Elsevier

Microbiological Research

Volume 211, June 2018, Pages 13-20
Microbiological Research

Subterranean infestation by Holotrichia parallela larvae is associated with changes in the peanut (Arachis hypogaea L.) rhizosphere microbiome

https://doi.org/10.1016/j.micres.2018.02.008Get rights and content
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Abstract

Rhizosphere microorganisms contribute to the health and development of crops and these beneficial microbes are recruited to the root-zone when plants experience biotic/abiotic stress. The subterranean pests Holotrichia parallela cause severe crop loss in peanut (Arachis hypogaea L.) fields. Hypothesizing that infestation by H. parallela larva may influence the composition of rhizosphere microbial communities, deep sequencing of V3 and V4 hypervariable regions of 16S rRNA gene was used to characterize the rhizosphere bacteria of infested and uninfested peanuts. A total of 2,673,656 reads were generated and an average of 2558 OTUs were obtained for each sample. Comparisons of rhizosphere bacterial community structure of peanuts with those infested by H. parallela larva revealed that the relative abundance of Proteobacteria and Bacteroidetes increased, while that of Actinobacteria decreased in the rhizosphere with infestation. A significant shift in bacterial communities was observed within 24 h after infestation by principal coordinate analysis. For the 332 genera identified in 24 h treatment, infestation of white grubs led to the significant changes of abundance of 67 genera. An increase in the Pseudomonas genus of infested-samples for 24 h was verified by real-time qPCR. Our results indicate H. parallela larvae infestation can quickly leads to the change of peanut rhizosphere microbiome and enrichment of specific bacterial species. But the effects were not persistent. This study provides the insight into the function of rhizosphere microbiome in the interaction between subterranean pests and crops.

Keywords

Subterranean pest infestation
Rhizosphere bacterial community
Peanuts
16S rRNA gene
Illumina MiSeq sequencing

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