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High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture
Agrobacterium-mediated transformation of plants with T-DNA is used both to introduce transgenes and for mutagenesis. Conventional approaches used to identify the genomic location and the structure of the inserted T-DNA are laborious and high-throughput methods using next-generation sequencing are be...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596565/ https://www.ncbi.nlm.nih.gov/pubmed/26445462 http://dx.doi.org/10.1371/journal.pone.0139672 |
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author | Inagaki, Soichi Henry, Isabelle M. Lieberman, Meric C. Comai, Luca |
author_facet | Inagaki, Soichi Henry, Isabelle M. Lieberman, Meric C. Comai, Luca |
author_sort | Inagaki, Soichi |
collection | PubMed |
description | Agrobacterium-mediated transformation of plants with T-DNA is used both to introduce transgenes and for mutagenesis. Conventional approaches used to identify the genomic location and the structure of the inserted T-DNA are laborious and high-throughput methods using next-generation sequencing are being developed to address these problems. Here, we present a cost-effective approach that uses sequence capture targeted to the T-DNA borders to select genomic DNA fragments containing T-DNA—genome junctions, followed by Illumina sequencing to determine the location and junction structure of T-DNA insertions. Multiple probes can be mixed so that transgenic lines transformed with different T-DNA types can be processed simultaneously, using a simple, index-based pooling approach. We also developed a simple bioinformatic tool to find sequence read pairs that span the junction between the genome and T-DNA or any foreign DNA. We analyzed 29 transgenic lines of Arabidopsis thaliana, each containing inserts from 4 different T-DNA vectors. We determined the location of T-DNA insertions in 22 lines, 4 of which carried multiple insertion sites. Additionally, our analysis uncovered a high frequency of unconventional and complex T-DNA insertions, highlighting the needs for high-throughput methods for T-DNA localization and structural characterization. Transgene insertion events have to be fully characterized prior to use as commercial products. Our method greatly facilitates the first step of this characterization of transgenic plants by providing an efficient screen for the selection of promising lines. |
format | Online Article Text |
id | pubmed-4596565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45965652015-10-20 High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture Inagaki, Soichi Henry, Isabelle M. Lieberman, Meric C. Comai, Luca PLoS One Research Article Agrobacterium-mediated transformation of plants with T-DNA is used both to introduce transgenes and for mutagenesis. Conventional approaches used to identify the genomic location and the structure of the inserted T-DNA are laborious and high-throughput methods using next-generation sequencing are being developed to address these problems. Here, we present a cost-effective approach that uses sequence capture targeted to the T-DNA borders to select genomic DNA fragments containing T-DNA—genome junctions, followed by Illumina sequencing to determine the location and junction structure of T-DNA insertions. Multiple probes can be mixed so that transgenic lines transformed with different T-DNA types can be processed simultaneously, using a simple, index-based pooling approach. We also developed a simple bioinformatic tool to find sequence read pairs that span the junction between the genome and T-DNA or any foreign DNA. We analyzed 29 transgenic lines of Arabidopsis thaliana, each containing inserts from 4 different T-DNA vectors. We determined the location of T-DNA insertions in 22 lines, 4 of which carried multiple insertion sites. Additionally, our analysis uncovered a high frequency of unconventional and complex T-DNA insertions, highlighting the needs for high-throughput methods for T-DNA localization and structural characterization. Transgene insertion events have to be fully characterized prior to use as commercial products. Our method greatly facilitates the first step of this characterization of transgenic plants by providing an efficient screen for the selection of promising lines. Public Library of Science 2015-10-07 /pmc/articles/PMC4596565/ /pubmed/26445462 http://dx.doi.org/10.1371/journal.pone.0139672 Text en © 2015 Inagaki et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Inagaki, Soichi Henry, Isabelle M. Lieberman, Meric C. Comai, Luca High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title | High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title_full | High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title_fullStr | High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title_full_unstemmed | High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title_short | High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture |
title_sort | high-throughput analysis of t-dna location and structure using sequence capture |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596565/ https://www.ncbi.nlm.nih.gov/pubmed/26445462 http://dx.doi.org/10.1371/journal.pone.0139672 |
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