritha Adhikarla; Ben Adler; Luciane Amorim-Santos; Douglas E Berg; Dieter Bulach; Alejandro Buschiazzo; Yung-Fu Chang; Renee L Galloway; David A Haake; Daniel H Haft; Rudy Hartskeerl; Albert I Ko; Paul N Levett; James Matsunaga; Ariel E Mechaly; Jonathan M Monk; Ana L T Nascimento; Karen E Nelson; Bernhard Palsson; Sharon J Peacock; Mathieu Picardeau; Jessica N Ricaldi; Janjira Thaipandungpanit; Elsio A Wunder; X Frank Yang; Jun-Jie Zhang; Joseph M Vinetz
Journal:  PLoS Negl Trop Dis       Date:  2016-02-18

8.  Closed-reference metatranscriptomics enables in planta profiling of putative virulence activities in the grapevine trunk disease complex.

Authors:  Abraham Morales-Cruz; Gabrielle Allenbeck; Rosa Figueroa-Balderas; Vanessa E Ashworth; Daniel P Lawrence; Renaud Travadon; Rhonda J Smith; Kendra Baumgartner; Philippe E Rolshausen; Dario Cantu
Journal:  Mol Plant Pathol       Date:  2017-03-26       Impact factor: 5.663

Review 9.  A review of methods and databases for metagenomic classification and assembly.

Authors:  Florian P Breitwieser; Jennifer Lu; Steven L Salzberg
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

10.  Corrected Genome Annotations Reveal Gene Loss and Antibiotic Resistance as Drivers in the Fitness Evolution of Salmonella enterica Serovar Typhimurium.

Authors:  Sandip Paul; Evgeni V Sokurenko; Sujay Chattopadhyay
Journal:  J Bacteriol       Date:  2016-11-04       Impact factor: 3.490

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