Potential of Meta-Omics to Provide Modern Microbial Indicators for Monitoring Soil Quality and Securing Food Production.

biomonitoring food value chain meta-omics microbial indicators soil quality

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2022
Historique:
received: 04 03 2022
accepted: 06 06 2022
entrez: 18 7 2022
pubmed: 19 7 2022
medline: 19 7 2022
Statut: epublish

Résumé

Soils are fundamental resources for agricultural production and play an essential role in food security. They represent the keystone of the food value chain because they harbor a large fraction of biodiversity-the backbone of the regulation of ecosystem services and "soil health" maintenance. In the face of the numerous causes of soil degradation such as unsustainable soil management practices, pollution, waste disposal, or the increasing number of extreme weather events, it has become clear that (i) preserving the soil biodiversity is key to food security, and (ii) biodiversity-based solutions for environmental monitoring have to be developed. Within the soil biodiversity reservoir, microbial diversity including Archaea, Bacteria, Fungi and protists is essential for ecosystem functioning and resilience. Microbial communities are also sensitive to various environmental drivers and to management practices; as a result, they are ideal candidates for monitoring soil quality assessment. The emergence of meta-omics approaches based on recent advances in high-throughput sequencing and bioinformatics has remarkably improved our ability to characterize microbial diversity and its potential functions. This revolution has substantially filled the knowledge gap about soil microbial diversity regulation and ecology, but also provided new and robust indicators of agricultural soil quality. We reviewed how meta-omics approaches replaced traditional methods and allowed developing modern microbial indicators of the soil biological quality. Each meta-omics approach is described in its general principles, methodologies, specificities, strengths and drawbacks, and illustrated with concrete applications for soil monitoring. The development of metabarcoding approaches in the last 20 years has led to a collection of microbial indicators that are now operational and available for the farming sector. Our review shows that despite the recent huge advances, some meta-omics approaches (e.g., metatranscriptomics or meta-proteomics) still need developments to be operational for environmental bio-monitoring. As regards prospects, we outline the importance of building up repositories of soil quality indicators. These are essential for objective and robust diagnosis, to help actors and stakeholders improve soil management, with a view to or to contribute to combining the food and environmental quality of next-generation farming systems in the context of the agroecological transition.

Identifiants

pubmed: 35847063
doi: 10.3389/fmicb.2022.889788
pmc: PMC9280627
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

889788

Informations de copyright

Copyright © 2022 Djemiel, Dequiedt, Karimi, Cottin, Horrigue, Bailly, Boutaleb, Sadet-Bourgeteau, Maron, Chemidlin Prévost-Bouré, Ranjard and Terrat.

