Wu Junfeng, Yan Yiyuan, Chen Jiahua, Li Junying, Li Guangqi, Wu Guiqin, Wang Bin, Zheng Gang, Yang Yuqin, Du Yushuang, Lian Ling
State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, China.
Beijing Engineering Research Center of Layer, Beijing, China.
Front Nutr. 2025 Mar 25;12:1561194. doi: 10.3389/fnut.2025.1561194. eCollection 2025.
The blood and meat spots in eggs are recognized as defects for egg quality. The frequency of blood and meat spots in brown-shell eggs is much higher than that in white-shell eggs in previous studies. However, the actual occurrence frequency and their effects on the microbial composition in eggs remain poorly understood.
In this study, we examined the frequency of blood and meat spots in brown-shell and white-shell eggs, respectively, from Rhode Island Red and White Leghorn chickens at seven ages.
The results showed that blood and meat spots in brown-shell eggs exhibit much higher average frequency (63.99%) than that in white-shell eggs (1.37%). Furthermore, we analyzed the relationship between the presence of blood and meat spots and the microbial community distribution in the egg albumen and yolk. Briefly, we selected brown-shell eggs ( = 112) from Rhode Island Red, among which 51 eggs showing blood/meat spots were classified as RIR_CASE, and 61 normal eggs without blood/meat spot were classified as RIR_CON. Additional white-eggshell eggs ( = 124) without blood/meat spots from White Leghorn were selected as WL_CON. 16S rRNA sequencing was performed in both egg white and yolk. The results indicated that neither egg white nor yolk is sterile, with Proteobacteria identified as the dominant bacterial phyla. The microbial alpha diversity in both egg white and yolk of RIR_CASE was significantly lower compared to RIR_CON and WL_CON. Beta diversity analysis showed that the Weighted UniFrac Distance between RIR_CASE and RIR_CON in the egg yolk group was significantly larger than the distance between WL_CON and RIR_CON. It suggested that the difference of microbial diversity was mainly caused by blood and meat spots other than by chicken breeds. LEfSe analysis identified eight microbial taxa closely linked to the presence of blood and meat spots in egg white or yolk. Moreover, through the combination of random forest analysis, we identified the unique microbial biomarkers Comamonas_F and Chryseobacterium in the egg white of the RIR_CASE group.
Our study indicates that eggs with blood and meat spots occur at a higher frequency in brown-shell chickens and are accompanied by a distinct microbial community distribution.
鸡蛋中的血斑和肉斑被认为是影响鸡蛋品质的缺陷。以往研究表明,褐壳蛋中血斑和肉斑的出现频率远高于白壳蛋。然而,其实际发生频率及其对鸡蛋微生物组成的影响仍知之甚少。
在本研究中,我们分别检测了7个不同年龄段的罗德岛红鸡所产褐壳蛋和白来航鸡所产白壳蛋中的血斑和肉斑出现频率。
结果显示,褐壳蛋中血斑和肉斑的平均出现频率(63.99%)远高于白壳蛋(1.37%)。此外,我们分析了血斑和肉斑的存在与蛋清和蛋黄中微生物群落分布之间的关系。简要来说,我们从罗德岛红鸡中选取了褐壳蛋(n = 112),其中51枚出现血斑/肉斑的鸡蛋被归类为RIR_CASE组,61枚无血斑/肉斑的正常鸡蛋被归类为RIR_CON组。另外,从白来航鸡中选取了124枚无血斑/肉斑的白壳蛋作为WL_CON组。对蛋清和蛋黄均进行16S rRNA测序。结果表明,蛋清和蛋黄均非无菌,变形菌门被鉴定为主要细菌门类。与RIR_CON组和WL_CON组相比,RIR_CASE组蛋清和蛋黄中的微生物α多样性均显著降低。β多样性分析表明,蛋黄组中RIR_CASE组与RIR_CON组之间的加权UniFrac距离显著大于WL_CON组与RIR_CON组之间的距离。这表明微生物多样性的差异主要是由血斑和肉斑引起的,而非鸡的品种。LEfSe分析确定了8个与蛋清或蛋黄中血斑和肉斑存在密切相关的微生物类群。此外,通过随机森林分析的组合,我们在RIR_CASE组的蛋清中鉴定出独特的微生物生物标志物Comamonas_F和金黄杆菌属。
我们的研究表明,血斑和肉斑蛋在褐壳鸡中出现的频率更高,并且伴随着独特的微生物群落分布。