Ecology of aerobic anoxygenic phototrophs on a fine-scale taxonomic resolution in Adriatic Sea unravelled by unsupervised neural network.
Journal
Environmental microbiome
ISSN: 2524-6372
Titre abrégé: Environ Microbiome
Pays: England
ID NLM: 101768168
Informations de publication
Date de publication:
29 Apr 2024
29 Apr 2024
Historique:
received:
19
12
2023
accepted:
22
04
2024
medline:
30
4
2024
pubmed:
30
4
2024
entrez:
29
4
2024
Statut:
epublish
Résumé
Aerobic anoxygenic phototrophs are metabolically highly active, diverse and widespread polyphyletic members of bacterioplankton whose photoheterotrophic capabilities shifted the paradigm about simplicity of the microbial food chain. Despite their considerable contribution to the transformation of organic matter in marine environments, relatively little is still known about their community structure and ecology at fine-scale taxonomic resolution. Up to date, there is no comprehensive (i.e. qualitative and quantitative) analysis of their community composition in the Adriatic Sea. Analysis was based on pufM gene metabarcoding and quantitative FISH-IR approach with the use of artificial neural network. Significant seasonality was observed with regards to absolute abundances (maximum average abundances in spring 2.136 ± 0.081 × 10 This research represents the first comprehensive analysis of aerobic anoxygenic phototrophs in the Adriatic Sea on a trophic gradient during a year-round period. This study is also one of the first reports of their genus-level ecology linked to biotic and abiotic environmental factors revealed by unsupervised neural network algorithm, paving the way for further research of substantial contribution of this important bacterial functional group to marine ecosystems.
Sections du résumé
BACKGROUND
BACKGROUND
Aerobic anoxygenic phototrophs are metabolically highly active, diverse and widespread polyphyletic members of bacterioplankton whose photoheterotrophic capabilities shifted the paradigm about simplicity of the microbial food chain. Despite their considerable contribution to the transformation of organic matter in marine environments, relatively little is still known about their community structure and ecology at fine-scale taxonomic resolution. Up to date, there is no comprehensive (i.e. qualitative and quantitative) analysis of their community composition in the Adriatic Sea.
RESULTS
RESULTS
Analysis was based on pufM gene metabarcoding and quantitative FISH-IR approach with the use of artificial neural network. Significant seasonality was observed with regards to absolute abundances (maximum average abundances in spring 2.136 ± 0.081 × 10
CONCLUSION
CONCLUSIONS
This research represents the first comprehensive analysis of aerobic anoxygenic phototrophs in the Adriatic Sea on a trophic gradient during a year-round period. This study is also one of the first reports of their genus-level ecology linked to biotic and abiotic environmental factors revealed by unsupervised neural network algorithm, paving the way for further research of substantial contribution of this important bacterial functional group to marine ecosystems.
Identifiants
pubmed: 38685092
doi: 10.1186/s40793-024-00573-6
pii: 10.1186/s40793-024-00573-6
doi:
Types de publication
Journal Article
Langues
eng
Pagination
28Subventions
Organisme : Hrvatska Zaklada za Znanost
ID : UIP-2019-04-8401
Informations de copyright
© 2024. The Author(s).
