Relationships between digestive efficiency and metabolomic profiles of serum and intestinal contents in chickens

Beauclercq, Stéphane; Nadal-Desbarats, Lydie; Hennequet-Antier, Christelle; Gabriel, Irène; Tesseraud, Sophie; Calenge, Fanny; Bihan-Duval, Élisabeth Le; Mignon-Grasteau, Sandrine

doi:10.1038/s41598-018-24978-9

Cited by 24 publications

(19 citation statements)

References 41 publications

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“…The LC-HRMS approach applied to lipidic fractions led to a PLS-DA model with similar explicative abilities R 2 Y (0.82 vs 0.77) and higher predictive abilities Q 2 (0.80 vs 0.48) than the previous PLS model fitted to metabolites from serum polar extracts identified by NMR to predict the quantitative value of AMEn (Beauclercq et al, 2018). This could be explained by a higher sensitivity of LC-HRMS (nM to pM) in comparison to NMR (μM to mM) (Goldansaz et al, 2017) or a lipophilic fraction more related to DE variations.…”

Section: Resultsmentioning

confidence: 99%

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Does lipidomic serum analysis support the assessment of digestive efficiency in chickens?

et al. 2019

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The increasing cost of conventional feedstuffs used in poultry diets has bolstered interest in genetic selection for digestive efficiency (DE) to improve the adaptation of the birds to various alternative feedstuffs. However, DE measurement through AMEn is time-consuming and constraining. To simplify selection for DE, the potential of serum composition to predict AMEn was evaluated based on 40 birds from two broiler lines (D+ and D−) divergently selected on the fecal AMEn of a difficult-to-digest wheat-based diet. Differences in serum coloration were suspected between the two lines, and thus a spectrophotometric analysis was carried out, revealing a significant difference in absorption between 430 nm and 516 nm, corresponding to the signature of orange–red lipophilic pigments such as xanthophylls. To go further, the liposoluble fraction of the serum was explored for its lipidome by mass spectrometry. Discriminant analysis revealed that a pattern of 10 metabolites, including zeaxanthin/lutein, can explain 82% of the lipidomic differences between the two lines. Colorimetry combined with lipidomics studies confirmed the relationship between digestive efficiency and serum composition, which opens up new possibilities for using it as a quick and easy proxy of digestive efficiency.

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Section: Resultsmentioning

confidence: 99%

“…In a prior study, we showed that the metabolomics profile of the hydrosoluble fraction of serum was linked to DE (Beauclercq et al, 2018). In this study, we observed that the color of serum seemed to differ between efficient and non-efficient birds, thus suggesting that pigments also differed between the two lines.…”

Section: Introductionmentioning

confidence: 99%

Does lipidomic serum analysis support the assessment of digestive efficiency in chickens?

et al. 2019

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“…Both the metabolites are involved in pyrimidine metabolism and are part of the cecal content of digestive segments involved with direct or indirect synthesis or utilization of compounds by the gut microbiota 36 . These metabolites were also reported to be affecting the digestive efficiency in chickens 37 . Previous studies have shown an increase in the concentration of xanthine by increased FI 38,39 .…”

Section: Discussionmentioning

confidence: 96%

Metabolomic networks and pathways associated with feed efficiency and related-traits in Duroc and Landrace pigs

