Metabolomics on serum levels and liver of male Tupaia belangeri from 12 locations in China by GC–MS

Hou, Dongmin; Jia, Ting; Zhang, Di; Gao, Wenrong; Zhu, Weiming; Wang, Zhengkun

doi:10.1007/s10529-020-02988-w

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…In our study, homo-l-arginine, threonine, and alpha-ketoglutaric-acid, as biomarkers, were significantly up-regulated in pika at high altitudes, indicating that high-altitude plateau pika improved energy metabolism. Furthermore, other amino acids and their derivatives, such as l-citrulline, dimethylglycine and Nacetyl-l-glutamic acid, were positively significantly correlated with higher altitudes, which could be related to higher metabolic activity (Hou et al 2020). As the top bacterial genus in high altitudes, Prevotella in plateau pika, ruminants, and humans living at higher altitudes showed higher abundance, which could be due to lower atmospheric oxygen levels (Li & Zhao 2015;Qu et al 2016;Lan et al 2017).…”

Section: Discussionmentioning

confidence: 94%

“…Furthermore, other amino acids and their derivatives, such as l ‐citrulline, dimethylglycine and N‐acetyl‐ l ‐glutamic acid, were positively significantly correlated with higher altitudes, which could be related to higher metabolic activity (Hou et al. 2020). As the top bacterial genus in high altitudes, Prevotella in plateau pika, ruminants, and humans living at higher altitudes showed higher abundance, which could be due to lower atmospheric oxygen levels (Li & Zhao 2015; Qu et al.…”

Section: Discussionmentioning

confidence: 99%

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Altitude‐dependent metabolite biomarkers reveal the mechanism of plateau pika adaptation to high altitudes

Chen

Wang

et al. 2023

Integr. Zool.

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The harsh environment in the Tibetan plateau, the highest place in the world, poses thermoregulatory challenges and hypoxic stress to animals. The impacts of plateau environment on animal physiology and reproduction include external factors such as strong ultraviolet radiation and low temperature, and internal factors such as animal metabolites and gut microbiota. However, it remains unclear how plateau pika adapt to high altitudes through the combination of serum metabolites and gut microbiota. To this end, we captured 24 wild plateau pikas at the altitudes of 3400, 3600, or 3800 m a.s.l. in a Tibetan alpine grassland. Using the machine learning algorithms (random forest), we identified five biomarkers of serum metabolites indicative of the altitudes, that is, dihydrotestosterone, homo‐l‐arginine, alpha‐ketoglutaric‐acid, serotonin, and threonine, which were related to body weight, reproduction, and energy metabolism of pika. Those metabolic biomarkers were positively correlated with Lachnospiraceae_ Agathobacter, Ruminococcaceae, or Prevotellaceae_Prevotella, suggesting the close relationship between metabolites and gut microbiota. By identifying the metabolic biomarkers and gut microbiota analysis, we reveal the mechanisms of adaptation to high altitudes in plateau pika.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Altitude‐dependent metabolite biomarkers reveal the mechanism of plateau pika adaptation to high altitudes

Chen

Wang

et al. 2023

Integr. Zool.

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“…The previous results by using metabolomics had showed that altitude and environment temperature may effect on physiological difference in T. belangeri (Hou et al . 2020). In the present, Mantel test between environmental differences and genetic differentiation showed that environment, altitude, temperature, and precipitation distance have significant correlation with genetic differentiation, indicating that environmental heterogeneity may play an important role in genetic differentiation in T. belangeri rather than geographic distance.…”

Section: Discussionmentioning

confidence: 99%

Population genomics provides insights into the evolution and adaptation of tree shrews (Tupaia belangeri) in China

Ren

Jia²,

Zhang

et al. 2022

Integr. Zool.

