Meta-analysis of larvae of the black soldier fly (Hermetia illucens) microbiota based on 16S rRNA gene amplicon sequencing. Issue 9 (17th August 2022)

• Record Type: Journal Article
• Authors: IJdema, Freek; De Smet, Jeroen; Crauwels, Sam; Lievens, Bart; Van Campenhout, Leen
• Is Part Of: FEMS microbiology ecology. Volume 98:Issue 9(2022)
• Publication Date: 2022-08-17
• Subjects: bacteria -- bio-informatics -- composition -- core -- edible insect -- gut; Microbial ecology -- Periodicals; Microbiology -- Periodicals; 579.17
• DOI: 10.1093/femsec/fiac094
• Languages: English
• ISSNs: 0168-6496

Abstract

Abstract: Black soldier fly larvae (BSFL) belong to the most widely reared insects as an alternative protein source at industrial scale. Bacteria in the larval gut can provide benefits for the animal, though some bacteria can also be pathogenic for the insect. Accurate characterization of the BSFL microbiota is important for the production of BSFL in terms of yield and microbiological safety. In this study, 16S ribosomal RNA gene sequence data sets from 11 studies were re-analysed to gain better insights in the BSFL gut microbiota, potential factors that influence their composition, and differences between the gut and the whole larvae microbiota. A core gut microbiota was found consisting of members of Enterococcus, Klebsiella, Morganella, Providencia, and Scrofimicrobium . Further, the factors 'Study', 'Age' and 'Feed' ( i.e . rearing substrate of the larvae) significantly affected the microbiota gut composition. When compared to whole larvae, a significantly lower diversity was found for gut samples, suggesting that the larvae harboured additional microbes on their cuticle or in the insect body. Universal choices in insect sample type, primer selection and bio-informatics analysis pipeline can strengthen future meta-analyses and improve our understanding of the BSFL gut microbiota towards the optimization of insect rearing conditions and substrates. Abstract : Through a meta-analysis of 16S rRNA gene sequencing data, this study identifies the core gut microbiota in BSFL and explores how experimental parameters and bio-informatic pipeline construction impact its composition.