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Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana
Traffic lines are transgenic stocks of Arabidopsis thaliana that contain a pair of linked seed-specific eGFP and DsRed markers. These stocks were originally developed for the purpose of studying recombination, but can also be used to follow the inheritance of unmarked chromosomes placed in trans to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526051/ https://www.ncbi.nlm.nih.gov/pubmed/36018241 http://dx.doi.org/10.1093/g3journal/jkac202 |
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author | Poethig, R Scott Cullina, William L Doody, Erin Floyd, Taré Fouracre, Jim P Hu, Tieqiang Xu, Mingli Zhao, Jianfei |
author_facet | Poethig, R Scott Cullina, William L Doody, Erin Floyd, Taré Fouracre, Jim P Hu, Tieqiang Xu, Mingli Zhao, Jianfei |
author_sort | Poethig, R Scott |
collection | PubMed |
description | Traffic lines are transgenic stocks of Arabidopsis thaliana that contain a pair of linked seed-specific eGFP and DsRed markers. These stocks were originally developed for the purpose of studying recombination, but can also be used to follow the inheritance of unmarked chromosomes placed in trans to the marked chromosome. They are particularly useful for this latter purpose if the distance between markers is short, making double recombination within this interval relatively rare. We generated 163 traffic lines that cover the Arabidopsis genome in overlapping intervals of approximately 1.2 Mb (6.9 cM). These stocks make it possible to predict the genotype of a plant based on its seed fluorescence (or lack thereof) and facilitate many experiments in genetic analysis that are difficult, tedious, or expensive to perform using current techniques. Here, we show how these lines enable a phenotypic analysis of alleles with weak or variable phenotypes, genetic mapping of novel mutations, introducing transgenes into a lethal or sterile genetic background, and separating closely linked mutations. |
format | Online Article Text |
id | pubmed-9526051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95260512022-10-03 Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana Poethig, R Scott Cullina, William L Doody, Erin Floyd, Taré Fouracre, Jim P Hu, Tieqiang Xu, Mingli Zhao, Jianfei G3 (Bethesda) Investigation Traffic lines are transgenic stocks of Arabidopsis thaliana that contain a pair of linked seed-specific eGFP and DsRed markers. These stocks were originally developed for the purpose of studying recombination, but can also be used to follow the inheritance of unmarked chromosomes placed in trans to the marked chromosome. They are particularly useful for this latter purpose if the distance between markers is short, making double recombination within this interval relatively rare. We generated 163 traffic lines that cover the Arabidopsis genome in overlapping intervals of approximately 1.2 Mb (6.9 cM). These stocks make it possible to predict the genotype of a plant based on its seed fluorescence (or lack thereof) and facilitate many experiments in genetic analysis that are difficult, tedious, or expensive to perform using current techniques. Here, we show how these lines enable a phenotypic analysis of alleles with weak or variable phenotypes, genetic mapping of novel mutations, introducing transgenes into a lethal or sterile genetic background, and separating closely linked mutations. Oxford University Press 2022-08-26 /pmc/articles/PMC9526051/ /pubmed/36018241 http://dx.doi.org/10.1093/g3journal/jkac202 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Poethig, R Scott Cullina, William L Doody, Erin Floyd, Taré Fouracre, Jim P Hu, Tieqiang Xu, Mingli Zhao, Jianfei Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title | Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title_full | Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title_fullStr | Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title_full_unstemmed | Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title_short | Short-interval traffic lines: versatile tools for genetic analysis in Arabidopsis thaliana |
title_sort | short-interval traffic lines: versatile tools for genetic analysis in arabidopsis thaliana |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526051/ https://www.ncbi.nlm.nih.gov/pubmed/36018241 http://dx.doi.org/10.1093/g3journal/jkac202 |
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