Causal estimation of the relationship between reproductive performance and the fecal bacteriome in cattle
In this study, a causal inference methodology was applied to investigate AI-dependent gut bacterial communities in pregnant cattle. These findings suggest that AI numbers, which are crucial for beef cattle production management, could be inferred from the fecal bacterial patterns nearly six months before the AI, rather than immediately before. This study provides a novel perspective of the gut environment and its role in reproductive performance.
Authors
- Teruno Nakaguma
- Kenji Mukawa
- Jun Kikuchi (ORCID: https://orcid.org/0000-0002-6809-394X)
- Noboru Ota
- Shigeharu Moriya (ORCID: https://orcid.org/0000-0002-2519-5874)
- Motoaki Udagawa
- Y. Inabu (ORCID: https://orcid.org/0000-0002-2592-9022)
- Makiko Matsuura (ORCID: https://orcid.org/0000-0003-1465-9108)
- Noriyuki Maeda
- Koki Hayasaki
- Hirokuni Miyamoto (ORCID: https://orcid.org/0000-0003-1618-6527)
- Seiji Yamasaki (ORCID: https://orcid.org/0000-0003-4801-8042)
- Yoshiro Kanmera
- Satoshi Wada
- Yuji Shiotsuka
- Atsushi Kurotani
- Ryoichi Fujino
- Chitose Ishii
- Hiroshi Ohno (ORCID: https://orcid.org/0000-0001-8776-9661)
- Haruki Yamano
- Hideyuki Takahashi
- Tetsuji Etoh
- Yutaka Taguchi
Institutions
- National Agriculture and Food Research Organization (JP)
- Kyushu University (JP)
- Chiba University (JP)
- Research Center for Agricultural Information Technology (JP)
- RIKEN Center for Sustainable Resource Science (JP)
- Itoham Foods (Japan) (JP)
- Mirai Hospital (JP)
- RIKEN Center for Integrative Medical Sciences (JP)
- RIKEN Center for Advanced Photonics (JP)
- Yokohama City University (JP)
Publication Details
- Journal
- Animal Microbiome
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1186/s42523-025-00396-x
- Citations
- 5
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 9.09