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Physiological adaptation of tree shrews (Tupaia belangeri) to changing environmental temperature has been reported in detail. However, the T. belangeri origin (mainland or island), population history, and adaptation to historical climate change remain largely unknown or controversial. Here, for the first time, we sequenced the simplified genome of 134 T. belangeri individuals from 12 populations in China and further resequenced one individual from each population. Using population genomic approaches, we first observed considerable genetic variation in T. belangeri. Moreover, T. belangeri populations formed obvious genetic structure and reflected different demographic histories; they generally exhibited high genetic diversity, although the isolated populations had relatively low genetic diversity. The results presented in this study indicate that T. b. modesta and T. b. tonquinia were separated recently and with a similar population dynamics. Second, physical barriers rather than distance were the driving factors of divergence, and environmental heterogeneity may play an important role in genetic differentiation in T. belangeri. Moreover, our analyses highlight the role of historical global climates in the T. belangeri population dynamics and indicate that the decrease of the T. belangeri population size may be due to the low temperature. Finally, we identified the olfaction‐associated adaptive genes between different altitude populations and found that olfactory‐related genes of high‐altitude populations were selectively eliminated. Our study provides demographic history knowledge of T. belangeri; their adaption history offers new insights into their evolution and adaptation, and provides valuable baseline information for conservation measures.

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“…T. belangeri, belonging to Tupaiidae, Scandentia, which is an endemic species of the Oriental Realm and is mainly distributed in Yunnan, Guizhou, Sichuan, Guangxi and Hainan Island in China (Hou et al, 2020). The distribution areas of T. belangeri had significant environmental differences, including high mountains, plateaus and tropical islands (Gao et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Geometric Morphometric Research of the Molars in Tree Shrews (Tupaia belangeri) from Different Regions

Yang,

Gao,

Ning

et al. 2024

IJAR

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Background: Biological traits are mainly determined by genotype and are also influenced by environmental factors, especially in the process of adapting to different environments, corresponding phenotypic variations may occur. Even for the same animal, there may be some morphological differences due to its long-term adaptation to different habitat environments. Molar teeth are the direct contact point between animals and the environment, which are of great significance in the study of animal adaptability to different environments. Methods: To explore the relationship between the morphology of the molars (upper molars and lower molars) of tree shrews (Tupaia belangeri) and environmental variations in different regions, we applied geometric morphometric methods to measure the morphological characteristics of the molars of T. belangeri in 12 different regions of China (Hainan, Daxin, Leye, Xingyi, Xichang, Hekou, Kunming, Mengla, Dali, Tengchong, Pianma, Laboratory bred F1 generation). Result: The results showed that the morphological variations of the lower molars of T. belangeri in 12 different regions were larger, which was more suitable and reference valuable for studying the morphological differences among different geographical populations. The Principal component analysis showed that T. belangeri from 12 regions were clustered into 4 branches: Hainan was clustered into one branch, Daxin was clustered into one branch, Pianma and Tengchong were clustered into one branch and Leye, Xingyi, Hekou, Kunming, Xichang, Mengla, Dali and laboratory bred F1 generation were clustered into one branch. The thin plate spline analysis showed that deformations in the upper molars were mostly concentrated in the alveolar and dental margins. The deformations of the lower molars were mainly concentrated in the alveolar, marginal and occlusal surfaces. Multidimensional scaling showed that there were differences in molars morphology among the 12 locations, with significant variations in Hainan, Daxin, Pianma and Tengchong regions, reflecting the adaptive variation of T. belangeri to different ecological environments. The present results can provide a certain basis for the study of phenotypic adaptation in T. belangeri.

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Metabolomics on serum levels and liver of male Tupaia belangeri from 12 locations in China by GC–MS

Cited by 4 publications

References 14 publications

Altitude‐dependent metabolite biomarkers reveal the mechanism of plateau pika adaptation to high altitudes

Altitude‐dependent metabolite biomarkers reveal the mechanism of plateau pika adaptation to high altitudes

Population genomics provides insights into the evolution and adaptation of tree shrews (Tupaia belangeri) in China

Geometric Morphometric Research of the Molars in Tree Shrews (Tupaia belangeri) from Different Regions

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