Evidence map›Paper›PMID 21867488›Full record

ArticleBMC research notes2011

A multi-organ transcriptome resource for the Burmese Python (Python molurus bivittatus).

Todd A Castoe, Samuel E Fox, Ap Jason de Koning, Alexander W Poole, Juan M Daza, Eric N Smith, Todd C Mockler, Stephen M Secor, David D Pollock

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Comparative transcriptomics reveal tissue level specialization towards diet in prickleback fishes.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Todd A CastoeDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045 USA. todd.castoe@ucdenver.edu.
Samuel E Fox
Ap Jason de Koning
Alexander W Poole
Juan M Daza
Eric N Smith
Todd C Mockler
Stephen M Secor
David D Pollock

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

PMID21867488
PMCPMC3173347

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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.