Références
Environ Microbiol Rep. 2023 Feb;15(1):60-71
pubmed: 36507772
ISME J. 2017 Oct;11(10):2391-2393
pubmed: 28534877
Sci Rep. 2023 May 10;13(1):7617
pubmed: 37165047
Sci Rep. 2020 Nov 13;10(1):19773
pubmed: 33188261
Nat Rev Microbiol. 2008 May;6(5):339-48
pubmed: 18414500
Environ Microbiol Rep. 2009 Dec;1(6):545-54
pubmed: 23765933
mSystems. 2021 Oct 26;6(5):e0093421
pubmed: 34581594
Microbiol Sci. 1986 Dec;3(12):376-8
pubmed: 3153572
Science. 2001 Jun 29;292(5526):2492-5
pubmed: 11431568
Mol Biol Evol. 2009 Jul;26(7):1641-50
pubmed: 19377059
Environ Microbiol. 2008 Aug;10(8):1988-96
pubmed: 18430010
Syst Appl Microbiol. 2010 Apr;33(3):128-38
pubmed: 20227843
Nature. 2000 Sep 14;407(6801):177-9
pubmed: 11001053
Bioinformatics. 2020 May 1;36(10):3263-3265
pubmed: 32016344
Appl Environ Microbiol. 2006 Dec;72(12):7431-7
pubmed: 17028233
Microbiome. 2024 Mar 27;12(1):65
pubmed: 38539229
Environ Microbiol. 2011 Oct;13(10):2717-25
pubmed: 21883792
ISME J. 2017 Jun;11(6):1483-1499
pubmed: 28106881
ISME J. 2022 Apr;16(4):1046-1054
pubmed: 34802055
Microb Ecol. 2023 Oct;86(3):2161-2172
pubmed: 37148309
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Front Microbiol. 2021 Feb 16;12:637526
pubmed: 33664723
Mol Biol Evol. 2013 Apr;30(4):772-80
pubmed: 23329690
IEEE Trans Neural Netw. 1993;4(4):558-69
pubmed: 18267757
Microbiol Spectr. 2023 Sep 21;:e0111223
pubmed: 37732776
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
Microorganisms. 2022 Jan 12;10(1):
pubmed: 35056600
ISME J. 2014 Nov;8(11):2339-48
pubmed: 24824666
FEMS Microbiol Ecol. 2009 Feb;67(2):268-78
pubmed: 19016867
FEMS Microbiol Ecol. 2019 May 1;95(5):
pubmed: 31055603
Folia Microbiol (Praha). 2015 Jan;60(1):37-43
pubmed: 25090942
Nature. 2002 Feb 7;415(6872):630-3
pubmed: 11832943
Appl Environ Microbiol. 2007 Aug;73(16):5261-7
pubmed: 17586664
Appl Environ Microbiol. 2007 Jun;73(11):3528-35
pubmed: 17400772
Sci Total Environ. 2023 Feb 25;861:160593
pubmed: 36470385
Front Microbiol. 2017 Nov 15;8:2224
pubmed: 29187837
NAR Genom Bioinform. 2020 Oct 02;2(4):lqaa079
pubmed: 33575625
Microbes Environ. 2013;28(1):3-12
pubmed: 23124765
mSystems. 2021 Mar 16;6(2):
pubmed: 33727400
Appl Environ Microbiol. 2003 Jan;69(1):199-211
pubmed: 12513996
Appl Environ Microbiol. 2011 Nov;77(21):7451-8
pubmed: 21724878
Environ Microbiol. 2007 Jun;9(6):1464-75
pubmed: 17504484
Nat Rev Microbiol. 2005 Jul;3(7):537-46
pubmed: 15953930
FEMS Microbiol Rev. 2015 Nov;39(6):854-70
pubmed: 26139241
Mar Environ Res. 2017 Sep;130:134-141
pubmed: 28760621
ISME J. 2018 Oct;12(10):2470-2478
pubmed: 29925880
Environ Microbiol. 2014 Sep;16(9):2953-65
pubmed: 24131493
Biometrics. 2006 Mar;62(1):245-53
pubmed: 16542252
Ann Epidemiol. 2016 May;26(5):330-5
pubmed: 27255738
Front Microbiol. 2023 Apr 17;14:1151907
pubmed: 37138601
BMC Microbiol. 2013 May 24;13:118
pubmed: 23705883
Appl Environ Microbiol. 2005 Dec;71(12):8958-62
pubmed: 16332899
Appl Environ Microbiol. 2007 Jun;73(12):3936-44
pubmed: 17468276
ISME J. 2019 Aug;13(8):1975-1987
pubmed: 30914777
Front Microbiol. 2017 May 29;8:854
pubmed: 28611732
Microbiol Mol Biol Rev. 2014 Dec;78(4):573-87
pubmed: 25428935
Appl Environ Microbiol. 2017 Dec 15;84(1):
pubmed: 29030444
Sci Rep. 2021 May 27;11(1):11186
pubmed: 34045659
Microbiome. 2022 Dec 24;10(1):237
pubmed: 36566218
Syst Biol. 2019 Mar 1;68(2):365-369
pubmed: 30165689
Appl Environ Microbiol. 2002 Jun;68(6):3094-101
pubmed: 12039771