Carmelo

Banerjee

Diniz

et al. 2020

Sci Rep

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Improving feed efficiency (FE) is a major goal of pig breeding, reducing production costs and providing sustainability to the pig industry. Reliable predictors for fe could assist pig producers. We carried out untargeted blood metabolite profiling in uncastrated males from Danbred Duroc (n = 59) and Danbred Landrace (n = 50) pigs at the beginning and end of a FE testing phase to identify biomarkers and biological processes underlying fe and related traits. By applying linear modeling and clustering analyses coupled with WGCNA framework, we identified 102 and 73 relevant metabolites in Duroc and Landrace based on two sampling time points. Among them, choline and pyridoxamine were hub metabolites in Duroc in early testing phase, while, acetoacetate, cholesterol sulfate, xanthine, and deoxyuridine were identified in the end of testing. In Landrace, cholesterol sulfate, thiamine, L-methionine, chenodeoxycholate were identified at early testing phase, while, D-glutamate, pyridoxamine, deoxycytidine, and L-2-aminoadipate were found at the end of testing. Validation of these results in larger populations could establish fe prediction using metabolomics biomarkers. We conclude that it is possible to identify a link between blood metabolite profiles and FE. These results could lead to improved nutrient utilization, reduced production costs, and increased fe.With the expanding human population and requirement for nutrient-rich food, there is an increasing demand for improvement of meat production, but simultaneously, to decrease the input costs in terms of feed 1 . Thus, feed efficiency (FE) is the most important trait in commercial pig farming 2 as increasing the amount of meat produced per feed is beneficial both economically and environmentally. Thereby, improving FE is beneficial for producers and increases the sustainability of pork meat production. Fortunately, FE is a highly heritable trait in Danish pigs (ranging from 0.34 in Duroc to 0.40 in Landrace), thus suitable for the genetic selection of pigs with high breeding values in breeding programs aimed at improving this economically important phenotype 3 .Since FE cannot be measured directly, feed conversion ratio (FCR) and residual feed intake (RFI) have been used to evaluate the animal efficiency 4 . FCR determines the ratio of feed intake (FI) to output and found to correlate with growth rate and body weight 3,5 . RFI calculates the difference between the actual and expected FI 6 predicted based on production traits such as average daily gain (ADG) 7 . ADG is also considered important in commercial pig production as pigs with higher ADG can achieve a target market weight within a shorter period than those with lower ADG, thereby saving feeding costs 8 . Thus, selection for RFI has proved to be effective in improving the FE in pigs 3,9,10 . Selection for FCR will results in co-selection for other traits, such as body composition and ADG. In contrast, RFI selects for increased metabolic efficiency without the same side effects [11][12][13] . RFI and FCR are well c...

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“…Wang et al indicated that plasma alanine and proline were potential biomarkers for feed efficiency in Duroc and Landrace pigs due to their important roles in the metabolism of alanine, arginine, and proline [51]. Other studies have demonstrated that serum concentrations of glycine, histidine, lysine, and serine were associated with diverging RFI of different broiler chicken lines which may be attributed to their contributions to protein biosynthesis and ammonia recycling [52,53]. Additionally, certain organic acids, such as 4-aminobutyric acid, 3phenylpropanoic acid, and phenylacetic acid are involved in many biological processes: modulating glucose and lipid metabolism, regulating energy homeostasis, and exerting antioxidant, anti-inflammatory, and neuroprotective actions [54][55][56].…”

Section: Discussionmentioning

confidence: 99%

Effect of host breeds on gut microbiome and serum metabolome in meat rabbits

Zhou

Zhang

et al. 2021

BMC Vet Res

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Background Gut microbial compositional and functional variation can affect health and production performance of farm animals. Analysing metabolites in biological samples provides information on the basic mechanisms that affect the well-being and production traits in farm animals. However, the extent to which host breeds affect the gut microbiome and serum metabolome in meat rabbits is still unknown. In this study, the differences in phylogenetic composition and functional capacities of gut microbiota in two commercial rabbit breeds Elco and Ira were determined by 16S rRNA gene and metagenomic sequencing. The alternations in serum metabolome in the two rabbit breeds were detected using ultra-performance liquid chromatography system coupled with quadrupole time of flight mass spectrometry (UPLC-QTOFMS). Results Sequencing results revealed that there were significant differences in the gut microbiota of the two breeds studied, suggesting that host breeds affect structure and diversity of gut microbiota. Numerous breed-associated microorganisms were identified at different taxonomic levels and most microbial taxa belonged to the families Lachnospiraceae and Ruminococcaceae. In particular, several short-chain fatty acids (SCFAs) producing species including Coprococcus comes, Ruminococcus faecis, Ruminococcus callidus, and Lachnospiraceae bacterium NK4A136 could be considered as biomarkers for improving the health and production performance in meat rabbits. Additionally, gut microbial functional capacities related to bacterial chemotaxis, ABC transporters, and metabolism of different carbohydrates, amino acids, and lipids varied greatly between rabbit breeds. Several fatty acids, amino acids, and organic acids in the serum were identified as breed-associated, where certain metabolites could be regarded as biomarkers correlated with the well-being and production traits of meat rabbits. Correlation analysis between breed-associated microbial species and serum metabolites revealed significant co-variations, indicating the existence of cross-talk among host-gut microbiome-serum metabolome. Conclusions Our study provides insight into how gut microbiome and serum metabolome of meat rabbits are affected by host breeds and uncovers potential biomarkers important for breed improvement of meat rabbits.

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Relationships between digestive efficiency and metabolomic profiles of serum and intestinal contents in chickens

Cited by 24 publications

References 41 publications

Does lipidomic serum analysis support the assessment of digestive efficiency in chickens?

Does lipidomic serum analysis support the assessment of digestive efficiency in chickens?

Metabolomic networks and pathways associated with feed efficiency and related-traits in Duroc and Landrace pigs

Effect of host breeds on gut microbiome and serum metabolome in meat rabbits

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