ArticleBMC research notes2011
A multi-organ transcriptome resource for the Burmese Python (Python molurus bivittatus).
Article in BMC research notes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Multi-omics Insight into Cardiac Myofibril Remodeling in Post-Prandial Burmese Pythons.bioRxiv : the preprint server for biology · 2026Article
- Comparative transcriptomics reveal tissue level specialization towards diet in prickleback fishes.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022Article
- Cytonuclear discordance in the Florida Everglades invasive Burmese python (Ecology and evolution · 2018Article
- Transcriptome analysis of the response of Burmese python to digestion.GigaScience · 2017Article
- Article
- Reptilian Transcriptomes v2.0: An Extensive Resource for Sauropsida Genomics and Transcriptomics.Genome biology and evolution · 2015Article
- Rapid changes in gene expression direct rapid shifts in intestinal form and function in the Burmese python after feeding.Physiological genomics · 2015Article
- Restriction and recruitment-gene duplication and the origin and evolution of snake venom toxins.Genome biology and evolution · 2014Article
- Using genes as characters and a parsimony analysis to explore the phylogenetic position of turtles.PloS one · 2013Article
- The first Chameleon transcriptome: comparative genomic analysis of the OXPHOS system reveals loss of COX8 in Iguanian lizards.Genome biology and evolution · 2013Article
- Article
- De novo sequence assembly and characterisation of a partial transcriptome for an evolutionarily distinct reptile, the tuatara (Sphenodon punctatus).BMC genomics · 2012Article
- Phylogenomic analyses support the position of turtles as the sister group of birds and crocodiles (Archosauria).BMC biology · 2012Article
- Dynamic evolution of venom proteins in squamate reptiles.Nature communications · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSnakes provide a unique vertebrate system for studying a diversity of extreme adaptations, including those related to development, metabolism, physiology, and venom. Despite their importance as research models, genomic resources for snakes are few. Among snakes, the Burmese python is the premier model for studying extremes of metabolic fluctuation and physiological remodelling. In this species, the consumption of large infrequent meals can induce a 40-fold increase in metabolic rate and more than a doubling in size of some organs. To provide a foundation for research utilizing the python, our aim was to assemble and annotate a transcriptome reference from the heart and liver. To accomplish this aim, we used the 454-FLX sequencing platform to collect sequence data from multiple cDNA libraries.
resultsWe collected nearly 1 million 454 sequence reads, and assembled these into 37,245 contigs with a combined length of 13,409,006 bp. To identify known genes, these contigs were compared to chicken and lizard gene sets, and to all Genbank sequences. A total of 13,286 of these contigs were annotated based on similarity to known genes or Genbank sequences. We used gene ontology (GO) assignments to characterize the types of genes in this transcriptome resource. The raw data, transcript contig assembly, and transcript annotations are made available online for use by the broader research community.
conclusionThese data should facilitate future studies using pythons and snakes in general, helping to further contribute to the utilization of snakes as a model evolutionary and physiological system. This sequence collection represents a major genomic resource for the Burmese python, and the large number of transcript sequences characterized should contribute to future research in this and other snake species.
Identifiers
What OpenQuestion holds
Registered trials
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.