High throughput sequencing provides exact genomic locations of inducible prophages and accurate phage-to-host ratios in gut microbial strains.
Gut microbiota
High-throughput sequencing
Phage activity
Phage replication
Phage-to-host ratio
Prophage induction
Prophage localisation
Journal
Microbiome
ISSN: 2049-2618
Titre abrégé: Microbiome
Pays: England
ID NLM: 101615147
Informations de publication
Date de publication:
29 03 2021
29 03 2021
Historique:
received:
16
09
2020
accepted:
09
02
2021
entrez:
30
3
2021
pubmed:
31
3
2021
medline:
28
4
2021
Statut:
epublish
Résumé
Temperate phages influence the density, diversity and function of bacterial populations. Historically, they have been described as carriers of toxins. More recently, they have also been recognised as direct modulators of the gut microbiome, and indirectly of host health and disease. Despite recent advances in studying prophages using non-targeted sequencing approaches, methodological challenges in identifying inducible prophages in bacterial genomes and quantifying their activity have limited our understanding of prophage-host interactions. We present methods for using high-throughput sequencing data to locate inducible prophages, including those previously undiscovered, to quantify prophage activity and to investigate their replication. We first used the well-established Salmonella enterica serovar Typhimurium/p22 system to validate our methods for (i) quantifying phage-to-host ratios and (ii) accurately locating inducible prophages in the reference genome based on phage-to-host ratio differences and read alignment alterations between induced and non-induced prophages. Investigating prophages in bacterial strains from a murine gut model microbiota known as Oligo-MM This study demonstrates that the integration of experimental induction and bioinformatic analysis presented here is a powerful approach to accurately locate inducible prophages using high-throughput sequencing data and to quantify their activity. The ability to generate such quantitative information will be critical in helping us to gain better insights into the factors that determine phage activity and how prophage-bacteria interactions influence our microbiome and impact human health. Video abstract.
Sections du résumé
BACKGROUND
Temperate phages influence the density, diversity and function of bacterial populations. Historically, they have been described as carriers of toxins. More recently, they have also been recognised as direct modulators of the gut microbiome, and indirectly of host health and disease. Despite recent advances in studying prophages using non-targeted sequencing approaches, methodological challenges in identifying inducible prophages in bacterial genomes and quantifying their activity have limited our understanding of prophage-host interactions.
RESULTS
We present methods for using high-throughput sequencing data to locate inducible prophages, including those previously undiscovered, to quantify prophage activity and to investigate their replication. We first used the well-established Salmonella enterica serovar Typhimurium/p22 system to validate our methods for (i) quantifying phage-to-host ratios and (ii) accurately locating inducible prophages in the reference genome based on phage-to-host ratio differences and read alignment alterations between induced and non-induced prophages. Investigating prophages in bacterial strains from a murine gut model microbiota known as Oligo-MM
CONCLUSIONS
This study demonstrates that the integration of experimental induction and bioinformatic analysis presented here is a powerful approach to accurately locate inducible prophages using high-throughput sequencing data and to quantify their activity. The ability to generate such quantitative information will be critical in helping us to gain better insights into the factors that determine phage activity and how prophage-bacteria interactions influence our microbiome and impact human health. Video abstract.
Identifiants
