中国农业科学 ›› 2025, Vol. 58 ›› Issue (6): 1223-1238.doi: 10.3864/j.issn.0578-1752.2025.06.013

• 畜牧·兽医 • 上一篇    下一篇

整合肠道菌群与小分子代谢物分析调控肉鸡饲料转化率的影响因素

巨晓军1(), 章明1, 刘一帆1, 姬改革1, 单艳菊1, 屠云洁1, 邹剑敏1, 张海涛2, 卞良永2, 束婧婷1()   

  1. 1 江苏省家禽科学研究所/江苏省家禽遗传育种重点实验室,江苏扬州 225125
    2 江苏立华股份有限公司,江苏常州 213168
  • 收稿日期:2024-12-28 接受日期:2025-01-24 出版日期:2025-03-25 发布日期:2025-03-25
  • 通信作者:
    束婧婷,E-mail:
  • 联系方式: 巨晓军,E-mail:283749740@qq.com。
  • 基金资助:
    江苏省自然科学基金项目(BK20230729); 科技创新2030—重大项目(2023ZD04064); 江苏省种业振兴揭榜挂帅项目(JBGS〔2021〕107); 现代农业产业技术体系专项(CARS-41)

Integration of Intestinal Flora and Small Molecule Metabolite to Analyze the Role of Factors Regulating Feed Conversion in Broiler Chickens

JU XiaoJun1(), ZHANG Ming1, LIU YiFan1, JI GaiGe1, SHAN YanJu1, TU YunJie1, ZOU JianMin1, ZHANG HaiTao2, BIAN LiangYong2, SHU JingTing1()   

  1. 1 Jiangsu Institute of Poultry Science/Jiangsu Key Laboratory of Poultry Genetic Breeding, Yangzhou 225125, Jiangsu
    2 Changzhou Lihua livestock Ltd, Changzhou 213168, Jiangsu
  • Received:2024-12-28 Accepted:2025-01-24 Published:2025-03-25 Online:2025-03-25

摘要:

【目的】 饲料转化效率(feed conversion rate,FCR)是畜禽生产中一个重要的经济性状指标,通过对肠道菌群与小分子代谢物的分析,探讨调控肉鸡FCR的影响因素。【方法】 选择健康状况良好、同批次0日龄麻黄鸡雏鸡,自由采食和饮水,在57日龄时选择500只发育正常体重相近((2 374.96±214.39)g)的公鸡转入测定舍,适应期3 d,60日龄正式测定,试验期18 d,根据自动喂料系统测定结果在上市日龄(78日龄)分别选取高饲料转化率(HF)和低饲料转化率(LF)各20只屠宰,分离肠道,测定肠道长度、形态,收取盲肠食糜,利用16S rRNA测序和全局精准非靶向代谢组学分析了肉鸡HF和LF盲肠微生物和小分子代谢物差异并进行关联分析。【结果】 (1)与LF组相比,HF组的日增重显著降低(P<0.05),FCR显著升高(P<0.05),空肠长度显著降低(P<0.05),直肠长度显著升高(P<0.05),空肠绒毛高度/隐窝深度比显著降低(P<0.05)。(2)与LF组相比,HF组的Chao1、Shannon、Observed_species、Faith_pd指数显著降低(P<0.05),HF与LF组β多样性差异显著(P<0.05)。LF组LDA值大于3的差异属有:布劳特氏菌属_A、巴恩斯氏菌、马西利亚斯特科尔氏菌属、乳头杆属、光冈菌属、副鼠杆菌、UBA738。HF组LDA值大于3的差异属有:脱硫弧菌属、拟普雷沃氏菌属、肠单胞菌属。(3)筛选到32个差异代谢物,其中去氨酪氨酸、β-胡萝卜素、6-磷酸甘露糖等差异倍数较大。在这些差异代谢物中脂肪酰基、苯及取代衍生物比较多。(4)与FCR值显著相关的微生物(P<0.05)有:乳杆菌属、布劳特氏菌属_A、副鼠杆菌。与FCR值显著相关的代谢物(P<0.05)有:苯乙胺、β-胡萝卜素、抗生素 JI-20A、反式-肉桂酸甲酯、黄嘌呤核苷、3-甲氧基邻氨基苯甲酸酯、邻苯二甲酸、烟酰胺、γ-L-谷氨酰-D-丙氨酸、5-硝基-2-(3-苯丙胺)苯甲酸、对羟基苯丙酸、1-棕榈酰甘油磷脂酰胆碱、磷酸胆碱。代谢物γ-L-谷氨酰-D-丙氨酸与微生物布劳特氏菌属_A呈显著正相关,代谢物磷酸胆碱与微生物肠单胞菌属呈显著正相关。【结论】 肉鸡FCR与肠道微生物及其代谢物相关,乳杆菌属、布劳特氏菌属A、巴恩斯氏菌、光冈菌属可能是影响饲料转化效率的重要微生物。去氨酪氨酸、β-胡萝卜素、黄嘌呤核苷、γ-L-谷氨酰-D-丙氨酸、磷酸胆碱是影响饲料转化效率的重要代谢物。肠道微生物可直接影响FCR,也可通过微生物代谢产物影响FCR,微生物-代谢物关联表明了影响FCR特定的作用途径。