Déclaration de conflit d'intérêts

BK was employed by the company Novasol Experts. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Appl Environ Microbiol. 2018 Apr 2;84(8):
pubmed: 29427421
Curr Biol. 2019 Oct 7;29(19):R1036-R1044
pubmed: 31593662
Front Microbiol. 2018 Apr 13;9:707
pubmed: 29755421
3 Biotech. 2020 Feb;10(2):71
pubmed: 32030340
Environ Microbiol. 2011 Jun;13(6):1642-54
pubmed: 21507180
Int J Syst Evol Microbiol. 2004 Sep;54(Pt 5):1591-1599
pubmed: 15388715
FEMS Microbiol Ecol. 2014 Aug;89(2):316-30
pubmed: 24580036
BMC Microbiol. 2018 Nov 20;18(1):190
pubmed: 30458701
Biotechnol Biofuels. 2017 May 16;10:128
pubmed: 28523076
PLoS One. 2018 Sep 25;13(9):e0204629
pubmed: 30252901
PLoS One. 2014 Feb 07;9(2):e87624
pubmed: 24516555
Methods Mol Biol. 2019;1875:171-186
pubmed: 30362004
Appl Environ Microbiol. 2016 Dec 15;83(1):
pubmed: 27793827
PeerJ. 2016 Mar 28;4:e1869
pubmed: 27069806
Trends Microbiol. 2017 Mar;25(3):217-228
pubmed: 27916383
C R Biol. 2011 May;334(5-6):403-11
pubmed: 21640949
ISME J. 2007 May;1(1):67-77
pubmed: 18043615
Gigascience. 2022 Jan 12;11(1):
pubmed: 35022702
Appl Environ Microbiol. 2009 Dec;75(23):7537-41
pubmed: 19801464
Nat Commun. 2015 Oct 05;6:8444
pubmed: 26436640
PLoS One. 2017 Oct 23;12(10):e0186766
pubmed: 29059218
Front Microbiol. 2021 Jul 09;12:683410
pubmed: 34305845
Sci Data. 2019 Nov 25;6(1):279
pubmed: 31767866
New Phytol. 2021 Jun;230(6):2129-2147
pubmed: 33657660
Nat Rev Microbiol. 2015 Jul;13(7):439-46
pubmed: 26052662
Gigascience. 2018 Apr 1;7(4):
pubmed: 29617771
Appl Microbiol Biotechnol. 2019 Aug;103(16):6407-6421
pubmed: 31243501
Environ Int. 2019 Sep;130:104912
pubmed: 31220751
BMC Bioinformatics. 2020 Sep 17;21(Suppl 13):390
pubmed: 32938391
PLoS One. 2017 Dec 21;12(12):e0190178
pubmed: 29267397
FEMS Microbiol Ecol. 2021 Mar 10;97(3):
pubmed: 33444433
Environ Microbiol Rep. 2009 Apr;1(2):97-9
pubmed: 23765739
Appl Environ Microbiol. 2001 May;67(5):2354-9
pubmed: 11319122
BMC Bioinformatics. 2008 Sep 19;9:386
pubmed: 18803844
Glob Chang Biol. 2020 Aug;26(8):4506-4520
pubmed: 32324306
Environ Sci Technol. 2013 Sep 3;47(17):9841-9
pubmed: 23889170
Nat Rev Microbiol. 2017 Oct;15(10):579-590
pubmed: 28824177
Proc Natl Acad Sci U S A. 1990 Jun;87(12):4576-9
pubmed: 2112744
Sci Rep. 2020 Apr 3;10(1):5915
pubmed: 32246067
Sci Rep. 2021 Sep 13;11(1):18144
pubmed: 34518581
Nucleic Acids Res. 2019 Jan 8;47(D1):D259-D264
pubmed: 30371820
Microbiome. 2019 Nov 8;7(1):140
pubmed: 31699155
PLoS One. 2014 Dec 29;9(12):e116264
pubmed: 25545363
Front Microbiol. 2018 May 16;9:991
pubmed: 29867889
Nat Biotechnol. 2020 Jun;38(6):685-688
pubmed: 32483366
J Microbiol Methods. 2011 Sep;86(3):397-400
pubmed: 21723887
Microb Biotechnol. 2012 Jan;5(1):135-41
pubmed: 21989224
Sci Rep. 2019 Mar 7;9(1):3812
pubmed: 30846759
BMC Bioinformatics. 2020 Jun 22;21(1):257
pubmed: 32571209
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6
pubmed: 23193283
J Appl Genet. 2020 May;61(2):249-263
pubmed: 32062778
Annu Rev Food Sci Technol. 2022 Mar 25;13:361-384
pubmed: 34678075
Nat Rev Genet. 2016 May 17;17(6):333-51
pubmed: 27184599
PLoS One. 2016 Nov 18;11(11):e0165987
pubmed: 27861486
Mol Ecol Resour. 2019 Jan;19(1):47-76
pubmed: 30358140
Microbes Environ. 2012;27(2):111-21
pubmed: 22791042
Food Res Int. 2018 Apr;106:842-852
pubmed: 29579995
Elife. 2020 Jun 17;9:
pubmed: 32553109
Front Microbiol. 2020 Sep 04;11:1953
pubmed: 33013735
ISME J. 2016 Aug;10(8):2020-32
pubmed: 26859772
Nature. 2014 Nov 27;515(7528):505-11
pubmed: 25428498
Environ Int. 2020 Mar;136:105458
pubmed: 31926439
Front Microbiol. 2019 Aug 07;10:1820
pubmed: 31447820
Mol Ecol. 2018 Jan;27(2):313-338
pubmed: 29292539
Methods Mol Biol. 2015;1302:331-47
pubmed: 25981265
Genes (Basel). 2019 Jun 20;10(6):
pubmed: 31226847
Evol Bioinform Online. 2016 May 12;12(Suppl 1):5-16
