Evidence map›Paper›PMID 23590399›Full record

ArticleZebrafish2013

A sequence-based variation map of zebrafish.

Ashok Patowary, Ramya Purkanti, Meghna Singh, Rajendra Chauhan, Angom Ramcharan Singh, Mohit Swarnkar, Naresh Singh, Vikas Pandey, Carlos Torroja, Matthew D Clark and 7 more

Abstract read
In one paragraph

Article in Zebrafish, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genome and Transcriptome Sequencing ofInternational journal of molecular sciences · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Population genetic diversity in zebrafish lines.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

17 authors.

Ashok PatowaryCSIR- Institute of Genomics and Integrative Biology, Delhi, India.
Ramya Purkanti
Meghna Singh
Rajendra Chauhan
Angom Ramcharan Singh
Mohit Swarnkar
Naresh Singh
Vikas Pandey
Carlos Torroja
Matthew D Clark
Jean-Pierre Kocher
Karl J Clark
Derek L Stemple
Eric W Klee
Stephen C Ekker
Vinod Scaria
Sridhar Sivasubbu

Funding

Systematic Vertebrate Functional GenomicsR01GM063904 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EKKER, STEPHEN CARL · 2001 to 2025
$10.7M
Systematic Vertebrate Functional GenomicsR56GM063904 · NIGMS · MAYO CLINIC ROCHESTER · PI EKKER, STEPHEN CARL · 2009 to 2010
$611k
Developing zebrafish models to reveal interactions between stress and addictionR21DA032194 · NIDA · MAYO CLINIC ROCHESTER · PI CLARK, KARL J · 2011 to 2012
$394k
NIDA NIH HHS DA032194NIDA NIH HHS R21 DA032194NIGMS NIH HHS GM63904NIGMS NIH HHS R01 GM063904
6 · The paper itself

Abstract

Zebrafish (Danio rerio) is a popular vertebrate model organism largely deployed using outbred laboratory animals. The nonisogenic nature of the zebrafish as a model system offers the opportunity to understand natural variations and their effect in modulating phenotype. In an effort to better characterize the range of natural variation in this model system and to complement the zebrafish reference genome project, the whole genome sequence of a wild zebrafish at 39-fold genome coverage was determined. Comparative analysis with the zebrafish reference genome revealed approximately 5.2 million single nucleotide variations and over 1.6 million insertion-deletion variations. This dataset thus represents a new catalog of genetic variations in the zebrafish genome. Further analysis revealed selective enrichment for variations in genes involved in immune function and response to the environment, suggesting genome-level adaptations to environmental niches. We also show that human disease gene orthologs in the sequenced wild zebrafish genome show a lower ratio of nonsynonymous to synonymous single nucleotide variations.

Indexed as

Genetic VariationGenomePolymorphism, Single NucleotideAnimalsChromosome MappingINDEL MutationMaleMass SpectrometryMolecular Sequence DataSequence Analysis, DNASequence HomologyZebrafish

Identifiers

PMID23590399
PMCPMC3629779

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.