Evidence map›Paper›PMID 18205909›Full record

ArticleBMC genomics2008

Enhancing genetic mapping of complex genomes through the design of highly-multiplexed SNP arrays: application to the large and unsequenced genomes of white spruce and black spruce.

Nathalie Pavy, Betty Pelgas, Stéphanie Beauseigle, Sylvie Blais, France Gagnon, Isabelle Gosselin, Manuel Lamothe, Nathalie Isabel, Jean Bousquet

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
20.0field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 136 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Nathalie PavyArborea and Canada Research Chair in Forest and Environmental Genomics, Centre d'Etude de la Forêt, Pavillon Charles-Eugène-Marchand, Université Laval, Québec, Québec G1V 0A6, Canada. nathalie.pavy@rsvs.ulaval.ca
Betty Pelgas
Stéphanie Beauseigle
Sylvie Blais
France Gagnon
Isabelle Gosselin
Manuel Lamothe
Nathalie Isabel
Jean Bousquet
Université Laval · CACanadian Forest Service · CANatural Resources Canada · CANatural Sciences and Engineering Research Council of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the potential value of high-throughput genotyping assays in the analysis of large and complex genomes, we designed two highly multiplexed Illumina bead arrays using the GoldenGate SNP assay for gene mapping in white spruce (Picea glauca [Moench] Voss) and black spruce (Picea mariana [Mill.] B.S.P.).

resultsEach array included 768 SNPs, identified by resequencing genomic DNA from parents of each mapping population. For white spruce and black spruce, respectively, 69.2% and 77.1% of genotyped SNPs had valid GoldenGate assay scores and segregated in the mapping populations. For each of these successful SNPs, on average, valid genotyping scores were obtained for over 99% of progeny. SNP data were integrated to pre-existing ALFP, ESTP, and SSR markers to construct two individual linkage maps and a composite map for white spruce and black spruce genomes. The white spruce composite map contained 821 markers including 348 gene loci. Also, 835 markers including 328 gene loci were positioned on the black spruce composite map. In total, 215 anchor markers (mostly gene markers) were shared between the two species. Considering lineage divergence at least 10 Myr ago between the two spruces, interspecific comparison of homoeologous linkage groups revealed remarkable synteny and marker colinearity.

conclusionThe design of customized highly multiplexed Illumina SNP arrays appears as an efficient procedure to enhance the mapping of expressed genes and make linkage maps more informative and powerful in such species with poorly known genomes. This genotyping approach will open new avenues for co-localizing candidate genes and QTLs, partial genome sequencing, and comparative mapping across conifers.

Indexed as

Genome, PlantOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideChromosome MappingChromosomes, PlantCluster AnalysisComputational BiologyCrosses, GeneticDNA, PlantDNA PrimersExpressed Sequence TagsGenetic MarkersGenotypeNucleic Acid Amplification TechniquesPiceaPolymerase Chain ReactionDNA, PlantDNA PrimersGenetic Markers

Identifiers

PMID18205909
PMCPMC2246113
OpenAlexW1995061033

What OpenQuestion holds

Textmetadata
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.