Metabolic Adaptation and Pulmonary ceRNA Network Plasticity in Orientallactaga sibirica During Water Deprivation Stress

Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. However, adaptive changes in respiratory metabolism and molecular mechanisms in lung tissues of small mammals under extreme water shortage conditions remain unclear. This study hypothesized that small desert mammals can adapt to extreme water shortage environments by regulating the plasticity of lung tissue gene expression and respiratory metabolism. Using 29 wild-caught Siberian jerboas (<i>Orientallactaga sibirica</i>) as subjects, we implemented a 12-day complete water deprivation protocol to simulate extreme aridity. Body weight, food intake, and daily energy expenditure (DEE) were monitored throughout the experiment. Whole-transcriptome sequencing of lung tissues was performed to profile mRNA, circRNA, and miRNA expression, with competitive endogenous RNA (ceRNA) network analysis to explore molecular mechanisms underlying lung adaptation to water deprivation. Over the 12-day water deprivation (WS) period, <i>Orientallactaga sibirica (O. sibirica)</i> exhibited a 30.3% reduction in body mass and a 68.1% decrease in food intake relative to the baseline level. DEE during the peak activity period at the end of the experiment was 12.6% lower in the WS group compared to the control group. In lung tissue, structural integrity-related genes (<i>Mybl2</i>, <i>Ccnb1</i>) were downregulated. A key finding was that <i>circ_0015576</i> exhibits a significant positive correlation with the potassium channel gene <i>Kcnk15</i> and a robust negative correlation with <i>miR-503-5p</i>-suggesting that <i>circ_0015576</i> functions as a competing endogenous RNA (ceRNA) to sequester <i>miR-503-5p</i> and thereby derepress <i>Kcnk15</i> expression. Core regulatory genes (<i>ApoA4</i>, <i>Dusp15</i> etc.) were also coordinately downregulated. Collectively, these results indicate that <i>O. sibirica</i> reduces overall energy expenditure, which may be associated with lung gene expression plasticity, such as those related with lung cell proliferation, pulmonary function, and gas exchange efficiency. This metabolic downregulation facilitates energy conservation under severe water scarcity.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-01
DOI
https://doi.org/10.3390/ijms27031458
Primary Topic
Bat Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Metabolic Adaptation and Pulmonary ceRNA Network Plasticity in Orientallactaga sibirica During Water Deprivation Stress

Heping Fu, XueYing ZHANG, Y. X. Jin, Linlin Li et al.
International Journal of Molecular Sciences
Bat Biology and Ecology Studies
article

Metabolic Adaptation and Pulmonary ceRNA Network Plasticity in Orientallactaga sibirica During Water Deprivation Stress

Heping Fu, XueYing ZHANG, Y. X. Jin, Linlin Li, Xin Li, Rong Zhang, dong zhang, Yu Ling, Xiaodong Wu, Shuai Yuan
article en

Abstract

Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. However, adaptive changes in respiratory metabolism and molecular mechanisms in lung tissues of small mammals under extreme water shortage conditions remain unclear. This study hypothesized that small desert mammals can adapt to extreme water shortage environments by regulating the plasticity of lung tissue gene expression and respiratory metabolism. Using 29 wild-caught Siberian jerboas (<i>Orientallactaga sibirica</i>) as subjects, we implemented a 12-day complete water deprivation protocol to simulate extreme aridity. Body weight, food intake, and daily energy expenditure (DEE) were monitored throughout the experiment. Whole-transcriptome sequencing of lung tissues was performed to profile mRNA, circRNA, and miRNA expression, with competitive endogenous RNA (ceRNA) network analysis to explore molecular mechanisms underlying lung adaptation to water deprivation. Over the 12-day water deprivation (WS) period, <i>Orientallactaga sibirica (O. sibirica)</i> exhibited a 30.3% reduction in body mass and a 68.1% decrease in food intake relative to the baseline level. DEE during the peak activity period at the end of the experiment was 12.6% lower in the WS group compared to the control group. In lung tissue, structural integrity-related genes (<i>Mybl2</i>, <i>Ccnb1</i>) were downregulated. A key finding was that <i>circ_0015576</i> exhibits a significant positive correlation with the potassium channel gene <i>Kcnk15</i> and a robust negative correlation with <i>miR-503-5p</i>-suggesting that <i>circ_0015576</i> functions as a competing endogenous RNA (ceRNA) to sequester <i>miR-503-5p</i> and thereby derepress <i>Kcnk15</i> expression. Core regulatory genes (<i>ApoA4</i>, <i>Dusp15</i> etc.) were also coordinately downregulated. Collectively, these results indicate that <i>O. sibirica</i> reduces overall energy expenditure, which may be associated with lung gene expression plasticity, such as those related with lung cell proliferation, pulmonary function, and gas exchange efficiency. This metabolic downregulation facilitates energy conservation under severe water scarcity.

International Journal of Molecular SciencesVol. 27(3)
Inner Mongolia Agricultural University (CN), Chinese Academy of Sciences (CN), Institute of Zoology (CN)
Natural Science Foundation of Inner Mongolia, Inner Mongolia Agricultural University, Xinjiang Agricultural University
Clean water and sanitation
Openalex Percentile: Top 78%
Bat Biology and Ecology Studies
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.