Analogous wheat root rhizosphere microbial successions in field and greenhouse trials in the presence of biocontrol agents
                    Paenibacillus peoriae
                    SP9 and
                    Streptomyces fulvissimus
                    FU14

Ricardo Araujo; Christopher Dunlap; Christopher M.M. Franco

doi:10.1111/mpp.12918

journal article Open Access Feb 14, 2020

Analogous wheat root rhizosphere microbial successions in field and greenhouse trials in the presence of biocontrol agents Paenibacillus peoriae SP9 and Streptomyces fulvissimus FU14

Ricardo Araujo

Christopher Dunlap Christopher M.M. Franco

Molecular Plant Pathology Vol. 21 No. 5 pp. 622-635 · Wiley

View at Publisher Save 10.1111/mpp.12918

Abstract

Abstract

Two
Pythium
‐infested soils were used to compare the wheat root and rhizosphere soil microbial communities from plants grown in the field or in greenhouse trials and their stability in the presence of biocontrol agents. Bacteria showed the highest diversity at early stages of wheat growth in both field and greenhouse trials, while fungal diversity increased later on, at 12 weeks of the crop cycle. The microbial communities were stable in roots and rhizosphere samples across both soil types used in this study. Such stability was also observed irrespective of the cultivation system (field or greenhouse) or addition of biocontrol coatings to wheat seeds to control
Pythium
disease (in this study soil infected with
Pythium
sp. clade F was tested). In greenhouse plant roots,
Archaeorhizomyces
,
Debaryomyces
,
Delftia
, and unclassified Pseudeurotiaceae were significantly reduced when compared to plant roots obtained from the field trials. Some operational taxonomic units (OTUs) represented genetic determinants clearly transmitted vertically by seed endophytes (specific OTUs were found in plant roots) and the plant microbiota was enriched over time by OTUs from the rhizosphere soil. This study provided key information regarding the microbial communities associated with wheat roots and rhizosphere soils at different stages of plant growth and the role that
Paenibacillus
and
Streptomyces
strains play as biocontrol agents in supporting plant growth in infested soils.

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References

79

[1]

10.1007/s10658-005-0233-0

[2]

10.3389/fpls.2019.01038

[3]

10.1007/978-3-319-66541-2_8

[4]

10.1111/j.1462-2920.2008.01809.x

[5]

10.1071/sr05113

[6]

10.1016/j.biocontrol.2017.07.003

[7]

Improved software detection and extraction of ITS1 and ITS 2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data

Johan Bengtsson‐Palme, Martin Ryberg, Martin Hartmann et al.

Methods in Ecology and Evolution 10.1111/2041-210x.12073

[8]

10.1155/2016/8062073

[9]

DADA2: High-resolution sample inference from Illumina amplicon data

Benjamin J Callahan, Paul J McMurdie, Michael J Rosen et al.

Nature Methods 10.1038/nmeth.3869

[10]

QIIME allows analysis of high-throughput community sequencing data

J Gregory Caporaso, Justin Kuczynski, Jesse Stombaugh et al.

Nature Methods 10.1038/nmeth.f.303

[11]

Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms

J Gregory Caporaso, Christian L Lauber, William A Walters et al.

The ISME Journal 10.1038/ismej.2012.8

[12]

Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample

J. Gregory Caporaso, Christian L. Lauber, William A. Walters et al.

Proceedings of the National Academy of Sciences 10.1073/pnas.1000080107

[13]

10.3389/fmicb.2017.00519

[14]

10.1016/j.crvi.2010.12.013

[15]

cytoHubba: identifying hub objects and sub-networks from complex interactome

Chia-Hao Chin, Shu-Hwa Chen, Hsin-Hung Wu et al.

BMC Systems Biology 10.1186/1752-0509-8-s4-s11

[16]

Ribosomal Database Project: data and tools for high throughput rRNA analysis

James R. Cole, Qiong Wang, Jordan A. Fish et al.

