Targeted Intervention Strategies for Maternal-Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date: Jun 10, 2025

Abstract

Understanding the mechanisms of maternal microbial transmission is crucial for early gut microbiota development and long-term health outcomes in offspring. However, early maternal microbial interventions remain a challenge due to the complexity of accurately identifying transmitted taxa. Here, the maternal-offspring microbial transmission model (MOMTM), a deep learning framework specifically designed to map maternal microbiota transmission dynamics across pig breeds and developmental stages, is introduced. Using MOMTM, key transmitted taxa, such as the Christensenellaceae R-7 are successfully predicted, which show high transmission centrality during early development periods. Additionally, it is demonstrated that galacto-oligosaccharide intervention in sows promotes a Christensenellaceae R-7-dominated enterotype and improves fiber digestibility in offspring. Further analysis reveals that Christensenellaceae, particularly Christensenella minuta, have enhanced adhesion and mucin utilization capabilities, facilitating its gut colonization. These findings highlight MOMTM's potential as a novel approach for microbiota-targeted health interventions in early life, offering insights into strategies that promote gut health and development from birth.

Authors

  • Haibo Shen
    Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry, College of animal science and technology, Hunan Agricultural University, Changsha, 410128, China.
  • Xiaokang Ma
    Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry, College of animal science and technology, Hunan Agricultural University, Changsha, 410128, China.
  • Longlin Zhang
    Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry, College of animal science and technology, Hunan Agricultural University, Changsha, 410128, China.
  • Hao Li
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jichang Zheng
    Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry, College of animal science and technology, Hunan Agricultural University, Changsha, 410128, China.
  • Shengru Wu
    College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
  • Ke Zuo
    National University of Defense Technology, Changsha 410073, China.
  • Yulong Yin
    Key Laboratory of Agro-ecological Processes in Subtropical Region , Institute of Subtropical Agriculture , Chinese Academy of Sciences , 644# Yuandaer Road , Changsha 410125 , Hunan Province , China . Email: liaopeng@isa.ac.cn ; ; Tel: +86-731-8461-9703.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Bie Tan
    Key Laboratory of Agro-ecological Processes in Subtropical Region , Institute of Subtropical Agriculture , Chinese Academy of Sciences , 644# Yuandaer Road , Changsha 410125 , Hunan Province , China . Email: liaopeng@isa.ac.cn ; ; Tel: +86-731-8461-9703.

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