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      Dietary silymarin improves performance by altering hepatic lipid metabolism and cecal microbiota function and its metabolites in late laying hens

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          Abstract

          Background

          Liver lipid dysregulation is one of the major factors in the decline of production performance in late-stage laying hens. Silymarin (SIL), a natural flavonolignan extracted from milk thistle, is known for its hepatoprotective and lipid-lowering properties in humans. This study evaluates whether SIL can provide similar benefits to late-stage laying hens. A total of 480 68-week-old Lohmann Pink laying hens were randomly assigned into 5 groups, each group consisting of 6 replicates with 16 hens each. The birds received a basal diet either without silymarin (control) or supplemented with silymarin at concentrations of 250, 500, 750, or 1,000 mg/kg (SIL250, SIL500, SIL750, SIL1000) over a 12-week period.

          Results

          The CON group exhibited a significant decline in laying rates from weeks 9 to 12 compared to the initial 4 weeks ( P = 0.042), while SIL supplementation maintained consistent laying rates throughout the study ( P > 0.05). Notably, the SIL500 and SIL750 groups showed higher average egg weight than the CON group during weeks 5 to 8 ( P = 0.049). The SIL750 group had a significantly higher average daily feed intake across the study period ( P < 0.05), and the SIL500 group saw a marked decrease in the feed-to-egg ratio from weeks 5 to 8 ( P = 0.003). Furthermore, the SIL500 group demonstrated significant reductions in serum ALT and AST levels ( P < 0.05) and a significant decrease in serum triglycerides and total cholesterol at week 12 with increasing doses of SIL ( P < 0.05). SIL also positively influenced liver enzyme expression (FASN, ACC, Apo-VLDL II, FXR, and CYP7A1; P < 0.05) and altered the cecal microbiota composition, enhancing species linked to secondary bile acid synthesis. Targeted metabolomics identified 9 metabolites predominantly involved in thiamin metabolism that were significantly different in the SIL groups ( P < 0.05).

          Conclusions

          Our study demonstrated that dietary SIL supplementation could ameliorate egg production rate in late stage laying hens, mechanistically, this effect was via improving hepatic lipid metabolism and cecal microbiota function to achieve. Revealed the potentially of SIL as a feed supplementation to regulate hepatic lipid metabolism dysregulation. Overall, dietary 500 mg/kg SIL had the best effects.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40104-024-01057-w.

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          Most cited references61

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          fastp: an ultra-fast all-in-one FASTQ preprocessor

          Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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            Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

            We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
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              Improved metagenomic analysis with Kraken 2

              Although Kraken’s k-mer-based approach provides a fast taxonomic classification of metagenomic sequence data, its large memory requirements can be limiting for some applications. Kraken 2 improves upon Kraken 1 by reducing memory usage by 85%, allowing greater amounts of reference genomic data to be used, while maintaining high accuracy and increasing speed fivefold. Kraken 2 also introduces a translated search mode, providing increased sensitivity in viral metagenomics analysis.
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                Author and article information

                Contributors
                lirui181000@163.com
                hexi@hunau.edu.cn
                Journal
                J Anim Sci Biotechnol
                J Anim Sci Biotechnol
                Journal of Animal Science and Biotechnology
                BioMed Central (London )
                1674-9782
                2049-1891
                13 July 2024
                13 July 2024
                2024
                : 15
                : 100
                Affiliations
                [1 ]College of Animal Science and Technology, Hunan Agricultural University, ( https://ror.org/01dzed356) Changsha, Hunan 410128 China
                [2 ]Hunan Engineering Research Center of Poultry Production Safety, Changsha, Hunan 410128 China
                [3 ]Yuelushan Laboratory, Hunan Agricultural University, ( https://ror.org/01dzed356) Changsha, Hunan 410128 China
                [4 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Subtropical Agriculture, , Chinese Academy of Sciences, ; Changsha, Hunan 410125 China
                Article
                1057
                10.1186/s40104-024-01057-w
                11245868
                38997768
                7c34100a-ff93-4d27-aaad-85ed63901a56
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 February 2024
                : 28 May 2024
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2023YFD1301200
                Funded by: Hunan Poultry Industry Technology System
                Award ID: Hunan Poultry Industry Technology System
                Categories
                Research
                Custom metadata
                © Chinese Association of Animal Science and Veterinary Medicine 2024

                Animal science & Zoology
                bile acid metabolism,cecal microbiota,laying hen,lipid metabolism,lipoproteins,silymarin

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