Beyond omics: From descriptive profiling to causal and scalable design of fermentation microbiomes

Fermentation microbiomes play essential roles in food production, feed preservation, waste valorization, and diverse sustainable industrial processes. Although multi-omics and systems biology have substantially advanced our understanding of their assembly, interactions, and functional dynamics, industrial translation remains constrained by fragmented datasets, limited causal validation, and transport constraints during scale-up. Large language models act as upper-level knowledge and workflow orchestrators, accelerating data integration, hybrid AI-mechanistic modeling, hypothesis generation, and perturbation-guided learning. Collectively, these advances enable fermentation microbiome research to move beyond descriptive omics toward mechanism-guided synthetic microbial community design, causal validation, and scalable biomanufacturing.

Authors

Institutions

Publication Details

Journal
iMeta
Published
2026-07-30
DOI
https://doi.org/10.1002/imt2.70161
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond omics: From descriptive profiling to causal and scalable design of fermentation microbiomes

Dongze Niu, S. Bureenok, Taoli Huhe, Chuncheng Xu et al.
iMeta
Microbial Metabolic Engineering and Bioproduction
article

Beyond omics: From descriptive profiling to causal and scalable design of fermentation microbiomes

Dongze Niu, S. Bureenok, Taoli Huhe, Chuncheng Xu, Junfeng Li, Xuekai Wang, Huili Pang, Jingwen Cao, Qinhua Liu, Jing Zhang, Jidong Wang, Zhongfang Tan, Fuyu Yang, Yimin Cai, Peijie Han, Fengyan Bai, Kazuo Ataku, Lifeng Wang, Ansah Terry, Liang Song, Jong Geun Kim, Dayong Han, Tao Shao
article en

Abstract

Fermentation microbiomes play essential roles in food production, feed preservation, waste valorization, and diverse sustainable industrial processes. Although multi-omics and systems biology have substantially advanced our understanding of their assembly, interactions, and functional dynamics, industrial translation remains constrained by fragmented datasets, limited causal validation, and transport constraints during scale-up. Large language models act as upper-level knowledge and workflow orchestrators, accelerating data integration, hybrid AI-mechanistic modeling, hypothesis generation, and perturbation-guided learning. Collectively, these advances enable fermentation microbiome research to move beyond descriptive omics toward mechanism-guided synthetic microbial community design, causal validation, and scalable biomanufacturing.

iMeta
Nanjing Agricultural University (CN), Rajamangala University of Technology Isan (TH), Nanjing University of Finance and Economics (CN), Guizhou University (CN), Shanghai Jiao Tong University (CN), Yunnan Agricultural University (CN), Chinese Academy of Sciences (CN), Zhengzhou University (CN), Korea Environmental Industry and Technology Institute (KR), Guiyang University (CN), Institute of Microbiology (CN), Changzhou University (CN), China Agricultural University (CN), Rakuno Gakuen University (JP), University for Development Studies (GH)
National Natural Science Foundation of China, Tianjin Municipal Science and Technology Bureau
Zero hunger
Openalex Percentile: Top 15%
Microbial Metabolic Engineering and Bioproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.