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Record W7047692119

Gut health and microbiota in post-smolt Atlantic salmon (Salmo salar) fed larvae meal from black soldier fly (Hermetia illucens)

2019· article· en· W7047692119 on OpenAlexaboutno aff

Bibliographic record

VenueFlorence Research (University of Florence) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsFish mealGut floraSoybean mealCorn gluten mealDry matterMealLarvaDigestion (alchemy)Aquaculture
DOInot available

Abstract

fetched live from OpenAlex

Introduction \nIn salmon aquaculture, the limited availability of sustainable feed ingredients is a major obstacle. Insects, being part of the \nnatural diet of salmonids, may become a sustainable resource and expand the raw material repertoire. In the “AquaFly” \nproject, the potential of black soldier fly (Hermetia illucens) grown on low-quality organic matter as a source of sustainable \nfeed ingredients for Atlantic salmon (Salmo salar) was assessed in one freshwater and one seawater feeding trial. Herein, \nwe summarize data from the 16-week seawater feeding trial with salmon (initial body weight, 1.4kg) fed either a reference \ndiet (REF) with a combination of fish meal, soy protein concentrate, pea protein concentrate, corn gluten and wheat gluten \nas protein source, or a test diet (IM) wherein all the fish meal and most of the pea protein concentrate were replaced by \nblack soldier fly larvae meal \nMaterials and methods \nThe gut health of fish was evaluated using endpoints including organ and tissue indices, digestive enzyme activity, \nhistopathological parameters and gene expression. In total, 36 genes under different functional categories were profiled \nvia qPCR, including those indicative of lipid metabolism, immune responses, barrier functions and detoxification/stress \nresponses. Microbiota in the distal intestine, both gut contents and mucosa associated, was analyzed via 16S rRNA gene \nsequencing. \nResults \n1. Histology. Hypervacuolization of enterocytes, suggestive of lipid accumulation, was observed in the proximal and mid \nintestine in both diet groups. It was, however, less severe in the proximal intestine of fish fed the insect meal diet (p < 0.05). \nTypical signs of enteritis commonly observed in salmonid intestine fed soybean meal diets were present in all the intestinal \nsegments in both diet groups. A higher degree of submucosa cellularity was observed in the proximal intestine of fish fed \nthe insect meal diet (p < 0.05). \n2. Gene expression. Of the 36 genes profiled in the proximal and distal intestine, a few genes showed differential expressions. \nThe only genes showing differential expressions were mmp13 (matrix metalloproteinase 13) and chk (choline kinase), \nwhose expression level was significantly lower in the proximal and distal intestine, respectively, in fish fed the insect meal \ndiet (p < 0.05). \n3. Gut microbiota. Both diet and sample origin (gut contents vs mucosa) affected microbiota in the distal intestine. All the \nmeasured alpha-diversity indices, including observed OTUs, Shannon index, Pielou’s evenness and Faith’s phylogenetic \ndistance, showed higher values in samples exposed to insect meal diet or originated from gut contents (p < 0.05). For the \nbeta-diversity, samples formed 4 distinctive clusters in the PCoA plot separated by the diet and sample origin (Fig.1), \nconfirmed by permutational multivariate analysis of variance (PERMANOVA, p < 0.05). The diet showed a more profound \neffect on the samples originated from gut contents than those from mucosa. \nDiscussion and conclusion \nIn the present study, total replacement of fish meal with black soldier fly larvae meal showed no appreciable negative \neffects on the gut health and function of Atlantic salmon. In line with what we reported in the freshwater trial (Li et al., \n2019), insect meal inclusion was associated with a lower degree of enterocyte hypervacuolization in the proximal intestine, \nwhich is suggestive of lower lipid accumulation. In the context of frequent occurrence of steatosis found in the proximal \nintestine of farmed salmon in field surveys (Chikwati et al., 2018), the potential beneficial effect of insect meal inclusion \non reducing lipid deposition in the gut deserves further attention. In contrast to the previous finding in the freshwater trial \nthat insect meal diet increased the expression of foxp3 (Li et al., 2019), a transcription factor for the differentiation of naïve \nCD4 T-cells into regulatory T cells, no such effect was observed in the seawater trial. On the other hand, the present study \nshowed increased submucosa cellularity in the proximal intestine. The effect of insect meal inclusion on the gut immune \nresponse is also worth of attention in future studies. \nReference \nChikwati, E.M., Midtlyng, P.J., Krogdahl, Å., 2018. Gut health monitoring during the seawater phase of farmed Atlantic \nsalmon in different production regions of Norway – The Gutmatters Project, 8th International Symposium on Aquatic \nAnimal Health, Charlottetown, Prince Edward Island, Canada, pp. 400. \nLi, Y., Kortner, T.M., Chikwati, E.M., Munang’andu, H.M., Lock, E.-J., Krogdahl, Å., 2019. Gut health and vaccination \nresponse in pre-smolt Atlantic salmon (Salmo salar) fed black soldier fly (Hermetia illucens) larvae meal. Fish & \nShellfish Immunology, 86, 1106-1113.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.273
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2019
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