Literature DB >> 34709619

Using Genome Scale Mutant Libraries to Identify Essential Genes.

Kevin S Myers1, Piyush Behari Lal1, Daniel R Noguera1,2, Timothy J Donohue3,4.   

Abstract

Identification of essential genes is key to understanding the required processes and gene products of organisms under one or more conditions. Transposon sequencing (Tn-seq) has been used to predict essential genes or ones that conditionally impact fitness in a wide variety of organisms. Here, we describe the generation of genome-scale mutant libraries and the analysis of Tn-seq data to identify essential genes from cultures grown in a single condition as well as those that are conditionally important by analyzing the behavior of these mutant libraries in different growth environments. While we illustrate the approach using data derived from Tn-seq analysis of the α-proteobacteria Rhodobacter sphaeroides and Zymomonas mobilis, the protocols and systems we describe should be generally applicable to a variety of organisms.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bacteria; Computational biology; Conditional fitness; Essential genes; Gene disruption; Genomics; Microbial lifestyles; Sequencing; Transposon

Mesh:

Substances:

Year:  2022        PMID: 34709619     DOI: 10.1007/978-1-0716-1720-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  49 in total

1.  From complete genome sequence to 'complete' understanding?

Authors:  Michael Y Galperin; Eugene V Koonin
Journal:  Trends Biotechnol       Date:  2010-08       Impact factor: 19.536

2.  Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis.

Authors:  Byoung-Mo Koo; George Kritikos; Jeremiah D Farelli; Horia Todor; Kenneth Tong; Harvey Kimsey; Ilan Wapinski; Marco Galardini; Angelo Cabal; Jason M Peters; Anna-Barbara Hachmann; David Z Rudner; Karen N Allen; Athanasios Typas; Carol A Gross
Journal:  Cell Syst       Date:  2017-02-08       Impact factor: 10.304

3.  A high-throughput screen for genes essential for PRRSV infection using a piggyBac-based system.

Authors:  Jianhui Bai; Kongpan Li; Wenda Tang; Zuoxiang Liang; Xifeng Wang; Wenhai Feng; Shujun Zhang; Liming Ren; Sen Wu; Haitang Han; Yaofeng Zhao
Journal:  Virology       Date:  2019-03-04       Impact factor: 3.616

4.  Update on the Keio collection of Escherichia coli single-gene deletion mutants.

Authors:  Natsuko Yamamoto; Kenji Nakahigashi; Tomoko Nakamichi; Mihoko Yoshino; Yuki Takai; Yae Touda; Akemi Furubayashi; Satoko Kinjyo; Hitomi Dose; Miki Hasegawa; Kirill A Datsenko; Toru Nakayashiki; Masaru Tomita; Barry L Wanner; Hirotada Mori
Journal:  Mol Syst Biol       Date:  2009-12-22       Impact factor: 11.429

Review 5.  High-throughput bacterial genome sequencing: an embarrassment of choice, a world of opportunity.

Authors:  Nicholas J Loman; Chrystala Constantinidou; Jacqueline Z M Chan; Mihail Halachev; Martin Sergeant; Charles W Penn; Esther R Robinson; Mark J Pallen
Journal:  Nat Rev Microbiol       Date:  2012-08-06       Impact factor: 60.633

6.  Genome-wide transposon screening and quantitative insertion site sequencing for cancer gene discovery in mice.

Authors:  Mathias J Friedrich; Lena Rad; Iraad F Bronner; Alexander Strong; Wei Wang; Julia Weber; Matthew Mayho; Hannes Ponstingl; Thomas Engleitner; Carolyn Grove; Anja Pfaus; Dieter Saur; Juan Cadiñanos; Michael A Quail; George S Vassiliou; Pentao Liu; Allan Bradley; Roland Rad
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

Review 7.  Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms.

Authors:  Tim van Opijnen; Andrew Camilli
Journal:  Nat Rev Microbiol       Date:  2013-05-28       Impact factor: 60.633

8.  Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection.

Authors:  Tomoya Baba; Takeshi Ara; Miki Hasegawa; Yuki Takai; Yoshiko Okumura; Miki Baba; Kirill A Datsenko; Masaru Tomita; Barry L Wanner; Hirotada Mori
Journal:  Mol Syst Biol       Date:  2006-02-21       Impact factor: 11.429

9.  Efficient generation of transgenic cattle using the DNA transposon and their analysis by next-generation sequencing.

Authors:  Soo-Young Yum; Song-Jeon Lee; Hyun-Min Kim; Woo-Jae Choi; Ji-Hyun Park; Won-Wu Lee; Hee-Soo Kim; Hyeong-Jong Kim; Seong-Hun Bae; Je-Hyeong Lee; Joo-Yeong Moon; Ji-Hyun Lee; Choong-Il Lee; Bong-Jun Son; Sang-Hoon Song; Su-Min Ji; Seong-Jin Kim; Goo Jang
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

10.  Genome-wide barcoded transposon screen for cancer drug sensitivity in haploid mouse embryonic stem cells.

Authors:  Stephen J Pettitt; Dragomir B Krastev; Helen N Pemberton; Yari Fontebasso; Jessica Frankum; Farah L Rehman; Rachel Brough; Feifei Song; Ilirjana Bajrami; Rumana Rafiq; Fredrik Wallberg; Iwanka Kozarewa; Kerry Fenwick; Javier Armisen-Garrido; Amanda Swain; Aditi Gulati; James Campbell; Alan Ashworth; Christopher J Lord
Journal:  Sci Data       Date:  2017-03-01       Impact factor: 6.444

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