» Articles » PMID: 29780371

Comparative Metatranscriptomics of Wheat Rhizosphere Microbiomes in Disease Suppressive and Non-suppressive Soils for AG8

Overview
Journal Front Microbiol
Specialty Microbiology
Date 2018 May 22
PMID 29780371
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

The soilborne fungus anastomosis group (AG) 8 is a major pathogen of grain crops resulting in substantial production losses. In the absence of resistant cultivars of wheat or barley, a sustainable and enduring method for disease control may lie in the enhancement of biological disease suppression. Evidence of effective biological control of AG8 through disease suppression has been well documented at our study site in Avon, South Australia. A comparative metatranscriptomic approach was applied to assess the taxonomic and functional characteristics of the rhizosphere microbiome of wheat plants grown in adjacent fields which are suppressive and non-suppressive to the plant pathogen AG8. Analysis of 12 rhizosphere metatranscriptomes (six per field) was undertaken using two bioinformatic approaches involving unassembled and assembled reads. Differential expression analysis showed the dominant taxa in the rhizosphere based on mRNA annotation were spp. and spp. for non-suppressive samples and spp. and spp. for the suppressive samples. The assembled metatranscriptome analysis identified more differentially expressed genes than the unassembled analysis in the comparison of suppressive and non-suppressive samples. Suppressive samples showed greater expression of a polyketide cyclase, a terpenoid biosynthesis backbone gene () and many cold shock proteins (). Non-suppressive samples were characterised by greater expression of antibiotic genes such as non-heme chloroperoxidase () which is involved in pyrrolnitrin synthesis, and phenazine biosynthesis family protein F ( and its transcriptional activator protein (). A large number of genes involved in detoxifying reactive oxygen species (ROS) and superoxide radicals () were also expressed in the non-suppressive rhizosphere samples most likely in response to the infection of wheat roots by AG8. Together these results provide new insight into microbial gene expression in the rhizosphere of wheat in soils suppressive and non-suppressive to AG8. The approach taken and the genes involved in these functions provide direction for future studies to determine more precisely the molecular interplay of plant-microbe-pathogen interactions with the ultimate goal of the development of management options that promote beneficial rhizosphere microflora to reduce AG8 infection of crops.

Citing Articles

Surface colonization by promotes its survival in a model microbial community.

Magesh S, Hurley A, Nepper J, Chevrette M, Schrope J, Li C mBio. 2024; 15(3):e0342823.

PMID: 38329367 PMC: 10936215. DOI: 10.1128/mbio.03428-23.


Genome-resolved metatranscriptomics reveals conserved root colonization determinants in a synthetic microbiota.

Vannier N, Mesny F, Getzke F, Chesneau G, Dethier L, Ordon J Nat Commun. 2023; 14(1):8274.

PMID: 38092730 PMC: 10719396. DOI: 10.1038/s41467-023-43688-z.


Abundance, classification and genetic potential of Thaumarchaeota in metagenomes of European agricultural soils: a meta-analysis.

Nelkner J, Huang L, Lin T, Schulz A, Osterholz B, Henke C Environ Microbiome. 2023; 18(1):26.

PMID: 36998097 PMC: 10064710. DOI: 10.1186/s40793-023-00479-9.


Do small RNAs unlock the below ground microbiome-plant interaction mystery?.

Regmi R, Penton C, Anderson J, Gupta V Front Mol Biosci. 2022; 9:1017392.

PMID: 36406267 PMC: 9670543. DOI: 10.3389/fmolb.2022.1017392.


Synthetic microbial consortia derived from rhizosphere soil protect wheat against a soilborne fungal pathogen.

Yin C, Hagerty C, Paulitz T Front Microbiol. 2022; 13:908981.

PMID: 36118206 PMC: 9473337. DOI: 10.3389/fmicb.2022.908981.


References
1.
Garoutte A, Cardenas E, Tiedje J, Howe A . Methodologies for probing the metatranscriptome of grassland soil. J Microbiol Methods. 2016; 131:122-129. DOI: 10.1016/j.mimet.2016.10.018. View

2.
Pearson G, Lago-Leston A, Canovas F, Cox C, Verret F, Lasternas S . Metatranscriptomes reveal functional variation in diatom communities from the Antarctic Peninsula. ISME J. 2015; 9(10):2275-89. PMC: 4579479. DOI: 10.1038/ismej.2015.40. View

3.
Romero D, Traxler M, Lopez D, Kolter R . Antibiotics as signal molecules. Chem Rev. 2011; 111(9):5492-505. PMC: 3173521. DOI: 10.1021/cr2000509. View

4.
Garbeva P, Hordijk C, Gerards S, de Boer W . Volatile-mediated interactions between phylogenetically different soil bacteria. Front Microbiol. 2014; 5:289. PMC: 4052926. DOI: 10.3389/fmicb.2014.00289. View

5.
Gardener B, Weller D . Changes in populations of rhizosphere bacteria associated with take-all disease of wheat. Appl Environ Microbiol. 2001; 67(10):4414-25. PMC: 93184. DOI: 10.1128/AEM.67.10.4414-4425.2001. View