Supporting data for "Transcriptome Analysis of the Response of Burmese Python to Digestion"

Dataset type: Transcriptomic, Proteomic
Data released on July 06, 2017

Duan J; Sanggaard KW; Schauser L; Lauridsen SE; Enghild JJ; Schierup MH; Wang T (2017): Supporting data for "Transcriptome Analysis of the Response of Burmese Python to Digestion" GigaScience Database. http://dx.doi.org/10.5524/100320

DOI10.5524/100320

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 five visceral organs during fasting as well as 24h and 48h 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 (FPKM>100 in one tissue) we found 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 appears to support the postprandial rise in metabolism. We identify stomach-related proteins from a digesting individual and demonstrate that the sensitivity of modern LC-MS/MS equipment allows the identification of gastric juice proteins that are present during digestion.

Additional details

Read the peer-reviewed publication(s):

(PubMed: 28873961)

Accessions (data generated as part of this study):

PRIDE: PXD006665
BioProject: PRJNA343735





Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
SRS1706079176946 Burmese pythonPython bivittatus Description:Liver tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792573
Tissue:Liver
...
+
SRS1706080176946 Burmese pythonPython bivittatus Description:Heart tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792570
Tissue:Heart
...
+
SRS1706081176946 Burmese pythonPython bivittatus Description:Heart tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792572
Tissue:Heart
...
+
SRS1706082176946 Burmese pythonPython bivittatus Description:Liver tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792575
Tissue:Liver
...
+
SRS1706083176946 Burmese pythonPython bivittatus Description:Heart tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792856
Tissue:Heart
...
+
SRS1706084176946 Burmese pythonPython bivittatus Description:Pancreas tissue cDNA from Burmese Pyth...
Alternative accession-BioSample:SAMN05792584
Tissue:Pancreas
...
+
SRS1706085176946 Burmese pythonPython bivittatus Description:Stomach tissue cDNA from Burmese Pytho...
Alternative accession-BioSample:SAMN05792581
Tissue:Stomach
...
+
SRS1706086176946 Burmese pythonPython bivittatus Description:Intestine tissue cDNA from Burmese Pyt...
Alternative accession-BioSample:SAMN05792578
Tissue:Intestine
...
+
SRS1706087176946 Burmese pythonPython bivittatus Description:Liver tissue cDNA from Burmese Python ...
Alternative accession-BioSample:SAMN05792857
Tissue:Liver
...
+
SRS1706088176946 Burmese pythonPython bivittatus Description:Stomach tissue cDNA from Burmese Pytho...
Alternative accession-BioSample:SAMN05792858
Tissue:Stomach
...
+
Displaying 1-10 of 25 Sample(s).




File NameSample IDData TypeFile FormatSizeRelease Date 
Protein sequenceUNKNOWN7.15 MB2017-06-27
Protein sequenceUNKNOWN20.27 MB2017-06-27
Protein sequenceUNKNOWN204.53 MB2017-06-27
Protein sequenceUNKNOWN76.88 MB2017-06-27
Protein sequenceUNKNOWN6.73 MB2017-06-27
Protein sequenceUNKNOWN401.26 MB2017-06-27
Protein sequenceUNKNOWN85.57 MB2017-06-27
Protein sequenceUNKNOWN6.48 MB2017-06-27
Protein sequenceUNKNOWN441.53 MB2017-06-27
Protein sequenceUNKNOWN61.67 MB2017-06-27
Displaying 1-10 of 71 File(s).
Funding body Awardee Award ID Comments
Danish Research Council for Strategic Research T Wang 09-067076
Danish Council for Independent Research JJ Enghild DFF-12-126136
Date Action
July 6, 2017 Dataset publish
July 14, 2017 File readme.txt updated
October 2, 2017 Manuscript Link added : 10.1093/gigascience/gix057
November 9, 2022 Manuscript Link updated : 10.1093/gigascience/gix057