Characterization of the Bacterial Microbiome in Natural Populations of Barley Stem Gall Midge, <i>Mayetiola hordei</i>, in Morocco

<i>Mayetiola hordei</i> (Kieffer), known as barley stem gall midge, is one of the most destructive barley pests in many areas around the world, inflicting significant qualitative and quantitative damage to crop production. In this study, we investigate the presence of reproductive symbio...

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Bibliographic Details
Main Authors: Imane Remmal, Naima Bel Mokhtar, Amal Maurady, Mohammed Reda Britel, Karim El Fakhouri, Elias Asimakis, George Tsiamis, Panagiota Stathopoulou
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Microorganisms
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Online Access:https://www.mdpi.com/2076-2607/11/3/797
Description
Summary:<i>Mayetiola hordei</i> (Kieffer), known as barley stem gall midge, is one of the most destructive barley pests in many areas around the world, inflicting significant qualitative and quantitative damage to crop production. In this study, we investigate the presence of reproductive symbionts, the effect of geographical origin on the bacterial microbiome’s structure, and the diversity associated with natural populations of <i>M. hordei</i> located in four barley-producing areas in Morocco. <i>Wolbachia</i> infection was discovered in 9% of the natural populations using a precise 16S rDNA PCR assay. High-throughput sequencing of the V3-V4 region of the bacterial 16S rRNA gene indicated that the native environments of samples had a substantial environmental impact on the microbiota taxonomic assortment. Briefly, 5 phyla, 7 classes, and 42 genera were identified across all the samples. To our knowledge, this is the first report on the bacterial composition of <i>M. hordei</i> natural populations. The presence of <i>Wolbachia</i> infection may assist in the diagnosis of ideal natural populations, providing a new insight into the employment of <i>Wolbachia</i> in the control of barley midge populations, in the context of the sterile insect technique or other biological control methods.
ISSN:2076-2607