关键词: 肉鸡, 饲料转化率, 16S rRNA, 肠道微生物, 代谢物, 相关性分析

Abstract:

【Objective】 Feed Conversion Rate (FCR) is an important economic trait index in livestock and poultry production. Through the analysis of intestinal flora and small molecular metabolites, the factors affecting the regulation of FCR in broilers were explored. 【Method】 Good health condition, the same batch of 0-day-old Jatropha curcas chicks were selected, free to feed and drink. At 57 days of age, 500 males with normal development and similar body weight ((2 374.96 ± 214.39) g) were selected and transferred to the assay house, with an acclimatization period of 3 days. The official assay was performed at 60 days of age, with an experimental period of 18 days, and 20 birds with high feed conversion rate (HF) and low feed conversion rate (LF) were selected for slaughtering at the marketable age (78 days of age), respectively, based on the results of the automated feeding system. Twenty birds with HF and LF were selected for slaughter at the market age (78 days old) according to the results of the automatic feeding system. Chicken intestines were isolated for determination of intestinal morphology, while cecal chow was harvested for joint analysis of microbial and small molecule metabolite differences between the HF and LF cecums of broiler chickens and correlation analyses using 16S rRNA sequencing and globally precise non-targeted metabolomics. 【Result】 (1) Compared with the LF group, the daily weight gain in HF group was significantly decreased (P<0.05), while the FCR was significantly increased (P<0.05), the jejunal length was significantly decreased (P<0.05), rectal length was significantly increased(P<0.05), and jejunal villus height/crypt depth ratio was significantly decreased(P<0.05). (2) Compared with the LF group, Chao1, Shannon, Observed_species, and Faith_pd indices were significantly decreased in the HF group (P<0.05). The difference in compositional structure between HF and LF was large (P<0.05). Genera with LDA values greater than 3 in the LF group were Blautia_A, Barnesiella, Massilistercora, Papillibacter, Mitsuokella, Paramuribaculum, and UBA738. The genera with LDA values greater than 3 in the HF group were Desulfovibrio_R, Alloprevotella, and Intestinimonas. (3) Thirty-two differential metabolites were screened, among which Docosahexaenoic acid, beta-carotene, and D-Mannose 6-phosphate were more multiplicative. Among these differential metabolites fatty acyl, benzene and substituted derivatives were more frequent. (4) The microorganisms that showed significant negative correlation with FCR values were Papillibacter, Blautia_A, and Paramuribaculum. The metabolites that showed a significant negative correlation with FCR values were Phenylethylamine, beta-Carotene, Antibiotic JI-20A, trans-Cinnamate, Xanthosine, 3-Methoxyanthranilate, Phthalic acid, Niacinamide, gamma-L-Glutamyl-D-alanine, 5-Nitro-2-(3-phenylpropylamino) benzoic acid, Desaminotyrosine, and 1-palmitoylglycerophosphocholine. The metabolites that showed significant positive correlation with FCR values were Phosphorylcholine. Gamma-L-Glutamyl-D-alanine was significantly positively correlated with Blautia_A, while Phosphorylcholine was significantly positively correlated with Intestinimonas. 【Conclusion】 The broiler feed conversion was associated with intestinal flora and metabolites, while Papillibacter, Blautia_A, Barnesella, and Mitsuokella might be marker microorganisms affecting feed efficiency. Desmethyltyrosine, β-carotene, Xanthosine, gamma-L-Glutamyl-D-alanine, and Phosphorylcholine might be marker metabolites affecting feed efficiency. Intestinal flora could influence FCR directly or through microbial metabolites, and microbe-metabolite associations suggested specific pathways of action that may influence feed conversion.

Key words: broiler, feed conversion, 16S rRNA, gut microbes, metabolites, correlation analysis