Community structure and abundance of ACC deaminase containing bacteria in soils with 16S-PICRUSt2 inference or direct acdS gene sequencing.

1-aminocyclopropane-1-carboxylate deaminase 16S rRNA amplicon sequencing Phylogenetic inference Quantitative PCR

Journal

Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883

Informations de publication

Date de publication:
08 2023
Historique:
received: 02 12 2022
revised: 17 05 2023
accepted: 24 05 2023
medline: 8 8 2023
pubmed: 11 6 2023
entrez: 10 6 2023
Statut: ppublish

Résumé

Bacteria containing the enzyme 1-aminocyclopropane-1-carboxylate deaminase (ACCD+) can reduce plant ethylene levels and increase root development and elongation resulting in increased resiliency to drought and other plant stressors. Although these bacteria are ubiquitous in the soil, non-culture-based methods for their enumeration and identification are not well developed. In this study we compare two culture-independent approaches for identifying ACCD+ bacteria. First, quantitative PCR (qPCR) and direct acdS sequencing with newly designed gene-specific primers; and second, phylogenetic construction of 16S rRNA amplicon libraries with the PICRUSt2 tool. Using soils from eastern Colorado, we showed complementary yet differing results in ACCD+ abundance and community structure responding to water availability. Across all sites, gene abundances estimated from qPCR with the acdS gene-specific primers and phylogenetic reconstruction using PICRUSt2 were significantly correlated. However, PICRUSt2 identified members of the Acidobacteria, Proteobacteria, and Bacteroidetes phyla (now known as Acidobacteriota, Pseudomonadota, and Bacteroidota according to the International Code of Nomenclature of Prokaryotes) as ACCD+ bacteria, whereas the acdS primers amplified only members of the Proteobacteria phyla. Despite these differences, both measures showed that bacterial abundance of ACCD+ decreased as soil water content decreased along a potential evapotranspiration (PET) gradient at three sites in eastern Colorado. One major advantage of using 16S sequencing and PICRUSt2 in metagenomic studies is the ability to get a potential functional profile of all known KEGG (Kyoto Encyclopedia of Genes and Genomes) enzymes within the bacterial community of a single soil sample. The 16S-PICRUSt2 method paints a broader picture of the biological and biochemical function of the soil microbiome compared to direct acdS sequencing; however, phylogenetic analysis based on 16S gene relatedness may not reflect that of the functional gene of interest.

Identifiants

pubmed: 37301376
pii: S0167-7012(23)00074-X
doi: 10.1016/j.mimet.2023.106740
pii:
doi:

Substances chimiques

1-aminocyclopropane-1-carboxylate deaminase EC 3.5.99.7
RNA, Ribosomal, 16S 0
Carbon-Carbon Lyases EC 4.1.-
Water 059QF0KO0R

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

106740

Informations de copyright

Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare they have no conflict of interest.

Auteurs

Daniel K Manter (DK)

United States Department of Agriculture, Agricultural Research Service, Soil Management and Sugarbeet Research Unit, 2150 Centre Ave Bldg D, Fort Collins, CO 80526, USA. Electronic address: daniel.manter@usda.gov.

Alison K Hamm (AK)

United States Department of Agriculture, Agricultural Research Service, Soil Management and Sugarbeet Research Unit, 2150 Centre Ave Bldg D, Fort Collins, CO 80526, USA.

Heather L Deel (HL)

United States Department of Agriculture, Agricultural Research Service, Soil Management and Sugarbeet Research Unit, 2150 Centre Ave Bldg D, Fort Collins, CO 80526, USA.

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Classifications MeSH