Evidence map›Paper›PMID 20939885›Full record

ArticleBMC genomics2010

Representativeness of microsatellite distributions in genomes, as revealed by 454 GS-FLX titanium pyrosequencing.

Jean-Francois Martin, Nicolas Pech, Emese Meglécz, Stéphanie Ferreira, Caroline Costedoat, Vincent Dubut, Thibaut Malausa, André Gilles

Abstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  6. Genomic toolboxes for conservation biologists.Evolutionary applications · 2012
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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

8 authors.

Jean-Francois MartinCentre de biologie et de gestion des Populations, Montpellier SupAgro, INRA, IRD, CIRAD, Campus International de Baillarguet, CS30016, Montferrier sur Lez cedex, France. martinjf@supagro.inra.fr
Nicolas Pech
Emese Meglécz
Stéphanie Ferreira
Caroline Costedoat
Vincent Dubut
Thibaut Malausa
André Gilles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrosatellites are markers of choice in population genetics and genomics, as they provide useful insight into patterns and processes as diverse as genome evolutionary dynamics and demographic processes. The acquisition of microsatellites through multiplex-enriched libraries and 454 GS-FLX Titanium pyrosequencing is a promising new tool for the isolation of new markers in unknown genomes. This approach can also be used to evaluate the extent to which microsatellite-enriched libraries are representative of the genome from which they were isolated. In this study, we deciphered potential discrepancies in microsatellite content recovery for two reference genomes (Apis mellifera and Danio rerio), selected on the basis of their extreme heterogeneity in terms of the proportions and distributions of microsatellites on chromosomes.

resultsThe A. mellifera genome, in particular, was found to be highly heterogeneous, due to extremely high rates of recombination, with hotspots, but the only bias consistently introduced into pyrosequenced multiplex-enriched libraries concerned sequence length, with the overrepresentation of sequences 160 to 320 bp in length. Other deviations from expected proportions or distributions of motifs on chromosomes were observed, but the significance and intensity of these deviations was mostly limited. Furthermore, no consistent adverse competition between multiplexed probes was observed during the motif enrichment phase.

conclusionsThis approach therefore appears to be a promising strategy for improving the development of microsatellites, as it introduces no major bias in terms of the proportions and distribution of microsatellites.

Indexed as

TemperatureAnimalsBase SequenceBeesBiasChromosomesDNA ProbesGene LibraryGenetic LociGenomeMicrosatellite RepeatsModels, GeneticSequence Analysis, DNATitaniumZebrafishDNA ProbesTitanium

Identifiers

PMID20939885
PMCPMC3091709

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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.