ArticleGigaScience2017
Transcriptome analysis of the response of Burmese python to digestion.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Multi-omics Insight into Cardiac Myofibril Remodeling in Post-Prandial Burmese Pythons.bioRxiv : the preprint server for biology · 2026Article
- Rapid stimulation of protein synthesis in digesting snakes: Unveiling a novel gut-pancreas-muscle axis.Acta physiologica (Oxford, England) · 2025Article
- Molecular regulation of reversible cardiac remodeling: lessons from species with extreme physiological adaptations.The Journal of experimental biology · 2024Review
- Postprandial cardiac hypertrophy is sustained by mechanics, epigenetic, and metabolic reprogramming in pythons.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Convergent evolution of toxin resistance in animals.Biological reviews of the Cambridge Philosophical Society · 2022Review
- Animal Models of Exercise From Rodents to Pythons.Circulation research · 2022Review
- Burmese pythons exhibit a transient adaptation to nutrient overload that prevents liver damage.The Journal of general physiology · 2022Article
- Catecholamines are key modulators of ventricular repolarization patterns in the ball python (Python regius).The Journal of general physiology · 2022Article
- In-depth transcriptome reveals the potential biotechnological application ofThe journal of venomous animals and toxins including tropical diseases · 2020Article
- Reptiles as a Model System to Study Heart Development.Cold Spring Harbor perspectives in biology · 2020Review
- Transcriptome sequencing reveals signatures of positive selection in the Spot-Tailed Earless Lizard.PloS one · 2020Article
- Genome of the Komodo dragon reveals adaptations in the cardiovascular and chemosensory systems of monitor lizards.Nature ecology & evolution · 2019Article
- Transcriptome analysis of the response of Burmese python to digestion.GigaScience · 2017Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exceptional and extreme feeding behaviour makes the Burmese python (Python bivittatus) an interesting model to study physiological remodelling and metabolic adaptation in response to refeeding after prolonged starvation. In this study, we used transcriptome sequencing of 5 visceral organs during fasting as well as 24 hours and 48 hours after ingestion of a large meal to unravel the postprandial changes in Burmese pythons. We first used the pooled data to perform a de novo assembly of the transcriptome and supplemented this with a proteomic survey of enzymes in the plasma and gastric fluid. We constructed a high-quality transcriptome with 34 423 transcripts, of which 19 713 (57%) were annotated. Among highly expressed genes (fragments per kilo base per million sequenced reads > 100 in 1 tissue), we found that the transition from fasting to digestion was associated with differential expression of 43 genes in the heart, 206 genes in the liver, 114 genes in the stomach, 89 genes in the pancreas, and 158 genes in the intestine. We interrogated the function of these genes to test previous hypotheses on the response to feeding. We also used the transcriptome to identify 314 secreted proteins in the gastric fluid of the python. Digestion was associated with an upregulation of genes related to metabolic processes, and translational changes therefore appear to support the postprandial rise in metabolism. We identify stomach-related proteins from a digesting individual and demonstrate that the sensitivity of modern liquid chromatography/tandem mass spectrometry equipment allows the identification of gastric juice proteins that are present during digestion.
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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.