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ORIGINAL RESEARCH article

Front. Nutr.

Sec. Nutrition and Microbes

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1561194

Brown-Shell Eggs Shows High Incidence of Blood and Meat Spots Accompanied by Unique Microbial Distribution Patterns

Provisionally accepted
Junfeng Wu Junfeng Wu 1Yiyuan Yan Yiyuan Yan 2Jiahua Chen Jiahua Chen 1Li Junying Li Junying 1Guangqi Li Guangqi Li 2Guiqin Wu Guiqin Wu 2Bin Wang Bin Wang 2Gang Zheng Gang Zheng 1Yuqin Yang Yuqin Yang 1Yushuang Du Yushuang Du 1Ling LIAN Ling LIAN 1*
  • 1 China Agricultural University, Beijing, Beijing Municipality, China
  • 2 Beijing Huadu Yukou Poultry Breeding Co., Ltd., Beijing, China

The final, formatted version of the article will be published soon.

    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 whiteshell 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 (n=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 (n=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.

    Keywords: Chicken eggs, egg quality, Egg contents, blood and meat spot, microbiota

    Received: 17 Jan 2025; Accepted: 07 Mar 2025.

    Copyright: © 2025 Wu, Yan, Chen, Junying, Li, Wu, Wang, Zheng, Yang, Du and LIAN. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ling LIAN, China Agricultural University, Beijing, 100083, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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