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Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones
BACKGROUND: In the last few years, microsatellites have become the most popular molecular marker system and have intensively been applied in genome mapping, biodiversity and phylogeny studies of livestock. Compared to single nucleotide polymorphism (SNP) as another popular marker system, microsatell...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1315340/ https://www.ncbi.nlm.nih.gov/pubmed/16287508 http://dx.doi.org/10.1186/1471-2156-6-54 |
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author | Chen, Kefei Knorr, Christoph Bornemann-Kolatzki, Kirsten Ren, Jun Huang, Lusheng Rohrer, Gary A Brenig, Bertram |
author_facet | Chen, Kefei Knorr, Christoph Bornemann-Kolatzki, Kirsten Ren, Jun Huang, Lusheng Rohrer, Gary A Brenig, Bertram |
author_sort | Chen, Kefei |
collection | PubMed |
description | BACKGROUND: In the last few years, microsatellites have become the most popular molecular marker system and have intensively been applied in genome mapping, biodiversity and phylogeny studies of livestock. Compared to single nucleotide polymorphism (SNP) as another popular marker system, microsatellites reveal obvious advantages. They are multi-allelic, possibly more polymorphic and cheaper to genotype. Calculations showed that a multi-allelic marker system always has more power to detect Linkage Disequilibrium (LD) than does a di-allelic marker system [1]. Traditional isolation methods using partial genomic libraries are time-consuming and cost-intensive. In order to directly generate microsatellites from large-insert libraries a sequencing approach with repeat-containing oligonucleotides is introduced. RESULTS: Seventeen porcine microsatellite markers were isolated from eleven PAC clones by targeted oligonucleotide-mediated microsatellite identification (TOMMI), an improved efficient and rapid flanking sequence-based approach for the isolation of STS-markers. With the application of TOMMI, an average of 1.55 (CA/GT) microsatellites per PAC clone was identified. The number of alleles, allele size distribution, polymorphism information content (PIC), average heterozygosity (H(T)), and effective allele number (N(E)) for the STS-markers were calculated using a sampling of 336 unrelated animals representing fifteen pig breeds (nine European and six Chinese breeds). Sixteen of the microsatellite markers proved to be polymorphic (2 to 22 alleles) in this heterogeneous sampling. Most of the publicly available (porcine) microsatellite amplicons range from approximately 80 bp to 200 bp. Here, we attempted to utilize as much sequence information as possible to develop STS-markers with larger amplicons. Indeed, fourteen of the seventeen STS-marker amplicons have minimal allele sizes of at least 200 bp. Thus, most of the generated STS-markers can easily be integrated into multilocus assays covering a broader separation spectrum. Linkage mapping results of the markers indicate their potential immediate use in QTL studies to further dissect trait associated chromosomal regions. CONCLUSION: The sequencing strategy described in this study provides a targeted, inexpensive and fast method to develop microsatellites from large-insert libraries. It is well suited to generate polymorphic markers for selected chromosomal regions, contigs of overlapping clones and yields sufficient high quality sequence data to develop amplicons greater than 250 bases. |
format | Text |
id | pubmed-1315340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-13153402005-12-16 Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones Chen, Kefei Knorr, Christoph Bornemann-Kolatzki, Kirsten Ren, Jun Huang, Lusheng Rohrer, Gary A Brenig, Bertram BMC Genet Research Article BACKGROUND: In the last few years, microsatellites have become the most popular molecular marker system and have intensively been applied in genome mapping, biodiversity and phylogeny studies of livestock. Compared to single nucleotide polymorphism (SNP) as another popular marker system, microsatellites reveal obvious advantages. They are multi-allelic, possibly more polymorphic and cheaper to genotype. Calculations showed that a multi-allelic marker system always has more power to detect Linkage Disequilibrium (LD) than does a di-allelic marker system [1]. Traditional isolation methods using partial genomic libraries are time-consuming and cost-intensive. In order to directly generate microsatellites from large-insert libraries a sequencing approach with repeat-containing oligonucleotides is introduced. RESULTS: Seventeen porcine microsatellite markers were isolated from eleven PAC clones by targeted oligonucleotide-mediated microsatellite identification (TOMMI), an improved efficient and rapid flanking sequence-based approach for the isolation of STS-markers. With the application of TOMMI, an average of 1.55 (CA/GT) microsatellites per PAC clone was identified. The number of alleles, allele size distribution, polymorphism information content (PIC), average heterozygosity (H(T)), and effective allele number (N(E)) for the STS-markers were calculated using a sampling of 336 unrelated animals representing fifteen pig breeds (nine European and six Chinese breeds). Sixteen of the microsatellite markers proved to be polymorphic (2 to 22 alleles) in this heterogeneous sampling. Most of the publicly available (porcine) microsatellite amplicons range from approximately 80 bp to 200 bp. Here, we attempted to utilize as much sequence information as possible to develop STS-markers with larger amplicons. Indeed, fourteen of the seventeen STS-marker amplicons have minimal allele sizes of at least 200 bp. Thus, most of the generated STS-markers can easily be integrated into multilocus assays covering a broader separation spectrum. Linkage mapping results of the markers indicate their potential immediate use in QTL studies to further dissect trait associated chromosomal regions. CONCLUSION: The sequencing strategy described in this study provides a targeted, inexpensive and fast method to develop microsatellites from large-insert libraries. It is well suited to generate polymorphic markers for selected chromosomal regions, contigs of overlapping clones and yields sufficient high quality sequence data to develop amplicons greater than 250 bases. BioMed Central 2005-11-15 /pmc/articles/PMC1315340/ /pubmed/16287508 http://dx.doi.org/10.1186/1471-2156-6-54 Text en Copyright © 2005 Chen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Kefei Knorr, Christoph Bornemann-Kolatzki, Kirsten Ren, Jun Huang, Lusheng Rohrer, Gary A Brenig, Bertram Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title | Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title_full | Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title_fullStr | Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title_full_unstemmed | Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title_short | Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones |
title_sort | targeted oligonucleotide-mediated microsatellite identification (tommi) from large-insert library clones |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1315340/ https://www.ncbi.nlm.nih.gov/pubmed/16287508 http://dx.doi.org/10.1186/1471-2156-6-54 |
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