Evidence map›Paper›PMID 17284319›Full record

ArticleBMC genomics2007

A first generation BAC-based physical map of the channel catfish genome.

Sylvie M-A Quiniou, Geoffrey C Waldbieser, Mary V Duke

Abstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  7. 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
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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.

Sylvie M-A QuiniouUSDA-ARS/CGRU, 141 Experiment Station Rd, Stoneville, MS 38776, USA. squiniou@ars.usda.gov
Geoffrey C Waldbieser
Mary V Duke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChannel catfish, Ictalurus punctatus, is the leading species in North American aquaculture. Genetic improvement of catfish is performed through selective breeding, and genomic tools will help improve selection efficiency. A physical map is needed to integrate the genetic map with the karyotype and to support fine mapping of phenotypic trait alleles such as Quantitative Trait Loci (QTL) and the effective positional cloning of genes.

resultsA genome-wide physical map of the channel catfish was constructed by High-Information-Content Fingerprinting (HICF) of 46,548 Bacterial Artificial Chromosomes (BAC) clones using the SNaPshot technique. The clones were assembled into contigs with FPC software. The resulting assembly contained 1,782 contigs and covered an estimated physical length of 0.93 Gb. The validity of the assembly was demonstrated by 1) anchoring 19 of the largest contigs to the microsatellite linkage map 2) comparing the assembly of a multi-gene family to Restriction Fragment Length Polymorphism (RFLP) patterns seen in Southern blots, and 3) contig sequencing.

conclusionThis is the first physical map for channel catfish. The HICF technique allowed the project to be finished with a limited amount of human resource in a high throughput manner. This physical map will greatly facilitate the detailed study of many different genomic regions in channel catfish, and the positional cloning of genes controlling economically important production traits.

Indexed as

GenomePhysical Chromosome MappingAnimalsBase SequenceBlotting, SouthernChromosomes, Artificial, BacterialDNA PrimersElectrophoresis, CapillaryGenetic LinkageIctaluridaePolymorphism, Restriction Fragment LengthQuantitative Trait LociDNA Primers

Identifiers

PMID17284319
PMCPMC1800894

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Registered trials

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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.