Single‐Cell Transcriptomic Atlases of Camels and Cattle Unravel Molecular Evolution of Digestive and Metabolic Systems

Cellular and molecular characterization of mammals with multi-chambered stomachs is crucial to our understanding of evolution in digestive and metabolic systems. Here, we generate single-cell transcriptomic atlases of 253,448 and 279,057 cells from 54 tissues in camels and cattle, discovering 124 cell types. Cross-species comparisons at four developmental stages reveal a common evolutionary origin among camel glandular sac, third-chambered stomach, and bovine abomasum, with the camel lineages uniquely harboring a cell population characterized by heightened expression of genes involved in cell proliferation. Also, the advantages of camel hepatocytes in prevention of excessive fat deposition are uncovered. Interestingly, the spatial transcriptomic analysis further reveals a unique population of S100A4<sup>+</sup> vascular smooth muscle cells in camel rather than other mammalian kidneys, potentially involved in prevention of renal hypertension. Altogether, our study provides invaluable resources for evolutionary biology and highlights cellular innovations underlying mammalian adaptation.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-02-03
DOI
https://doi.org/10.1002/advs.202519346
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single‐Cell Transcriptomic Atlases of Camels and Cattle Unravel Molecular Evolution of Digestive and Metabolic Systems

Zhannur Niyazbekova, Houcheng Li, Huiquan Shan, Y. N. Wang et al.
Advanced Science
Single-cell and spatial transcriptomics
article

Single‐Cell Transcriptomic Atlases of Camels and Cattle Unravel Molecular Evolution of Digestive and Metabolic Systems

Zhannur Niyazbekova, Houcheng Li, Huiquan Shan, Y. N. Wang, Ao Zhang, Lingzhao Fang, Yi Zheng, Tao Shi, Huizeng Sun, Xuesha Cao, Jilong Ren, Senlin Zhu, Weijie Zheng, Bo Han, Yaqi Zhou, Minghui Jia, Xi Guo, Dongxiao Sun, Haoping Wang, Fei Wang, Guanghui Tan, Yu Jiang, Qi Zhang
article en

Abstract

Cellular and molecular characterization of mammals with multi-chambered stomachs is crucial to our understanding of evolution in digestive and metabolic systems. Here, we generate single-cell transcriptomic atlases of 253,448 and 279,057 cells from 54 tissues in camels and cattle, discovering 124 cell types. Cross-species comparisons at four developmental stages reveal a common evolutionary origin among camel glandular sac, third-chambered stomach, and bovine abomasum, with the camel lineages uniquely harboring a cell population characterized by heightened expression of genes involved in cell proliferation. Also, the advantages of camel hepatocytes in prevention of excessive fat deposition are uncovered. Interestingly, the spatial transcriptomic analysis further reveals a unique population of S100A4<sup>+</sup> vascular smooth muscle cells in camel rather than other mammalian kidneys, potentially involved in prevention of renal hypertension. Altogether, our study provides invaluable resources for evolutionary biology and highlights cellular innovations underlying mammalian adaptation.

Advanced Science
Aarhus University (DK), North West Agriculture and Forestry University (CN), Ministry of Agriculture (LV), Center for Excellence in Molecular Cell Science (CN), Ministry of Agriculture (ID), Kazakh National Agrarian Research University (KZ)
Openalex Percentile: Top 69%
Single-cell and spatial transcriptomics
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.