pubmed: 33781335
doi: 10.1186/s40168-021-01033-w
pii: 10.1186/s40168-021-01033-w
pmc: PMC8008629
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Video-Audio Media
Langues
eng
Sous-ensembles de citation
IM
Pagination
77Références
Cold Spring Harb Symp Quant Biol. 1968;33:473-84
pubmed: 4891987
Biol Direct. 2006 Sep 19;1:29
pubmed: 16984643
Cell Host Microbe. 2019 Jun 12;25(6):803-814.e5
pubmed: 31175044
PLoS Genet. 2016 Feb 12;12(2):e1005861
pubmed: 26871586
J Biol Chem. 1982 Apr 25;257(8):4458-62
pubmed: 6461657
Mol Microbiol. 2001 Oct;42(1):159-66
pubmed: 11679075
J Comput Biol. 2012 May;19(5):455-77
pubmed: 22506599
Cell Host Microbe. 2019 Oct 9;26(4):527-541.e5
pubmed: 31600503
Nat Rev Microbiol. 2012 Sep;10(9):607-17
pubmed: 22864264
Antimicrob Agents Chemother. 2006 Jan;50(1):171-7
pubmed: 16377683
Cell. 2014 Mar 27;157(1):142-50
pubmed: 24679532
Mol Biol Evol. 2013 Apr;30(4):737-51
pubmed: 23243039
Cell Host Microbe. 2019 Feb 13;25(2):273-284.e6
pubmed: 30658906
Microbiol Rev. 1978 Jun;42(2):385-413
pubmed: 353481
Proc Natl Acad Sci U S A. 2012 Mar 6;109(10):3962-6
pubmed: 22355105
Infect Genet Evol. 2009 Sep;9(5):889-95
pubmed: 19501196
Bioinformatics. 2009 Jul 15;25(14):1754-60
pubmed: 19451168
Nature. 2001 Oct 25;413(6858):852-6
pubmed: 11677609
J Basic Microbiol. 1998;38(5-6):323-35
pubmed: 9871330
Cell Host Microbe. 2019 Feb 13;25(2):195-209
pubmed: 30763534
PLoS One. 2015 Mar 26;10(3):e0120759
pubmed: 25811873
ISME J. 2014 Jul;8(7):1391-402
pubmed: 24621522
Bacteriol Rev. 1953 Dec;17(4):269-337
pubmed: 13105613
Bioinformatics. 2014 Apr 1;30(7):923-30
pubmed: 24227677
Environ Microbiol. 2013 May;15(5):1428-40
pubmed: 22845467
Microbiome. 2020 Jun 10;8(1):90
pubmed: 32522236
PeerJ. 2015 May 28;3:e985
pubmed: 26038737
Nat Rev Microbiol. 2010 Aug;8(8):552-63
pubmed: 20601965
Nat Commun. 2019 Mar 4;10(1):1014
pubmed: 30833550
Genome Biol. 2014;15(12):550
pubmed: 25516281
Virology. 1961 Apr;13:493-9
pubmed: 13761490
Nat Methods. 2013 Dec;10(12):1196-9
pubmed: 24141494
J Bacteriol. 2005 Feb;187(4):1485-92
pubmed: 15687213
Methods Mol Biol. 2009;502:91-111
pubmed: 19082553
Nat Biotechnol. 2019 May;37(5):540-546
pubmed: 30936562
Nat Microbiol. 2016 Nov 21;2:16215
pubmed: 27869789
Nature. 1975 Jul 10;256(5513):97-103
pubmed: 1097937
BMC Biotechnol. 2007 Apr 12;7:19
pubmed: 17430586
Mol Microbiol. 1999 Jul;33(1):167-76
pubmed: 10411733
Proc Natl Acad Sci U S A. 2012 Oct 23;109(43):17621-6
pubmed: 23045666
ISME J. 2017 Jul;11(7):1511-1520
pubmed: 28291233
Nucleic Acids Res. 2016 Jul 8;44(W1):W16-21
pubmed: 27141966
Nucleic Acids Res. 2019 Jul 2;47(W1):W74-W80
pubmed: 31114893
Sci Rep. 2017 Aug 15;7(1):8292
pubmed: 28811656
Science. 2017 Mar 17;355(6330):1211-1215
pubmed: 28302859
FEMS Microbiol Lett. 2016 Apr;363(7):
pubmed: 26925588
mBio. 2017 Aug 8;8(4):
pubmed: 28790203
Cell. 2015 Jan 29;160(3):447-60
pubmed: 25619688
Nat Rev Microbiol. 2010 Mar;8(3):207-17
pubmed: 20157339
Mob DNA. 2017 Oct 3;8:12
pubmed: 29026445
Virol J. 2019 Feb 1;16(1):15
pubmed: 30709355
Proc Natl Acad Sci U S A. 2013 Dec 10;110(50):20236-41
pubmed: 24259713
PLoS Genet. 2011 Jun;7(6):e1002149
pubmed: 21731505
Nat Microbiol. 2018 Sep;3(9):1023-1031
pubmed: 30038310
Cell. 2016 Nov 17;167(5):1339-1353.e21
pubmed: 27863247
ISME J. 2013 Feb;7(2):233-6
pubmed: 23038175
FEMS Microbiol Lett. 1999 Jan 15;170(2):313-7
pubmed: 9933926
Proc Natl Acad Sci U S A. 1995 Dec 5;92(25):11736-40
pubmed: 8524839
Virology. 2015 May;479-480:310-30
pubmed: 25742714
J Biol Chem. 1985 Apr 10;260(7):4468-77
pubmed: 2984205
Nature. 2010 Jul 15;466(7304):334-8
pubmed: 20631792
J Bacteriol. 2015 Feb;197(3):410-9
pubmed: 25404701
Science. 2018 Oct 12;362(6411):207-212
pubmed: 30309949
J Bacteriol. 2003 Oct;185(20):6220-3
pubmed: 14526037
Genome Res. 2011 Oct;21(10):1616-25
pubmed: 21880779
PLoS One. 2014 Nov 19;9(11):e112963
pubmed: 25409509
PLoS One. 2019 Dec 12;14(12):e0223680
pubmed: 31830054
Genome Announc. 2016 Sep 15;4(5):
pubmed: 27634994
ISME J. 2016 May;10(5):1217-27
pubmed: 26473721