Evidence map›Paper›PMID 41039213›Full record

ArticleBMC microbiology2025

Metagenome-based identification of functional traits of the black soldier fly gut microbiome associated with larval performance.

F IJdema, L M Arias-Giraldo, E Vervoort, T Struyf, W Van den Ende, J M Raaijmakers, B Lievens, Jeroen De Smet

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

F IJdemaCLMT Research Group for Insect Production and Processing, Department of Microbial and Molecular Systems (M2S), KU Leuven, Geel Campus, Kleinhoefstraat 4, Geel, 2440, Belgium.
L M Arias-GiraldoDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO- KNAW), Droevendaalsesteeg 10, Wageningen, 6708 PB, The Netherlands.
E VervoortCSCE Research Group for Insect Production and Processing, Department of Microbial and Molecular Systems (M2S), KU Leuven, Geel Campus, Kleinhoefstraat 4, Geel, 2440, Belgium.
T StruyfLab of Molecular Plant Biology, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, Leuven, 3001, Belgium.
W Van den EndeLab of Molecular Plant Biology, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, Leuven, 3001, Belgium.
J M RaaijmakersDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO- KNAW), Droevendaalsesteeg 10, Wageningen, 6708 PB, The Netherlands.
B LievensCMPG Laboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M²S), KU Leuven, Willem De Croylaan 46, Leuven, 3001, Belgium.
Jeroen De SmetCLMT Research Group for Insect Production and Processing, Department of Microbial and Molecular Systems (M2S), KU Leuven, Geel Campus, Kleinhoefstraat 4, Geel, 2440, Belgium. jeroen.desmet@kuleuven.be.

Funding

ENTOBIOTA S008519NFonds Wetenschappelijk Onderzoek G0C4622NKU Leuven CHITINERY grant C3/22/041KU Leuven Impuls grant IMP20028
6 · The paper itself

Abstract

backgroundThe relationship between microbiomes and their hosts has been the subject of intensive study in recent years. For black soldier fly larvae (BSFL) (Hermetia illucens L., Diptera: Stratiomyidae), correlations between shifts in its microbial gut community composition and its health and performance suggest that the BSFL gut microbiome encodes important functions that complement the insect's own immune system and metabolism. To date, most BSFL microbiome studies have been based on 16S rRNA sequencing data. Because this approach derives a lot of information from very short sequencing reads, it was hypothesized that more insight into bacterial functionality could be generated using more extensive sequencing technologies. Here, whole genome shotgun (WGS) metagenomic sequencing was employed to investigate which microbiome-associated taxa and functions were associated with increased performance of larvae reared on a chicken feed (CF) or artificial supermarket food waste (SFW) based diet.

resultsTaxonomic and functional profiling of the BSFL gut microbiome revealed a significant shift in response to diet, where bacterial genes encoding specific metabolic functions, such as the metabolism of sorbitol, were significantly enriched in the microbiome of larvae reared on SFW-diet. This indicates that the nutritional composition of the substrate alters the gut bacterial composition by providing competitive benefits or new niches for specific bacteria that can utilise these compounds. Moreover, specific microbial functions, such as cobalamin synthesis, appear to be correlated with larval performance. Aside from metabolic functions, biosynthetic gene cluster analysis revealed potential antimicrobial competition and protective functions among bacterial species. Improved taxonomic resolution provided by WGS led to the identification of several metagenome assembled genomes (MAGs), including a potentially novel BSFL-associated Scrofimicrobium species. Furthermore, there were differences in larval performance between rearing diets, and larval growth was correlated with high abundance of several MAGs.

conclusionsVariation in the nutritional and bacterial load of a diet can result in functional shifts in the gut microbiome of the larvae. Analysis of the BSFL metagenome identified several bacteria that are positively correlated with larval performance, which could potentially provide beneficial metabolic functions for the host that should be further explored.

Indexed as

BacteriaDipteraGastrointestinal MicrobiomeMetagenomeAnimal FeedAnimalsChickensDietLarvaMetagenomicsPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SFood wasteHermetia illucensInsect gutMetagenomicsMicrobiome-derived functionsMicrobiota

Identifiers

PMID41039213
PMCPMC12492570

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.