Evidence map›Paper›PMID 26886859›Full record

ArticleZebrafish2016

Pseudo-De Novo Assembly and Analysis of Unmapped Genome Sequence Reads in Wild Zebrafish Reveal Novel Gene Content.

Joshua J Faber-Hammond, Kim H Brown

Abstract read
In one paragraph

Article in Zebrafish, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors.

Joshua J Faber-HammondDepartment of Biology, Portland State University , Portland, Oregon.
Kim H BrownDepartment of Biology, Portland State University , Portland, Oregon.

Funding

Effects of Environmental Estrogen Exposure on Spontaneous Copy Number VariationR00ES018892 · NIEHS · PORTLAND STATE UNIVERSITY · PI BROWN, KIM H · 2012 to 2014
$736k
NIEHS NIH HHS R00 ES018892NIEHS NIH HHS R00ES018892
6 · The paper itself

Abstract

Zebrafish represents the third vertebrate with an officially completed genome, yet it remains incomplete with additions and corrections continuing with the current release, GRCz10, having 13% of zebrafish cDNA sequences unmapped. This disparity may result from population differences, given that the genome reference was generated from clonal individuals with limited genetic diversity. This is supported by the recent analysis of a single wild zebrafish, which identified over 5.2 million SNPs and 1.6 million in/dels in the previous genome build, zv9. Re-examination of this sequence data set indicated that 13.8% of quality sequence reads failed to align to GRCz10. Using a novel bioinformatics de novo assembly pipeline on these unmappable reads, we identified 1,514,491 novel contigs covering ∼224 Mb of genomic sequence. Among these, 1083 contigs were found to contain a potential gene coding sequence. RNA-seq data comparison confirmed that 362 contigs contained a transcribed DNA sequence, suggesting that a large amount of functional genomic sequence remains unannotated in the zebrafish reference genome. By utilizing the bioinformatics pipeline developed in this study, the zebrafish genome will be bolstered as a model for human disease research. Adaptation of the pipeline described here also offers a cost-efficient and effective method to identify and map novel genetic content across any genome and will ultimately aid in the completion of additional genomes for a broad range of species.

Indexed as

GenomeAnimalsChromosome MappingContig MappingSequence AlignmentSequence Analysis, DNAZebrafish

Identifiers

PMID26886859
PMCPMC4799696

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.