Relationship between bacterial phylotype and specialized metabolite production in the culturable microbiome of two freshwater sponges.
Journal
ISME communications
ISSN: 2730-6151
Titre abrégé: ISME Commun
Pays: England
ID NLM: 9918205372406676
Informations de publication
Date de publication:
10 Mar 2022
10 Mar 2022
Historique:
received:
30
08
2021
accepted:
10
02
2022
revised:
08
02
2022
medline:
10
3
2022
pubmed:
10
3
2022
entrez:
8
11
2023
Statut:
epublish
Résumé
Microbial drug discovery programs rely heavily on accessing bacterial diversity from the environment to acquire new specialized metabolite (SM) lead compounds for the therapeutic pipeline. Therefore, knowledge of how commonly culturable bacterial taxa are distributed in nature, in addition to the degree of variation of SM production within those taxa, is critical to informing these front-end discovery efforts and making the overall sample collection and bacterial library creation process more efficient. In the current study, we employed MALDI-TOF mass spectrometry and the bioinformatics pipeline IDBac to analyze diversity within phylotype groupings and SM profiles of hundreds of bacterial isolates from two Eunapius fragilis freshwater sponges, collected 1.5 km apart. We demonstrated that within two sponge samples of the same species, the culturable bacterial populations contained significant overlap in approximate genus-level phylotypes but mostly nonoverlapping populations of isolates when grouped lower than the level of genus. Further, correlations between bacterial phylotype and SM production varied at the species level and below, suggesting SM distribution within bacterial taxa must be analyzed on a case-by-case basis. Our results suggest that two E. fragilis freshwater sponges collected in similar environments can exhibit large culturable diversity on a species-level scale, thus researchers should scrutinize the isolates with analyses that take both phylogeny and SM production into account to optimize the chemical space entering into a downstream bacterial library.
Identifiants
pubmed: 37938725
doi: 10.1038/s43705-022-00105-8
pii: 10.1038/s43705-022-00105-8
pmc: PMC9723699
doi:
Types de publication
Journal Article
Langues
eng
Pagination
22Subventions
Organisme : NCCIH NIH HHS
ID : F31 AT010419
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM125943
Pays : United States
Informations de copyright
© 2022. The Author(s).
Références
Front Microbiol. 2020 Aug 13;11:1931
pubmed: 32903575
Nature. 2004 Dec 16;432(7019):824-8
pubmed: 15602547
Mar Drugs. 2019 Oct 11;17(10):
pubmed: 31614540
Mar Biotechnol (NY). 2005 May-Jun;7(3):142-62
pubmed: 15776313
Proc Natl Acad Sci U S A. 2014 Mar 25;111(12):E1130-9
pubmed: 24616526
Annu Rev Biochem. 2021 Jun 20;90:763-788
pubmed: 33848426
Microb Ecol. 2011 Nov;62(4):800-12
pubmed: 21728038
Appl Environ Microbiol. 2020 Aug 18;86(17):
pubmed: 32561583
Environ Res. 2017 Jan;152:7-16
pubmed: 27741451
Microorganisms. 2021 May 12;9(5):
pubmed: 34066089
J Vis Exp. 2019 May 15;(147):
pubmed: 31157770
Nat Protoc. 2009;4(5):732-42
pubmed: 19390529
AMB Express. 2016 Dec;6(1):40
pubmed: 27299740
Nat Biotechnol. 2012 Oct;30(10):918-20
pubmed: 23051804
Front Microbiol. 2018 Jun 19;9:1294
pubmed: 29971049
J Nat Prod. 2020 Mar 27;83(3):770-803
pubmed: 32162523
Front Microbiol. 2020 Jan 10;10:2954
pubmed: 31998259
PLoS One. 2019 Mar 28;14(3):e0213926
pubmed: 30921366
Syst Appl Microbiol. 2011 Feb;34(1):2-11
pubmed: 21288677
ISME J. 2018 Feb;12(2):320-329
pubmed: 28809850
BMC Genomics. 2018 Jun 1;19(1):426
pubmed: 29859036
J Bacteriol. 1991 Jan;173(2):697-703
pubmed: 1987160
mBio. 2016 Apr 21;7(2):e00135-16
pubmed: 27103626
Appl Microbiol Biotechnol. 2005 Jun;67(4):539-48
pubmed: 15614563
Euro Surveill. 2019 Jan;24(4):
pubmed: 30696525
Microb Ecol. 2013 Jan;65(1):232-44
pubmed: 22903086
FEMS Microbiol Rev. 2012 Mar;36(2):380-407
pubmed: 22092265
Anal Chem. 2001 Feb 15;73(4):746-50
pubmed: 11248887
Proc Natl Acad Sci U S A. 2018 May 8;115(19):4981-4986
pubmed: 29686101
J Microbiol Methods. 2011 Sep;86(3):327-36
pubmed: 21699925
Bioinformatics. 2012 Jul 15;28(14):1823-9
pubmed: 22556368
Appl Environ Microbiol. 2007 Feb;73(4):1146-52
pubmed: 17158611
Front Microbiol. 2019 Dec 03;10:2799
pubmed: 31849922
Front Microbiol. 2016 Aug 30;7:1359
pubmed: 27625644
Microb Ecol. 2005 Aug;50(2):206-12
pubmed: 16211324
mBio. 2021 Dec 21;12(6):e0270021
pubmed: 34809466
ACS Chem Biol. 2018 Aug 17;13(8):2074-2081
pubmed: 29932624
J Nat Prod. 2019 Aug 23;82(8):2167-2173
pubmed: 31335140
PeerJ. 2021 May 28;9:e11359
pubmed: 34123583
Mol Biol Evol. 2019 Nov 1;36(11):2462-2480
pubmed: 31236592
Chem Phys Lipids. 2003 Apr;123(2):117-55
pubmed: 12691847
Nature. 2021 Jul;595(7867):415-420
pubmed: 34262212
Mass Spectrom Rev. 2013 May-Jun;32(3):188-217
pubmed: 22996584
Appl Environ Microbiol. 2011 Mar;77(6):2130-40
pubmed: 21296954
Nat Prod Rep. 2021 Mar 4;38(2):292-300
pubmed: 32706349
J Ind Microbiol Biotechnol. 2019 Mar;46(3-4):257-271
pubmed: 30269177
Bioinformatics. 2012 Sep 1;28(17):2270-1
pubmed: 22796955
Front Microbiol. 2018 May 18;9:780
pubmed: 29867782
ACS Cent Sci. 2019 Nov 27;5(11):1824-1833
pubmed: 31807684
J Antibiot (Tokyo). 2009 Jan;62(1):5-16
pubmed: 19132062
Nat Prod Rep. 2009 Mar;26(3):338-62
pubmed: 19240945
Mar Drugs. 2014 Aug 19;12(8):4539-77
pubmed: 25196730
Nat Commun. 2018 Feb 23;9(1):803
pubmed: 29476047
PLoS One. 2014 Mar 11;9(3):e90517
pubmed: 24618773
J Nat Prod. 2021 Feb 26;84(2):204-219
pubmed: 33496580