Cargando…
Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140510/ https://www.ncbi.nlm.nih.gov/pubmed/21799819 http://dx.doi.org/10.1371/journal.pone.0022306 |
_version_ | 1782208568652464128 |
---|---|
author | Ott, Alina Trautschold, Brian Sandhu, Devinder |
author_facet | Ott, Alina Trautschold, Brian Sandhu, Devinder |
author_sort | Ott, Alina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3140510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31405102011-07-28 Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes Ott, Alina Trautschold, Brian Sandhu, Devinder PLoS One Research Article 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. Public Library of Science 2011-07-20 /pmc/articles/PMC3140510/ /pubmed/21799819 http://dx.doi.org/10.1371/journal.pone.0022306 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Ott, Alina Trautschold, Brian Sandhu, Devinder Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title | Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title_full | Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title_fullStr | Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title_full_unstemmed | Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title_short | Using Microsatellites to Understand the Physical Distribution of Recombination on Soybean Chromosomes |
title_sort | using microsatellites to understand the physical distribution of recombination on soybean chromosomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140510/ https://www.ncbi.nlm.nih.gov/pubmed/21799819 http://dx.doi.org/10.1371/journal.pone.0022306 |
work_keys_str_mv | AT ottalina usingmicrosatellitestounderstandthephysicaldistributionofrecombinationonsoybeanchromosomes AT trautscholdbrian usingmicrosatellitestounderstandthephysicaldistributionofrecombinationonsoybeanchromosomes AT sandhudevinder usingmicrosatellitestounderstandthephysicaldistributionofrecombinationonsoybeanchromosomes |