pubmed: 27199545
Gigascience. 2016 Jan 28;5:4
pubmed: 26823973
Nat Commun. 2019 Mar 7;10(1):1107
pubmed: 30846683
Proc Natl Acad Sci U S A. 1977 Nov;74(11):5088-90
pubmed: 270744
Microb Biotechnol. 2015 Jan;8(1):131-42
pubmed: 25195809
J Microbiol Methods. 2010 Apr;81(1):48-55
pubmed: 20138194
Int J Food Microbiol. 2018 Dec 20;287:10-17
pubmed: 29157743
New Phytol. 2006;171(4):719-35
pubmed: 16918544
BMC Microbiol. 2019 Jul 29;19(1):171
pubmed: 31357928
Environ Sci Technol. 2015 Jan 20;49(2):1095-104
pubmed: 25514174
Ecol Evol. 2019 May 09;9(11):6678-6692
pubmed: 31236252
Crit Rev Food Sci Nutr. 2020;60(1):33-47
pubmed: 30285475
mBio. 2015 Mar 24;6(2):
pubmed: 25805735
Gigascience. 2016 May 18;5:21
pubmed: 27195106
Nat Rev Microbiol. 2019 Jan;17(2):95-109
pubmed: 30442909
Curr Opin Microbiol. 2018 Jun;43:162-168
pubmed: 29454931
ISME J. 2012 Feb;6(2):343-51
pubmed: 21900968
ISME J. 2013 Oct;7(10):1974-84
pubmed: 23765101
FEMS Microbiol Rev. 2018 May 1;42(3):293-323
pubmed: 29447350
PLoS One. 2019 Feb 8;14(2):e0212045
pubmed: 30735540
Plant Cell Environ. 2020 Apr;43(4):1023-1035
pubmed: 31884709
Environ Int. 2019 Nov;132:105078
pubmed: 31400601
BMC Bioinformatics. 2020 Oct 31;21(1):492
pubmed: 33129268
FEMS Microbiol Ecol. 2016 Nov;92(11):
pubmed: 27549116
Appl Environ Microbiol. 2018 Apr 16;84(9):
pubmed: 29453268
Front Microbiol. 2021 Jun 23;12:689855
pubmed: 34248914
Nat Rev Earth Environ. 2020 Oct;1(10):544-553
pubmed: 33015639
Bioinformatics. 2016 Aug 15;32(16):2520-3
pubmed: 27153620
Appl Environ Microbiol. 2009 May;75(10):3206-15
pubmed: 19270130
Sci Data. 2021 May 21;8(1):136
pubmed: 34021166
Trends Plant Sci. 2018 Dec;23(12):1057-1067
pubmed: 30287162
Appl Environ Microbiol. 2021 Aug 11;87(17):e0062621
pubmed: 34132589
Philos Trans R Soc Lond B Biol Sci. 2021 Sep 27;376(1834):20200181
pubmed: 34365816
Sci Data. 2019 Feb 05;6:190007
pubmed: 30720800
Commun Biol. 2021 Nov 18;4(1):1302
pubmed: 34795375
J Am Vet Med Assoc. 2009 Jan 1;234(1):47-56
pubmed: 19119966
Bioinformatics. 2018 Apr 15;34(8):1287-1294
pubmed: 29228191
New Phytol. 2018 Feb;217(3):1370-1385
pubmed: 28906012
Mol Ecol Resour. 2018 May 26;:
pubmed: 29802793
ISME J. 2017 Mar;11(3):817-820
pubmed: 27911440
Genes (Basel). 2019 Oct 29;10(11):
pubmed: 31671909
Mol Genet Genomics. 2003 Aug;269(5):706-14
pubmed: 12884008
Int J Food Microbiol. 2018 May 19;281:10-22
pubmed: 29803134
Appl Environ Microbiol. 2016 Apr 04;82(8):2433-2443
pubmed: 26873315
Nat Rev Microbiol. 2018 Sep;16(9):567-576
pubmed: 29789680
J Agric Food Chem. 2016 Jan 13;64(1):36-44
pubmed: 26468989
New Phytol. 2020 Nov;228(3):
pubmed: 32531109
ISME J. 2019 Jul;13(7):1722-1736
pubmed: 30850707
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288
BMC Genomics. 2016 Aug 23;17:671
pubmed: 27552843
Commun Biol. 2021 Jul 20;4(1):889
pubmed: 34285323

Auteurs

Christophe Djemiel (C)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Samuel Dequiedt (S)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Battle Karimi (B)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.
Novasol Experts, Dijon, France.

Aurélien Cottin (A)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Walid Horrigue (W)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Arthur Bailly (A)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Ali Boutaleb (A)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Sophie Sadet-Bourgeteau (S)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Pierre-Alain Maron (PA)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Nicolas Chemidlin Prévost-Bouré (N)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Lionel Ranjard (L)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Sébastien Terrat (S)

Agroécologie, INRAE, Institut Agro, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.

Classifications MeSH