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A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification

Quantitative Trait Loci (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic lin...

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Autores principales: Fulop, Daniel, Ranjan, Aashish, Ofner, Itai, Covington, Michael F., Chitwood, Daniel H., West, Donelly, Ichihashi, Yasunori, Headland, Lauren, Zamir, Daniel, Maloof, Julin N., Sinha, Neelima R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068939/
https://www.ncbi.nlm.nih.gov/pubmed/27510891
http://dx.doi.org/10.1534/g3.116.030536
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author Fulop, Daniel
Ranjan, Aashish
Ofner, Itai
Covington, Michael F.
Chitwood, Daniel H.
West, Donelly
Ichihashi, Yasunori
Headland, Lauren
Zamir, Daniel
Maloof, Julin N.
Sinha, Neelima R.
author_facet Fulop, Daniel
Ranjan, Aashish
Ofner, Itai
Covington, Michael F.
Chitwood, Daniel H.
West, Donelly
Ichihashi, Yasunori
Headland, Lauren
Zamir, Daniel
Maloof, Julin N.
Sinha, Neelima R.
author_sort Fulop, Daniel
collection PubMed
description Quantitative Trait Loci (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such as the S. pennellii Introgression Line (IL) population, with a single wild introgression per line in an otherwise domesticated genetic background. Here, we report on a new advanced backcross QTL mapping resource for tomato, derived from a cross between the M82 tomato cultivar and S. pennellii. This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix of BC(2) and BC(3) lines, with domesticated tomato as the recurrent parent. The BIL population is complementary to the existing S. pennellii IL population, with which it shares parents. Using the BILs, we mapped traits for leaf complexity, leaflet shape, and flowering time. We demonstrate the utility of the BILs for fine-mapping QTL, particularly QTL initially mapped in the ILs, by fine-mapping several QTL to single or few candidate genes. Moreover, we confirm the value of a backcrossed population with multiple introgressions per line, such as the BILs, for epistatic QTL mapping. Our work was further enabled by the development of our own statistical inference and visualization tools, namely a heterogeneous hidden Markov model for genotyping the lines, and by using state-of-the-art sparse regression techniques for QTL mapping.
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spelling pubmed-50689392016-10-24 A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification Fulop, Daniel Ranjan, Aashish Ofner, Itai Covington, Michael F. Chitwood, Daniel H. West, Donelly Ichihashi, Yasunori Headland, Lauren Zamir, Daniel Maloof, Julin N. Sinha, Neelima R. G3 (Bethesda) Investigations Quantitative Trait Loci (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such as the S. pennellii Introgression Line (IL) population, with a single wild introgression per line in an otherwise domesticated genetic background. Here, we report on a new advanced backcross QTL mapping resource for tomato, derived from a cross between the M82 tomato cultivar and S. pennellii. This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix of BC(2) and BC(3) lines, with domesticated tomato as the recurrent parent. The BIL population is complementary to the existing S. pennellii IL population, with which it shares parents. Using the BILs, we mapped traits for leaf complexity, leaflet shape, and flowering time. We demonstrate the utility of the BILs for fine-mapping QTL, particularly QTL initially mapped in the ILs, by fine-mapping several QTL to single or few candidate genes. Moreover, we confirm the value of a backcrossed population with multiple introgressions per line, such as the BILs, for epistatic QTL mapping. Our work was further enabled by the development of our own statistical inference and visualization tools, namely a heterogeneous hidden Markov model for genotyping the lines, and by using state-of-the-art sparse regression techniques for QTL mapping. Genetics Society of America 2016-08-10 /pmc/articles/PMC5068939/ /pubmed/27510891 http://dx.doi.org/10.1534/g3.116.030536 Text en Copyright © 2016 Fulop et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Fulop, Daniel
Ranjan, Aashish
Ofner, Itai
Covington, Michael F.
Chitwood, Daniel H.
West, Donelly
Ichihashi, Yasunori
Headland, Lauren
Zamir, Daniel
Maloof, Julin N.
Sinha, Neelima R.
A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title_full A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title_fullStr A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title_full_unstemmed A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title_short A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification
title_sort new advanced backcross tomato population enables high resolution leaf qtl mapping and gene identification
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068939/
https://www.ncbi.nlm.nih.gov/pubmed/27510891
http://dx.doi.org/10.1534/g3.116.030536
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