Nucleic Acids Research 10.1093/nar/gkt1244

[17]

10.1128/aem.70.11.6407-6413.2004

[18]

10.1094/mpmi-21-2-0208

[19]

10.1094/pdis.2002.86.7.780

[20]

10.1128/aem.69.9.5603-5608.2003

[21]

10.1016/j.biocontrol.2013.09.005

[22]

10.1016/j.cropro.2004.11.003

[23]

10.1186/1471-2105-13-113

[24]

10.1111/1462-2920.12452

[25]

Error filtering, pair assembly and error correction for next-generation sequencing reads

Robert C. Edgar, Henrik Flyvbjerg

Bioinformatics 10.1093/bioinformatics/btv401

[26]

Structure, variation, and assembly of the root-associated microbiomes of rice

Joseph Edwards, Cameron Johnson, Christian Santos-Medellín et al.

Proceedings of the National Academy of Sciences 10.1073/pnas.1414592112

[27]

10.1007/s10658-010-9689-7

[28]

10.1111/j.1365-2672.2008.03926.x

[29]

10.2135/cropsci2009.10.0564

[30]

10.1128/genomea.00556-17

[31]

10.1128/genomea.01342-16

[32]

10.1071/ap07067

[33]

ITS primers with enhanced specificity for basidiomycetes ‐ application to the identification of mycorrhizae and rusts

M. GARDES, T. D. BRUNS

Molecular Ecology 10.1111/j.1365-294x.1993.tb00005.x

[34]

10.3389/fmicb.2017.00902

[35]

10.1101/gr.112730.110

[36]

10.1016/j.ijfoodmicro.2016.01.018

[37]

10.1038/nbt.2387

[38]

10.1104/pp.114.245811

[39]

Ecologically meaningful transformations for ordination of species data

Pierre Legendre, Eugene D. Gallagher

Oecologia 10.1007/s004420100716

[40]

10.1007/s10340-011-0355-4

[41]

10.2134/jeq2009.0326

[42]

10.1016/j.biocontrol.2015.06.003

[43]

10.1016/j.biocontrol.2012.03.013

[44]

10.1007/s00248-014-0559-2

[45]

Deciphering the Rhizosphere Microbiome for Disease-Suppressive Bacteria

Rodrigo Mendes, Marco Kruijt, Irene de Bruijn et al.

Science 10.1126/science.1203980

[46]

The rhizosphere microbiome: significance of plant beneficial, plant pathogenic, and human pathogenic microorganisms

Rodrigo Mendes, Paolina Garbeva, Jos M. Raaijmakers

FEMS Microbiology Reviews 10.1111/1574-6976.12028

[47]

10.1371/journal.pone.0056018

[48]

10.3389/fmicb.2017.00011

[49]

10.1128/aem.59.3.695-700.1993

[50]

10.1016/j.funeco.2014.06.002

Showing 50 of 79 references

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Details

Published: Feb 14, 2020
Vol/Issue: 21(5)
Pages: 622-635
License: View

Authors

R

Ricardo Araujo

Department Medical Biotechnology Flinders University South Australia; i3S, Institute of Research and Innovation in Health University of Porto Portugal

C

Christopher Dunlap

Crop Bioprotection Research The United States Department of Agriculture Peoria IL USA

C

Christopher M.M. Franco

Department Medical Biotechnology Flinders University South Australia

Funding

Flinders University

Grains Research and Development Corporation Award: UF00008

Cite This Article

Ricardo Araujo, Christopher Dunlap, Christopher M.M. Franco (2020). Analogous wheat root rhizosphere microbial successions in field and greenhouse trials in the presence of biocontrol agents Paenibacillus peoriae SP9 and Streptomyces fulvissimus FU14. Molecular Plant Pathology, 21(5), 622-635. https://doi.org/10.1111/mpp.12918

Analogous wheat root rhizosphere microbial successions in field and greenhouse trials in the presence of biocontrol agents Paenibacillus peoriae SP9 and Streptomyces fulvissimus FU14

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