Evidence map›Paper›PMID 41057799›Full record

ArticleBMC genomics2025

Transcriptome analysis of five-toed jerboa organs reveals high-altitude adaptation mechanisms.

Shan-Shan Sun, Hao-Ting Zhang, Hai-Wen Yan, Xiao-Yu Kang, Qi-Qige Buren, Qian-Cheng Wang, Ming Ming, Jie-Ru Feng, Na Zhu, Xin Li and 5 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Shan-Shan SunCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Hao-Ting ZhangCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Hai-Wen YanCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Xiao-Yu KangCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Qi-Qige BurenCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Qian-Cheng WangCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Ming MingCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Jie-Ru FengCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Na ZhuCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Xin LiCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Yu LingCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Dong ZhangCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Xiao-Dong WuCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China.
Shuai YuanCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China. yuanshuai2020@163.com.
He-Ping FuCollege of Grassland Science, Inner Mongolia Agricultural University, 29 Erdos East Street, Saihan District, Hohhot, 010011, China. fuheping@126.com.

Funding

Department of Science and Technology of Inner Mongolia Autonomous Region 2021ZD0006Education Department of Inner Mongolia Autonomous Region BR221037Education Department of Inner Mongolia Autonomous Region BR221307Forestry and Grassland Administration of Inner Mongolia Autonomous Region RK2300002632inistry of Science and Technology of the People's Republic of China 2023FY100305National Natural Science Foundation of China 32090024Natural Science Foundation of Inner Mongolia (2023MS03025
6 · The paper itself

Abstract

High-altitude environments are characterised by extreme conditions, including hypoxia, low temperatures, and intense ultraviolet radiation. Mammals inhabiting these environments have evolved unique adaptive mechanisms, the study of which elucidates survival strategies and evolutionary pathways under extreme conditions. Understanding how native high-altitude animals respond to such environments is highly important. This study investigated the high-altitude adaptation mechanisms of the five-toed jerboa (Orientallactaga sibirica) distributed in Qinghai Province (4229 m) and Hebei Province (498 m), China, through comparative transcriptomic analysis of heart, lung, and kidney tissues. The results revealed greater mRNA transcriptional differences in the lung tissue than in the heart and kidney tissues of high-altitude jerboas, indicating heightened lung sensitivity to high-altitude conditions. In lung tissue, high-altitude jerboas show differential expression of genes related to the Complement and Coagulation cascades, Heme binding, Oxidation-reduction process (such as MASP1, A2M, SERPING1, CD55, FGA, C5AR1, and KNG1), which may be associated with modulating immune functions to mitigate hypobaric hypoxia, intense radiation, and cold-induced damage and reducing thrombosis and inflammation risks. Heart tissue exhibits differential expression of Oxidative phosphorylation and Lipid metabolism genes (such as NDUFC2, NDUFA3, NDUFS4, COX4I2, PAFAH1B3, SGMS2 and PPAR2B), which may help maintain energy equilibrium under hypoxic and cold challenges. Kidney tissue exhibits differential enrichment of pathways such as arachidonic acid metabolism and steroid hormone biosynthesis mediated by genes including CYP4A11, CYP2C29, GPX2, PTGDS, CBR1, and UGT2B31, which may help coordinate vascular regulation, immune response, and oxidative balance to maintain systemic homeostasis. These pathways and genes are differentially enriched and expressed between high-altitude and low-altitude five-toed jerboas, which may be candidates for further functional studies of plateau environmental adaptability. Our findings provide candidate genes and pathways for intraspecies adaptations across microenvironments and highlight the need for further functional validation.

Indexed as

Adaptation, PhysiologicalAltitudeGene Expression ProfilingTranscriptomeAnimalsKidneyLungMyocardiumComparative transcriptomicsHigh-altitude adaptationHypoxic adaptationOrientallactaga sibirica

Identifiers

PMID41057799
PMCPMC12506385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.