Evidence map›Paper›PMID 21799819›Full record

ArticlePloS one2011

Using microsatellites to understand the physical distribution of recombination on soybean chromosomes.

Alina Ott, Brian Trautschold, Devinder Sandhu

Abstract read
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Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
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16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. First genetic maps development and QTL mining inFrontiers in plant science · 2022
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  5. Article
  6. Article
  7. Article
  8. Article
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  10. Genome-wide microsatellite characterization and marker development in the sequenced Brassica crop species.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014
    Article
  11. Characterization of the genetic changes in a multi-generational pedigree of an elite Canadian soybean cultivar.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  12. Article
  13. Dynamic genetic features of chromosomes revealed by comparison of soybean genetic and sequence-based physical maps.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
    Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Alina OttDepartment of Biology, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, United States of America.
Brian Trautschold
Devinder Sandhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a major crop that is an important source of oil and proteins. A number of genetic linkage maps have been developed in soybean. Specifically, hundreds of simple sequence repeat (SSR) markers have been developed and mapped. Recent sequencing of the soybean genome resulted in the generation of vast amounts of genetic information. The objectives of this investigation were to use SSR markers in developing a connection between genetic and physical maps and to determine the physical distribution of recombination on soybean chromosomes. A total of 2,188 SSRs were used for sequence-based physical localization on soybean chromosomes. Linkage information was used from different maps to create an integrated genetic map. Comparison of the integrated genetic linkage maps and sequence based physical maps revealed that the distal 25% of each chromosome was the most marker-dense, containing an average of 47.4% of the SSR markers and 50.2% of the genes. The proximal 25% of each chromosome contained only 7.4% of the markers and 6.7% of the genes. At the whole genome level, the marker density and gene density showed a high correlation (R(2)) of 0.64 and 0.83, respectively with the physical distance from the centromere. Recombination followed a similar pattern with comparisons indicating that recombination is high in telomeric regions, though the correlation between crossover frequency and distance from the centromeres is low (R(2) = 0.21). Most of the centromeric regions were low in recombination. The crossover frequency for the entire soybean genome was 7.2%, with extremes much higher and lower than average. The number of recombination hotspots varied from 1 to 12 per chromosome. A high correlation of 0.83 between the distribution of SSR markers and genes suggested close association of SSRs with genes. The knowledge of distribution of recombination on chromosomes may be applied in characterizing and targeting genes.

Indexed as

Chromosomes, PlantGenes, PlantGlycine maxMicrosatellite RepeatsPhysical Chromosome MappingRecombination, Genetic

Identifiers

PMID21799819
PMCPMC3140510

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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.