2023
DOI: 10.1186/s40104-023-00831-6
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Effect of replacement of soybean oil by Hermetia illucens fat on performance, digestibility, cecal microbiome, liver transcriptome and liver and plasma lipidomes of broilers

Abstract: Background In contrast to protein-rich insect meal, the feed potential of insect fat is generally less explored and knowledge about the suitability of insect fat as a fat source specifically in broiler diets is still limited. In view of this, the present study aimed to comprehensively investigate the effect of partial (50%) and complete replacement of soybean oil with insect fat from Hermetia illucens (HI) larvae in broiler diets on performance, fat digestibility, cecal microbiome, liver transc… Show more

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Cited by 14 publications
(4 citation statements)
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“…Prior to estimating the energy density of HI larvae fat, most authors assumed that AME N corrected to zero nitrogen balance AME N of insect fat was similar to that of soybean, maize or coconut oils, and that the fat energy density was applied at a 1:1 ratio in poultry diets (Schiavone et al, 2017;Kim et al, 2020a;b). This suppositions were consistent with the results of Schäfer et al (2023), who calculated the AME N for broilers using the following equation: AME N = 2732.628 + 62.865 × fat inclusion (%). However, the aforementioned studies assumed uniform AME N levels for each feeding period; thus, the validity of the AME N regression model proposed by Kierończyk et al (2022) for HI larval fat in broiler nutrition was only partially evaluated.…”
Section: Introductionmentioning
confidence: 63%
“…Prior to estimating the energy density of HI larvae fat, most authors assumed that AME N corrected to zero nitrogen balance AME N of insect fat was similar to that of soybean, maize or coconut oils, and that the fat energy density was applied at a 1:1 ratio in poultry diets (Schiavone et al, 2017;Kim et al, 2020a;b). This suppositions were consistent with the results of Schäfer et al (2023), who calculated the AME N for broilers using the following equation: AME N = 2732.628 + 62.865 × fat inclusion (%). However, the aforementioned studies assumed uniform AME N levels for each feeding period; thus, the validity of the AME N regression model proposed by Kierończyk et al (2022) for HI larval fat in broiler nutrition was only partially evaluated.…”
Section: Introductionmentioning
confidence: 63%
“…Transcripts were classified as differentially expressed when the FC was > 1.3 or < -1.3 and the P -value was < 0.05. Similar cut-off values were used in recent studies for the selection of differentially expressed genes ( Gessner et al, 2019 ; Ringseis et al, 2019 ; Schäfer et al, 2023b ). In order to identify enriched Gene Ontology ( GO ) terms the differentially expressed transcripts were uploaded into the Database for Annotation, Visualization, and Integrated Discovery 6.8 bioinformatic resource to perform a gene set enrichment analysis ( GSEA ) ( Da Huang et al, 2009 ).…”
Section: Methodsmentioning
confidence: 99%
“…The differentially expressed transcripts were filtered based on a FC > 1.3 or < -1.3 and a P -value < 0.05 between groups PSA-5.0 vs. PSA-0 and groups PSA-2.5 vs. PSA-0. Identical or similar filter criteria were also applied in several recent studies ( Ringseis et al, 2019 ; Grundmann et al, 2023 ; Schäfer et al, 2023 ). Gene set enrichment analysis ( GSEA ) was performed with the identified differentially expressed transcripts in order to identify enriched Gene Ontology ( GO ) terms within GO category biological process ( BP ), molecular function ( MF ) and cellular component ( CC ) and Kyoto Encyclopedia of Genes and Genomes ( KEGG ) pathways using the Database for Annotation, Visualization and Integrated Discovery bioinformatic resource 6.8 ( Huang et al, 2009 ; Sherman et al, 2022 ).…”
Section: Methodsmentioning
confidence: 99%