Evidence map›Paper›PMID 23031582›Full record

ArticleBMC genomics2012

Meiotic maps of sockeye salmon derived from massively parallel DNA sequencing.

Meredith V Everett, Michael R Miller, James E Seeb

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  12. Construction of a high-density, high-resolution genetic map and its integration with BAC-based physical map in channel catfish.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
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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

3 authors at 2 institutions in 1 country.

Meredith V EverettSchool of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195-5020, USA. mav@u.washington.edu
Michael R Miller
James E Seeb
University of Washington · USUniversity of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeiotic maps are a key tool for comparative genomics and association mapping studies. Next-generation sequencing and genotyping by sequencing are speeding the processes of SNP discovery and the development of new genetic tools, including meiotic maps for numerous species. Currently there are limited genetic resources for sockeye salmon, Oncorhynchus nerka. We develop the first dense meiotic map for sockeye salmon using a combination of novel SNPs found in restriction site associated DNA (RAD tags) and SNPs available from existing expressed sequence tag (EST) based assays.

resultsWe discovered and genotyped putative SNPs in 3,430 RAD tags. We removed paralogous sequence variants leaving 1,672 SNPs; these were combined with 53 EST-based SNP genotypes for linkage mapping. The map contained 29 male and female linkage groups, consistent with the haploid chromosome number expected for sockeye salmon. The female map contains 1,057 loci spanning 4,896 cM, and the male map contains 1,118 loci spanning 4,220 cM. Regions of conservation with rainbow trout and synteny between the RAD based rainbow trout map and the sockeye salmon map were established.

conclusionsUsing RAD sequencing and EST-based SNP assays we successfully generated the first high density linkage map for sockeye salmon.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsChromosome MappingFemaleGenetic LociGenetic MarkersGenotyping TechniquesMaleMeiosisPolymorphism, Single NucleotideSalmonGenetic Markers

Identifiers

PMID23031582
PMCPMC3563581
OpenAlexW2170435863

What OpenQuestion holds

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LicenceCC BY
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.