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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...

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Autores principales: Poethig, R Scott, Cullina, William L, Doody, Erin, Floyd, Taré, Fouracre, Jim P, Hu, Tieqiang, Xu, Mingli, Zhao, Jianfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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.
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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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